From d740f48098296c6cf2cd983c8a7912e2aa9aa1aa Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?L=C3=AA=20Trung=20Ho=C3=A0ng?= Date: Tue, 9 Mar 2021 15:50:05 +0800 Subject: [PATCH] Add ComparER models (#392) --- README.md | 1 + cornac/datasets/amazon_toy.py | 4 +- cornac/models/__init__.py | 2 + cornac/models/comparer/__init__.py | 17 + cornac/models/comparer/recom_comparer_obj.cpp | 66394 ++++++++++++++++ cornac/models/comparer/recom_comparer_obj.pyx | 699 + cornac/models/comparer/recom_comparer_sub.cpp | 64518 +++++++++++++++ cornac/models/comparer/recom_comparer_sub.pyx | 748 + docs/source/models.rst | 8 + setup.py | 14 + 10 files changed, 132403 insertions(+), 2 deletions(-) create mode 100644 cornac/models/comparer/__init__.py create mode 100644 cornac/models/comparer/recom_comparer_obj.cpp create mode 100644 cornac/models/comparer/recom_comparer_obj.pyx create mode 100644 cornac/models/comparer/recom_comparer_sub.cpp create mode 100644 cornac/models/comparer/recom_comparer_sub.pyx diff --git a/README.md b/README.md index b929adb21..ddd20f05d 100644 --- a/README.md +++ b/README.md @@ -105,6 +105,7 @@ The recommender models supported by Cornac are listed below. Why don't you join | Year | Model and paper | Additional dependencies | Examples | | :---: | --- | :---: | :---: | | 2021 | [Bilateral Variational Autoencoder for Collaborative Filtering (BiVAECF)](cornac/models/bivaecf), [paper](#) | [requirements.txt](cornac/models/bivaecf/requirements.txt) | [PreferredAI/bi-vae](https://github.com/PreferredAI/bi-vae) +| 2021 | [Explainable Recommendation with Comparative Constraints on Product Aspects](cornac/models/comparer), [paper](#) | N/A | [PreferredAI/ComparER](https://github.com/PreferredAI/ComparER) | 2018 | [Collaborative Context Poisson Factorization (C2PF)](cornac/models/c2pf), [paper](https://www.ijcai.org/proceedings/2018/0370.pdf) | N/A | [c2pf_exp.py](examples/c2pf_example.py) | | [Multi-Task Explainable Recommendation (MTER)](cornac/models/mter), [paper](https://arxiv.org/pdf/1806.03568.pdf) | N/A | [mter_exp.py](examples/mter_example.py) | | [Neural Attention Rating Regression with Review-level Explanations (NARRE)](cornac/models/narre), [paper](http://www.thuir.cn/group/~YQLiu/publications/WWW2018_CC.pdf) | [requirements.txt](cornac/models/narre/requirements.txt) | [narre_example.py](examples/narre_example.py) diff --git a/cornac/datasets/amazon_toy.py b/cornac/datasets/amazon_toy.py index 69f98b3da..d42be7e3e 100644 --- a/cornac/datasets/amazon_toy.py +++ b/cornac/datasets/amazon_toy.py @@ -22,7 +22,7 @@ from typing import List -def load_feedback(reader: Reader = None) -> List: +def load_feedback(fmt="UIR", reader: Reader = None) -> List: """Load the user-item ratings, scale: [1,5] Parameters @@ -38,7 +38,7 @@ def load_feedback(reader: Reader = None) -> List: fpath = cache(url='https://static.preferred.ai/cornac/datasets/amazon_toy/rating.zip', unzip=True, relative_path='amazon_toy/rating.txt') reader = Reader() if reader is None else reader - return reader.read(fpath, fmt='UIR', sep=',') + return reader.read(fpath, fmt=fmt, sep=',') def load_sentiment(reader: Reader = None) -> List: """Load the user-item-sentiments diff --git a/cornac/models/__init__.py b/cornac/models/__init__.py index 85450cc0b..379c25086 100644 --- a/cornac/models/__init__.py +++ b/cornac/models/__init__.py @@ -23,6 +23,8 @@ from .cdl import CDL from .cdr import CDR from .coe import COE +from .comparer import ComparERObj +from .comparer import ComparERSub from .conv_mf import ConvMF from .ctr import CTR from .cvae import CVAE diff --git a/cornac/models/comparer/__init__.py b/cornac/models/comparer/__init__.py new file mode 100644 index 000000000..b489f02f1 --- /dev/null +++ b/cornac/models/comparer/__init__.py @@ -0,0 +1,17 @@ +# Copyright 2018 The Cornac Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================ + +from .recom_comparer_sub import ComparERSub +from .recom_comparer_obj import ComparERObj diff --git a/cornac/models/comparer/recom_comparer_obj.cpp b/cornac/models/comparer/recom_comparer_obj.cpp new file mode 100644 index 000000000..ae74868e6 --- /dev/null +++ b/cornac/models/comparer/recom_comparer_obj.cpp @@ -0,0 +1,66394 @@ +/* Generated by Cython 0.29.22 */ + +/* BEGIN: Cython Metadata +{ + "distutils": { + "depends": [ + "/home/hoangle/anaconda3/envs/pre/lib/python3.6/site-packages/numpy/core/include/numpy/arrayobject.h", + "/home/hoangle/anaconda3/envs/pre/lib/python3.6/site-packages/numpy/core/include/numpy/ufuncobject.h" + ], + "include_dirs": [ + "/home/hoangle/anaconda3/envs/pre/lib/python3.6/site-packages/numpy/core/include" + ], + "language": "c++", + "name": "cornac.models.comparer.recom_comparer_obj", + "sources": [ + "cornac/models/comparer/recom_comparer_obj.pyx" + ] + }, + "module_name": "cornac.models.comparer.recom_comparer_obj" +} +END: Cython Metadata */ + +#define PY_SSIZE_T_CLEAN +#include "Python.h" +#ifndef Py_PYTHON_H + #error Python headers needed to compile C extensions, please install development version of Python. +#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) + #error Cython requires Python 2.6+ or Python 3.3+. +#else +#define CYTHON_ABI "0_29_22" +#define CYTHON_HEX_VERSION 0x001D16F0 +#define CYTHON_FUTURE_DIVISION 1 +#include +#ifndef offsetof + #define offsetof(type, member) ( (size_t) & ((type*)0) -> member ) +#endif +#if !defined(WIN32) && !defined(MS_WINDOWS) + #ifndef __stdcall + #define __stdcall + #endif + #ifndef __cdecl + #define __cdecl + #endif + #ifndef __fastcall + #define __fastcall + #endif +#endif +#ifndef DL_IMPORT + #define DL_IMPORT(t) t +#endif +#ifndef DL_EXPORT + #define DL_EXPORT(t) t +#endif +#define __PYX_COMMA , +#ifndef HAVE_LONG_LONG + #if PY_VERSION_HEX >= 0x02070000 + #define HAVE_LONG_LONG + #endif +#endif +#ifndef PY_LONG_LONG + #define PY_LONG_LONG LONG_LONG +#endif +#ifndef Py_HUGE_VAL + #define Py_HUGE_VAL HUGE_VAL +#endif +#ifdef PYPY_VERSION + #define CYTHON_COMPILING_IN_PYPY 1 + #define CYTHON_COMPILING_IN_PYSTON 0 + #define CYTHON_COMPILING_IN_CPYTHON 0 + #undef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 0 + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #if PY_VERSION_HEX < 0x03050000 + #undef CYTHON_USE_ASYNC_SLOTS + #define CYTHON_USE_ASYNC_SLOTS 0 + #elif !defined(CYTHON_USE_ASYNC_SLOTS) + #define CYTHON_USE_ASYNC_SLOTS 1 + #endif + #undef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 0 + #undef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 0 + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #undef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 1 + #undef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 0 + #undef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 0 + #undef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 0 + #undef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 0 + #undef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT 0 + #undef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE 0 + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 0 +#elif defined(PYSTON_VERSION) + #define CYTHON_COMPILING_IN_PYPY 0 + #define CYTHON_COMPILING_IN_PYSTON 1 + #define CYTHON_COMPILING_IN_CPYTHON 0 + #ifndef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 1 + #endif + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #undef CYTHON_USE_ASYNC_SLOTS + #define CYTHON_USE_ASYNC_SLOTS 0 + #undef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 0 + #ifndef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 1 + #endif + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #ifndef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 0 + #endif + #ifndef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 1 + #endif + #ifndef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 1 + #endif + #undef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 0 + #undef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 0 + #undef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT 0 + #undef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE 0 + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 0 +#else + #define CYTHON_COMPILING_IN_PYPY 0 + #define CYTHON_COMPILING_IN_PYSTON 0 + #define CYTHON_COMPILING_IN_CPYTHON 1 + #ifndef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 1 + #endif + #if PY_VERSION_HEX < 0x02070000 + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #elif !defined(CYTHON_USE_PYTYPE_LOOKUP) + #define CYTHON_USE_PYTYPE_LOOKUP 1 + #endif + #if PY_MAJOR_VERSION < 3 + #undef CYTHON_USE_ASYNC_SLOTS + #define CYTHON_USE_ASYNC_SLOTS 0 + #elif !defined(CYTHON_USE_ASYNC_SLOTS) + #define CYTHON_USE_ASYNC_SLOTS 1 + #endif + #if PY_VERSION_HEX < 0x02070000 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #elif !defined(CYTHON_USE_PYLONG_INTERNALS) + #define CYTHON_USE_PYLONG_INTERNALS 1 + #endif + #ifndef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 1 + #endif + #ifndef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 1 + #endif + #if PY_VERSION_HEX < 0x030300F0 + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #elif !defined(CYTHON_USE_UNICODE_WRITER) + #define CYTHON_USE_UNICODE_WRITER 1 + #endif + #ifndef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 0 + #endif + #ifndef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 1 + #endif + #ifndef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 1 + #endif + #ifndef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 1 + #endif + #ifndef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 1 + #endif + #ifndef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000) + #endif + #ifndef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1) + #endif + #ifndef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1) + #endif + #ifndef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3) + #endif +#endif +#if !defined(CYTHON_FAST_PYCCALL) +#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1) +#endif +#if CYTHON_USE_PYLONG_INTERNALS + #include "longintrepr.h" + #undef SHIFT + #undef BASE + #undef MASK + #ifdef SIZEOF_VOID_P + enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) }; + #endif +#endif +#ifndef __has_attribute + #define __has_attribute(x) 0 +#endif +#ifndef __has_cpp_attribute + #define __has_cpp_attribute(x) 0 +#endif +#ifndef CYTHON_RESTRICT + #if defined(__GNUC__) + #define CYTHON_RESTRICT __restrict__ + #elif defined(_MSC_VER) && _MSC_VER >= 1400 + #define CYTHON_RESTRICT __restrict + #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define CYTHON_RESTRICT restrict + #else + #define CYTHON_RESTRICT + #endif +#endif +#ifndef CYTHON_UNUSED +# if defined(__GNUC__) +# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) +# define CYTHON_UNUSED __attribute__ ((__unused__)) +# else +# define CYTHON_UNUSED +# endif +# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) +# define CYTHON_UNUSED __attribute__ ((__unused__)) +# else +# define CYTHON_UNUSED +# endif +#endif +#ifndef CYTHON_MAYBE_UNUSED_VAR +# if defined(__cplusplus) + template void CYTHON_MAYBE_UNUSED_VAR( const T& ) { } +# else +# define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x) +# endif +#endif +#ifndef CYTHON_NCP_UNUSED +# if CYTHON_COMPILING_IN_CPYTHON +# define CYTHON_NCP_UNUSED +# else +# define CYTHON_NCP_UNUSED CYTHON_UNUSED +# endif +#endif +#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None) +#ifdef _MSC_VER + #ifndef _MSC_STDINT_H_ + #if _MSC_VER < 1300 + typedef unsigned char uint8_t; + typedef unsigned int uint32_t; + #else + typedef unsigned __int8 uint8_t; + typedef unsigned __int32 uint32_t; + #endif + #endif +#else + #include +#endif +#ifndef CYTHON_FALLTHROUGH + #if defined(__cplusplus) && __cplusplus >= 201103L + #if __has_cpp_attribute(fallthrough) + #define CYTHON_FALLTHROUGH [[fallthrough]] + #elif __has_cpp_attribute(clang::fallthrough) + #define CYTHON_FALLTHROUGH [[clang::fallthrough]] + #elif __has_cpp_attribute(gnu::fallthrough) + #define CYTHON_FALLTHROUGH [[gnu::fallthrough]] + #endif + #endif + #ifndef CYTHON_FALLTHROUGH + #if __has_attribute(fallthrough) + #define CYTHON_FALLTHROUGH __attribute__((fallthrough)) + #else + #define CYTHON_FALLTHROUGH + #endif + #endif + #if defined(__clang__ ) && defined(__apple_build_version__) + #if __apple_build_version__ < 7000000 + #undef CYTHON_FALLTHROUGH + #define CYTHON_FALLTHROUGH + #endif + #endif +#endif + +#ifndef __cplusplus + #error "Cython files generated with the C++ option must be compiled with a C++ compiler." +#endif +#ifndef CYTHON_INLINE + #if defined(__clang__) + #define CYTHON_INLINE __inline__ __attribute__ ((__unused__)) + #else + #define CYTHON_INLINE inline + #endif +#endif +template +void __Pyx_call_destructor(T& x) { + x.~T(); +} +template +class __Pyx_FakeReference { + public: + __Pyx_FakeReference() : ptr(NULL) { } + __Pyx_FakeReference(const T& ref) : ptr(const_cast(&ref)) { } + T *operator->() { return ptr; } + T *operator&() { return ptr; } + operator T&() { return *ptr; } + template bool operator ==(U other) { return *ptr == other; } + template bool operator !=(U other) { return *ptr != other; } + private: + T *ptr; +}; + +#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag) + #define Py_OptimizeFlag 0 +#endif +#define __PYX_BUILD_PY_SSIZE_T "n" +#define CYTHON_FORMAT_SSIZE_T "z" +#if PY_MAJOR_VERSION < 3 + #define __Pyx_BUILTIN_MODULE_NAME "__builtin__" + #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) + #define __Pyx_DefaultClassType PyClass_Type +#else + #define __Pyx_BUILTIN_MODULE_NAME "builtins" +#if PY_VERSION_HEX >= 0x030800A4 && PY_VERSION_HEX < 0x030800B2 + #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a, 0, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) +#else + #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) +#endif + #define __Pyx_DefaultClassType PyType_Type +#endif +#ifndef Py_TPFLAGS_CHECKTYPES + #define Py_TPFLAGS_CHECKTYPES 0 +#endif +#ifndef Py_TPFLAGS_HAVE_INDEX + #define Py_TPFLAGS_HAVE_INDEX 0 +#endif +#ifndef Py_TPFLAGS_HAVE_NEWBUFFER + #define Py_TPFLAGS_HAVE_NEWBUFFER 0 +#endif +#ifndef Py_TPFLAGS_HAVE_FINALIZE + #define Py_TPFLAGS_HAVE_FINALIZE 0 +#endif +#ifndef METH_STACKLESS + #define METH_STACKLESS 0 +#endif +#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL) + #ifndef METH_FASTCALL + #define METH_FASTCALL 0x80 + #endif + typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs); + typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args, + Py_ssize_t nargs, PyObject *kwnames); +#else + #define __Pyx_PyCFunctionFast _PyCFunctionFast + #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords +#endif +#if CYTHON_FAST_PYCCALL +#define __Pyx_PyFastCFunction_Check(func)\ + ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))))) +#else +#define __Pyx_PyFastCFunction_Check(func) 0 +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc) + #define PyObject_Malloc(s) PyMem_Malloc(s) + #define PyObject_Free(p) PyMem_Free(p) + #define PyObject_Realloc(p) PyMem_Realloc(p) +#endif +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1 + #define PyMem_RawMalloc(n) PyMem_Malloc(n) + #define PyMem_RawRealloc(p, n) PyMem_Realloc(p, n) + #define PyMem_RawFree(p) PyMem_Free(p) +#endif +#if CYTHON_COMPILING_IN_PYSTON + #define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co) + #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno) +#else + #define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0) + #define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno) +#endif +#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000 + #define __Pyx_PyThreadState_Current PyThreadState_GET() +#elif PY_VERSION_HEX >= 0x03060000 + #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet() +#elif PY_VERSION_HEX >= 0x03000000 + #define __Pyx_PyThreadState_Current PyThreadState_GET() +#else + #define __Pyx_PyThreadState_Current _PyThreadState_Current +#endif +#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT) +#include "pythread.h" +#define Py_tss_NEEDS_INIT 0 +typedef int Py_tss_t; +static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { + *key = PyThread_create_key(); + return 0; +} +static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { + Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); + *key = Py_tss_NEEDS_INIT; + return key; +} +static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) { + PyObject_Free(key); +} +static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) { + return *key != Py_tss_NEEDS_INIT; +} +static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) { + PyThread_delete_key(*key); + *key = Py_tss_NEEDS_INIT; +} +static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { + return PyThread_set_key_value(*key, value); +} +static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { + return PyThread_get_key_value(*key); +} +#endif +#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) +#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) +#else +#define __Pyx_PyDict_NewPresized(n) PyDict_New() +#endif +#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION + #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y) + #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y) +#else + #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y) + #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y) +#endif +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS +#define __Pyx_PyDict_GetItemStr(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash) +#else +#define __Pyx_PyDict_GetItemStr(dict, name) PyDict_GetItem(dict, name) +#endif +#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND) + #define CYTHON_PEP393_ENABLED 1 + #define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\ + 0 : _PyUnicode_Ready((PyObject *)(op))) + #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u) + #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i) + #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u) + #define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u) + #define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u) + #define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i) + #define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch) + #if defined(PyUnicode_IS_READY) && defined(PyUnicode_GET_SIZE) + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u))) + #else + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_LENGTH(u)) + #endif +#else + #define CYTHON_PEP393_ENABLED 0 + #define PyUnicode_1BYTE_KIND 1 + #define PyUnicode_2BYTE_KIND 2 + #define PyUnicode_4BYTE_KIND 4 + #define __Pyx_PyUnicode_READY(op) (0) + #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u) + #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i])) + #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111) + #define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE)) + #define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u)) + #define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i])) + #define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch) + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u)) +#endif +#if CYTHON_COMPILING_IN_PYPY + #define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b) + #define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b) +#else + #define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b) + #define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\ + PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b)) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains) + #define PyUnicode_Contains(u, s) PySequence_Contains(u, s) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check) + #define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format) + #define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt) +#endif +#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b)) +#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b)) +#if PY_MAJOR_VERSION >= 3 + #define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b) +#else + #define __Pyx_PyString_Format(a, b) PyString_Format(a, b) +#endif +#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII) + #define PyObject_ASCII(o) PyObject_Repr(o) +#endif +#if PY_MAJOR_VERSION >= 3 + #define PyBaseString_Type PyUnicode_Type + #define PyStringObject PyUnicodeObject + #define PyString_Type PyUnicode_Type + #define PyString_Check PyUnicode_Check + #define PyString_CheckExact PyUnicode_CheckExact +#ifndef PyObject_Unicode + #define PyObject_Unicode PyObject_Str +#endif +#endif +#if PY_MAJOR_VERSION >= 3 + #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj) + #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj) +#else + #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj)) + #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj)) +#endif +#ifndef PySet_CheckExact + #define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type) +#endif +#if PY_VERSION_HEX >= 0x030900A4 + #define __Pyx_SET_REFCNT(obj, refcnt) Py_SET_REFCNT(obj, refcnt) + #define __Pyx_SET_SIZE(obj, size) Py_SET_SIZE(obj, size) +#else + #define __Pyx_SET_REFCNT(obj, refcnt) Py_REFCNT(obj) = (refcnt) + #define __Pyx_SET_SIZE(obj, size) Py_SIZE(obj) = (size) +#endif +#if CYTHON_ASSUME_SAFE_MACROS + #define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq) +#else + #define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq) +#endif +#if PY_MAJOR_VERSION >= 3 + #define PyIntObject PyLongObject + #define PyInt_Type PyLong_Type + #define PyInt_Check(op) PyLong_Check(op) + #define PyInt_CheckExact(op) PyLong_CheckExact(op) + #define PyInt_FromString PyLong_FromString + #define PyInt_FromUnicode PyLong_FromUnicode + #define PyInt_FromLong PyLong_FromLong + #define PyInt_FromSize_t PyLong_FromSize_t + #define PyInt_FromSsize_t PyLong_FromSsize_t + #define PyInt_AsLong PyLong_AsLong + #define PyInt_AS_LONG PyLong_AS_LONG + #define PyInt_AsSsize_t PyLong_AsSsize_t + #define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask + #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask + #define PyNumber_Int PyNumber_Long +#endif +#if PY_MAJOR_VERSION >= 3 + #define PyBoolObject PyLongObject +#endif +#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY + #ifndef PyUnicode_InternFromString + #define PyUnicode_InternFromString(s) PyUnicode_FromString(s) + #endif +#endif +#if PY_VERSION_HEX < 0x030200A4 + typedef long Py_hash_t; + #define __Pyx_PyInt_FromHash_t PyInt_FromLong + #define __Pyx_PyInt_AsHash_t PyInt_AsLong +#else + #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t + #define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t +#endif +#if PY_MAJOR_VERSION >= 3 + #define __Pyx_PyMethod_New(func, self, klass) ((self) ? ((void)(klass), PyMethod_New(func, self)) : __Pyx_NewRef(func)) +#else + #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass) +#endif +#if CYTHON_USE_ASYNC_SLOTS + #if PY_VERSION_HEX >= 0x030500B1 + #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods + #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async) + #else + #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved)) + #endif +#else + #define __Pyx_PyType_AsAsync(obj) NULL +#endif +#ifndef __Pyx_PyAsyncMethodsStruct + typedef struct { + unaryfunc am_await; + unaryfunc am_aiter; + unaryfunc am_anext; + } __Pyx_PyAsyncMethodsStruct; +#endif + +#if defined(WIN32) || defined(MS_WINDOWS) + #define _USE_MATH_DEFINES +#endif +#include +#ifdef NAN +#define __PYX_NAN() ((float) NAN) +#else +static CYTHON_INLINE float __PYX_NAN() { + float value; + memset(&value, 0xFF, sizeof(value)); + return value; +} +#endif +#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL) +#define __Pyx_truncl trunc +#else +#define __Pyx_truncl truncl +#endif + +#define __PYX_MARK_ERR_POS(f_index, lineno) \ + { __pyx_filename = __pyx_f[f_index]; (void)__pyx_filename; __pyx_lineno = lineno; (void)__pyx_lineno; __pyx_clineno = __LINE__; (void)__pyx_clineno; } +#define __PYX_ERR(f_index, lineno, Ln_error) \ + { __PYX_MARK_ERR_POS(f_index, lineno) goto Ln_error; } + +#ifndef __PYX_EXTERN_C + #ifdef __cplusplus + #define __PYX_EXTERN_C extern "C" + #else + #define __PYX_EXTERN_C extern + #endif +#endif + +#define __PYX_HAVE__cornac__models__comparer__recom_comparer_obj +#define __PYX_HAVE_API__cornac__models__comparer__recom_comparer_obj +/* Early includes */ +#include +#include +#include +#include "numpy/arrayobject.h" +#include "numpy/ufuncobject.h" +#include "pythread.h" +#include +#include "pystate.h" +#ifdef _OPENMP +#include +#endif /* _OPENMP */ + +#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS) +#define CYTHON_WITHOUT_ASSERTIONS +#endif + +typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding; + const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; + +#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 +#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0 +#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8) +#define __PYX_DEFAULT_STRING_ENCODING "" +#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString +#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize +#define __Pyx_uchar_cast(c) ((unsigned char)c) +#define __Pyx_long_cast(x) ((long)x) +#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\ + (sizeof(type) < sizeof(Py_ssize_t)) ||\ + (sizeof(type) > sizeof(Py_ssize_t) &&\ + likely(v < (type)PY_SSIZE_T_MAX ||\ + v == (type)PY_SSIZE_T_MAX) &&\ + (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\ + v == (type)PY_SSIZE_T_MIN))) ||\ + (sizeof(type) == sizeof(Py_ssize_t) &&\ + (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\ + v == (type)PY_SSIZE_T_MAX))) ) +static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) { + return (size_t) i < (size_t) limit; +} +#if defined (__cplusplus) && __cplusplus >= 201103L + #include + #define __Pyx_sst_abs(value) std::abs(value) +#elif SIZEOF_INT >= SIZEOF_SIZE_T + #define __Pyx_sst_abs(value) abs(value) +#elif SIZEOF_LONG >= SIZEOF_SIZE_T + #define __Pyx_sst_abs(value) labs(value) +#elif defined (_MSC_VER) + #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value)) +#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define __Pyx_sst_abs(value) llabs(value) +#elif defined (__GNUC__) + #define __Pyx_sst_abs(value) __builtin_llabs(value) +#else + #define __Pyx_sst_abs(value) ((value<0) ? -value : value) +#endif +static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*); +static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); +#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s)) +#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l) +#define __Pyx_PyBytes_FromString PyBytes_FromString +#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*); +#if PY_MAJOR_VERSION < 3 + #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString + #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize +#else + #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString + #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize +#endif +#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s) +#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s) +#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s) +#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s) +#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s) +static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { + const Py_UNICODE *u_end = u; + while (*u_end++) ; + return (size_t)(u_end - u - 1); +} +#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) +#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode +#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode +#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj) +#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None) +static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b); +static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); +static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*); +static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x); +#define __Pyx_PySequence_Tuple(obj)\ + (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj)) +static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); +static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); +#if CYTHON_ASSUME_SAFE_MACROS +#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) +#else +#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) +#endif +#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) +#if PY_MAJOR_VERSION >= 3 +#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x)) +#else +#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x)) +#endif +#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x)) +#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII +static int __Pyx_sys_getdefaultencoding_not_ascii; +static int __Pyx_init_sys_getdefaultencoding_params(void) { + PyObject* sys; + PyObject* default_encoding = NULL; + PyObject* ascii_chars_u = NULL; + PyObject* ascii_chars_b = NULL; + const char* default_encoding_c; + sys = PyImport_ImportModule("sys"); + if (!sys) goto bad; + default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL); + Py_DECREF(sys); + if (!default_encoding) goto bad; + default_encoding_c = PyBytes_AsString(default_encoding); + if (!default_encoding_c) goto bad; + if (strcmp(default_encoding_c, "ascii") == 0) { + __Pyx_sys_getdefaultencoding_not_ascii = 0; + } else { + char ascii_chars[128]; + int c; + for (c = 0; c < 128; c++) { + ascii_chars[c] = c; + } + __Pyx_sys_getdefaultencoding_not_ascii = 1; + ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); + if (!ascii_chars_u) goto bad; + ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); + if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { + PyErr_Format( + PyExc_ValueError, + "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.", + default_encoding_c); + goto bad; + } + Py_DECREF(ascii_chars_u); + Py_DECREF(ascii_chars_b); + } + Py_DECREF(default_encoding); + return 0; +bad: + Py_XDECREF(default_encoding); + Py_XDECREF(ascii_chars_u); + Py_XDECREF(ascii_chars_b); + return -1; +} +#endif +#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 +#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) +#else +#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) +#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT +static char* __PYX_DEFAULT_STRING_ENCODING; +static int __Pyx_init_sys_getdefaultencoding_params(void) { + PyObject* sys; + PyObject* default_encoding = NULL; + char* default_encoding_c; + sys = PyImport_ImportModule("sys"); + if (!sys) goto bad; + default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); + Py_DECREF(sys); + if (!default_encoding) goto bad; + default_encoding_c = PyBytes_AsString(default_encoding); + if (!default_encoding_c) goto bad; + __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1); + if (!__PYX_DEFAULT_STRING_ENCODING) goto bad; + strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); + Py_DECREF(default_encoding); + return 0; +bad: + Py_XDECREF(default_encoding); + return -1; +} +#endif +#endif + + +/* Test for GCC > 2.95 */ +#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))) + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) +#else /* !__GNUC__ or GCC < 2.95 */ + #define likely(x) (x) + #define unlikely(x) (x) +#endif /* __GNUC__ */ +static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; } + +static PyObject *__pyx_m = NULL; +static PyObject *__pyx_d; +static PyObject *__pyx_b; +static PyObject *__pyx_cython_runtime = NULL; +static PyObject *__pyx_empty_tuple; +static PyObject *__pyx_empty_bytes; +static PyObject *__pyx_empty_unicode; +static int __pyx_lineno; +static int __pyx_clineno = 0; +static const char * __pyx_cfilenm= __FILE__; +static const char *__pyx_filename; + +/* Header.proto */ +#if !defined(CYTHON_CCOMPLEX) + #if defined(__cplusplus) + #define CYTHON_CCOMPLEX 1 + #elif defined(_Complex_I) + #define CYTHON_CCOMPLEX 1 + #else + #define CYTHON_CCOMPLEX 0 + #endif +#endif +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + #include + #else + #include + #endif +#endif +#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__) + #undef _Complex_I + #define _Complex_I 1.0fj +#endif + + +static const char *__pyx_f[] = { + "cornac/models/comparer/recom_comparer_obj.pyx", + "__init__.pxd", + "stringsource", + "type.pxd", +}; +/* BufferFormatStructs.proto */ +#define IS_UNSIGNED(type) (((type) -1) > 0) +struct __Pyx_StructField_; +#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0) +typedef struct { + const char* name; + struct __Pyx_StructField_* fields; + size_t size; + size_t arraysize[8]; + int ndim; + char typegroup; + char is_unsigned; + int flags; +} __Pyx_TypeInfo; +typedef struct __Pyx_StructField_ { + __Pyx_TypeInfo* type; + const char* name; + size_t offset; +} __Pyx_StructField; +typedef struct { + __Pyx_StructField* field; + size_t parent_offset; +} __Pyx_BufFmt_StackElem; +typedef struct { + __Pyx_StructField root; + __Pyx_BufFmt_StackElem* head; + size_t fmt_offset; + size_t new_count, enc_count; + size_t struct_alignment; + int is_complex; + char enc_type; + char new_packmode; + char enc_packmode; + char is_valid_array; +} __Pyx_BufFmt_Context; + +/* NoFastGil.proto */ +#define __Pyx_PyGILState_Ensure PyGILState_Ensure +#define __Pyx_PyGILState_Release PyGILState_Release +#define __Pyx_FastGIL_Remember() +#define __Pyx_FastGIL_Forget() +#define __Pyx_FastGilFuncInit() + +/* ForceInitThreads.proto */ +#ifndef __PYX_FORCE_INIT_THREADS + #define __PYX_FORCE_INIT_THREADS 0 +#endif + +/* MemviewSliceStruct.proto */ +struct __pyx_memoryview_obj; +typedef struct { + struct __pyx_memoryview_obj *memview; + char *data; + Py_ssize_t shape[8]; + Py_ssize_t strides[8]; + Py_ssize_t suboffsets[8]; +} __Pyx_memviewslice; +#define __Pyx_MemoryView_Len(m) (m.shape[0]) + +/* Atomics.proto */ +#include +#ifndef CYTHON_ATOMICS + #define CYTHON_ATOMICS 1 +#endif +#define __pyx_atomic_int_type int +#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\ + (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\ + !defined(__i386__) + #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1) + #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1) + #ifdef __PYX_DEBUG_ATOMICS + #warning "Using GNU atomics" + #endif +#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0 + #include + #undef __pyx_atomic_int_type + #define __pyx_atomic_int_type LONG + #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value) + #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value) + #ifdef __PYX_DEBUG_ATOMICS + #pragma message ("Using MSVC atomics") + #endif +#elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0 + #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value) + #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value) + #ifdef __PYX_DEBUG_ATOMICS + #warning "Using Intel atomics" + #endif +#else + #undef CYTHON_ATOMICS + #define CYTHON_ATOMICS 0 + #ifdef __PYX_DEBUG_ATOMICS + #warning "Not using atomics" + #endif +#endif +typedef volatile __pyx_atomic_int_type __pyx_atomic_int; +#if CYTHON_ATOMICS + #define __pyx_add_acquisition_count(memview)\ + __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) + #define __pyx_sub_acquisition_count(memview)\ + __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) +#else + #define __pyx_add_acquisition_count(memview)\ + __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) + #define __pyx_sub_acquisition_count(memview)\ + __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) +#endif + + +/* "scipy/linalg/cython_blas.pxd":15 + * # The original libraries should be linked directly. + * + * ctypedef float s # <<<<<<<<<<<<<< + * ctypedef double d + * ctypedef float complex c + */ +typedef float __pyx_t_5scipy_6linalg_11cython_blas_s; + +/* "scipy/linalg/cython_blas.pxd":16 + * + * ctypedef float s + * ctypedef double d # <<<<<<<<<<<<<< + * ctypedef float complex c + * ctypedef double complex z + */ +typedef double __pyx_t_5scipy_6linalg_11cython_blas_d; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":775 + * # in Cython to enable them only on the right systems. + * + * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< + * ctypedef npy_int16 int16_t + * ctypedef npy_int32 int32_t + */ +typedef npy_int8 __pyx_t_5numpy_int8_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":776 + * + * ctypedef npy_int8 int8_t + * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< + * ctypedef npy_int32 int32_t + * ctypedef npy_int64 int64_t + */ +typedef npy_int16 __pyx_t_5numpy_int16_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":777 + * ctypedef npy_int8 int8_t + * ctypedef npy_int16 int16_t + * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< + * ctypedef npy_int64 int64_t + * #ctypedef npy_int96 int96_t + */ +typedef npy_int32 __pyx_t_5numpy_int32_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":778 + * ctypedef npy_int16 int16_t + * ctypedef npy_int32 int32_t + * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< + * #ctypedef npy_int96 int96_t + * #ctypedef npy_int128 int128_t + */ +typedef npy_int64 __pyx_t_5numpy_int64_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":782 + * #ctypedef npy_int128 int128_t + * + * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< + * ctypedef npy_uint16 uint16_t + * ctypedef npy_uint32 uint32_t + */ +typedef npy_uint8 __pyx_t_5numpy_uint8_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":783 + * + * ctypedef npy_uint8 uint8_t + * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< + * ctypedef npy_uint32 uint32_t + * ctypedef npy_uint64 uint64_t + */ +typedef npy_uint16 __pyx_t_5numpy_uint16_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":784 + * ctypedef npy_uint8 uint8_t + * ctypedef npy_uint16 uint16_t + * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< + * ctypedef npy_uint64 uint64_t + * #ctypedef npy_uint96 uint96_t + */ +typedef npy_uint32 __pyx_t_5numpy_uint32_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":785 + * ctypedef npy_uint16 uint16_t + * ctypedef npy_uint32 uint32_t + * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< + * #ctypedef npy_uint96 uint96_t + * #ctypedef npy_uint128 uint128_t + */ +typedef npy_uint64 __pyx_t_5numpy_uint64_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":789 + * #ctypedef npy_uint128 uint128_t + * + * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< + * ctypedef npy_float64 float64_t + * #ctypedef npy_float80 float80_t + */ +typedef npy_float32 __pyx_t_5numpy_float32_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":790 + * + * ctypedef npy_float32 float32_t + * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< + * #ctypedef npy_float80 float80_t + * #ctypedef npy_float128 float128_t + */ +typedef npy_float64 __pyx_t_5numpy_float64_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":799 + * # The int types are mapped a bit surprising -- + * # numpy.int corresponds to 'l' and numpy.long to 'q' + * ctypedef npy_long int_t # <<<<<<<<<<<<<< + * ctypedef npy_longlong long_t + * ctypedef npy_longlong longlong_t + */ +typedef npy_long __pyx_t_5numpy_int_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":800 + * # numpy.int corresponds to 'l' and numpy.long to 'q' + * ctypedef npy_long int_t + * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< + * ctypedef npy_longlong longlong_t + * + */ +typedef npy_longlong __pyx_t_5numpy_long_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":801 + * ctypedef npy_long int_t + * ctypedef npy_longlong long_t + * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< + * + * ctypedef npy_ulong uint_t + */ +typedef npy_longlong __pyx_t_5numpy_longlong_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":803 + * ctypedef npy_longlong longlong_t + * + * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< + * ctypedef npy_ulonglong ulong_t + * ctypedef npy_ulonglong ulonglong_t + */ +typedef npy_ulong __pyx_t_5numpy_uint_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":804 + * + * ctypedef npy_ulong uint_t + * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< + * ctypedef npy_ulonglong ulonglong_t + * + */ +typedef npy_ulonglong __pyx_t_5numpy_ulong_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":805 + * ctypedef npy_ulong uint_t + * ctypedef npy_ulonglong ulong_t + * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< + * + * ctypedef npy_intp intp_t + */ +typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":807 + * ctypedef npy_ulonglong ulonglong_t + * + * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< + * ctypedef npy_uintp uintp_t + * + */ +typedef npy_intp __pyx_t_5numpy_intp_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":808 + * + * ctypedef npy_intp intp_t + * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< + * + * ctypedef npy_double float_t + */ +typedef npy_uintp __pyx_t_5numpy_uintp_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":810 + * ctypedef npy_uintp uintp_t + * + * ctypedef npy_double float_t # <<<<<<<<<<<<<< + * ctypedef npy_double double_t + * ctypedef npy_longdouble longdouble_t + */ +typedef npy_double __pyx_t_5numpy_float_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":811 + * + * ctypedef npy_double float_t + * ctypedef npy_double double_t # <<<<<<<<<<<<<< + * ctypedef npy_longdouble longdouble_t + * + */ +typedef npy_double __pyx_t_5numpy_double_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":812 + * ctypedef npy_double float_t + * ctypedef npy_double double_t + * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< + * + * ctypedef npy_cfloat cfloat_t + */ +typedef npy_longdouble __pyx_t_5numpy_longdouble_t; +/* Declarations.proto */ +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + typedef ::std::complex< float > __pyx_t_float_complex; + #else + typedef float _Complex __pyx_t_float_complex; + #endif +#else + typedef struct { float real, imag; } __pyx_t_float_complex; +#endif +static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float); + +/* Declarations.proto */ +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + typedef ::std::complex< double > __pyx_t_double_complex; + #else + typedef double _Complex __pyx_t_double_complex; + #endif +#else + typedef struct { double real, imag; } __pyx_t_double_complex; +#endif +static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double); + + +/*--- Type declarations ---*/ +struct __pyx_array_obj; +struct __pyx_MemviewEnum_obj; +struct __pyx_memoryview_obj; +struct __pyx_memoryviewslice_obj; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":814 + * ctypedef npy_longdouble longdouble_t + * + * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< + * ctypedef npy_cdouble cdouble_t + * ctypedef npy_clongdouble clongdouble_t + */ +typedef npy_cfloat __pyx_t_5numpy_cfloat_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":815 + * + * ctypedef npy_cfloat cfloat_t + * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< + * ctypedef npy_clongdouble clongdouble_t + * + */ +typedef npy_cdouble __pyx_t_5numpy_cdouble_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":816 + * ctypedef npy_cfloat cfloat_t + * ctypedef npy_cdouble cdouble_t + * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< + * + * ctypedef npy_cdouble complex_t + */ +typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":818 + * ctypedef npy_clongdouble clongdouble_t + * + * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< + * + * cdef inline object PyArray_MultiIterNew1(a): + */ +typedef npy_cdouble __pyx_t_5numpy_complex_t; + +/* "View.MemoryView":105 + * + * @cname("__pyx_array") + * cdef class array: # <<<<<<<<<<<<<< + * + * cdef: + */ +struct __pyx_array_obj { + PyObject_HEAD + struct __pyx_vtabstruct_array *__pyx_vtab; + char *data; + Py_ssize_t len; + char *format; + int ndim; + Py_ssize_t *_shape; + Py_ssize_t *_strides; + Py_ssize_t itemsize; + PyObject *mode; + PyObject *_format; + void (*callback_free_data)(void *); + int free_data; + int dtype_is_object; +}; + + +/* "View.MemoryView":279 + * + * @cname('__pyx_MemviewEnum') + * cdef class Enum(object): # <<<<<<<<<<<<<< + * cdef object name + * def __init__(self, name): + */ +struct __pyx_MemviewEnum_obj { + PyObject_HEAD + PyObject *name; +}; + + +/* "View.MemoryView":330 + * + * @cname('__pyx_memoryview') + * cdef class memoryview(object): # <<<<<<<<<<<<<< + * + * cdef object obj + */ +struct __pyx_memoryview_obj { + PyObject_HEAD + struct __pyx_vtabstruct_memoryview *__pyx_vtab; + PyObject *obj; + PyObject *_size; + PyObject *_array_interface; + PyThread_type_lock lock; + __pyx_atomic_int acquisition_count[2]; + __pyx_atomic_int *acquisition_count_aligned_p; + Py_buffer view; + int flags; + int dtype_is_object; + __Pyx_TypeInfo *typeinfo; +}; + + +/* "View.MemoryView":965 + * + * @cname('__pyx_memoryviewslice') + * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< + * "Internal class for passing memoryview slices to Python" + * + */ +struct __pyx_memoryviewslice_obj { + struct __pyx_memoryview_obj __pyx_base; + __Pyx_memviewslice from_slice; + PyObject *from_object; + PyObject *(*to_object_func)(char *); + int (*to_dtype_func)(char *, PyObject *); +}; + + + +/* "View.MemoryView":105 + * + * @cname("__pyx_array") + * cdef class array: # <<<<<<<<<<<<<< + * + * cdef: + */ + +struct __pyx_vtabstruct_array { + PyObject *(*get_memview)(struct __pyx_array_obj *); +}; +static struct __pyx_vtabstruct_array *__pyx_vtabptr_array; + + +/* "View.MemoryView":330 + * + * @cname('__pyx_memoryview') + * cdef class memoryview(object): # <<<<<<<<<<<<<< + * + * cdef object obj + */ + +struct __pyx_vtabstruct_memoryview { + char *(*get_item_pointer)(struct __pyx_memoryview_obj *, PyObject *); + PyObject *(*is_slice)(struct __pyx_memoryview_obj *, PyObject *); + PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *); + PyObject *(*setitem_slice_assign_scalar)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *); + PyObject *(*setitem_indexed)(struct __pyx_memoryview_obj *, PyObject *, PyObject *); + PyObject *(*convert_item_to_object)(struct __pyx_memoryview_obj *, char *); + PyObject *(*assign_item_from_object)(struct __pyx_memoryview_obj *, char *, PyObject *); +}; +static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview; + + +/* "View.MemoryView":965 + * + * @cname('__pyx_memoryviewslice') + * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< + * "Internal class for passing memoryview slices to Python" + * + */ + +struct __pyx_vtabstruct__memoryviewslice { + struct __pyx_vtabstruct_memoryview __pyx_base; +}; +static struct __pyx_vtabstruct__memoryviewslice *__pyx_vtabptr__memoryviewslice; + +/* --- Runtime support code (head) --- */ +/* Refnanny.proto */ +#ifndef CYTHON_REFNANNY + #define CYTHON_REFNANNY 0 +#endif +#if CYTHON_REFNANNY + typedef struct { + void (*INCREF)(void*, PyObject*, int); + void (*DECREF)(void*, PyObject*, int); + void (*GOTREF)(void*, PyObject*, int); + void (*GIVEREF)(void*, PyObject*, int); + void* (*SetupContext)(const char*, int, const char*); + void (*FinishContext)(void**); + } __Pyx_RefNannyAPIStruct; + static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL; + static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname); + #define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL; +#ifdef WITH_THREAD + #define __Pyx_RefNannySetupContext(name, acquire_gil)\ + if (acquire_gil) {\ + PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure();\ + __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__);\ + PyGILState_Release(__pyx_gilstate_save);\ + } else {\ + __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__);\ + } +#else + #define __Pyx_RefNannySetupContext(name, acquire_gil)\ + __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__) +#endif + #define __Pyx_RefNannyFinishContext()\ + __Pyx_RefNanny->FinishContext(&__pyx_refnanny) + #define __Pyx_INCREF(r) __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__) + #define __Pyx_DECREF(r) __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__) + #define __Pyx_GOTREF(r) __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__) + #define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__) + #define __Pyx_XINCREF(r) do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0) + #define __Pyx_XDECREF(r) do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0) + #define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0) + #define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0) +#else + #define __Pyx_RefNannyDeclarations + #define __Pyx_RefNannySetupContext(name, acquire_gil) + #define __Pyx_RefNannyFinishContext() + #define __Pyx_INCREF(r) Py_INCREF(r) + #define __Pyx_DECREF(r) Py_DECREF(r) + #define __Pyx_GOTREF(r) + #define __Pyx_GIVEREF(r) + #define __Pyx_XINCREF(r) Py_XINCREF(r) + #define __Pyx_XDECREF(r) Py_XDECREF(r) + #define __Pyx_XGOTREF(r) + #define __Pyx_XGIVEREF(r) +#endif +#define __Pyx_XDECREF_SET(r, v) do {\ + PyObject *tmp = (PyObject *) r;\ + r = v; __Pyx_XDECREF(tmp);\ + } while (0) +#define __Pyx_DECREF_SET(r, v) do {\ + PyObject *tmp = (PyObject *) r;\ + r = v; __Pyx_DECREF(tmp);\ + } while (0) +#define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0) +#define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0) + +/* PyObjectGetAttrStr.proto */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name); +#else +#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n) +#endif + +/* GetBuiltinName.proto */ +static PyObject *__Pyx_GetBuiltinName(PyObject *name); + +/* RaiseDoubleKeywords.proto */ +static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name); + +/* ParseKeywords.proto */ +static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\ + PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\ + const char* function_name); + +/* RaiseArgTupleInvalid.proto */ +static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact, + Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); + +/* PyDictVersioning.proto */ +#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS +#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1) +#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag) +#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\ + (version_var) = __PYX_GET_DICT_VERSION(dict);\ + (cache_var) = (value); +#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\ + static PY_UINT64_T __pyx_dict_version = 0;\ + static PyObject *__pyx_dict_cached_value = NULL;\ + if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\ + (VAR) = __pyx_dict_cached_value;\ + } else {\ + (VAR) = __pyx_dict_cached_value = (LOOKUP);\ + __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\ + }\ +} +static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj); +static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj); +static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version); +#else +#define __PYX_GET_DICT_VERSION(dict) (0) +#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var) +#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP); +#endif + +/* GetModuleGlobalName.proto */ +#if CYTHON_USE_DICT_VERSIONS +#define __Pyx_GetModuleGlobalName(var, name) {\ + static PY_UINT64_T __pyx_dict_version = 0;\ + static PyObject *__pyx_dict_cached_value = NULL;\ + (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\ + (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\ + __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ +} +#define __Pyx_GetModuleGlobalNameUncached(var, name) {\ + PY_UINT64_T __pyx_dict_version;\ + PyObject *__pyx_dict_cached_value;\ + (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ +} +static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value); +#else +#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) +#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name) +static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name); +#endif + +/* PyObjectCall.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw); +#else +#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw) +#endif + +/* PyCFunctionFastCall.proto */ +#if CYTHON_FAST_PYCCALL +static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs); +#else +#define __Pyx_PyCFunction_FastCall(func, args, nargs) (assert(0), NULL) +#endif + +/* PyFunctionFastCall.proto */ +#if CYTHON_FAST_PYCALL +#define __Pyx_PyFunction_FastCall(func, args, nargs)\ + __Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL) +#if 1 || PY_VERSION_HEX < 0x030600B1 +static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs); +#else +#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs) +#endif +#define __Pyx_BUILD_ASSERT_EXPR(cond)\ + (sizeof(char [1 - 2*!(cond)]) - 1) +#ifndef Py_MEMBER_SIZE +#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member) +#endif + static size_t __pyx_pyframe_localsplus_offset = 0; + #include "frameobject.h" + #define __Pxy_PyFrame_Initialize_Offsets()\ + ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\ + (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus))) + #define __Pyx_PyFrame_GetLocalsplus(frame)\ + (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset)) +#endif + +/* PyObjectCall2Args.proto */ +static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2); + +/* PyObjectCallMethO.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); +#endif + +/* PyObjectCallOneArg.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg); + +/* PyObjectSetAttrStr.proto */ +#if CYTHON_USE_TYPE_SLOTS +#define __Pyx_PyObject_DelAttrStr(o,n) __Pyx_PyObject_SetAttrStr(o, n, NULL) +static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value); +#else +#define __Pyx_PyObject_DelAttrStr(o,n) PyObject_DelAttr(o,n) +#define __Pyx_PyObject_SetAttrStr(o,n,v) PyObject_SetAttr(o,n,v) +#endif + +/* Import.proto */ +static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); + +/* PyObjectCallNoArg.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func); +#else +#define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL) +#endif + +/* PySequenceContains.proto */ +static CYTHON_INLINE int __Pyx_PySequence_ContainsTF(PyObject* item, PyObject* seq, int eq) { + int result = PySequence_Contains(seq, item); + return unlikely(result < 0) ? result : (result == (eq == Py_EQ)); +} + +/* PyThreadStateGet.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate; +#define __Pyx_PyThreadState_assign __pyx_tstate = __Pyx_PyThreadState_Current; +#define __Pyx_PyErr_Occurred() __pyx_tstate->curexc_type +#else +#define __Pyx_PyThreadState_declare +#define __Pyx_PyThreadState_assign +#define __Pyx_PyErr_Occurred() PyErr_Occurred() +#endif + +/* PyErrFetchRestore.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL) +#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb) +#define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb) +#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb) +#define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); +static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#if CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL)) +#else +#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc) +#endif +#else +#define __Pyx_PyErr_Clear() PyErr_Clear() +#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc) +#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb) +#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetchInState(tstate, type, value, tb) PyErr_Fetch(type, value, tb) +#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb) +#endif + +/* RaiseException.proto */ +static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); + +/* GetItemInt.proto */ +#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\ + (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\ + __Pyx_GetItemInt_Generic(o, to_py_func(i)))) +#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ + (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, + int wraparound, int boundscheck); +#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ + (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL)) +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, + int wraparound, int boundscheck); +static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, + int is_list, int wraparound, int boundscheck); + +/* ObjectGetItem.proto */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key); +#else +#define __Pyx_PyObject_GetItem(obj, key) PyObject_GetItem(obj, key) +#endif + +/* RaiseTooManyValuesToUnpack.proto */ +static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); + +/* RaiseNeedMoreValuesToUnpack.proto */ +static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); + +/* IterFinish.proto */ +static CYTHON_INLINE int __Pyx_IterFinish(void); + +/* UnpackItemEndCheck.proto */ +static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected); + +/* ImportFrom.proto */ +static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name); + +/* PyDictContains.proto */ +static CYTHON_INLINE int __Pyx_PyDict_ContainsTF(PyObject* item, PyObject* dict, int eq) { + int result = PyDict_Contains(dict, item); + return unlikely(result < 0) ? result : (result == (eq == Py_EQ)); +} + +/* DictGetItem.proto */ +#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY +static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key); +#define __Pyx_PyObject_Dict_GetItem(obj, name)\ + (likely(PyDict_CheckExact(obj)) ?\ + __Pyx_PyDict_GetItem(obj, name) : PyObject_GetItem(obj, name)) +#else +#define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key) +#define __Pyx_PyObject_Dict_GetItem(obj, name) PyObject_GetItem(obj, name) +#endif + +/* UnicodeAsUCS4.proto */ +static CYTHON_INLINE Py_UCS4 __Pyx_PyUnicode_AsPy_UCS4(PyObject*); + +/* object_ord.proto */ +#if PY_MAJOR_VERSION >= 3 +#define __Pyx_PyObject_Ord(c)\ + (likely(PyUnicode_Check(c)) ? (long)__Pyx_PyUnicode_AsPy_UCS4(c) : __Pyx__PyObject_Ord(c)) +#else +#define __Pyx_PyObject_Ord(c) __Pyx__PyObject_Ord(c) +#endif +static long __Pyx__PyObject_Ord(PyObject* c); + +/* SetItemInt.proto */ +#define __Pyx_SetItemInt(o, i, v, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_SetItemInt_Fast(o, (Py_ssize_t)i, v, is_list, wraparound, boundscheck) :\ + (is_list ? (PyErr_SetString(PyExc_IndexError, "list assignment index out of range"), -1) :\ + __Pyx_SetItemInt_Generic(o, to_py_func(i), v))) +static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v); +static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, + int is_list, int wraparound, int boundscheck); + +/* PyObjectGetMethod.proto */ +static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method); + +/* PyObjectCallMethod0.proto */ +static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name); + +/* RaiseNoneIterError.proto */ +static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); + +/* UnpackTupleError.proto */ +static void __Pyx_UnpackTupleError(PyObject *, Py_ssize_t index); + +/* UnpackTuple2.proto */ +#define __Pyx_unpack_tuple2(tuple, value1, value2, is_tuple, has_known_size, decref_tuple)\ + (likely(is_tuple || PyTuple_Check(tuple)) ?\ + (likely(has_known_size || PyTuple_GET_SIZE(tuple) == 2) ?\ + __Pyx_unpack_tuple2_exact(tuple, value1, value2, decref_tuple) :\ + (__Pyx_UnpackTupleError(tuple, 2), -1)) :\ + __Pyx_unpack_tuple2_generic(tuple, value1, value2, has_known_size, decref_tuple)) +static CYTHON_INLINE int __Pyx_unpack_tuple2_exact( + PyObject* tuple, PyObject** value1, PyObject** value2, int decref_tuple); +static int __Pyx_unpack_tuple2_generic( + PyObject* tuple, PyObject** value1, PyObject** value2, int has_known_size, int decref_tuple); + +/* dict_iter.proto */ +static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* dict, int is_dict, PyObject* method_name, + Py_ssize_t* p_orig_length, int* p_is_dict); +static CYTHON_INLINE int __Pyx_dict_iter_next(PyObject* dict_or_iter, Py_ssize_t orig_length, Py_ssize_t* ppos, + PyObject** pkey, PyObject** pvalue, PyObject** pitem, int is_dict); + +/* ListAppend.proto */ +#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS +static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) { + PyListObject* L = (PyListObject*) list; + Py_ssize_t len = Py_SIZE(list); + if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) { + Py_INCREF(x); + PyList_SET_ITEM(list, len, x); + __Pyx_SET_SIZE(list, len + 1); + return 0; + } + return PyList_Append(list, x); +} +#else +#define __Pyx_PyList_Append(L,x) PyList_Append(L,x) +#endif + +/* ExtTypeTest.proto */ +static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); + +/* IsLittleEndian.proto */ +static CYTHON_INLINE int __Pyx_Is_Little_Endian(void); + +/* BufferFormatCheck.proto */ +static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts); +static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, + __Pyx_BufFmt_StackElem* stack, + __Pyx_TypeInfo* type); + +/* BufferGetAndValidate.proto */ +#define __Pyx_GetBufferAndValidate(buf, obj, dtype, flags, nd, cast, stack)\ + ((obj == Py_None || obj == NULL) ?\ + (__Pyx_ZeroBuffer(buf), 0) :\ + __Pyx__GetBufferAndValidate(buf, obj, dtype, flags, nd, cast, stack)) +static int __Pyx__GetBufferAndValidate(Py_buffer* buf, PyObject* obj, + __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack); +static void __Pyx_ZeroBuffer(Py_buffer* buf); +static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info); +static Py_ssize_t __Pyx_minusones[] = { -1, -1, -1, -1, -1, -1, -1, -1 }; +static Py_ssize_t __Pyx_zeros[] = { 0, 0, 0, 0, 0, 0, 0, 0 }; + +/* PyIntBinop.proto */ +#if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check); +#else +#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\ + (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2)) +#endif + +/* None.proto */ +static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname); + +/* None.proto */ +static void __Pyx_RaiseUnboundMemoryviewSliceNogil(const char *varname); + +#define __Pyx_BufPtrStrided2d(type, buf, i0, s0, i1, s1) (type)((char*)buf + i0 * s0 + i1 * s1) +/* GCCDiagnostics.proto */ +#if defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6)) +#define __Pyx_HAS_GCC_DIAGNOSTIC +#endif + +/* BuildPyUnicode.proto */ +static PyObject* __Pyx_PyUnicode_BuildFromAscii(Py_ssize_t ulength, char* chars, int clength, + int prepend_sign, char padding_char); + +/* CIntToPyUnicode.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char, char format_char); + +/* PyObjectFormat.proto */ +#if CYTHON_USE_UNICODE_WRITER +static PyObject* __Pyx_PyObject_Format(PyObject* s, PyObject* f); +#else +#define __Pyx_PyObject_Format(s, f) PyObject_Format(s, f) +#endif + +/* IncludeStringH.proto */ +#include + +/* JoinPyUnicode.proto */ +static PyObject* __Pyx_PyUnicode_Join(PyObject* value_tuple, Py_ssize_t value_count, Py_ssize_t result_ulength, + Py_UCS4 max_char); + +/* MemviewSliceInit.proto */ +#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d +#define __Pyx_MEMVIEW_DIRECT 1 +#define __Pyx_MEMVIEW_PTR 2 +#define __Pyx_MEMVIEW_FULL 4 +#define __Pyx_MEMVIEW_CONTIG 8 +#define __Pyx_MEMVIEW_STRIDED 16 +#define __Pyx_MEMVIEW_FOLLOW 32 +#define __Pyx_IS_C_CONTIG 1 +#define __Pyx_IS_F_CONTIG 2 +static int __Pyx_init_memviewslice( + struct __pyx_memoryview_obj *memview, + int ndim, + __Pyx_memviewslice *memviewslice, + int memview_is_new_reference); +static CYTHON_INLINE int __pyx_add_acquisition_count_locked( + __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); +static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( + __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); +#define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p) +#define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview)) +#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) +#define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__) +static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); +static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int); + +/* PyObjectCallMethod1.proto */ +static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg); + +/* append.proto */ +static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x); + +/* ListCompAppend.proto */ +#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS +static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { + PyListObject* L = (PyListObject*) list; + Py_ssize_t len = Py_SIZE(list); + if (likely(L->allocated > len)) { + Py_INCREF(x); + PyList_SET_ITEM(list, len, x); + __Pyx_SET_SIZE(list, len + 1); + return 0; + } + return PyList_Append(list, x); +} +#else +#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) +#endif + +/* SliceObject.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice( + PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop, + PyObject** py_start, PyObject** py_stop, PyObject** py_slice, + int has_cstart, int has_cstop, int wraparound); + +/* PyObjectFormatAndDecref.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatSimpleAndDecref(PyObject* s, PyObject* f); +static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatAndDecref(PyObject* s, PyObject* f); + +/* CIntToPyUnicode.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char, char format_char); + +/* PyIntBinop.proto */ +#if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_AddCObj(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check); +#else +#define __Pyx_PyInt_AddCObj(op1, op2, intval, inplace, zerodivision_check)\ + (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2)) +#endif + +/* PyIntBinop.proto */ +#if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check); +#else +#define __Pyx_PyInt_SubtractObjC(op1, op2, intval, inplace, zerodivision_check)\ + (inplace ? PyNumber_InPlaceSubtract(op1, op2) : PyNumber_Subtract(op1, op2)) +#endif + +/* PyIntBinop.proto */ +#if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_SubtractCObj(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check); +#else +#define __Pyx_PyInt_SubtractCObj(op1, op2, intval, inplace, zerodivision_check)\ + (inplace ? PyNumber_InPlaceSubtract(op1, op2) : PyNumber_Subtract(op1, op2)) +#endif + +/* SliceObject.proto */ +#define __Pyx_PyObject_DelSlice(obj, cstart, cstop, py_start, py_stop, py_slice, has_cstart, has_cstop, wraparound)\ + __Pyx_PyObject_SetSlice(obj, (PyObject*)NULL, cstart, cstop, py_start, py_stop, py_slice, has_cstart, has_cstop, wraparound) +static CYTHON_INLINE int __Pyx_PyObject_SetSlice( + PyObject* obj, PyObject* value, Py_ssize_t cstart, Py_ssize_t cstop, + PyObject** py_start, PyObject** py_stop, PyObject** py_slice, + int has_cstart, int has_cstop, int wraparound); + +/* GetTopmostException.proto */ +#if CYTHON_USE_EXC_INFO_STACK +static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate); +#endif + +/* SaveResetException.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); +#else +#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb) +#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb) +#endif + +/* PyErrExceptionMatches.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err) +static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err); +#else +#define __Pyx_PyErr_ExceptionMatches(err) PyErr_ExceptionMatches(err) +#endif + +/* GetException.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb) +static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#else +static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); +#endif + +/* ArgTypeTest.proto */ +#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\ + ((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\ + __Pyx__ArgTypeTest(obj, type, name, exact)) +static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact); + +/* BytesEquals.proto */ +static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals); + +/* UnicodeEquals.proto */ +static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); + +/* StrEquals.proto */ +#if PY_MAJOR_VERSION >= 3 +#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals +#else +#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals +#endif + +/* None.proto */ +static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t); + +/* UnaryNegOverflows.proto */ +#define UNARY_NEG_WOULD_OVERFLOW(x)\ + (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x))) + +static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/ +/* GetAttr.proto */ +static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); + +/* decode_c_string_utf16.proto */ +static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16(const char *s, Py_ssize_t size, const char *errors) { + int byteorder = 0; + return PyUnicode_DecodeUTF16(s, size, errors, &byteorder); +} +static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16LE(const char *s, Py_ssize_t size, const char *errors) { + int byteorder = -1; + return PyUnicode_DecodeUTF16(s, size, errors, &byteorder); +} +static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16BE(const char *s, Py_ssize_t size, const char *errors) { + int byteorder = 1; + return PyUnicode_DecodeUTF16(s, size, errors, &byteorder); +} + +/* decode_c_string.proto */ +static CYTHON_INLINE PyObject* __Pyx_decode_c_string( + const char* cstring, Py_ssize_t start, Py_ssize_t stop, + const char* encoding, const char* errors, + PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)); + +/* GetAttr3.proto */ +static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *); + +/* SwapException.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#else +static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb); +#endif + +/* FastTypeChecks.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) +static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); +#else +#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) +#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) +#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2)) +#endif +#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) + +static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +/* ListExtend.proto */ +static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) { +#if CYTHON_COMPILING_IN_CPYTHON + PyObject* none = _PyList_Extend((PyListObject*)L, v); + if (unlikely(!none)) + return -1; + Py_DECREF(none); + return 0; +#else + return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v); +#endif +} + +/* None.proto */ +static CYTHON_INLINE long __Pyx_div_long(long, long); + +/* HasAttr.proto */ +static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *); + +/* PyObject_GenericGetAttrNoDict.proto */ +#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 +static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name); +#else +#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr +#endif + +/* PyObject_GenericGetAttr.proto */ +#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 +static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name); +#else +#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr +#endif + +/* SetVTable.proto */ +static int __Pyx_SetVtable(PyObject *dict, void *vtable); + +/* PyObjectGetAttrStrNoError.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name); + +/* SetupReduce.proto */ +static int __Pyx_setup_reduce(PyObject* type_obj); + +/* TypeImport.proto */ +#ifndef __PYX_HAVE_RT_ImportType_proto +#define __PYX_HAVE_RT_ImportType_proto +enum __Pyx_ImportType_CheckSize { + __Pyx_ImportType_CheckSize_Error = 0, + __Pyx_ImportType_CheckSize_Warn = 1, + __Pyx_ImportType_CheckSize_Ignore = 2 +}; +static PyTypeObject *__Pyx_ImportType(PyObject* module, const char *module_name, const char *class_name, size_t size, enum __Pyx_ImportType_CheckSize check_size); +#endif + +/* CalculateMetaclass.proto */ +static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases); + +/* FetchCommonType.proto */ +static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type); + +/* CythonFunctionShared.proto */ +#define __Pyx_CyFunction_USED 1 +#define __Pyx_CYFUNCTION_STATICMETHOD 0x01 +#define __Pyx_CYFUNCTION_CLASSMETHOD 0x02 +#define __Pyx_CYFUNCTION_CCLASS 0x04 +#define __Pyx_CyFunction_GetClosure(f)\ + (((__pyx_CyFunctionObject *) (f))->func_closure) +#define __Pyx_CyFunction_GetClassObj(f)\ + (((__pyx_CyFunctionObject *) (f))->func_classobj) +#define __Pyx_CyFunction_Defaults(type, f)\ + ((type *)(((__pyx_CyFunctionObject *) (f))->defaults)) +#define __Pyx_CyFunction_SetDefaultsGetter(f, g)\ + ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g) +typedef struct { + PyCFunctionObject func; +#if PY_VERSION_HEX < 0x030500A0 + PyObject *func_weakreflist; +#endif + PyObject *func_dict; + PyObject *func_name; + PyObject *func_qualname; + PyObject *func_doc; + PyObject *func_globals; + PyObject *func_code; + PyObject *func_closure; + PyObject *func_classobj; + void *defaults; + int defaults_pyobjects; + size_t defaults_size; // used by FusedFunction for copying defaults + int flags; + PyObject *defaults_tuple; + PyObject *defaults_kwdict; + PyObject *(*defaults_getter)(PyObject *); + PyObject *func_annotations; +} __pyx_CyFunctionObject; +static PyTypeObject *__pyx_CyFunctionType = 0; +#define __Pyx_CyFunction_Check(obj) (__Pyx_TypeCheck(obj, __pyx_CyFunctionType)) +static PyObject *__Pyx_CyFunction_Init(__pyx_CyFunctionObject* op, PyMethodDef *ml, + int flags, PyObject* qualname, + PyObject *self, + PyObject *module, PyObject *globals, + PyObject* code); +static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *m, + size_t size, + int pyobjects); +static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m, + PyObject *tuple); +static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m, + PyObject *dict); +static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m, + PyObject *dict); +static int __pyx_CyFunction_init(void); + +/* CythonFunction.proto */ +static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, + int flags, PyObject* qualname, + PyObject *closure, + PyObject *module, PyObject *globals, + PyObject* code); + +/* SetNameInClass.proto */ +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 +#define __Pyx_SetNameInClass(ns, name, value)\ + (likely(PyDict_CheckExact(ns)) ? _PyDict_SetItem_KnownHash(ns, name, value, ((PyASCIIObject *) name)->hash) : PyObject_SetItem(ns, name, value)) +#elif CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_SetNameInClass(ns, name, value)\ + (likely(PyDict_CheckExact(ns)) ? PyDict_SetItem(ns, name, value) : PyObject_SetItem(ns, name, value)) +#else +#define __Pyx_SetNameInClass(ns, name, value) PyObject_SetItem(ns, name, value) +#endif + +/* FusedFunction.proto */ +typedef struct { + __pyx_CyFunctionObject func; + PyObject *__signatures__; + PyObject *type; + PyObject *self; +} __pyx_FusedFunctionObject; +static PyObject *__pyx_FusedFunction_New(PyMethodDef *ml, int flags, + PyObject *qualname, PyObject *closure, + PyObject *module, PyObject *globals, + PyObject *code); +static int __pyx_FusedFunction_clear(__pyx_FusedFunctionObject *self); +static PyTypeObject *__pyx_FusedFunctionType = NULL; +static int __pyx_FusedFunction_init(void); +#define __Pyx_FusedFunction_USED + +/* Py3ClassCreate.proto */ +static PyObject *__Pyx_Py3MetaclassPrepare(PyObject *metaclass, PyObject *bases, PyObject *name, PyObject *qualname, + PyObject *mkw, PyObject *modname, PyObject *doc); +static PyObject *__Pyx_Py3ClassCreate(PyObject *metaclass, PyObject *name, PyObject *bases, PyObject *dict, + PyObject *mkw, int calculate_metaclass, int allow_py2_metaclass); + +/* CLineInTraceback.proto */ +#ifdef CYTHON_CLINE_IN_TRACEBACK +#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0) +#else +static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line); +#endif + +/* CodeObjectCache.proto */ +typedef struct { + PyCodeObject* code_object; + int code_line; +} __Pyx_CodeObjectCacheEntry; +struct __Pyx_CodeObjectCache { + int count; + int max_count; + __Pyx_CodeObjectCacheEntry* entries; +}; +static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; +static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); +static PyCodeObject *__pyx_find_code_object(int code_line); +static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); + +/* AddTraceback.proto */ +static void __Pyx_AddTraceback(const char *funcname, int c_line, + int py_line, const char *filename); + +#if PY_MAJOR_VERSION < 3 + static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); + static void __Pyx_ReleaseBuffer(Py_buffer *view); +#else + #define __Pyx_GetBuffer PyObject_GetBuffer + #define __Pyx_ReleaseBuffer PyBuffer_Release +#endif + + +/* BufferStructDeclare.proto */ +typedef struct { + Py_ssize_t shape, strides, suboffsets; +} __Pyx_Buf_DimInfo; +typedef struct { + size_t refcount; + Py_buffer pybuffer; +} __Pyx_Buffer; +typedef struct { + __Pyx_Buffer *rcbuffer; + char *data; + __Pyx_Buf_DimInfo diminfo[8]; +} __Pyx_LocalBuf_ND; + +/* MemviewSliceIsContig.proto */ +static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim); + +/* OverlappingSlices.proto */ +static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, + __Pyx_memviewslice *slice2, + int ndim, size_t itemsize); + +/* Capsule.proto */ +static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig); + +/* TypeInfoCompare.proto */ +static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b); + +/* MemviewSliceValidateAndInit.proto */ +static int __Pyx_ValidateAndInit_memviewslice( + int *axes_specs, + int c_or_f_flag, + int buf_flags, + int ndim, + __Pyx_TypeInfo *dtype, + __Pyx_BufFmt_StackElem stack[], + __Pyx_memviewslice *memviewslice, + PyObject *original_obj); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_float(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_double(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_short(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_long(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_float(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *, int writable_flag); + +/* RealImag.proto */ +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + #define __Pyx_CREAL(z) ((z).real()) + #define __Pyx_CIMAG(z) ((z).imag()) + #else + #define __Pyx_CREAL(z) (__real__(z)) + #define __Pyx_CIMAG(z) (__imag__(z)) + #endif +#else + #define __Pyx_CREAL(z) ((z).real) + #define __Pyx_CIMAG(z) ((z).imag) +#endif +#if defined(__cplusplus) && CYTHON_CCOMPLEX\ + && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) + #define __Pyx_SET_CREAL(z,x) ((z).real(x)) + #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) +#else + #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) + #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) +#endif + +/* Arithmetic.proto */ +#if CYTHON_CCOMPLEX + #define __Pyx_c_eq_float(a, b) ((a)==(b)) + #define __Pyx_c_sum_float(a, b) ((a)+(b)) + #define __Pyx_c_diff_float(a, b) ((a)-(b)) + #define __Pyx_c_prod_float(a, b) ((a)*(b)) + #define __Pyx_c_quot_float(a, b) ((a)/(b)) + #define __Pyx_c_neg_float(a) (-(a)) + #ifdef __cplusplus + #define __Pyx_c_is_zero_float(z) ((z)==(float)0) + #define __Pyx_c_conj_float(z) (::std::conj(z)) + #if 1 + #define __Pyx_c_abs_float(z) (::std::abs(z)) + #define __Pyx_c_pow_float(a, b) (::std::pow(a, b)) + #endif + #else + #define __Pyx_c_is_zero_float(z) ((z)==0) + #define __Pyx_c_conj_float(z) (conjf(z)) + #if 1 + #define __Pyx_c_abs_float(z) (cabsf(z)) + #define __Pyx_c_pow_float(a, b) (cpowf(a, b)) + #endif + #endif +#else + static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex); + static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex); + #if 1 + static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex); + #endif +#endif + +/* Arithmetic.proto */ +#if CYTHON_CCOMPLEX + #define __Pyx_c_eq_double(a, b) ((a)==(b)) + #define __Pyx_c_sum_double(a, b) ((a)+(b)) + #define __Pyx_c_diff_double(a, b) ((a)-(b)) + #define __Pyx_c_prod_double(a, b) ((a)*(b)) + #define __Pyx_c_quot_double(a, b) ((a)/(b)) + #define __Pyx_c_neg_double(a) (-(a)) + #ifdef __cplusplus + #define __Pyx_c_is_zero_double(z) ((z)==(double)0) + #define __Pyx_c_conj_double(z) (::std::conj(z)) + #if 1 + #define __Pyx_c_abs_double(z) (::std::abs(z)) + #define __Pyx_c_pow_double(a, b) (::std::pow(a, b)) + #endif + #else + #define __Pyx_c_is_zero_double(z) ((z)==0) + #define __Pyx_c_conj_double(z) (conj(z)) + #if 1 + #define __Pyx_c_abs_double(z) (cabs(z)) + #define __Pyx_c_pow_double(a, b) (cpow(a, b)) + #endif + #endif +#else + static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex); + static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex); + #if 1 + static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex); + #endif +#endif + +/* MemviewSliceCopyTemplate.proto */ +static __Pyx_memviewslice +__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, + const char *mode, int ndim, + size_t sizeof_dtype, int contig_flag, + int dtype_is_object); + +/* CIntFromPy.proto */ +static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); + +/* CIntFromPy.proto */ +static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value); + +/* BytesContains.proto */ +static CYTHON_INLINE int __Pyx_BytesContains(PyObject* bytes, char character); + +/* ImportNumPyArray.proto */ +static PyObject *__pyx_numpy_ndarray = NULL; +static PyObject* __Pyx_ImportNumPyArrayTypeIfAvailable(void); + +/* CIntFromPy.proto */ +static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); + +/* CheckBinaryVersion.proto */ +static int __Pyx_check_binary_version(void); + +/* FunctionImport.proto */ +static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig); + +/* InitStrings.proto */ +static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); + +static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/ +static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/ +static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/ +static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/ +static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ +static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ +static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ + +/* Module declarations from 'cython.view' */ + +/* Module declarations from 'cython' */ + +/* Module declarations from 'libc.math' */ + +/* Module declarations from 'scipy.linalg.cython_blas' */ +static __pyx_t_5scipy_6linalg_11cython_blas_d (*__pyx_f_5scipy_6linalg_11cython_blas_ddot)(int *, __pyx_t_5scipy_6linalg_11cython_blas_d *, int *, __pyx_t_5scipy_6linalg_11cython_blas_d *, int *); /*proto*/ +static __pyx_t_5scipy_6linalg_11cython_blas_s (*__pyx_f_5scipy_6linalg_11cython_blas_sdot)(int *, __pyx_t_5scipy_6linalg_11cython_blas_s *, int *, __pyx_t_5scipy_6linalg_11cython_blas_s *, int *); /*proto*/ + +/* Module declarations from 'cpython.buffer' */ + +/* Module declarations from 'libc.string' */ + +/* Module declarations from 'libc.stdio' */ + +/* Module declarations from '__builtin__' */ + +/* Module declarations from 'cpython.type' */ +static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0; + +/* Module declarations from 'cpython' */ + +/* Module declarations from 'cpython.object' */ + +/* Module declarations from 'cpython.ref' */ + +/* Module declarations from 'cpython.mem' */ + +/* Module declarations from 'numpy' */ + +/* Module declarations from 'numpy' */ +static PyTypeObject *__pyx_ptype_5numpy_dtype = 0; +static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0; +static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0; +static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0; +static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; +static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ + +/* Module declarations from 'cornac.models.comparer.recom_comparer_obj' */ +static PyTypeObject *__pyx_array_type = 0; +static PyTypeObject *__pyx_MemviewEnum_type = 0; +static PyTypeObject *__pyx_memoryview_type = 0; +static PyTypeObject *__pyx_memoryviewslice_type = 0; +static PyObject *generic = 0; +static PyObject *strided = 0; +static PyObject *indirect = 0; +static PyObject *contiguous = 0; +static PyObject *indirect_contiguous = 0; +static int __pyx_memoryview_thread_locks_used; +static PyThread_type_lock __pyx_memoryview_thread_locks[8]; +static float __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(int, float *, int, float *, int); /*proto*/ +static double __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(int, double *, int, double *, int); /*proto*/ +static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ +static void *__pyx_align_pointer(void *, size_t); /*proto*/ +static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ +static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ +static PyObject *_unellipsify(PyObject *, int); /*proto*/ +static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ +static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ +static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ +static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/ +static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ +static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ +static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ +static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ +static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ +static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ +static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ +static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ +static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ +static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ +static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ +static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ +static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ +static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ +static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/ +static int __pyx_memoryview_err(PyObject *, char *); /*proto*/ +static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ +static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ +static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ +static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ +static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ +static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ +static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ +static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/ +static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t = { "float32_t", NULL, sizeof(__pyx_t_5numpy_float32_t), { 0 }, 0, 'R', 0, 0 }; +static __Pyx_TypeInfo __Pyx_TypeInfo_float = { "float", NULL, sizeof(float), { 0 }, 0, 'R', 0, 0 }; +static __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 }; +static __Pyx_TypeInfo __Pyx_TypeInfo_short = { "short", NULL, sizeof(short), { 0 }, 0, IS_UNSIGNED(short) ? 'U' : 'I', IS_UNSIGNED(short), 0 }; +static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 }; +static __Pyx_TypeInfo __Pyx_TypeInfo_long = { "long", NULL, sizeof(long), { 0 }, 0, IS_UNSIGNED(long) ? 'U' : 'I', IS_UNSIGNED(long), 0 }; +#define __Pyx_MODULE_NAME "cornac.models.comparer.recom_comparer_obj" +extern int __pyx_module_is_main_cornac__models__comparer__recom_comparer_obj; +int __pyx_module_is_main_cornac__models__comparer__recom_comparer_obj = 0; + +/* Implementation of 'cornac.models.comparer.recom_comparer_obj' */ +static PyObject *__pyx_builtin_ValueError; +static PyObject *__pyx_builtin_TypeError; +static PyObject *__pyx_builtin_range; +static PyObject *__pyx_builtin_print; +static PyObject *__pyx_builtin_sum; +static PyObject *__pyx_builtin_max; +static PyObject *__pyx_builtin_RuntimeError; +static PyObject *__pyx_builtin_ImportError; +static PyObject *__pyx_builtin_MemoryError; +static PyObject *__pyx_builtin_enumerate; +static PyObject *__pyx_builtin_Ellipsis; +static PyObject *__pyx_builtin_id; +static PyObject *__pyx_builtin_IndexError; +static const char __pyx_k_[] = "()"; +static const char __pyx_k_A[] = "A"; +static const char __pyx_k_O[] = "O"; +static const char __pyx_k_T[] = "T"; +static const char __pyx_k_V[] = "V"; +static const char __pyx_k_X[] = "X"; +static const char __pyx_k_Y[] = "Y"; +static const char __pyx_k_c[] = "c"; +static const char __pyx_k_d[] = "d"; +static const char __pyx_k_f[] = "f"; +static const char __pyx_k_i[] = "i"; +static const char __pyx_k_j[] = "j"; +static const char __pyx_k_k[] = "k"; +static const char __pyx_k_s[] = "s"; +static const char __pyx_k_t[] = "t"; +static const char __pyx_k_z[] = "z"; +static const char __pyx_k_2f[] = ".2f"; +static const char __pyx_k_H1[] = "H1"; +static const char __pyx_k_H2[] = "H2"; +static const char __pyx_k_U1[] = "U1"; +static const char __pyx_k_U2[] = "U2"; +static const char __pyx_k__2[] = "|"; +static const char __pyx_k__6[] = " = "; +static const char __pyx_k__7[] = ")"; +static const char __pyx_k_id[] = "id"; +static const char __pyx_k_np[] = "np"; +static const char __pyx_k_sp[] = "sp"; +static const char __pyx_k_X_2[] = "X_"; +static const char __pyx_k__35[] = "*"; +static const char __pyx_k__54[] = "_"; +static const char __pyx_k_aid[] = "aid"; +static const char __pyx_k_avg[] = "), avg("; +static const char __pyx_k_doc[] = "__doc__"; +static const char __pyx_k_dot[] = "dot"; +static const char __pyx_k_eps[] = "eps"; +static const char __pyx_k_exp[] = "exp"; +static const char __pyx_k_fit[] = "fit"; +static const char __pyx_k_get[] = "get"; +static const char __pyx_k_idx[] = "idx"; +static const char __pyx_k_iid[] = "iid"; +static const char __pyx_k_int[] = "int"; +static const char __pyx_k_max[] = "max"; +static const char __pyx_k_min[] = ", min("; +static const char __pyx_k_new[] = "__new__"; +static const char __pyx_k_obj[] = "obj"; +static const char __pyx_k_rng[] = "rng"; +static const char __pyx_k_sum[] = "sum"; +static const char __pyx_k_tup[] = "tup"; +static const char __pyx_k_uid[] = "uid"; +static const char __pyx_k_args[] = "args"; +static const char __pyx_k_base[] = "base"; +static const char __pyx_k_data[] = "data"; +static const char __pyx_k_desc[] = "desc"; +static const char __pyx_k_dict[] = "__dict__"; +static const char __pyx_k_diff[] = "diff"; +static const char __pyx_k_fill[] = "fill"; +static const char __pyx_k_grad[] = "grad"; +static const char __pyx_k_high[] = "high"; +static const char __pyx_k_init[] = "__init__"; +static const char __pyx_k_iter[] = "iter: "; +static const char __pyx_k_keys[] = "keys"; +static const char __pyx_k_kind[] = "kind"; +static const char __pyx_k_long[] = "long"; +static const char __pyx_k_loss[] = ", loss: "; +static const char __pyx_k_main[] = "__main__"; +static const char __pyx_k_mean[] = "mean"; +static const char __pyx_k_mode[] = "mode"; +static const char __pyx_k_name[] = "name"; +static const char __pyx_k_ndim[] = "ndim"; +static const char __pyx_k_ones[] = "ones"; +static const char __pyx_k_pack[] = "pack"; +static const char __pyx_k_rank[] = "rank"; +static const char __pyx_k_seed[] = "seed"; +static const char __pyx_k_self[] = "self"; +static const char __pyx_k_size[] = "size"; +static const char __pyx_k_sqrt[] = "sqrt"; +static const char __pyx_k_step[] = "step"; +static const char __pyx_k_stop[] = "stop"; +static const char __pyx_k_test[] = "__test__"; +static const char __pyx_k_time[] = "time"; +static const char __pyx_k_tqdm[] = "tqdm"; +static const char __pyx_k_ASCII[] = "ASCII"; +static const char __pyx_k_Finer[] = "Finer"; +static const char __pyx_k_alpha[] = "alpha"; +static const char __pyx_k_class[] = "__class__"; +static const char __pyx_k_count[] = "count"; +static const char __pyx_k_dtype[] = "dtype"; +static const char __pyx_k_empty[] = "empty"; +static const char __pyx_k_error[] = "error"; +static const char __pyx_k_flags[] = "flags"; +static const char __pyx_k_float[] = "float"; +static const char __pyx_k_int32[] = "int32"; +static const char __pyx_k_items[] = "items"; +static const char __pyx_k_max_2[] = "), max("; +static const char __pyx_k_min_2[] = "min"; +static const char __pyx_k_numpy[] = "numpy"; +static const char __pyx_k_print[] = "print"; +static const char __pyx_k_range[] = "range"; +static const char __pyx_k_score[] = "score"; +static const char __pyx_k_shape[] = "shape"; +static const char __pyx_k_short[] = "short"; +static const char __pyx_k_split[] = "split"; +static const char __pyx_k_start[] = "start"; +static const char __pyx_k_strip[] = "strip"; +static const char __pyx_k_tocsc[] = "tocsc"; +static const char __pyx_k_utils[] = "utils"; +static const char __pyx_k_A_iids[] = "A_iids"; +static const char __pyx_k_A_uids[] = "A_uids"; +static const char __pyx_k_Around[] = "Around"; +static const char __pyx_k_X_aids[] = "X_aids"; +static const char __pyx_k_X_uids[] = "X_uids"; +static const char __pyx_k_Y_aids[] = "Y_aids"; +static const char __pyx_k_Y_iids[] = "Y_iids"; +static const char __pyx_k_append[] = "append"; +static const char __pyx_k_arange[] = "arange"; +static const char __pyx_k_astype[] = "astype"; +static const char __pyx_k_double[] = "double"; +static const char __pyx_k_encode[] = "encode"; +static const char __pyx_k_format[] = "format"; +static const char __pyx_k_import[] = "__import__"; +static const char __pyx_k_indptr[] = "indptr"; +static const char __pyx_k_kwargs[] = "kwargs"; +static const char __pyx_k_loss_2[] = "loss:"; +static const char __pyx_k_loss_3[] = "loss"; +static const char __pyx_k_module[] = "__module__"; +static const char __pyx_k_name_2[] = "__name__"; +static const char __pyx_k_pickle[] = "pickle"; +static const char __pyx_k_rating[] = "rating"; +static const char __pyx_k_reduce[] = "__reduce__"; +static const char __pyx_k_repeat[] = "repeat"; +static const char __pyx_k_struct[] = "struct"; +static const char __pyx_k_tup_id[] = "tup_id"; +static const char __pyx_k_unpack[] = "unpack"; +static const char __pyx_k_update[] = "update"; +static const char __pyx_k_values[] = "values"; +static const char __pyx_k_window[] = "window"; +static const char __pyx_k_Counter[] = "Counter"; +static const char __pyx_k_argsort[] = "argsort"; +static const char __pyx_k_asarray[] = "asarray"; +static const char __pyx_k_correct[] = ", correct: "; +static const char __pyx_k_ediff1d[] = "ediff1d"; +static const char __pyx_k_fit_efm[] = "_fit_efm"; +static const char __pyx_k_flatten[] = "flatten"; +static const char __pyx_k_float32[] = "float32"; +static const char __pyx_k_fortran[] = "fortran"; +static const char __pyx_k_get_rng[] = "get_rng"; +static const char __pyx_k_indices[] = "indices"; +static const char __pyx_k_item_id[] = "item_id"; +static const char __pyx_k_map_iid[] = "map_iid"; +static const char __pyx_k_map_uid[] = "map_uid"; +static const char __pyx_k_memview[] = "memview"; +static const char __pyx_k_prepare[] = "__prepare__"; +static const char __pyx_k_ratings[] = "ratings"; +static const char __pyx_k_score_i[] = "score_i"; +static const char __pyx_k_score_j[] = "score_j"; +static const char __pyx_k_t_count[] = "t_count"; +static const char __pyx_k_uniform[] = "uniform"; +static const char __pyx_k_user_id[] = "user_id"; +static const char __pyx_k_val_set[] = "val_set"; +static const char __pyx_k_verbose[] = "verbose"; +static const char __pyx_k_Dominant[] = "Dominant"; +static const char __pyx_k_Ellipsis[] = "Ellipsis"; +static const char __pyx_k_data_set[] = "data_set"; +static const char __pyx_k_defaults[] = "defaults"; +static const char __pyx_k_get_loss[] = "_get_loss"; +static const char __pyx_k_getstate[] = "__getstate__"; +static const char __pyx_k_item_ids[] = "item_ids"; +static const char __pyx_k_itemsize[] = "itemsize"; +static const char __pyx_k_lambda_d[] = "lambda_d"; +static const char __pyx_k_lambda_h[] = "lambda_h"; +static const char __pyx_k_lambda_u[] = "lambda_u"; +static const char __pyx_k_lambda_v[] = "lambda_v"; +static const char __pyx_k_lambda_x[] = "lambda_x"; +static const char __pyx_k_lambda_y[] = "lambda_y"; +static const char __pyx_k_max_iter[] = "max_iter"; +static const char __pyx_k_pyx_type[] = "__pyx_type"; +static const char __pyx_k_qualname[] = "__qualname__"; +static const char __pyx_k_setstate[] = "__setstate__"; +static const char __pyx_k_uir_iter[] = "uir_iter"; +static const char __pyx_k_DOM_MODEL[] = "DOM_MODEL"; +static const char __pyx_k_TypeError[] = "TypeError"; +static const char __pyx_k_correct_2[] = "correct"; +static const char __pyx_k_cpu_count[] = "cpu_count"; +static const char __pyx_k_enumerate[] = "enumerate"; +static const char __pyx_k_exception[] = "exception"; +static const char __pyx_k_float_int[] = "float|int"; +static const char __pyx_k_item_id_2[] = ", item_id="; +static const char __pyx_k_item_rank[] = "item_rank"; +static const char __pyx_k_itertools[] = "itertools"; +static const char __pyx_k_metaclass[] = "__metaclass__"; +static const char __pyx_k_num_items[] = "num_items"; +static const char __pyx_k_num_users[] = "num_users"; +static const char __pyx_k_pair_freq[] = "pair_freq"; +static const char __pyx_k_pyx_state[] = "__pyx_state"; +static const char __pyx_k_reduce_ex[] = "__reduce_ex__"; +static const char __pyx_k_sentiment[] = "sentiment"; +static const char __pyx_k_train_set[] = "train_set"; +static const char __pyx_k_trainable[] = "trainable"; +static const char __pyx_k_IndexError[] = "IndexError"; +static const char __pyx_k_ValueError[] = "ValueError"; +static const char __pyx_k_aspect_idx[] = "aspect_idx"; +static const char __pyx_k_csr_matrix[] = "csr_matrix"; +static const char __pyx_k_double_int[] = "double|int"; +static const char __pyx_k_early_stop[] = "early_stop"; +static const char __pyx_k_float_long[] = "float|long"; +static const char __pyx_k_get_params[] = "get_params"; +static const char __pyx_k_intersects[] = "intersects"; +static const char __pyx_k_item_score[] = "item_score"; +static const char __pyx_k_model_type[] = "model_type"; +static const char __pyx_k_prediction[] = "prediction"; +static const char __pyx_k_pyx_result[] = "__pyx_result"; +static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; +static const char __pyx_k_signatures[] = "signatures"; +static const char __pyx_k_start_time[] = "start_time"; +static const char __pyx_k_ComparERObj[] = "ComparERObj"; +static const char __pyx_k_FINER_MODEL[] = "FINER_MODEL"; +static const char __pyx_k_ImportError[] = "ImportError"; +static const char __pyx_k_MODEL_TYPES[] = "MODEL_TYPES"; +static const char __pyx_k_MemoryError[] = "MemoryError"; +static const char __pyx_k_OrderedDict[] = "OrderedDict"; +static const char __pyx_k_PickleError[] = "PickleError"; +static const char __pyx_k_Recommender[] = "Recommender"; +static const char __pyx_k_V_numerator[] = "V_numerator"; +static const char __pyx_k_collections[] = "collections"; +static const char __pyx_k_double_long[] = "double|long"; +static const char __pyx_k_enum_window[] = "enum_window"; +static const char __pyx_k_float_short[] = "float|short"; +static const char __pyx_k_init_params[] = "init_params"; +static const char __pyx_k_is_unk_item[] = "is_unk_item"; +static const char __pyx_k_is_unk_user[] = "is_unk_user"; +static const char __pyx_k_item_scores[] = "item_scores"; +static const char __pyx_k_most_common[] = "most_common"; +static const char __pyx_k_num_aspects[] = "num_aspects"; +static const char __pyx_k_num_factors[] = "num_factors"; +static const char __pyx_k_num_threads[] = "num_threads"; +static const char __pyx_k_pair_counts[] = "pair_counts"; +static const char __pyx_k_recommender[] = "recommender"; +static const char __pyx_k_AROUND_MODEL[] = "AROUND_MODEL"; +static const char __pyx_k_H1_numerator[] = "H1_numerator"; +static const char __pyx_k_H2_numerator[] = "H2_numerator"; +static const char __pyx_k_RuntimeError[] = "RuntimeError"; +static const char __pyx_k_U1_numerator[] = "U1_numerator"; +static const char __pyx_k_U2_numerator[] = "U2_numerator"; +static const char __pyx_k_combinations[] = "combinations"; +static const char __pyx_k_double_short[] = "double|short"; +static const char __pyx_k_item_aspects[] = "item_aspects"; +static const char __pyx_k_most_cared_X[] = "most_cared_X_"; +static const char __pyx_k_most_cared_Y[] = "most_cared_Y_"; +static const char __pyx_k_pyx_checksum[] = "__pyx_checksum"; +static const char __pyx_k_random_state[] = "random_state"; +static const char __pyx_k_rating_scale[] = "rating_scale"; +static const char __pyx_k_scipy_sparse[] = "scipy.sparse"; +static const char __pyx_k_stringsource[] = "stringsource"; +static const char __pyx_k_sub_item_ids[] = "sub_item_ids"; +static const char __pyx_k_user_aspects[] = "user_aspects"; +static const char __pyx_k_utils_common[] = "utils.common"; +static const char __pyx_k_A_item_counts[] = "A_item_counts"; +static const char __pyx_k_A_user_counts[] = "A_user_counts"; +static const char __pyx_k_V_denominator[] = "V_denominator"; +static const char __pyx_k_X_user_counts[] = "X_user_counts"; +static const char __pyx_k_Y_item_counts[] = "Y_item_counts"; +static const char __pyx_k_assume_unique[] = "assume_unique"; +static const char __pyx_k_avg_sentiment[] = "avg_sentiment"; +static const char __pyx_k_init_params_2[] = "_init_params"; +static const char __pyx_k_later_indices[] = "later_indices"; +static const char __pyx_k_map_aspect_id[] = "map_aspect_id"; +static const char __pyx_k_max_pair_freq[] = "max_pair_freq"; +static const char __pyx_k_min_pair_freq[] = "min_pair_freq"; +static const char __pyx_k_min_user_freq[] = "min_user_freq"; +static const char __pyx_k_monitor_value[] = "monitor_value"; +static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer"; +static const char __pyx_k_rating_matrix[] = "rating_matrix"; +static const char __pyx_k_reduce_cython[] = "__reduce_cython__"; +static const char __pyx_k_H1_denominator[] = "H1_denominator"; +static const char __pyx_k_H2_denominator[] = "H2_denominator"; +static const char __pyx_k_ScoreException[] = "ScoreException"; +static const char __pyx_k_U1_denominator[] = "U1_denominator"; +static const char __pyx_k_U2_denominator[] = "U2_denominator"; +static const char __pyx_k_aspect_indices[] = "aspect_indices"; +static const char __pyx_k_build_matrices[] = "_build_matrices"; +static const char __pyx_k_early_stopping[] = "early_stopping"; +static const char __pyx_k_item_sentiment[] = "item_sentiment"; +static const char __pyx_k_later_item_idx[] = "later_item_idx"; +static const char __pyx_k_quality_scores[] = "quality_scores"; +static const char __pyx_k_user_sentiment[] = "user_sentiment"; +static const char __pyx_k_ComparERObj_fit[] = "ComparERObj.fit"; +static const char __pyx_k_Enumerate_index[] = "Enumerate index"; +static const char __pyx_k_View_MemoryView[] = "View.MemoryView"; +static const char __pyx_k_X_aspect_counts[] = "X_aspect_counts"; +static const char __pyx_k_Y_aspect_counts[] = "Y_aspect_counts"; +static const char __pyx_k_allocate_buffer[] = "allocate_buffer"; +static const char __pyx_k_aspect_bpr_loss[] = ", aspect bpr loss: "; +static const char __pyx_k_dtype_is_object[] = "dtype_is_object"; +static const char __pyx_k_earlier_indices[] = "earlier_indices"; +static const char __pyx_k_explicit_scores[] = "explicit_scores"; +static const char __pyx_k_min_common_freq[] = "min_common_freq"; +static const char __pyx_k_multiprocessing[] = "multiprocessing"; +static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError"; +static const char __pyx_k_setstate_cython[] = "__setstate_cython__"; +static const char __pyx_k_total_sentiment[] = "total_sentiment"; +static const char __pyx_k_ComparERObj_rank[] = "ComparERObj.rank"; +static const char __pyx_k_attention_scores[] = "attention_scores"; +static const char __pyx_k_chrono_user_data[] = "chrono_user_data"; +static const char __pyx_k_comparable_pairs[] = ", # comparable pairs "; +static const char __pyx_k_earlier_item_idx[] = "earlier_item_idx"; +static const char __pyx_k_utils_init_utils[] = "utils.init_utils"; +static const char __pyx_k_ComparERObj_score[] = "ComparERObj.score"; +static const char __pyx_k_aspect_bpr_loss_2[] = "aspect_bpr_loss"; +static const char __pyx_k_item_aspect_count[] = "item_aspect_count"; +static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum"; +static const char __pyx_k_user_aspect_count[] = "user_aspect_count"; +static const char __pyx_k_ComparERObj___init[] = "ComparERObj.__init__"; +static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; +static const char __pyx_k_num_latent_factors[] = "num_latent_factors"; +static const char __pyx_k_sentiment_polarity[] = "sentiment_polarity"; +static const char __pyx_k_strided_and_direct[] = ""; +static const char __pyx_k_Get_purchased_pairs[] = "Get purchased pairs"; +static const char __pyx_k_Get_skyline_aspects[] = "Get skyline aspects"; +static const char __pyx_k_build_rating_matrix[] = "_build_rating_matrix"; +static const char __pyx_k_earlier_later_pairs[] = "# earlier-later pairs: "; +static const char __pyx_k_not_dominated_pairs[] = ", not dominated pairs "; +static const char __pyx_k_validate_model_type[] = "_validate_model_type"; +static const char __pyx_k_ComparERObj__fit_efm[] = "ComparERObj._fit_efm"; +static const char __pyx_k_common_aspect_counts[] = "common_aspect_counts"; +static const char __pyx_k_num_explicit_factors[] = "num_explicit_factors"; +static const char __pyx_k_strided_and_indirect[] = ""; +static const char __pyx_k_ComparERObj__get_loss[] = "ComparERObj._get_loss"; +static const char __pyx_k_Optimization_finished[] = "Optimization finished!"; +static const char __pyx_k_compute_quality_score[] = "_compute_quality_score"; +static const char __pyx_k_contiguous_and_direct[] = ""; +static const char __pyx_k_not_dominated_pairs_2[] = "not_dominated_pairs"; +static const char __pyx_k_ComparERObj_get_params[] = "ComparERObj.get_params"; +static const char __pyx_k_MemoryView_of_r_object[] = ""; +static const char __pyx_k_chrono_purchased_pairs[] = "chrono_purchased_pairs"; +static const char __pyx_k_num_most_cared_aspects[] = "num_most_cared_aspects"; +static const char __pyx_k_MemoryView_of_r_at_0x_x[] = ""; +static const char __pyx_k_Statistics_aspect_pairs[] = "Statistics: # aspect pairs >= "; +static const char __pyx_k_compute_attention_score[] = "_compute_attention_score"; +static const char __pyx_k_contiguous_and_indirect[] = ""; +static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'"; +static const char __pyx_k_ComparERObj__init_params[] = "ComparERObj._init_params"; +static const char __pyx_k_use_item_pair_popularity[] = "use_item_pair_popularity"; +static const char __pyx_k_ComparERObj_monitor_value[] = "ComparERObj.monitor_value"; +static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d."; +static const char __pyx_k_build_item_quality_matrix[] = "_build_item_quality_matrix"; +static const char __pyx_k_sentiment_tup_ids_by_item[] = "sentiment_tup_ids_by_item"; +static const char __pyx_k_sentiment_tup_ids_by_user[] = "sentiment_tup_ids_by_user"; +static const char __pyx_k_total_sentiment_by_aspect[] = "total_sentiment_by_aspect"; +static const char __pyx_k_most_cared_aspects_indices[] = "most_cared_aspects_indices"; +static const char __pyx_k_unique_earlier_later_pairs[] = ", # unique earlier-later pairs: "; +static const char __pyx_k_use_item_aspect_popularity[] = "use_item_aspect_popularity"; +static const char __pyx_k_Building_matrices_completed[] = "Building matrices completed!"; +static const char __pyx_k_ComparERObj__build_matrices[] = "ComparERObj._build_matrices"; +static const char __pyx_k_No_matching_signature_found[] = "No matching signature found"; +static const char __pyx_k_build_user_attention_matrix[] = "_build_user_attention_matrix"; +static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array"; +static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous"; +static const char __pyx_k_build_chrono_purchased_pairs[] = "_build_chrono_purchased_pairs"; +static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data."; +static const char __pyx_k_strided_and_direct_or_indirect[] = ""; +static const char __pyx_k_Building_chrono_purchared_items[] = "Building chrono purchared items pairs completed in %d s"; +static const char __pyx_k_Can_t_make_score_prediction_for[] = "Can't make score prediction for (user_id=%d"; +static const char __pyx_k_ComparERObj__build_item_quality[] = "ComparERObj._build_item_quality_matrix"; +static const char __pyx_k_Explainable_Recommendation_with[] = "Explainable Recommendation with Comparative Constraints on Objective Aspect-Level Quality\n\n Parameters\n ----------\n num_explicit_factors: int, optional, default: 128\n The dimension of the explicit factors.\n\n num_latent_factors: int, optional, default: 128\n The dimension of the latent factors.\n\n num_most_cared_aspects: int, optional, default: 100\n The number of most cared aspects for each user.\n\n rating_scale: float, optional, default: 5.0\n The maximum rating score of the dataset.\n\n alpha: float, optional, default: 0.9\n Trace off factor for constructing ranking score.\n\n lambda_x: float, optional, default: 1\n The regularization parameter for user aspect attentions.\n\n lambda_y: float, optional, default: 1\n The regularization parameter for item aspect qualities.\n\n lambda_u: float, optional, default: 0.01\n The regularization parameter for user and item explicit factors.\n\n lambda_h: float, optional, default: 0.01\n The regularization parameter for user and item latent factors.\n\n lambda_v: float, optional, default: 0.01\n The regularization parameter for V.\n\n use_item_aspect_popularity: boolean, optional, default: True\n When False, item aspect frequency is omitted from item aspect quality computation formular. Specifically, :math:`Y_{ij} = 1 + \\frac{N - 1}{1 + e^{-s_{ij}}}`\n if :math:`p_i` is reviewed on feature :math:`F_j`\n\n min_user_freq: int, optional, default: 2\n Apply constraint for user with minimum number of ratings, where `min_user_freq = 2` means only apply constraints on users with at least 2 ratings.\n\n min_pair_freq: int, optional, default: 1\n Apply constraint for the purchased pairs (earlier-later bought) with minimum number of pairs, where `min_pair_freq = 2` means only apply constraints on pairs appear at least twice.\n\n max_pair_freq: int, optional, d""efault: 1e9\n Apply constraint for the purchased pairs with frequency at most `max_pair_freq`, where `max_pair_freq = 2` means only apply constraints on pairs appear at most twice.\n\n max_iter: int, optional, default: 1000\n Maximum number of iterations or the number of epochs.\n\n name: string, optional, default: 'ComparERObj'\n The name of the recommender model.\n\n num_threads: int, optional, default: 0\n Number of parallel threads for training.\n If 0, all CPU cores will be utilized.\n\n trainable: boolean, optional, default: True\n When False, the model is not trained and Cornac assumes that the model already \n pre-trained (U1, U2, V, H1, and H2 are not None).\n\n verbose: boolean, optional, default: False\n When True, running logs are displayed.\n\n init_params: dictionary, optional, default: None\n List of initial parameters, e.g., init_params = {'U1':U1, 'U2':U2, 'V':V', H1':H1, 'H2':H2}\n U1: ndarray, shape (n_users, n_explicit_factors)\n The user explicit factors, optional initialization via init_params.\n U2: ndarray, shape (n_ratings, n_explicit_factors)\n The item explicit factors, optional initialization via init_params.\n V: ndarray, shape (n_aspects, n_explict_factors)\n The aspect factors, optional initialization via init_params.\n H1: ndarray, shape (n_users, n_latent_factors)\n The user latent factors, optional initialization via init_params.\n H2: ndarray, shape (n_ratings, n_latent_factors)\n The item latent factors, optional initialization via init_params.\n\n seed: int, optional, default: None\n Random seed for weight initialization.\n\n References\n ----------\n * Trung-Hoang Le and Hady W. Lauw. \"Explainable Recommendation with Comparative Constraints on Product Aspects.\"\n ACM International Conference on Web Search and Data Mining (WSDM). ""2021.\n "; +static const char __pyx_k_Invalid_model_type_Only_support[] = "Invalid model type: {}\nOnly support: {}"; +static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import"; +static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)"; +static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides"; +static const char __pyx_k_Building_item_aspect_quality_mat[] = "Building item aspect quality matrix completed in %d s"; +static const char __pyx_k_Building_rating_matrix_completed[] = "Building rating matrix completed in %d s"; +static const char __pyx_k_Building_user_aspect_attention_m[] = "Building user aspect attention matrix completed in %d s"; +static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory."; +static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview"; +static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview"; +static const char __pyx_k_ComparERObj__build_chrono_purcha[] = "ComparERObj._build_chrono_purchased_pairs"; +static const char __pyx_k_ComparERObj__build_rating_matrix[] = "ComparERObj._build_rating_matrix"; +static const char __pyx_k_ComparERObj__build_user_attentio[] = "ComparERObj._build_user_attention_matrix"; +static const char __pyx_k_ComparERObj__compute_attention_s[] = "ComparERObj._compute_attention_score"; +static const char __pyx_k_ComparERObj__compute_quality_sco[] = "ComparERObj._compute_quality_score"; +static const char __pyx_k_ComparERObj__validate_model_type[] = "ComparERObj._validate_model_type"; +static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array"; +static const char __pyx_k_Expected_at_least_d_argument_s_g[] = "Expected at least %d argument%s, got %d"; +static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd"; +static const char __pyx_k_Function_call_with_ambiguous_arg[] = "Function call with ambiguous argument types"; +static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))"; +static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported"; +static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s"; +static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported"; +static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)"; +static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object"; +static const char __pyx_k_cornac_models_comparer_recom_com[] = "cornac.models.comparer.recom_comparer_obj"; +static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)"; +static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous"; +static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__"; +static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import"; +static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides."; +static const char __pyx_k_Can_t_make_score_prediction_for_2[] = "Can't make score prediction for (user_id="; +static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short."; +static const char __pyx_k_cornac_models_comparer_recom_com_2[] = "cornac/models/comparer/recom_comparer_obj.pyx"; +static PyObject *__pyx_kp_s_; +static PyObject *__pyx_kp_u_2f; +static PyObject *__pyx_n_s_A; +static PyObject *__pyx_n_s_AROUND_MODEL; +static PyObject *__pyx_n_s_ASCII; +static PyObject *__pyx_n_s_A_iids; +static PyObject *__pyx_n_s_A_item_counts; +static PyObject *__pyx_n_s_A_uids; +static PyObject *__pyx_n_s_A_user_counts; +static PyObject *__pyx_n_u_Around; +static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri; +static PyObject *__pyx_kp_u_Building_chrono_purchared_items; +static PyObject *__pyx_kp_u_Building_item_aspect_quality_mat; +static PyObject *__pyx_kp_u_Building_matrices_completed; +static PyObject *__pyx_kp_u_Building_rating_matrix_completed; +static PyObject *__pyx_kp_u_Building_user_aspect_attention_m; +static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is; +static PyObject *__pyx_kp_u_Can_t_make_score_prediction_for; +static PyObject *__pyx_kp_u_Can_t_make_score_prediction_for_2; +static PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor; +static PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi; +static PyObject *__pyx_kp_s_Cannot_index_with_type_s; +static PyObject *__pyx_n_s_ComparERObj; +static PyObject *__pyx_n_u_ComparERObj; +static PyObject *__pyx_n_s_ComparERObj___init; +static PyObject *__pyx_n_s_ComparERObj__build_chrono_purcha; +static PyObject *__pyx_n_s_ComparERObj__build_item_quality; +static PyObject *__pyx_n_s_ComparERObj__build_matrices; +static PyObject *__pyx_n_s_ComparERObj__build_rating_matrix; +static PyObject *__pyx_n_s_ComparERObj__build_user_attentio; +static PyObject *__pyx_n_s_ComparERObj__compute_attention_s; +static PyObject *__pyx_n_s_ComparERObj__compute_quality_sco; +static PyObject *__pyx_n_s_ComparERObj__fit_efm; +static PyObject *__pyx_n_s_ComparERObj__get_loss; +static PyObject *__pyx_n_s_ComparERObj__init_params; +static PyObject *__pyx_n_s_ComparERObj__validate_model_type; +static PyObject *__pyx_n_s_ComparERObj_fit; +static PyObject *__pyx_n_s_ComparERObj_get_params; +static PyObject *__pyx_n_s_ComparERObj_monitor_value; +static PyObject *__pyx_n_s_ComparERObj_rank; +static PyObject *__pyx_n_s_ComparERObj_score; +static PyObject *__pyx_n_s_Counter; +static PyObject *__pyx_n_s_DOM_MODEL; +static PyObject *__pyx_n_u_Dominant; +static PyObject *__pyx_n_s_Ellipsis; +static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr; +static PyObject *__pyx_kp_u_Enumerate_index; +static PyObject *__pyx_kp_s_Expected_at_least_d_argument_s_g; +static PyObject *__pyx_kp_s_Explainable_Recommendation_with; +static PyObject *__pyx_n_s_FINER_MODEL; +static PyObject *__pyx_n_u_Finer; +static PyObject *__pyx_kp_u_Format_string_allocated_too_shor; +static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2; +static PyObject *__pyx_kp_s_Function_call_with_ambiguous_arg; +static PyObject *__pyx_kp_u_Get_purchased_pairs; +static PyObject *__pyx_kp_u_Get_skyline_aspects; +static PyObject *__pyx_n_s_H1; +static PyObject *__pyx_n_u_H1; +static PyObject *__pyx_n_s_H1_denominator; +static PyObject *__pyx_n_s_H1_numerator; +static PyObject *__pyx_n_s_H2; +static PyObject *__pyx_n_u_H2; +static PyObject *__pyx_n_s_H2_denominator; +static PyObject *__pyx_n_s_H2_numerator; +static PyObject *__pyx_n_s_ImportError; +static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0; +static PyObject *__pyx_n_s_IndexError; +static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte; +static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr; +static PyObject *__pyx_kp_u_Invalid_model_type_Only_support; +static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d; +static PyObject *__pyx_n_s_MODEL_TYPES; +static PyObject *__pyx_n_s_MemoryError; +static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x; +static PyObject *__pyx_kp_s_MemoryView_of_r_object; +static PyObject *__pyx_kp_s_No_matching_signature_found; +static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor; +static PyObject *__pyx_n_b_O; +static PyObject *__pyx_kp_u_Optimization_finished; +static PyObject *__pyx_n_s_OrderedDict; +static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a; +static PyObject *__pyx_n_s_PickleError; +static PyObject *__pyx_n_s_Recommender; +static PyObject *__pyx_n_s_RuntimeError; +static PyObject *__pyx_n_s_ScoreException; +static PyObject *__pyx_kp_u_Statistics_aspect_pairs; +static PyObject *__pyx_n_s_T; +static PyObject *__pyx_n_s_TypeError; +static PyObject *__pyx_n_s_U1; +static PyObject *__pyx_n_u_U1; +static PyObject *__pyx_n_s_U1_denominator; +static PyObject *__pyx_n_s_U1_numerator; +static PyObject *__pyx_n_s_U2; +static PyObject *__pyx_n_u_U2; +static PyObject *__pyx_n_s_U2_denominator; +static PyObject *__pyx_n_s_U2_numerator; +static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object; +static PyObject *__pyx_n_s_V; +static PyObject *__pyx_n_u_V; +static PyObject *__pyx_n_s_V_denominator; +static PyObject *__pyx_n_s_V_numerator; +static PyObject *__pyx_n_s_ValueError; +static PyObject *__pyx_n_s_View_MemoryView; +static PyObject *__pyx_n_s_X; +static PyObject *__pyx_n_s_X_2; +static PyObject *__pyx_n_s_X_aids; +static PyObject *__pyx_n_s_X_aspect_counts; +static PyObject *__pyx_n_s_X_uids; +static PyObject *__pyx_n_s_X_user_counts; +static PyObject *__pyx_n_s_Y; +static PyObject *__pyx_n_s_Y_aids; +static PyObject *__pyx_n_s_Y_aspect_counts; +static PyObject *__pyx_n_s_Y_iids; +static PyObject *__pyx_n_s_Y_item_counts; +static PyObject *__pyx_kp_s__2; +static PyObject *__pyx_n_s__35; +static PyObject *__pyx_n_s__54; +static PyObject *__pyx_kp_u__6; +static PyObject *__pyx_kp_u__7; +static PyObject *__pyx_n_s_aid; +static PyObject *__pyx_n_s_allocate_buffer; +static PyObject *__pyx_n_s_alpha; +static PyObject *__pyx_n_s_append; +static PyObject *__pyx_n_s_arange; +static PyObject *__pyx_n_s_args; +static PyObject *__pyx_n_s_argsort; +static PyObject *__pyx_n_s_asarray; +static PyObject *__pyx_kp_u_aspect_bpr_loss; +static PyObject *__pyx_n_s_aspect_bpr_loss_2; +static PyObject *__pyx_n_s_aspect_idx; +static PyObject *__pyx_n_s_aspect_indices; +static PyObject *__pyx_n_s_assume_unique; +static PyObject *__pyx_n_s_astype; +static PyObject *__pyx_n_s_attention_scores; +static PyObject *__pyx_kp_u_avg; +static PyObject *__pyx_n_s_avg_sentiment; +static PyObject *__pyx_n_s_base; +static PyObject *__pyx_n_s_build_chrono_purchased_pairs; +static PyObject *__pyx_n_s_build_item_quality_matrix; +static PyObject *__pyx_n_s_build_matrices; +static PyObject *__pyx_n_s_build_rating_matrix; +static PyObject *__pyx_n_s_build_user_attention_matrix; +static PyObject *__pyx_n_s_c; +static PyObject *__pyx_n_u_c; +static PyObject *__pyx_n_s_chrono_purchased_pairs; +static PyObject *__pyx_n_s_chrono_user_data; +static PyObject *__pyx_n_s_class; +static PyObject *__pyx_n_s_cline_in_traceback; +static PyObject *__pyx_n_s_collections; +static PyObject *__pyx_n_s_combinations; +static PyObject *__pyx_n_s_common_aspect_counts; +static PyObject *__pyx_kp_u_comparable_pairs; +static PyObject *__pyx_n_s_compute_attention_score; +static PyObject *__pyx_n_s_compute_quality_score; +static PyObject *__pyx_kp_s_contiguous_and_direct; +static PyObject *__pyx_kp_s_contiguous_and_indirect; +static PyObject *__pyx_n_s_cornac_models_comparer_recom_com; +static PyObject *__pyx_kp_s_cornac_models_comparer_recom_com_2; +static PyObject *__pyx_kp_u_correct; +static PyObject *__pyx_n_s_correct_2; +static PyObject *__pyx_n_s_count; +static PyObject *__pyx_n_s_cpu_count; +static PyObject *__pyx_n_s_csr_matrix; +static PyObject *__pyx_n_u_d; +static PyObject *__pyx_n_s_data; +static PyObject *__pyx_n_s_data_set; +static PyObject *__pyx_n_s_defaults; +static PyObject *__pyx_n_s_desc; +static PyObject *__pyx_n_s_dict; +static PyObject *__pyx_n_s_diff; +static PyObject *__pyx_n_s_doc; +static PyObject *__pyx_n_s_dot; +static PyObject *__pyx_n_s_double; +static PyObject *__pyx_kp_s_double_int; +static PyObject *__pyx_kp_s_double_long; +static PyObject *__pyx_kp_s_double_short; +static PyObject *__pyx_n_s_dtype; +static PyObject *__pyx_n_s_dtype_is_object; +static PyObject *__pyx_n_s_earlier_indices; +static PyObject *__pyx_n_s_earlier_item_idx; +static PyObject *__pyx_kp_u_earlier_later_pairs; +static PyObject *__pyx_n_s_early_stop; +static PyObject *__pyx_n_s_early_stopping; +static PyObject *__pyx_n_s_ediff1d; +static PyObject *__pyx_n_s_empty; +static PyObject *__pyx_n_s_encode; +static PyObject *__pyx_n_s_enum_window; +static PyObject *__pyx_n_s_enumerate; +static PyObject *__pyx_n_s_eps; +static PyObject *__pyx_n_s_error; +static PyObject *__pyx_n_s_exception; +static PyObject *__pyx_n_s_exp; +static PyObject *__pyx_n_s_explicit_scores; +static PyObject *__pyx_n_s_f; +static PyObject *__pyx_n_s_fill; +static PyObject *__pyx_n_s_fit; +static PyObject *__pyx_n_s_fit_efm; +static PyObject *__pyx_n_s_flags; +static PyObject *__pyx_n_s_flatten; +static PyObject *__pyx_n_s_float; +static PyObject *__pyx_n_s_float32; +static PyObject *__pyx_kp_s_float_int; +static PyObject *__pyx_kp_s_float_long; +static PyObject *__pyx_kp_s_float_short; +static PyObject *__pyx_n_s_format; +static PyObject *__pyx_n_s_fortran; +static PyObject *__pyx_n_u_fortran; +static PyObject *__pyx_n_s_get; +static PyObject *__pyx_n_s_get_loss; +static PyObject *__pyx_n_s_get_params; +static PyObject *__pyx_n_s_get_rng; +static PyObject *__pyx_n_s_getstate; +static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi; +static PyObject *__pyx_n_s_grad; +static PyObject *__pyx_n_s_high; +static PyObject *__pyx_n_s_i; +static PyObject *__pyx_n_s_id; +static PyObject *__pyx_n_s_idx; +static PyObject *__pyx_n_s_iid; +static PyObject *__pyx_n_s_import; +static PyObject *__pyx_n_s_indices; +static PyObject *__pyx_n_s_indptr; +static PyObject *__pyx_n_s_init; +static PyObject *__pyx_n_s_init_params; +static PyObject *__pyx_n_s_init_params_2; +static PyObject *__pyx_n_s_int; +static PyObject *__pyx_n_s_int32; +static PyObject *__pyx_n_s_intersects; +static PyObject *__pyx_n_s_is_unk_item; +static PyObject *__pyx_n_s_is_unk_user; +static PyObject *__pyx_n_s_item_aspect_count; +static PyObject *__pyx_n_s_item_aspects; +static PyObject *__pyx_n_s_item_id; +static PyObject *__pyx_kp_u_item_id_2; +static PyObject *__pyx_n_s_item_ids; +static PyObject *__pyx_n_s_item_rank; +static PyObject *__pyx_n_s_item_score; +static PyObject *__pyx_n_s_item_scores; +static PyObject *__pyx_n_s_item_sentiment; +static PyObject *__pyx_n_s_items; +static PyObject *__pyx_n_s_itemsize; +static PyObject *__pyx_kp_s_itemsize_0_for_cython_array; +static PyObject *__pyx_kp_u_iter; +static PyObject *__pyx_n_s_itertools; +static PyObject *__pyx_n_s_j; +static PyObject *__pyx_n_s_k; +static PyObject *__pyx_n_s_keys; +static PyObject *__pyx_n_s_kind; +static PyObject *__pyx_n_s_kwargs; +static PyObject *__pyx_n_s_lambda_d; +static PyObject *__pyx_n_s_lambda_h; +static PyObject *__pyx_n_s_lambda_u; +static PyObject *__pyx_n_s_lambda_v; +static PyObject *__pyx_n_s_lambda_x; +static PyObject *__pyx_n_s_lambda_y; +static PyObject *__pyx_n_s_later_indices; +static PyObject *__pyx_n_s_later_item_idx; +static PyObject *__pyx_n_s_long; +static PyObject *__pyx_kp_u_loss; +static PyObject *__pyx_kp_u_loss_2; +static PyObject *__pyx_n_s_loss_3; +static PyObject *__pyx_n_s_main; +static PyObject *__pyx_n_s_map_aspect_id; +static PyObject *__pyx_n_s_map_iid; +static PyObject *__pyx_n_s_map_uid; +static PyObject *__pyx_n_s_max; +static PyObject *__pyx_kp_u_max_2; +static PyObject *__pyx_n_s_max_iter; +static PyObject *__pyx_n_s_max_pair_freq; +static PyObject *__pyx_n_s_mean; +static PyObject *__pyx_n_s_memview; +static PyObject *__pyx_n_s_metaclass; +static PyObject *__pyx_kp_u_min; +static PyObject *__pyx_n_s_min_2; +static PyObject *__pyx_n_s_min_common_freq; +static PyObject *__pyx_n_s_min_pair_freq; +static PyObject *__pyx_n_s_min_user_freq; +static PyObject *__pyx_n_s_mode; +static PyObject *__pyx_n_s_model_type; +static PyObject *__pyx_n_s_module; +static PyObject *__pyx_n_s_monitor_value; +static PyObject *__pyx_n_s_most_cared_X; +static PyObject *__pyx_n_s_most_cared_Y; +static PyObject *__pyx_n_s_most_cared_aspects_indices; +static PyObject *__pyx_n_s_most_common; +static PyObject *__pyx_n_s_multiprocessing; +static PyObject *__pyx_n_s_name; +static PyObject *__pyx_n_s_name_2; +static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous; +static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou; +static PyObject *__pyx_n_s_ndim; +static PyObject *__pyx_n_s_new; +static PyObject *__pyx_kp_s_no_default___reduce___due_to_non; +static PyObject *__pyx_kp_u_not_dominated_pairs; +static PyObject *__pyx_n_s_not_dominated_pairs_2; +static PyObject *__pyx_n_s_np; +static PyObject *__pyx_n_s_num_aspects; +static PyObject *__pyx_n_s_num_explicit_factors; +static PyObject *__pyx_n_s_num_factors; +static PyObject *__pyx_n_s_num_items; +static PyObject *__pyx_n_s_num_latent_factors; +static PyObject *__pyx_n_s_num_most_cared_aspects; +static PyObject *__pyx_n_s_num_threads; +static PyObject *__pyx_n_s_num_users; +static PyObject *__pyx_n_s_numpy; +static PyObject *__pyx_kp_u_numpy_core_multiarray_failed_to; +static PyObject *__pyx_kp_u_numpy_core_umath_failed_to_impor; +static PyObject *__pyx_n_s_obj; +static PyObject *__pyx_n_s_ones; +static PyObject *__pyx_n_s_pack; +static PyObject *__pyx_n_s_pair_counts; +static PyObject *__pyx_n_s_pair_freq; +static PyObject *__pyx_n_s_pickle; +static PyObject *__pyx_n_s_prediction; +static PyObject *__pyx_n_s_prepare; +static PyObject *__pyx_n_s_print; +static PyObject *__pyx_n_s_pyx_PickleError; +static PyObject *__pyx_n_s_pyx_checksum; +static PyObject *__pyx_n_s_pyx_getbuffer; +static PyObject *__pyx_n_s_pyx_result; +static PyObject *__pyx_n_s_pyx_state; +static PyObject *__pyx_n_s_pyx_type; +static PyObject *__pyx_n_s_pyx_unpickle_Enum; +static PyObject *__pyx_n_s_pyx_vtable; +static PyObject *__pyx_n_s_quality_scores; +static PyObject *__pyx_n_s_qualname; +static PyObject *__pyx_n_s_random_state; +static PyObject *__pyx_n_s_range; +static PyObject *__pyx_n_s_rank; +static PyObject *__pyx_n_s_rating; +static PyObject *__pyx_n_s_rating_matrix; +static PyObject *__pyx_n_s_rating_scale; +static PyObject *__pyx_n_s_ratings; +static PyObject *__pyx_n_s_recommender; +static PyObject *__pyx_n_s_reduce; +static PyObject *__pyx_n_s_reduce_cython; +static PyObject *__pyx_n_s_reduce_ex; +static PyObject *__pyx_n_s_repeat; +static PyObject *__pyx_n_s_rng; +static PyObject *__pyx_n_s_s; +static PyObject *__pyx_n_s_scipy_sparse; +static PyObject *__pyx_n_s_score; +static PyObject *__pyx_n_s_score_i; +static PyObject *__pyx_n_s_score_j; +static PyObject *__pyx_n_s_seed; +static PyObject *__pyx_n_s_self; +static PyObject *__pyx_n_s_sentiment; +static PyObject *__pyx_n_s_sentiment_polarity; +static PyObject *__pyx_n_s_sentiment_tup_ids_by_item; +static PyObject *__pyx_n_s_sentiment_tup_ids_by_user; +static PyObject *__pyx_n_s_setstate; +static PyObject *__pyx_n_s_setstate_cython; +static PyObject *__pyx_n_s_shape; +static PyObject *__pyx_n_s_short; +static PyObject *__pyx_n_s_signatures; +static PyObject *__pyx_n_s_size; +static PyObject *__pyx_n_s_sp; +static PyObject *__pyx_n_s_split; +static PyObject *__pyx_n_s_sqrt; +static PyObject *__pyx_n_s_start; +static PyObject *__pyx_n_s_start_time; +static PyObject *__pyx_n_s_step; +static PyObject *__pyx_n_s_stop; +static PyObject *__pyx_kp_s_strided_and_direct; +static PyObject *__pyx_kp_s_strided_and_direct_or_indirect; +static PyObject *__pyx_kp_s_strided_and_indirect; +static PyObject *__pyx_kp_s_stringsource; +static PyObject *__pyx_n_s_strip; +static PyObject *__pyx_n_s_struct; +static PyObject *__pyx_n_s_sub_item_ids; +static PyObject *__pyx_n_s_sum; +static PyObject *__pyx_n_s_t; +static PyObject *__pyx_n_s_t_count; +static PyObject *__pyx_n_s_test; +static PyObject *__pyx_n_s_time; +static PyObject *__pyx_n_s_tocsc; +static PyObject *__pyx_n_s_total_sentiment; +static PyObject *__pyx_n_s_total_sentiment_by_aspect; +static PyObject *__pyx_n_s_tqdm; +static PyObject *__pyx_n_s_train_set; +static PyObject *__pyx_n_s_trainable; +static PyObject *__pyx_n_s_tup; +static PyObject *__pyx_n_s_tup_id; +static PyObject *__pyx_n_s_uid; +static PyObject *__pyx_n_s_uir_iter; +static PyObject *__pyx_kp_s_unable_to_allocate_array_data; +static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str; +static PyObject *__pyx_n_s_uniform; +static PyObject *__pyx_kp_u_unique_earlier_later_pairs; +static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd; +static PyObject *__pyx_n_s_unpack; +static PyObject *__pyx_n_s_update; +static PyObject *__pyx_n_s_use_item_aspect_popularity; +static PyObject *__pyx_n_s_use_item_pair_popularity; +static PyObject *__pyx_n_s_user_aspect_count; +static PyObject *__pyx_n_s_user_aspects; +static PyObject *__pyx_n_s_user_id; +static PyObject *__pyx_n_s_user_sentiment; +static PyObject *__pyx_n_s_utils; +static PyObject *__pyx_n_s_utils_common; +static PyObject *__pyx_n_s_utils_init_utils; +static PyObject *__pyx_n_s_val_set; +static PyObject *__pyx_n_s_validate_model_type; +static PyObject *__pyx_n_s_values; +static PyObject *__pyx_n_s_verbose; +static PyObject *__pyx_n_s_window; +static PyObject *__pyx_n_s_z; +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_model_type, PyObject *__pyx_v_num_explicit_factors, PyObject *__pyx_v_num_latent_factors, PyObject *__pyx_v_num_most_cared_aspects, PyObject *__pyx_v_rating_scale, PyObject *__pyx_v_alpha, PyObject *__pyx_v_lambda_x, PyObject *__pyx_v_lambda_y, PyObject *__pyx_v_lambda_u, PyObject *__pyx_v_lambda_h, PyObject *__pyx_v_lambda_v, PyObject *__pyx_v_lambda_d, PyObject *__pyx_v_use_item_aspect_popularity, PyObject *__pyx_v_min_user_freq, PyObject *__pyx_v_min_pair_freq, PyObject *__pyx_v_max_pair_freq, PyObject *__pyx_v_min_common_freq, PyObject *__pyx_v_enum_window, PyObject *__pyx_v_use_item_pair_popularity, PyObject *__pyx_v_max_iter, PyObject *__pyx_v_num_threads, PyObject *__pyx_v_early_stopping, PyObject *__pyx_v_trainable, PyObject *__pyx_v_verbose, PyObject *__pyx_v_init_params, PyObject *__pyx_v_seed); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_2_validate_model_type(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_self, PyObject *__pyx_v_model_type); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_4fit(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_train_set, PyObject *__pyx_v_val_set); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_6_init_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_8get_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_10_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_34_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_A_user_counts, __Pyx_memviewslice __pyx_v_A_item_counts, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_X_user_counts, __Pyx_memviewslice __pyx_v_X_aspect_counts, __Pyx_memviewslice __pyx_v_Y, __Pyx_memviewslice __pyx_v_Y_iids, __Pyx_memviewslice __pyx_v_Y_aids, __Pyx_memviewslice __pyx_v_Y_item_counts, __Pyx_memviewslice __pyx_v_Y_aspect_counts, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_36_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_A_user_counts, __Pyx_memviewslice __pyx_v_A_item_counts, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_X_user_counts, __Pyx_memviewslice __pyx_v_X_aspect_counts, __Pyx_memviewslice __pyx_v_Y, __Pyx_memviewslice __pyx_v_Y_iids, __Pyx_memviewslice __pyx_v_Y_aids, __Pyx_memviewslice __pyx_v_Y_item_counts, __Pyx_memviewslice __pyx_v_Y_aspect_counts, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_38_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_A_user_counts, __Pyx_memviewslice __pyx_v_A_item_counts, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_X_user_counts, __Pyx_memviewslice __pyx_v_X_aspect_counts, __Pyx_memviewslice __pyx_v_Y, __Pyx_memviewslice __pyx_v_Y_iids, __Pyx_memviewslice __pyx_v_Y_aids, __Pyx_memviewslice __pyx_v_Y_item_counts, __Pyx_memviewslice __pyx_v_Y_aspect_counts, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_40_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_A_user_counts, __Pyx_memviewslice __pyx_v_A_item_counts, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_X_user_counts, __Pyx_memviewslice __pyx_v_X_aspect_counts, __Pyx_memviewslice __pyx_v_Y, __Pyx_memviewslice __pyx_v_Y_iids, __Pyx_memviewslice __pyx_v_Y_aids, __Pyx_memviewslice __pyx_v_Y_item_counts, __Pyx_memviewslice __pyx_v_Y_aspect_counts, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_42_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_A_user_counts, __Pyx_memviewslice __pyx_v_A_item_counts, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_X_user_counts, __Pyx_memviewslice __pyx_v_X_aspect_counts, __Pyx_memviewslice __pyx_v_Y, __Pyx_memviewslice __pyx_v_Y_iids, __Pyx_memviewslice __pyx_v_Y_aids, __Pyx_memviewslice __pyx_v_Y_item_counts, __Pyx_memviewslice __pyx_v_Y_aspect_counts, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_44_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_A_user_counts, __Pyx_memviewslice __pyx_v_A_item_counts, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_X_user_counts, __Pyx_memviewslice __pyx_v_X_aspect_counts, __Pyx_memviewslice __pyx_v_Y, __Pyx_memviewslice __pyx_v_Y_iids, __Pyx_memviewslice __pyx_v_Y_aids, __Pyx_memviewslice __pyx_v_Y_item_counts, __Pyx_memviewslice __pyx_v_Y_aspect_counts, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_12_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_48_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_50_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_52_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_54_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_56_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_58_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_14_build_rating_matrix(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_data_set); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_16_build_chrono_purchased_pairs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_data_set, PyObject *__pyx_v_Y); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_18_build_user_attention_matrix(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v_data_set, PyObject *__pyx_v_sentiment); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_20_build_item_quality_matrix(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v_data_set, PyObject *__pyx_v_sentiment); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_22_build_matrices(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_data_set); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_24_compute_attention_score(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_count); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_26_compute_quality_score(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_sentiment); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_28monitor_value(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_30score(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_user_id, PyObject *__pyx_v_item_id); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_32rank(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_user_id, PyObject *__pyx_v_item_ids); /* proto */ +static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ +static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ +static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ +static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */ +static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ +static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */ +static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */ +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */ +static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */ +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */ +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ +static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject *__pyx_v___pyx_state); /* proto */ +static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_float_0_9; +static PyObject *__pyx_float_1e9; +static PyObject *__pyx_float_5_0; +static PyObject *__pyx_float_0_01; +static PyObject *__pyx_int_0; +static PyObject *__pyx_int_1; +static PyObject *__pyx_int_2; +static PyObject *__pyx_int_10; +static PyObject *__pyx_int_26; +static PyObject *__pyx_int_100; +static PyObject *__pyx_int_128; +static PyObject *__pyx_int_1000; +static PyObject *__pyx_int_184977713; +static PyObject *__pyx_int_neg_1; +static PyObject *__pyx_slice__9; +static PyObject *__pyx_tuple__3; +static PyObject *__pyx_tuple__4; +static PyObject *__pyx_tuple__5; +static PyObject *__pyx_tuple__8; +static PyObject *__pyx_slice__10; +static PyObject *__pyx_tuple__11; +static PyObject *__pyx_tuple__12; +static PyObject *__pyx_tuple__13; +static PyObject *__pyx_tuple__14; +static PyObject *__pyx_tuple__15; +static PyObject *__pyx_tuple__16; +static PyObject *__pyx_tuple__17; +static PyObject *__pyx_tuple__18; +static PyObject *__pyx_tuple__19; +static PyObject *__pyx_tuple__20; +static PyObject *__pyx_tuple__21; +static PyObject *__pyx_tuple__22; +static PyObject *__pyx_tuple__23; +static PyObject *__pyx_tuple__24; +static PyObject *__pyx_tuple__25; +static PyObject *__pyx_tuple__26; +static PyObject *__pyx_tuple__27; +static PyObject *__pyx_tuple__28; +static PyObject *__pyx_tuple__29; +static PyObject *__pyx_tuple__30; +static PyObject *__pyx_tuple__31; +static PyObject *__pyx_tuple__32; +static PyObject *__pyx_tuple__33; +static PyObject *__pyx_tuple__34; +static PyObject *__pyx_tuple__36; +static PyObject *__pyx_tuple__38; +static PyObject *__pyx_tuple__39; +static PyObject *__pyx_tuple__41; +static PyObject *__pyx_tuple__43; +static PyObject *__pyx_tuple__44; +static PyObject *__pyx_tuple__46; +static PyObject *__pyx_tuple__48; +static PyObject *__pyx_tuple__50; +static PyObject *__pyx_tuple__52; +static PyObject *__pyx_tuple__55; +static PyObject *__pyx_tuple__57; +static PyObject *__pyx_tuple__59; +static PyObject *__pyx_tuple__61; +static PyObject *__pyx_tuple__63; +static PyObject *__pyx_tuple__65; +static PyObject *__pyx_tuple__67; +static PyObject *__pyx_tuple__69; +static PyObject *__pyx_tuple__71; +static PyObject *__pyx_tuple__72; +static PyObject *__pyx_tuple__74; +static PyObject *__pyx_tuple__75; +static PyObject *__pyx_tuple__76; +static PyObject *__pyx_tuple__77; +static PyObject *__pyx_tuple__78; +static PyObject *__pyx_tuple__79; +static PyObject *__pyx_tuple__80; +static PyObject *__pyx_codeobj__37; +static PyObject *__pyx_codeobj__40; +static PyObject *__pyx_codeobj__42; +static PyObject *__pyx_codeobj__45; +static PyObject *__pyx_codeobj__47; +static PyObject *__pyx_codeobj__49; +static PyObject *__pyx_codeobj__51; +static PyObject *__pyx_codeobj__53; +static PyObject *__pyx_codeobj__56; +static PyObject *__pyx_codeobj__58; +static PyObject *__pyx_codeobj__60; +static PyObject *__pyx_codeobj__62; +static PyObject *__pyx_codeobj__64; +static PyObject *__pyx_codeobj__66; +static PyObject *__pyx_codeobj__68; +static PyObject *__pyx_codeobj__70; +static PyObject *__pyx_codeobj__73; +static PyObject *__pyx_codeobj__81; +/* Late includes */ + +/* "cornac/models/comparer/recom_comparer_obj.pyx":37 + * + * + * cdef floating _dot(int n, floating *x, int incx, # <<<<<<<<<<<<<< + * floating *y, int incy) nogil: + * if floating is float: + */ + +static float __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(int __pyx_v_n, float *__pyx_v_x, int __pyx_v_incx, float *__pyx_v_y, int __pyx_v_incy) { + float __pyx_r; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":40 + * floating *y, int incy) nogil: + * if floating is float: + * return sdot(&n, x, &incx, y, &incy) # <<<<<<<<<<<<<< + * else: + * return ddot(&n, x, &incx, y, &incy) + */ + __pyx_r = __pyx_f_5scipy_6linalg_11cython_blas_sdot((&__pyx_v_n), __pyx_v_x, (&__pyx_v_incx), __pyx_v_y, (&__pyx_v_incy)); + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":37 + * + * + * cdef floating _dot(int n, floating *x, int incx, # <<<<<<<<<<<<<< + * floating *y, int incy) nogil: + * if floating is float: + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +static double __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(int __pyx_v_n, double *__pyx_v_x, int __pyx_v_incx, double *__pyx_v_y, int __pyx_v_incy) { + double __pyx_r; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":42 + * return sdot(&n, x, &incx, y, &incy) + * else: + * return ddot(&n, x, &incx, y, &incy) # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = __pyx_f_5scipy_6linalg_11cython_blas_ddot((&__pyx_v_n), __pyx_v_x, (&__pyx_v_incx), __pyx_v_y, (&__pyx_v_incy)); + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":37 + * + * + * cdef floating _dot(int n, floating *x, int incx, # <<<<<<<<<<<<<< + * floating *y, int incy) nogil: + * if floating is float: + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":136 + * """ + * + * def __init__(self, name="ComparERObj", # <<<<<<<<<<<<<< + * model_type="Finer", + * num_explicit_factors=128, num_latent_factors=128, num_most_cared_aspects=100, + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_1__init__(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_1__init__ = {"__init__", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_1__init__, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_1__init__(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_name = 0; + PyObject *__pyx_v_model_type = 0; + PyObject *__pyx_v_num_explicit_factors = 0; + PyObject *__pyx_v_num_latent_factors = 0; + PyObject *__pyx_v_num_most_cared_aspects = 0; + PyObject *__pyx_v_rating_scale = 0; + PyObject *__pyx_v_alpha = 0; + PyObject *__pyx_v_lambda_x = 0; + PyObject *__pyx_v_lambda_y = 0; + PyObject *__pyx_v_lambda_u = 0; + PyObject *__pyx_v_lambda_h = 0; + PyObject *__pyx_v_lambda_v = 0; + PyObject *__pyx_v_lambda_d = 0; + PyObject *__pyx_v_use_item_aspect_popularity = 0; + PyObject *__pyx_v_min_user_freq = 0; + PyObject *__pyx_v_min_pair_freq = 0; + PyObject *__pyx_v_max_pair_freq = 0; + PyObject *__pyx_v_min_common_freq = 0; + PyObject *__pyx_v_enum_window = 0; + PyObject *__pyx_v_use_item_pair_popularity = 0; + PyObject *__pyx_v_max_iter = 0; + PyObject *__pyx_v_num_threads = 0; + PyObject *__pyx_v_early_stopping = 0; + PyObject *__pyx_v_trainable = 0; + PyObject *__pyx_v_verbose = 0; + PyObject *__pyx_v_init_params = 0; + PyObject *__pyx_v_seed = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__init__ (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_name,&__pyx_n_s_model_type,&__pyx_n_s_num_explicit_factors,&__pyx_n_s_num_latent_factors,&__pyx_n_s_num_most_cared_aspects,&__pyx_n_s_rating_scale,&__pyx_n_s_alpha,&__pyx_n_s_lambda_x,&__pyx_n_s_lambda_y,&__pyx_n_s_lambda_u,&__pyx_n_s_lambda_h,&__pyx_n_s_lambda_v,&__pyx_n_s_lambda_d,&__pyx_n_s_use_item_aspect_popularity,&__pyx_n_s_min_user_freq,&__pyx_n_s_min_pair_freq,&__pyx_n_s_max_pair_freq,&__pyx_n_s_min_common_freq,&__pyx_n_s_enum_window,&__pyx_n_s_use_item_pair_popularity,&__pyx_n_s_max_iter,&__pyx_n_s_num_threads,&__pyx_n_s_early_stopping,&__pyx_n_s_trainable,&__pyx_n_s_verbose,&__pyx_n_s_init_params,&__pyx_n_s_seed,0}; + PyObject* values[28] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + values[1] = ((PyObject *)((PyObject*)__pyx_n_u_ComparERObj)); + values[2] = ((PyObject *)((PyObject*)__pyx_n_u_Finer)); + values[3] = ((PyObject *)((PyObject *)__pyx_int_128)); + values[4] = ((PyObject *)((PyObject *)__pyx_int_128)); + values[5] = ((PyObject *)((PyObject *)__pyx_int_100)); + values[6] = ((PyObject *)((PyObject*)__pyx_float_5_0)); + values[7] = ((PyObject *)((PyObject*)__pyx_float_0_9)); + values[8] = ((PyObject *)((PyObject *)__pyx_int_1)); + values[9] = ((PyObject *)((PyObject *)__pyx_int_1)); + values[10] = ((PyObject *)((PyObject*)__pyx_float_0_01)); + values[11] = ((PyObject *)((PyObject*)__pyx_float_0_01)); + values[12] = ((PyObject *)((PyObject*)__pyx_float_0_01)); + values[13] = ((PyObject *)((PyObject*)__pyx_float_0_01)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":141 + * rating_scale=5.0, alpha=0.9, + * lambda_x=1, lambda_y=1, lambda_u=0.01, lambda_h=0.01, lambda_v=0.01, lambda_d=0.01, + * use_item_aspect_popularity=True, # <<<<<<<<<<<<<< + * min_user_freq=2, + * min_pair_freq=1, + */ + values[14] = ((PyObject *)((PyObject *)Py_True)); + values[15] = ((PyObject *)((PyObject *)__pyx_int_2)); + values[16] = ((PyObject *)((PyObject *)__pyx_int_1)); + values[17] = ((PyObject *)((PyObject*)__pyx_float_1e9)); + values[18] = ((PyObject *)((PyObject *)__pyx_int_1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":146 + * max_pair_freq=1e9, + * min_common_freq=1, + * enum_window=None, # <<<<<<<<<<<<<< + * use_item_pair_popularity=True, + * max_iter=1000, + */ + values[19] = ((PyObject *)((PyObject *)Py_None)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":147 + * min_common_freq=1, + * enum_window=None, + * use_item_pair_popularity=True, # <<<<<<<<<<<<<< + * max_iter=1000, + * num_threads=0, + */ + values[20] = ((PyObject *)((PyObject *)Py_True)); + values[21] = ((PyObject *)((PyObject *)__pyx_int_1000)); + values[22] = ((PyObject *)((PyObject *)__pyx_int_0)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":150 + * max_iter=1000, + * num_threads=0, + * early_stopping=None, trainable=True, verbose=False, init_params=None, seed=None): # <<<<<<<<<<<<<< + * + * Recommender.__init__(self, name=name, trainable=trainable, verbose=verbose) + */ + values[23] = ((PyObject *)((PyObject *)Py_None)); + values[24] = ((PyObject *)((PyObject *)Py_True)); + values[25] = ((PyObject *)((PyObject *)Py_False)); + values[26] = ((PyObject *)((PyObject *)Py_None)); + values[27] = ((PyObject *)((PyObject *)Py_None)); + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 28: values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + CYTHON_FALLTHROUGH; + case 27: values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + CYTHON_FALLTHROUGH; + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_name); + if (value) { values[1] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 2: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_model_type); + if (value) { values[2] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 3: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_explicit_factors); + if (value) { values[3] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 4: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_latent_factors); + if (value) { values[4] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 5: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_most_cared_aspects); + if (value) { values[5] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 6: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rating_scale); + if (value) { values[6] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 7: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_alpha); + if (value) { values[7] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 8: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_lambda_x); + if (value) { values[8] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 9: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_lambda_y); + if (value) { values[9] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 10: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_lambda_u); + if (value) { values[10] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 11: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_lambda_h); + if (value) { values[11] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 12: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_lambda_v); + if (value) { values[12] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 13: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_lambda_d); + if (value) { values[13] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 14: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_use_item_aspect_popularity); + if (value) { values[14] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 15: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_min_user_freq); + if (value) { values[15] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 16: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_min_pair_freq); + if (value) { values[16] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 17: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_max_pair_freq); + if (value) { values[17] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 18: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_min_common_freq); + if (value) { values[18] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 19: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_enum_window); + if (value) { values[19] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 20: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_use_item_pair_popularity); + if (value) { values[20] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 21: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_max_iter); + if (value) { values[21] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 22: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads); + if (value) { values[22] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 23: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_early_stopping); + if (value) { values[23] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 24: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_trainable); + if (value) { values[24] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 25: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_verbose); + if (value) { values[25] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 26: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_init_params); + if (value) { values[26] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 27: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_seed); + if (value) { values[27] = value; kw_args--; } + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__init__") < 0)) __PYX_ERR(0, 136, __pyx_L3_error) + } + } else { + switch (PyTuple_GET_SIZE(__pyx_args)) { + case 28: values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + CYTHON_FALLTHROUGH; + case 27: values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + CYTHON_FALLTHROUGH; + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + break; + default: goto __pyx_L5_argtuple_error; + } + } + __pyx_v_self = values[0]; + __pyx_v_name = values[1]; + __pyx_v_model_type = values[2]; + __pyx_v_num_explicit_factors = values[3]; + __pyx_v_num_latent_factors = values[4]; + __pyx_v_num_most_cared_aspects = values[5]; + __pyx_v_rating_scale = values[6]; + __pyx_v_alpha = values[7]; + __pyx_v_lambda_x = values[8]; + __pyx_v_lambda_y = values[9]; + __pyx_v_lambda_u = values[10]; + __pyx_v_lambda_h = values[11]; + __pyx_v_lambda_v = values[12]; + __pyx_v_lambda_d = values[13]; + __pyx_v_use_item_aspect_popularity = values[14]; + __pyx_v_min_user_freq = values[15]; + __pyx_v_min_pair_freq = values[16]; + __pyx_v_max_pair_freq = values[17]; + __pyx_v_min_common_freq = values[18]; + __pyx_v_enum_window = values[19]; + __pyx_v_use_item_pair_popularity = values[20]; + __pyx_v_max_iter = values[21]; + __pyx_v_num_threads = values[22]; + __pyx_v_early_stopping = values[23]; + __pyx_v_trainable = values[24]; + __pyx_v_verbose = values[25]; + __pyx_v_init_params = values[26]; + __pyx_v_seed = values[27]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__init__", 0, 1, 28, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 136, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj___init__(__pyx_self, __pyx_v_self, __pyx_v_name, __pyx_v_model_type, __pyx_v_num_explicit_factors, __pyx_v_num_latent_factors, __pyx_v_num_most_cared_aspects, __pyx_v_rating_scale, __pyx_v_alpha, __pyx_v_lambda_x, __pyx_v_lambda_y, __pyx_v_lambda_u, __pyx_v_lambda_h, __pyx_v_lambda_v, __pyx_v_lambda_d, __pyx_v_use_item_aspect_popularity, __pyx_v_min_user_freq, __pyx_v_min_pair_freq, __pyx_v_max_pair_freq, __pyx_v_min_common_freq, __pyx_v_enum_window, __pyx_v_use_item_pair_popularity, __pyx_v_max_iter, __pyx_v_num_threads, __pyx_v_early_stopping, __pyx_v_trainable, __pyx_v_verbose, __pyx_v_init_params, __pyx_v_seed); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":136 + * """ + * + * def __init__(self, name="ComparERObj", # <<<<<<<<<<<<<< + * model_type="Finer", + * num_explicit_factors=128, num_latent_factors=128, num_most_cared_aspects=100, + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_model_type, PyObject *__pyx_v_num_explicit_factors, PyObject *__pyx_v_num_latent_factors, PyObject *__pyx_v_num_most_cared_aspects, PyObject *__pyx_v_rating_scale, PyObject *__pyx_v_alpha, PyObject *__pyx_v_lambda_x, PyObject *__pyx_v_lambda_y, PyObject *__pyx_v_lambda_u, PyObject *__pyx_v_lambda_h, PyObject *__pyx_v_lambda_v, PyObject *__pyx_v_lambda_d, PyObject *__pyx_v_use_item_aspect_popularity, PyObject *__pyx_v_min_user_freq, PyObject *__pyx_v_min_pair_freq, PyObject *__pyx_v_max_pair_freq, PyObject *__pyx_v_min_common_freq, PyObject *__pyx_v_enum_window, PyObject *__pyx_v_use_item_pair_popularity, PyObject *__pyx_v_max_iter, PyObject *__pyx_v_num_threads, PyObject *__pyx_v_early_stopping, PyObject *__pyx_v_trainable, PyObject *__pyx_v_verbose, PyObject *__pyx_v_init_params, PyObject *__pyx_v_seed) { + PyObject *__pyx_v_multiprocessing = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + int __pyx_t_5; + int __pyx_t_6; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__init__", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":152 + * early_stopping=None, trainable=True, verbose=False, init_params=None, seed=None): + * + * Recommender.__init__(self, name=name, trainable=trainable, verbose=verbose) # <<<<<<<<<<<<<< + * self.model_type = self._validate_model_type(model_type) + * self.num_explicit_factors = num_explicit_factors + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_Recommender); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 152, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_init); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 152, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 152, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_self); + __Pyx_GIVEREF(__pyx_v_self); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_self); + __pyx_t_3 = __Pyx_PyDict_NewPresized(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 152, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_name, __pyx_v_name) < 0) __PYX_ERR(0, 152, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_trainable, __pyx_v_trainable) < 0) __PYX_ERR(0, 152, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_verbose, __pyx_v_verbose) < 0) __PYX_ERR(0, 152, __pyx_L1_error) + __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_1, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 152, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":153 + * + * Recommender.__init__(self, name=name, trainable=trainable, verbose=verbose) + * self.model_type = self._validate_model_type(model_type) # <<<<<<<<<<<<<< + * self.num_explicit_factors = num_explicit_factors + * self.num_latent_factors = num_latent_factors + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_validate_model_type); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 153, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_4 = (__pyx_t_1) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_1, __pyx_v_model_type) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_v_model_type); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 153, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_model_type, __pyx_t_4) < 0) __PYX_ERR(0, 153, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":154 + * Recommender.__init__(self, name=name, trainable=trainable, verbose=verbose) + * self.model_type = self._validate_model_type(model_type) + * self.num_explicit_factors = num_explicit_factors # <<<<<<<<<<<<<< + * self.num_latent_factors = num_latent_factors + * self.num_most_cared_aspects = num_most_cared_aspects + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors, __pyx_v_num_explicit_factors) < 0) __PYX_ERR(0, 154, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":155 + * self.model_type = self._validate_model_type(model_type) + * self.num_explicit_factors = num_explicit_factors + * self.num_latent_factors = num_latent_factors # <<<<<<<<<<<<<< + * self.num_most_cared_aspects = num_most_cared_aspects + * self.rating_scale = rating_scale + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors, __pyx_v_num_latent_factors) < 0) __PYX_ERR(0, 155, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":156 + * self.num_explicit_factors = num_explicit_factors + * self.num_latent_factors = num_latent_factors + * self.num_most_cared_aspects = num_most_cared_aspects # <<<<<<<<<<<<<< + * self.rating_scale = rating_scale + * self.alpha = alpha + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_num_most_cared_aspects, __pyx_v_num_most_cared_aspects) < 0) __PYX_ERR(0, 156, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":157 + * self.num_latent_factors = num_latent_factors + * self.num_most_cared_aspects = num_most_cared_aspects + * self.rating_scale = rating_scale # <<<<<<<<<<<<<< + * self.alpha = alpha + * self.lambda_x = lambda_x + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_rating_scale, __pyx_v_rating_scale) < 0) __PYX_ERR(0, 157, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":158 + * self.num_most_cared_aspects = num_most_cared_aspects + * self.rating_scale = rating_scale + * self.alpha = alpha # <<<<<<<<<<<<<< + * self.lambda_x = lambda_x + * self.lambda_y = lambda_y + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_alpha, __pyx_v_alpha) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":159 + * self.rating_scale = rating_scale + * self.alpha = alpha + * self.lambda_x = lambda_x # <<<<<<<<<<<<<< + * self.lambda_y = lambda_y + * self.lambda_u = lambda_u + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_lambda_x, __pyx_v_lambda_x) < 0) __PYX_ERR(0, 159, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":160 + * self.alpha = alpha + * self.lambda_x = lambda_x + * self.lambda_y = lambda_y # <<<<<<<<<<<<<< + * self.lambda_u = lambda_u + * self.lambda_h = lambda_h + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_lambda_y, __pyx_v_lambda_y) < 0) __PYX_ERR(0, 160, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":161 + * self.lambda_x = lambda_x + * self.lambda_y = lambda_y + * self.lambda_u = lambda_u # <<<<<<<<<<<<<< + * self.lambda_h = lambda_h + * self.lambda_v = lambda_v + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_lambda_u, __pyx_v_lambda_u) < 0) __PYX_ERR(0, 161, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":162 + * self.lambda_y = lambda_y + * self.lambda_u = lambda_u + * self.lambda_h = lambda_h # <<<<<<<<<<<<<< + * self.lambda_v = lambda_v + * self.lambda_d = lambda_d + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_lambda_h, __pyx_v_lambda_h) < 0) __PYX_ERR(0, 162, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":163 + * self.lambda_u = lambda_u + * self.lambda_h = lambda_h + * self.lambda_v = lambda_v # <<<<<<<<<<<<<< + * self.lambda_d = lambda_d + * self.min_user_freq = min_user_freq + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_lambda_v, __pyx_v_lambda_v) < 0) __PYX_ERR(0, 163, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":164 + * self.lambda_h = lambda_h + * self.lambda_v = lambda_v + * self.lambda_d = lambda_d # <<<<<<<<<<<<<< + * self.min_user_freq = min_user_freq + * self.min_pair_freq = min_pair_freq + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d, __pyx_v_lambda_d) < 0) __PYX_ERR(0, 164, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":165 + * self.lambda_v = lambda_v + * self.lambda_d = lambda_d + * self.min_user_freq = min_user_freq # <<<<<<<<<<<<<< + * self.min_pair_freq = min_pair_freq + * self.max_pair_freq = max_pair_freq + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_min_user_freq, __pyx_v_min_user_freq) < 0) __PYX_ERR(0, 165, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":166 + * self.lambda_d = lambda_d + * self.min_user_freq = min_user_freq + * self.min_pair_freq = min_pair_freq # <<<<<<<<<<<<<< + * self.max_pair_freq = max_pair_freq + * self.min_common_freq = min_common_freq + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_min_pair_freq, __pyx_v_min_pair_freq) < 0) __PYX_ERR(0, 166, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":167 + * self.min_user_freq = min_user_freq + * self.min_pair_freq = min_pair_freq + * self.max_pair_freq = max_pair_freq # <<<<<<<<<<<<<< + * self.min_common_freq = min_common_freq + * self.enum_window = enum_window + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_max_pair_freq, __pyx_v_max_pair_freq) < 0) __PYX_ERR(0, 167, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":168 + * self.min_pair_freq = min_pair_freq + * self.max_pair_freq = max_pair_freq + * self.min_common_freq = min_common_freq # <<<<<<<<<<<<<< + * self.enum_window = enum_window + * self.use_item_aspect_popularity = use_item_aspect_popularity + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_min_common_freq, __pyx_v_min_common_freq) < 0) __PYX_ERR(0, 168, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":169 + * self.max_pair_freq = max_pair_freq + * self.min_common_freq = min_common_freq + * self.enum_window = enum_window # <<<<<<<<<<<<<< + * self.use_item_aspect_popularity = use_item_aspect_popularity + * self.use_item_pair_popularity = use_item_pair_popularity + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_enum_window, __pyx_v_enum_window) < 0) __PYX_ERR(0, 169, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":170 + * self.min_common_freq = min_common_freq + * self.enum_window = enum_window + * self.use_item_aspect_popularity = use_item_aspect_popularity # <<<<<<<<<<<<<< + * self.use_item_pair_popularity = use_item_pair_popularity + * self.max_iter = max_iter + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_use_item_aspect_popularity, __pyx_v_use_item_aspect_popularity) < 0) __PYX_ERR(0, 170, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":171 + * self.enum_window = enum_window + * self.use_item_aspect_popularity = use_item_aspect_popularity + * self.use_item_pair_popularity = use_item_pair_popularity # <<<<<<<<<<<<<< + * self.max_iter = max_iter + * self.early_stopping = early_stopping + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_use_item_pair_popularity, __pyx_v_use_item_pair_popularity) < 0) __PYX_ERR(0, 171, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":172 + * self.use_item_aspect_popularity = use_item_aspect_popularity + * self.use_item_pair_popularity = use_item_pair_popularity + * self.max_iter = max_iter # <<<<<<<<<<<<<< + * self.early_stopping = early_stopping + * self.init_params = {} if init_params is None else init_params + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_max_iter, __pyx_v_max_iter) < 0) __PYX_ERR(0, 172, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":173 + * self.use_item_pair_popularity = use_item_pair_popularity + * self.max_iter = max_iter + * self.early_stopping = early_stopping # <<<<<<<<<<<<<< + * self.init_params = {} if init_params is None else init_params + * self.seed = seed + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping, __pyx_v_early_stopping) < 0) __PYX_ERR(0, 173, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":174 + * self.max_iter = max_iter + * self.early_stopping = early_stopping + * self.init_params = {} if init_params is None else init_params # <<<<<<<<<<<<<< + * self.seed = seed + * import multiprocessing + */ + __pyx_t_5 = (__pyx_v_init_params == Py_None); + if ((__pyx_t_5 != 0)) { + __pyx_t_3 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 174, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __pyx_t_3; + __pyx_t_3 = 0; + } else { + __Pyx_INCREF(__pyx_v_init_params); + __pyx_t_4 = __pyx_v_init_params; + } + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_init_params, __pyx_t_4) < 0) __PYX_ERR(0, 174, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":175 + * self.early_stopping = early_stopping + * self.init_params = {} if init_params is None else init_params + * self.seed = seed # <<<<<<<<<<<<<< + * import multiprocessing + * if seed is not None: + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_seed, __pyx_v_seed) < 0) __PYX_ERR(0, 175, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":176 + * self.init_params = {} if init_params is None else init_params + * self.seed = seed + * import multiprocessing # <<<<<<<<<<<<<< + * if seed is not None: + * self.num_threads = 1 + */ + __pyx_t_4 = __Pyx_Import(__pyx_n_s_multiprocessing, 0, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 176, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_v_multiprocessing = __pyx_t_4; + __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":177 + * self.seed = seed + * import multiprocessing + * if seed is not None: # <<<<<<<<<<<<<< + * self.num_threads = 1 + * elif num_threads > 0 and num_threads < multiprocessing.cpu_count(): + */ + __pyx_t_5 = (__pyx_v_seed != Py_None); + __pyx_t_6 = (__pyx_t_5 != 0); + if (__pyx_t_6) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":178 + * import multiprocessing + * if seed is not None: + * self.num_threads = 1 # <<<<<<<<<<<<<< + * elif num_threads > 0 and num_threads < multiprocessing.cpu_count(): + * self.num_threads = num_threads + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_num_threads, __pyx_int_1) < 0) __PYX_ERR(0, 178, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":177 + * self.seed = seed + * import multiprocessing + * if seed is not None: # <<<<<<<<<<<<<< + * self.num_threads = 1 + * elif num_threads > 0 and num_threads < multiprocessing.cpu_count(): + */ + goto __pyx_L3; + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":179 + * if seed is not None: + * self.num_threads = 1 + * elif num_threads > 0 and num_threads < multiprocessing.cpu_count(): # <<<<<<<<<<<<<< + * self.num_threads = num_threads + * else: + */ + __pyx_t_4 = PyObject_RichCompare(__pyx_v_num_threads, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 179, __pyx_L1_error) + __pyx_t_5 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_5 < 0)) __PYX_ERR(0, 179, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_5) { + } else { + __pyx_t_6 = __pyx_t_5; + goto __pyx_L4_bool_binop_done; + } + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_multiprocessing, __pyx_n_s_cpu_count); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 179, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_4 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 179, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyObject_RichCompare(__pyx_v_num_threads, __pyx_t_4, Py_LT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 179, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_5 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_5 < 0)) __PYX_ERR(0, 179, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __pyx_t_5; + __pyx_L4_bool_binop_done:; + if (__pyx_t_6) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":180 + * self.num_threads = 1 + * elif num_threads > 0 and num_threads < multiprocessing.cpu_count(): + * self.num_threads = num_threads # <<<<<<<<<<<<<< + * else: + * self.num_threads = multiprocessing.cpu_count() + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_num_threads, __pyx_v_num_threads) < 0) __PYX_ERR(0, 180, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":179 + * if seed is not None: + * self.num_threads = 1 + * elif num_threads > 0 and num_threads < multiprocessing.cpu_count(): # <<<<<<<<<<<<<< + * self.num_threads = num_threads + * else: + */ + goto __pyx_L3; + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":182 + * self.num_threads = num_threads + * else: + * self.num_threads = multiprocessing.cpu_count() # <<<<<<<<<<<<<< + * + * def _validate_model_type(self, model_type): + */ + /*else*/ { + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_multiprocessing, __pyx_n_s_cpu_count); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 182, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + } + } + __pyx_t_3 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 182, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_num_threads, __pyx_t_3) < 0) __PYX_ERR(0, 182, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } + __pyx_L3:; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":136 + * """ + * + * def __init__(self, name="ComparERObj", # <<<<<<<<<<<<<< + * model_type="Finer", + * num_explicit_factors=128, num_latent_factors=128, num_most_cared_aspects=100, + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_multiprocessing); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":184 + * self.num_threads = multiprocessing.cpu_count() + * + * def _validate_model_type(self, model_type): # <<<<<<<<<<<<<< + * if model_type not in MODEL_TYPES: + * raise ValueError('Invalid model type: {}\n' + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_3_validate_model_type(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_3_validate_model_type = {"_validate_model_type", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_3_validate_model_type, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_3_validate_model_type(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + CYTHON_UNUSED PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_model_type = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_validate_model_type (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_model_type,0}; + PyObject* values[2] = {0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_model_type)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_validate_model_type", 1, 2, 2, 1); __PYX_ERR(0, 184, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_validate_model_type") < 0)) __PYX_ERR(0, 184, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 2) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + } + __pyx_v_self = values[0]; + __pyx_v_model_type = values[1]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_validate_model_type", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 184, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._validate_model_type", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_2_validate_model_type(__pyx_self, __pyx_v_self, __pyx_v_model_type); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_2_validate_model_type(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_self, PyObject *__pyx_v_model_type) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + int __pyx_t_3; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + int __pyx_t_8; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_validate_model_type", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":185 + * + * def _validate_model_type(self, model_type): + * if model_type not in MODEL_TYPES: # <<<<<<<<<<<<<< + * raise ValueError('Invalid model type: {}\n' + * 'Only support: {}'.format(model_type, MODEL_TYPES.keys())) + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 185, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = (__Pyx_PySequence_ContainsTF(__pyx_v_model_type, __pyx_t_1, Py_NE)); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 185, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = (__pyx_t_2 != 0); + if (unlikely(__pyx_t_3)) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":187 + * if model_type not in MODEL_TYPES: + * raise ValueError('Invalid model type: {}\n' + * 'Only support: {}'.format(model_type, MODEL_TYPES.keys())) # <<<<<<<<<<<<<< + * return MODEL_TYPES[model_type] + * + */ + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_kp_u_Invalid_model_type_Only_support, __pyx_n_s_format); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 187, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_GetModuleGlobalName(__pyx_t_6, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 187, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_keys); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 187, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_7))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_7); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_7, function); + } + } + __pyx_t_5 = (__pyx_t_6) ? __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_6) : __Pyx_PyObject_CallNoArg(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 187, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = NULL; + __pyx_t_8 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_7)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_7); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + __pyx_t_8 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_4)) { + PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_v_model_type, __pyx_t_5}; + __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 187, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) { + PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_v_model_type, __pyx_t_5}; + __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 187, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + } else + #endif + { + __pyx_t_6 = PyTuple_New(2+__pyx_t_8); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 187, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + if (__pyx_t_7) { + __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); __pyx_t_7 = NULL; + } + __Pyx_INCREF(__pyx_v_model_type); + __Pyx_GIVEREF(__pyx_v_model_type); + PyTuple_SET_ITEM(__pyx_t_6, 0+__pyx_t_8, __pyx_v_model_type); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_6, 1+__pyx_t_8, __pyx_t_5); + __pyx_t_5 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 187, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":186 + * def _validate_model_type(self, model_type): + * if model_type not in MODEL_TYPES: + * raise ValueError('Invalid model type: {}\n' # <<<<<<<<<<<<<< + * 'Only support: {}'.format(model_type, MODEL_TYPES.keys())) + * return MODEL_TYPES[model_type] + */ + __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 186, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_Raise(__pyx_t_4, 0, 0, 0); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __PYX_ERR(0, 186, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":185 + * + * def _validate_model_type(self, model_type): + * if model_type not in MODEL_TYPES: # <<<<<<<<<<<<<< + * raise ValueError('Invalid model type: {}\n' + * 'Only support: {}'.format(model_type, MODEL_TYPES.keys())) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":188 + * raise ValueError('Invalid model type: {}\n' + * 'Only support: {}'.format(model_type, MODEL_TYPES.keys())) + * return MODEL_TYPES[model_type] # <<<<<<<<<<<<<< + * + * def fit(self, train_set, val_set=None): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 188, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_1 = __Pyx_PyObject_GetItem(__pyx_t_4, __pyx_v_model_type); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 188, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":184 + * self.num_threads = multiprocessing.cpu_count() + * + * def _validate_model_type(self, model_type): # <<<<<<<<<<<<<< + * if model_type not in MODEL_TYPES: + * raise ValueError('Invalid model type: {}\n' + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._validate_model_type", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":190 + * return MODEL_TYPES[model_type] + * + * def fit(self, train_set, val_set=None): # <<<<<<<<<<<<<< + * """Fit the model to observations. + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_5fit(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static char __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_4fit[] = "Fit the model to observations.\n\n Parameters\n ----------\n train_set: :obj:`cornac.data.Dataset`, required\n User-Item preference data as well as additional modalities.\n\n val_set: :obj:`cornac.data.Dataset`, optional, default: None\n User-Item preference data for model selection purposes (e.g., early stopping).\n\n Returns\n -------\n self : object\n "; +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_5fit = {"fit", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_5fit, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_4fit}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_5fit(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_train_set = 0; + PyObject *__pyx_v_val_set = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("fit (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_train_set,&__pyx_n_s_val_set,0}; + PyObject* values[3] = {0,0,0}; + values[2] = ((PyObject *)((PyObject *)Py_None)); + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_train_set)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("fit", 0, 2, 3, 1); __PYX_ERR(0, 190, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_val_set); + if (value) { values[2] = value; kw_args--; } + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "fit") < 0)) __PYX_ERR(0, 190, __pyx_L3_error) + } + } else { + switch (PyTuple_GET_SIZE(__pyx_args)) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + break; + default: goto __pyx_L5_argtuple_error; + } + } + __pyx_v_self = values[0]; + __pyx_v_train_set = values[1]; + __pyx_v_val_set = values[2]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("fit", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 190, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.fit", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_4fit(__pyx_self, __pyx_v_self, __pyx_v_train_set, __pyx_v_val_set); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_4fit(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_train_set, PyObject *__pyx_v_val_set) { + PyObject *__pyx_v_A = NULL; + PyObject *__pyx_v_X = NULL; + PyObject *__pyx_v_Y = NULL; + PyObject *__pyx_v_earlier_indices = NULL; + PyObject *__pyx_v_later_indices = NULL; + PyObject *__pyx_v_aspect_indices = NULL; + PyObject *__pyx_v_pair_counts = NULL; + PyObject *__pyx_v_A_user_counts = NULL; + PyObject *__pyx_v_A_item_counts = NULL; + PyObject *__pyx_v_A_uids = NULL; + PyObject *__pyx_v_X_user_counts = NULL; + PyObject *__pyx_v_X_aspect_counts = NULL; + PyObject *__pyx_v_X_uids = NULL; + PyObject *__pyx_v_Y_item_counts = NULL; + PyObject *__pyx_v_Y_aspect_counts = NULL; + PyObject *__pyx_v_Y_iids = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + int __pyx_t_6; + int __pyx_t_7; + PyObject *__pyx_t_8 = NULL; + PyObject *__pyx_t_9 = NULL; + PyObject *__pyx_t_10 = NULL; + PyObject *__pyx_t_11 = NULL; + PyObject *__pyx_t_12 = NULL; + PyObject *(*__pyx_t_13)(PyObject *); + PyObject *__pyx_t_14 = NULL; + PyObject *__pyx_t_15 = NULL; + PyObject *__pyx_t_16 = NULL; + PyObject *__pyx_t_17 = NULL; + PyObject *__pyx_t_18 = NULL; + PyObject *__pyx_t_19 = NULL; + PyObject *__pyx_t_20 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("fit", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":205 + * self : object + * """ + * Recommender.fit(self, train_set, val_set) # <<<<<<<<<<<<<< + * + * self._init_params() + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_Recommender); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 205, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_fit); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 205, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = NULL; + __pyx_t_4 = 0; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + __pyx_t_4 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_3)) { + PyObject *__pyx_temp[4] = {__pyx_t_2, __pyx_v_self, __pyx_v_train_set, __pyx_v_val_set}; + __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_4, 3+__pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 205, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_GOTREF(__pyx_t_1); + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) { + PyObject *__pyx_temp[4] = {__pyx_t_2, __pyx_v_self, __pyx_v_train_set, __pyx_v_val_set}; + __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_4, 3+__pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 205, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_GOTREF(__pyx_t_1); + } else + #endif + { + __pyx_t_5 = PyTuple_New(3+__pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 205, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (__pyx_t_2) { + __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_2); __pyx_t_2 = NULL; + } + __Pyx_INCREF(__pyx_v_self); + __Pyx_GIVEREF(__pyx_v_self); + PyTuple_SET_ITEM(__pyx_t_5, 0+__pyx_t_4, __pyx_v_self); + __Pyx_INCREF(__pyx_v_train_set); + __Pyx_GIVEREF(__pyx_v_train_set); + PyTuple_SET_ITEM(__pyx_t_5, 1+__pyx_t_4, __pyx_v_train_set); + __Pyx_INCREF(__pyx_v_val_set); + __Pyx_GIVEREF(__pyx_v_val_set); + PyTuple_SET_ITEM(__pyx_t_5, 2+__pyx_t_4, __pyx_v_val_set); + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 205, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":207 + * Recommender.fit(self, train_set, val_set) + * + * self._init_params() # <<<<<<<<<<<<<< + * + * if not self.trainable: + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_init_params_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 207, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_5) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_5) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 207, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":209 + * self._init_params() + * + * if not self.trainable: # <<<<<<<<<<<<<< + * return + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_trainable); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 209, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(0, 209, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_7 = ((!__pyx_t_6) != 0); + if (__pyx_t_7) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":210 + * + * if not self.trainable: + * return # <<<<<<<<<<<<<< + * + * (A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts) = self._build_matrices(self.train_set) + */ + __Pyx_XDECREF(__pyx_r); + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":209 + * self._init_params() + * + * if not self.trainable: # <<<<<<<<<<<<<< + * return + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":212 + * return + * + * (A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts) = self._build_matrices(self.train_set) # <<<<<<<<<<<<<< + * A_user_counts = np.ediff1d(A.indptr) + * A_item_counts = np.ediff1d(A.tocsc().indptr) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_build_matrices); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 212, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 212, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_2 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_2, __pyx_t_5) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_5); + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 212, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) { + PyObject* sequence = __pyx_t_1; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 7)) { + if (size > 7) __Pyx_RaiseTooManyValuesError(7); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 212, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_5 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_2 = PyTuple_GET_ITEM(sequence, 2); + __pyx_t_8 = PyTuple_GET_ITEM(sequence, 3); + __pyx_t_9 = PyTuple_GET_ITEM(sequence, 4); + __pyx_t_10 = PyTuple_GET_ITEM(sequence, 5); + __pyx_t_11 = PyTuple_GET_ITEM(sequence, 6); + } else { + __pyx_t_3 = PyList_GET_ITEM(sequence, 0); + __pyx_t_5 = PyList_GET_ITEM(sequence, 1); + __pyx_t_2 = PyList_GET_ITEM(sequence, 2); + __pyx_t_8 = PyList_GET_ITEM(sequence, 3); + __pyx_t_9 = PyList_GET_ITEM(sequence, 4); + __pyx_t_10 = PyList_GET_ITEM(sequence, 5); + __pyx_t_11 = PyList_GET_ITEM(sequence, 6); + } + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(__pyx_t_9); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(__pyx_t_11); + #else + { + Py_ssize_t i; + PyObject** temps[7] = {&__pyx_t_3,&__pyx_t_5,&__pyx_t_2,&__pyx_t_8,&__pyx_t_9,&__pyx_t_10,&__pyx_t_11}; + for (i=0; i < 7; i++) { + PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) __PYX_ERR(0, 212, __pyx_L1_error) + __Pyx_GOTREF(item); + *(temps[i]) = item; + } + } + #endif + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else { + Py_ssize_t index = -1; + PyObject** temps[7] = {&__pyx_t_3,&__pyx_t_5,&__pyx_t_2,&__pyx_t_8,&__pyx_t_9,&__pyx_t_10,&__pyx_t_11}; + __pyx_t_12 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 212, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_13 = Py_TYPE(__pyx_t_12)->tp_iternext; + for (index=0; index < 7; index++) { + PyObject* item = __pyx_t_13(__pyx_t_12); if (unlikely(!item)) goto __pyx_L4_unpacking_failed; + __Pyx_GOTREF(item); + *(temps[index]) = item; + } + if (__Pyx_IternextUnpackEndCheck(__pyx_t_13(__pyx_t_12), 7) < 0) __PYX_ERR(0, 212, __pyx_L1_error) + __pyx_t_13 = NULL; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + goto __pyx_L5_unpacking_done; + __pyx_L4_unpacking_failed:; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_13 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 212, __pyx_L1_error) + __pyx_L5_unpacking_done:; + } + __pyx_v_A = __pyx_t_3; + __pyx_t_3 = 0; + __pyx_v_X = __pyx_t_5; + __pyx_t_5 = 0; + __pyx_v_Y = __pyx_t_2; + __pyx_t_2 = 0; + __pyx_v_earlier_indices = __pyx_t_8; + __pyx_t_8 = 0; + __pyx_v_later_indices = __pyx_t_9; + __pyx_t_9 = 0; + __pyx_v_aspect_indices = __pyx_t_10; + __pyx_t_10 = 0; + __pyx_v_pair_counts = __pyx_t_11; + __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":213 + * + * (A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts) = self._build_matrices(self.train_set) + * A_user_counts = np.ediff1d(A.indptr) # <<<<<<<<<<<<<< + * A_item_counts = np.ediff1d(A.tocsc().indptr) + * A_uids = np.repeat(np.arange(self.train_set.num_users), A_user_counts).astype(np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 213, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_ediff1d); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 213, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_A, __pyx_n_s_indptr); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 213, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_10))) { + __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_10); + if (likely(__pyx_t_9)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_10); + __Pyx_INCREF(__pyx_t_9); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_10, function); + } + } + __pyx_t_1 = (__pyx_t_9) ? __Pyx_PyObject_Call2Args(__pyx_t_10, __pyx_t_9, __pyx_t_11) : __Pyx_PyObject_CallOneArg(__pyx_t_10, __pyx_t_11); + __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 213, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_v_A_user_counts = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":214 + * (A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts) = self._build_matrices(self.train_set) + * A_user_counts = np.ediff1d(A.indptr) + * A_item_counts = np.ediff1d(A.tocsc().indptr) # <<<<<<<<<<<<<< + * A_uids = np.repeat(np.arange(self.train_set.num_users), A_user_counts).astype(np.int32) + * X_user_counts = np.ediff1d(X.indptr) + */ + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_ediff1d); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_A, __pyx_n_s_tocsc); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_8 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_9); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_9, function); + } + } + __pyx_t_10 = (__pyx_t_8) ? __Pyx_PyObject_CallOneArg(__pyx_t_9, __pyx_t_8) : __Pyx_PyObject_CallNoArg(__pyx_t_9); + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_indptr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_10)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_1 = (__pyx_t_10) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_10, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_A_item_counts = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":215 + * A_user_counts = np.ediff1d(A.indptr) + * A_item_counts = np.ediff1d(A.tocsc().indptr) + * A_uids = np.repeat(np.arange(self.train_set.num_users), A_user_counts).astype(np.int32) # <<<<<<<<<<<<<< + * X_user_counts = np.ediff1d(X.indptr) + * X_aspect_counts = np.ediff1d(X.tocsc().indptr) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_repeat); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_arange); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_num_users); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_9 = (__pyx_t_8) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_8, __pyx_t_5) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_5); + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = NULL; + __pyx_t_4 = 0; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_10))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_10); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_10); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_10, function); + __pyx_t_4 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_10)) { + PyObject *__pyx_temp[3] = {__pyx_t_2, __pyx_t_9, __pyx_v_A_user_counts}; + __pyx_t_11 = __Pyx_PyFunction_FastCall(__pyx_t_10, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_10)) { + PyObject *__pyx_temp[3] = {__pyx_t_2, __pyx_t_9, __pyx_v_A_user_counts}; + __pyx_t_11 = __Pyx_PyCFunction_FastCall(__pyx_t_10, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } else + #endif + { + __pyx_t_5 = PyTuple_New(2+__pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (__pyx_t_2) { + __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_2); __pyx_t_2 = NULL; + } + __Pyx_GIVEREF(__pyx_t_9); + PyTuple_SET_ITEM(__pyx_t_5, 0+__pyx_t_4, __pyx_t_9); + __Pyx_INCREF(__pyx_v_A_user_counts); + __Pyx_GIVEREF(__pyx_v_A_user_counts); + PyTuple_SET_ITEM(__pyx_t_5, 1+__pyx_t_4, __pyx_v_A_user_counts); + __pyx_t_9 = 0; + __pyx_t_11 = __Pyx_PyObject_Call(__pyx_t_10, __pyx_t_5, NULL); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + } + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_astype); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_int32); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_10))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_10); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_10); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_10, function); + } + } + __pyx_t_1 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_10, __pyx_t_11, __pyx_t_5) : __Pyx_PyObject_CallOneArg(__pyx_t_10, __pyx_t_5); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_v_A_uids = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":216 + * A_item_counts = np.ediff1d(A.tocsc().indptr) + * A_uids = np.repeat(np.arange(self.train_set.num_users), A_user_counts).astype(np.int32) + * X_user_counts = np.ediff1d(X.indptr) # <<<<<<<<<<<<<< + * X_aspect_counts = np.ediff1d(X.tocsc().indptr) + * X_uids = np.repeat(np.arange(self.train_set.num_users), X_user_counts).astype(np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 216, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_ediff1d); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 216, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_X, __pyx_n_s_indptr); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 216, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + } + } + __pyx_t_1 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_11, __pyx_t_10) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_10); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 216, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_v_X_user_counts = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":217 + * A_uids = np.repeat(np.arange(self.train_set.num_users), A_user_counts).astype(np.int32) + * X_user_counts = np.ediff1d(X.indptr) + * X_aspect_counts = np.ediff1d(X.tocsc().indptr) # <<<<<<<<<<<<<< + * X_uids = np.repeat(np.arange(self.train_set.num_users), X_user_counts).astype(np.int32) + * Y_item_counts = np.ediff1d(Y.indptr) + */ + __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_np); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_ediff1d); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_X, __pyx_n_s_tocsc); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_9)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_9); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_5 = (__pyx_t_9) ? __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9) : __Pyx_PyObject_CallNoArg(__pyx_t_11); + __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_indptr); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_10))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_10); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_10); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_10, function); + } + } + __pyx_t_1 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_10, __pyx_t_5, __pyx_t_11) : __Pyx_PyObject_CallOneArg(__pyx_t_10, __pyx_t_11); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_v_X_aspect_counts = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":218 + * X_user_counts = np.ediff1d(X.indptr) + * X_aspect_counts = np.ediff1d(X.tocsc().indptr) + * X_uids = np.repeat(np.arange(self.train_set.num_users), X_user_counts).astype(np.int32) # <<<<<<<<<<<<<< + * Y_item_counts = np.ediff1d(Y.indptr) + * Y_aspect_counts = np.ediff1d(Y.tocsc().indptr) + */ + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_repeat); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_arange); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_9)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_9); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_11 = (__pyx_t_9) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_9, __pyx_t_8) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_8); + __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = NULL; + __pyx_t_4 = 0; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + __pyx_t_4 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_5)) { + PyObject *__pyx_temp[3] = {__pyx_t_2, __pyx_t_11, __pyx_v_X_user_counts}; + __pyx_t_10 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) { + PyObject *__pyx_temp[3] = {__pyx_t_2, __pyx_t_11, __pyx_v_X_user_counts}; + __pyx_t_10 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + } else + #endif + { + __pyx_t_8 = PyTuple_New(2+__pyx_t_4); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + if (__pyx_t_2) { + __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_2); __pyx_t_2 = NULL; + } + __Pyx_GIVEREF(__pyx_t_11); + PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_4, __pyx_t_11); + __Pyx_INCREF(__pyx_v_X_user_counts); + __Pyx_GIVEREF(__pyx_v_X_user_counts); + PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_4, __pyx_v_X_user_counts); + __pyx_t_11 = 0; + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_8, NULL); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + } + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_astype); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_int32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_10)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + } + } + __pyx_t_1 = (__pyx_t_10) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_10, __pyx_t_8) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_8); + __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 218, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_v_X_uids = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":219 + * X_aspect_counts = np.ediff1d(X.tocsc().indptr) + * X_uids = np.repeat(np.arange(self.train_set.num_users), X_user_counts).astype(np.int32) + * Y_item_counts = np.ediff1d(Y.indptr) # <<<<<<<<<<<<<< + * Y_aspect_counts = np.ediff1d(Y.tocsc().indptr) + * Y_iids = np.repeat(np.arange(self.train_set.num_items), Y_item_counts).astype(np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_np); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 219, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_ediff1d); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 219, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_Y, __pyx_n_s_indptr); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 219, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_10 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_10)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_1 = (__pyx_t_10) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_10, __pyx_t_5) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_5); + __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 219, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_v_Y_item_counts = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":220 + * X_uids = np.repeat(np.arange(self.train_set.num_users), X_user_counts).astype(np.int32) + * Y_item_counts = np.ediff1d(Y.indptr) + * Y_aspect_counts = np.ediff1d(Y.tocsc().indptr) # <<<<<<<<<<<<<< + * Y_iids = np.repeat(np.arange(self.train_set.num_items), Y_item_counts).astype(np.int32) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 220, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_ediff1d); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 220, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_Y, __pyx_n_s_tocsc); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 220, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_10))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_10); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_10); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_10, function); + } + } + __pyx_t_8 = (__pyx_t_11) ? __Pyx_PyObject_CallOneArg(__pyx_t_10, __pyx_t_11) : __Pyx_PyObject_CallNoArg(__pyx_t_10); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 220, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_indptr); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 220, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + } + } + __pyx_t_1 = (__pyx_t_8) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_8, __pyx_t_10) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_10); + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 220, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_v_Y_aspect_counts = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":221 + * Y_item_counts = np.ediff1d(Y.indptr) + * Y_aspect_counts = np.ediff1d(Y.tocsc().indptr) + * Y_iids = np.repeat(np.arange(self.train_set.num_items), Y_item_counts).astype(np.int32) # <<<<<<<<<<<<<< + * + * self._fit_efm(self.num_threads, + */ + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_repeat); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_arange); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_num_items); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_11, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = NULL; + __pyx_t_4 = 0; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + __pyx_t_4 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_8)) { + PyObject *__pyx_temp[3] = {__pyx_t_2, __pyx_t_10, __pyx_v_Y_item_counts}; + __pyx_t_5 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) { + PyObject *__pyx_temp[3] = {__pyx_t_2, __pyx_t_10, __pyx_v_Y_item_counts}; + __pyx_t_5 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + } else + #endif + { + __pyx_t_9 = PyTuple_New(2+__pyx_t_4); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + if (__pyx_t_2) { + __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_2); __pyx_t_2 = NULL; + } + __Pyx_GIVEREF(__pyx_t_10); + PyTuple_SET_ITEM(__pyx_t_9, 0+__pyx_t_4, __pyx_t_10); + __Pyx_INCREF(__pyx_v_Y_item_counts); + __Pyx_GIVEREF(__pyx_v_Y_item_counts); + PyTuple_SET_ITEM(__pyx_t_9, 1+__pyx_t_4, __pyx_v_Y_item_counts); + __pyx_t_10 = 0; + __pyx_t_5 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_9, NULL); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_astype); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_np); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_int32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_1 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_5, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_v_Y_iids = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":223 + * Y_iids = np.repeat(np.arange(self.train_set.num_items), Y_item_counts).astype(np.int32) + * + * self._fit_efm(self.num_threads, # <<<<<<<<<<<<<< + * A.data, A_uids, A.indices, A_user_counts, A_item_counts, + * X.data, X_uids, X.indices, X_user_counts, X_aspect_counts, + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_fit_efm); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 223, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_threads); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 223, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":224 + * + * self._fit_efm(self.num_threads, + * A.data, A_uids, A.indices, A_user_counts, A_item_counts, # <<<<<<<<<<<<<< + * X.data, X_uids, X.indices, X_user_counts, X_aspect_counts, + * Y.data, Y_iids, Y.indices, Y_item_counts, Y_aspect_counts, + */ + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_A, __pyx_n_s_data); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 224, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_A, __pyx_n_s_indices); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 224, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":225 + * self._fit_efm(self.num_threads, + * A.data, A_uids, A.indices, A_user_counts, A_item_counts, + * X.data, X_uids, X.indices, X_user_counts, X_aspect_counts, # <<<<<<<<<<<<<< + * Y.data, Y_iids, Y.indices, Y_item_counts, Y_aspect_counts, + * earlier_indices, later_indices, aspect_indices, pair_counts, + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_X, __pyx_n_s_data); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 225, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_X, __pyx_n_s_indices); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 225, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":226 + * A.data, A_uids, A.indices, A_user_counts, A_item_counts, + * X.data, X_uids, X.indices, X_user_counts, X_aspect_counts, + * Y.data, Y_iids, Y.indices, Y_item_counts, Y_aspect_counts, # <<<<<<<<<<<<<< + * earlier_indices, later_indices, aspect_indices, pair_counts, + * self.U1, self.U2, self.V, self.H1, self.H2) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_Y, __pyx_n_s_data); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 226, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_Y, __pyx_n_s_indices); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 226, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":228 + * Y.data, Y_iids, Y.indices, Y_item_counts, Y_aspect_counts, + * earlier_indices, later_indices, aspect_indices, pair_counts, + * self.U1, self.U2, self.V, self.H1, self.H2) # <<<<<<<<<<<<<< + * + * def _init_params(self): + */ + __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_15); + __pyx_t_16 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_V); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_16); + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_H1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_18 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_H2); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_18); + __pyx_t_19 = NULL; + __pyx_t_4 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_19 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_19)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_19); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + __pyx_t_4 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_8)) { + PyObject *__pyx_temp[26] = {__pyx_t_19, __pyx_t_9, __pyx_t_5, __pyx_v_A_uids, __pyx_t_10, __pyx_v_A_user_counts, __pyx_v_A_item_counts, __pyx_t_2, __pyx_v_X_uids, __pyx_t_11, __pyx_v_X_user_counts, __pyx_v_X_aspect_counts, __pyx_t_3, __pyx_v_Y_iids, __pyx_t_12, __pyx_v_Y_item_counts, __pyx_v_Y_aspect_counts, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18}; + __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_4, 25+__pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 223, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_19); __pyx_t_19 = 0; + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0; + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) { + PyObject *__pyx_temp[26] = {__pyx_t_19, __pyx_t_9, __pyx_t_5, __pyx_v_A_uids, __pyx_t_10, __pyx_v_A_user_counts, __pyx_v_A_item_counts, __pyx_t_2, __pyx_v_X_uids, __pyx_t_11, __pyx_v_X_user_counts, __pyx_v_X_aspect_counts, __pyx_t_3, __pyx_v_Y_iids, __pyx_t_12, __pyx_v_Y_item_counts, __pyx_v_Y_aspect_counts, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18}; + __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_4, 25+__pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 223, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_19); __pyx_t_19 = 0; + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0; + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0; + } else + #endif + { + __pyx_t_20 = PyTuple_New(25+__pyx_t_4); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 223, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_20); + if (__pyx_t_19) { + __Pyx_GIVEREF(__pyx_t_19); PyTuple_SET_ITEM(__pyx_t_20, 0, __pyx_t_19); __pyx_t_19 = NULL; + } + __Pyx_GIVEREF(__pyx_t_9); + PyTuple_SET_ITEM(__pyx_t_20, 0+__pyx_t_4, __pyx_t_9); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_20, 1+__pyx_t_4, __pyx_t_5); + __Pyx_INCREF(__pyx_v_A_uids); + __Pyx_GIVEREF(__pyx_v_A_uids); + PyTuple_SET_ITEM(__pyx_t_20, 2+__pyx_t_4, __pyx_v_A_uids); + __Pyx_GIVEREF(__pyx_t_10); + PyTuple_SET_ITEM(__pyx_t_20, 3+__pyx_t_4, __pyx_t_10); + __Pyx_INCREF(__pyx_v_A_user_counts); + __Pyx_GIVEREF(__pyx_v_A_user_counts); + PyTuple_SET_ITEM(__pyx_t_20, 4+__pyx_t_4, __pyx_v_A_user_counts); + __Pyx_INCREF(__pyx_v_A_item_counts); + __Pyx_GIVEREF(__pyx_v_A_item_counts); + PyTuple_SET_ITEM(__pyx_t_20, 5+__pyx_t_4, __pyx_v_A_item_counts); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_20, 6+__pyx_t_4, __pyx_t_2); + __Pyx_INCREF(__pyx_v_X_uids); + __Pyx_GIVEREF(__pyx_v_X_uids); + PyTuple_SET_ITEM(__pyx_t_20, 7+__pyx_t_4, __pyx_v_X_uids); + __Pyx_GIVEREF(__pyx_t_11); + PyTuple_SET_ITEM(__pyx_t_20, 8+__pyx_t_4, __pyx_t_11); + __Pyx_INCREF(__pyx_v_X_user_counts); + __Pyx_GIVEREF(__pyx_v_X_user_counts); + PyTuple_SET_ITEM(__pyx_t_20, 9+__pyx_t_4, __pyx_v_X_user_counts); + __Pyx_INCREF(__pyx_v_X_aspect_counts); + __Pyx_GIVEREF(__pyx_v_X_aspect_counts); + PyTuple_SET_ITEM(__pyx_t_20, 10+__pyx_t_4, __pyx_v_X_aspect_counts); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_20, 11+__pyx_t_4, __pyx_t_3); + __Pyx_INCREF(__pyx_v_Y_iids); + __Pyx_GIVEREF(__pyx_v_Y_iids); + PyTuple_SET_ITEM(__pyx_t_20, 12+__pyx_t_4, __pyx_v_Y_iids); + __Pyx_GIVEREF(__pyx_t_12); + PyTuple_SET_ITEM(__pyx_t_20, 13+__pyx_t_4, __pyx_t_12); + __Pyx_INCREF(__pyx_v_Y_item_counts); + __Pyx_GIVEREF(__pyx_v_Y_item_counts); + PyTuple_SET_ITEM(__pyx_t_20, 14+__pyx_t_4, __pyx_v_Y_item_counts); + __Pyx_INCREF(__pyx_v_Y_aspect_counts); + __Pyx_GIVEREF(__pyx_v_Y_aspect_counts); + PyTuple_SET_ITEM(__pyx_t_20, 15+__pyx_t_4, __pyx_v_Y_aspect_counts); + __Pyx_INCREF(__pyx_v_earlier_indices); + __Pyx_GIVEREF(__pyx_v_earlier_indices); + PyTuple_SET_ITEM(__pyx_t_20, 16+__pyx_t_4, __pyx_v_earlier_indices); + __Pyx_INCREF(__pyx_v_later_indices); + __Pyx_GIVEREF(__pyx_v_later_indices); + PyTuple_SET_ITEM(__pyx_t_20, 17+__pyx_t_4, __pyx_v_later_indices); + __Pyx_INCREF(__pyx_v_aspect_indices); + __Pyx_GIVEREF(__pyx_v_aspect_indices); + PyTuple_SET_ITEM(__pyx_t_20, 18+__pyx_t_4, __pyx_v_aspect_indices); + __Pyx_INCREF(__pyx_v_pair_counts); + __Pyx_GIVEREF(__pyx_v_pair_counts); + PyTuple_SET_ITEM(__pyx_t_20, 19+__pyx_t_4, __pyx_v_pair_counts); + __Pyx_GIVEREF(__pyx_t_14); + PyTuple_SET_ITEM(__pyx_t_20, 20+__pyx_t_4, __pyx_t_14); + __Pyx_GIVEREF(__pyx_t_15); + PyTuple_SET_ITEM(__pyx_t_20, 21+__pyx_t_4, __pyx_t_15); + __Pyx_GIVEREF(__pyx_t_16); + PyTuple_SET_ITEM(__pyx_t_20, 22+__pyx_t_4, __pyx_t_16); + __Pyx_GIVEREF(__pyx_t_17); + PyTuple_SET_ITEM(__pyx_t_20, 23+__pyx_t_4, __pyx_t_17); + __Pyx_GIVEREF(__pyx_t_18); + PyTuple_SET_ITEM(__pyx_t_20, 24+__pyx_t_4, __pyx_t_18); + __pyx_t_9 = 0; + __pyx_t_5 = 0; + __pyx_t_10 = 0; + __pyx_t_2 = 0; + __pyx_t_11 = 0; + __pyx_t_3 = 0; + __pyx_t_12 = 0; + __pyx_t_14 = 0; + __pyx_t_15 = 0; + __pyx_t_16 = 0; + __pyx_t_17 = 0; + __pyx_t_18 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_20, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 223, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0; + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":190 + * return MODEL_TYPES[model_type] + * + * def fit(self, train_set, val_set=None): # <<<<<<<<<<<<<< + * """Fit the model to observations. + * + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_9); + __Pyx_XDECREF(__pyx_t_10); + __Pyx_XDECREF(__pyx_t_11); + __Pyx_XDECREF(__pyx_t_12); + __Pyx_XDECREF(__pyx_t_14); + __Pyx_XDECREF(__pyx_t_15); + __Pyx_XDECREF(__pyx_t_16); + __Pyx_XDECREF(__pyx_t_17); + __Pyx_XDECREF(__pyx_t_18); + __Pyx_XDECREF(__pyx_t_19); + __Pyx_XDECREF(__pyx_t_20); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.fit", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_A); + __Pyx_XDECREF(__pyx_v_X); + __Pyx_XDECREF(__pyx_v_Y); + __Pyx_XDECREF(__pyx_v_earlier_indices); + __Pyx_XDECREF(__pyx_v_later_indices); + __Pyx_XDECREF(__pyx_v_aspect_indices); + __Pyx_XDECREF(__pyx_v_pair_counts); + __Pyx_XDECREF(__pyx_v_A_user_counts); + __Pyx_XDECREF(__pyx_v_A_item_counts); + __Pyx_XDECREF(__pyx_v_A_uids); + __Pyx_XDECREF(__pyx_v_X_user_counts); + __Pyx_XDECREF(__pyx_v_X_aspect_counts); + __Pyx_XDECREF(__pyx_v_X_uids); + __Pyx_XDECREF(__pyx_v_Y_item_counts); + __Pyx_XDECREF(__pyx_v_Y_aspect_counts); + __Pyx_XDECREF(__pyx_v_Y_iids); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":230 + * self.U1, self.U2, self.V, self.H1, self.H2) + * + * def _init_params(self): # <<<<<<<<<<<<<< + * from ...utils import get_rng + * from ...utils.init_utils import uniform + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_7_init_params(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_7_init_params = {"_init_params", (PyCFunction)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_7_init_params, METH_O, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_7_init_params(PyObject *__pyx_self, PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_init_params (wrapper)", 0); + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_6_init_params(__pyx_self, ((PyObject *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_6_init_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) { + PyObject *__pyx_v_get_rng = NULL; + PyObject *__pyx_v_uniform = NULL; + PyObject *__pyx_v_rng = NULL; + PyObject *__pyx_v_num_factors = NULL; + PyObject *__pyx_v_high = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + int __pyx_t_6; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_init_params", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":231 + * + * def _init_params(self): + * from ...utils import get_rng # <<<<<<<<<<<<<< + * from ...utils.init_utils import uniform + * + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 231, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s_get_rng); + __Pyx_GIVEREF(__pyx_n_s_get_rng); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_get_rng); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_utils, __pyx_t_1, 3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 231, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_get_rng); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 231, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_t_1); + __pyx_v_get_rng = __pyx_t_1; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":232 + * def _init_params(self): + * from ...utils import get_rng + * from ...utils.init_utils import uniform # <<<<<<<<<<<<<< + * + * rng = get_rng(self.seed) + */ + __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 232, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_n_s_uniform); + __Pyx_GIVEREF(__pyx_n_s_uniform); + PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_uniform); + __pyx_t_1 = __Pyx_Import(__pyx_n_s_utils_init_utils, __pyx_t_2, 3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 232, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_uniform); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 232, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_t_2); + __pyx_v_uniform = __pyx_t_2; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":234 + * from ...utils.init_utils import uniform + * + * rng = get_rng(self.seed) # <<<<<<<<<<<<<< + * num_factors = self.num_explicit_factors + self.num_latent_factors + * high = np.sqrt(self.rating_scale / num_factors) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_seed); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 234, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_get_rng); + __pyx_t_3 = __pyx_v_get_rng; __pyx_t_4 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_4)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_4); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_4, __pyx_t_2) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_2); + __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 234, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_rng = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":235 + * + * rng = get_rng(self.seed) + * num_factors = self.num_explicit_factors + self.num_latent_factors # <<<<<<<<<<<<<< + * high = np.sqrt(self.rating_scale / num_factors) + * self.U1 = self.init_params.get('U1', uniform((self.train_set.num_users, self.num_explicit_factors), + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 235, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 235, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = PyNumber_Add(__pyx_t_1, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 235, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_factors = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":236 + * rng = get_rng(self.seed) + * num_factors = self.num_explicit_factors + self.num_latent_factors + * high = np.sqrt(self.rating_scale / num_factors) # <<<<<<<<<<<<<< + * self.U1 = self.init_params.get('U1', uniform((self.train_set.num_users, self.num_explicit_factors), + * high=high, random_state=rng)) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 236, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_sqrt); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 236, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_rating_scale); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 236, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyNumber_Divide(__pyx_t_3, __pyx_v_num_factors); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 236, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_1, __pyx_t_3, __pyx_t_4) : __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_4); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 236, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_high = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":237 + * num_factors = self.num_explicit_factors + self.num_latent_factors + * high = np.sqrt(self.rating_scale / num_factors) + * self.U1 = self.init_params.get('U1', uniform((self.train_set.num_users, self.num_explicit_factors), # <<<<<<<<<<<<<< + * high=high, random_state=rng)) + * self.U2 = self.init_params.get('U2', uniform((self.train_set.num_items, self.num_explicit_factors), + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_init_params); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_get); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_1); + __pyx_t_3 = 0; + __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_5); + __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":238 + * high = np.sqrt(self.rating_scale / num_factors) + * self.U1 = self.init_params.get('U1', uniform((self.train_set.num_users, self.num_explicit_factors), + * high=high, random_state=rng)) # <<<<<<<<<<<<<< + * self.U2 = self.init_params.get('U2', uniform((self.train_set.num_items, self.num_explicit_factors), + * high=high, random_state=rng)) + */ + __pyx_t_5 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 238, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_high, __pyx_v_high) < 0) __PYX_ERR(0, 238, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_random_state, __pyx_v_rng) < 0) __PYX_ERR(0, 238, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":237 + * num_factors = self.num_explicit_factors + self.num_latent_factors + * high = np.sqrt(self.rating_scale / num_factors) + * self.U1 = self.init_params.get('U1', uniform((self.train_set.num_users, self.num_explicit_factors), # <<<<<<<<<<<<<< + * high=high, random_state=rng)) + * self.U2 = self.init_params.get('U2', uniform((self.train_set.num_items, self.num_explicit_factors), + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_v_uniform, __pyx_t_1, __pyx_t_5); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = NULL; + __pyx_t_6 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + __pyx_t_6 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_4)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_n_u_U1, __pyx_t_3}; + __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_n_u_U1, __pyx_t_3}; + __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } else + #endif + { + __pyx_t_1 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (__pyx_t_5) { + __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_5); __pyx_t_5 = NULL; + } + __Pyx_INCREF(__pyx_n_u_U1); + __Pyx_GIVEREF(__pyx_n_u_U1); + PyTuple_SET_ITEM(__pyx_t_1, 0+__pyx_t_6, __pyx_n_u_U1); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 1+__pyx_t_6, __pyx_t_3); + __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_1, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_U1, __pyx_t_2) < 0) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":239 + * self.U1 = self.init_params.get('U1', uniform((self.train_set.num_users, self.num_explicit_factors), + * high=high, random_state=rng)) + * self.U2 = self.init_params.get('U2', uniform((self.train_set.num_items, self.num_explicit_factors), # <<<<<<<<<<<<<< + * high=high, random_state=rng)) + * self.V = self.init_params.get('V', uniform((self.train_set.sentiment.num_aspects, self.num_explicit_factors), + */ + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_init_params); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_get); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_4); + __pyx_t_3 = 0; + __pyx_t_4 = 0; + __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_5); + __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":240 + * high=high, random_state=rng)) + * self.U2 = self.init_params.get('U2', uniform((self.train_set.num_items, self.num_explicit_factors), + * high=high, random_state=rng)) # <<<<<<<<<<<<<< + * self.V = self.init_params.get('V', uniform((self.train_set.sentiment.num_aspects, self.num_explicit_factors), + * high=high, random_state=rng)) + */ + __pyx_t_5 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 240, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_high, __pyx_v_high) < 0) __PYX_ERR(0, 240, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_random_state, __pyx_v_rng) < 0) __PYX_ERR(0, 240, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":239 + * self.U1 = self.init_params.get('U1', uniform((self.train_set.num_users, self.num_explicit_factors), + * high=high, random_state=rng)) + * self.U2 = self.init_params.get('U2', uniform((self.train_set.num_items, self.num_explicit_factors), # <<<<<<<<<<<<<< + * high=high, random_state=rng)) + * self.V = self.init_params.get('V', uniform((self.train_set.sentiment.num_aspects, self.num_explicit_factors), + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_v_uniform, __pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = NULL; + __pyx_t_6 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + __pyx_t_6 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_1)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_n_u_U2, __pyx_t_3}; + __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_1, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_1)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_n_u_U2, __pyx_t_3}; + __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_1, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } else + #endif + { + __pyx_t_4 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__pyx_t_5) { + __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_5); __pyx_t_5 = NULL; + } + __Pyx_INCREF(__pyx_n_u_U2); + __Pyx_GIVEREF(__pyx_n_u_U2); + PyTuple_SET_ITEM(__pyx_t_4, 0+__pyx_t_6, __pyx_n_u_U2); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_4, 1+__pyx_t_6, __pyx_t_3); + __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_4, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_U2, __pyx_t_2) < 0) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":241 + * self.U2 = self.init_params.get('U2', uniform((self.train_set.num_items, self.num_explicit_factors), + * high=high, random_state=rng)) + * self.V = self.init_params.get('V', uniform((self.train_set.sentiment.num_aspects, self.num_explicit_factors), # <<<<<<<<<<<<<< + * high=high, random_state=rng)) + * self.H1 = self.init_params.get('H1', uniform((self.train_set.num_users, self.num_latent_factors), + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_init_params); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_get); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_3); + __pyx_t_1 = 0; + __pyx_t_3 = 0; + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_5); + __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":242 + * high=high, random_state=rng)) + * self.V = self.init_params.get('V', uniform((self.train_set.sentiment.num_aspects, self.num_explicit_factors), + * high=high, random_state=rng)) # <<<<<<<<<<<<<< + * self.H1 = self.init_params.get('H1', uniform((self.train_set.num_users, self.num_latent_factors), + * high=high, random_state=rng)) + */ + __pyx_t_5 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 242, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_high, __pyx_v_high) < 0) __PYX_ERR(0, 242, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_random_state, __pyx_v_rng) < 0) __PYX_ERR(0, 242, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":241 + * self.U2 = self.init_params.get('U2', uniform((self.train_set.num_items, self.num_explicit_factors), + * high=high, random_state=rng)) + * self.V = self.init_params.get('V', uniform((self.train_set.sentiment.num_aspects, self.num_explicit_factors), # <<<<<<<<<<<<<< + * high=high, random_state=rng)) + * self.H1 = self.init_params.get('H1', uniform((self.train_set.num_users, self.num_latent_factors), + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_v_uniform, __pyx_t_3, __pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = NULL; + __pyx_t_6 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + __pyx_t_6 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_4)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_n_u_V, __pyx_t_1}; + __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_n_u_V, __pyx_t_1}; + __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else + #endif + { + __pyx_t_3 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + if (__pyx_t_5) { + __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_5); __pyx_t_5 = NULL; + } + __Pyx_INCREF(__pyx_n_u_V); + __Pyx_GIVEREF(__pyx_n_u_V); + PyTuple_SET_ITEM(__pyx_t_3, 0+__pyx_t_6, __pyx_n_u_V); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_3, 1+__pyx_t_6, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_V, __pyx_t_2) < 0) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":243 + * self.V = self.init_params.get('V', uniform((self.train_set.sentiment.num_aspects, self.num_explicit_factors), + * high=high, random_state=rng)) + * self.H1 = self.init_params.get('H1', uniform((self.train_set.num_users, self.num_latent_factors), # <<<<<<<<<<<<<< + * high=high, random_state=rng)) + * self.H2 = self.init_params.get('H2', uniform((self.train_set.num_items, self.num_latent_factors), + */ + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_init_params); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_get); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_num_users); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_4); + __pyx_t_1 = 0; + __pyx_t_4 = 0; + __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_5); + __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":244 + * high=high, random_state=rng)) + * self.H1 = self.init_params.get('H1', uniform((self.train_set.num_users, self.num_latent_factors), + * high=high, random_state=rng)) # <<<<<<<<<<<<<< + * self.H2 = self.init_params.get('H2', uniform((self.train_set.num_items, self.num_latent_factors), + * high=high, random_state=rng)) + */ + __pyx_t_5 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 244, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_high, __pyx_v_high) < 0) __PYX_ERR(0, 244, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_random_state, __pyx_v_rng) < 0) __PYX_ERR(0, 244, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":243 + * self.V = self.init_params.get('V', uniform((self.train_set.sentiment.num_aspects, self.num_explicit_factors), + * high=high, random_state=rng)) + * self.H1 = self.init_params.get('H1', uniform((self.train_set.num_users, self.num_latent_factors), # <<<<<<<<<<<<<< + * high=high, random_state=rng)) + * self.H2 = self.init_params.get('H2', uniform((self.train_set.num_items, self.num_latent_factors), + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_v_uniform, __pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = NULL; + __pyx_t_6 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + __pyx_t_6 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_3)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_n_u_H1, __pyx_t_1}; + __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_n_u_H1, __pyx_t_1}; + __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else + #endif + { + __pyx_t_4 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__pyx_t_5) { + __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_5); __pyx_t_5 = NULL; + } + __Pyx_INCREF(__pyx_n_u_H1); + __Pyx_GIVEREF(__pyx_n_u_H1); + PyTuple_SET_ITEM(__pyx_t_4, 0+__pyx_t_6, __pyx_n_u_H1); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_4, 1+__pyx_t_6, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_4, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_H1, __pyx_t_2) < 0) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":245 + * self.H1 = self.init_params.get('H1', uniform((self.train_set.num_users, self.num_latent_factors), + * high=high, random_state=rng)) + * self.H2 = self.init_params.get('H2', uniform((self.train_set.num_items, self.num_latent_factors), # <<<<<<<<<<<<<< + * high=high, random_state=rng)) + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_init_params); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_get); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_num_items); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_3); + __pyx_t_1 = 0; + __pyx_t_3 = 0; + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_5); + __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":246 + * high=high, random_state=rng)) + * self.H2 = self.init_params.get('H2', uniform((self.train_set.num_items, self.num_latent_factors), + * high=high, random_state=rng)) # <<<<<<<<<<<<<< + * + * def get_params(self): + */ + __pyx_t_5 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 246, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_high, __pyx_v_high) < 0) __PYX_ERR(0, 246, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_random_state, __pyx_v_rng) < 0) __PYX_ERR(0, 246, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":245 + * self.H1 = self.init_params.get('H1', uniform((self.train_set.num_users, self.num_latent_factors), + * high=high, random_state=rng)) + * self.H2 = self.init_params.get('H2', uniform((self.train_set.num_items, self.num_latent_factors), # <<<<<<<<<<<<<< + * high=high, random_state=rng)) + * + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_v_uniform, __pyx_t_3, __pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = NULL; + __pyx_t_6 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + __pyx_t_6 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_4)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_n_u_H2, __pyx_t_1}; + __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_n_u_H2, __pyx_t_1}; + __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else + #endif + { + __pyx_t_3 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + if (__pyx_t_5) { + __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_5); __pyx_t_5 = NULL; + } + __Pyx_INCREF(__pyx_n_u_H2); + __Pyx_GIVEREF(__pyx_n_u_H2); + PyTuple_SET_ITEM(__pyx_t_3, 0+__pyx_t_6, __pyx_n_u_H2); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_3, 1+__pyx_t_6, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_H2, __pyx_t_2) < 0) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":230 + * self.U1, self.U2, self.V, self.H1, self.H2) + * + * def _init_params(self): # <<<<<<<<<<<<<< + * from ...utils import get_rng + * from ...utils.init_utils import uniform + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._init_params", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_get_rng); + __Pyx_XDECREF(__pyx_v_uniform); + __Pyx_XDECREF(__pyx_v_rng); + __Pyx_XDECREF(__pyx_v_num_factors); + __Pyx_XDECREF(__pyx_v_high); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":248 + * high=high, random_state=rng)) + * + * def get_params(self): # <<<<<<<<<<<<<< + * """Get model parameters in the form of dictionary including matrices: U1, U2, V, H1, H2 + * """ + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_9get_params(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/ +static char __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_8get_params[] = "Get model parameters in the form of dictionary including matrices: U1, U2, V, H1, H2\n "; +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_9get_params = {"get_params", (PyCFunction)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_9get_params, METH_O, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_8get_params}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_9get_params(PyObject *__pyx_self, PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("get_params (wrapper)", 0); + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_8get_params(__pyx_self, ((PyObject *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_8get_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("get_params", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":251 + * """Get model parameters in the form of dictionary including matrices: U1, U2, V, H1, H2 + * """ + * return { # <<<<<<<<<<<<<< + * 'U1': self.U1, + * 'U2': self.U2, + */ + __Pyx_XDECREF(__pyx_r); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":252 + * """ + * return { + * 'U1': self.U1, # <<<<<<<<<<<<<< + * 'U2': self.U2, + * 'V': self.V, + */ + __pyx_t_1 = __Pyx_PyDict_NewPresized(5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 252, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 252, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_U1, __pyx_t_2) < 0) __PYX_ERR(0, 252, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":253 + * return { + * 'U1': self.U1, + * 'U2': self.U2, # <<<<<<<<<<<<<< + * 'V': self.V, + * 'H1': self.H1, + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 253, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_U2, __pyx_t_2) < 0) __PYX_ERR(0, 252, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":254 + * 'U1': self.U1, + * 'U2': self.U2, + * 'V': self.V, # <<<<<<<<<<<<<< + * 'H1': self.H1, + * 'H2': self.H2, + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_V); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 254, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_V, __pyx_t_2) < 0) __PYX_ERR(0, 252, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":255 + * 'U2': self.U2, + * 'V': self.V, + * 'H1': self.H1, # <<<<<<<<<<<<<< + * 'H2': self.H2, + * } + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_H1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 255, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_H1, __pyx_t_2) < 0) __PYX_ERR(0, 252, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":256 + * 'V': self.V, + * 'H1': self.H1, + * 'H2': self.H2, # <<<<<<<<<<<<<< + * } + * + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_H2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 256, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_H2, __pyx_t_2) < 0) __PYX_ERR(0, 252, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":248 + * high=high, random_state=rng)) + * + * def get_params(self): # <<<<<<<<<<<<<< + * """Get model parameters in the form of dictionary including matrices: U1, U2, V, H1, H2 + * """ + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.get_params", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":261 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_efm(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, integral[:] A_user_counts, integral[:] A_item_counts, + * floating[:] X, integral[:] X_uids, integral[:] X_aids, integral[:] X_user_counts, integral[:] X_aspect_counts, + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_11_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static char __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_10_fit_efm[] = "Fit the model parameters (U1, U2, V, H1, H2)\n "; +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_11_fit_efm = {"_fit_efm", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_11_fit_efm, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_10_fit_efm}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_11_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_signatures = 0; + PyObject *__pyx_v_args = 0; + PyObject *__pyx_v_kwargs = 0; + CYTHON_UNUSED PyObject *__pyx_v_defaults = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__pyx_fused_cpdef (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_signatures,&__pyx_n_s_args,&__pyx_n_s_kwargs,&__pyx_n_s_defaults,0}; + PyObject* values[4] = {0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_signatures)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_args)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_fused_cpdef", 1, 4, 4, 1); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_kwargs)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_fused_cpdef", 1, 4, 4, 2); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_defaults)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_fused_cpdef", 1, 4, 4, 3); __PYX_ERR(0, 261, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__pyx_fused_cpdef") < 0)) __PYX_ERR(0, 261, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 4) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + } + __pyx_v_signatures = values[0]; + __pyx_v_args = values[1]; + __pyx_v_kwargs = values[2]; + __pyx_v_defaults = values[3]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__pyx_fused_cpdef", 1, 4, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.__pyx_fused_cpdef", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_10_fit_efm(__pyx_self, __pyx_v_signatures, __pyx_v_args, __pyx_v_kwargs, __pyx_v_defaults); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_10_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults) { + PyObject *__pyx_v_dest_sig = NULL; + Py_ssize_t __pyx_v_i; + PyTypeObject *__pyx_v_ndarray = 0; + __Pyx_memviewslice __pyx_v_memslice; + Py_ssize_t __pyx_v_itemsize; + int __pyx_v_dtype_signed; + char __pyx_v_kind; + int __pyx_v_short_is_signed; + int __pyx_v_int_is_signed; + int __pyx_v_long_is_signed; + PyObject *__pyx_v_arg = NULL; + PyObject *__pyx_v_dtype = NULL; + PyObject *__pyx_v_arg_base = NULL; + PyObject *__pyx_v_candidates = NULL; + PyObject *__pyx_v_sig = NULL; + int __pyx_v_match_found; + PyObject *__pyx_v_src_sig = NULL; + PyObject *__pyx_v_dst_type = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + Py_ssize_t __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + long __pyx_t_7; + __Pyx_memviewslice __pyx_t_8; + Py_ssize_t __pyx_t_9; + int __pyx_t_10; + int __pyx_t_11; + PyObject *__pyx_t_12 = NULL; + PyObject *__pyx_t_13 = NULL; + PyObject *__pyx_t_14 = NULL; + Py_ssize_t __pyx_t_15; + Py_ssize_t __pyx_t_16; + Py_ssize_t __pyx_t_17; + int __pyx_t_18; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_fit_efm", 0); + __Pyx_INCREF(__pyx_v_kwargs); + __pyx_t_1 = PyList_New(1 * 2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + { Py_ssize_t __pyx_temp; + for (__pyx_temp=0; __pyx_temp < 2; __pyx_temp++) { + __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(Py_None); + PyList_SET_ITEM(__pyx_t_1, __pyx_temp, Py_None); + } + } + __pyx_v_dest_sig = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_3 = (__pyx_v_kwargs != Py_None); + __pyx_t_4 = (__pyx_t_3 != 0); + if (__pyx_t_4) { + } else { + __pyx_t_2 = __pyx_t_4; + goto __pyx_L4_bool_binop_done; + } + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_v_kwargs); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + __pyx_t_3 = ((!__pyx_t_4) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L4_bool_binop_done:; + if (__pyx_t_2) { + __Pyx_INCREF(Py_None); + __Pyx_DECREF_SET(__pyx_v_kwargs, Py_None); + } + __pyx_t_1 = ((PyObject *)__Pyx_ImportNumPyArrayTypeIfAvailable()); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_ndarray = ((PyTypeObject*)__pyx_t_1); + __pyx_t_1 = 0; + __pyx_v_itemsize = -1L; + __pyx_v_short_is_signed = (!((((short)-1L) > 0) != 0)); + __pyx_v_int_is_signed = (!((((int)-1L) > 0) != 0)); + __pyx_v_long_is_signed = (!((((long)-1L) > 0) != 0)); + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_5 = PyTuple_GET_SIZE(((PyObject*)__pyx_v_args)); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 261, __pyx_L1_error) + __pyx_t_2 = ((2 < __pyx_t_5) != 0); + if (__pyx_t_2) { + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_1 = PyTuple_GET_ITEM(((PyObject*)__pyx_v_args), 2); + __Pyx_INCREF(__pyx_t_1); + __pyx_v_arg = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L6; + } + __pyx_t_3 = (__pyx_v_kwargs != Py_None); + __pyx_t_4 = (__pyx_t_3 != 0); + if (__pyx_t_4) { + } else { + __pyx_t_2 = __pyx_t_4; + goto __pyx_L7_bool_binop_done; + } + if (unlikely(__pyx_v_kwargs == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_4 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_A, ((PyObject*)__pyx_v_kwargs), Py_EQ)); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + __pyx_t_3 = (__pyx_t_4 != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L7_bool_binop_done:; + if (__pyx_t_2) { + if (unlikely(__pyx_v_kwargs == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_1 = __Pyx_PyDict_GetItem(((PyObject*)__pyx_v_kwargs), __pyx_n_s_A); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_arg = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L6; + } + /*else*/ { + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_5 = PyTuple_GET_SIZE(((PyObject*)__pyx_v_args)); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 261, __pyx_L1_error) + __pyx_t_1 = PyInt_FromSsize_t(__pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = PyTuple_New(3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_INCREF(__pyx_int_26); + __Pyx_GIVEREF(__pyx_int_26); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_int_26); + __Pyx_INCREF(__pyx_n_s_s); + __Pyx_GIVEREF(__pyx_n_s_s); + PyTuple_SET_ITEM(__pyx_t_6, 1, __pyx_n_s_s); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 2, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyString_Format(__pyx_kp_s_Expected_at_least_d_argument_s_g, __pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_builtin_TypeError, __pyx_t_1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_Raise(__pyx_t_6, 0, 0, 0); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_L6:; + while (1) { + __pyx_t_2 = (__pyx_v_ndarray != ((PyTypeObject*)Py_None)); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_3 = __Pyx_TypeCheck(__pyx_v_arg, __pyx_v_ndarray); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_dtype); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_v_dtype = __pyx_t_6; + __pyx_t_6 = 0; + goto __pyx_L12; + } + __pyx_t_2 = __pyx_memoryview_check(__pyx_v_arg); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_base); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_v_arg_base = __pyx_t_6; + __pyx_t_6 = 0; + __pyx_t_3 = __Pyx_TypeCheck(__pyx_v_arg_base, __pyx_v_ndarray); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg_base, __pyx_n_s_dtype); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_v_dtype = __pyx_t_6; + __pyx_t_6 = 0; + goto __pyx_L13; + } + /*else*/ { + __Pyx_INCREF(Py_None); + __pyx_v_dtype = Py_None; + } + __pyx_L13:; + goto __pyx_L12; + } + /*else*/ { + __Pyx_INCREF(Py_None); + __pyx_v_dtype = Py_None; + } + __pyx_L12:; + __pyx_v_itemsize = -1L; + __pyx_t_2 = (__pyx_v_dtype != Py_None); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_itemsize); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_6); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_v_itemsize = __pyx_t_5; + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_kind); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = __Pyx_PyObject_Ord(__pyx_t_6); if (unlikely(__pyx_t_7 == ((long)(long)(Py_UCS4)-1))) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_v_kind = __pyx_t_7; + __pyx_v_dtype_signed = (__pyx_v_kind == 'i'); + switch (__pyx_v_kind) { + case 'i': + case 'u': + break; + case 'f': + __pyx_t_2 = (((sizeof(float)) == __pyx_v_itemsize) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_3 = __pyx_t_2; + goto __pyx_L16_bool_binop_done; + } + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_6); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_2 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L16_bool_binop_done:; + if (__pyx_t_3) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, __pyx_n_s_float, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + goto __pyx_L10_break; + } + __pyx_t_2 = (((sizeof(double)) == __pyx_v_itemsize) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_3 = __pyx_t_2; + goto __pyx_L19_bool_binop_done; + } + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_6); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_2 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L19_bool_binop_done:; + if (__pyx_t_3) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, __pyx_n_s_double, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + goto __pyx_L10_break; + } + break; + case 'c': + break; + case 'O': + break; + default: break; + } + } + } + __pyx_t_2 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_2) { + } else { + __pyx_t_3 = __pyx_t_2; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_2 = ((__pyx_v_itemsize == (sizeof(float))) != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L22_bool_binop_done:; + if (__pyx_t_3) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_float(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_3 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_3) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, __pyx_n_s_float, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + goto __pyx_L10_break; + } + /*else*/ { + PyErr_Clear(); + } + } + __pyx_t_2 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_2) { + } else { + __pyx_t_3 = __pyx_t_2; + goto __pyx_L26_bool_binop_done; + } + __pyx_t_2 = ((__pyx_v_itemsize == (sizeof(double))) != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L26_bool_binop_done:; + if (__pyx_t_3) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_double(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_3 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_3) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, __pyx_n_s_double, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + goto __pyx_L10_break; + } + /*else*/ { + PyErr_Clear(); + } + } + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, Py_None, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + goto __pyx_L10_break; + } + __pyx_L10_break:; + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_5 = PyTuple_GET_SIZE(((PyObject*)__pyx_v_args)); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 261, __pyx_L1_error) + __pyx_t_3 = ((3 < __pyx_t_5) != 0); + if (__pyx_t_3) { + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_6 = PyTuple_GET_ITEM(((PyObject*)__pyx_v_args), 3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_DECREF_SET(__pyx_v_arg, __pyx_t_6); + __pyx_t_6 = 0; + goto __pyx_L29; + } + __pyx_t_2 = (__pyx_v_kwargs != Py_None); + __pyx_t_4 = (__pyx_t_2 != 0); + if (__pyx_t_4) { + } else { + __pyx_t_3 = __pyx_t_4; + goto __pyx_L30_bool_binop_done; + } + if (unlikely(__pyx_v_kwargs == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_4 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_A_uids, ((PyObject*)__pyx_v_kwargs), Py_EQ)); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + __pyx_t_2 = (__pyx_t_4 != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L30_bool_binop_done:; + if (__pyx_t_3) { + if (unlikely(__pyx_v_kwargs == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_6 = __Pyx_PyDict_GetItem(((PyObject*)__pyx_v_kwargs), __pyx_n_s_A_uids); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF_SET(__pyx_v_arg, __pyx_t_6); + __pyx_t_6 = 0; + goto __pyx_L29; + } + /*else*/ { + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_5 = PyTuple_GET_SIZE(((PyObject*)__pyx_v_args)); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 261, __pyx_L1_error) + __pyx_t_6 = PyInt_FromSsize_t(__pyx_t_5); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_int_26); + __Pyx_GIVEREF(__pyx_int_26); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_int_26); + __Pyx_INCREF(__pyx_n_s_s); + __Pyx_GIVEREF(__pyx_n_s_s); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_n_s_s); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_t_6); + __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyString_Format(__pyx_kp_s_Expected_at_least_d_argument_s_g, __pyx_t_1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_TypeError, __pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_L29:; + while (1) { + __pyx_t_3 = (__pyx_v_ndarray != ((PyTypeObject*)Py_None)); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_2 = __Pyx_TypeCheck(__pyx_v_arg, __pyx_v_ndarray); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_dtype); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XDECREF_SET(__pyx_v_dtype, __pyx_t_1); + __pyx_t_1 = 0; + goto __pyx_L35; + } + __pyx_t_3 = __pyx_memoryview_check(__pyx_v_arg); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_base); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XDECREF_SET(__pyx_v_arg_base, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_TypeCheck(__pyx_v_arg_base, __pyx_v_ndarray); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg_base, __pyx_n_s_dtype); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XDECREF_SET(__pyx_v_dtype, __pyx_t_1); + __pyx_t_1 = 0; + goto __pyx_L36; + } + /*else*/ { + __Pyx_INCREF(Py_None); + __Pyx_XDECREF_SET(__pyx_v_dtype, Py_None); + } + __pyx_L36:; + goto __pyx_L35; + } + /*else*/ { + __Pyx_INCREF(Py_None); + __Pyx_XDECREF_SET(__pyx_v_dtype, Py_None); + } + __pyx_L35:; + __pyx_v_itemsize = -1L; + __pyx_t_3 = (__pyx_v_dtype != Py_None); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_itemsize); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_itemsize = __pyx_t_5; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_kind); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_7 = __Pyx_PyObject_Ord(__pyx_t_1); if (unlikely(__pyx_t_7 == ((long)(long)(Py_UCS4)-1))) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_kind = __pyx_t_7; + __pyx_v_dtype_signed = (__pyx_v_kind == 'i'); + switch (__pyx_v_kind) { + case 'i': + case 'u': + __pyx_t_3 = (((sizeof(short)) == __pyx_v_itemsize) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L39_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L39_bool_binop_done; + } + __pyx_t_3 = ((!((__pyx_v_short_is_signed ^ __pyx_v_dtype_signed) != 0)) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L39_bool_binop_done:; + if (__pyx_t_2) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_short, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + goto __pyx_L33_break; + } + __pyx_t_3 = (((sizeof(int)) == __pyx_v_itemsize) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L43_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L43_bool_binop_done; + } + __pyx_t_3 = ((!((__pyx_v_int_is_signed ^ __pyx_v_dtype_signed) != 0)) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L43_bool_binop_done:; + if (__pyx_t_2) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_int, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + goto __pyx_L33_break; + } + __pyx_t_3 = (((sizeof(long)) == __pyx_v_itemsize) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L47_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L47_bool_binop_done; + } + __pyx_t_3 = ((!((__pyx_v_long_is_signed ^ __pyx_v_dtype_signed) != 0)) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L47_bool_binop_done:; + if (__pyx_t_2) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_long, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + goto __pyx_L33_break; + } + break; + case 'f': + break; + case 'c': + break; + case 'O': + break; + default: break; + } + } + } + __pyx_t_3 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L51_bool_binop_done; + } + __pyx_t_3 = ((__pyx_v_itemsize == (sizeof(short))) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L51_bool_binop_done:; + if (__pyx_t_2) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_short(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_2 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_2) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_short, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + goto __pyx_L33_break; + } + /*else*/ { + PyErr_Clear(); + } + } + __pyx_t_3 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L55_bool_binop_done; + } + __pyx_t_3 = ((__pyx_v_itemsize == (sizeof(int))) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L55_bool_binop_done:; + if (__pyx_t_2) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_int(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_2 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_2) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_int, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + goto __pyx_L33_break; + } + /*else*/ { + PyErr_Clear(); + } + } + __pyx_t_3 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L59_bool_binop_done; + } + __pyx_t_3 = ((__pyx_v_itemsize == (sizeof(long))) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L59_bool_binop_done:; + if (__pyx_t_2) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_long(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_2 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_2) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_long, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + goto __pyx_L33_break; + } + /*else*/ { + PyErr_Clear(); + } + } + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, Py_None, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + goto __pyx_L33_break; + } + __pyx_L33_break:; + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_candidates = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_5 = 0; + if (unlikely(__pyx_v_signatures == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_6 = __Pyx_dict_iterator(((PyObject*)__pyx_v_signatures), 1, ((PyObject *)NULL), (&__pyx_t_9), (&__pyx_t_10)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_1); + __pyx_t_1 = __pyx_t_6; + __pyx_t_6 = 0; + while (1) { + __pyx_t_11 = __Pyx_dict_iter_next(__pyx_t_1, __pyx_t_9, &__pyx_t_5, &__pyx_t_6, NULL, NULL, __pyx_t_10); + if (unlikely(__pyx_t_11 == 0)) break; + if (unlikely(__pyx_t_11 == -1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_XDECREF_SET(__pyx_v_sig, __pyx_t_6); + __pyx_t_6 = 0; + __pyx_v_match_found = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_sig, __pyx_n_s_strip); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_14 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_14)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_14); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_12 = (__pyx_t_14) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_14, __pyx_kp_s_) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_kp_s_); + __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0; + if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_split); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_6 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_kp_s__2) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_kp_s__2); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_XDECREF_SET(__pyx_v_src_sig, __pyx_t_6); + __pyx_t_6 = 0; + __pyx_t_15 = PyList_GET_SIZE(__pyx_v_dest_sig); if (unlikely(__pyx_t_15 == ((Py_ssize_t)-1))) __PYX_ERR(0, 261, __pyx_L1_error) + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_i = __pyx_t_17; + __pyx_t_6 = PyList_GET_ITEM(__pyx_v_dest_sig, __pyx_v_i); + __Pyx_INCREF(__pyx_t_6); + __Pyx_XDECREF_SET(__pyx_v_dst_type, __pyx_t_6); + __pyx_t_6 = 0; + __pyx_t_2 = (__pyx_v_dst_type != Py_None); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_6 = __Pyx_GetItemInt(__pyx_v_src_sig, __pyx_v_i, Py_ssize_t, 1, PyInt_FromSsize_t, 0, 0, 0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_13 = PyObject_RichCompare(__pyx_t_6, __pyx_v_dst_type, Py_EQ); __Pyx_XGOTREF(__pyx_t_13); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_13); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + if (__pyx_t_3) { + __pyx_v_match_found = 1; + goto __pyx_L67; + } + /*else*/ { + __pyx_v_match_found = 0; + goto __pyx_L65_break; + } + __pyx_L67:; + } + } + __pyx_L65_break:; + __pyx_t_3 = (__pyx_v_match_found != 0); + if (__pyx_t_3) { + __pyx_t_18 = __Pyx_PyList_Append(__pyx_v_candidates, __pyx_v_sig); if (unlikely(__pyx_t_18 == ((int)-1))) __PYX_ERR(0, 261, __pyx_L1_error) + } + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = (PyList_GET_SIZE(__pyx_v_candidates) != 0); + __pyx_t_2 = ((!__pyx_t_3) != 0); + if (__pyx_t_2) { + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__3, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_9 = PyList_GET_SIZE(__pyx_v_candidates); if (unlikely(__pyx_t_9 == ((Py_ssize_t)-1))) __PYX_ERR(0, 261, __pyx_L1_error) + __pyx_t_2 = ((__pyx_t_9 > 1) != 0); + if (__pyx_t_2) { + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__4, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(0, 261, __pyx_L1_error) + } + /*else*/ { + __Pyx_XDECREF(__pyx_r); + if (unlikely(__pyx_v_signatures == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 261, __pyx_L1_error) + } + __pyx_t_1 = __Pyx_PyDict_GetItem(((PyObject*)__pyx_v_signatures), PyList_GET_ITEM(__pyx_v_candidates, 0)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + } + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_12); + __Pyx_XDECREF(__pyx_t_13); + __Pyx_XDECREF(__pyx_t_14); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.__pyx_fused_cpdef", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_dest_sig); + __Pyx_XDECREF(__pyx_v_ndarray); + __Pyx_XDECREF(__pyx_v_arg); + __Pyx_XDECREF(__pyx_v_dtype); + __Pyx_XDECREF(__pyx_v_arg_base); + __Pyx_XDECREF(__pyx_v_candidates); + __Pyx_XDECREF(__pyx_v_sig); + __Pyx_XDECREF(__pyx_v_src_sig); + __Pyx_XDECREF(__pyx_v_dst_type); + __Pyx_XDECREF(__pyx_v_kwargs); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_0_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_35_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_0_0__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_35_fit_efm = {"__pyx_fuse_0_0_fit_efm", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_0_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_35_fit_efm, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_10_fit_efm}; +static PyObject *__pyx_fuse_0_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_35_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + int __pyx_v_num_threads; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_user_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_item_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_user_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aspect_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_item_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_aspect_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_earlier_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_later_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_aspect_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_pair_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_V = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_fit_efm (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_num_threads,&__pyx_n_s_A,&__pyx_n_s_A_uids,&__pyx_n_s_A_iids,&__pyx_n_s_A_user_counts,&__pyx_n_s_A_item_counts,&__pyx_n_s_X,&__pyx_n_s_X_uids,&__pyx_n_s_X_aids,&__pyx_n_s_X_user_counts,&__pyx_n_s_X_aspect_counts,&__pyx_n_s_Y,&__pyx_n_s_Y_iids,&__pyx_n_s_Y_aids,&__pyx_n_s_Y_item_counts,&__pyx_n_s_Y_aspect_counts,&__pyx_n_s_earlier_indices,&__pyx_n_s_later_indices,&__pyx_n_s_aspect_indices,&__pyx_n_s_pair_counts,&__pyx_n_s_U1,&__pyx_n_s_U2,&__pyx_n_s_V,&__pyx_n_s_H1,&__pyx_n_s_H2,0}; + PyObject* values[26] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 1); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 2); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 3); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 4); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_user_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 5); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_item_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 6); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 7); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 8); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 9); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 10: + if (likely((values[10] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_user_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 10); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 11: + if (likely((values[11] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aspect_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 11); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 12: + if (likely((values[12] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 12); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 13: + if (likely((values[13] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 13); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 14: + if (likely((values[14] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 14); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 15: + if (likely((values[15] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_item_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 15); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 16: + if (likely((values[16] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_aspect_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 16); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 17: + if (likely((values[17] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_earlier_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 17); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 18: + if (likely((values[18] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_later_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 18); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 19: + if (likely((values[19] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_aspect_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 19); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 20: + if (likely((values[20] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pair_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 20); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 21: + if (likely((values[21] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 21); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 22: + if (likely((values[22] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 22); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 23: + if (likely((values[23] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_V)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 23); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 24: + if (likely((values[24] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 24); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 25: + if (likely((values[25] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 25); __PYX_ERR(0, 261, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_fit_efm") < 0)) __PYX_ERR(0, 261, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 26) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + } + __pyx_v_self = values[0]; + __pyx_v_num_threads = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_num_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[2], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[3], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_uids.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[4], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_iids.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_user_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[5], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_user_counts.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_item_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[6], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_item_counts.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_X = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[7], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_uids.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aids.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_user_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[10], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_user_counts.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_aspect_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[11], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aspect_counts.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_Y = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[12], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[13], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_iids.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[14], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_aids.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_item_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[15], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_item_counts.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_aspect_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[16], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_aspect_counts.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_earlier_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[17], PyBUF_WRITABLE); if (unlikely(!__pyx_v_earlier_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_later_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[18], PyBUF_WRITABLE); if (unlikely(!__pyx_v_later_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_aspect_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[19], PyBUF_WRITABLE); if (unlikely(!__pyx_v_aspect_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_pair_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[20], PyBUF_WRITABLE); if (unlikely(!__pyx_v_pair_counts.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_U1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[21], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U1.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_U2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[22], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U2.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_V = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[23], PyBUF_WRITABLE); if (unlikely(!__pyx_v_V.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_H1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[24], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H1.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_H2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[25], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H2.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._fit_efm", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_34_fit_efm(__pyx_self, __pyx_v_self, __pyx_v_num_threads, __pyx_v_A, __pyx_v_A_uids, __pyx_v_A_iids, __pyx_v_A_user_counts, __pyx_v_A_item_counts, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_aids, __pyx_v_X_user_counts, __pyx_v_X_aspect_counts, __pyx_v_Y, __pyx_v_Y_iids, __pyx_v_Y_aids, __pyx_v_Y_item_counts, __pyx_v_Y_aspect_counts, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_v_U1, __pyx_v_U2, __pyx_v_V, __pyx_v_H1, __pyx_v_H2); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_34_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_A_user_counts, __Pyx_memviewslice __pyx_v_A_item_counts, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_X_user_counts, __Pyx_memviewslice __pyx_v_X_aspect_counts, __Pyx_memviewslice __pyx_v_Y, __Pyx_memviewslice __pyx_v_Y_iids, __Pyx_memviewslice __pyx_v_Y_aids, __Pyx_memviewslice __pyx_v_Y_item_counts, __Pyx_memviewslice __pyx_v_Y_aspect_counts, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2) { + int __pyx_v_model_type; + int __pyx_v_FINER_MODEL; + int __pyx_v_DOM_MODEL; + int __pyx_v_AROUND_MODEL; + int __pyx_v_num_users; + int __pyx_v_num_items; + int __pyx_v_num_aspects; + int __pyx_v_num_explicit_factors; + int __pyx_v_num_latent_factors; + int __pyx_v_min_pair_freq; + int __pyx_v_max_pair_freq; + int __pyx_v_use_item_pair_popularity; + float __pyx_v_lambda_x; + float __pyx_v_lambda_y; + float __pyx_v_lambda_u; + float __pyx_v_lambda_h; + float __pyx_v_lambda_v; + float __pyx_v_lambda_d; + float __pyx_v_prediction; + float __pyx_v_score; + float __pyx_v_score_i; + float __pyx_v_score_j; + float __pyx_v_loss; + float __pyx_v_aspect_bpr_loss; + float __pyx_v_diff; + float __pyx_v_grad; + float __pyx_v_z; + float __pyx_v_eps; + int __pyx_v_t_count; + int __pyx_v_correct; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_k; + int __pyx_v_f; + int __pyx_v_idx; + int __pyx_v_t; + PyArrayObject *__pyx_v_U1_numerator = 0; + PyArrayObject *__pyx_v_U1_denominator = 0; + PyArrayObject *__pyx_v_U2_numerator = 0; + PyArrayObject *__pyx_v_U2_denominator = 0; + PyArrayObject *__pyx_v_V_numerator = 0; + PyArrayObject *__pyx_v_V_denominator = 0; + PyArrayObject *__pyx_v_H1_numerator = 0; + PyArrayObject *__pyx_v_H1_denominator = 0; + PyArrayObject *__pyx_v_H2_numerator = 0; + PyArrayObject *__pyx_v_H2_denominator = 0; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H1_denominator; + __Pyx_Buffer __pyx_pybuffer_H1_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H1_numerator; + __Pyx_Buffer __pyx_pybuffer_H1_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H2_denominator; + __Pyx_Buffer __pyx_pybuffer_H2_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H2_numerator; + __Pyx_Buffer __pyx_pybuffer_H2_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U1_denominator; + __Pyx_Buffer __pyx_pybuffer_U1_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U1_numerator; + __Pyx_Buffer __pyx_pybuffer_U1_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U2_denominator; + __Pyx_Buffer __pyx_pybuffer_U2_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U2_numerator; + __Pyx_Buffer __pyx_pybuffer_U2_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_V_denominator; + __Pyx_Buffer __pyx_pybuffer_V_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_V_numerator; + __Pyx_Buffer __pyx_pybuffer_V_numerator; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + float __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + PyArrayObject *__pyx_t_9 = NULL; + PyArrayObject *__pyx_t_10 = NULL; + PyArrayObject *__pyx_t_11 = NULL; + PyArrayObject *__pyx_t_12 = NULL; + PyArrayObject *__pyx_t_13 = NULL; + PyArrayObject *__pyx_t_14 = NULL; + PyArrayObject *__pyx_t_15 = NULL; + PyArrayObject *__pyx_t_16 = NULL; + PyArrayObject *__pyx_t_17 = NULL; + PyArrayObject *__pyx_t_18 = NULL; + long __pyx_t_19; + long __pyx_t_20; + Py_ssize_t __pyx_t_21; + Py_ssize_t __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + int __pyx_t_25; + Py_ssize_t __pyx_t_26; + Py_ssize_t __pyx_t_27; + Py_ssize_t __pyx_t_28; + double __pyx_t_29; + int __pyx_t_30; + int __pyx_t_31; + int __pyx_t_32; + Py_ssize_t __pyx_t_33; + Py_ssize_t __pyx_t_34; + Py_ssize_t __pyx_t_35; + Py_ssize_t __pyx_t_36; + int __pyx_t_37; + int __pyx_t_38; + int __pyx_t_39; + __pyx_t_5numpy_float32_t __pyx_t_40; + __pyx_t_5numpy_float32_t __pyx_t_41; + Py_UCS4 __pyx_t_42; + int __pyx_t_43; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_0_0_fit_efm", 0); + __pyx_pybuffer_U1_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_U1_numerator.refcount = 0; + __pyx_pybuffernd_U1_numerator.data = NULL; + __pyx_pybuffernd_U1_numerator.rcbuffer = &__pyx_pybuffer_U1_numerator; + __pyx_pybuffer_U1_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_U1_denominator.refcount = 0; + __pyx_pybuffernd_U1_denominator.data = NULL; + __pyx_pybuffernd_U1_denominator.rcbuffer = &__pyx_pybuffer_U1_denominator; + __pyx_pybuffer_U2_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_U2_numerator.refcount = 0; + __pyx_pybuffernd_U2_numerator.data = NULL; + __pyx_pybuffernd_U2_numerator.rcbuffer = &__pyx_pybuffer_U2_numerator; + __pyx_pybuffer_U2_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_U2_denominator.refcount = 0; + __pyx_pybuffernd_U2_denominator.data = NULL; + __pyx_pybuffernd_U2_denominator.rcbuffer = &__pyx_pybuffer_U2_denominator; + __pyx_pybuffer_V_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_V_numerator.refcount = 0; + __pyx_pybuffernd_V_numerator.data = NULL; + __pyx_pybuffernd_V_numerator.rcbuffer = &__pyx_pybuffer_V_numerator; + __pyx_pybuffer_V_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_V_denominator.refcount = 0; + __pyx_pybuffernd_V_denominator.data = NULL; + __pyx_pybuffernd_V_denominator.rcbuffer = &__pyx_pybuffer_V_denominator; + __pyx_pybuffer_H1_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_H1_numerator.refcount = 0; + __pyx_pybuffernd_H1_numerator.data = NULL; + __pyx_pybuffernd_H1_numerator.rcbuffer = &__pyx_pybuffer_H1_numerator; + __pyx_pybuffer_H1_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_H1_denominator.refcount = 0; + __pyx_pybuffernd_H1_denominator.data = NULL; + __pyx_pybuffernd_H1_denominator.rcbuffer = &__pyx_pybuffer_H1_denominator; + __pyx_pybuffer_H2_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_H2_numerator.refcount = 0; + __pyx_pybuffernd_H2_numerator.data = NULL; + __pyx_pybuffernd_H2_numerator.rcbuffer = &__pyx_pybuffer_H2_numerator; + __pyx_pybuffer_H2_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_H2_denominator.refcount = 0; + __pyx_pybuffernd_H2_denominator.data = NULL; + __pyx_pybuffernd_H2_denominator.rcbuffer = &__pyx_pybuffer_H2_denominator; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":270 + * """ + * cdef: + * int model_type = self.model_type # <<<<<<<<<<<<<< + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_model_type); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_model_type = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":271 + * cdef: + * int model_type = self.model_type + * int FINER_MODEL = MODEL_TYPES["Finer"] # <<<<<<<<<<<<<< + * int DOM_MODEL = MODEL_TYPES["Dominant"] + * int AROUND_MODEL = MODEL_TYPES["Around"] + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_n_u_Finer); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_FINER_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":272 + * int model_type = self.model_type + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] # <<<<<<<<<<<<<< + * int AROUND_MODEL = MODEL_TYPES["Around"] + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_3, __pyx_n_u_Dominant); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_DOM_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":273 + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] + * int AROUND_MODEL = MODEL_TYPES["Around"] # <<<<<<<<<<<<<< + * + * int num_users = self.train_set.num_users + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_n_u_Around); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_AROUND_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":275 + * int AROUND_MODEL = MODEL_TYPES["Around"] + * + * int num_users = self.train_set.num_users # <<<<<<<<<<<<<< + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_num_users); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_users = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":276 + * + * int num_users = self.train_set.num_users + * int num_items = self.train_set.num_items # <<<<<<<<<<<<<< + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_items = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":277 + * int num_users = self.train_set.num_users + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects # <<<<<<<<<<<<<< + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_aspects = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":278 + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors # <<<<<<<<<<<<<< + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 278, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 278, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_explicit_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":279 + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors # <<<<<<<<<<<<<< + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 279, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 279, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_latent_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":280 + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq # <<<<<<<<<<<<<< + * int max_pair_freq = self.max_pair_freq + * bint use_item_pair_popularity = self.use_item_pair_popularity + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_pair_freq); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_min_pair_freq = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":281 + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq # <<<<<<<<<<<<<< + * bint use_item_pair_popularity = self.use_item_pair_popularity + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_pair_freq); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_max_pair_freq = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":282 + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq + * bint use_item_pair_popularity = self.use_item_pair_popularity # <<<<<<<<<<<<<< + * + * floating lambda_x = self.lambda_x + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_use_item_pair_popularity); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_use_item_pair_popularity = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":284 + * bint use_item_pair_popularity = self.use_item_pair_popularity + * + * floating lambda_x = self.lambda_x # <<<<<<<<<<<<<< + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_x); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_x = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":285 + * + * floating lambda_x = self.lambda_x + * floating lambda_y = self.lambda_y # <<<<<<<<<<<<<< + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_y); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_y = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":286 + * floating lambda_x = self.lambda_x + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u # <<<<<<<<<<<<<< + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_u); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_u = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":287 + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h # <<<<<<<<<<<<<< + * floating lambda_v = self.lambda_v + * floating lambda_d = self.lambda_d + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_h); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_h = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":288 + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v # <<<<<<<<<<<<<< + * floating lambda_d = self.lambda_d + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_v); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_v = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":289 + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v + * floating lambda_d = self.lambda_d # <<<<<<<<<<<<<< + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_d = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":291 + * floating lambda_d = self.lambda_d + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 # <<<<<<<<<<<<<< + * int t_count = 1, correct = 0 + * int i, j, k, f, idx, t + */ + __pyx_v_eps = 1e-9; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":292 + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + * int t_count = 1, correct = 0 # <<<<<<<<<<<<<< + * int i, j, k, f, idx, t + * + */ + __pyx_v_t_count = 1; + __pyx_v_correct = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":295 + * int i, j, k, f, idx, t + * + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 295, __pyx_L1_error) + __pyx_t_9 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_9, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U1_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 295, __pyx_L1_error) + } else {__pyx_pybuffernd_U1_numerator.diminfo[0].strides = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U1_numerator.diminfo[0].shape = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U1_numerator.diminfo[1].strides = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U1_numerator.diminfo[1].shape = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_9 = 0; + __pyx_v_U1_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":296 + * + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 296, __pyx_L1_error) + __pyx_t_10 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_10, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U1_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 296, __pyx_L1_error) + } else {__pyx_pybuffernd_U1_denominator.diminfo[0].strides = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U1_denominator.diminfo[0].shape = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U1_denominator.diminfo[1].strides = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U1_denominator.diminfo[1].shape = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_10 = 0; + __pyx_v_U1_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":297 + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 297, __pyx_L1_error) + __pyx_t_11 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_11, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U2_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 297, __pyx_L1_error) + } else {__pyx_pybuffernd_U2_numerator.diminfo[0].strides = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U2_numerator.diminfo[0].shape = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U2_numerator.diminfo[1].strides = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U2_numerator.diminfo[1].shape = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_11 = 0; + __pyx_v_U2_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":298 + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 298, __pyx_L1_error) + __pyx_t_12 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_12, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U2_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 298, __pyx_L1_error) + } else {__pyx_pybuffernd_U2_denominator.diminfo[0].strides = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U2_denominator.diminfo[0].shape = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U2_denominator.diminfo[1].strides = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U2_denominator.diminfo[1].shape = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_12 = 0; + __pyx_v_U2_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":299 + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 299, __pyx_L1_error) + __pyx_t_13 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_13, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_V_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 299, __pyx_L1_error) + } else {__pyx_pybuffernd_V_numerator.diminfo[0].strides = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_V_numerator.diminfo[0].shape = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_V_numerator.diminfo[1].strides = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_V_numerator.diminfo[1].shape = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_13 = 0; + __pyx_v_V_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":300 + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_aspects); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 300, __pyx_L1_error) + __pyx_t_14 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_14, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_V_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 300, __pyx_L1_error) + } else {__pyx_pybuffernd_V_denominator.diminfo[0].strides = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_V_denominator.diminfo[0].shape = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_V_denominator.diminfo[1].strides = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_V_denominator.diminfo[1].shape = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_14 = 0; + __pyx_v_V_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":301 + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 301, __pyx_L1_error) + __pyx_t_15 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_15, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H1_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 301, __pyx_L1_error) + } else {__pyx_pybuffernd_H1_numerator.diminfo[0].strides = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H1_numerator.diminfo[0].shape = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H1_numerator.diminfo[1].strides = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H1_numerator.diminfo[1].shape = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_15 = 0; + __pyx_v_H1_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":302 + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 302, __pyx_L1_error) + __pyx_t_16 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_16, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H1_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 302, __pyx_L1_error) + } else {__pyx_pybuffernd_H1_denominator.diminfo[0].strides = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H1_denominator.diminfo[0].shape = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H1_denominator.diminfo[1].strides = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H1_denominator.diminfo[1].shape = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_16 = 0; + __pyx_v_H1_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":303 + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 303, __pyx_L1_error) + __pyx_t_17 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_17, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H2_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 303, __pyx_L1_error) + } else {__pyx_pybuffernd_H2_numerator.diminfo[0].strides = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H2_numerator.diminfo[0].shape = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H2_numerator.diminfo[1].strides = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H2_numerator.diminfo[1].shape = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_17 = 0; + __pyx_v_H2_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":304 + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * + * for t in range(1, self.max_iter + 1): + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 304, __pyx_L1_error) + __pyx_t_18 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_18, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H2_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 304, __pyx_L1_error) + } else {__pyx_pybuffernd_H2_denominator.diminfo[0].strides = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H2_denominator.diminfo[0].shape = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H2_denominator.diminfo[1].strides = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H2_denominator.diminfo[1].shape = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_18 = 0; + __pyx_v_H2_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":306 + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * + * for t in range(1, self.max_iter + 1): # <<<<<<<<<<<<<< + * + * loss = 0. + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_iter); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_t_3, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_19 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_19 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_20 = __pyx_t_19; + for (__pyx_t_2 = 1; __pyx_t_2 < __pyx_t_20; __pyx_t_2+=1) { + __pyx_v_t = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":308 + * for t in range(1, self.max_iter + 1): + * + * loss = 0. # <<<<<<<<<<<<<< + * aspect_bpr_loss = 0. + * correct = 0 + */ + __pyx_v_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":309 + * + * loss = 0. + * aspect_bpr_loss = 0. # <<<<<<<<<<<<<< + * correct = 0 + * U1_numerator.fill(0) + */ + __pyx_v_aspect_bpr_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":310 + * loss = 0. + * aspect_bpr_loss = 0. + * correct = 0 # <<<<<<<<<<<<<< + * U1_numerator.fill(0) + * U1_denominator.fill(0) + */ + __pyx_v_correct = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":311 + * aspect_bpr_loss = 0. + * correct = 0 + * U1_numerator.fill(0) # <<<<<<<<<<<<<< + * U1_denominator.fill(0) + * U2_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U1_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 311, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 311, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":312 + * correct = 0 + * U1_numerator.fill(0) + * U1_denominator.fill(0) # <<<<<<<<<<<<<< + * U2_numerator.fill(0) + * U2_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U1_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 312, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 312, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":313 + * U1_numerator.fill(0) + * U1_denominator.fill(0) + * U2_numerator.fill(0) # <<<<<<<<<<<<<< + * U2_denominator.fill(0) + * V_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U2_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 313, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 313, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":314 + * U1_denominator.fill(0) + * U2_numerator.fill(0) + * U2_denominator.fill(0) # <<<<<<<<<<<<<< + * V_numerator.fill(0) + * V_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U2_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 314, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 314, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":315 + * U2_numerator.fill(0) + * U2_denominator.fill(0) + * V_numerator.fill(0) # <<<<<<<<<<<<<< + * V_denominator.fill(0) + * H1_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_V_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 315, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 315, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":316 + * U2_denominator.fill(0) + * V_numerator.fill(0) + * V_denominator.fill(0) # <<<<<<<<<<<<<< + * H1_numerator.fill(0) + * H1_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_V_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 316, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 316, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":317 + * V_numerator.fill(0) + * V_denominator.fill(0) + * H1_numerator.fill(0) # <<<<<<<<<<<<<< + * H1_denominator.fill(0) + * H2_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H1_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":318 + * V_denominator.fill(0) + * H1_numerator.fill(0) + * H1_denominator.fill(0) # <<<<<<<<<<<<<< + * H2_numerator.fill(0) + * H2_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H1_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":319 + * H1_numerator.fill(0) + * H1_denominator.fill(0) + * H2_numerator.fill(0) # <<<<<<<<<<<<<< + * H2_denominator.fill(0) + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H2_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":320 + * H1_denominator.fill(0) + * H2_numerator.fill(0) + * H2_denominator.fill(0) # <<<<<<<<<<<<<< + * + * with nogil, parallel(num_threads=num_threads): + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H2_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":322 + * H2_denominator.fill(0) + * + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel reduction(-:__pyx_v_aspect_bpr_loss) reduction(+:__pyx_v_correct) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) private(__pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_27, __pyx_t_28, __pyx_t_29, __pyx_t_30, __pyx_t_31, __pyx_t_32, __pyx_t_33, __pyx_t_34, __pyx_t_35, __pyx_t_36, __pyx_t_37, __pyx_t_38, __pyx_t_39, __pyx_t_4, __pyx_t_40, __pyx_t_41) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_num_threads) + #endif /* _OPENMP */ + { + #ifdef _OPENMP + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + Py_BEGIN_ALLOW_THREADS + #endif /* _OPENMP */ + + /* "cornac/models/comparer/recom_comparer_obj.pyx":324 + * with nogil, parallel(num_threads=num_threads): + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): # <<<<<<<<<<<<<< + * i = earlier_indices[idx] + * j = later_indices[idx] + */ + if (unlikely(!__pyx_v_pair_counts.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("pair_counts"); __PYX_ERR(0, 324, __pyx_L12_error) } + __pyx_t_21 = (__pyx_v_pair_counts.shape[0]); + if ((1 == 0)) abort(); + { + float __pyx_parallel_temp0 = ((float)__PYX_NAN()); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + float __pyx_parallel_temp2 = ((float)__PYX_NAN()); + int __pyx_parallel_temp3 = ((int)0xbad0bad0); + float __pyx_parallel_temp4 = ((float)__PYX_NAN()); + int __pyx_parallel_temp5 = ((int)0xbad0bad0); + int __pyx_parallel_temp6 = ((int)0xbad0bad0); + int __pyx_parallel_temp7 = ((int)0xbad0bad0); + int __pyx_parallel_temp8 = ((int)0xbad0bad0); + float __pyx_parallel_temp9 = ((float)__PYX_NAN()); + float __pyx_parallel_temp10 = ((float)__PYX_NAN()); + int __pyx_parallel_temp11 = ((int)0xbad0bad0); + float __pyx_parallel_temp12 = ((float)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_23 = (__pyx_t_21 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_23 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_diff) lastprivate(__pyx_v_f) lastprivate(__pyx_v_grad) lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_score_i) lastprivate(__pyx_v_score_j) lastprivate(__pyx_v_t_count) lastprivate(__pyx_v_z) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_23; __pyx_t_22++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_diff = ((float)__PYX_NAN()); + __pyx_v_f = ((int)0xbad0bad0); + __pyx_v_grad = ((float)__PYX_NAN()); + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_score_i = ((float)__PYX_NAN()); + __pyx_v_score_j = ((float)__PYX_NAN()); + __pyx_v_t_count = ((int)0xbad0bad0); + __pyx_v_z = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":325 + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + * i = earlier_indices[idx] # <<<<<<<<<<<<<< + * j = later_indices[idx] + * k = aspect_indices[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i = (*((short *) ( /* dim=0 */ (__pyx_v_earlier_indices.data + __pyx_t_24 * __pyx_v_earlier_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":326 + * for idx in prange(pair_counts.shape[0]): + * i = earlier_indices[idx] + * j = later_indices[idx] # <<<<<<<<<<<<<< + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_j = (*((short *) ( /* dim=0 */ (__pyx_v_later_indices.data + __pyx_t_24 * __pyx_v_later_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":327 + * i = earlier_indices[idx] + * j = later_indices[idx] + * k = aspect_indices[idx] # <<<<<<<<<<<<<< + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_k = (*((short *) ( /* dim=0 */ (__pyx_v_aspect_indices.data + __pyx_t_24 * __pyx_v_aspect_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":328 + * j = later_indices[idx] + * k = aspect_indices[idx] + * t_count = pair_counts[idx] # <<<<<<<<<<<<<< + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_t_count = (*((short *) ( /* dim=0 */ (__pyx_v_pair_counts.data + __pyx_t_24 * __pyx_v_pair_counts.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":329 + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: # <<<<<<<<<<<<<< + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + */ + __pyx_t_25 = ((__pyx_v_t_count < __pyx_v_min_pair_freq) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L19_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_t_count > __pyx_v_max_pair_freq) != 0); + __pyx_t_4 = __pyx_t_25; + __pyx_L19_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":330 + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue # <<<<<<<<<<<<<< + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + */ + goto __pyx_L14_continue; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":329 + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: # <<<<<<<<<<<<<< + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":331 + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) # <<<<<<<<<<<<<< + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = 0; + __pyx_t_27 = __pyx_v_k; + __pyx_t_28 = 0; + __pyx_v_score_i = __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_24 * __pyx_v_U2.strides[0]) ) + __pyx_t_26 * __pyx_v_U2.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_27 * __pyx_v_V.strides[0]) ) + __pyx_t_28 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":332 + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) # <<<<<<<<<<<<<< + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + */ + __pyx_t_28 = __pyx_v_j; + __pyx_t_27 = 0; + __pyx_t_26 = __pyx_v_k; + __pyx_t_24 = 0; + __pyx_v_score_j = __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_28 * __pyx_v_U2.strides[0]) ) + __pyx_t_27 * __pyx_v_U2.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_26 * __pyx_v_V.strides[0]) ) + __pyx_t_24 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":333 + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): # <<<<<<<<<<<<<< + * diff = score_j - score_i + * if not use_item_pair_popularity: + */ + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_FINER_MODEL) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_DOM_MODEL) != 0); + if (!__pyx_t_25) { + goto __pyx_L24_next_or; + } else { + } + __pyx_t_25 = ((__pyx_v_score_i < __pyx_v_score_j) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_L24_next_or:; + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_AROUND_MODEL) != 0); + if (__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_score_i > __pyx_v_score_j) != 0); + __pyx_t_4 = __pyx_t_25; + __pyx_L22_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":334 + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i # <<<<<<<<<<<<<< + * if not use_item_pair_popularity: + * t_count = 1 + */ + __pyx_v_diff = (__pyx_v_score_j - __pyx_v_score_i); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":335 + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + * if not use_item_pair_popularity: # <<<<<<<<<<<<<< + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + */ + __pyx_t_4 = ((!(__pyx_v_use_item_pair_popularity != 0)) != 0); + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":336 + * diff = score_j - score_i + * if not use_item_pair_popularity: + * t_count = 1 # <<<<<<<<<<<<<< + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + */ + __pyx_v_t_count = 1; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":335 + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + * if not use_item_pair_popularity: # <<<<<<<<<<<<<< + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":337 + * if not use_item_pair_popularity: + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) # <<<<<<<<<<<<<< + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: + */ + __pyx_t_29 = (1.0 + exp((-__pyx_v_diff))); + if (unlikely(__pyx_t_29 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 337, __pyx_L16_error) + } + __pyx_v_aspect_bpr_loss = (__pyx_v_aspect_bpr_loss - ((__pyx_v_lambda_d * (1.0 + log(__pyx_v_t_count))) * log((1.0 / __pyx_t_29)))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":338 + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) # <<<<<<<<<<<<<< + * if z < .5: + * correct += 1 + */ + __pyx_t_29 = (1.0 + exp(__pyx_v_diff)); + if (unlikely(__pyx_t_29 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 338, __pyx_L16_error) + } + __pyx_v_z = (1.0 / __pyx_t_29); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":339 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + */ + __pyx_t_4 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":340 + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: + * correct += 1 # <<<<<<<<<<<<<< + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): + */ + __pyx_v_correct = (__pyx_v_correct + 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":339 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":341 + * if z < .5: + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z # <<<<<<<<<<<<<< + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] + */ + __pyx_v_grad = ((__pyx_v_lambda_d * (1.0 + log(__pyx_v_t_count))) * __pyx_v_z); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":342 + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): # <<<<<<<<<<<<<< + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] + */ + __pyx_t_30 = __pyx_v_num_explicit_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_f = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":343 + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] # <<<<<<<<<<<<<< + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] + */ + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = __pyx_v_f; + __pyx_t_27 = __pyx_v_i; + __pyx_t_28 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (__pyx_v_grad * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_24 * __pyx_v_V.strides[0]) ) + __pyx_t_26 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":344 + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] # <<<<<<<<<<<<<< + * V_denominator[k, f] += grad * U2[i, f] + * V_numerator[k, f] += grad * U2[j, f] + */ + __pyx_t_26 = __pyx_v_k; + __pyx_t_24 = __pyx_v_f; + __pyx_t_28 = __pyx_v_j; + __pyx_t_27 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += (__pyx_v_grad * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_26 * __pyx_v_V.strides[0]) ) + __pyx_t_24 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":345 + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] # <<<<<<<<<<<<<< + * V_numerator[k, f] += grad * U2[j, f] + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = __pyx_v_f; + __pyx_t_27 = __pyx_v_k; + __pyx_t_28 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += (__pyx_v_grad * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_24 * __pyx_v_U2.strides[0]) ) + __pyx_t_26 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":346 + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] + * V_numerator[k, f] += grad * U2[j, f] # <<<<<<<<<<<<<< + * + * for idx in prange(A.shape[0]): + */ + __pyx_t_26 = __pyx_v_j; + __pyx_t_24 = __pyx_v_f; + __pyx_t_28 = __pyx_v_k; + __pyx_t_27 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += (__pyx_v_grad * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_26 * __pyx_v_U2.strides[0]) ) + __pyx_t_24 * __pyx_v_U2.strides[1]) )))); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":333 + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): # <<<<<<<<<<<<<< + * diff = score_j - score_i + * if not use_item_pair_popularity: + */ + } + goto __pyx_L32; + __pyx_L14_continue:; + goto __pyx_L32; + __pyx_L16_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L31; + __pyx_L31:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates0) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_aspect_bpr_loss; + __pyx_parallel_temp1 = __pyx_v_correct; + __pyx_parallel_temp2 = __pyx_v_diff; + __pyx_parallel_temp3 = __pyx_v_f; + __pyx_parallel_temp4 = __pyx_v_grad; + __pyx_parallel_temp5 = __pyx_v_i; + __pyx_parallel_temp6 = __pyx_v_idx; + __pyx_parallel_temp7 = __pyx_v_j; + __pyx_parallel_temp8 = __pyx_v_k; + __pyx_parallel_temp9 = __pyx_v_score_i; + __pyx_parallel_temp10 = __pyx_v_score_j; + __pyx_parallel_temp11 = __pyx_v_t_count; + __pyx_parallel_temp12 = __pyx_v_z; + } + __pyx_L32:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_aspect_bpr_loss = __pyx_parallel_temp0; + __pyx_v_correct = __pyx_parallel_temp1; + __pyx_v_diff = __pyx_parallel_temp2; + __pyx_v_f = __pyx_parallel_temp3; + __pyx_v_grad = __pyx_parallel_temp4; + __pyx_v_i = __pyx_parallel_temp5; + __pyx_v_idx = __pyx_parallel_temp6; + __pyx_v_j = __pyx_parallel_temp7; + __pyx_v_k = __pyx_parallel_temp8; + __pyx_v_score_i = __pyx_parallel_temp9; + __pyx_v_score_j = __pyx_parallel_temp10; + __pyx_v_t_count = __pyx_parallel_temp11; + __pyx_v_z = __pyx_parallel_temp12; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":348 + * V_numerator[k, f] += grad * U2[j, f] + * + * for idx in prange(A.shape[0]): # <<<<<<<<<<<<<< + * i = A_uids[idx] + * j = A_iids[idx] + */ + if (unlikely(!__pyx_v_A.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("A"); __PYX_ERR(0, 348, __pyx_L12_error) } + __pyx_t_23 = (__pyx_v_A.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_21 = (__pyx_t_23 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_21 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":349 + * + * for idx in prange(A.shape[0]): + * i = A_uids[idx] # <<<<<<<<<<<<<< + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i = (*((short *) ( /* dim=0 */ (__pyx_v_A_uids.data + __pyx_t_24 * __pyx_v_A_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":350 + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + * j = A_iids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_j = (*((short *) ( /* dim=0 */ (__pyx_v_A_iids.data + __pyx_t_24 * __pyx_v_A_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":351 + * i = A_uids[idx] + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ # <<<<<<<<<<<<<< + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = 0; + __pyx_t_27 = __pyx_v_j; + __pyx_t_28 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":352 + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) # <<<<<<<<<<<<<< + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = 0; + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = 0; + __pyx_v_prediction = (__pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_24 * __pyx_v_U1.strides[0]) ) + __pyx_t_26 * __pyx_v_U1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_27 * __pyx_v_U2.strides[0]) ) + __pyx_t_28 * __pyx_v_U2.strides[1]) )))), 1) + __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_latent_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_33 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_35 * __pyx_v_H2.strides[0]) ) + __pyx_t_36 * __pyx_v_H2.strides[1]) )))), 1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":353 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] # <<<<<<<<<<<<<< + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_36 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_A.data + __pyx_t_36 * __pyx_v_A.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":354 + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + * loss += (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_prediction - __pyx_v_score) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":355 + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] + */ + __pyx_t_30 = __pyx_v_num_explicit_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_k = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":356 + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] # <<<<<<<<<<<<<< + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] + */ + __pyx_t_36 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U1_numerator.diminfo[1].strides) += (__pyx_v_score * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_36 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":357 + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] # <<<<<<<<<<<<<< + * U2_numerator[j, k] += score * U1[i, k] + * U2_denominator[j, k] += prediction * U1[i, k] + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_36 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":358 + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] # <<<<<<<<<<<<<< + * U2_denominator[j, k] += prediction * U1[i, k] + * + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += (__pyx_v_score * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_36 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":359 + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] + * U2_denominator[j, k] += prediction * U1[i, k] # <<<<<<<<<<<<<< + * + * for k in range(num_latent_factors): + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_36 * __pyx_v_U1.strides[1]) )))); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":361 + * U2_denominator[j, k] += prediction * U1[i, k] + * + * for k in range(num_latent_factors): # <<<<<<<<<<<<<< + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] + */ + __pyx_t_30 = __pyx_v_num_latent_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_k = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":362 + * + * for k in range(num_latent_factors): + * H1_numerator[i, k] += score * H2[j, k] # <<<<<<<<<<<<<< + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] + */ + __pyx_t_36 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H1_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H1_numerator.diminfo[1].strides) += (__pyx_v_score * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_36 * __pyx_v_H2.strides[0]) ) + __pyx_t_35 * __pyx_v_H2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":363 + * for k in range(num_latent_factors): + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] # <<<<<<<<<<<<<< + * H2_numerator[j, k] += score * H1[i, k] + * H2_denominator[j, k] += prediction * H1[i, k] + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H1_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_35 * __pyx_v_H2.strides[0]) ) + __pyx_t_36 * __pyx_v_H2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":364 + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] # <<<<<<<<<<<<<< + * H2_denominator[j, k] += prediction * H1[i, k] + * + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H2_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H2_numerator.diminfo[1].strides) += (__pyx_v_score * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_36 * __pyx_v_H1.strides[0]) ) + __pyx_t_35 * __pyx_v_H1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":365 + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] + * H2_denominator[j, k] += prediction * H1[i, k] # <<<<<<<<<<<<<< + * + * for idx in prange(X.shape[0]): + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H2_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_35 * __pyx_v_H1.strides[0]) ) + __pyx_t_36 * __pyx_v_H1.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":367 + * H2_denominator[j, k] += prediction * H1[i, k] + * + * for idx in prange(X.shape[0]): # <<<<<<<<<<<<<< + * i = X_uids[idx] + * j = X_aids[idx] + */ + if (unlikely(!__pyx_v_X.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("X"); __PYX_ERR(0, 367, __pyx_L12_error) } + __pyx_t_21 = (__pyx_v_X.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_23 = (__pyx_t_21 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_23 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_23; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":368 + * + * for idx in prange(X.shape[0]): + * i = X_uids[idx] # <<<<<<<<<<<<<< + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + */ + __pyx_t_36 = __pyx_v_idx; + __pyx_v_i = (*((short *) ( /* dim=0 */ (__pyx_v_X_uids.data + __pyx_t_36 * __pyx_v_X_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":369 + * for idx in prange(X.shape[0]): + * i = X_uids[idx] + * j = X_aids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] + */ + __pyx_t_36 = __pyx_v_idx; + __pyx_v_j = (*((short *) ( /* dim=0 */ (__pyx_v_X_aids.data + __pyx_t_36 * __pyx_v_X_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":370 + * i = X_uids[idx] + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) # <<<<<<<<<<<<<< + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = 0; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = 0; + __pyx_v_prediction = __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_36 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_33 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":371 + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] # <<<<<<<<<<<<<< + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_33 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_X.data + __pyx_t_33 * __pyx_v_X.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":372 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_x * (__pyx_v_prediction - __pyx_v_score)) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":373 + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + */ + __pyx_t_30 = __pyx_v_num_explicit_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_k = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":374 + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] # <<<<<<<<<<<<<< + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_36, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_score) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_33 * __pyx_v_U1.strides[0]) ) + __pyx_t_34 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":375 + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] # <<<<<<<<<<<<<< + * U1_numerator[i, k] += lambda_x * score * V[j, k] + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + __pyx_t_36 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_prediction) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_33 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":376 + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] # <<<<<<<<<<<<<< + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + * + */ + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_36, __pyx_pybuffernd_U1_numerator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_score) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_33 * __pyx_v_V.strides[0]) ) + __pyx_t_34 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":377 + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] # <<<<<<<<<<<<<< + * + * for idx in prange(Y.shape[0]): + */ + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_prediction) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_33 * __pyx_v_V.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":379 + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + * + * for idx in prange(Y.shape[0]): # <<<<<<<<<<<<<< + * i = Y_iids[idx] + * j = Y_aids[idx] + */ + if (unlikely(!__pyx_v_Y.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("Y"); __PYX_ERR(0, 379, __pyx_L12_error) } + __pyx_t_23 = (__pyx_v_Y.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_21 = (__pyx_t_23 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_21 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":380 + * + * for idx in prange(Y.shape[0]): + * i = Y_iids[idx] # <<<<<<<<<<<<<< + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + */ + __pyx_t_33 = __pyx_v_idx; + __pyx_v_i = (*((short *) ( /* dim=0 */ (__pyx_v_Y_iids.data + __pyx_t_33 * __pyx_v_Y_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":381 + * for idx in prange(Y.shape[0]): + * i = Y_iids[idx] + * j = Y_aids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] + */ + __pyx_t_33 = __pyx_v_idx; + __pyx_v_j = (*((short *) ( /* dim=0 */ (__pyx_v_Y_aids.data + __pyx_t_33 * __pyx_v_Y_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":382 + * i = Y_iids[idx] + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) # <<<<<<<<<<<<<< + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = 0; + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = 0; + __pyx_v_prediction = __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_33 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_36 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":383 + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] # <<<<<<<<<<<<<< + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_36 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_Y.data + __pyx_t_36 * __pyx_v_Y.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":384 + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_y * (__pyx_v_prediction - __pyx_v_score)) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":385 + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + */ + __pyx_t_30 = __pyx_v_num_explicit_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_k = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":386 + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] # <<<<<<<<<<<<<< + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_score) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_36 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":387 + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] # <<<<<<<<<<<<<< + * U2_numerator[i, k] += lambda_y * score * V[j, k] + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_prediction) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_36 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":388 + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] # <<<<<<<<<<<<<< + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] + * + */ + __pyx_t_36 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_score) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_36 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":389 + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] # <<<<<<<<<<<<<< + * + * # update V + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_prediction) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_36 * __pyx_v_V.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":392 + * + * # update V + * for i in prange(num_aspects): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] + */ + __pyx_t_30 = __pyx_v_num_aspects; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + float __pyx_parallel_temp2 = ((float)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_32 = (__pyx_t_30 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_32 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_32; __pyx_t_31++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_31); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":393 + * # update V + * for i in prange(num_aspects): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_explicit_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":394 + * for i in prange(num_aspects): + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] # <<<<<<<<<<<<<< + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_v * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_36 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_33 * __pyx_v_V.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":395 + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps # <<<<<<<<<<<<<< + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + * + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + __pyx_t_28 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += (((((*((short *) ( /* dim=0 */ (__pyx_v_X_aspect_counts.data + __pyx_t_33 * __pyx_v_X_aspect_counts.strides[0]) ))) + (*((short *) ( /* dim=0 */ (__pyx_v_Y_aspect_counts.data + __pyx_t_34 * __pyx_v_Y_aspect_counts.strides[0]) )))) * __pyx_v_lambda_v) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_36 * __pyx_v_V.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":396 + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) # <<<<<<<<<<<<<< + * + * # update U1, H1 + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_V_numerator.diminfo[1].strides)); + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_36, __pyx_pybuffernd_V_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_41 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 396, __pyx_L61_error) + } + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_36 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_41)); + } + goto __pyx_L66; + __pyx_L61_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L65; + __pyx_L65:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates1) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L66:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":399 + * + * # update U1, H1 + * for i in prange(num_users): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] + */ + __pyx_t_32 = __pyx_v_num_users; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + float __pyx_parallel_temp2 = ((float)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_30 = (__pyx_t_32 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_30 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_31); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":400 + * # update U1, H1 + * for i in prange(num_users): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_explicit_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":401 + * for i in prange(num_users): + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] # <<<<<<<<<<<<<< + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_u * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_36 * __pyx_v_U1.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_33 * __pyx_v_U1.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":402 + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps # <<<<<<<<<<<<<< + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_27 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += (((((*((short *) ( /* dim=0 */ (__pyx_v_A_user_counts.data + __pyx_t_33 * __pyx_v_A_user_counts.strides[0]) ))) + (*((short *) ( /* dim=0 */ (__pyx_v_X_user_counts.data + __pyx_t_34 * __pyx_v_X_user_counts.strides[0]) )))) * __pyx_v_lambda_u) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_36 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":403 + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) # <<<<<<<<<<<<<< + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_36, __pyx_pybuffernd_U1_numerator.diminfo[1].strides)); + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U1_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 403, __pyx_L69_error) + } + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_36 * __pyx_v_U1.strides[1]) )) *= sqrt((__pyx_t_41 / __pyx_t_40)); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":404 + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): # <<<<<<<<<<<<<< + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_latent_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":405 + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] # <<<<<<<<<<<<<< + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_h * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_36 * __pyx_v_H1.strides[0]) ) + __pyx_t_35 * __pyx_v_H1.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_34 * __pyx_v_H1.strides[0]) ) + __pyx_t_33 * __pyx_v_H1.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":406 + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps # <<<<<<<<<<<<<< + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + * + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_H1_denominator.diminfo[1].strides) += ((((*((short *) ( /* dim=0 */ (__pyx_v_A_user_counts.data + __pyx_t_33 * __pyx_v_A_user_counts.strides[0]) ))) * __pyx_v_lambda_h) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_34 * __pyx_v_H1.strides[0]) ) + __pyx_t_35 * __pyx_v_H1.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":407 + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) # <<<<<<<<<<<<<< + * + * # update U2, H2 + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_H1_numerator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H1_numerator.diminfo[1].strides)); + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_H1_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_41 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 407, __pyx_L69_error) + } + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_35 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_41)); + } + goto __pyx_L76; + __pyx_L69_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L75; + __pyx_L75:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates2) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L76:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":410 + * + * # update U2, H2 + * for i in prange(num_items): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] + */ + __pyx_t_30 = __pyx_v_num_items; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + float __pyx_parallel_temp2 = ((float)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_32 = (__pyx_t_30 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_32 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_32; __pyx_t_31++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_31); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":411 + * # update U2, H2 + * for i in prange(num_items): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_explicit_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":412 + * for i in prange(num_items): + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] # <<<<<<<<<<<<<< + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_u * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_33 * __pyx_v_U2.strides[0]) ) + __pyx_t_28 * __pyx_v_U2.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":413 + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps # <<<<<<<<<<<<<< + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): + */ + __pyx_t_28 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_36 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (((((*((short *) ( /* dim=0 */ (__pyx_v_A_item_counts.data + __pyx_t_28 * __pyx_v_A_item_counts.strides[0]) ))) + (*((short *) ( /* dim=0 */ (__pyx_v_Y_item_counts.data + __pyx_t_33 * __pyx_v_Y_item_counts.strides[0]) )))) * __pyx_v_lambda_u) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":414 + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) # <<<<<<<<<<<<<< + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U2_numerator.diminfo[1].strides)); + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U2_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 414, __pyx_L79_error) + } + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )) *= sqrt((__pyx_t_41 / __pyx_t_40)); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":415 + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): # <<<<<<<<<<<<<< + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_latent_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":416 + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] # <<<<<<<<<<<<<< + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_h * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_35 * __pyx_v_H2.strides[0]) ) + __pyx_t_34 * __pyx_v_H2.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_33 * __pyx_v_H2.strides[0]) ) + __pyx_t_28 * __pyx_v_H2.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":417 + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps # <<<<<<<<<<<<<< + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + */ + __pyx_t_28 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_H2_denominator.diminfo[1].strides) += ((((*((short *) ( /* dim=0 */ (__pyx_v_A_item_counts.data + __pyx_t_28 * __pyx_v_A_item_counts.strides[0]) ))) * __pyx_v_lambda_h) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_33 * __pyx_v_H2.strides[0]) ) + __pyx_t_34 * __pyx_v_H2.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":418 + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H2_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H2_numerator.diminfo[1].strides)); + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H2_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_41 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 418, __pyx_L79_error) + } + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_34 * __pyx_v_H2.strides[0]) ) + __pyx_t_33 * __pyx_v_H2.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_41)); + } + goto __pyx_L86; + __pyx_L79_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L85; + __pyx_L85:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates3) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L86:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + goto __pyx_L88; + __pyx_L12_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L88; + __pyx_L88:; + #ifdef _OPENMP + Py_END_ALLOW_THREADS + #else +{ +#ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #endif /* _OPENMP */ + /* Clean up any temporaries */ + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + #ifndef _OPENMP +} +#endif /* _OPENMP */ + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L8_error; + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":322 + * H2_denominator.fill(0) + * + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L9; + } + __pyx_L8_error: { + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L1_error; + } + __pyx_L9:; + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":420 + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 420, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 420, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":421 + * + * if self.verbose: + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) # <<<<<<<<<<<<<< + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): + */ + __pyx_t_1 = PyTuple_New(8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_21 = 0; + __pyx_t_42 = 127; + __Pyx_INCREF(__pyx_kp_u_iter); + __pyx_t_21 += 6; + __Pyx_GIVEREF(__pyx_kp_u_iter); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_kp_u_iter); + __pyx_t_3 = __Pyx_PyUnicode_From_int(__pyx_v_t, 0, ' ', 'd'); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_kp_u_loss); + __pyx_t_21 += 8; + __Pyx_GIVEREF(__pyx_kp_u_loss); + PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_kp_u_loss); + __pyx_t_3 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyObject_Format(__pyx_t_3, __pyx_kp_u_2f); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_42 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) > __pyx_t_42) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) : __pyx_t_42; + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 3, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_INCREF(__pyx_kp_u_aspect_bpr_loss); + __pyx_t_21 += 19; + __Pyx_GIVEREF(__pyx_kp_u_aspect_bpr_loss); + PyTuple_SET_ITEM(__pyx_t_1, 4, __pyx_kp_u_aspect_bpr_loss); + __pyx_t_6 = PyFloat_FromDouble(__pyx_v_aspect_bpr_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_3 = __Pyx_PyObject_Format(__pyx_t_6, __pyx_kp_u_2f); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_42 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) > __pyx_t_42) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) : __pyx_t_42; + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 5, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_kp_u_correct); + __pyx_t_21 += 11; + __Pyx_GIVEREF(__pyx_kp_u_correct); + PyTuple_SET_ITEM(__pyx_t_1, 6, __pyx_kp_u_correct); + __pyx_t_3 = __Pyx_PyUnicode_From_int(__pyx_v_correct, 0, ' ', 'd'); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 7, __pyx_t_3); + __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyUnicode_Join(__pyx_t_1, 8, __pyx_t_21, __pyx_t_42); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":420 + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":423 + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): # <<<<<<<<<<<<<< + * break + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_25 = (__pyx_t_1 != Py_None); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_43 = (__pyx_t_25 != 0); + if (__pyx_t_43) { + } else { + __pyx_t_4 = __pyx_t_43; + goto __pyx_L91_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stop); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + if (unlikely(__pyx_t_6 == Py_None)) { + PyErr_SetString(PyExc_TypeError, "argument after ** must be a mapping, not NoneType"); + __PYX_ERR(0, 423, __pyx_L1_error) + } + if (likely(PyDict_CheckExact(__pyx_t_6))) { + __pyx_t_3 = PyDict_Copy(__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } else { + __pyx_t_3 = PyObject_CallFunctionObjArgs((PyObject*)&PyDict_Type, __pyx_t_6, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_empty_tuple, __pyx_t_3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_43 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_43 < 0)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_4 = __pyx_t_43; + __pyx_L91_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":424 + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): + * break # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + goto __pyx_L4_break; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":423 + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): # <<<<<<<<<<<<<< + * break + * + */ + } + } + __pyx_L4_break:; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":426 + * break + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":427 + * + * if self.verbose: + * print('Optimization finished!') # <<<<<<<<<<<<<< + * + * @cython.boundscheck(False) + */ + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":426 + * break + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":261 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_efm(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, integral[:] A_user_counts, integral[:] A_item_counts, + * floating[:] X, integral[:] X_uids, integral[:] X_aids, integral[:] X_user_counts, integral[:] X_aspect_counts, + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer); + __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._fit_efm", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + goto __pyx_L2; + __pyx_L0:; + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer); + __pyx_L2:; + __Pyx_XDECREF((PyObject *)__pyx_v_U1_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_U1_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_U2_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_U2_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_V_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_V_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_H1_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_H1_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_H2_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_H2_denominator); + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_user_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_item_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_user_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aspect_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_item_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_aspect_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_earlier_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_later_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_aspect_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_pair_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_V, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H2, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_0_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_37_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_0_1__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_37_fit_efm = {"__pyx_fuse_0_1_fit_efm", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_0_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_37_fit_efm, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_10_fit_efm}; +static PyObject *__pyx_fuse_0_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_37_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + int __pyx_v_num_threads; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_user_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_item_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_user_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aspect_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_item_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_aspect_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_earlier_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_later_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_aspect_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_pair_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_V = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_fit_efm (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_num_threads,&__pyx_n_s_A,&__pyx_n_s_A_uids,&__pyx_n_s_A_iids,&__pyx_n_s_A_user_counts,&__pyx_n_s_A_item_counts,&__pyx_n_s_X,&__pyx_n_s_X_uids,&__pyx_n_s_X_aids,&__pyx_n_s_X_user_counts,&__pyx_n_s_X_aspect_counts,&__pyx_n_s_Y,&__pyx_n_s_Y_iids,&__pyx_n_s_Y_aids,&__pyx_n_s_Y_item_counts,&__pyx_n_s_Y_aspect_counts,&__pyx_n_s_earlier_indices,&__pyx_n_s_later_indices,&__pyx_n_s_aspect_indices,&__pyx_n_s_pair_counts,&__pyx_n_s_U1,&__pyx_n_s_U2,&__pyx_n_s_V,&__pyx_n_s_H1,&__pyx_n_s_H2,0}; + PyObject* values[26] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 1); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 2); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 3); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 4); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_user_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 5); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_item_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 6); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 7); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 8); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 9); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 10: + if (likely((values[10] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_user_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 10); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 11: + if (likely((values[11] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aspect_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 11); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 12: + if (likely((values[12] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 12); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 13: + if (likely((values[13] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 13); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 14: + if (likely((values[14] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 14); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 15: + if (likely((values[15] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_item_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 15); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 16: + if (likely((values[16] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_aspect_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 16); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 17: + if (likely((values[17] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_earlier_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 17); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 18: + if (likely((values[18] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_later_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 18); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 19: + if (likely((values[19] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_aspect_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 19); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 20: + if (likely((values[20] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pair_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 20); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 21: + if (likely((values[21] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 21); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 22: + if (likely((values[22] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 22); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 23: + if (likely((values[23] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_V)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 23); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 24: + if (likely((values[24] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 24); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 25: + if (likely((values[25] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 25); __PYX_ERR(0, 261, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_fit_efm") < 0)) __PYX_ERR(0, 261, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 26) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + } + __pyx_v_self = values[0]; + __pyx_v_num_threads = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_num_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[2], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[3], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_uids.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[4], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_iids.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_user_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[5], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_user_counts.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_item_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[6], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_item_counts.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_X = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[7], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_uids.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aids.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_user_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[10], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_user_counts.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_aspect_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[11], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aspect_counts.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_Y = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[12], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[13], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_iids.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[14], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_aids.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_item_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[15], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_item_counts.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_aspect_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[16], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_aspect_counts.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_earlier_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[17], PyBUF_WRITABLE); if (unlikely(!__pyx_v_earlier_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_later_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[18], PyBUF_WRITABLE); if (unlikely(!__pyx_v_later_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_aspect_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[19], PyBUF_WRITABLE); if (unlikely(!__pyx_v_aspect_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_pair_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[20], PyBUF_WRITABLE); if (unlikely(!__pyx_v_pair_counts.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_U1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[21], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U1.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_U2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[22], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U2.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_V = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[23], PyBUF_WRITABLE); if (unlikely(!__pyx_v_V.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_H1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[24], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H1.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_H2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[25], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H2.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._fit_efm", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_36_fit_efm(__pyx_self, __pyx_v_self, __pyx_v_num_threads, __pyx_v_A, __pyx_v_A_uids, __pyx_v_A_iids, __pyx_v_A_user_counts, __pyx_v_A_item_counts, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_aids, __pyx_v_X_user_counts, __pyx_v_X_aspect_counts, __pyx_v_Y, __pyx_v_Y_iids, __pyx_v_Y_aids, __pyx_v_Y_item_counts, __pyx_v_Y_aspect_counts, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_v_U1, __pyx_v_U2, __pyx_v_V, __pyx_v_H1, __pyx_v_H2); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_36_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_A_user_counts, __Pyx_memviewslice __pyx_v_A_item_counts, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_X_user_counts, __Pyx_memviewslice __pyx_v_X_aspect_counts, __Pyx_memviewslice __pyx_v_Y, __Pyx_memviewslice __pyx_v_Y_iids, __Pyx_memviewslice __pyx_v_Y_aids, __Pyx_memviewslice __pyx_v_Y_item_counts, __Pyx_memviewslice __pyx_v_Y_aspect_counts, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2) { + int __pyx_v_model_type; + int __pyx_v_FINER_MODEL; + int __pyx_v_DOM_MODEL; + int __pyx_v_AROUND_MODEL; + int __pyx_v_num_users; + int __pyx_v_num_items; + int __pyx_v_num_aspects; + int __pyx_v_num_explicit_factors; + int __pyx_v_num_latent_factors; + int __pyx_v_min_pair_freq; + int __pyx_v_max_pair_freq; + int __pyx_v_use_item_pair_popularity; + float __pyx_v_lambda_x; + float __pyx_v_lambda_y; + float __pyx_v_lambda_u; + float __pyx_v_lambda_h; + float __pyx_v_lambda_v; + float __pyx_v_lambda_d; + float __pyx_v_prediction; + float __pyx_v_score; + float __pyx_v_score_i; + float __pyx_v_score_j; + float __pyx_v_loss; + float __pyx_v_aspect_bpr_loss; + float __pyx_v_diff; + float __pyx_v_grad; + float __pyx_v_z; + float __pyx_v_eps; + int __pyx_v_t_count; + int __pyx_v_correct; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_k; + int __pyx_v_f; + int __pyx_v_idx; + int __pyx_v_t; + PyArrayObject *__pyx_v_U1_numerator = 0; + PyArrayObject *__pyx_v_U1_denominator = 0; + PyArrayObject *__pyx_v_U2_numerator = 0; + PyArrayObject *__pyx_v_U2_denominator = 0; + PyArrayObject *__pyx_v_V_numerator = 0; + PyArrayObject *__pyx_v_V_denominator = 0; + PyArrayObject *__pyx_v_H1_numerator = 0; + PyArrayObject *__pyx_v_H1_denominator = 0; + PyArrayObject *__pyx_v_H2_numerator = 0; + PyArrayObject *__pyx_v_H2_denominator = 0; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H1_denominator; + __Pyx_Buffer __pyx_pybuffer_H1_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H1_numerator; + __Pyx_Buffer __pyx_pybuffer_H1_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H2_denominator; + __Pyx_Buffer __pyx_pybuffer_H2_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H2_numerator; + __Pyx_Buffer __pyx_pybuffer_H2_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U1_denominator; + __Pyx_Buffer __pyx_pybuffer_U1_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U1_numerator; + __Pyx_Buffer __pyx_pybuffer_U1_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U2_denominator; + __Pyx_Buffer __pyx_pybuffer_U2_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U2_numerator; + __Pyx_Buffer __pyx_pybuffer_U2_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_V_denominator; + __Pyx_Buffer __pyx_pybuffer_V_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_V_numerator; + __Pyx_Buffer __pyx_pybuffer_V_numerator; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + float __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + PyArrayObject *__pyx_t_9 = NULL; + PyArrayObject *__pyx_t_10 = NULL; + PyArrayObject *__pyx_t_11 = NULL; + PyArrayObject *__pyx_t_12 = NULL; + PyArrayObject *__pyx_t_13 = NULL; + PyArrayObject *__pyx_t_14 = NULL; + PyArrayObject *__pyx_t_15 = NULL; + PyArrayObject *__pyx_t_16 = NULL; + PyArrayObject *__pyx_t_17 = NULL; + PyArrayObject *__pyx_t_18 = NULL; + long __pyx_t_19; + long __pyx_t_20; + Py_ssize_t __pyx_t_21; + Py_ssize_t __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + int __pyx_t_25; + Py_ssize_t __pyx_t_26; + Py_ssize_t __pyx_t_27; + Py_ssize_t __pyx_t_28; + double __pyx_t_29; + int __pyx_t_30; + int __pyx_t_31; + int __pyx_t_32; + Py_ssize_t __pyx_t_33; + Py_ssize_t __pyx_t_34; + Py_ssize_t __pyx_t_35; + Py_ssize_t __pyx_t_36; + int __pyx_t_37; + int __pyx_t_38; + int __pyx_t_39; + __pyx_t_5numpy_float32_t __pyx_t_40; + __pyx_t_5numpy_float32_t __pyx_t_41; + Py_UCS4 __pyx_t_42; + int __pyx_t_43; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_0_1_fit_efm", 0); + __pyx_pybuffer_U1_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_U1_numerator.refcount = 0; + __pyx_pybuffernd_U1_numerator.data = NULL; + __pyx_pybuffernd_U1_numerator.rcbuffer = &__pyx_pybuffer_U1_numerator; + __pyx_pybuffer_U1_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_U1_denominator.refcount = 0; + __pyx_pybuffernd_U1_denominator.data = NULL; + __pyx_pybuffernd_U1_denominator.rcbuffer = &__pyx_pybuffer_U1_denominator; + __pyx_pybuffer_U2_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_U2_numerator.refcount = 0; + __pyx_pybuffernd_U2_numerator.data = NULL; + __pyx_pybuffernd_U2_numerator.rcbuffer = &__pyx_pybuffer_U2_numerator; + __pyx_pybuffer_U2_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_U2_denominator.refcount = 0; + __pyx_pybuffernd_U2_denominator.data = NULL; + __pyx_pybuffernd_U2_denominator.rcbuffer = &__pyx_pybuffer_U2_denominator; + __pyx_pybuffer_V_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_V_numerator.refcount = 0; + __pyx_pybuffernd_V_numerator.data = NULL; + __pyx_pybuffernd_V_numerator.rcbuffer = &__pyx_pybuffer_V_numerator; + __pyx_pybuffer_V_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_V_denominator.refcount = 0; + __pyx_pybuffernd_V_denominator.data = NULL; + __pyx_pybuffernd_V_denominator.rcbuffer = &__pyx_pybuffer_V_denominator; + __pyx_pybuffer_H1_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_H1_numerator.refcount = 0; + __pyx_pybuffernd_H1_numerator.data = NULL; + __pyx_pybuffernd_H1_numerator.rcbuffer = &__pyx_pybuffer_H1_numerator; + __pyx_pybuffer_H1_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_H1_denominator.refcount = 0; + __pyx_pybuffernd_H1_denominator.data = NULL; + __pyx_pybuffernd_H1_denominator.rcbuffer = &__pyx_pybuffer_H1_denominator; + __pyx_pybuffer_H2_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_H2_numerator.refcount = 0; + __pyx_pybuffernd_H2_numerator.data = NULL; + __pyx_pybuffernd_H2_numerator.rcbuffer = &__pyx_pybuffer_H2_numerator; + __pyx_pybuffer_H2_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_H2_denominator.refcount = 0; + __pyx_pybuffernd_H2_denominator.data = NULL; + __pyx_pybuffernd_H2_denominator.rcbuffer = &__pyx_pybuffer_H2_denominator; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":270 + * """ + * cdef: + * int model_type = self.model_type # <<<<<<<<<<<<<< + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_model_type); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_model_type = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":271 + * cdef: + * int model_type = self.model_type + * int FINER_MODEL = MODEL_TYPES["Finer"] # <<<<<<<<<<<<<< + * int DOM_MODEL = MODEL_TYPES["Dominant"] + * int AROUND_MODEL = MODEL_TYPES["Around"] + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_n_u_Finer); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_FINER_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":272 + * int model_type = self.model_type + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] # <<<<<<<<<<<<<< + * int AROUND_MODEL = MODEL_TYPES["Around"] + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_3, __pyx_n_u_Dominant); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_DOM_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":273 + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] + * int AROUND_MODEL = MODEL_TYPES["Around"] # <<<<<<<<<<<<<< + * + * int num_users = self.train_set.num_users + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_n_u_Around); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_AROUND_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":275 + * int AROUND_MODEL = MODEL_TYPES["Around"] + * + * int num_users = self.train_set.num_users # <<<<<<<<<<<<<< + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_num_users); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_users = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":276 + * + * int num_users = self.train_set.num_users + * int num_items = self.train_set.num_items # <<<<<<<<<<<<<< + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_items = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":277 + * int num_users = self.train_set.num_users + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects # <<<<<<<<<<<<<< + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_aspects = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":278 + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors # <<<<<<<<<<<<<< + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 278, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 278, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_explicit_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":279 + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors # <<<<<<<<<<<<<< + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 279, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 279, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_latent_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":280 + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq # <<<<<<<<<<<<<< + * int max_pair_freq = self.max_pair_freq + * bint use_item_pair_popularity = self.use_item_pair_popularity + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_pair_freq); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_min_pair_freq = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":281 + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq # <<<<<<<<<<<<<< + * bint use_item_pair_popularity = self.use_item_pair_popularity + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_pair_freq); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_max_pair_freq = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":282 + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq + * bint use_item_pair_popularity = self.use_item_pair_popularity # <<<<<<<<<<<<<< + * + * floating lambda_x = self.lambda_x + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_use_item_pair_popularity); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_use_item_pair_popularity = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":284 + * bint use_item_pair_popularity = self.use_item_pair_popularity + * + * floating lambda_x = self.lambda_x # <<<<<<<<<<<<<< + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_x); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_x = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":285 + * + * floating lambda_x = self.lambda_x + * floating lambda_y = self.lambda_y # <<<<<<<<<<<<<< + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_y); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_y = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":286 + * floating lambda_x = self.lambda_x + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u # <<<<<<<<<<<<<< + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_u); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_u = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":287 + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h # <<<<<<<<<<<<<< + * floating lambda_v = self.lambda_v + * floating lambda_d = self.lambda_d + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_h); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_h = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":288 + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v # <<<<<<<<<<<<<< + * floating lambda_d = self.lambda_d + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_v); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_v = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":289 + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v + * floating lambda_d = self.lambda_d # <<<<<<<<<<<<<< + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_d = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":291 + * floating lambda_d = self.lambda_d + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 # <<<<<<<<<<<<<< + * int t_count = 1, correct = 0 + * int i, j, k, f, idx, t + */ + __pyx_v_eps = 1e-9; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":292 + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + * int t_count = 1, correct = 0 # <<<<<<<<<<<<<< + * int i, j, k, f, idx, t + * + */ + __pyx_v_t_count = 1; + __pyx_v_correct = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":295 + * int i, j, k, f, idx, t + * + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 295, __pyx_L1_error) + __pyx_t_9 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_9, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U1_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 295, __pyx_L1_error) + } else {__pyx_pybuffernd_U1_numerator.diminfo[0].strides = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U1_numerator.diminfo[0].shape = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U1_numerator.diminfo[1].strides = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U1_numerator.diminfo[1].shape = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_9 = 0; + __pyx_v_U1_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":296 + * + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 296, __pyx_L1_error) + __pyx_t_10 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_10, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U1_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 296, __pyx_L1_error) + } else {__pyx_pybuffernd_U1_denominator.diminfo[0].strides = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U1_denominator.diminfo[0].shape = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U1_denominator.diminfo[1].strides = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U1_denominator.diminfo[1].shape = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_10 = 0; + __pyx_v_U1_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":297 + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 297, __pyx_L1_error) + __pyx_t_11 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_11, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U2_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 297, __pyx_L1_error) + } else {__pyx_pybuffernd_U2_numerator.diminfo[0].strides = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U2_numerator.diminfo[0].shape = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U2_numerator.diminfo[1].strides = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U2_numerator.diminfo[1].shape = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_11 = 0; + __pyx_v_U2_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":298 + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 298, __pyx_L1_error) + __pyx_t_12 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_12, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U2_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 298, __pyx_L1_error) + } else {__pyx_pybuffernd_U2_denominator.diminfo[0].strides = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U2_denominator.diminfo[0].shape = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U2_denominator.diminfo[1].strides = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U2_denominator.diminfo[1].shape = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_12 = 0; + __pyx_v_U2_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":299 + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 299, __pyx_L1_error) + __pyx_t_13 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_13, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_V_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 299, __pyx_L1_error) + } else {__pyx_pybuffernd_V_numerator.diminfo[0].strides = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_V_numerator.diminfo[0].shape = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_V_numerator.diminfo[1].strides = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_V_numerator.diminfo[1].shape = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_13 = 0; + __pyx_v_V_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":300 + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_aspects); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 300, __pyx_L1_error) + __pyx_t_14 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_14, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_V_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 300, __pyx_L1_error) + } else {__pyx_pybuffernd_V_denominator.diminfo[0].strides = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_V_denominator.diminfo[0].shape = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_V_denominator.diminfo[1].strides = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_V_denominator.diminfo[1].shape = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_14 = 0; + __pyx_v_V_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":301 + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 301, __pyx_L1_error) + __pyx_t_15 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_15, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H1_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 301, __pyx_L1_error) + } else {__pyx_pybuffernd_H1_numerator.diminfo[0].strides = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H1_numerator.diminfo[0].shape = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H1_numerator.diminfo[1].strides = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H1_numerator.diminfo[1].shape = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_15 = 0; + __pyx_v_H1_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":302 + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 302, __pyx_L1_error) + __pyx_t_16 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_16, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H1_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 302, __pyx_L1_error) + } else {__pyx_pybuffernd_H1_denominator.diminfo[0].strides = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H1_denominator.diminfo[0].shape = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H1_denominator.diminfo[1].strides = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H1_denominator.diminfo[1].shape = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_16 = 0; + __pyx_v_H1_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":303 + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 303, __pyx_L1_error) + __pyx_t_17 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_17, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H2_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 303, __pyx_L1_error) + } else {__pyx_pybuffernd_H2_numerator.diminfo[0].strides = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H2_numerator.diminfo[0].shape = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H2_numerator.diminfo[1].strides = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H2_numerator.diminfo[1].shape = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_17 = 0; + __pyx_v_H2_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":304 + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * + * for t in range(1, self.max_iter + 1): + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 304, __pyx_L1_error) + __pyx_t_18 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_18, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H2_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 304, __pyx_L1_error) + } else {__pyx_pybuffernd_H2_denominator.diminfo[0].strides = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H2_denominator.diminfo[0].shape = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H2_denominator.diminfo[1].strides = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H2_denominator.diminfo[1].shape = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_18 = 0; + __pyx_v_H2_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":306 + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * + * for t in range(1, self.max_iter + 1): # <<<<<<<<<<<<<< + * + * loss = 0. + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_iter); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_t_3, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_19 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_19 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_20 = __pyx_t_19; + for (__pyx_t_2 = 1; __pyx_t_2 < __pyx_t_20; __pyx_t_2+=1) { + __pyx_v_t = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":308 + * for t in range(1, self.max_iter + 1): + * + * loss = 0. # <<<<<<<<<<<<<< + * aspect_bpr_loss = 0. + * correct = 0 + */ + __pyx_v_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":309 + * + * loss = 0. + * aspect_bpr_loss = 0. # <<<<<<<<<<<<<< + * correct = 0 + * U1_numerator.fill(0) + */ + __pyx_v_aspect_bpr_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":310 + * loss = 0. + * aspect_bpr_loss = 0. + * correct = 0 # <<<<<<<<<<<<<< + * U1_numerator.fill(0) + * U1_denominator.fill(0) + */ + __pyx_v_correct = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":311 + * aspect_bpr_loss = 0. + * correct = 0 + * U1_numerator.fill(0) # <<<<<<<<<<<<<< + * U1_denominator.fill(0) + * U2_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U1_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 311, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 311, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":312 + * correct = 0 + * U1_numerator.fill(0) + * U1_denominator.fill(0) # <<<<<<<<<<<<<< + * U2_numerator.fill(0) + * U2_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U1_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 312, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 312, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":313 + * U1_numerator.fill(0) + * U1_denominator.fill(0) + * U2_numerator.fill(0) # <<<<<<<<<<<<<< + * U2_denominator.fill(0) + * V_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U2_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 313, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 313, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":314 + * U1_denominator.fill(0) + * U2_numerator.fill(0) + * U2_denominator.fill(0) # <<<<<<<<<<<<<< + * V_numerator.fill(0) + * V_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U2_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 314, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 314, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":315 + * U2_numerator.fill(0) + * U2_denominator.fill(0) + * V_numerator.fill(0) # <<<<<<<<<<<<<< + * V_denominator.fill(0) + * H1_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_V_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 315, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 315, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":316 + * U2_denominator.fill(0) + * V_numerator.fill(0) + * V_denominator.fill(0) # <<<<<<<<<<<<<< + * H1_numerator.fill(0) + * H1_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_V_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 316, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 316, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":317 + * V_numerator.fill(0) + * V_denominator.fill(0) + * H1_numerator.fill(0) # <<<<<<<<<<<<<< + * H1_denominator.fill(0) + * H2_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H1_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":318 + * V_denominator.fill(0) + * H1_numerator.fill(0) + * H1_denominator.fill(0) # <<<<<<<<<<<<<< + * H2_numerator.fill(0) + * H2_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H1_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":319 + * H1_numerator.fill(0) + * H1_denominator.fill(0) + * H2_numerator.fill(0) # <<<<<<<<<<<<<< + * H2_denominator.fill(0) + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H2_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":320 + * H1_denominator.fill(0) + * H2_numerator.fill(0) + * H2_denominator.fill(0) # <<<<<<<<<<<<<< + * + * with nogil, parallel(num_threads=num_threads): + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H2_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":322 + * H2_denominator.fill(0) + * + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel reduction(-:__pyx_v_aspect_bpr_loss) reduction(+:__pyx_v_correct) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) private(__pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_27, __pyx_t_28, __pyx_t_29, __pyx_t_30, __pyx_t_31, __pyx_t_32, __pyx_t_33, __pyx_t_34, __pyx_t_35, __pyx_t_36, __pyx_t_37, __pyx_t_38, __pyx_t_39, __pyx_t_4, __pyx_t_40, __pyx_t_41) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_num_threads) + #endif /* _OPENMP */ + { + #ifdef _OPENMP + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + Py_BEGIN_ALLOW_THREADS + #endif /* _OPENMP */ + + /* "cornac/models/comparer/recom_comparer_obj.pyx":324 + * with nogil, parallel(num_threads=num_threads): + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): # <<<<<<<<<<<<<< + * i = earlier_indices[idx] + * j = later_indices[idx] + */ + if (unlikely(!__pyx_v_pair_counts.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("pair_counts"); __PYX_ERR(0, 324, __pyx_L12_error) } + __pyx_t_21 = (__pyx_v_pair_counts.shape[0]); + if ((1 == 0)) abort(); + { + float __pyx_parallel_temp0 = ((float)__PYX_NAN()); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + float __pyx_parallel_temp2 = ((float)__PYX_NAN()); + int __pyx_parallel_temp3 = ((int)0xbad0bad0); + float __pyx_parallel_temp4 = ((float)__PYX_NAN()); + int __pyx_parallel_temp5 = ((int)0xbad0bad0); + int __pyx_parallel_temp6 = ((int)0xbad0bad0); + int __pyx_parallel_temp7 = ((int)0xbad0bad0); + int __pyx_parallel_temp8 = ((int)0xbad0bad0); + float __pyx_parallel_temp9 = ((float)__PYX_NAN()); + float __pyx_parallel_temp10 = ((float)__PYX_NAN()); + int __pyx_parallel_temp11 = ((int)0xbad0bad0); + float __pyx_parallel_temp12 = ((float)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_23 = (__pyx_t_21 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_23 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_diff) lastprivate(__pyx_v_f) lastprivate(__pyx_v_grad) lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_score_i) lastprivate(__pyx_v_score_j) lastprivate(__pyx_v_t_count) lastprivate(__pyx_v_z) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_23; __pyx_t_22++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_diff = ((float)__PYX_NAN()); + __pyx_v_f = ((int)0xbad0bad0); + __pyx_v_grad = ((float)__PYX_NAN()); + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_score_i = ((float)__PYX_NAN()); + __pyx_v_score_j = ((float)__PYX_NAN()); + __pyx_v_t_count = ((int)0xbad0bad0); + __pyx_v_z = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":325 + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + * i = earlier_indices[idx] # <<<<<<<<<<<<<< + * j = later_indices[idx] + * k = aspect_indices[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i = (*((int *) ( /* dim=0 */ (__pyx_v_earlier_indices.data + __pyx_t_24 * __pyx_v_earlier_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":326 + * for idx in prange(pair_counts.shape[0]): + * i = earlier_indices[idx] + * j = later_indices[idx] # <<<<<<<<<<<<<< + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_j = (*((int *) ( /* dim=0 */ (__pyx_v_later_indices.data + __pyx_t_24 * __pyx_v_later_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":327 + * i = earlier_indices[idx] + * j = later_indices[idx] + * k = aspect_indices[idx] # <<<<<<<<<<<<<< + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_k = (*((int *) ( /* dim=0 */ (__pyx_v_aspect_indices.data + __pyx_t_24 * __pyx_v_aspect_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":328 + * j = later_indices[idx] + * k = aspect_indices[idx] + * t_count = pair_counts[idx] # <<<<<<<<<<<<<< + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_t_count = (*((int *) ( /* dim=0 */ (__pyx_v_pair_counts.data + __pyx_t_24 * __pyx_v_pair_counts.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":329 + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: # <<<<<<<<<<<<<< + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + */ + __pyx_t_25 = ((__pyx_v_t_count < __pyx_v_min_pair_freq) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L19_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_t_count > __pyx_v_max_pair_freq) != 0); + __pyx_t_4 = __pyx_t_25; + __pyx_L19_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":330 + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue # <<<<<<<<<<<<<< + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + */ + goto __pyx_L14_continue; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":329 + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: # <<<<<<<<<<<<<< + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":331 + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) # <<<<<<<<<<<<<< + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = 0; + __pyx_t_27 = __pyx_v_k; + __pyx_t_28 = 0; + __pyx_v_score_i = __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_24 * __pyx_v_U2.strides[0]) ) + __pyx_t_26 * __pyx_v_U2.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_27 * __pyx_v_V.strides[0]) ) + __pyx_t_28 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":332 + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) # <<<<<<<<<<<<<< + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + */ + __pyx_t_28 = __pyx_v_j; + __pyx_t_27 = 0; + __pyx_t_26 = __pyx_v_k; + __pyx_t_24 = 0; + __pyx_v_score_j = __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_28 * __pyx_v_U2.strides[0]) ) + __pyx_t_27 * __pyx_v_U2.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_26 * __pyx_v_V.strides[0]) ) + __pyx_t_24 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":333 + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): # <<<<<<<<<<<<<< + * diff = score_j - score_i + * if not use_item_pair_popularity: + */ + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_FINER_MODEL) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_DOM_MODEL) != 0); + if (!__pyx_t_25) { + goto __pyx_L24_next_or; + } else { + } + __pyx_t_25 = ((__pyx_v_score_i < __pyx_v_score_j) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_L24_next_or:; + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_AROUND_MODEL) != 0); + if (__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_score_i > __pyx_v_score_j) != 0); + __pyx_t_4 = __pyx_t_25; + __pyx_L22_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":334 + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i # <<<<<<<<<<<<<< + * if not use_item_pair_popularity: + * t_count = 1 + */ + __pyx_v_diff = (__pyx_v_score_j - __pyx_v_score_i); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":335 + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + * if not use_item_pair_popularity: # <<<<<<<<<<<<<< + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + */ + __pyx_t_4 = ((!(__pyx_v_use_item_pair_popularity != 0)) != 0); + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":336 + * diff = score_j - score_i + * if not use_item_pair_popularity: + * t_count = 1 # <<<<<<<<<<<<<< + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + */ + __pyx_v_t_count = 1; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":335 + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + * if not use_item_pair_popularity: # <<<<<<<<<<<<<< + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":337 + * if not use_item_pair_popularity: + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) # <<<<<<<<<<<<<< + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: + */ + __pyx_t_29 = (1.0 + exp((-__pyx_v_diff))); + if (unlikely(__pyx_t_29 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 337, __pyx_L16_error) + } + __pyx_v_aspect_bpr_loss = (__pyx_v_aspect_bpr_loss - ((__pyx_v_lambda_d * (1.0 + log(__pyx_v_t_count))) * log((1.0 / __pyx_t_29)))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":338 + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) # <<<<<<<<<<<<<< + * if z < .5: + * correct += 1 + */ + __pyx_t_29 = (1.0 + exp(__pyx_v_diff)); + if (unlikely(__pyx_t_29 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 338, __pyx_L16_error) + } + __pyx_v_z = (1.0 / __pyx_t_29); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":339 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + */ + __pyx_t_4 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":340 + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: + * correct += 1 # <<<<<<<<<<<<<< + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): + */ + __pyx_v_correct = (__pyx_v_correct + 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":339 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":341 + * if z < .5: + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z # <<<<<<<<<<<<<< + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] + */ + __pyx_v_grad = ((__pyx_v_lambda_d * (1.0 + log(__pyx_v_t_count))) * __pyx_v_z); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":342 + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): # <<<<<<<<<<<<<< + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] + */ + __pyx_t_30 = __pyx_v_num_explicit_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_f = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":343 + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] # <<<<<<<<<<<<<< + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] + */ + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = __pyx_v_f; + __pyx_t_27 = __pyx_v_i; + __pyx_t_28 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (__pyx_v_grad * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_24 * __pyx_v_V.strides[0]) ) + __pyx_t_26 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":344 + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] # <<<<<<<<<<<<<< + * V_denominator[k, f] += grad * U2[i, f] + * V_numerator[k, f] += grad * U2[j, f] + */ + __pyx_t_26 = __pyx_v_k; + __pyx_t_24 = __pyx_v_f; + __pyx_t_28 = __pyx_v_j; + __pyx_t_27 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += (__pyx_v_grad * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_26 * __pyx_v_V.strides[0]) ) + __pyx_t_24 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":345 + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] # <<<<<<<<<<<<<< + * V_numerator[k, f] += grad * U2[j, f] + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = __pyx_v_f; + __pyx_t_27 = __pyx_v_k; + __pyx_t_28 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += (__pyx_v_grad * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_24 * __pyx_v_U2.strides[0]) ) + __pyx_t_26 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":346 + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] + * V_numerator[k, f] += grad * U2[j, f] # <<<<<<<<<<<<<< + * + * for idx in prange(A.shape[0]): + */ + __pyx_t_26 = __pyx_v_j; + __pyx_t_24 = __pyx_v_f; + __pyx_t_28 = __pyx_v_k; + __pyx_t_27 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += (__pyx_v_grad * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_26 * __pyx_v_U2.strides[0]) ) + __pyx_t_24 * __pyx_v_U2.strides[1]) )))); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":333 + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): # <<<<<<<<<<<<<< + * diff = score_j - score_i + * if not use_item_pair_popularity: + */ + } + goto __pyx_L32; + __pyx_L14_continue:; + goto __pyx_L32; + __pyx_L16_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L31; + __pyx_L31:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates4) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_aspect_bpr_loss; + __pyx_parallel_temp1 = __pyx_v_correct; + __pyx_parallel_temp2 = __pyx_v_diff; + __pyx_parallel_temp3 = __pyx_v_f; + __pyx_parallel_temp4 = __pyx_v_grad; + __pyx_parallel_temp5 = __pyx_v_i; + __pyx_parallel_temp6 = __pyx_v_idx; + __pyx_parallel_temp7 = __pyx_v_j; + __pyx_parallel_temp8 = __pyx_v_k; + __pyx_parallel_temp9 = __pyx_v_score_i; + __pyx_parallel_temp10 = __pyx_v_score_j; + __pyx_parallel_temp11 = __pyx_v_t_count; + __pyx_parallel_temp12 = __pyx_v_z; + } + __pyx_L32:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_aspect_bpr_loss = __pyx_parallel_temp0; + __pyx_v_correct = __pyx_parallel_temp1; + __pyx_v_diff = __pyx_parallel_temp2; + __pyx_v_f = __pyx_parallel_temp3; + __pyx_v_grad = __pyx_parallel_temp4; + __pyx_v_i = __pyx_parallel_temp5; + __pyx_v_idx = __pyx_parallel_temp6; + __pyx_v_j = __pyx_parallel_temp7; + __pyx_v_k = __pyx_parallel_temp8; + __pyx_v_score_i = __pyx_parallel_temp9; + __pyx_v_score_j = __pyx_parallel_temp10; + __pyx_v_t_count = __pyx_parallel_temp11; + __pyx_v_z = __pyx_parallel_temp12; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":348 + * V_numerator[k, f] += grad * U2[j, f] + * + * for idx in prange(A.shape[0]): # <<<<<<<<<<<<<< + * i = A_uids[idx] + * j = A_iids[idx] + */ + if (unlikely(!__pyx_v_A.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("A"); __PYX_ERR(0, 348, __pyx_L12_error) } + __pyx_t_23 = (__pyx_v_A.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_21 = (__pyx_t_23 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_21 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":349 + * + * for idx in prange(A.shape[0]): + * i = A_uids[idx] # <<<<<<<<<<<<<< + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i = (*((int *) ( /* dim=0 */ (__pyx_v_A_uids.data + __pyx_t_24 * __pyx_v_A_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":350 + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + * j = A_iids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_j = (*((int *) ( /* dim=0 */ (__pyx_v_A_iids.data + __pyx_t_24 * __pyx_v_A_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":351 + * i = A_uids[idx] + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ # <<<<<<<<<<<<<< + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = 0; + __pyx_t_27 = __pyx_v_j; + __pyx_t_28 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":352 + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) # <<<<<<<<<<<<<< + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = 0; + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = 0; + __pyx_v_prediction = (__pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_24 * __pyx_v_U1.strides[0]) ) + __pyx_t_26 * __pyx_v_U1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_27 * __pyx_v_U2.strides[0]) ) + __pyx_t_28 * __pyx_v_U2.strides[1]) )))), 1) + __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_latent_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_33 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_35 * __pyx_v_H2.strides[0]) ) + __pyx_t_36 * __pyx_v_H2.strides[1]) )))), 1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":353 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] # <<<<<<<<<<<<<< + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_36 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_A.data + __pyx_t_36 * __pyx_v_A.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":354 + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + * loss += (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_prediction - __pyx_v_score) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":355 + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] + */ + __pyx_t_30 = __pyx_v_num_explicit_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_k = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":356 + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] # <<<<<<<<<<<<<< + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] + */ + __pyx_t_36 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U1_numerator.diminfo[1].strides) += (__pyx_v_score * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_36 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":357 + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] # <<<<<<<<<<<<<< + * U2_numerator[j, k] += score * U1[i, k] + * U2_denominator[j, k] += prediction * U1[i, k] + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_36 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":358 + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] # <<<<<<<<<<<<<< + * U2_denominator[j, k] += prediction * U1[i, k] + * + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += (__pyx_v_score * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_36 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":359 + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] + * U2_denominator[j, k] += prediction * U1[i, k] # <<<<<<<<<<<<<< + * + * for k in range(num_latent_factors): + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_36 * __pyx_v_U1.strides[1]) )))); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":361 + * U2_denominator[j, k] += prediction * U1[i, k] + * + * for k in range(num_latent_factors): # <<<<<<<<<<<<<< + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] + */ + __pyx_t_30 = __pyx_v_num_latent_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_k = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":362 + * + * for k in range(num_latent_factors): + * H1_numerator[i, k] += score * H2[j, k] # <<<<<<<<<<<<<< + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] + */ + __pyx_t_36 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H1_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H1_numerator.diminfo[1].strides) += (__pyx_v_score * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_36 * __pyx_v_H2.strides[0]) ) + __pyx_t_35 * __pyx_v_H2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":363 + * for k in range(num_latent_factors): + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] # <<<<<<<<<<<<<< + * H2_numerator[j, k] += score * H1[i, k] + * H2_denominator[j, k] += prediction * H1[i, k] + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H1_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_35 * __pyx_v_H2.strides[0]) ) + __pyx_t_36 * __pyx_v_H2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":364 + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] # <<<<<<<<<<<<<< + * H2_denominator[j, k] += prediction * H1[i, k] + * + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H2_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H2_numerator.diminfo[1].strides) += (__pyx_v_score * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_36 * __pyx_v_H1.strides[0]) ) + __pyx_t_35 * __pyx_v_H1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":365 + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] + * H2_denominator[j, k] += prediction * H1[i, k] # <<<<<<<<<<<<<< + * + * for idx in prange(X.shape[0]): + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H2_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_35 * __pyx_v_H1.strides[0]) ) + __pyx_t_36 * __pyx_v_H1.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":367 + * H2_denominator[j, k] += prediction * H1[i, k] + * + * for idx in prange(X.shape[0]): # <<<<<<<<<<<<<< + * i = X_uids[idx] + * j = X_aids[idx] + */ + if (unlikely(!__pyx_v_X.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("X"); __PYX_ERR(0, 367, __pyx_L12_error) } + __pyx_t_21 = (__pyx_v_X.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_23 = (__pyx_t_21 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_23 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_23; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":368 + * + * for idx in prange(X.shape[0]): + * i = X_uids[idx] # <<<<<<<<<<<<<< + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + */ + __pyx_t_36 = __pyx_v_idx; + __pyx_v_i = (*((int *) ( /* dim=0 */ (__pyx_v_X_uids.data + __pyx_t_36 * __pyx_v_X_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":369 + * for idx in prange(X.shape[0]): + * i = X_uids[idx] + * j = X_aids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] + */ + __pyx_t_36 = __pyx_v_idx; + __pyx_v_j = (*((int *) ( /* dim=0 */ (__pyx_v_X_aids.data + __pyx_t_36 * __pyx_v_X_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":370 + * i = X_uids[idx] + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) # <<<<<<<<<<<<<< + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = 0; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = 0; + __pyx_v_prediction = __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_36 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_33 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":371 + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] # <<<<<<<<<<<<<< + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_33 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_X.data + __pyx_t_33 * __pyx_v_X.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":372 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_x * (__pyx_v_prediction - __pyx_v_score)) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":373 + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + */ + __pyx_t_30 = __pyx_v_num_explicit_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_k = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":374 + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] # <<<<<<<<<<<<<< + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_36, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_score) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_33 * __pyx_v_U1.strides[0]) ) + __pyx_t_34 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":375 + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] # <<<<<<<<<<<<<< + * U1_numerator[i, k] += lambda_x * score * V[j, k] + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + __pyx_t_36 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_prediction) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_33 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":376 + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] # <<<<<<<<<<<<<< + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + * + */ + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_36, __pyx_pybuffernd_U1_numerator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_score) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_33 * __pyx_v_V.strides[0]) ) + __pyx_t_34 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":377 + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] # <<<<<<<<<<<<<< + * + * for idx in prange(Y.shape[0]): + */ + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_prediction) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_33 * __pyx_v_V.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":379 + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + * + * for idx in prange(Y.shape[0]): # <<<<<<<<<<<<<< + * i = Y_iids[idx] + * j = Y_aids[idx] + */ + if (unlikely(!__pyx_v_Y.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("Y"); __PYX_ERR(0, 379, __pyx_L12_error) } + __pyx_t_23 = (__pyx_v_Y.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_21 = (__pyx_t_23 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_21 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":380 + * + * for idx in prange(Y.shape[0]): + * i = Y_iids[idx] # <<<<<<<<<<<<<< + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + */ + __pyx_t_33 = __pyx_v_idx; + __pyx_v_i = (*((int *) ( /* dim=0 */ (__pyx_v_Y_iids.data + __pyx_t_33 * __pyx_v_Y_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":381 + * for idx in prange(Y.shape[0]): + * i = Y_iids[idx] + * j = Y_aids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] + */ + __pyx_t_33 = __pyx_v_idx; + __pyx_v_j = (*((int *) ( /* dim=0 */ (__pyx_v_Y_aids.data + __pyx_t_33 * __pyx_v_Y_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":382 + * i = Y_iids[idx] + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) # <<<<<<<<<<<<<< + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = 0; + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = 0; + __pyx_v_prediction = __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_33 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_36 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":383 + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] # <<<<<<<<<<<<<< + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_36 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_Y.data + __pyx_t_36 * __pyx_v_Y.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":384 + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_y * (__pyx_v_prediction - __pyx_v_score)) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":385 + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + */ + __pyx_t_30 = __pyx_v_num_explicit_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_k = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":386 + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] # <<<<<<<<<<<<<< + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_score) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_36 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":387 + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] # <<<<<<<<<<<<<< + * U2_numerator[i, k] += lambda_y * score * V[j, k] + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_prediction) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_36 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":388 + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] # <<<<<<<<<<<<<< + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] + * + */ + __pyx_t_36 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_score) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_36 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":389 + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] # <<<<<<<<<<<<<< + * + * # update V + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_prediction) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_36 * __pyx_v_V.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":392 + * + * # update V + * for i in prange(num_aspects): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] + */ + __pyx_t_30 = __pyx_v_num_aspects; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + float __pyx_parallel_temp2 = ((float)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_32 = (__pyx_t_30 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_32 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_32; __pyx_t_31++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_31); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":393 + * # update V + * for i in prange(num_aspects): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_explicit_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":394 + * for i in prange(num_aspects): + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] # <<<<<<<<<<<<<< + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_v * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_36 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_33 * __pyx_v_V.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":395 + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps # <<<<<<<<<<<<<< + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + * + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + __pyx_t_28 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += (((((*((int *) ( /* dim=0 */ (__pyx_v_X_aspect_counts.data + __pyx_t_33 * __pyx_v_X_aspect_counts.strides[0]) ))) + (*((int *) ( /* dim=0 */ (__pyx_v_Y_aspect_counts.data + __pyx_t_34 * __pyx_v_Y_aspect_counts.strides[0]) )))) * __pyx_v_lambda_v) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_36 * __pyx_v_V.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":396 + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) # <<<<<<<<<<<<<< + * + * # update U1, H1 + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_V_numerator.diminfo[1].strides)); + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_36, __pyx_pybuffernd_V_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_41 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 396, __pyx_L61_error) + } + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_36 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_41)); + } + goto __pyx_L66; + __pyx_L61_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L65; + __pyx_L65:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates5) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L66:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":399 + * + * # update U1, H1 + * for i in prange(num_users): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] + */ + __pyx_t_32 = __pyx_v_num_users; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + float __pyx_parallel_temp2 = ((float)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_30 = (__pyx_t_32 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_30 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_31); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":400 + * # update U1, H1 + * for i in prange(num_users): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_explicit_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":401 + * for i in prange(num_users): + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] # <<<<<<<<<<<<<< + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_u * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_36 * __pyx_v_U1.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_33 * __pyx_v_U1.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":402 + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps # <<<<<<<<<<<<<< + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_27 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += (((((*((int *) ( /* dim=0 */ (__pyx_v_A_user_counts.data + __pyx_t_33 * __pyx_v_A_user_counts.strides[0]) ))) + (*((int *) ( /* dim=0 */ (__pyx_v_X_user_counts.data + __pyx_t_34 * __pyx_v_X_user_counts.strides[0]) )))) * __pyx_v_lambda_u) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_36 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":403 + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) # <<<<<<<<<<<<<< + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_36, __pyx_pybuffernd_U1_numerator.diminfo[1].strides)); + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U1_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 403, __pyx_L69_error) + } + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_36 * __pyx_v_U1.strides[1]) )) *= sqrt((__pyx_t_41 / __pyx_t_40)); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":404 + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): # <<<<<<<<<<<<<< + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_latent_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":405 + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] # <<<<<<<<<<<<<< + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_h * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_36 * __pyx_v_H1.strides[0]) ) + __pyx_t_35 * __pyx_v_H1.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_34 * __pyx_v_H1.strides[0]) ) + __pyx_t_33 * __pyx_v_H1.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":406 + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps # <<<<<<<<<<<<<< + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + * + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_H1_denominator.diminfo[1].strides) += ((((*((int *) ( /* dim=0 */ (__pyx_v_A_user_counts.data + __pyx_t_33 * __pyx_v_A_user_counts.strides[0]) ))) * __pyx_v_lambda_h) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_34 * __pyx_v_H1.strides[0]) ) + __pyx_t_35 * __pyx_v_H1.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":407 + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) # <<<<<<<<<<<<<< + * + * # update U2, H2 + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_H1_numerator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H1_numerator.diminfo[1].strides)); + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_H1_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_41 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 407, __pyx_L69_error) + } + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_35 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_41)); + } + goto __pyx_L76; + __pyx_L69_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L75; + __pyx_L75:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates6) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L76:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":410 + * + * # update U2, H2 + * for i in prange(num_items): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] + */ + __pyx_t_30 = __pyx_v_num_items; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + float __pyx_parallel_temp2 = ((float)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_32 = (__pyx_t_30 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_32 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_32; __pyx_t_31++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_31); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":411 + * # update U2, H2 + * for i in prange(num_items): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_explicit_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":412 + * for i in prange(num_items): + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] # <<<<<<<<<<<<<< + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_u * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_33 * __pyx_v_U2.strides[0]) ) + __pyx_t_28 * __pyx_v_U2.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":413 + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps # <<<<<<<<<<<<<< + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): + */ + __pyx_t_28 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_36 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (((((*((int *) ( /* dim=0 */ (__pyx_v_A_item_counts.data + __pyx_t_28 * __pyx_v_A_item_counts.strides[0]) ))) + (*((int *) ( /* dim=0 */ (__pyx_v_Y_item_counts.data + __pyx_t_33 * __pyx_v_Y_item_counts.strides[0]) )))) * __pyx_v_lambda_u) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":414 + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) # <<<<<<<<<<<<<< + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U2_numerator.diminfo[1].strides)); + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U2_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 414, __pyx_L79_error) + } + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )) *= sqrt((__pyx_t_41 / __pyx_t_40)); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":415 + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): # <<<<<<<<<<<<<< + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_latent_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":416 + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] # <<<<<<<<<<<<<< + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_h * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_35 * __pyx_v_H2.strides[0]) ) + __pyx_t_34 * __pyx_v_H2.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_33 * __pyx_v_H2.strides[0]) ) + __pyx_t_28 * __pyx_v_H2.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":417 + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps # <<<<<<<<<<<<<< + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + */ + __pyx_t_28 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_H2_denominator.diminfo[1].strides) += ((((*((int *) ( /* dim=0 */ (__pyx_v_A_item_counts.data + __pyx_t_28 * __pyx_v_A_item_counts.strides[0]) ))) * __pyx_v_lambda_h) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_33 * __pyx_v_H2.strides[0]) ) + __pyx_t_34 * __pyx_v_H2.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":418 + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H2_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H2_numerator.diminfo[1].strides)); + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H2_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_41 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 418, __pyx_L79_error) + } + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_34 * __pyx_v_H2.strides[0]) ) + __pyx_t_33 * __pyx_v_H2.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_41)); + } + goto __pyx_L86; + __pyx_L79_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L85; + __pyx_L85:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates7) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L86:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + goto __pyx_L88; + __pyx_L12_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L88; + __pyx_L88:; + #ifdef _OPENMP + Py_END_ALLOW_THREADS + #else +{ +#ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #endif /* _OPENMP */ + /* Clean up any temporaries */ + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + #ifndef _OPENMP +} +#endif /* _OPENMP */ + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L8_error; + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":322 + * H2_denominator.fill(0) + * + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L9; + } + __pyx_L8_error: { + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L1_error; + } + __pyx_L9:; + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":420 + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 420, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 420, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":421 + * + * if self.verbose: + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) # <<<<<<<<<<<<<< + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): + */ + __pyx_t_1 = PyTuple_New(8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_21 = 0; + __pyx_t_42 = 127; + __Pyx_INCREF(__pyx_kp_u_iter); + __pyx_t_21 += 6; + __Pyx_GIVEREF(__pyx_kp_u_iter); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_kp_u_iter); + __pyx_t_3 = __Pyx_PyUnicode_From_int(__pyx_v_t, 0, ' ', 'd'); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_kp_u_loss); + __pyx_t_21 += 8; + __Pyx_GIVEREF(__pyx_kp_u_loss); + PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_kp_u_loss); + __pyx_t_3 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyObject_Format(__pyx_t_3, __pyx_kp_u_2f); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_42 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) > __pyx_t_42) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) : __pyx_t_42; + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 3, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_INCREF(__pyx_kp_u_aspect_bpr_loss); + __pyx_t_21 += 19; + __Pyx_GIVEREF(__pyx_kp_u_aspect_bpr_loss); + PyTuple_SET_ITEM(__pyx_t_1, 4, __pyx_kp_u_aspect_bpr_loss); + __pyx_t_6 = PyFloat_FromDouble(__pyx_v_aspect_bpr_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_3 = __Pyx_PyObject_Format(__pyx_t_6, __pyx_kp_u_2f); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_42 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) > __pyx_t_42) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) : __pyx_t_42; + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 5, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_kp_u_correct); + __pyx_t_21 += 11; + __Pyx_GIVEREF(__pyx_kp_u_correct); + PyTuple_SET_ITEM(__pyx_t_1, 6, __pyx_kp_u_correct); + __pyx_t_3 = __Pyx_PyUnicode_From_int(__pyx_v_correct, 0, ' ', 'd'); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 7, __pyx_t_3); + __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyUnicode_Join(__pyx_t_1, 8, __pyx_t_21, __pyx_t_42); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":420 + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":423 + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): # <<<<<<<<<<<<<< + * break + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_25 = (__pyx_t_1 != Py_None); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_43 = (__pyx_t_25 != 0); + if (__pyx_t_43) { + } else { + __pyx_t_4 = __pyx_t_43; + goto __pyx_L91_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stop); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + if (unlikely(__pyx_t_6 == Py_None)) { + PyErr_SetString(PyExc_TypeError, "argument after ** must be a mapping, not NoneType"); + __PYX_ERR(0, 423, __pyx_L1_error) + } + if (likely(PyDict_CheckExact(__pyx_t_6))) { + __pyx_t_3 = PyDict_Copy(__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } else { + __pyx_t_3 = PyObject_CallFunctionObjArgs((PyObject*)&PyDict_Type, __pyx_t_6, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_empty_tuple, __pyx_t_3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_43 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_43 < 0)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_4 = __pyx_t_43; + __pyx_L91_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":424 + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): + * break # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + goto __pyx_L4_break; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":423 + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): # <<<<<<<<<<<<<< + * break + * + */ + } + } + __pyx_L4_break:; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":426 + * break + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":427 + * + * if self.verbose: + * print('Optimization finished!') # <<<<<<<<<<<<<< + * + * @cython.boundscheck(False) + */ + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":426 + * break + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":261 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_efm(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, integral[:] A_user_counts, integral[:] A_item_counts, + * floating[:] X, integral[:] X_uids, integral[:] X_aids, integral[:] X_user_counts, integral[:] X_aspect_counts, + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer); + __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._fit_efm", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + goto __pyx_L2; + __pyx_L0:; + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer); + __pyx_L2:; + __Pyx_XDECREF((PyObject *)__pyx_v_U1_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_U1_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_U2_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_U2_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_V_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_V_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_H1_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_H1_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_H2_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_H2_denominator); + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_user_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_item_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_user_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aspect_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_item_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_aspect_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_earlier_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_later_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_aspect_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_pair_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_V, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H2, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_0_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_39_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_0_2__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_39_fit_efm = {"__pyx_fuse_0_2_fit_efm", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_0_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_39_fit_efm, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_10_fit_efm}; +static PyObject *__pyx_fuse_0_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_39_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + int __pyx_v_num_threads; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_user_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_item_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_user_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aspect_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_item_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_aspect_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_earlier_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_later_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_aspect_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_pair_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_V = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_fit_efm (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_num_threads,&__pyx_n_s_A,&__pyx_n_s_A_uids,&__pyx_n_s_A_iids,&__pyx_n_s_A_user_counts,&__pyx_n_s_A_item_counts,&__pyx_n_s_X,&__pyx_n_s_X_uids,&__pyx_n_s_X_aids,&__pyx_n_s_X_user_counts,&__pyx_n_s_X_aspect_counts,&__pyx_n_s_Y,&__pyx_n_s_Y_iids,&__pyx_n_s_Y_aids,&__pyx_n_s_Y_item_counts,&__pyx_n_s_Y_aspect_counts,&__pyx_n_s_earlier_indices,&__pyx_n_s_later_indices,&__pyx_n_s_aspect_indices,&__pyx_n_s_pair_counts,&__pyx_n_s_U1,&__pyx_n_s_U2,&__pyx_n_s_V,&__pyx_n_s_H1,&__pyx_n_s_H2,0}; + PyObject* values[26] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 1); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 2); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 3); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 4); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_user_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 5); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_item_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 6); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 7); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 8); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 9); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 10: + if (likely((values[10] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_user_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 10); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 11: + if (likely((values[11] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aspect_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 11); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 12: + if (likely((values[12] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 12); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 13: + if (likely((values[13] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 13); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 14: + if (likely((values[14] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 14); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 15: + if (likely((values[15] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_item_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 15); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 16: + if (likely((values[16] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_aspect_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 16); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 17: + if (likely((values[17] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_earlier_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 17); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 18: + if (likely((values[18] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_later_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 18); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 19: + if (likely((values[19] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_aspect_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 19); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 20: + if (likely((values[20] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pair_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 20); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 21: + if (likely((values[21] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 21); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 22: + if (likely((values[22] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 22); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 23: + if (likely((values[23] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_V)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 23); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 24: + if (likely((values[24] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 24); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 25: + if (likely((values[25] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 25); __PYX_ERR(0, 261, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_fit_efm") < 0)) __PYX_ERR(0, 261, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 26) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + } + __pyx_v_self = values[0]; + __pyx_v_num_threads = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_num_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[2], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[3], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_uids.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[4], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_iids.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_user_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[5], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_user_counts.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_item_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[6], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_item_counts.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_X = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[7], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_uids.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aids.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_user_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[10], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_user_counts.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_aspect_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[11], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aspect_counts.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_Y = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[12], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[13], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_iids.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[14], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_aids.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_item_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[15], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_item_counts.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_aspect_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[16], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_aspect_counts.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_earlier_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[17], PyBUF_WRITABLE); if (unlikely(!__pyx_v_earlier_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_later_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[18], PyBUF_WRITABLE); if (unlikely(!__pyx_v_later_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_aspect_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[19], PyBUF_WRITABLE); if (unlikely(!__pyx_v_aspect_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_pair_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[20], PyBUF_WRITABLE); if (unlikely(!__pyx_v_pair_counts.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_U1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[21], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U1.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_U2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[22], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U2.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_V = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[23], PyBUF_WRITABLE); if (unlikely(!__pyx_v_V.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_H1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[24], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H1.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_H2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[25], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H2.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._fit_efm", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_38_fit_efm(__pyx_self, __pyx_v_self, __pyx_v_num_threads, __pyx_v_A, __pyx_v_A_uids, __pyx_v_A_iids, __pyx_v_A_user_counts, __pyx_v_A_item_counts, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_aids, __pyx_v_X_user_counts, __pyx_v_X_aspect_counts, __pyx_v_Y, __pyx_v_Y_iids, __pyx_v_Y_aids, __pyx_v_Y_item_counts, __pyx_v_Y_aspect_counts, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_v_U1, __pyx_v_U2, __pyx_v_V, __pyx_v_H1, __pyx_v_H2); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_38_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_A_user_counts, __Pyx_memviewslice __pyx_v_A_item_counts, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_X_user_counts, __Pyx_memviewslice __pyx_v_X_aspect_counts, __Pyx_memviewslice __pyx_v_Y, __Pyx_memviewslice __pyx_v_Y_iids, __Pyx_memviewslice __pyx_v_Y_aids, __Pyx_memviewslice __pyx_v_Y_item_counts, __Pyx_memviewslice __pyx_v_Y_aspect_counts, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2) { + int __pyx_v_model_type; + int __pyx_v_FINER_MODEL; + int __pyx_v_DOM_MODEL; + int __pyx_v_AROUND_MODEL; + int __pyx_v_num_users; + int __pyx_v_num_items; + int __pyx_v_num_aspects; + int __pyx_v_num_explicit_factors; + int __pyx_v_num_latent_factors; + int __pyx_v_min_pair_freq; + int __pyx_v_max_pair_freq; + int __pyx_v_use_item_pair_popularity; + float __pyx_v_lambda_x; + float __pyx_v_lambda_y; + float __pyx_v_lambda_u; + float __pyx_v_lambda_h; + float __pyx_v_lambda_v; + float __pyx_v_lambda_d; + float __pyx_v_prediction; + float __pyx_v_score; + float __pyx_v_score_i; + float __pyx_v_score_j; + float __pyx_v_loss; + float __pyx_v_aspect_bpr_loss; + float __pyx_v_diff; + float __pyx_v_grad; + float __pyx_v_z; + float __pyx_v_eps; + int __pyx_v_t_count; + int __pyx_v_correct; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_k; + int __pyx_v_f; + int __pyx_v_idx; + int __pyx_v_t; + PyArrayObject *__pyx_v_U1_numerator = 0; + PyArrayObject *__pyx_v_U1_denominator = 0; + PyArrayObject *__pyx_v_U2_numerator = 0; + PyArrayObject *__pyx_v_U2_denominator = 0; + PyArrayObject *__pyx_v_V_numerator = 0; + PyArrayObject *__pyx_v_V_denominator = 0; + PyArrayObject *__pyx_v_H1_numerator = 0; + PyArrayObject *__pyx_v_H1_denominator = 0; + PyArrayObject *__pyx_v_H2_numerator = 0; + PyArrayObject *__pyx_v_H2_denominator = 0; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H1_denominator; + __Pyx_Buffer __pyx_pybuffer_H1_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H1_numerator; + __Pyx_Buffer __pyx_pybuffer_H1_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H2_denominator; + __Pyx_Buffer __pyx_pybuffer_H2_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H2_numerator; + __Pyx_Buffer __pyx_pybuffer_H2_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U1_denominator; + __Pyx_Buffer __pyx_pybuffer_U1_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U1_numerator; + __Pyx_Buffer __pyx_pybuffer_U1_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U2_denominator; + __Pyx_Buffer __pyx_pybuffer_U2_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U2_numerator; + __Pyx_Buffer __pyx_pybuffer_U2_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_V_denominator; + __Pyx_Buffer __pyx_pybuffer_V_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_V_numerator; + __Pyx_Buffer __pyx_pybuffer_V_numerator; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + float __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + PyArrayObject *__pyx_t_9 = NULL; + PyArrayObject *__pyx_t_10 = NULL; + PyArrayObject *__pyx_t_11 = NULL; + PyArrayObject *__pyx_t_12 = NULL; + PyArrayObject *__pyx_t_13 = NULL; + PyArrayObject *__pyx_t_14 = NULL; + PyArrayObject *__pyx_t_15 = NULL; + PyArrayObject *__pyx_t_16 = NULL; + PyArrayObject *__pyx_t_17 = NULL; + PyArrayObject *__pyx_t_18 = NULL; + long __pyx_t_19; + long __pyx_t_20; + Py_ssize_t __pyx_t_21; + Py_ssize_t __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + int __pyx_t_25; + Py_ssize_t __pyx_t_26; + Py_ssize_t __pyx_t_27; + Py_ssize_t __pyx_t_28; + double __pyx_t_29; + int __pyx_t_30; + int __pyx_t_31; + int __pyx_t_32; + Py_ssize_t __pyx_t_33; + Py_ssize_t __pyx_t_34; + Py_ssize_t __pyx_t_35; + Py_ssize_t __pyx_t_36; + int __pyx_t_37; + int __pyx_t_38; + int __pyx_t_39; + __pyx_t_5numpy_float32_t __pyx_t_40; + __pyx_t_5numpy_float32_t __pyx_t_41; + Py_UCS4 __pyx_t_42; + int __pyx_t_43; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_0_2_fit_efm", 0); + __pyx_pybuffer_U1_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_U1_numerator.refcount = 0; + __pyx_pybuffernd_U1_numerator.data = NULL; + __pyx_pybuffernd_U1_numerator.rcbuffer = &__pyx_pybuffer_U1_numerator; + __pyx_pybuffer_U1_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_U1_denominator.refcount = 0; + __pyx_pybuffernd_U1_denominator.data = NULL; + __pyx_pybuffernd_U1_denominator.rcbuffer = &__pyx_pybuffer_U1_denominator; + __pyx_pybuffer_U2_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_U2_numerator.refcount = 0; + __pyx_pybuffernd_U2_numerator.data = NULL; + __pyx_pybuffernd_U2_numerator.rcbuffer = &__pyx_pybuffer_U2_numerator; + __pyx_pybuffer_U2_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_U2_denominator.refcount = 0; + __pyx_pybuffernd_U2_denominator.data = NULL; + __pyx_pybuffernd_U2_denominator.rcbuffer = &__pyx_pybuffer_U2_denominator; + __pyx_pybuffer_V_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_V_numerator.refcount = 0; + __pyx_pybuffernd_V_numerator.data = NULL; + __pyx_pybuffernd_V_numerator.rcbuffer = &__pyx_pybuffer_V_numerator; + __pyx_pybuffer_V_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_V_denominator.refcount = 0; + __pyx_pybuffernd_V_denominator.data = NULL; + __pyx_pybuffernd_V_denominator.rcbuffer = &__pyx_pybuffer_V_denominator; + __pyx_pybuffer_H1_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_H1_numerator.refcount = 0; + __pyx_pybuffernd_H1_numerator.data = NULL; + __pyx_pybuffernd_H1_numerator.rcbuffer = &__pyx_pybuffer_H1_numerator; + __pyx_pybuffer_H1_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_H1_denominator.refcount = 0; + __pyx_pybuffernd_H1_denominator.data = NULL; + __pyx_pybuffernd_H1_denominator.rcbuffer = &__pyx_pybuffer_H1_denominator; + __pyx_pybuffer_H2_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_H2_numerator.refcount = 0; + __pyx_pybuffernd_H2_numerator.data = NULL; + __pyx_pybuffernd_H2_numerator.rcbuffer = &__pyx_pybuffer_H2_numerator; + __pyx_pybuffer_H2_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_H2_denominator.refcount = 0; + __pyx_pybuffernd_H2_denominator.data = NULL; + __pyx_pybuffernd_H2_denominator.rcbuffer = &__pyx_pybuffer_H2_denominator; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":270 + * """ + * cdef: + * int model_type = self.model_type # <<<<<<<<<<<<<< + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_model_type); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_model_type = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":271 + * cdef: + * int model_type = self.model_type + * int FINER_MODEL = MODEL_TYPES["Finer"] # <<<<<<<<<<<<<< + * int DOM_MODEL = MODEL_TYPES["Dominant"] + * int AROUND_MODEL = MODEL_TYPES["Around"] + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_n_u_Finer); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_FINER_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":272 + * int model_type = self.model_type + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] # <<<<<<<<<<<<<< + * int AROUND_MODEL = MODEL_TYPES["Around"] + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_3, __pyx_n_u_Dominant); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_DOM_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":273 + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] + * int AROUND_MODEL = MODEL_TYPES["Around"] # <<<<<<<<<<<<<< + * + * int num_users = self.train_set.num_users + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_n_u_Around); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_AROUND_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":275 + * int AROUND_MODEL = MODEL_TYPES["Around"] + * + * int num_users = self.train_set.num_users # <<<<<<<<<<<<<< + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_num_users); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_users = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":276 + * + * int num_users = self.train_set.num_users + * int num_items = self.train_set.num_items # <<<<<<<<<<<<<< + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_items = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":277 + * int num_users = self.train_set.num_users + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects # <<<<<<<<<<<<<< + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_aspects = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":278 + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors # <<<<<<<<<<<<<< + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 278, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 278, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_explicit_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":279 + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors # <<<<<<<<<<<<<< + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 279, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 279, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_latent_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":280 + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq # <<<<<<<<<<<<<< + * int max_pair_freq = self.max_pair_freq + * bint use_item_pair_popularity = self.use_item_pair_popularity + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_pair_freq); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_min_pair_freq = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":281 + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq # <<<<<<<<<<<<<< + * bint use_item_pair_popularity = self.use_item_pair_popularity + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_pair_freq); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_max_pair_freq = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":282 + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq + * bint use_item_pair_popularity = self.use_item_pair_popularity # <<<<<<<<<<<<<< + * + * floating lambda_x = self.lambda_x + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_use_item_pair_popularity); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_use_item_pair_popularity = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":284 + * bint use_item_pair_popularity = self.use_item_pair_popularity + * + * floating lambda_x = self.lambda_x # <<<<<<<<<<<<<< + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_x); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_x = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":285 + * + * floating lambda_x = self.lambda_x + * floating lambda_y = self.lambda_y # <<<<<<<<<<<<<< + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_y); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_y = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":286 + * floating lambda_x = self.lambda_x + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u # <<<<<<<<<<<<<< + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_u); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_u = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":287 + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h # <<<<<<<<<<<<<< + * floating lambda_v = self.lambda_v + * floating lambda_d = self.lambda_d + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_h); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_h = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":288 + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v # <<<<<<<<<<<<<< + * floating lambda_d = self.lambda_d + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_v); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_v = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":289 + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v + * floating lambda_d = self.lambda_d # <<<<<<<<<<<<<< + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_d = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":291 + * floating lambda_d = self.lambda_d + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 # <<<<<<<<<<<<<< + * int t_count = 1, correct = 0 + * int i, j, k, f, idx, t + */ + __pyx_v_eps = 1e-9; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":292 + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + * int t_count = 1, correct = 0 # <<<<<<<<<<<<<< + * int i, j, k, f, idx, t + * + */ + __pyx_v_t_count = 1; + __pyx_v_correct = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":295 + * int i, j, k, f, idx, t + * + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 295, __pyx_L1_error) + __pyx_t_9 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_9, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U1_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 295, __pyx_L1_error) + } else {__pyx_pybuffernd_U1_numerator.diminfo[0].strides = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U1_numerator.diminfo[0].shape = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U1_numerator.diminfo[1].strides = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U1_numerator.diminfo[1].shape = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_9 = 0; + __pyx_v_U1_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":296 + * + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 296, __pyx_L1_error) + __pyx_t_10 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_10, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U1_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 296, __pyx_L1_error) + } else {__pyx_pybuffernd_U1_denominator.diminfo[0].strides = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U1_denominator.diminfo[0].shape = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U1_denominator.diminfo[1].strides = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U1_denominator.diminfo[1].shape = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_10 = 0; + __pyx_v_U1_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":297 + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 297, __pyx_L1_error) + __pyx_t_11 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_11, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U2_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 297, __pyx_L1_error) + } else {__pyx_pybuffernd_U2_numerator.diminfo[0].strides = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U2_numerator.diminfo[0].shape = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U2_numerator.diminfo[1].strides = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U2_numerator.diminfo[1].shape = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_11 = 0; + __pyx_v_U2_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":298 + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 298, __pyx_L1_error) + __pyx_t_12 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_12, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U2_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 298, __pyx_L1_error) + } else {__pyx_pybuffernd_U2_denominator.diminfo[0].strides = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U2_denominator.diminfo[0].shape = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U2_denominator.diminfo[1].strides = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U2_denominator.diminfo[1].shape = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_12 = 0; + __pyx_v_U2_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":299 + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 299, __pyx_L1_error) + __pyx_t_13 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_13, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_V_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 299, __pyx_L1_error) + } else {__pyx_pybuffernd_V_numerator.diminfo[0].strides = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_V_numerator.diminfo[0].shape = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_V_numerator.diminfo[1].strides = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_V_numerator.diminfo[1].shape = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_13 = 0; + __pyx_v_V_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":300 + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_aspects); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 300, __pyx_L1_error) + __pyx_t_14 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_14, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_V_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 300, __pyx_L1_error) + } else {__pyx_pybuffernd_V_denominator.diminfo[0].strides = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_V_denominator.diminfo[0].shape = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_V_denominator.diminfo[1].strides = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_V_denominator.diminfo[1].shape = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_14 = 0; + __pyx_v_V_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":301 + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 301, __pyx_L1_error) + __pyx_t_15 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_15, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H1_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 301, __pyx_L1_error) + } else {__pyx_pybuffernd_H1_numerator.diminfo[0].strides = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H1_numerator.diminfo[0].shape = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H1_numerator.diminfo[1].strides = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H1_numerator.diminfo[1].shape = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_15 = 0; + __pyx_v_H1_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":302 + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 302, __pyx_L1_error) + __pyx_t_16 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_16, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H1_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 302, __pyx_L1_error) + } else {__pyx_pybuffernd_H1_denominator.diminfo[0].strides = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H1_denominator.diminfo[0].shape = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H1_denominator.diminfo[1].strides = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H1_denominator.diminfo[1].shape = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_16 = 0; + __pyx_v_H1_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":303 + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 303, __pyx_L1_error) + __pyx_t_17 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_17, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H2_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 303, __pyx_L1_error) + } else {__pyx_pybuffernd_H2_numerator.diminfo[0].strides = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H2_numerator.diminfo[0].shape = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H2_numerator.diminfo[1].strides = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H2_numerator.diminfo[1].shape = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_17 = 0; + __pyx_v_H2_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":304 + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * + * for t in range(1, self.max_iter + 1): + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 304, __pyx_L1_error) + __pyx_t_18 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_18, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H2_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 304, __pyx_L1_error) + } else {__pyx_pybuffernd_H2_denominator.diminfo[0].strides = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H2_denominator.diminfo[0].shape = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H2_denominator.diminfo[1].strides = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H2_denominator.diminfo[1].shape = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_18 = 0; + __pyx_v_H2_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":306 + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * + * for t in range(1, self.max_iter + 1): # <<<<<<<<<<<<<< + * + * loss = 0. + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_iter); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_t_3, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_19 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_19 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_20 = __pyx_t_19; + for (__pyx_t_2 = 1; __pyx_t_2 < __pyx_t_20; __pyx_t_2+=1) { + __pyx_v_t = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":308 + * for t in range(1, self.max_iter + 1): + * + * loss = 0. # <<<<<<<<<<<<<< + * aspect_bpr_loss = 0. + * correct = 0 + */ + __pyx_v_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":309 + * + * loss = 0. + * aspect_bpr_loss = 0. # <<<<<<<<<<<<<< + * correct = 0 + * U1_numerator.fill(0) + */ + __pyx_v_aspect_bpr_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":310 + * loss = 0. + * aspect_bpr_loss = 0. + * correct = 0 # <<<<<<<<<<<<<< + * U1_numerator.fill(0) + * U1_denominator.fill(0) + */ + __pyx_v_correct = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":311 + * aspect_bpr_loss = 0. + * correct = 0 + * U1_numerator.fill(0) # <<<<<<<<<<<<<< + * U1_denominator.fill(0) + * U2_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U1_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 311, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 311, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":312 + * correct = 0 + * U1_numerator.fill(0) + * U1_denominator.fill(0) # <<<<<<<<<<<<<< + * U2_numerator.fill(0) + * U2_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U1_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 312, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 312, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":313 + * U1_numerator.fill(0) + * U1_denominator.fill(0) + * U2_numerator.fill(0) # <<<<<<<<<<<<<< + * U2_denominator.fill(0) + * V_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U2_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 313, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 313, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":314 + * U1_denominator.fill(0) + * U2_numerator.fill(0) + * U2_denominator.fill(0) # <<<<<<<<<<<<<< + * V_numerator.fill(0) + * V_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U2_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 314, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 314, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":315 + * U2_numerator.fill(0) + * U2_denominator.fill(0) + * V_numerator.fill(0) # <<<<<<<<<<<<<< + * V_denominator.fill(0) + * H1_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_V_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 315, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 315, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":316 + * U2_denominator.fill(0) + * V_numerator.fill(0) + * V_denominator.fill(0) # <<<<<<<<<<<<<< + * H1_numerator.fill(0) + * H1_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_V_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 316, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 316, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":317 + * V_numerator.fill(0) + * V_denominator.fill(0) + * H1_numerator.fill(0) # <<<<<<<<<<<<<< + * H1_denominator.fill(0) + * H2_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H1_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":318 + * V_denominator.fill(0) + * H1_numerator.fill(0) + * H1_denominator.fill(0) # <<<<<<<<<<<<<< + * H2_numerator.fill(0) + * H2_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H1_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":319 + * H1_numerator.fill(0) + * H1_denominator.fill(0) + * H2_numerator.fill(0) # <<<<<<<<<<<<<< + * H2_denominator.fill(0) + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H2_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":320 + * H1_denominator.fill(0) + * H2_numerator.fill(0) + * H2_denominator.fill(0) # <<<<<<<<<<<<<< + * + * with nogil, parallel(num_threads=num_threads): + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H2_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":322 + * H2_denominator.fill(0) + * + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel reduction(-:__pyx_v_aspect_bpr_loss) reduction(+:__pyx_v_correct) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) private(__pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_27, __pyx_t_28, __pyx_t_29, __pyx_t_30, __pyx_t_31, __pyx_t_32, __pyx_t_33, __pyx_t_34, __pyx_t_35, __pyx_t_36, __pyx_t_37, __pyx_t_38, __pyx_t_39, __pyx_t_4, __pyx_t_40, __pyx_t_41) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_num_threads) + #endif /* _OPENMP */ + { + #ifdef _OPENMP + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + Py_BEGIN_ALLOW_THREADS + #endif /* _OPENMP */ + + /* "cornac/models/comparer/recom_comparer_obj.pyx":324 + * with nogil, parallel(num_threads=num_threads): + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): # <<<<<<<<<<<<<< + * i = earlier_indices[idx] + * j = later_indices[idx] + */ + if (unlikely(!__pyx_v_pair_counts.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("pair_counts"); __PYX_ERR(0, 324, __pyx_L12_error) } + __pyx_t_21 = (__pyx_v_pair_counts.shape[0]); + if ((1 == 0)) abort(); + { + float __pyx_parallel_temp0 = ((float)__PYX_NAN()); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + float __pyx_parallel_temp2 = ((float)__PYX_NAN()); + int __pyx_parallel_temp3 = ((int)0xbad0bad0); + float __pyx_parallel_temp4 = ((float)__PYX_NAN()); + int __pyx_parallel_temp5 = ((int)0xbad0bad0); + int __pyx_parallel_temp6 = ((int)0xbad0bad0); + int __pyx_parallel_temp7 = ((int)0xbad0bad0); + int __pyx_parallel_temp8 = ((int)0xbad0bad0); + float __pyx_parallel_temp9 = ((float)__PYX_NAN()); + float __pyx_parallel_temp10 = ((float)__PYX_NAN()); + int __pyx_parallel_temp11 = ((int)0xbad0bad0); + float __pyx_parallel_temp12 = ((float)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_23 = (__pyx_t_21 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_23 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_diff) lastprivate(__pyx_v_f) lastprivate(__pyx_v_grad) lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_score_i) lastprivate(__pyx_v_score_j) lastprivate(__pyx_v_t_count) lastprivate(__pyx_v_z) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_23; __pyx_t_22++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_diff = ((float)__PYX_NAN()); + __pyx_v_f = ((int)0xbad0bad0); + __pyx_v_grad = ((float)__PYX_NAN()); + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_score_i = ((float)__PYX_NAN()); + __pyx_v_score_j = ((float)__PYX_NAN()); + __pyx_v_t_count = ((int)0xbad0bad0); + __pyx_v_z = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":325 + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + * i = earlier_indices[idx] # <<<<<<<<<<<<<< + * j = later_indices[idx] + * k = aspect_indices[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i = (*((long *) ( /* dim=0 */ (__pyx_v_earlier_indices.data + __pyx_t_24 * __pyx_v_earlier_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":326 + * for idx in prange(pair_counts.shape[0]): + * i = earlier_indices[idx] + * j = later_indices[idx] # <<<<<<<<<<<<<< + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_j = (*((long *) ( /* dim=0 */ (__pyx_v_later_indices.data + __pyx_t_24 * __pyx_v_later_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":327 + * i = earlier_indices[idx] + * j = later_indices[idx] + * k = aspect_indices[idx] # <<<<<<<<<<<<<< + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_k = (*((long *) ( /* dim=0 */ (__pyx_v_aspect_indices.data + __pyx_t_24 * __pyx_v_aspect_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":328 + * j = later_indices[idx] + * k = aspect_indices[idx] + * t_count = pair_counts[idx] # <<<<<<<<<<<<<< + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_t_count = (*((long *) ( /* dim=0 */ (__pyx_v_pair_counts.data + __pyx_t_24 * __pyx_v_pair_counts.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":329 + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: # <<<<<<<<<<<<<< + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + */ + __pyx_t_25 = ((__pyx_v_t_count < __pyx_v_min_pair_freq) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L19_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_t_count > __pyx_v_max_pair_freq) != 0); + __pyx_t_4 = __pyx_t_25; + __pyx_L19_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":330 + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue # <<<<<<<<<<<<<< + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + */ + goto __pyx_L14_continue; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":329 + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: # <<<<<<<<<<<<<< + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":331 + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) # <<<<<<<<<<<<<< + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = 0; + __pyx_t_27 = __pyx_v_k; + __pyx_t_28 = 0; + __pyx_v_score_i = __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_24 * __pyx_v_U2.strides[0]) ) + __pyx_t_26 * __pyx_v_U2.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_27 * __pyx_v_V.strides[0]) ) + __pyx_t_28 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":332 + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) # <<<<<<<<<<<<<< + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + */ + __pyx_t_28 = __pyx_v_j; + __pyx_t_27 = 0; + __pyx_t_26 = __pyx_v_k; + __pyx_t_24 = 0; + __pyx_v_score_j = __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_28 * __pyx_v_U2.strides[0]) ) + __pyx_t_27 * __pyx_v_U2.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_26 * __pyx_v_V.strides[0]) ) + __pyx_t_24 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":333 + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): # <<<<<<<<<<<<<< + * diff = score_j - score_i + * if not use_item_pair_popularity: + */ + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_FINER_MODEL) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_DOM_MODEL) != 0); + if (!__pyx_t_25) { + goto __pyx_L24_next_or; + } else { + } + __pyx_t_25 = ((__pyx_v_score_i < __pyx_v_score_j) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_L24_next_or:; + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_AROUND_MODEL) != 0); + if (__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_score_i > __pyx_v_score_j) != 0); + __pyx_t_4 = __pyx_t_25; + __pyx_L22_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":334 + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i # <<<<<<<<<<<<<< + * if not use_item_pair_popularity: + * t_count = 1 + */ + __pyx_v_diff = (__pyx_v_score_j - __pyx_v_score_i); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":335 + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + * if not use_item_pair_popularity: # <<<<<<<<<<<<<< + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + */ + __pyx_t_4 = ((!(__pyx_v_use_item_pair_popularity != 0)) != 0); + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":336 + * diff = score_j - score_i + * if not use_item_pair_popularity: + * t_count = 1 # <<<<<<<<<<<<<< + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + */ + __pyx_v_t_count = 1; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":335 + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + * if not use_item_pair_popularity: # <<<<<<<<<<<<<< + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":337 + * if not use_item_pair_popularity: + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) # <<<<<<<<<<<<<< + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: + */ + __pyx_t_29 = (1.0 + exp((-__pyx_v_diff))); + if (unlikely(__pyx_t_29 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 337, __pyx_L16_error) + } + __pyx_v_aspect_bpr_loss = (__pyx_v_aspect_bpr_loss - ((__pyx_v_lambda_d * (1.0 + log(__pyx_v_t_count))) * log((1.0 / __pyx_t_29)))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":338 + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) # <<<<<<<<<<<<<< + * if z < .5: + * correct += 1 + */ + __pyx_t_29 = (1.0 + exp(__pyx_v_diff)); + if (unlikely(__pyx_t_29 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 338, __pyx_L16_error) + } + __pyx_v_z = (1.0 / __pyx_t_29); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":339 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + */ + __pyx_t_4 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":340 + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: + * correct += 1 # <<<<<<<<<<<<<< + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): + */ + __pyx_v_correct = (__pyx_v_correct + 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":339 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":341 + * if z < .5: + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z # <<<<<<<<<<<<<< + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] + */ + __pyx_v_grad = ((__pyx_v_lambda_d * (1.0 + log(__pyx_v_t_count))) * __pyx_v_z); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":342 + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): # <<<<<<<<<<<<<< + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] + */ + __pyx_t_30 = __pyx_v_num_explicit_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_f = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":343 + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] # <<<<<<<<<<<<<< + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] + */ + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = __pyx_v_f; + __pyx_t_27 = __pyx_v_i; + __pyx_t_28 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (__pyx_v_grad * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_24 * __pyx_v_V.strides[0]) ) + __pyx_t_26 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":344 + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] # <<<<<<<<<<<<<< + * V_denominator[k, f] += grad * U2[i, f] + * V_numerator[k, f] += grad * U2[j, f] + */ + __pyx_t_26 = __pyx_v_k; + __pyx_t_24 = __pyx_v_f; + __pyx_t_28 = __pyx_v_j; + __pyx_t_27 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += (__pyx_v_grad * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_26 * __pyx_v_V.strides[0]) ) + __pyx_t_24 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":345 + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] # <<<<<<<<<<<<<< + * V_numerator[k, f] += grad * U2[j, f] + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = __pyx_v_f; + __pyx_t_27 = __pyx_v_k; + __pyx_t_28 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += (__pyx_v_grad * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_24 * __pyx_v_U2.strides[0]) ) + __pyx_t_26 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":346 + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] + * V_numerator[k, f] += grad * U2[j, f] # <<<<<<<<<<<<<< + * + * for idx in prange(A.shape[0]): + */ + __pyx_t_26 = __pyx_v_j; + __pyx_t_24 = __pyx_v_f; + __pyx_t_28 = __pyx_v_k; + __pyx_t_27 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += (__pyx_v_grad * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_26 * __pyx_v_U2.strides[0]) ) + __pyx_t_24 * __pyx_v_U2.strides[1]) )))); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":333 + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): # <<<<<<<<<<<<<< + * diff = score_j - score_i + * if not use_item_pair_popularity: + */ + } + goto __pyx_L32; + __pyx_L14_continue:; + goto __pyx_L32; + __pyx_L16_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L31; + __pyx_L31:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates8) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_aspect_bpr_loss; + __pyx_parallel_temp1 = __pyx_v_correct; + __pyx_parallel_temp2 = __pyx_v_diff; + __pyx_parallel_temp3 = __pyx_v_f; + __pyx_parallel_temp4 = __pyx_v_grad; + __pyx_parallel_temp5 = __pyx_v_i; + __pyx_parallel_temp6 = __pyx_v_idx; + __pyx_parallel_temp7 = __pyx_v_j; + __pyx_parallel_temp8 = __pyx_v_k; + __pyx_parallel_temp9 = __pyx_v_score_i; + __pyx_parallel_temp10 = __pyx_v_score_j; + __pyx_parallel_temp11 = __pyx_v_t_count; + __pyx_parallel_temp12 = __pyx_v_z; + } + __pyx_L32:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_aspect_bpr_loss = __pyx_parallel_temp0; + __pyx_v_correct = __pyx_parallel_temp1; + __pyx_v_diff = __pyx_parallel_temp2; + __pyx_v_f = __pyx_parallel_temp3; + __pyx_v_grad = __pyx_parallel_temp4; + __pyx_v_i = __pyx_parallel_temp5; + __pyx_v_idx = __pyx_parallel_temp6; + __pyx_v_j = __pyx_parallel_temp7; + __pyx_v_k = __pyx_parallel_temp8; + __pyx_v_score_i = __pyx_parallel_temp9; + __pyx_v_score_j = __pyx_parallel_temp10; + __pyx_v_t_count = __pyx_parallel_temp11; + __pyx_v_z = __pyx_parallel_temp12; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":348 + * V_numerator[k, f] += grad * U2[j, f] + * + * for idx in prange(A.shape[0]): # <<<<<<<<<<<<<< + * i = A_uids[idx] + * j = A_iids[idx] + */ + if (unlikely(!__pyx_v_A.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("A"); __PYX_ERR(0, 348, __pyx_L12_error) } + __pyx_t_23 = (__pyx_v_A.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_21 = (__pyx_t_23 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_21 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":349 + * + * for idx in prange(A.shape[0]): + * i = A_uids[idx] # <<<<<<<<<<<<<< + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i = (*((long *) ( /* dim=0 */ (__pyx_v_A_uids.data + __pyx_t_24 * __pyx_v_A_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":350 + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + * j = A_iids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_j = (*((long *) ( /* dim=0 */ (__pyx_v_A_iids.data + __pyx_t_24 * __pyx_v_A_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":351 + * i = A_uids[idx] + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ # <<<<<<<<<<<<<< + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = 0; + __pyx_t_27 = __pyx_v_j; + __pyx_t_28 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":352 + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) # <<<<<<<<<<<<<< + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = 0; + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = 0; + __pyx_v_prediction = (__pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_24 * __pyx_v_U1.strides[0]) ) + __pyx_t_26 * __pyx_v_U1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_27 * __pyx_v_U2.strides[0]) ) + __pyx_t_28 * __pyx_v_U2.strides[1]) )))), 1) + __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_latent_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_33 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_35 * __pyx_v_H2.strides[0]) ) + __pyx_t_36 * __pyx_v_H2.strides[1]) )))), 1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":353 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] # <<<<<<<<<<<<<< + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_36 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_A.data + __pyx_t_36 * __pyx_v_A.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":354 + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + * loss += (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_prediction - __pyx_v_score) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":355 + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] + */ + __pyx_t_30 = __pyx_v_num_explicit_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_k = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":356 + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] # <<<<<<<<<<<<<< + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] + */ + __pyx_t_36 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U1_numerator.diminfo[1].strides) += (__pyx_v_score * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_36 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":357 + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] # <<<<<<<<<<<<<< + * U2_numerator[j, k] += score * U1[i, k] + * U2_denominator[j, k] += prediction * U1[i, k] + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_36 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":358 + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] # <<<<<<<<<<<<<< + * U2_denominator[j, k] += prediction * U1[i, k] + * + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += (__pyx_v_score * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_36 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":359 + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] + * U2_denominator[j, k] += prediction * U1[i, k] # <<<<<<<<<<<<<< + * + * for k in range(num_latent_factors): + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_36 * __pyx_v_U1.strides[1]) )))); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":361 + * U2_denominator[j, k] += prediction * U1[i, k] + * + * for k in range(num_latent_factors): # <<<<<<<<<<<<<< + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] + */ + __pyx_t_30 = __pyx_v_num_latent_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_k = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":362 + * + * for k in range(num_latent_factors): + * H1_numerator[i, k] += score * H2[j, k] # <<<<<<<<<<<<<< + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] + */ + __pyx_t_36 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H1_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H1_numerator.diminfo[1].strides) += (__pyx_v_score * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_36 * __pyx_v_H2.strides[0]) ) + __pyx_t_35 * __pyx_v_H2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":363 + * for k in range(num_latent_factors): + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] # <<<<<<<<<<<<<< + * H2_numerator[j, k] += score * H1[i, k] + * H2_denominator[j, k] += prediction * H1[i, k] + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H1_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_35 * __pyx_v_H2.strides[0]) ) + __pyx_t_36 * __pyx_v_H2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":364 + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] # <<<<<<<<<<<<<< + * H2_denominator[j, k] += prediction * H1[i, k] + * + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H2_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H2_numerator.diminfo[1].strides) += (__pyx_v_score * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_36 * __pyx_v_H1.strides[0]) ) + __pyx_t_35 * __pyx_v_H1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":365 + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] + * H2_denominator[j, k] += prediction * H1[i, k] # <<<<<<<<<<<<<< + * + * for idx in prange(X.shape[0]): + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H2_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_35 * __pyx_v_H1.strides[0]) ) + __pyx_t_36 * __pyx_v_H1.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":367 + * H2_denominator[j, k] += prediction * H1[i, k] + * + * for idx in prange(X.shape[0]): # <<<<<<<<<<<<<< + * i = X_uids[idx] + * j = X_aids[idx] + */ + if (unlikely(!__pyx_v_X.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("X"); __PYX_ERR(0, 367, __pyx_L12_error) } + __pyx_t_21 = (__pyx_v_X.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_23 = (__pyx_t_21 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_23 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_23; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":368 + * + * for idx in prange(X.shape[0]): + * i = X_uids[idx] # <<<<<<<<<<<<<< + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + */ + __pyx_t_36 = __pyx_v_idx; + __pyx_v_i = (*((long *) ( /* dim=0 */ (__pyx_v_X_uids.data + __pyx_t_36 * __pyx_v_X_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":369 + * for idx in prange(X.shape[0]): + * i = X_uids[idx] + * j = X_aids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] + */ + __pyx_t_36 = __pyx_v_idx; + __pyx_v_j = (*((long *) ( /* dim=0 */ (__pyx_v_X_aids.data + __pyx_t_36 * __pyx_v_X_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":370 + * i = X_uids[idx] + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) # <<<<<<<<<<<<<< + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = 0; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = 0; + __pyx_v_prediction = __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_36 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_33 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":371 + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] # <<<<<<<<<<<<<< + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_33 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_X.data + __pyx_t_33 * __pyx_v_X.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":372 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_x * (__pyx_v_prediction - __pyx_v_score)) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":373 + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + */ + __pyx_t_30 = __pyx_v_num_explicit_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_k = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":374 + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] # <<<<<<<<<<<<<< + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_36, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_score) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_33 * __pyx_v_U1.strides[0]) ) + __pyx_t_34 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":375 + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] # <<<<<<<<<<<<<< + * U1_numerator[i, k] += lambda_x * score * V[j, k] + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + __pyx_t_36 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_prediction) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_33 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":376 + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] # <<<<<<<<<<<<<< + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + * + */ + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_36, __pyx_pybuffernd_U1_numerator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_score) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_33 * __pyx_v_V.strides[0]) ) + __pyx_t_34 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":377 + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] # <<<<<<<<<<<<<< + * + * for idx in prange(Y.shape[0]): + */ + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_prediction) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_33 * __pyx_v_V.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":379 + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + * + * for idx in prange(Y.shape[0]): # <<<<<<<<<<<<<< + * i = Y_iids[idx] + * j = Y_aids[idx] + */ + if (unlikely(!__pyx_v_Y.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("Y"); __PYX_ERR(0, 379, __pyx_L12_error) } + __pyx_t_23 = (__pyx_v_Y.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_21 = (__pyx_t_23 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_21 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":380 + * + * for idx in prange(Y.shape[0]): + * i = Y_iids[idx] # <<<<<<<<<<<<<< + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + */ + __pyx_t_33 = __pyx_v_idx; + __pyx_v_i = (*((long *) ( /* dim=0 */ (__pyx_v_Y_iids.data + __pyx_t_33 * __pyx_v_Y_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":381 + * for idx in prange(Y.shape[0]): + * i = Y_iids[idx] + * j = Y_aids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] + */ + __pyx_t_33 = __pyx_v_idx; + __pyx_v_j = (*((long *) ( /* dim=0 */ (__pyx_v_Y_aids.data + __pyx_t_33 * __pyx_v_Y_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":382 + * i = Y_iids[idx] + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) # <<<<<<<<<<<<<< + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = 0; + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = 0; + __pyx_v_prediction = __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_33 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_36 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":383 + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] # <<<<<<<<<<<<<< + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_36 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_Y.data + __pyx_t_36 * __pyx_v_Y.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":384 + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_y * (__pyx_v_prediction - __pyx_v_score)) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":385 + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + */ + __pyx_t_30 = __pyx_v_num_explicit_factors; + __pyx_t_31 = __pyx_t_30; + for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_31; __pyx_t_32+=1) { + __pyx_v_k = __pyx_t_32; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":386 + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] # <<<<<<<<<<<<<< + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_score) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_36 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":387 + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] # <<<<<<<<<<<<<< + * U2_numerator[i, k] += lambda_y * score * V[j, k] + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_prediction) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_36 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":388 + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] # <<<<<<<<<<<<<< + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] + * + */ + __pyx_t_36 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_score) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_36 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":389 + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] # <<<<<<<<<<<<<< + * + * # update V + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_prediction) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_36 * __pyx_v_V.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":392 + * + * # update V + * for i in prange(num_aspects): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] + */ + __pyx_t_30 = __pyx_v_num_aspects; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + float __pyx_parallel_temp2 = ((float)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_32 = (__pyx_t_30 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_32 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_32; __pyx_t_31++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_31); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":393 + * # update V + * for i in prange(num_aspects): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_explicit_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":394 + * for i in prange(num_aspects): + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] # <<<<<<<<<<<<<< + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_v * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_36 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_33 * __pyx_v_V.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":395 + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps # <<<<<<<<<<<<<< + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + * + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + __pyx_t_28 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += (((((*((long *) ( /* dim=0 */ (__pyx_v_X_aspect_counts.data + __pyx_t_33 * __pyx_v_X_aspect_counts.strides[0]) ))) + (*((long *) ( /* dim=0 */ (__pyx_v_Y_aspect_counts.data + __pyx_t_34 * __pyx_v_Y_aspect_counts.strides[0]) )))) * __pyx_v_lambda_v) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_36 * __pyx_v_V.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":396 + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) # <<<<<<<<<<<<<< + * + * # update U1, H1 + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_V_numerator.diminfo[1].strides)); + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_36, __pyx_pybuffernd_V_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_41 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 396, __pyx_L61_error) + } + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_36 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_41)); + } + goto __pyx_L66; + __pyx_L61_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L65; + __pyx_L65:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates9) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L66:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":399 + * + * # update U1, H1 + * for i in prange(num_users): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] + */ + __pyx_t_32 = __pyx_v_num_users; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + float __pyx_parallel_temp2 = ((float)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_30 = (__pyx_t_32 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_30 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_31); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":400 + * # update U1, H1 + * for i in prange(num_users): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_explicit_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":401 + * for i in prange(num_users): + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] # <<<<<<<<<<<<<< + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_u * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_36 * __pyx_v_U1.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_33 * __pyx_v_U1.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":402 + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps # <<<<<<<<<<<<<< + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_27 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += (((((*((long *) ( /* dim=0 */ (__pyx_v_A_user_counts.data + __pyx_t_33 * __pyx_v_A_user_counts.strides[0]) ))) + (*((long *) ( /* dim=0 */ (__pyx_v_X_user_counts.data + __pyx_t_34 * __pyx_v_X_user_counts.strides[0]) )))) * __pyx_v_lambda_u) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_36 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":403 + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) # <<<<<<<<<<<<<< + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_36, __pyx_pybuffernd_U1_numerator.diminfo[1].strides)); + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U1_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 403, __pyx_L69_error) + } + __pyx_t_35 = __pyx_v_i; + __pyx_t_36 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_36 * __pyx_v_U1.strides[1]) )) *= sqrt((__pyx_t_41 / __pyx_t_40)); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":404 + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): # <<<<<<<<<<<<<< + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_latent_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":405 + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] # <<<<<<<<<<<<<< + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + */ + __pyx_t_36 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_h * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_36 * __pyx_v_H1.strides[0]) ) + __pyx_t_35 * __pyx_v_H1.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_34 * __pyx_v_H1.strides[0]) ) + __pyx_t_33 * __pyx_v_H1.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":406 + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps # <<<<<<<<<<<<<< + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + * + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_36 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_H1_denominator.diminfo[1].strides) += ((((*((long *) ( /* dim=0 */ (__pyx_v_A_user_counts.data + __pyx_t_33 * __pyx_v_A_user_counts.strides[0]) ))) * __pyx_v_lambda_h) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_34 * __pyx_v_H1.strides[0]) ) + __pyx_t_35 * __pyx_v_H1.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":407 + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) # <<<<<<<<<<<<<< + * + * # update U2, H2 + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_H1_numerator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H1_numerator.diminfo[1].strides)); + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_H1_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_41 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 407, __pyx_L69_error) + } + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_35 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_41)); + } + goto __pyx_L76; + __pyx_L69_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L75; + __pyx_L75:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates10) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L76:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":410 + * + * # update U2, H2 + * for i in prange(num_items): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] + */ + __pyx_t_30 = __pyx_v_num_items; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + float __pyx_parallel_temp2 = ((float)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_32 = (__pyx_t_30 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_32 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_32; __pyx_t_31++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_31); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":411 + * # update U2, H2 + * for i in prange(num_items): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_explicit_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":412 + * for i in prange(num_items): + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] # <<<<<<<<<<<<<< + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_u * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_33 * __pyx_v_U2.strides[0]) ) + __pyx_t_28 * __pyx_v_U2.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":413 + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps # <<<<<<<<<<<<<< + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): + */ + __pyx_t_28 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_36 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (((((*((long *) ( /* dim=0 */ (__pyx_v_A_item_counts.data + __pyx_t_28 * __pyx_v_A_item_counts.strides[0]) ))) + (*((long *) ( /* dim=0 */ (__pyx_v_Y_item_counts.data + __pyx_t_33 * __pyx_v_Y_item_counts.strides[0]) )))) * __pyx_v_lambda_u) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":414 + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) # <<<<<<<<<<<<<< + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U2_numerator.diminfo[1].strides)); + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U2_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 414, __pyx_L79_error) + } + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )) *= sqrt((__pyx_t_41 / __pyx_t_40)); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":415 + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): # <<<<<<<<<<<<<< + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + */ + __pyx_t_37 = __pyx_v_num_latent_factors; + __pyx_t_38 = __pyx_t_37; + for (__pyx_t_39 = 0; __pyx_t_39 < __pyx_t_38; __pyx_t_39+=1) { + __pyx_v_j = __pyx_t_39; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":416 + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] # <<<<<<<<<<<<<< + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_h * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_35 * __pyx_v_H2.strides[0]) ) + __pyx_t_34 * __pyx_v_H2.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_33 * __pyx_v_H2.strides[0]) ) + __pyx_t_28 * __pyx_v_H2.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":417 + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps # <<<<<<<<<<<<<< + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + */ + __pyx_t_28 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_H2_denominator.diminfo[1].strides) += ((((*((long *) ( /* dim=0 */ (__pyx_v_A_item_counts.data + __pyx_t_28 * __pyx_v_A_item_counts.strides[0]) ))) * __pyx_v_lambda_h) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_33 * __pyx_v_H2.strides[0]) ) + __pyx_t_34 * __pyx_v_H2.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":418 + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H2_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H2_numerator.diminfo[1].strides)); + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_41 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H2_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_41 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 418, __pyx_L79_error) + } + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_34 * __pyx_v_H2.strides[0]) ) + __pyx_t_33 * __pyx_v_H2.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_41)); + } + goto __pyx_L86; + __pyx_L79_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L85; + __pyx_L85:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates11) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L86:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + goto __pyx_L88; + __pyx_L12_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L88; + __pyx_L88:; + #ifdef _OPENMP + Py_END_ALLOW_THREADS + #else +{ +#ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #endif /* _OPENMP */ + /* Clean up any temporaries */ + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + #ifndef _OPENMP +} +#endif /* _OPENMP */ + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L8_error; + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":322 + * H2_denominator.fill(0) + * + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L9; + } + __pyx_L8_error: { + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L1_error; + } + __pyx_L9:; + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":420 + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 420, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 420, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":421 + * + * if self.verbose: + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) # <<<<<<<<<<<<<< + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): + */ + __pyx_t_1 = PyTuple_New(8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_21 = 0; + __pyx_t_42 = 127; + __Pyx_INCREF(__pyx_kp_u_iter); + __pyx_t_21 += 6; + __Pyx_GIVEREF(__pyx_kp_u_iter); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_kp_u_iter); + __pyx_t_3 = __Pyx_PyUnicode_From_int(__pyx_v_t, 0, ' ', 'd'); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_kp_u_loss); + __pyx_t_21 += 8; + __Pyx_GIVEREF(__pyx_kp_u_loss); + PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_kp_u_loss); + __pyx_t_3 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyObject_Format(__pyx_t_3, __pyx_kp_u_2f); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_42 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) > __pyx_t_42) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) : __pyx_t_42; + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 3, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_INCREF(__pyx_kp_u_aspect_bpr_loss); + __pyx_t_21 += 19; + __Pyx_GIVEREF(__pyx_kp_u_aspect_bpr_loss); + PyTuple_SET_ITEM(__pyx_t_1, 4, __pyx_kp_u_aspect_bpr_loss); + __pyx_t_6 = PyFloat_FromDouble(__pyx_v_aspect_bpr_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_3 = __Pyx_PyObject_Format(__pyx_t_6, __pyx_kp_u_2f); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_42 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) > __pyx_t_42) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) : __pyx_t_42; + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 5, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_kp_u_correct); + __pyx_t_21 += 11; + __Pyx_GIVEREF(__pyx_kp_u_correct); + PyTuple_SET_ITEM(__pyx_t_1, 6, __pyx_kp_u_correct); + __pyx_t_3 = __Pyx_PyUnicode_From_int(__pyx_v_correct, 0, ' ', 'd'); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 7, __pyx_t_3); + __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyUnicode_Join(__pyx_t_1, 8, __pyx_t_21, __pyx_t_42); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":420 + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":423 + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): # <<<<<<<<<<<<<< + * break + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_25 = (__pyx_t_1 != Py_None); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_43 = (__pyx_t_25 != 0); + if (__pyx_t_43) { + } else { + __pyx_t_4 = __pyx_t_43; + goto __pyx_L91_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stop); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + if (unlikely(__pyx_t_6 == Py_None)) { + PyErr_SetString(PyExc_TypeError, "argument after ** must be a mapping, not NoneType"); + __PYX_ERR(0, 423, __pyx_L1_error) + } + if (likely(PyDict_CheckExact(__pyx_t_6))) { + __pyx_t_3 = PyDict_Copy(__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } else { + __pyx_t_3 = PyObject_CallFunctionObjArgs((PyObject*)&PyDict_Type, __pyx_t_6, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_empty_tuple, __pyx_t_3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_43 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_43 < 0)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_4 = __pyx_t_43; + __pyx_L91_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":424 + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): + * break # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + goto __pyx_L4_break; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":423 + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): # <<<<<<<<<<<<<< + * break + * + */ + } + } + __pyx_L4_break:; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":426 + * break + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":427 + * + * if self.verbose: + * print('Optimization finished!') # <<<<<<<<<<<<<< + * + * @cython.boundscheck(False) + */ + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":426 + * break + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":261 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_efm(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, integral[:] A_user_counts, integral[:] A_item_counts, + * floating[:] X, integral[:] X_uids, integral[:] X_aids, integral[:] X_user_counts, integral[:] X_aspect_counts, + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer); + __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._fit_efm", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + goto __pyx_L2; + __pyx_L0:; + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer); + __pyx_L2:; + __Pyx_XDECREF((PyObject *)__pyx_v_U1_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_U1_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_U2_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_U2_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_V_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_V_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_H1_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_H1_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_H2_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_H2_denominator); + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_user_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_item_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_user_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aspect_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_item_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_aspect_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_earlier_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_later_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_aspect_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_pair_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_V, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H2, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_1_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_41_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_1_0__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_41_fit_efm = {"__pyx_fuse_1_0_fit_efm", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_1_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_41_fit_efm, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_10_fit_efm}; +static PyObject *__pyx_fuse_1_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_41_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + int __pyx_v_num_threads; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_user_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_item_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_user_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aspect_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_item_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_aspect_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_earlier_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_later_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_aspect_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_pair_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_V = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_fit_efm (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_num_threads,&__pyx_n_s_A,&__pyx_n_s_A_uids,&__pyx_n_s_A_iids,&__pyx_n_s_A_user_counts,&__pyx_n_s_A_item_counts,&__pyx_n_s_X,&__pyx_n_s_X_uids,&__pyx_n_s_X_aids,&__pyx_n_s_X_user_counts,&__pyx_n_s_X_aspect_counts,&__pyx_n_s_Y,&__pyx_n_s_Y_iids,&__pyx_n_s_Y_aids,&__pyx_n_s_Y_item_counts,&__pyx_n_s_Y_aspect_counts,&__pyx_n_s_earlier_indices,&__pyx_n_s_later_indices,&__pyx_n_s_aspect_indices,&__pyx_n_s_pair_counts,&__pyx_n_s_U1,&__pyx_n_s_U2,&__pyx_n_s_V,&__pyx_n_s_H1,&__pyx_n_s_H2,0}; + PyObject* values[26] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 1); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 2); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 3); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 4); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_user_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 5); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_item_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 6); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 7); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 8); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 9); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 10: + if (likely((values[10] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_user_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 10); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 11: + if (likely((values[11] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aspect_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 11); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 12: + if (likely((values[12] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 12); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 13: + if (likely((values[13] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 13); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 14: + if (likely((values[14] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 14); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 15: + if (likely((values[15] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_item_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 15); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 16: + if (likely((values[16] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_aspect_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 16); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 17: + if (likely((values[17] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_earlier_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 17); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 18: + if (likely((values[18] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_later_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 18); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 19: + if (likely((values[19] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_aspect_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 19); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 20: + if (likely((values[20] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pair_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 20); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 21: + if (likely((values[21] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 21); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 22: + if (likely((values[22] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 22); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 23: + if (likely((values[23] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_V)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 23); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 24: + if (likely((values[24] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 24); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 25: + if (likely((values[25] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 25); __PYX_ERR(0, 261, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_fit_efm") < 0)) __PYX_ERR(0, 261, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 26) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + } + __pyx_v_self = values[0]; + __pyx_v_num_threads = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_num_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[2], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[3], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_uids.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[4], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_iids.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_user_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[5], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_user_counts.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_item_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[6], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_item_counts.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_X = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[7], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_uids.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aids.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_user_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[10], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_user_counts.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_aspect_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[11], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aspect_counts.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_Y = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[12], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[13], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_iids.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[14], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_aids.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_item_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[15], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_item_counts.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_aspect_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[16], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_aspect_counts.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_earlier_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[17], PyBUF_WRITABLE); if (unlikely(!__pyx_v_earlier_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_later_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[18], PyBUF_WRITABLE); if (unlikely(!__pyx_v_later_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_aspect_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[19], PyBUF_WRITABLE); if (unlikely(!__pyx_v_aspect_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_pair_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[20], PyBUF_WRITABLE); if (unlikely(!__pyx_v_pair_counts.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_U1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[21], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U1.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_U2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[22], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U2.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_V = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[23], PyBUF_WRITABLE); if (unlikely(!__pyx_v_V.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_H1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[24], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H1.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_H2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[25], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H2.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._fit_efm", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_40_fit_efm(__pyx_self, __pyx_v_self, __pyx_v_num_threads, __pyx_v_A, __pyx_v_A_uids, __pyx_v_A_iids, __pyx_v_A_user_counts, __pyx_v_A_item_counts, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_aids, __pyx_v_X_user_counts, __pyx_v_X_aspect_counts, __pyx_v_Y, __pyx_v_Y_iids, __pyx_v_Y_aids, __pyx_v_Y_item_counts, __pyx_v_Y_aspect_counts, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_v_U1, __pyx_v_U2, __pyx_v_V, __pyx_v_H1, __pyx_v_H2); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_40_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_A_user_counts, __Pyx_memviewslice __pyx_v_A_item_counts, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_X_user_counts, __Pyx_memviewslice __pyx_v_X_aspect_counts, __Pyx_memviewslice __pyx_v_Y, __Pyx_memviewslice __pyx_v_Y_iids, __Pyx_memviewslice __pyx_v_Y_aids, __Pyx_memviewslice __pyx_v_Y_item_counts, __Pyx_memviewslice __pyx_v_Y_aspect_counts, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2) { + int __pyx_v_model_type; + int __pyx_v_FINER_MODEL; + int __pyx_v_DOM_MODEL; + int __pyx_v_AROUND_MODEL; + int __pyx_v_num_users; + int __pyx_v_num_items; + int __pyx_v_num_aspects; + int __pyx_v_num_explicit_factors; + int __pyx_v_num_latent_factors; + int __pyx_v_min_pair_freq; + int __pyx_v_max_pair_freq; + int __pyx_v_use_item_pair_popularity; + double __pyx_v_lambda_x; + double __pyx_v_lambda_y; + double __pyx_v_lambda_u; + double __pyx_v_lambda_h; + double __pyx_v_lambda_v; + double __pyx_v_lambda_d; + double __pyx_v_prediction; + double __pyx_v_score; + double __pyx_v_score_i; + double __pyx_v_score_j; + double __pyx_v_loss; + double __pyx_v_aspect_bpr_loss; + double __pyx_v_diff; + double __pyx_v_grad; + double __pyx_v_z; + double __pyx_v_eps; + int __pyx_v_t_count; + int __pyx_v_correct; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_k; + int __pyx_v_f; + int __pyx_v_idx; + int __pyx_v_t; + PyArrayObject *__pyx_v_U1_numerator = 0; + PyArrayObject *__pyx_v_U1_denominator = 0; + PyArrayObject *__pyx_v_U2_numerator = 0; + PyArrayObject *__pyx_v_U2_denominator = 0; + PyArrayObject *__pyx_v_V_numerator = 0; + PyArrayObject *__pyx_v_V_denominator = 0; + PyArrayObject *__pyx_v_H1_numerator = 0; + PyArrayObject *__pyx_v_H1_denominator = 0; + PyArrayObject *__pyx_v_H2_numerator = 0; + PyArrayObject *__pyx_v_H2_denominator = 0; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H1_denominator; + __Pyx_Buffer __pyx_pybuffer_H1_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H1_numerator; + __Pyx_Buffer __pyx_pybuffer_H1_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H2_denominator; + __Pyx_Buffer __pyx_pybuffer_H2_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H2_numerator; + __Pyx_Buffer __pyx_pybuffer_H2_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U1_denominator; + __Pyx_Buffer __pyx_pybuffer_U1_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U1_numerator; + __Pyx_Buffer __pyx_pybuffer_U1_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U2_denominator; + __Pyx_Buffer __pyx_pybuffer_U2_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U2_numerator; + __Pyx_Buffer __pyx_pybuffer_U2_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_V_denominator; + __Pyx_Buffer __pyx_pybuffer_V_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_V_numerator; + __Pyx_Buffer __pyx_pybuffer_V_numerator; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + double __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + PyArrayObject *__pyx_t_9 = NULL; + PyArrayObject *__pyx_t_10 = NULL; + PyArrayObject *__pyx_t_11 = NULL; + PyArrayObject *__pyx_t_12 = NULL; + PyArrayObject *__pyx_t_13 = NULL; + PyArrayObject *__pyx_t_14 = NULL; + PyArrayObject *__pyx_t_15 = NULL; + PyArrayObject *__pyx_t_16 = NULL; + PyArrayObject *__pyx_t_17 = NULL; + PyArrayObject *__pyx_t_18 = NULL; + long __pyx_t_19; + long __pyx_t_20; + Py_ssize_t __pyx_t_21; + Py_ssize_t __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + int __pyx_t_25; + Py_ssize_t __pyx_t_26; + Py_ssize_t __pyx_t_27; + Py_ssize_t __pyx_t_28; + int __pyx_t_29; + int __pyx_t_30; + int __pyx_t_31; + Py_ssize_t __pyx_t_32; + Py_ssize_t __pyx_t_33; + Py_ssize_t __pyx_t_34; + Py_ssize_t __pyx_t_35; + int __pyx_t_36; + int __pyx_t_37; + int __pyx_t_38; + __pyx_t_5numpy_float32_t __pyx_t_39; + __pyx_t_5numpy_float32_t __pyx_t_40; + Py_UCS4 __pyx_t_41; + int __pyx_t_42; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_1_0_fit_efm", 0); + __pyx_pybuffer_U1_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_U1_numerator.refcount = 0; + __pyx_pybuffernd_U1_numerator.data = NULL; + __pyx_pybuffernd_U1_numerator.rcbuffer = &__pyx_pybuffer_U1_numerator; + __pyx_pybuffer_U1_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_U1_denominator.refcount = 0; + __pyx_pybuffernd_U1_denominator.data = NULL; + __pyx_pybuffernd_U1_denominator.rcbuffer = &__pyx_pybuffer_U1_denominator; + __pyx_pybuffer_U2_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_U2_numerator.refcount = 0; + __pyx_pybuffernd_U2_numerator.data = NULL; + __pyx_pybuffernd_U2_numerator.rcbuffer = &__pyx_pybuffer_U2_numerator; + __pyx_pybuffer_U2_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_U2_denominator.refcount = 0; + __pyx_pybuffernd_U2_denominator.data = NULL; + __pyx_pybuffernd_U2_denominator.rcbuffer = &__pyx_pybuffer_U2_denominator; + __pyx_pybuffer_V_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_V_numerator.refcount = 0; + __pyx_pybuffernd_V_numerator.data = NULL; + __pyx_pybuffernd_V_numerator.rcbuffer = &__pyx_pybuffer_V_numerator; + __pyx_pybuffer_V_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_V_denominator.refcount = 0; + __pyx_pybuffernd_V_denominator.data = NULL; + __pyx_pybuffernd_V_denominator.rcbuffer = &__pyx_pybuffer_V_denominator; + __pyx_pybuffer_H1_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_H1_numerator.refcount = 0; + __pyx_pybuffernd_H1_numerator.data = NULL; + __pyx_pybuffernd_H1_numerator.rcbuffer = &__pyx_pybuffer_H1_numerator; + __pyx_pybuffer_H1_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_H1_denominator.refcount = 0; + __pyx_pybuffernd_H1_denominator.data = NULL; + __pyx_pybuffernd_H1_denominator.rcbuffer = &__pyx_pybuffer_H1_denominator; + __pyx_pybuffer_H2_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_H2_numerator.refcount = 0; + __pyx_pybuffernd_H2_numerator.data = NULL; + __pyx_pybuffernd_H2_numerator.rcbuffer = &__pyx_pybuffer_H2_numerator; + __pyx_pybuffer_H2_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_H2_denominator.refcount = 0; + __pyx_pybuffernd_H2_denominator.data = NULL; + __pyx_pybuffernd_H2_denominator.rcbuffer = &__pyx_pybuffer_H2_denominator; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":270 + * """ + * cdef: + * int model_type = self.model_type # <<<<<<<<<<<<<< + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_model_type); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_model_type = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":271 + * cdef: + * int model_type = self.model_type + * int FINER_MODEL = MODEL_TYPES["Finer"] # <<<<<<<<<<<<<< + * int DOM_MODEL = MODEL_TYPES["Dominant"] + * int AROUND_MODEL = MODEL_TYPES["Around"] + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_n_u_Finer); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_FINER_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":272 + * int model_type = self.model_type + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] # <<<<<<<<<<<<<< + * int AROUND_MODEL = MODEL_TYPES["Around"] + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_3, __pyx_n_u_Dominant); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_DOM_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":273 + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] + * int AROUND_MODEL = MODEL_TYPES["Around"] # <<<<<<<<<<<<<< + * + * int num_users = self.train_set.num_users + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_n_u_Around); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_AROUND_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":275 + * int AROUND_MODEL = MODEL_TYPES["Around"] + * + * int num_users = self.train_set.num_users # <<<<<<<<<<<<<< + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_num_users); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_users = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":276 + * + * int num_users = self.train_set.num_users + * int num_items = self.train_set.num_items # <<<<<<<<<<<<<< + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_items = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":277 + * int num_users = self.train_set.num_users + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects # <<<<<<<<<<<<<< + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_aspects = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":278 + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors # <<<<<<<<<<<<<< + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 278, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 278, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_explicit_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":279 + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors # <<<<<<<<<<<<<< + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 279, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 279, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_latent_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":280 + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq # <<<<<<<<<<<<<< + * int max_pair_freq = self.max_pair_freq + * bint use_item_pair_popularity = self.use_item_pair_popularity + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_pair_freq); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_min_pair_freq = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":281 + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq # <<<<<<<<<<<<<< + * bint use_item_pair_popularity = self.use_item_pair_popularity + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_pair_freq); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_max_pair_freq = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":282 + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq + * bint use_item_pair_popularity = self.use_item_pair_popularity # <<<<<<<<<<<<<< + * + * floating lambda_x = self.lambda_x + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_use_item_pair_popularity); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_use_item_pair_popularity = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":284 + * bint use_item_pair_popularity = self.use_item_pair_popularity + * + * floating lambda_x = self.lambda_x # <<<<<<<<<<<<<< + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_x); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_x = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":285 + * + * floating lambda_x = self.lambda_x + * floating lambda_y = self.lambda_y # <<<<<<<<<<<<<< + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_y); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_y = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":286 + * floating lambda_x = self.lambda_x + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u # <<<<<<<<<<<<<< + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_u); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_u = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":287 + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h # <<<<<<<<<<<<<< + * floating lambda_v = self.lambda_v + * floating lambda_d = self.lambda_d + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_h); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_h = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":288 + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v # <<<<<<<<<<<<<< + * floating lambda_d = self.lambda_d + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_v); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_v = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":289 + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v + * floating lambda_d = self.lambda_d # <<<<<<<<<<<<<< + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_d = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":291 + * floating lambda_d = self.lambda_d + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 # <<<<<<<<<<<<<< + * int t_count = 1, correct = 0 + * int i, j, k, f, idx, t + */ + __pyx_v_eps = 1e-9; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":292 + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + * int t_count = 1, correct = 0 # <<<<<<<<<<<<<< + * int i, j, k, f, idx, t + * + */ + __pyx_v_t_count = 1; + __pyx_v_correct = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":295 + * int i, j, k, f, idx, t + * + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 295, __pyx_L1_error) + __pyx_t_9 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_9, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U1_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 295, __pyx_L1_error) + } else {__pyx_pybuffernd_U1_numerator.diminfo[0].strides = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U1_numerator.diminfo[0].shape = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U1_numerator.diminfo[1].strides = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U1_numerator.diminfo[1].shape = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_9 = 0; + __pyx_v_U1_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":296 + * + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 296, __pyx_L1_error) + __pyx_t_10 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_10, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U1_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 296, __pyx_L1_error) + } else {__pyx_pybuffernd_U1_denominator.diminfo[0].strides = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U1_denominator.diminfo[0].shape = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U1_denominator.diminfo[1].strides = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U1_denominator.diminfo[1].shape = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_10 = 0; + __pyx_v_U1_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":297 + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 297, __pyx_L1_error) + __pyx_t_11 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_11, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U2_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 297, __pyx_L1_error) + } else {__pyx_pybuffernd_U2_numerator.diminfo[0].strides = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U2_numerator.diminfo[0].shape = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U2_numerator.diminfo[1].strides = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U2_numerator.diminfo[1].shape = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_11 = 0; + __pyx_v_U2_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":298 + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 298, __pyx_L1_error) + __pyx_t_12 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_12, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U2_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 298, __pyx_L1_error) + } else {__pyx_pybuffernd_U2_denominator.diminfo[0].strides = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U2_denominator.diminfo[0].shape = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U2_denominator.diminfo[1].strides = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U2_denominator.diminfo[1].shape = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_12 = 0; + __pyx_v_U2_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":299 + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 299, __pyx_L1_error) + __pyx_t_13 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_13, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_V_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 299, __pyx_L1_error) + } else {__pyx_pybuffernd_V_numerator.diminfo[0].strides = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_V_numerator.diminfo[0].shape = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_V_numerator.diminfo[1].strides = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_V_numerator.diminfo[1].shape = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_13 = 0; + __pyx_v_V_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":300 + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_aspects); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 300, __pyx_L1_error) + __pyx_t_14 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_14, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_V_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 300, __pyx_L1_error) + } else {__pyx_pybuffernd_V_denominator.diminfo[0].strides = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_V_denominator.diminfo[0].shape = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_V_denominator.diminfo[1].strides = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_V_denominator.diminfo[1].shape = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_14 = 0; + __pyx_v_V_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":301 + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 301, __pyx_L1_error) + __pyx_t_15 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_15, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H1_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 301, __pyx_L1_error) + } else {__pyx_pybuffernd_H1_numerator.diminfo[0].strides = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H1_numerator.diminfo[0].shape = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H1_numerator.diminfo[1].strides = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H1_numerator.diminfo[1].shape = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_15 = 0; + __pyx_v_H1_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":302 + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 302, __pyx_L1_error) + __pyx_t_16 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_16, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H1_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 302, __pyx_L1_error) + } else {__pyx_pybuffernd_H1_denominator.diminfo[0].strides = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H1_denominator.diminfo[0].shape = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H1_denominator.diminfo[1].strides = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H1_denominator.diminfo[1].shape = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_16 = 0; + __pyx_v_H1_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":303 + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 303, __pyx_L1_error) + __pyx_t_17 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_17, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H2_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 303, __pyx_L1_error) + } else {__pyx_pybuffernd_H2_numerator.diminfo[0].strides = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H2_numerator.diminfo[0].shape = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H2_numerator.diminfo[1].strides = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H2_numerator.diminfo[1].shape = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_17 = 0; + __pyx_v_H2_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":304 + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * + * for t in range(1, self.max_iter + 1): + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 304, __pyx_L1_error) + __pyx_t_18 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_18, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H2_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 304, __pyx_L1_error) + } else {__pyx_pybuffernd_H2_denominator.diminfo[0].strides = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H2_denominator.diminfo[0].shape = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H2_denominator.diminfo[1].strides = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H2_denominator.diminfo[1].shape = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_18 = 0; + __pyx_v_H2_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":306 + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * + * for t in range(1, self.max_iter + 1): # <<<<<<<<<<<<<< + * + * loss = 0. + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_iter); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_t_3, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_19 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_19 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_20 = __pyx_t_19; + for (__pyx_t_2 = 1; __pyx_t_2 < __pyx_t_20; __pyx_t_2+=1) { + __pyx_v_t = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":308 + * for t in range(1, self.max_iter + 1): + * + * loss = 0. # <<<<<<<<<<<<<< + * aspect_bpr_loss = 0. + * correct = 0 + */ + __pyx_v_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":309 + * + * loss = 0. + * aspect_bpr_loss = 0. # <<<<<<<<<<<<<< + * correct = 0 + * U1_numerator.fill(0) + */ + __pyx_v_aspect_bpr_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":310 + * loss = 0. + * aspect_bpr_loss = 0. + * correct = 0 # <<<<<<<<<<<<<< + * U1_numerator.fill(0) + * U1_denominator.fill(0) + */ + __pyx_v_correct = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":311 + * aspect_bpr_loss = 0. + * correct = 0 + * U1_numerator.fill(0) # <<<<<<<<<<<<<< + * U1_denominator.fill(0) + * U2_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U1_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 311, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 311, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":312 + * correct = 0 + * U1_numerator.fill(0) + * U1_denominator.fill(0) # <<<<<<<<<<<<<< + * U2_numerator.fill(0) + * U2_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U1_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 312, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 312, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":313 + * U1_numerator.fill(0) + * U1_denominator.fill(0) + * U2_numerator.fill(0) # <<<<<<<<<<<<<< + * U2_denominator.fill(0) + * V_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U2_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 313, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 313, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":314 + * U1_denominator.fill(0) + * U2_numerator.fill(0) + * U2_denominator.fill(0) # <<<<<<<<<<<<<< + * V_numerator.fill(0) + * V_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U2_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 314, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 314, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":315 + * U2_numerator.fill(0) + * U2_denominator.fill(0) + * V_numerator.fill(0) # <<<<<<<<<<<<<< + * V_denominator.fill(0) + * H1_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_V_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 315, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 315, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":316 + * U2_denominator.fill(0) + * V_numerator.fill(0) + * V_denominator.fill(0) # <<<<<<<<<<<<<< + * H1_numerator.fill(0) + * H1_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_V_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 316, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 316, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":317 + * V_numerator.fill(0) + * V_denominator.fill(0) + * H1_numerator.fill(0) # <<<<<<<<<<<<<< + * H1_denominator.fill(0) + * H2_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H1_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":318 + * V_denominator.fill(0) + * H1_numerator.fill(0) + * H1_denominator.fill(0) # <<<<<<<<<<<<<< + * H2_numerator.fill(0) + * H2_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H1_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":319 + * H1_numerator.fill(0) + * H1_denominator.fill(0) + * H2_numerator.fill(0) # <<<<<<<<<<<<<< + * H2_denominator.fill(0) + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H2_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":320 + * H1_denominator.fill(0) + * H2_numerator.fill(0) + * H2_denominator.fill(0) # <<<<<<<<<<<<<< + * + * with nogil, parallel(num_threads=num_threads): + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H2_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":322 + * H2_denominator.fill(0) + * + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel reduction(-:__pyx_v_aspect_bpr_loss) reduction(+:__pyx_v_correct) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) private(__pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_27, __pyx_t_28, __pyx_t_29, __pyx_t_30, __pyx_t_31, __pyx_t_32, __pyx_t_33, __pyx_t_34, __pyx_t_35, __pyx_t_36, __pyx_t_37, __pyx_t_38, __pyx_t_39, __pyx_t_4, __pyx_t_40, __pyx_t_5) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_num_threads) + #endif /* _OPENMP */ + { + #ifdef _OPENMP + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + Py_BEGIN_ALLOW_THREADS + #endif /* _OPENMP */ + + /* "cornac/models/comparer/recom_comparer_obj.pyx":324 + * with nogil, parallel(num_threads=num_threads): + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): # <<<<<<<<<<<<<< + * i = earlier_indices[idx] + * j = later_indices[idx] + */ + if (unlikely(!__pyx_v_pair_counts.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("pair_counts"); __PYX_ERR(0, 324, __pyx_L12_error) } + __pyx_t_21 = (__pyx_v_pair_counts.shape[0]); + if ((1 == 0)) abort(); + { + double __pyx_parallel_temp0 = ((double)__PYX_NAN()); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + double __pyx_parallel_temp2 = ((double)__PYX_NAN()); + int __pyx_parallel_temp3 = ((int)0xbad0bad0); + double __pyx_parallel_temp4 = ((double)__PYX_NAN()); + int __pyx_parallel_temp5 = ((int)0xbad0bad0); + int __pyx_parallel_temp6 = ((int)0xbad0bad0); + int __pyx_parallel_temp7 = ((int)0xbad0bad0); + int __pyx_parallel_temp8 = ((int)0xbad0bad0); + double __pyx_parallel_temp9 = ((double)__PYX_NAN()); + double __pyx_parallel_temp10 = ((double)__PYX_NAN()); + int __pyx_parallel_temp11 = ((int)0xbad0bad0); + double __pyx_parallel_temp12 = ((double)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_23 = (__pyx_t_21 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_23 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_diff) lastprivate(__pyx_v_f) lastprivate(__pyx_v_grad) lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_score_i) lastprivate(__pyx_v_score_j) lastprivate(__pyx_v_t_count) lastprivate(__pyx_v_z) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_23; __pyx_t_22++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_diff = ((double)__PYX_NAN()); + __pyx_v_f = ((int)0xbad0bad0); + __pyx_v_grad = ((double)__PYX_NAN()); + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_score_i = ((double)__PYX_NAN()); + __pyx_v_score_j = ((double)__PYX_NAN()); + __pyx_v_t_count = ((int)0xbad0bad0); + __pyx_v_z = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":325 + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + * i = earlier_indices[idx] # <<<<<<<<<<<<<< + * j = later_indices[idx] + * k = aspect_indices[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i = (*((short *) ( /* dim=0 */ (__pyx_v_earlier_indices.data + __pyx_t_24 * __pyx_v_earlier_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":326 + * for idx in prange(pair_counts.shape[0]): + * i = earlier_indices[idx] + * j = later_indices[idx] # <<<<<<<<<<<<<< + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_j = (*((short *) ( /* dim=0 */ (__pyx_v_later_indices.data + __pyx_t_24 * __pyx_v_later_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":327 + * i = earlier_indices[idx] + * j = later_indices[idx] + * k = aspect_indices[idx] # <<<<<<<<<<<<<< + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_k = (*((short *) ( /* dim=0 */ (__pyx_v_aspect_indices.data + __pyx_t_24 * __pyx_v_aspect_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":328 + * j = later_indices[idx] + * k = aspect_indices[idx] + * t_count = pair_counts[idx] # <<<<<<<<<<<<<< + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_t_count = (*((short *) ( /* dim=0 */ (__pyx_v_pair_counts.data + __pyx_t_24 * __pyx_v_pair_counts.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":329 + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: # <<<<<<<<<<<<<< + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + */ + __pyx_t_25 = ((__pyx_v_t_count < __pyx_v_min_pair_freq) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L19_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_t_count > __pyx_v_max_pair_freq) != 0); + __pyx_t_4 = __pyx_t_25; + __pyx_L19_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":330 + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue # <<<<<<<<<<<<<< + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + */ + goto __pyx_L14_continue; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":329 + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: # <<<<<<<<<<<<<< + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":331 + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) # <<<<<<<<<<<<<< + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = 0; + __pyx_t_27 = __pyx_v_k; + __pyx_t_28 = 0; + __pyx_v_score_i = __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_24 * __pyx_v_U2.strides[0]) ) + __pyx_t_26 * __pyx_v_U2.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_27 * __pyx_v_V.strides[0]) ) + __pyx_t_28 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":332 + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) # <<<<<<<<<<<<<< + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + */ + __pyx_t_28 = __pyx_v_j; + __pyx_t_27 = 0; + __pyx_t_26 = __pyx_v_k; + __pyx_t_24 = 0; + __pyx_v_score_j = __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_28 * __pyx_v_U2.strides[0]) ) + __pyx_t_27 * __pyx_v_U2.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_26 * __pyx_v_V.strides[0]) ) + __pyx_t_24 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":333 + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): # <<<<<<<<<<<<<< + * diff = score_j - score_i + * if not use_item_pair_popularity: + */ + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_FINER_MODEL) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_DOM_MODEL) != 0); + if (!__pyx_t_25) { + goto __pyx_L24_next_or; + } else { + } + __pyx_t_25 = ((__pyx_v_score_i < __pyx_v_score_j) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_L24_next_or:; + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_AROUND_MODEL) != 0); + if (__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_score_i > __pyx_v_score_j) != 0); + __pyx_t_4 = __pyx_t_25; + __pyx_L22_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":334 + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i # <<<<<<<<<<<<<< + * if not use_item_pair_popularity: + * t_count = 1 + */ + __pyx_v_diff = (__pyx_v_score_j - __pyx_v_score_i); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":335 + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + * if not use_item_pair_popularity: # <<<<<<<<<<<<<< + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + */ + __pyx_t_4 = ((!(__pyx_v_use_item_pair_popularity != 0)) != 0); + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":336 + * diff = score_j - score_i + * if not use_item_pair_popularity: + * t_count = 1 # <<<<<<<<<<<<<< + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + */ + __pyx_v_t_count = 1; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":335 + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + * if not use_item_pair_popularity: # <<<<<<<<<<<<<< + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":337 + * if not use_item_pair_popularity: + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) # <<<<<<<<<<<<<< + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: + */ + __pyx_t_5 = (1.0 + exp((-__pyx_v_diff))); + if (unlikely(__pyx_t_5 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 337, __pyx_L16_error) + } + __pyx_v_aspect_bpr_loss = (__pyx_v_aspect_bpr_loss - ((__pyx_v_lambda_d * (1.0 + log(__pyx_v_t_count))) * log((1.0 / __pyx_t_5)))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":338 + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) # <<<<<<<<<<<<<< + * if z < .5: + * correct += 1 + */ + __pyx_t_5 = (1.0 + exp(__pyx_v_diff)); + if (unlikely(__pyx_t_5 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 338, __pyx_L16_error) + } + __pyx_v_z = (1.0 / __pyx_t_5); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":339 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + */ + __pyx_t_4 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":340 + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: + * correct += 1 # <<<<<<<<<<<<<< + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): + */ + __pyx_v_correct = (__pyx_v_correct + 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":339 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":341 + * if z < .5: + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z # <<<<<<<<<<<<<< + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] + */ + __pyx_v_grad = ((__pyx_v_lambda_d * (1.0 + log(__pyx_v_t_count))) * __pyx_v_z); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":342 + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): # <<<<<<<<<<<<<< + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] + */ + __pyx_t_29 = __pyx_v_num_explicit_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_f = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":343 + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] # <<<<<<<<<<<<<< + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] + */ + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = __pyx_v_f; + __pyx_t_27 = __pyx_v_i; + __pyx_t_28 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (__pyx_v_grad * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_24 * __pyx_v_V.strides[0]) ) + __pyx_t_26 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":344 + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] # <<<<<<<<<<<<<< + * V_denominator[k, f] += grad * U2[i, f] + * V_numerator[k, f] += grad * U2[j, f] + */ + __pyx_t_26 = __pyx_v_k; + __pyx_t_24 = __pyx_v_f; + __pyx_t_28 = __pyx_v_j; + __pyx_t_27 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += (__pyx_v_grad * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_26 * __pyx_v_V.strides[0]) ) + __pyx_t_24 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":345 + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] # <<<<<<<<<<<<<< + * V_numerator[k, f] += grad * U2[j, f] + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = __pyx_v_f; + __pyx_t_27 = __pyx_v_k; + __pyx_t_28 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += (__pyx_v_grad * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_24 * __pyx_v_U2.strides[0]) ) + __pyx_t_26 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":346 + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] + * V_numerator[k, f] += grad * U2[j, f] # <<<<<<<<<<<<<< + * + * for idx in prange(A.shape[0]): + */ + __pyx_t_26 = __pyx_v_j; + __pyx_t_24 = __pyx_v_f; + __pyx_t_28 = __pyx_v_k; + __pyx_t_27 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += (__pyx_v_grad * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_26 * __pyx_v_U2.strides[0]) ) + __pyx_t_24 * __pyx_v_U2.strides[1]) )))); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":333 + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): # <<<<<<<<<<<<<< + * diff = score_j - score_i + * if not use_item_pair_popularity: + */ + } + goto __pyx_L32; + __pyx_L14_continue:; + goto __pyx_L32; + __pyx_L16_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L31; + __pyx_L31:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates12) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_aspect_bpr_loss; + __pyx_parallel_temp1 = __pyx_v_correct; + __pyx_parallel_temp2 = __pyx_v_diff; + __pyx_parallel_temp3 = __pyx_v_f; + __pyx_parallel_temp4 = __pyx_v_grad; + __pyx_parallel_temp5 = __pyx_v_i; + __pyx_parallel_temp6 = __pyx_v_idx; + __pyx_parallel_temp7 = __pyx_v_j; + __pyx_parallel_temp8 = __pyx_v_k; + __pyx_parallel_temp9 = __pyx_v_score_i; + __pyx_parallel_temp10 = __pyx_v_score_j; + __pyx_parallel_temp11 = __pyx_v_t_count; + __pyx_parallel_temp12 = __pyx_v_z; + } + __pyx_L32:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_aspect_bpr_loss = __pyx_parallel_temp0; + __pyx_v_correct = __pyx_parallel_temp1; + __pyx_v_diff = __pyx_parallel_temp2; + __pyx_v_f = __pyx_parallel_temp3; + __pyx_v_grad = __pyx_parallel_temp4; + __pyx_v_i = __pyx_parallel_temp5; + __pyx_v_idx = __pyx_parallel_temp6; + __pyx_v_j = __pyx_parallel_temp7; + __pyx_v_k = __pyx_parallel_temp8; + __pyx_v_score_i = __pyx_parallel_temp9; + __pyx_v_score_j = __pyx_parallel_temp10; + __pyx_v_t_count = __pyx_parallel_temp11; + __pyx_v_z = __pyx_parallel_temp12; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":348 + * V_numerator[k, f] += grad * U2[j, f] + * + * for idx in prange(A.shape[0]): # <<<<<<<<<<<<<< + * i = A_uids[idx] + * j = A_iids[idx] + */ + if (unlikely(!__pyx_v_A.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("A"); __PYX_ERR(0, 348, __pyx_L12_error) } + __pyx_t_23 = (__pyx_v_A.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_21 = (__pyx_t_23 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_21 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":349 + * + * for idx in prange(A.shape[0]): + * i = A_uids[idx] # <<<<<<<<<<<<<< + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i = (*((short *) ( /* dim=0 */ (__pyx_v_A_uids.data + __pyx_t_24 * __pyx_v_A_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":350 + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + * j = A_iids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_j = (*((short *) ( /* dim=0 */ (__pyx_v_A_iids.data + __pyx_t_24 * __pyx_v_A_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":351 + * i = A_uids[idx] + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ # <<<<<<<<<<<<<< + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = 0; + __pyx_t_27 = __pyx_v_j; + __pyx_t_28 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":352 + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) # <<<<<<<<<<<<<< + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = 0; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = 0; + __pyx_v_prediction = (__pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_24 * __pyx_v_U1.strides[0]) ) + __pyx_t_26 * __pyx_v_U1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_27 * __pyx_v_U2.strides[0]) ) + __pyx_t_28 * __pyx_v_U2.strides[1]) )))), 1) + __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_latent_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_32 * __pyx_v_H1.strides[0]) ) + __pyx_t_33 * __pyx_v_H1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_34 * __pyx_v_H2.strides[0]) ) + __pyx_t_35 * __pyx_v_H2.strides[1]) )))), 1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":353 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] # <<<<<<<<<<<<<< + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_35 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_A.data + __pyx_t_35 * __pyx_v_A.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":354 + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + * loss += (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_prediction - __pyx_v_score) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":355 + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] + */ + __pyx_t_29 = __pyx_v_num_explicit_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_k = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":356 + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] # <<<<<<<<<<<<<< + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_U1_numerator.diminfo[1].strides) += (__pyx_v_score * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":357 + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] # <<<<<<<<<<<<<< + * U2_numerator[j, k] += score * U1[i, k] + * U2_denominator[j, k] += prediction * U1[i, k] + */ + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":358 + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] # <<<<<<<<<<<<<< + * U2_denominator[j, k] += prediction * U1[i, k] + * + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += (__pyx_v_score * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_34 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":359 + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] + * U2_denominator[j, k] += prediction * U1[i, k] # <<<<<<<<<<<<<< + * + * for k in range(num_latent_factors): + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":361 + * U2_denominator[j, k] += prediction * U1[i, k] + * + * for k in range(num_latent_factors): # <<<<<<<<<<<<<< + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] + */ + __pyx_t_29 = __pyx_v_num_latent_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_k = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":362 + * + * for k in range(num_latent_factors): + * H1_numerator[i, k] += score * H2[j, k] # <<<<<<<<<<<<<< + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H1_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_H1_numerator.diminfo[1].strides) += (__pyx_v_score * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_35 * __pyx_v_H2.strides[0]) ) + __pyx_t_34 * __pyx_v_H2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":363 + * for k in range(num_latent_factors): + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] # <<<<<<<<<<<<<< + * H2_numerator[j, k] += score * H1[i, k] + * H2_denominator[j, k] += prediction * H1[i, k] + */ + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H1_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_34 * __pyx_v_H2.strides[0]) ) + __pyx_t_35 * __pyx_v_H2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":364 + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] # <<<<<<<<<<<<<< + * H2_denominator[j, k] += prediction * H1[i, k] + * + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H2_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_H2_numerator.diminfo[1].strides) += (__pyx_v_score * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_35 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":365 + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] + * H2_denominator[j, k] += prediction * H1[i, k] # <<<<<<<<<<<<<< + * + * for idx in prange(X.shape[0]): + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H2_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_34 * __pyx_v_H1.strides[0]) ) + __pyx_t_35 * __pyx_v_H1.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":367 + * H2_denominator[j, k] += prediction * H1[i, k] + * + * for idx in prange(X.shape[0]): # <<<<<<<<<<<<<< + * i = X_uids[idx] + * j = X_aids[idx] + */ + if (unlikely(!__pyx_v_X.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("X"); __PYX_ERR(0, 367, __pyx_L12_error) } + __pyx_t_21 = (__pyx_v_X.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_23 = (__pyx_t_21 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_23 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_23; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":368 + * + * for idx in prange(X.shape[0]): + * i = X_uids[idx] # <<<<<<<<<<<<<< + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + */ + __pyx_t_35 = __pyx_v_idx; + __pyx_v_i = (*((short *) ( /* dim=0 */ (__pyx_v_X_uids.data + __pyx_t_35 * __pyx_v_X_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":369 + * for idx in prange(X.shape[0]): + * i = X_uids[idx] + * j = X_aids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] + */ + __pyx_t_35 = __pyx_v_idx; + __pyx_v_j = (*((short *) ( /* dim=0 */ (__pyx_v_X_aids.data + __pyx_t_35 * __pyx_v_X_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":370 + * i = X_uids[idx] + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) # <<<<<<<<<<<<<< + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = 0; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = 0; + __pyx_v_prediction = __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_34 * __pyx_v_U1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_33 * __pyx_v_V.strides[0]) ) + __pyx_t_32 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":371 + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] # <<<<<<<<<<<<<< + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_32 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_X.data + __pyx_t_32 * __pyx_v_X.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":372 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_x * (__pyx_v_prediction - __pyx_v_score)) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":373 + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + */ + __pyx_t_29 = __pyx_v_num_explicit_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_k = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":374 + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] # <<<<<<<<<<<<<< + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_score) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_32 * __pyx_v_U1.strides[0]) ) + __pyx_t_33 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":375 + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] # <<<<<<<<<<<<<< + * U1_numerator[i, k] += lambda_x * score * V[j, k] + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_k; + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_prediction) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_33 * __pyx_v_U1.strides[0]) ) + __pyx_t_32 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":376 + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] # <<<<<<<<<<<<<< + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + * + */ + __pyx_t_32 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U1_numerator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_score) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_32 * __pyx_v_V.strides[0]) ) + __pyx_t_33 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":377 + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] # <<<<<<<<<<<<<< + * + * for idx in prange(Y.shape[0]): + */ + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_k; + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_prediction) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_33 * __pyx_v_V.strides[0]) ) + __pyx_t_32 * __pyx_v_V.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":379 + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + * + * for idx in prange(Y.shape[0]): # <<<<<<<<<<<<<< + * i = Y_iids[idx] + * j = Y_aids[idx] + */ + if (unlikely(!__pyx_v_Y.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("Y"); __PYX_ERR(0, 379, __pyx_L12_error) } + __pyx_t_23 = (__pyx_v_Y.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_21 = (__pyx_t_23 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_21 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":380 + * + * for idx in prange(Y.shape[0]): + * i = Y_iids[idx] # <<<<<<<<<<<<<< + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + */ + __pyx_t_32 = __pyx_v_idx; + __pyx_v_i = (*((short *) ( /* dim=0 */ (__pyx_v_Y_iids.data + __pyx_t_32 * __pyx_v_Y_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":381 + * for idx in prange(Y.shape[0]): + * i = Y_iids[idx] + * j = Y_aids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] + */ + __pyx_t_32 = __pyx_v_idx; + __pyx_v_j = (*((short *) ( /* dim=0 */ (__pyx_v_Y_aids.data + __pyx_t_32 * __pyx_v_Y_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":382 + * i = Y_iids[idx] + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) # <<<<<<<<<<<<<< + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = 0; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = 0; + __pyx_v_prediction = __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_32 * __pyx_v_U2.strides[0]) ) + __pyx_t_33 * __pyx_v_U2.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":383 + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] # <<<<<<<<<<<<<< + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_35 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_Y.data + __pyx_t_35 * __pyx_v_Y.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":384 + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_y * (__pyx_v_prediction - __pyx_v_score)) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":385 + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + */ + __pyx_t_29 = __pyx_v_num_explicit_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_k = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":386 + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] # <<<<<<<<<<<<<< + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_score) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":387 + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] # <<<<<<<<<<<<<< + * U2_numerator[i, k] += lambda_y * score * V[j, k] + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_prediction) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":388 + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] # <<<<<<<<<<<<<< + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] + * + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_score) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_34 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":389 + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] # <<<<<<<<<<<<<< + * + * # update V + */ + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_prediction) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":392 + * + * # update V + * for i in prange(num_aspects): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] + */ + __pyx_t_29 = __pyx_v_num_aspects; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + double __pyx_parallel_temp2 = ((double)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_31 = (__pyx_t_29 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_31 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_30 = 0; __pyx_t_30 < __pyx_t_31; __pyx_t_30++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_30); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":393 + * # update V + * for i in prange(num_aspects): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_explicit_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":394 + * for i in prange(num_aspects): + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] # <<<<<<<<<<<<<< + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_v * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_34 * __pyx_v_V.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_33 * __pyx_v_V.strides[0]) ) + __pyx_t_32 * __pyx_v_V.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":395 + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps # <<<<<<<<<<<<<< + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + * + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_28 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += (((((*((short *) ( /* dim=0 */ (__pyx_v_X_aspect_counts.data + __pyx_t_32 * __pyx_v_X_aspect_counts.strides[0]) ))) + (*((short *) ( /* dim=0 */ (__pyx_v_Y_aspect_counts.data + __pyx_t_33 * __pyx_v_Y_aspect_counts.strides[0]) )))) * __pyx_v_lambda_v) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":396 + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) # <<<<<<<<<<<<<< + * + * # update U1, H1 + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_V_numerator.diminfo[1].strides)); + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_V_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 396, __pyx_L61_error) + } + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_34 * __pyx_v_V.strides[1]) )) *= sqrt((__pyx_t_39 / __pyx_t_40)); + } + goto __pyx_L66; + __pyx_L61_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L65; + __pyx_L65:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates13) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L66:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":399 + * + * # update U1, H1 + * for i in prange(num_users): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] + */ + __pyx_t_31 = __pyx_v_num_users; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + double __pyx_parallel_temp2 = ((double)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_29 = (__pyx_t_31 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_29 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_30 = 0; __pyx_t_30 < __pyx_t_29; __pyx_t_30++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_30); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":400 + * # update U1, H1 + * for i in prange(num_users): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_explicit_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":401 + * for i in prange(num_users): + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] # <<<<<<<<<<<<<< + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_u * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_33 * __pyx_v_U1.strides[0]) ) + __pyx_t_32 * __pyx_v_U1.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":402 + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps # <<<<<<<<<<<<<< + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_27 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += (((((*((short *) ( /* dim=0 */ (__pyx_v_A_user_counts.data + __pyx_t_32 * __pyx_v_A_user_counts.strides[0]) ))) + (*((short *) ( /* dim=0 */ (__pyx_v_X_user_counts.data + __pyx_t_33 * __pyx_v_X_user_counts.strides[0]) )))) * __pyx_v_lambda_u) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_34 * __pyx_v_U1.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":403 + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) # <<<<<<<<<<<<<< + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U1_numerator.diminfo[1].strides)); + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U1_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_39 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 403, __pyx_L69_error) + } + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_39)); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":404 + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): # <<<<<<<<<<<<<< + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_latent_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":405 + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] # <<<<<<<<<<<<<< + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_h * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_35 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_33 * __pyx_v_H1.strides[0]) ) + __pyx_t_32 * __pyx_v_H1.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":406 + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps # <<<<<<<<<<<<<< + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + * + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_H1_denominator.diminfo[1].strides) += ((((*((short *) ( /* dim=0 */ (__pyx_v_A_user_counts.data + __pyx_t_32 * __pyx_v_A_user_counts.strides[0]) ))) * __pyx_v_lambda_h) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_33 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":407 + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) # <<<<<<<<<<<<<< + * + * # update U2, H2 + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H1_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H1_numerator.diminfo[1].strides)); + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H1_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 407, __pyx_L69_error) + } + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_34 * __pyx_v_H1.strides[0]) ) + __pyx_t_33 * __pyx_v_H1.strides[1]) )) *= sqrt((__pyx_t_39 / __pyx_t_40)); + } + goto __pyx_L76; + __pyx_L69_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L75; + __pyx_L75:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates14) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L76:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":410 + * + * # update U2, H2 + * for i in prange(num_items): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] + */ + __pyx_t_29 = __pyx_v_num_items; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + double __pyx_parallel_temp2 = ((double)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_31 = (__pyx_t_29 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_31 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_30 = 0; __pyx_t_30 < __pyx_t_31; __pyx_t_30++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_30); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":411 + * # update U2, H2 + * for i in prange(num_items): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_explicit_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":412 + * for i in prange(num_items): + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] # <<<<<<<<<<<<<< + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_32 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_u * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_33 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_32 * __pyx_v_U2.strides[0]) ) + __pyx_t_28 * __pyx_v_U2.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":413 + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps # <<<<<<<<<<<<<< + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): + */ + __pyx_t_28 = __pyx_v_i; + __pyx_t_32 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_35 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (((((*((short *) ( /* dim=0 */ (__pyx_v_A_item_counts.data + __pyx_t_28 * __pyx_v_A_item_counts.strides[0]) ))) + (*((short *) ( /* dim=0 */ (__pyx_v_Y_item_counts.data + __pyx_t_32 * __pyx_v_Y_item_counts.strides[0]) )))) * __pyx_v_lambda_u) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_33 * __pyx_v_U2.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":414 + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) # <<<<<<<<<<<<<< + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U2_numerator.diminfo[1].strides)); + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_39 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 414, __pyx_L79_error) + } + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_33 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_39)); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":415 + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): # <<<<<<<<<<<<<< + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_latent_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":416 + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] # <<<<<<<<<<<<<< + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_h * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_34 * __pyx_v_H2.strides[0]) ) + __pyx_t_33 * __pyx_v_H2.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_32 * __pyx_v_H2.strides[0]) ) + __pyx_t_28 * __pyx_v_H2.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":417 + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps # <<<<<<<<<<<<<< + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + */ + __pyx_t_28 = __pyx_v_i; + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_H2_denominator.diminfo[1].strides) += ((((*((short *) ( /* dim=0 */ (__pyx_v_A_item_counts.data + __pyx_t_28 * __pyx_v_A_item_counts.strides[0]) ))) * __pyx_v_lambda_h) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_32 * __pyx_v_H2.strides[0]) ) + __pyx_t_33 * __pyx_v_H2.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":418 + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H2_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_H2_numerator.diminfo[1].strides)); + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H2_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 418, __pyx_L79_error) + } + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_33 * __pyx_v_H2.strides[0]) ) + __pyx_t_32 * __pyx_v_H2.strides[1]) )) *= sqrt((__pyx_t_39 / __pyx_t_40)); + } + goto __pyx_L86; + __pyx_L79_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L85; + __pyx_L85:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates15) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L86:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + goto __pyx_L88; + __pyx_L12_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L88; + __pyx_L88:; + #ifdef _OPENMP + Py_END_ALLOW_THREADS + #else +{ +#ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #endif /* _OPENMP */ + /* Clean up any temporaries */ + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + #ifndef _OPENMP +} +#endif /* _OPENMP */ + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L8_error; + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":322 + * H2_denominator.fill(0) + * + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L9; + } + __pyx_L8_error: { + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L1_error; + } + __pyx_L9:; + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":420 + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 420, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 420, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":421 + * + * if self.verbose: + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) # <<<<<<<<<<<<<< + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): + */ + __pyx_t_1 = PyTuple_New(8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_21 = 0; + __pyx_t_41 = 127; + __Pyx_INCREF(__pyx_kp_u_iter); + __pyx_t_21 += 6; + __Pyx_GIVEREF(__pyx_kp_u_iter); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_kp_u_iter); + __pyx_t_3 = __Pyx_PyUnicode_From_int(__pyx_v_t, 0, ' ', 'd'); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_kp_u_loss); + __pyx_t_21 += 8; + __Pyx_GIVEREF(__pyx_kp_u_loss); + PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_kp_u_loss); + __pyx_t_3 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyObject_Format(__pyx_t_3, __pyx_kp_u_2f); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_41 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) > __pyx_t_41) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) : __pyx_t_41; + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 3, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_INCREF(__pyx_kp_u_aspect_bpr_loss); + __pyx_t_21 += 19; + __Pyx_GIVEREF(__pyx_kp_u_aspect_bpr_loss); + PyTuple_SET_ITEM(__pyx_t_1, 4, __pyx_kp_u_aspect_bpr_loss); + __pyx_t_6 = PyFloat_FromDouble(__pyx_v_aspect_bpr_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_3 = __Pyx_PyObject_Format(__pyx_t_6, __pyx_kp_u_2f); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_41 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) > __pyx_t_41) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) : __pyx_t_41; + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 5, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_kp_u_correct); + __pyx_t_21 += 11; + __Pyx_GIVEREF(__pyx_kp_u_correct); + PyTuple_SET_ITEM(__pyx_t_1, 6, __pyx_kp_u_correct); + __pyx_t_3 = __Pyx_PyUnicode_From_int(__pyx_v_correct, 0, ' ', 'd'); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 7, __pyx_t_3); + __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyUnicode_Join(__pyx_t_1, 8, __pyx_t_21, __pyx_t_41); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":420 + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":423 + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): # <<<<<<<<<<<<<< + * break + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_25 = (__pyx_t_1 != Py_None); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_42 = (__pyx_t_25 != 0); + if (__pyx_t_42) { + } else { + __pyx_t_4 = __pyx_t_42; + goto __pyx_L91_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stop); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + if (unlikely(__pyx_t_6 == Py_None)) { + PyErr_SetString(PyExc_TypeError, "argument after ** must be a mapping, not NoneType"); + __PYX_ERR(0, 423, __pyx_L1_error) + } + if (likely(PyDict_CheckExact(__pyx_t_6))) { + __pyx_t_3 = PyDict_Copy(__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } else { + __pyx_t_3 = PyObject_CallFunctionObjArgs((PyObject*)&PyDict_Type, __pyx_t_6, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_empty_tuple, __pyx_t_3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_42 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_42 < 0)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_4 = __pyx_t_42; + __pyx_L91_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":424 + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): + * break # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + goto __pyx_L4_break; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":423 + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): # <<<<<<<<<<<<<< + * break + * + */ + } + } + __pyx_L4_break:; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":426 + * break + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":427 + * + * if self.verbose: + * print('Optimization finished!') # <<<<<<<<<<<<<< + * + * @cython.boundscheck(False) + */ + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":426 + * break + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":261 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_efm(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, integral[:] A_user_counts, integral[:] A_item_counts, + * floating[:] X, integral[:] X_uids, integral[:] X_aids, integral[:] X_user_counts, integral[:] X_aspect_counts, + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer); + __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._fit_efm", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + goto __pyx_L2; + __pyx_L0:; + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer); + __pyx_L2:; + __Pyx_XDECREF((PyObject *)__pyx_v_U1_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_U1_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_U2_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_U2_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_V_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_V_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_H1_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_H1_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_H2_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_H2_denominator); + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_user_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_item_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_user_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aspect_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_item_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_aspect_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_earlier_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_later_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_aspect_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_pair_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_V, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H2, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_1_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_43_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_1_1__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_43_fit_efm = {"__pyx_fuse_1_1_fit_efm", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_1_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_43_fit_efm, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_10_fit_efm}; +static PyObject *__pyx_fuse_1_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_43_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + int __pyx_v_num_threads; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_user_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_item_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_user_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aspect_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_item_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_aspect_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_earlier_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_later_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_aspect_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_pair_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_V = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_fit_efm (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_num_threads,&__pyx_n_s_A,&__pyx_n_s_A_uids,&__pyx_n_s_A_iids,&__pyx_n_s_A_user_counts,&__pyx_n_s_A_item_counts,&__pyx_n_s_X,&__pyx_n_s_X_uids,&__pyx_n_s_X_aids,&__pyx_n_s_X_user_counts,&__pyx_n_s_X_aspect_counts,&__pyx_n_s_Y,&__pyx_n_s_Y_iids,&__pyx_n_s_Y_aids,&__pyx_n_s_Y_item_counts,&__pyx_n_s_Y_aspect_counts,&__pyx_n_s_earlier_indices,&__pyx_n_s_later_indices,&__pyx_n_s_aspect_indices,&__pyx_n_s_pair_counts,&__pyx_n_s_U1,&__pyx_n_s_U2,&__pyx_n_s_V,&__pyx_n_s_H1,&__pyx_n_s_H2,0}; + PyObject* values[26] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 1); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 2); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 3); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 4); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_user_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 5); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_item_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 6); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 7); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 8); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 9); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 10: + if (likely((values[10] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_user_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 10); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 11: + if (likely((values[11] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aspect_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 11); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 12: + if (likely((values[12] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 12); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 13: + if (likely((values[13] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 13); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 14: + if (likely((values[14] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 14); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 15: + if (likely((values[15] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_item_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 15); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 16: + if (likely((values[16] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_aspect_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 16); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 17: + if (likely((values[17] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_earlier_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 17); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 18: + if (likely((values[18] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_later_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 18); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 19: + if (likely((values[19] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_aspect_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 19); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 20: + if (likely((values[20] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pair_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 20); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 21: + if (likely((values[21] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 21); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 22: + if (likely((values[22] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 22); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 23: + if (likely((values[23] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_V)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 23); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 24: + if (likely((values[24] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 24); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 25: + if (likely((values[25] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 25); __PYX_ERR(0, 261, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_fit_efm") < 0)) __PYX_ERR(0, 261, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 26) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + } + __pyx_v_self = values[0]; + __pyx_v_num_threads = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_num_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[2], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[3], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_uids.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[4], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_iids.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_user_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[5], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_user_counts.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_item_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[6], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_item_counts.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_X = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[7], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_uids.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aids.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_user_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[10], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_user_counts.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_aspect_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[11], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aspect_counts.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_Y = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[12], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[13], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_iids.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[14], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_aids.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_item_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[15], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_item_counts.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_aspect_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[16], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_aspect_counts.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_earlier_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[17], PyBUF_WRITABLE); if (unlikely(!__pyx_v_earlier_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_later_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[18], PyBUF_WRITABLE); if (unlikely(!__pyx_v_later_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_aspect_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[19], PyBUF_WRITABLE); if (unlikely(!__pyx_v_aspect_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_pair_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[20], PyBUF_WRITABLE); if (unlikely(!__pyx_v_pair_counts.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_U1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[21], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U1.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_U2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[22], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U2.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_V = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[23], PyBUF_WRITABLE); if (unlikely(!__pyx_v_V.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_H1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[24], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H1.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_H2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[25], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H2.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._fit_efm", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_42_fit_efm(__pyx_self, __pyx_v_self, __pyx_v_num_threads, __pyx_v_A, __pyx_v_A_uids, __pyx_v_A_iids, __pyx_v_A_user_counts, __pyx_v_A_item_counts, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_aids, __pyx_v_X_user_counts, __pyx_v_X_aspect_counts, __pyx_v_Y, __pyx_v_Y_iids, __pyx_v_Y_aids, __pyx_v_Y_item_counts, __pyx_v_Y_aspect_counts, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_v_U1, __pyx_v_U2, __pyx_v_V, __pyx_v_H1, __pyx_v_H2); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_42_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_A_user_counts, __Pyx_memviewslice __pyx_v_A_item_counts, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_X_user_counts, __Pyx_memviewslice __pyx_v_X_aspect_counts, __Pyx_memviewslice __pyx_v_Y, __Pyx_memviewslice __pyx_v_Y_iids, __Pyx_memviewslice __pyx_v_Y_aids, __Pyx_memviewslice __pyx_v_Y_item_counts, __Pyx_memviewslice __pyx_v_Y_aspect_counts, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2) { + int __pyx_v_model_type; + int __pyx_v_FINER_MODEL; + int __pyx_v_DOM_MODEL; + int __pyx_v_AROUND_MODEL; + int __pyx_v_num_users; + int __pyx_v_num_items; + int __pyx_v_num_aspects; + int __pyx_v_num_explicit_factors; + int __pyx_v_num_latent_factors; + int __pyx_v_min_pair_freq; + int __pyx_v_max_pair_freq; + int __pyx_v_use_item_pair_popularity; + double __pyx_v_lambda_x; + double __pyx_v_lambda_y; + double __pyx_v_lambda_u; + double __pyx_v_lambda_h; + double __pyx_v_lambda_v; + double __pyx_v_lambda_d; + double __pyx_v_prediction; + double __pyx_v_score; + double __pyx_v_score_i; + double __pyx_v_score_j; + double __pyx_v_loss; + double __pyx_v_aspect_bpr_loss; + double __pyx_v_diff; + double __pyx_v_grad; + double __pyx_v_z; + double __pyx_v_eps; + int __pyx_v_t_count; + int __pyx_v_correct; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_k; + int __pyx_v_f; + int __pyx_v_idx; + int __pyx_v_t; + PyArrayObject *__pyx_v_U1_numerator = 0; + PyArrayObject *__pyx_v_U1_denominator = 0; + PyArrayObject *__pyx_v_U2_numerator = 0; + PyArrayObject *__pyx_v_U2_denominator = 0; + PyArrayObject *__pyx_v_V_numerator = 0; + PyArrayObject *__pyx_v_V_denominator = 0; + PyArrayObject *__pyx_v_H1_numerator = 0; + PyArrayObject *__pyx_v_H1_denominator = 0; + PyArrayObject *__pyx_v_H2_numerator = 0; + PyArrayObject *__pyx_v_H2_denominator = 0; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H1_denominator; + __Pyx_Buffer __pyx_pybuffer_H1_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H1_numerator; + __Pyx_Buffer __pyx_pybuffer_H1_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H2_denominator; + __Pyx_Buffer __pyx_pybuffer_H2_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H2_numerator; + __Pyx_Buffer __pyx_pybuffer_H2_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U1_denominator; + __Pyx_Buffer __pyx_pybuffer_U1_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U1_numerator; + __Pyx_Buffer __pyx_pybuffer_U1_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U2_denominator; + __Pyx_Buffer __pyx_pybuffer_U2_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U2_numerator; + __Pyx_Buffer __pyx_pybuffer_U2_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_V_denominator; + __Pyx_Buffer __pyx_pybuffer_V_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_V_numerator; + __Pyx_Buffer __pyx_pybuffer_V_numerator; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + double __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + PyArrayObject *__pyx_t_9 = NULL; + PyArrayObject *__pyx_t_10 = NULL; + PyArrayObject *__pyx_t_11 = NULL; + PyArrayObject *__pyx_t_12 = NULL; + PyArrayObject *__pyx_t_13 = NULL; + PyArrayObject *__pyx_t_14 = NULL; + PyArrayObject *__pyx_t_15 = NULL; + PyArrayObject *__pyx_t_16 = NULL; + PyArrayObject *__pyx_t_17 = NULL; + PyArrayObject *__pyx_t_18 = NULL; + long __pyx_t_19; + long __pyx_t_20; + Py_ssize_t __pyx_t_21; + Py_ssize_t __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + int __pyx_t_25; + Py_ssize_t __pyx_t_26; + Py_ssize_t __pyx_t_27; + Py_ssize_t __pyx_t_28; + int __pyx_t_29; + int __pyx_t_30; + int __pyx_t_31; + Py_ssize_t __pyx_t_32; + Py_ssize_t __pyx_t_33; + Py_ssize_t __pyx_t_34; + Py_ssize_t __pyx_t_35; + int __pyx_t_36; + int __pyx_t_37; + int __pyx_t_38; + __pyx_t_5numpy_float32_t __pyx_t_39; + __pyx_t_5numpy_float32_t __pyx_t_40; + Py_UCS4 __pyx_t_41; + int __pyx_t_42; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_1_1_fit_efm", 0); + __pyx_pybuffer_U1_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_U1_numerator.refcount = 0; + __pyx_pybuffernd_U1_numerator.data = NULL; + __pyx_pybuffernd_U1_numerator.rcbuffer = &__pyx_pybuffer_U1_numerator; + __pyx_pybuffer_U1_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_U1_denominator.refcount = 0; + __pyx_pybuffernd_U1_denominator.data = NULL; + __pyx_pybuffernd_U1_denominator.rcbuffer = &__pyx_pybuffer_U1_denominator; + __pyx_pybuffer_U2_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_U2_numerator.refcount = 0; + __pyx_pybuffernd_U2_numerator.data = NULL; + __pyx_pybuffernd_U2_numerator.rcbuffer = &__pyx_pybuffer_U2_numerator; + __pyx_pybuffer_U2_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_U2_denominator.refcount = 0; + __pyx_pybuffernd_U2_denominator.data = NULL; + __pyx_pybuffernd_U2_denominator.rcbuffer = &__pyx_pybuffer_U2_denominator; + __pyx_pybuffer_V_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_V_numerator.refcount = 0; + __pyx_pybuffernd_V_numerator.data = NULL; + __pyx_pybuffernd_V_numerator.rcbuffer = &__pyx_pybuffer_V_numerator; + __pyx_pybuffer_V_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_V_denominator.refcount = 0; + __pyx_pybuffernd_V_denominator.data = NULL; + __pyx_pybuffernd_V_denominator.rcbuffer = &__pyx_pybuffer_V_denominator; + __pyx_pybuffer_H1_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_H1_numerator.refcount = 0; + __pyx_pybuffernd_H1_numerator.data = NULL; + __pyx_pybuffernd_H1_numerator.rcbuffer = &__pyx_pybuffer_H1_numerator; + __pyx_pybuffer_H1_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_H1_denominator.refcount = 0; + __pyx_pybuffernd_H1_denominator.data = NULL; + __pyx_pybuffernd_H1_denominator.rcbuffer = &__pyx_pybuffer_H1_denominator; + __pyx_pybuffer_H2_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_H2_numerator.refcount = 0; + __pyx_pybuffernd_H2_numerator.data = NULL; + __pyx_pybuffernd_H2_numerator.rcbuffer = &__pyx_pybuffer_H2_numerator; + __pyx_pybuffer_H2_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_H2_denominator.refcount = 0; + __pyx_pybuffernd_H2_denominator.data = NULL; + __pyx_pybuffernd_H2_denominator.rcbuffer = &__pyx_pybuffer_H2_denominator; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":270 + * """ + * cdef: + * int model_type = self.model_type # <<<<<<<<<<<<<< + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_model_type); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_model_type = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":271 + * cdef: + * int model_type = self.model_type + * int FINER_MODEL = MODEL_TYPES["Finer"] # <<<<<<<<<<<<<< + * int DOM_MODEL = MODEL_TYPES["Dominant"] + * int AROUND_MODEL = MODEL_TYPES["Around"] + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_n_u_Finer); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_FINER_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":272 + * int model_type = self.model_type + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] # <<<<<<<<<<<<<< + * int AROUND_MODEL = MODEL_TYPES["Around"] + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_3, __pyx_n_u_Dominant); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_DOM_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":273 + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] + * int AROUND_MODEL = MODEL_TYPES["Around"] # <<<<<<<<<<<<<< + * + * int num_users = self.train_set.num_users + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_n_u_Around); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_AROUND_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":275 + * int AROUND_MODEL = MODEL_TYPES["Around"] + * + * int num_users = self.train_set.num_users # <<<<<<<<<<<<<< + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_num_users); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_users = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":276 + * + * int num_users = self.train_set.num_users + * int num_items = self.train_set.num_items # <<<<<<<<<<<<<< + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_items = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":277 + * int num_users = self.train_set.num_users + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects # <<<<<<<<<<<<<< + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_aspects = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":278 + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors # <<<<<<<<<<<<<< + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 278, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 278, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_explicit_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":279 + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors # <<<<<<<<<<<<<< + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 279, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 279, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_latent_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":280 + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq # <<<<<<<<<<<<<< + * int max_pair_freq = self.max_pair_freq + * bint use_item_pair_popularity = self.use_item_pair_popularity + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_pair_freq); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_min_pair_freq = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":281 + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq # <<<<<<<<<<<<<< + * bint use_item_pair_popularity = self.use_item_pair_popularity + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_pair_freq); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_max_pair_freq = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":282 + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq + * bint use_item_pair_popularity = self.use_item_pair_popularity # <<<<<<<<<<<<<< + * + * floating lambda_x = self.lambda_x + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_use_item_pair_popularity); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_use_item_pair_popularity = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":284 + * bint use_item_pair_popularity = self.use_item_pair_popularity + * + * floating lambda_x = self.lambda_x # <<<<<<<<<<<<<< + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_x); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_x = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":285 + * + * floating lambda_x = self.lambda_x + * floating lambda_y = self.lambda_y # <<<<<<<<<<<<<< + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_y); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_y = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":286 + * floating lambda_x = self.lambda_x + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u # <<<<<<<<<<<<<< + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_u); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_u = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":287 + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h # <<<<<<<<<<<<<< + * floating lambda_v = self.lambda_v + * floating lambda_d = self.lambda_d + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_h); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_h = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":288 + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v # <<<<<<<<<<<<<< + * floating lambda_d = self.lambda_d + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_v); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_v = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":289 + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v + * floating lambda_d = self.lambda_d # <<<<<<<<<<<<<< + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_d = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":291 + * floating lambda_d = self.lambda_d + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 # <<<<<<<<<<<<<< + * int t_count = 1, correct = 0 + * int i, j, k, f, idx, t + */ + __pyx_v_eps = 1e-9; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":292 + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + * int t_count = 1, correct = 0 # <<<<<<<<<<<<<< + * int i, j, k, f, idx, t + * + */ + __pyx_v_t_count = 1; + __pyx_v_correct = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":295 + * int i, j, k, f, idx, t + * + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 295, __pyx_L1_error) + __pyx_t_9 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_9, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U1_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 295, __pyx_L1_error) + } else {__pyx_pybuffernd_U1_numerator.diminfo[0].strides = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U1_numerator.diminfo[0].shape = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U1_numerator.diminfo[1].strides = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U1_numerator.diminfo[1].shape = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_9 = 0; + __pyx_v_U1_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":296 + * + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 296, __pyx_L1_error) + __pyx_t_10 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_10, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U1_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 296, __pyx_L1_error) + } else {__pyx_pybuffernd_U1_denominator.diminfo[0].strides = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U1_denominator.diminfo[0].shape = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U1_denominator.diminfo[1].strides = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U1_denominator.diminfo[1].shape = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_10 = 0; + __pyx_v_U1_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":297 + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 297, __pyx_L1_error) + __pyx_t_11 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_11, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U2_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 297, __pyx_L1_error) + } else {__pyx_pybuffernd_U2_numerator.diminfo[0].strides = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U2_numerator.diminfo[0].shape = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U2_numerator.diminfo[1].strides = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U2_numerator.diminfo[1].shape = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_11 = 0; + __pyx_v_U2_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":298 + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 298, __pyx_L1_error) + __pyx_t_12 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_12, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U2_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 298, __pyx_L1_error) + } else {__pyx_pybuffernd_U2_denominator.diminfo[0].strides = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U2_denominator.diminfo[0].shape = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U2_denominator.diminfo[1].strides = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U2_denominator.diminfo[1].shape = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_12 = 0; + __pyx_v_U2_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":299 + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 299, __pyx_L1_error) + __pyx_t_13 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_13, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_V_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 299, __pyx_L1_error) + } else {__pyx_pybuffernd_V_numerator.diminfo[0].strides = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_V_numerator.diminfo[0].shape = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_V_numerator.diminfo[1].strides = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_V_numerator.diminfo[1].shape = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_13 = 0; + __pyx_v_V_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":300 + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_aspects); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 300, __pyx_L1_error) + __pyx_t_14 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_14, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_V_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 300, __pyx_L1_error) + } else {__pyx_pybuffernd_V_denominator.diminfo[0].strides = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_V_denominator.diminfo[0].shape = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_V_denominator.diminfo[1].strides = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_V_denominator.diminfo[1].shape = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_14 = 0; + __pyx_v_V_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":301 + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 301, __pyx_L1_error) + __pyx_t_15 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_15, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H1_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 301, __pyx_L1_error) + } else {__pyx_pybuffernd_H1_numerator.diminfo[0].strides = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H1_numerator.diminfo[0].shape = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H1_numerator.diminfo[1].strides = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H1_numerator.diminfo[1].shape = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_15 = 0; + __pyx_v_H1_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":302 + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 302, __pyx_L1_error) + __pyx_t_16 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_16, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H1_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 302, __pyx_L1_error) + } else {__pyx_pybuffernd_H1_denominator.diminfo[0].strides = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H1_denominator.diminfo[0].shape = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H1_denominator.diminfo[1].strides = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H1_denominator.diminfo[1].shape = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_16 = 0; + __pyx_v_H1_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":303 + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 303, __pyx_L1_error) + __pyx_t_17 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_17, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H2_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 303, __pyx_L1_error) + } else {__pyx_pybuffernd_H2_numerator.diminfo[0].strides = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H2_numerator.diminfo[0].shape = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H2_numerator.diminfo[1].strides = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H2_numerator.diminfo[1].shape = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_17 = 0; + __pyx_v_H2_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":304 + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * + * for t in range(1, self.max_iter + 1): + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 304, __pyx_L1_error) + __pyx_t_18 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_18, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H2_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 304, __pyx_L1_error) + } else {__pyx_pybuffernd_H2_denominator.diminfo[0].strides = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H2_denominator.diminfo[0].shape = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H2_denominator.diminfo[1].strides = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H2_denominator.diminfo[1].shape = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_18 = 0; + __pyx_v_H2_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":306 + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * + * for t in range(1, self.max_iter + 1): # <<<<<<<<<<<<<< + * + * loss = 0. + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_iter); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_t_3, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_19 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_19 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_20 = __pyx_t_19; + for (__pyx_t_2 = 1; __pyx_t_2 < __pyx_t_20; __pyx_t_2+=1) { + __pyx_v_t = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":308 + * for t in range(1, self.max_iter + 1): + * + * loss = 0. # <<<<<<<<<<<<<< + * aspect_bpr_loss = 0. + * correct = 0 + */ + __pyx_v_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":309 + * + * loss = 0. + * aspect_bpr_loss = 0. # <<<<<<<<<<<<<< + * correct = 0 + * U1_numerator.fill(0) + */ + __pyx_v_aspect_bpr_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":310 + * loss = 0. + * aspect_bpr_loss = 0. + * correct = 0 # <<<<<<<<<<<<<< + * U1_numerator.fill(0) + * U1_denominator.fill(0) + */ + __pyx_v_correct = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":311 + * aspect_bpr_loss = 0. + * correct = 0 + * U1_numerator.fill(0) # <<<<<<<<<<<<<< + * U1_denominator.fill(0) + * U2_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U1_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 311, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 311, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":312 + * correct = 0 + * U1_numerator.fill(0) + * U1_denominator.fill(0) # <<<<<<<<<<<<<< + * U2_numerator.fill(0) + * U2_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U1_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 312, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 312, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":313 + * U1_numerator.fill(0) + * U1_denominator.fill(0) + * U2_numerator.fill(0) # <<<<<<<<<<<<<< + * U2_denominator.fill(0) + * V_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U2_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 313, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 313, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":314 + * U1_denominator.fill(0) + * U2_numerator.fill(0) + * U2_denominator.fill(0) # <<<<<<<<<<<<<< + * V_numerator.fill(0) + * V_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U2_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 314, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 314, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":315 + * U2_numerator.fill(0) + * U2_denominator.fill(0) + * V_numerator.fill(0) # <<<<<<<<<<<<<< + * V_denominator.fill(0) + * H1_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_V_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 315, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 315, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":316 + * U2_denominator.fill(0) + * V_numerator.fill(0) + * V_denominator.fill(0) # <<<<<<<<<<<<<< + * H1_numerator.fill(0) + * H1_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_V_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 316, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 316, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":317 + * V_numerator.fill(0) + * V_denominator.fill(0) + * H1_numerator.fill(0) # <<<<<<<<<<<<<< + * H1_denominator.fill(0) + * H2_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H1_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":318 + * V_denominator.fill(0) + * H1_numerator.fill(0) + * H1_denominator.fill(0) # <<<<<<<<<<<<<< + * H2_numerator.fill(0) + * H2_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H1_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":319 + * H1_numerator.fill(0) + * H1_denominator.fill(0) + * H2_numerator.fill(0) # <<<<<<<<<<<<<< + * H2_denominator.fill(0) + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H2_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":320 + * H1_denominator.fill(0) + * H2_numerator.fill(0) + * H2_denominator.fill(0) # <<<<<<<<<<<<<< + * + * with nogil, parallel(num_threads=num_threads): + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H2_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":322 + * H2_denominator.fill(0) + * + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel reduction(-:__pyx_v_aspect_bpr_loss) reduction(+:__pyx_v_correct) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) private(__pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_27, __pyx_t_28, __pyx_t_29, __pyx_t_30, __pyx_t_31, __pyx_t_32, __pyx_t_33, __pyx_t_34, __pyx_t_35, __pyx_t_36, __pyx_t_37, __pyx_t_38, __pyx_t_39, __pyx_t_4, __pyx_t_40, __pyx_t_5) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_num_threads) + #endif /* _OPENMP */ + { + #ifdef _OPENMP + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + Py_BEGIN_ALLOW_THREADS + #endif /* _OPENMP */ + + /* "cornac/models/comparer/recom_comparer_obj.pyx":324 + * with nogil, parallel(num_threads=num_threads): + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): # <<<<<<<<<<<<<< + * i = earlier_indices[idx] + * j = later_indices[idx] + */ + if (unlikely(!__pyx_v_pair_counts.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("pair_counts"); __PYX_ERR(0, 324, __pyx_L12_error) } + __pyx_t_21 = (__pyx_v_pair_counts.shape[0]); + if ((1 == 0)) abort(); + { + double __pyx_parallel_temp0 = ((double)__PYX_NAN()); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + double __pyx_parallel_temp2 = ((double)__PYX_NAN()); + int __pyx_parallel_temp3 = ((int)0xbad0bad0); + double __pyx_parallel_temp4 = ((double)__PYX_NAN()); + int __pyx_parallel_temp5 = ((int)0xbad0bad0); + int __pyx_parallel_temp6 = ((int)0xbad0bad0); + int __pyx_parallel_temp7 = ((int)0xbad0bad0); + int __pyx_parallel_temp8 = ((int)0xbad0bad0); + double __pyx_parallel_temp9 = ((double)__PYX_NAN()); + double __pyx_parallel_temp10 = ((double)__PYX_NAN()); + int __pyx_parallel_temp11 = ((int)0xbad0bad0); + double __pyx_parallel_temp12 = ((double)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_23 = (__pyx_t_21 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_23 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_diff) lastprivate(__pyx_v_f) lastprivate(__pyx_v_grad) lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_score_i) lastprivate(__pyx_v_score_j) lastprivate(__pyx_v_t_count) lastprivate(__pyx_v_z) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_23; __pyx_t_22++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_diff = ((double)__PYX_NAN()); + __pyx_v_f = ((int)0xbad0bad0); + __pyx_v_grad = ((double)__PYX_NAN()); + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_score_i = ((double)__PYX_NAN()); + __pyx_v_score_j = ((double)__PYX_NAN()); + __pyx_v_t_count = ((int)0xbad0bad0); + __pyx_v_z = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":325 + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + * i = earlier_indices[idx] # <<<<<<<<<<<<<< + * j = later_indices[idx] + * k = aspect_indices[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i = (*((int *) ( /* dim=0 */ (__pyx_v_earlier_indices.data + __pyx_t_24 * __pyx_v_earlier_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":326 + * for idx in prange(pair_counts.shape[0]): + * i = earlier_indices[idx] + * j = later_indices[idx] # <<<<<<<<<<<<<< + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_j = (*((int *) ( /* dim=0 */ (__pyx_v_later_indices.data + __pyx_t_24 * __pyx_v_later_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":327 + * i = earlier_indices[idx] + * j = later_indices[idx] + * k = aspect_indices[idx] # <<<<<<<<<<<<<< + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_k = (*((int *) ( /* dim=0 */ (__pyx_v_aspect_indices.data + __pyx_t_24 * __pyx_v_aspect_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":328 + * j = later_indices[idx] + * k = aspect_indices[idx] + * t_count = pair_counts[idx] # <<<<<<<<<<<<<< + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_t_count = (*((int *) ( /* dim=0 */ (__pyx_v_pair_counts.data + __pyx_t_24 * __pyx_v_pair_counts.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":329 + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: # <<<<<<<<<<<<<< + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + */ + __pyx_t_25 = ((__pyx_v_t_count < __pyx_v_min_pair_freq) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L19_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_t_count > __pyx_v_max_pair_freq) != 0); + __pyx_t_4 = __pyx_t_25; + __pyx_L19_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":330 + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue # <<<<<<<<<<<<<< + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + */ + goto __pyx_L14_continue; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":329 + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: # <<<<<<<<<<<<<< + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":331 + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) # <<<<<<<<<<<<<< + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = 0; + __pyx_t_27 = __pyx_v_k; + __pyx_t_28 = 0; + __pyx_v_score_i = __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_24 * __pyx_v_U2.strides[0]) ) + __pyx_t_26 * __pyx_v_U2.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_27 * __pyx_v_V.strides[0]) ) + __pyx_t_28 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":332 + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) # <<<<<<<<<<<<<< + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + */ + __pyx_t_28 = __pyx_v_j; + __pyx_t_27 = 0; + __pyx_t_26 = __pyx_v_k; + __pyx_t_24 = 0; + __pyx_v_score_j = __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_28 * __pyx_v_U2.strides[0]) ) + __pyx_t_27 * __pyx_v_U2.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_26 * __pyx_v_V.strides[0]) ) + __pyx_t_24 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":333 + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): # <<<<<<<<<<<<<< + * diff = score_j - score_i + * if not use_item_pair_popularity: + */ + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_FINER_MODEL) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_DOM_MODEL) != 0); + if (!__pyx_t_25) { + goto __pyx_L24_next_or; + } else { + } + __pyx_t_25 = ((__pyx_v_score_i < __pyx_v_score_j) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_L24_next_or:; + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_AROUND_MODEL) != 0); + if (__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_score_i > __pyx_v_score_j) != 0); + __pyx_t_4 = __pyx_t_25; + __pyx_L22_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":334 + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i # <<<<<<<<<<<<<< + * if not use_item_pair_popularity: + * t_count = 1 + */ + __pyx_v_diff = (__pyx_v_score_j - __pyx_v_score_i); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":335 + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + * if not use_item_pair_popularity: # <<<<<<<<<<<<<< + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + */ + __pyx_t_4 = ((!(__pyx_v_use_item_pair_popularity != 0)) != 0); + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":336 + * diff = score_j - score_i + * if not use_item_pair_popularity: + * t_count = 1 # <<<<<<<<<<<<<< + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + */ + __pyx_v_t_count = 1; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":335 + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + * if not use_item_pair_popularity: # <<<<<<<<<<<<<< + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":337 + * if not use_item_pair_popularity: + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) # <<<<<<<<<<<<<< + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: + */ + __pyx_t_5 = (1.0 + exp((-__pyx_v_diff))); + if (unlikely(__pyx_t_5 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 337, __pyx_L16_error) + } + __pyx_v_aspect_bpr_loss = (__pyx_v_aspect_bpr_loss - ((__pyx_v_lambda_d * (1.0 + log(__pyx_v_t_count))) * log((1.0 / __pyx_t_5)))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":338 + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) # <<<<<<<<<<<<<< + * if z < .5: + * correct += 1 + */ + __pyx_t_5 = (1.0 + exp(__pyx_v_diff)); + if (unlikely(__pyx_t_5 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 338, __pyx_L16_error) + } + __pyx_v_z = (1.0 / __pyx_t_5); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":339 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + */ + __pyx_t_4 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":340 + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: + * correct += 1 # <<<<<<<<<<<<<< + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): + */ + __pyx_v_correct = (__pyx_v_correct + 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":339 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":341 + * if z < .5: + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z # <<<<<<<<<<<<<< + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] + */ + __pyx_v_grad = ((__pyx_v_lambda_d * (1.0 + log(__pyx_v_t_count))) * __pyx_v_z); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":342 + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): # <<<<<<<<<<<<<< + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] + */ + __pyx_t_29 = __pyx_v_num_explicit_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_f = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":343 + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] # <<<<<<<<<<<<<< + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] + */ + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = __pyx_v_f; + __pyx_t_27 = __pyx_v_i; + __pyx_t_28 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (__pyx_v_grad * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_24 * __pyx_v_V.strides[0]) ) + __pyx_t_26 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":344 + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] # <<<<<<<<<<<<<< + * V_denominator[k, f] += grad * U2[i, f] + * V_numerator[k, f] += grad * U2[j, f] + */ + __pyx_t_26 = __pyx_v_k; + __pyx_t_24 = __pyx_v_f; + __pyx_t_28 = __pyx_v_j; + __pyx_t_27 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += (__pyx_v_grad * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_26 * __pyx_v_V.strides[0]) ) + __pyx_t_24 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":345 + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] # <<<<<<<<<<<<<< + * V_numerator[k, f] += grad * U2[j, f] + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = __pyx_v_f; + __pyx_t_27 = __pyx_v_k; + __pyx_t_28 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += (__pyx_v_grad * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_24 * __pyx_v_U2.strides[0]) ) + __pyx_t_26 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":346 + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] + * V_numerator[k, f] += grad * U2[j, f] # <<<<<<<<<<<<<< + * + * for idx in prange(A.shape[0]): + */ + __pyx_t_26 = __pyx_v_j; + __pyx_t_24 = __pyx_v_f; + __pyx_t_28 = __pyx_v_k; + __pyx_t_27 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += (__pyx_v_grad * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_26 * __pyx_v_U2.strides[0]) ) + __pyx_t_24 * __pyx_v_U2.strides[1]) )))); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":333 + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): # <<<<<<<<<<<<<< + * diff = score_j - score_i + * if not use_item_pair_popularity: + */ + } + goto __pyx_L32; + __pyx_L14_continue:; + goto __pyx_L32; + __pyx_L16_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L31; + __pyx_L31:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates16) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_aspect_bpr_loss; + __pyx_parallel_temp1 = __pyx_v_correct; + __pyx_parallel_temp2 = __pyx_v_diff; + __pyx_parallel_temp3 = __pyx_v_f; + __pyx_parallel_temp4 = __pyx_v_grad; + __pyx_parallel_temp5 = __pyx_v_i; + __pyx_parallel_temp6 = __pyx_v_idx; + __pyx_parallel_temp7 = __pyx_v_j; + __pyx_parallel_temp8 = __pyx_v_k; + __pyx_parallel_temp9 = __pyx_v_score_i; + __pyx_parallel_temp10 = __pyx_v_score_j; + __pyx_parallel_temp11 = __pyx_v_t_count; + __pyx_parallel_temp12 = __pyx_v_z; + } + __pyx_L32:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_aspect_bpr_loss = __pyx_parallel_temp0; + __pyx_v_correct = __pyx_parallel_temp1; + __pyx_v_diff = __pyx_parallel_temp2; + __pyx_v_f = __pyx_parallel_temp3; + __pyx_v_grad = __pyx_parallel_temp4; + __pyx_v_i = __pyx_parallel_temp5; + __pyx_v_idx = __pyx_parallel_temp6; + __pyx_v_j = __pyx_parallel_temp7; + __pyx_v_k = __pyx_parallel_temp8; + __pyx_v_score_i = __pyx_parallel_temp9; + __pyx_v_score_j = __pyx_parallel_temp10; + __pyx_v_t_count = __pyx_parallel_temp11; + __pyx_v_z = __pyx_parallel_temp12; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":348 + * V_numerator[k, f] += grad * U2[j, f] + * + * for idx in prange(A.shape[0]): # <<<<<<<<<<<<<< + * i = A_uids[idx] + * j = A_iids[idx] + */ + if (unlikely(!__pyx_v_A.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("A"); __PYX_ERR(0, 348, __pyx_L12_error) } + __pyx_t_23 = (__pyx_v_A.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_21 = (__pyx_t_23 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_21 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":349 + * + * for idx in prange(A.shape[0]): + * i = A_uids[idx] # <<<<<<<<<<<<<< + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i = (*((int *) ( /* dim=0 */ (__pyx_v_A_uids.data + __pyx_t_24 * __pyx_v_A_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":350 + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + * j = A_iids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_j = (*((int *) ( /* dim=0 */ (__pyx_v_A_iids.data + __pyx_t_24 * __pyx_v_A_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":351 + * i = A_uids[idx] + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ # <<<<<<<<<<<<<< + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = 0; + __pyx_t_27 = __pyx_v_j; + __pyx_t_28 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":352 + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) # <<<<<<<<<<<<<< + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = 0; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = 0; + __pyx_v_prediction = (__pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_24 * __pyx_v_U1.strides[0]) ) + __pyx_t_26 * __pyx_v_U1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_27 * __pyx_v_U2.strides[0]) ) + __pyx_t_28 * __pyx_v_U2.strides[1]) )))), 1) + __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_latent_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_32 * __pyx_v_H1.strides[0]) ) + __pyx_t_33 * __pyx_v_H1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_34 * __pyx_v_H2.strides[0]) ) + __pyx_t_35 * __pyx_v_H2.strides[1]) )))), 1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":353 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] # <<<<<<<<<<<<<< + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_35 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_A.data + __pyx_t_35 * __pyx_v_A.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":354 + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + * loss += (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_prediction - __pyx_v_score) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":355 + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] + */ + __pyx_t_29 = __pyx_v_num_explicit_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_k = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":356 + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] # <<<<<<<<<<<<<< + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_U1_numerator.diminfo[1].strides) += (__pyx_v_score * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":357 + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] # <<<<<<<<<<<<<< + * U2_numerator[j, k] += score * U1[i, k] + * U2_denominator[j, k] += prediction * U1[i, k] + */ + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":358 + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] # <<<<<<<<<<<<<< + * U2_denominator[j, k] += prediction * U1[i, k] + * + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += (__pyx_v_score * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_34 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":359 + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] + * U2_denominator[j, k] += prediction * U1[i, k] # <<<<<<<<<<<<<< + * + * for k in range(num_latent_factors): + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":361 + * U2_denominator[j, k] += prediction * U1[i, k] + * + * for k in range(num_latent_factors): # <<<<<<<<<<<<<< + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] + */ + __pyx_t_29 = __pyx_v_num_latent_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_k = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":362 + * + * for k in range(num_latent_factors): + * H1_numerator[i, k] += score * H2[j, k] # <<<<<<<<<<<<<< + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H1_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_H1_numerator.diminfo[1].strides) += (__pyx_v_score * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_35 * __pyx_v_H2.strides[0]) ) + __pyx_t_34 * __pyx_v_H2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":363 + * for k in range(num_latent_factors): + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] # <<<<<<<<<<<<<< + * H2_numerator[j, k] += score * H1[i, k] + * H2_denominator[j, k] += prediction * H1[i, k] + */ + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H1_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_34 * __pyx_v_H2.strides[0]) ) + __pyx_t_35 * __pyx_v_H2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":364 + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] # <<<<<<<<<<<<<< + * H2_denominator[j, k] += prediction * H1[i, k] + * + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H2_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_H2_numerator.diminfo[1].strides) += (__pyx_v_score * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_35 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":365 + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] + * H2_denominator[j, k] += prediction * H1[i, k] # <<<<<<<<<<<<<< + * + * for idx in prange(X.shape[0]): + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H2_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_34 * __pyx_v_H1.strides[0]) ) + __pyx_t_35 * __pyx_v_H1.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":367 + * H2_denominator[j, k] += prediction * H1[i, k] + * + * for idx in prange(X.shape[0]): # <<<<<<<<<<<<<< + * i = X_uids[idx] + * j = X_aids[idx] + */ + if (unlikely(!__pyx_v_X.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("X"); __PYX_ERR(0, 367, __pyx_L12_error) } + __pyx_t_21 = (__pyx_v_X.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_23 = (__pyx_t_21 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_23 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_23; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":368 + * + * for idx in prange(X.shape[0]): + * i = X_uids[idx] # <<<<<<<<<<<<<< + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + */ + __pyx_t_35 = __pyx_v_idx; + __pyx_v_i = (*((int *) ( /* dim=0 */ (__pyx_v_X_uids.data + __pyx_t_35 * __pyx_v_X_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":369 + * for idx in prange(X.shape[0]): + * i = X_uids[idx] + * j = X_aids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] + */ + __pyx_t_35 = __pyx_v_idx; + __pyx_v_j = (*((int *) ( /* dim=0 */ (__pyx_v_X_aids.data + __pyx_t_35 * __pyx_v_X_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":370 + * i = X_uids[idx] + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) # <<<<<<<<<<<<<< + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = 0; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = 0; + __pyx_v_prediction = __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_34 * __pyx_v_U1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_33 * __pyx_v_V.strides[0]) ) + __pyx_t_32 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":371 + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] # <<<<<<<<<<<<<< + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_32 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_X.data + __pyx_t_32 * __pyx_v_X.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":372 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_x * (__pyx_v_prediction - __pyx_v_score)) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":373 + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + */ + __pyx_t_29 = __pyx_v_num_explicit_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_k = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":374 + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] # <<<<<<<<<<<<<< + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_score) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_32 * __pyx_v_U1.strides[0]) ) + __pyx_t_33 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":375 + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] # <<<<<<<<<<<<<< + * U1_numerator[i, k] += lambda_x * score * V[j, k] + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_k; + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_prediction) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_33 * __pyx_v_U1.strides[0]) ) + __pyx_t_32 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":376 + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] # <<<<<<<<<<<<<< + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + * + */ + __pyx_t_32 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U1_numerator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_score) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_32 * __pyx_v_V.strides[0]) ) + __pyx_t_33 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":377 + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] # <<<<<<<<<<<<<< + * + * for idx in prange(Y.shape[0]): + */ + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_k; + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_prediction) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_33 * __pyx_v_V.strides[0]) ) + __pyx_t_32 * __pyx_v_V.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":379 + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + * + * for idx in prange(Y.shape[0]): # <<<<<<<<<<<<<< + * i = Y_iids[idx] + * j = Y_aids[idx] + */ + if (unlikely(!__pyx_v_Y.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("Y"); __PYX_ERR(0, 379, __pyx_L12_error) } + __pyx_t_23 = (__pyx_v_Y.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_21 = (__pyx_t_23 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_21 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":380 + * + * for idx in prange(Y.shape[0]): + * i = Y_iids[idx] # <<<<<<<<<<<<<< + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + */ + __pyx_t_32 = __pyx_v_idx; + __pyx_v_i = (*((int *) ( /* dim=0 */ (__pyx_v_Y_iids.data + __pyx_t_32 * __pyx_v_Y_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":381 + * for idx in prange(Y.shape[0]): + * i = Y_iids[idx] + * j = Y_aids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] + */ + __pyx_t_32 = __pyx_v_idx; + __pyx_v_j = (*((int *) ( /* dim=0 */ (__pyx_v_Y_aids.data + __pyx_t_32 * __pyx_v_Y_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":382 + * i = Y_iids[idx] + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) # <<<<<<<<<<<<<< + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = 0; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = 0; + __pyx_v_prediction = __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_32 * __pyx_v_U2.strides[0]) ) + __pyx_t_33 * __pyx_v_U2.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":383 + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] # <<<<<<<<<<<<<< + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_35 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_Y.data + __pyx_t_35 * __pyx_v_Y.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":384 + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_y * (__pyx_v_prediction - __pyx_v_score)) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":385 + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + */ + __pyx_t_29 = __pyx_v_num_explicit_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_k = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":386 + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] # <<<<<<<<<<<<<< + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_score) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":387 + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] # <<<<<<<<<<<<<< + * U2_numerator[i, k] += lambda_y * score * V[j, k] + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_prediction) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":388 + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] # <<<<<<<<<<<<<< + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] + * + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_score) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_34 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":389 + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] # <<<<<<<<<<<<<< + * + * # update V + */ + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_prediction) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":392 + * + * # update V + * for i in prange(num_aspects): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] + */ + __pyx_t_29 = __pyx_v_num_aspects; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + double __pyx_parallel_temp2 = ((double)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_31 = (__pyx_t_29 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_31 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_30 = 0; __pyx_t_30 < __pyx_t_31; __pyx_t_30++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_30); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":393 + * # update V + * for i in prange(num_aspects): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_explicit_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":394 + * for i in prange(num_aspects): + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] # <<<<<<<<<<<<<< + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_v * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_34 * __pyx_v_V.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_33 * __pyx_v_V.strides[0]) ) + __pyx_t_32 * __pyx_v_V.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":395 + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps # <<<<<<<<<<<<<< + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + * + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_28 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += (((((*((int *) ( /* dim=0 */ (__pyx_v_X_aspect_counts.data + __pyx_t_32 * __pyx_v_X_aspect_counts.strides[0]) ))) + (*((int *) ( /* dim=0 */ (__pyx_v_Y_aspect_counts.data + __pyx_t_33 * __pyx_v_Y_aspect_counts.strides[0]) )))) * __pyx_v_lambda_v) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":396 + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) # <<<<<<<<<<<<<< + * + * # update U1, H1 + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_V_numerator.diminfo[1].strides)); + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_V_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 396, __pyx_L61_error) + } + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_34 * __pyx_v_V.strides[1]) )) *= sqrt((__pyx_t_39 / __pyx_t_40)); + } + goto __pyx_L66; + __pyx_L61_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L65; + __pyx_L65:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates17) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L66:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":399 + * + * # update U1, H1 + * for i in prange(num_users): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] + */ + __pyx_t_31 = __pyx_v_num_users; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + double __pyx_parallel_temp2 = ((double)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_29 = (__pyx_t_31 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_29 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_30 = 0; __pyx_t_30 < __pyx_t_29; __pyx_t_30++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_30); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":400 + * # update U1, H1 + * for i in prange(num_users): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_explicit_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":401 + * for i in prange(num_users): + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] # <<<<<<<<<<<<<< + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_u * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_33 * __pyx_v_U1.strides[0]) ) + __pyx_t_32 * __pyx_v_U1.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":402 + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps # <<<<<<<<<<<<<< + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_27 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += (((((*((int *) ( /* dim=0 */ (__pyx_v_A_user_counts.data + __pyx_t_32 * __pyx_v_A_user_counts.strides[0]) ))) + (*((int *) ( /* dim=0 */ (__pyx_v_X_user_counts.data + __pyx_t_33 * __pyx_v_X_user_counts.strides[0]) )))) * __pyx_v_lambda_u) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_34 * __pyx_v_U1.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":403 + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) # <<<<<<<<<<<<<< + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U1_numerator.diminfo[1].strides)); + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U1_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_39 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 403, __pyx_L69_error) + } + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_39)); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":404 + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): # <<<<<<<<<<<<<< + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_latent_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":405 + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] # <<<<<<<<<<<<<< + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_h * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_35 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_33 * __pyx_v_H1.strides[0]) ) + __pyx_t_32 * __pyx_v_H1.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":406 + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps # <<<<<<<<<<<<<< + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + * + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_H1_denominator.diminfo[1].strides) += ((((*((int *) ( /* dim=0 */ (__pyx_v_A_user_counts.data + __pyx_t_32 * __pyx_v_A_user_counts.strides[0]) ))) * __pyx_v_lambda_h) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_33 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":407 + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) # <<<<<<<<<<<<<< + * + * # update U2, H2 + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H1_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H1_numerator.diminfo[1].strides)); + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H1_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 407, __pyx_L69_error) + } + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_34 * __pyx_v_H1.strides[0]) ) + __pyx_t_33 * __pyx_v_H1.strides[1]) )) *= sqrt((__pyx_t_39 / __pyx_t_40)); + } + goto __pyx_L76; + __pyx_L69_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L75; + __pyx_L75:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates18) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L76:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":410 + * + * # update U2, H2 + * for i in prange(num_items): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] + */ + __pyx_t_29 = __pyx_v_num_items; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + double __pyx_parallel_temp2 = ((double)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_31 = (__pyx_t_29 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_31 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_30 = 0; __pyx_t_30 < __pyx_t_31; __pyx_t_30++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_30); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":411 + * # update U2, H2 + * for i in prange(num_items): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_explicit_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":412 + * for i in prange(num_items): + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] # <<<<<<<<<<<<<< + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_32 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_u * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_33 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_32 * __pyx_v_U2.strides[0]) ) + __pyx_t_28 * __pyx_v_U2.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":413 + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps # <<<<<<<<<<<<<< + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): + */ + __pyx_t_28 = __pyx_v_i; + __pyx_t_32 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_35 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (((((*((int *) ( /* dim=0 */ (__pyx_v_A_item_counts.data + __pyx_t_28 * __pyx_v_A_item_counts.strides[0]) ))) + (*((int *) ( /* dim=0 */ (__pyx_v_Y_item_counts.data + __pyx_t_32 * __pyx_v_Y_item_counts.strides[0]) )))) * __pyx_v_lambda_u) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_33 * __pyx_v_U2.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":414 + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) # <<<<<<<<<<<<<< + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U2_numerator.diminfo[1].strides)); + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_39 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 414, __pyx_L79_error) + } + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_33 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_39)); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":415 + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): # <<<<<<<<<<<<<< + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_latent_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":416 + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] # <<<<<<<<<<<<<< + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_h * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_34 * __pyx_v_H2.strides[0]) ) + __pyx_t_33 * __pyx_v_H2.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_32 * __pyx_v_H2.strides[0]) ) + __pyx_t_28 * __pyx_v_H2.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":417 + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps # <<<<<<<<<<<<<< + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + */ + __pyx_t_28 = __pyx_v_i; + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_H2_denominator.diminfo[1].strides) += ((((*((int *) ( /* dim=0 */ (__pyx_v_A_item_counts.data + __pyx_t_28 * __pyx_v_A_item_counts.strides[0]) ))) * __pyx_v_lambda_h) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_32 * __pyx_v_H2.strides[0]) ) + __pyx_t_33 * __pyx_v_H2.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":418 + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H2_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_H2_numerator.diminfo[1].strides)); + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H2_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 418, __pyx_L79_error) + } + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_33 * __pyx_v_H2.strides[0]) ) + __pyx_t_32 * __pyx_v_H2.strides[1]) )) *= sqrt((__pyx_t_39 / __pyx_t_40)); + } + goto __pyx_L86; + __pyx_L79_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L85; + __pyx_L85:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates19) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L86:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + goto __pyx_L88; + __pyx_L12_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L88; + __pyx_L88:; + #ifdef _OPENMP + Py_END_ALLOW_THREADS + #else +{ +#ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #endif /* _OPENMP */ + /* Clean up any temporaries */ + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + #ifndef _OPENMP +} +#endif /* _OPENMP */ + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L8_error; + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":322 + * H2_denominator.fill(0) + * + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L9; + } + __pyx_L8_error: { + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L1_error; + } + __pyx_L9:; + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":420 + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 420, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 420, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":421 + * + * if self.verbose: + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) # <<<<<<<<<<<<<< + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): + */ + __pyx_t_1 = PyTuple_New(8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_21 = 0; + __pyx_t_41 = 127; + __Pyx_INCREF(__pyx_kp_u_iter); + __pyx_t_21 += 6; + __Pyx_GIVEREF(__pyx_kp_u_iter); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_kp_u_iter); + __pyx_t_3 = __Pyx_PyUnicode_From_int(__pyx_v_t, 0, ' ', 'd'); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_kp_u_loss); + __pyx_t_21 += 8; + __Pyx_GIVEREF(__pyx_kp_u_loss); + PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_kp_u_loss); + __pyx_t_3 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyObject_Format(__pyx_t_3, __pyx_kp_u_2f); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_41 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) > __pyx_t_41) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) : __pyx_t_41; + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 3, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_INCREF(__pyx_kp_u_aspect_bpr_loss); + __pyx_t_21 += 19; + __Pyx_GIVEREF(__pyx_kp_u_aspect_bpr_loss); + PyTuple_SET_ITEM(__pyx_t_1, 4, __pyx_kp_u_aspect_bpr_loss); + __pyx_t_6 = PyFloat_FromDouble(__pyx_v_aspect_bpr_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_3 = __Pyx_PyObject_Format(__pyx_t_6, __pyx_kp_u_2f); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_41 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) > __pyx_t_41) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) : __pyx_t_41; + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 5, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_kp_u_correct); + __pyx_t_21 += 11; + __Pyx_GIVEREF(__pyx_kp_u_correct); + PyTuple_SET_ITEM(__pyx_t_1, 6, __pyx_kp_u_correct); + __pyx_t_3 = __Pyx_PyUnicode_From_int(__pyx_v_correct, 0, ' ', 'd'); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 7, __pyx_t_3); + __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyUnicode_Join(__pyx_t_1, 8, __pyx_t_21, __pyx_t_41); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":420 + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":423 + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): # <<<<<<<<<<<<<< + * break + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_25 = (__pyx_t_1 != Py_None); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_42 = (__pyx_t_25 != 0); + if (__pyx_t_42) { + } else { + __pyx_t_4 = __pyx_t_42; + goto __pyx_L91_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stop); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + if (unlikely(__pyx_t_6 == Py_None)) { + PyErr_SetString(PyExc_TypeError, "argument after ** must be a mapping, not NoneType"); + __PYX_ERR(0, 423, __pyx_L1_error) + } + if (likely(PyDict_CheckExact(__pyx_t_6))) { + __pyx_t_3 = PyDict_Copy(__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } else { + __pyx_t_3 = PyObject_CallFunctionObjArgs((PyObject*)&PyDict_Type, __pyx_t_6, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_empty_tuple, __pyx_t_3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_42 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_42 < 0)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_4 = __pyx_t_42; + __pyx_L91_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":424 + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): + * break # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + goto __pyx_L4_break; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":423 + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): # <<<<<<<<<<<<<< + * break + * + */ + } + } + __pyx_L4_break:; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":426 + * break + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":427 + * + * if self.verbose: + * print('Optimization finished!') # <<<<<<<<<<<<<< + * + * @cython.boundscheck(False) + */ + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":426 + * break + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":261 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_efm(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, integral[:] A_user_counts, integral[:] A_item_counts, + * floating[:] X, integral[:] X_uids, integral[:] X_aids, integral[:] X_user_counts, integral[:] X_aspect_counts, + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer); + __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._fit_efm", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + goto __pyx_L2; + __pyx_L0:; + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer); + __pyx_L2:; + __Pyx_XDECREF((PyObject *)__pyx_v_U1_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_U1_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_U2_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_U2_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_V_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_V_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_H1_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_H1_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_H2_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_H2_denominator); + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_user_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_item_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_user_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aspect_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_item_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_aspect_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_earlier_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_later_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_aspect_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_pair_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_V, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H2, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_1_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_45_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_1_2__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_45_fit_efm = {"__pyx_fuse_1_2_fit_efm", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_1_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_45_fit_efm, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_10_fit_efm}; +static PyObject *__pyx_fuse_1_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_45_fit_efm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + int __pyx_v_num_threads; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_user_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_item_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_user_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aspect_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_item_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Y_aspect_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_earlier_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_later_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_aspect_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_pair_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_V = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_fit_efm (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_num_threads,&__pyx_n_s_A,&__pyx_n_s_A_uids,&__pyx_n_s_A_iids,&__pyx_n_s_A_user_counts,&__pyx_n_s_A_item_counts,&__pyx_n_s_X,&__pyx_n_s_X_uids,&__pyx_n_s_X_aids,&__pyx_n_s_X_user_counts,&__pyx_n_s_X_aspect_counts,&__pyx_n_s_Y,&__pyx_n_s_Y_iids,&__pyx_n_s_Y_aids,&__pyx_n_s_Y_item_counts,&__pyx_n_s_Y_aspect_counts,&__pyx_n_s_earlier_indices,&__pyx_n_s_later_indices,&__pyx_n_s_aspect_indices,&__pyx_n_s_pair_counts,&__pyx_n_s_U1,&__pyx_n_s_U2,&__pyx_n_s_V,&__pyx_n_s_H1,&__pyx_n_s_H2,0}; + PyObject* values[26] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 1); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 2); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 3); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 4); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_user_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 5); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_item_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 6); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 7); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 8); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 9); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 10: + if (likely((values[10] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_user_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 10); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 11: + if (likely((values[11] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aspect_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 11); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 12: + if (likely((values[12] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 12); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 13: + if (likely((values[13] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 13); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 14: + if (likely((values[14] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 14); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 15: + if (likely((values[15] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_item_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 15); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 16: + if (likely((values[16] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y_aspect_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 16); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 17: + if (likely((values[17] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_earlier_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 17); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 18: + if (likely((values[18] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_later_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 18); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 19: + if (likely((values[19] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_aspect_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 19); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 20: + if (likely((values[20] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pair_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 20); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 21: + if (likely((values[21] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 21); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 22: + if (likely((values[22] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 22); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 23: + if (likely((values[23] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_V)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 23); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 24: + if (likely((values[24] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 24); __PYX_ERR(0, 261, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 25: + if (likely((values[25] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, 25); __PYX_ERR(0, 261, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_fit_efm") < 0)) __PYX_ERR(0, 261, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 26) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + } + __pyx_v_self = values[0]; + __pyx_v_num_threads = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_num_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[2], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[3], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_uids.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[4], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_iids.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_user_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[5], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_user_counts.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_A_item_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[6], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_item_counts.memview)) __PYX_ERR(0, 262, __pyx_L3_error) + __pyx_v_X = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[7], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_uids.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aids.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_user_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[10], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_user_counts.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_X_aspect_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[11], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aspect_counts.memview)) __PYX_ERR(0, 263, __pyx_L3_error) + __pyx_v_Y = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[12], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[13], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_iids.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[14], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_aids.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_item_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[15], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_item_counts.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_Y_aspect_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[16], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Y_aspect_counts.memview)) __PYX_ERR(0, 264, __pyx_L3_error) + __pyx_v_earlier_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[17], PyBUF_WRITABLE); if (unlikely(!__pyx_v_earlier_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_later_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[18], PyBUF_WRITABLE); if (unlikely(!__pyx_v_later_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_aspect_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[19], PyBUF_WRITABLE); if (unlikely(!__pyx_v_aspect_indices.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_pair_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[20], PyBUF_WRITABLE); if (unlikely(!__pyx_v_pair_counts.memview)) __PYX_ERR(0, 265, __pyx_L3_error) + __pyx_v_U1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[21], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U1.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_U2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[22], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U2.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_V = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[23], PyBUF_WRITABLE); if (unlikely(!__pyx_v_V.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_H1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[24], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H1.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + __pyx_v_H2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[25], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H2.memview)) __PYX_ERR(0, 266, __pyx_L3_error) + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_fit_efm", 1, 26, 26, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 261, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._fit_efm", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_44_fit_efm(__pyx_self, __pyx_v_self, __pyx_v_num_threads, __pyx_v_A, __pyx_v_A_uids, __pyx_v_A_iids, __pyx_v_A_user_counts, __pyx_v_A_item_counts, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_aids, __pyx_v_X_user_counts, __pyx_v_X_aspect_counts, __pyx_v_Y, __pyx_v_Y_iids, __pyx_v_Y_aids, __pyx_v_Y_item_counts, __pyx_v_Y_aspect_counts, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_v_U1, __pyx_v_U2, __pyx_v_V, __pyx_v_H1, __pyx_v_H2); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_44_fit_efm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_A_user_counts, __Pyx_memviewslice __pyx_v_A_item_counts, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_X_user_counts, __Pyx_memviewslice __pyx_v_X_aspect_counts, __Pyx_memviewslice __pyx_v_Y, __Pyx_memviewslice __pyx_v_Y_iids, __Pyx_memviewslice __pyx_v_Y_aids, __Pyx_memviewslice __pyx_v_Y_item_counts, __Pyx_memviewslice __pyx_v_Y_aspect_counts, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2) { + int __pyx_v_model_type; + int __pyx_v_FINER_MODEL; + int __pyx_v_DOM_MODEL; + int __pyx_v_AROUND_MODEL; + int __pyx_v_num_users; + int __pyx_v_num_items; + int __pyx_v_num_aspects; + int __pyx_v_num_explicit_factors; + int __pyx_v_num_latent_factors; + int __pyx_v_min_pair_freq; + int __pyx_v_max_pair_freq; + int __pyx_v_use_item_pair_popularity; + double __pyx_v_lambda_x; + double __pyx_v_lambda_y; + double __pyx_v_lambda_u; + double __pyx_v_lambda_h; + double __pyx_v_lambda_v; + double __pyx_v_lambda_d; + double __pyx_v_prediction; + double __pyx_v_score; + double __pyx_v_score_i; + double __pyx_v_score_j; + double __pyx_v_loss; + double __pyx_v_aspect_bpr_loss; + double __pyx_v_diff; + double __pyx_v_grad; + double __pyx_v_z; + double __pyx_v_eps; + int __pyx_v_t_count; + int __pyx_v_correct; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_k; + int __pyx_v_f; + int __pyx_v_idx; + int __pyx_v_t; + PyArrayObject *__pyx_v_U1_numerator = 0; + PyArrayObject *__pyx_v_U1_denominator = 0; + PyArrayObject *__pyx_v_U2_numerator = 0; + PyArrayObject *__pyx_v_U2_denominator = 0; + PyArrayObject *__pyx_v_V_numerator = 0; + PyArrayObject *__pyx_v_V_denominator = 0; + PyArrayObject *__pyx_v_H1_numerator = 0; + PyArrayObject *__pyx_v_H1_denominator = 0; + PyArrayObject *__pyx_v_H2_numerator = 0; + PyArrayObject *__pyx_v_H2_denominator = 0; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H1_denominator; + __Pyx_Buffer __pyx_pybuffer_H1_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H1_numerator; + __Pyx_Buffer __pyx_pybuffer_H1_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H2_denominator; + __Pyx_Buffer __pyx_pybuffer_H2_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_H2_numerator; + __Pyx_Buffer __pyx_pybuffer_H2_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U1_denominator; + __Pyx_Buffer __pyx_pybuffer_U1_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U1_numerator; + __Pyx_Buffer __pyx_pybuffer_U1_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U2_denominator; + __Pyx_Buffer __pyx_pybuffer_U2_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_U2_numerator; + __Pyx_Buffer __pyx_pybuffer_U2_numerator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_V_denominator; + __Pyx_Buffer __pyx_pybuffer_V_denominator; + __Pyx_LocalBuf_ND __pyx_pybuffernd_V_numerator; + __Pyx_Buffer __pyx_pybuffer_V_numerator; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + double __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + PyArrayObject *__pyx_t_9 = NULL; + PyArrayObject *__pyx_t_10 = NULL; + PyArrayObject *__pyx_t_11 = NULL; + PyArrayObject *__pyx_t_12 = NULL; + PyArrayObject *__pyx_t_13 = NULL; + PyArrayObject *__pyx_t_14 = NULL; + PyArrayObject *__pyx_t_15 = NULL; + PyArrayObject *__pyx_t_16 = NULL; + PyArrayObject *__pyx_t_17 = NULL; + PyArrayObject *__pyx_t_18 = NULL; + long __pyx_t_19; + long __pyx_t_20; + Py_ssize_t __pyx_t_21; + Py_ssize_t __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + int __pyx_t_25; + Py_ssize_t __pyx_t_26; + Py_ssize_t __pyx_t_27; + Py_ssize_t __pyx_t_28; + int __pyx_t_29; + int __pyx_t_30; + int __pyx_t_31; + Py_ssize_t __pyx_t_32; + Py_ssize_t __pyx_t_33; + Py_ssize_t __pyx_t_34; + Py_ssize_t __pyx_t_35; + int __pyx_t_36; + int __pyx_t_37; + int __pyx_t_38; + __pyx_t_5numpy_float32_t __pyx_t_39; + __pyx_t_5numpy_float32_t __pyx_t_40; + Py_UCS4 __pyx_t_41; + int __pyx_t_42; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_1_2_fit_efm", 0); + __pyx_pybuffer_U1_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_U1_numerator.refcount = 0; + __pyx_pybuffernd_U1_numerator.data = NULL; + __pyx_pybuffernd_U1_numerator.rcbuffer = &__pyx_pybuffer_U1_numerator; + __pyx_pybuffer_U1_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_U1_denominator.refcount = 0; + __pyx_pybuffernd_U1_denominator.data = NULL; + __pyx_pybuffernd_U1_denominator.rcbuffer = &__pyx_pybuffer_U1_denominator; + __pyx_pybuffer_U2_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_U2_numerator.refcount = 0; + __pyx_pybuffernd_U2_numerator.data = NULL; + __pyx_pybuffernd_U2_numerator.rcbuffer = &__pyx_pybuffer_U2_numerator; + __pyx_pybuffer_U2_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_U2_denominator.refcount = 0; + __pyx_pybuffernd_U2_denominator.data = NULL; + __pyx_pybuffernd_U2_denominator.rcbuffer = &__pyx_pybuffer_U2_denominator; + __pyx_pybuffer_V_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_V_numerator.refcount = 0; + __pyx_pybuffernd_V_numerator.data = NULL; + __pyx_pybuffernd_V_numerator.rcbuffer = &__pyx_pybuffer_V_numerator; + __pyx_pybuffer_V_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_V_denominator.refcount = 0; + __pyx_pybuffernd_V_denominator.data = NULL; + __pyx_pybuffernd_V_denominator.rcbuffer = &__pyx_pybuffer_V_denominator; + __pyx_pybuffer_H1_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_H1_numerator.refcount = 0; + __pyx_pybuffernd_H1_numerator.data = NULL; + __pyx_pybuffernd_H1_numerator.rcbuffer = &__pyx_pybuffer_H1_numerator; + __pyx_pybuffer_H1_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_H1_denominator.refcount = 0; + __pyx_pybuffernd_H1_denominator.data = NULL; + __pyx_pybuffernd_H1_denominator.rcbuffer = &__pyx_pybuffer_H1_denominator; + __pyx_pybuffer_H2_numerator.pybuffer.buf = NULL; + __pyx_pybuffer_H2_numerator.refcount = 0; + __pyx_pybuffernd_H2_numerator.data = NULL; + __pyx_pybuffernd_H2_numerator.rcbuffer = &__pyx_pybuffer_H2_numerator; + __pyx_pybuffer_H2_denominator.pybuffer.buf = NULL; + __pyx_pybuffer_H2_denominator.refcount = 0; + __pyx_pybuffernd_H2_denominator.data = NULL; + __pyx_pybuffernd_H2_denominator.rcbuffer = &__pyx_pybuffer_H2_denominator; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":270 + * """ + * cdef: + * int model_type = self.model_type # <<<<<<<<<<<<<< + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_model_type); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_model_type = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":271 + * cdef: + * int model_type = self.model_type + * int FINER_MODEL = MODEL_TYPES["Finer"] # <<<<<<<<<<<<<< + * int DOM_MODEL = MODEL_TYPES["Dominant"] + * int AROUND_MODEL = MODEL_TYPES["Around"] + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_n_u_Finer); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 271, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_FINER_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":272 + * int model_type = self.model_type + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] # <<<<<<<<<<<<<< + * int AROUND_MODEL = MODEL_TYPES["Around"] + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_3, __pyx_n_u_Dominant); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_DOM_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":273 + * int FINER_MODEL = MODEL_TYPES["Finer"] + * int DOM_MODEL = MODEL_TYPES["Dominant"] + * int AROUND_MODEL = MODEL_TYPES["Around"] # <<<<<<<<<<<<<< + * + * int num_users = self.train_set.num_users + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MODEL_TYPES); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_n_u_Around); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 273, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_AROUND_MODEL = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":275 + * int AROUND_MODEL = MODEL_TYPES["Around"] + * + * int num_users = self.train_set.num_users # <<<<<<<<<<<<<< + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_num_users); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 275, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_users = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":276 + * + * int num_users = self.train_set.num_users + * int num_items = self.train_set.num_items # <<<<<<<<<<<<<< + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 276, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_items = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":277 + * int num_users = self.train_set.num_users + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects # <<<<<<<<<<<<<< + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 277, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_aspects = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":278 + * int num_items = self.train_set.num_items + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors # <<<<<<<<<<<<<< + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 278, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 278, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_explicit_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":279 + * int num_aspects = self.train_set.sentiment.num_aspects + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors # <<<<<<<<<<<<<< + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 279, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 279, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_num_latent_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":280 + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq # <<<<<<<<<<<<<< + * int max_pair_freq = self.max_pair_freq + * bint use_item_pair_popularity = self.use_item_pair_popularity + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_pair_freq); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_min_pair_freq = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":281 + * int num_latent_factors = self.num_latent_factors + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq # <<<<<<<<<<<<<< + * bint use_item_pair_popularity = self.use_item_pair_popularity + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_pair_freq); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_max_pair_freq = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":282 + * int min_pair_freq = self.min_pair_freq + * int max_pair_freq = self.max_pair_freq + * bint use_item_pair_popularity = self.use_item_pair_popularity # <<<<<<<<<<<<<< + * + * floating lambda_x = self.lambda_x + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_use_item_pair_popularity); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_use_item_pair_popularity = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":284 + * bint use_item_pair_popularity = self.use_item_pair_popularity + * + * floating lambda_x = self.lambda_x # <<<<<<<<<<<<<< + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_x); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_x = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":285 + * + * floating lambda_x = self.lambda_x + * floating lambda_y = self.lambda_y # <<<<<<<<<<<<<< + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_y); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_y = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":286 + * floating lambda_x = self.lambda_x + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u # <<<<<<<<<<<<<< + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_u); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_u = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":287 + * floating lambda_y = self.lambda_y + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h # <<<<<<<<<<<<<< + * floating lambda_v = self.lambda_v + * floating lambda_d = self.lambda_d + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_h); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_h = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":288 + * floating lambda_u = self.lambda_u + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v # <<<<<<<<<<<<<< + * floating lambda_d = self.lambda_d + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_v); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_v = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":289 + * floating lambda_h = self.lambda_h + * floating lambda_v = self.lambda_v + * floating lambda_d = self.lambda_d # <<<<<<<<<<<<<< + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_lambda_d = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":291 + * floating lambda_d = self.lambda_d + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 # <<<<<<<<<<<<<< + * int t_count = 1, correct = 0 + * int i, j, k, f, idx, t + */ + __pyx_v_eps = 1e-9; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":292 + * + * floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + * int t_count = 1, correct = 0 # <<<<<<<<<<<<<< + * int i, j, k, f, idx, t + * + */ + __pyx_v_t_count = 1; + __pyx_v_correct = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":295 + * int i, j, k, f, idx, t + * + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 295, __pyx_L1_error) + __pyx_t_9 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_9, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U1_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 295, __pyx_L1_error) + } else {__pyx_pybuffernd_U1_numerator.diminfo[0].strides = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U1_numerator.diminfo[0].shape = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U1_numerator.diminfo[1].strides = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U1_numerator.diminfo[1].shape = __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_9 = 0; + __pyx_v_U1_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":296 + * + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 296, __pyx_L1_error) + __pyx_t_10 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_10, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U1_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 296, __pyx_L1_error) + } else {__pyx_pybuffernd_U1_denominator.diminfo[0].strides = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U1_denominator.diminfo[0].shape = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U1_denominator.diminfo[1].strides = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U1_denominator.diminfo[1].shape = __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_10 = 0; + __pyx_v_U1_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":297 + * np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 297, __pyx_L1_error) + __pyx_t_11 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_11, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U2_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 297, __pyx_L1_error) + } else {__pyx_pybuffernd_U2_numerator.diminfo[0].strides = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U2_numerator.diminfo[0].shape = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U2_numerator.diminfo[1].strides = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U2_numerator.diminfo[1].shape = __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_11 = 0; + __pyx_v_U2_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":298 + * np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 298, __pyx_L1_error) + __pyx_t_12 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_12, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_U2_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 298, __pyx_L1_error) + } else {__pyx_pybuffernd_U2_denominator.diminfo[0].strides = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_U2_denominator.diminfo[0].shape = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_U2_denominator.diminfo[1].strides = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_U2_denominator.diminfo[1].shape = __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_12 = 0; + __pyx_v_U2_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":299 + * np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 299, __pyx_L1_error) + __pyx_t_13 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_13, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_V_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 299, __pyx_L1_error) + } else {__pyx_pybuffernd_V_numerator.diminfo[0].strides = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_V_numerator.diminfo[0].shape = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_V_numerator.diminfo[1].strides = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_V_numerator.diminfo[1].shape = __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_13 = 0; + __pyx_v_V_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":300 + * np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_aspects); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_explicit_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 300, __pyx_L1_error) + __pyx_t_14 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_14, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_V_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 300, __pyx_L1_error) + } else {__pyx_pybuffernd_V_denominator.diminfo[0].strides = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_V_denominator.diminfo[0].shape = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_V_denominator.diminfo[1].strides = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_V_denominator.diminfo[1].shape = __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_14 = 0; + __pyx_v_V_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":301 + * np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 301, __pyx_L1_error) + __pyx_t_15 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_15, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H1_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 301, __pyx_L1_error) + } else {__pyx_pybuffernd_H1_numerator.diminfo[0].strides = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H1_numerator.diminfo[0].shape = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H1_numerator.diminfo[1].strides = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H1_numerator.diminfo[1].shape = __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_15 = 0; + __pyx_v_H1_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":302 + * np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_users); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 302, __pyx_L1_error) + __pyx_t_16 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_16, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H1_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 302, __pyx_L1_error) + } else {__pyx_pybuffernd_H1_denominator.diminfo[0].strides = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H1_denominator.diminfo[0].shape = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H1_denominator.diminfo[1].strides = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H1_denominator.diminfo[1].shape = __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_16 = 0; + __pyx_v_H1_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":303 + * np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_empty); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_6); + __pyx_t_3 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 303, __pyx_L1_error) + __pyx_t_17 = ((PyArrayObject *)__pyx_t_8); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer, (PyObject*)__pyx_t_17, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H2_numerator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 303, __pyx_L1_error) + } else {__pyx_pybuffernd_H2_numerator.diminfo[0].strides = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H2_numerator.diminfo[0].shape = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H2_numerator.diminfo[1].strides = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H2_numerator.diminfo[1].shape = __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_17 = 0; + __pyx_v_H2_numerator = ((PyArrayObject *)__pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":304 + * np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) # <<<<<<<<<<<<<< + * + * for t in range(1, self.max_iter + 1): + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_num_items); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_num_latent_factors); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_8 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_float32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 304, __pyx_L1_error) + __pyx_t_18 = ((PyArrayObject *)__pyx_t_3); + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer, (PyObject*)__pyx_t_18, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) { + __pyx_v_H2_denominator = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf = NULL; + __PYX_ERR(0, 304, __pyx_L1_error) + } else {__pyx_pybuffernd_H2_denominator.diminfo[0].strides = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H2_denominator.diminfo[0].shape = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_H2_denominator.diminfo[1].strides = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_H2_denominator.diminfo[1].shape = __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.shape[1]; + } + } + __pyx_t_18 = 0; + __pyx_v_H2_denominator = ((PyArrayObject *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":306 + * np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + * + * for t in range(1, self.max_iter + 1): # <<<<<<<<<<<<<< + * + * loss = 0. + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_iter); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_t_3, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_19 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_19 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 306, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_20 = __pyx_t_19; + for (__pyx_t_2 = 1; __pyx_t_2 < __pyx_t_20; __pyx_t_2+=1) { + __pyx_v_t = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":308 + * for t in range(1, self.max_iter + 1): + * + * loss = 0. # <<<<<<<<<<<<<< + * aspect_bpr_loss = 0. + * correct = 0 + */ + __pyx_v_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":309 + * + * loss = 0. + * aspect_bpr_loss = 0. # <<<<<<<<<<<<<< + * correct = 0 + * U1_numerator.fill(0) + */ + __pyx_v_aspect_bpr_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":310 + * loss = 0. + * aspect_bpr_loss = 0. + * correct = 0 # <<<<<<<<<<<<<< + * U1_numerator.fill(0) + * U1_denominator.fill(0) + */ + __pyx_v_correct = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":311 + * aspect_bpr_loss = 0. + * correct = 0 + * U1_numerator.fill(0) # <<<<<<<<<<<<<< + * U1_denominator.fill(0) + * U2_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U1_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 311, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 311, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":312 + * correct = 0 + * U1_numerator.fill(0) + * U1_denominator.fill(0) # <<<<<<<<<<<<<< + * U2_numerator.fill(0) + * U2_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U1_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 312, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 312, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":313 + * U1_numerator.fill(0) + * U1_denominator.fill(0) + * U2_numerator.fill(0) # <<<<<<<<<<<<<< + * U2_denominator.fill(0) + * V_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U2_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 313, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 313, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":314 + * U1_denominator.fill(0) + * U2_numerator.fill(0) + * U2_denominator.fill(0) # <<<<<<<<<<<<<< + * V_numerator.fill(0) + * V_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_U2_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 314, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 314, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":315 + * U2_numerator.fill(0) + * U2_denominator.fill(0) + * V_numerator.fill(0) # <<<<<<<<<<<<<< + * V_denominator.fill(0) + * H1_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_V_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 315, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 315, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":316 + * U2_denominator.fill(0) + * V_numerator.fill(0) + * V_denominator.fill(0) # <<<<<<<<<<<<<< + * H1_numerator.fill(0) + * H1_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_V_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 316, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 316, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":317 + * V_numerator.fill(0) + * V_denominator.fill(0) + * H1_numerator.fill(0) # <<<<<<<<<<<<<< + * H1_denominator.fill(0) + * H2_numerator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H1_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":318 + * V_denominator.fill(0) + * H1_numerator.fill(0) + * H1_denominator.fill(0) # <<<<<<<<<<<<<< + * H2_numerator.fill(0) + * H2_denominator.fill(0) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H1_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":319 + * H1_numerator.fill(0) + * H1_denominator.fill(0) + * H2_numerator.fill(0) # <<<<<<<<<<<<<< + * H2_denominator.fill(0) + * + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H2_numerator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":320 + * H1_denominator.fill(0) + * H2_numerator.fill(0) + * H2_denominator.fill(0) # <<<<<<<<<<<<<< + * + * with nogil, parallel(num_threads=num_threads): + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_H2_denominator), __pyx_n_s_fill); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":322 + * H2_denominator.fill(0) + * + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel reduction(-:__pyx_v_aspect_bpr_loss) reduction(+:__pyx_v_correct) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_loss) private(__pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_27, __pyx_t_28, __pyx_t_29, __pyx_t_30, __pyx_t_31, __pyx_t_32, __pyx_t_33, __pyx_t_34, __pyx_t_35, __pyx_t_36, __pyx_t_37, __pyx_t_38, __pyx_t_39, __pyx_t_4, __pyx_t_40, __pyx_t_5) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_num_threads) + #endif /* _OPENMP */ + { + #ifdef _OPENMP + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + Py_BEGIN_ALLOW_THREADS + #endif /* _OPENMP */ + + /* "cornac/models/comparer/recom_comparer_obj.pyx":324 + * with nogil, parallel(num_threads=num_threads): + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): # <<<<<<<<<<<<<< + * i = earlier_indices[idx] + * j = later_indices[idx] + */ + if (unlikely(!__pyx_v_pair_counts.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("pair_counts"); __PYX_ERR(0, 324, __pyx_L12_error) } + __pyx_t_21 = (__pyx_v_pair_counts.shape[0]); + if ((1 == 0)) abort(); + { + double __pyx_parallel_temp0 = ((double)__PYX_NAN()); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + double __pyx_parallel_temp2 = ((double)__PYX_NAN()); + int __pyx_parallel_temp3 = ((int)0xbad0bad0); + double __pyx_parallel_temp4 = ((double)__PYX_NAN()); + int __pyx_parallel_temp5 = ((int)0xbad0bad0); + int __pyx_parallel_temp6 = ((int)0xbad0bad0); + int __pyx_parallel_temp7 = ((int)0xbad0bad0); + int __pyx_parallel_temp8 = ((int)0xbad0bad0); + double __pyx_parallel_temp9 = ((double)__PYX_NAN()); + double __pyx_parallel_temp10 = ((double)__PYX_NAN()); + int __pyx_parallel_temp11 = ((int)0xbad0bad0); + double __pyx_parallel_temp12 = ((double)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_23 = (__pyx_t_21 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_23 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_diff) lastprivate(__pyx_v_f) lastprivate(__pyx_v_grad) lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_score_i) lastprivate(__pyx_v_score_j) lastprivate(__pyx_v_t_count) lastprivate(__pyx_v_z) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_23; __pyx_t_22++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_diff = ((double)__PYX_NAN()); + __pyx_v_f = ((int)0xbad0bad0); + __pyx_v_grad = ((double)__PYX_NAN()); + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_score_i = ((double)__PYX_NAN()); + __pyx_v_score_j = ((double)__PYX_NAN()); + __pyx_v_t_count = ((int)0xbad0bad0); + __pyx_v_z = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":325 + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + * i = earlier_indices[idx] # <<<<<<<<<<<<<< + * j = later_indices[idx] + * k = aspect_indices[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i = (*((long *) ( /* dim=0 */ (__pyx_v_earlier_indices.data + __pyx_t_24 * __pyx_v_earlier_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":326 + * for idx in prange(pair_counts.shape[0]): + * i = earlier_indices[idx] + * j = later_indices[idx] # <<<<<<<<<<<<<< + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_j = (*((long *) ( /* dim=0 */ (__pyx_v_later_indices.data + __pyx_t_24 * __pyx_v_later_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":327 + * i = earlier_indices[idx] + * j = later_indices[idx] + * k = aspect_indices[idx] # <<<<<<<<<<<<<< + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_k = (*((long *) ( /* dim=0 */ (__pyx_v_aspect_indices.data + __pyx_t_24 * __pyx_v_aspect_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":328 + * j = later_indices[idx] + * k = aspect_indices[idx] + * t_count = pair_counts[idx] # <<<<<<<<<<<<<< + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_t_count = (*((long *) ( /* dim=0 */ (__pyx_v_pair_counts.data + __pyx_t_24 * __pyx_v_pair_counts.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":329 + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: # <<<<<<<<<<<<<< + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + */ + __pyx_t_25 = ((__pyx_v_t_count < __pyx_v_min_pair_freq) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L19_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_t_count > __pyx_v_max_pair_freq) != 0); + __pyx_t_4 = __pyx_t_25; + __pyx_L19_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":330 + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue # <<<<<<<<<<<<<< + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + */ + goto __pyx_L14_continue; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":329 + * k = aspect_indices[idx] + * t_count = pair_counts[idx] + * if t_count < min_pair_freq or t_count > max_pair_freq: # <<<<<<<<<<<<<< + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":331 + * if t_count < min_pair_freq or t_count > max_pair_freq: + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) # <<<<<<<<<<<<<< + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = 0; + __pyx_t_27 = __pyx_v_k; + __pyx_t_28 = 0; + __pyx_v_score_i = __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_24 * __pyx_v_U2.strides[0]) ) + __pyx_t_26 * __pyx_v_U2.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_27 * __pyx_v_V.strides[0]) ) + __pyx_t_28 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":332 + * continue + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) # <<<<<<<<<<<<<< + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + */ + __pyx_t_28 = __pyx_v_j; + __pyx_t_27 = 0; + __pyx_t_26 = __pyx_v_k; + __pyx_t_24 = 0; + __pyx_v_score_j = __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_28 * __pyx_v_U2.strides[0]) ) + __pyx_t_27 * __pyx_v_U2.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_26 * __pyx_v_V.strides[0]) ) + __pyx_t_24 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":333 + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): # <<<<<<<<<<<<<< + * diff = score_j - score_i + * if not use_item_pair_popularity: + */ + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_FINER_MODEL) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_DOM_MODEL) != 0); + if (!__pyx_t_25) { + goto __pyx_L24_next_or; + } else { + } + __pyx_t_25 = ((__pyx_v_score_i < __pyx_v_score_j) != 0); + if (!__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_L24_next_or:; + __pyx_t_25 = ((__pyx_v_model_type == __pyx_v_AROUND_MODEL) != 0); + if (__pyx_t_25) { + } else { + __pyx_t_4 = __pyx_t_25; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_25 = ((__pyx_v_score_i > __pyx_v_score_j) != 0); + __pyx_t_4 = __pyx_t_25; + __pyx_L22_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":334 + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i # <<<<<<<<<<<<<< + * if not use_item_pair_popularity: + * t_count = 1 + */ + __pyx_v_diff = (__pyx_v_score_j - __pyx_v_score_i); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":335 + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + * if not use_item_pair_popularity: # <<<<<<<<<<<<<< + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + */ + __pyx_t_4 = ((!(__pyx_v_use_item_pair_popularity != 0)) != 0); + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":336 + * diff = score_j - score_i + * if not use_item_pair_popularity: + * t_count = 1 # <<<<<<<<<<<<<< + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + */ + __pyx_v_t_count = 1; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":335 + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + * diff = score_j - score_i + * if not use_item_pair_popularity: # <<<<<<<<<<<<<< + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":337 + * if not use_item_pair_popularity: + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) # <<<<<<<<<<<<<< + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: + */ + __pyx_t_5 = (1.0 + exp((-__pyx_v_diff))); + if (unlikely(__pyx_t_5 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 337, __pyx_L16_error) + } + __pyx_v_aspect_bpr_loss = (__pyx_v_aspect_bpr_loss - ((__pyx_v_lambda_d * (1.0 + log(__pyx_v_t_count))) * log((1.0 / __pyx_t_5)))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":338 + * t_count = 1 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) # <<<<<<<<<<<<<< + * if z < .5: + * correct += 1 + */ + __pyx_t_5 = (1.0 + exp(__pyx_v_diff)); + if (unlikely(__pyx_t_5 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 338, __pyx_L16_error) + } + __pyx_v_z = (1.0 / __pyx_t_5); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":339 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + */ + __pyx_t_4 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":340 + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: + * correct += 1 # <<<<<<<<<<<<<< + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): + */ + __pyx_v_correct = (__pyx_v_correct + 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":339 + * aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + * z = 1.0 / (1.0 + exp(diff)) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":341 + * if z < .5: + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z # <<<<<<<<<<<<<< + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] + */ + __pyx_v_grad = ((__pyx_v_lambda_d * (1.0 + log(__pyx_v_t_count))) * __pyx_v_z); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":342 + * correct += 1 + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): # <<<<<<<<<<<<<< + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] + */ + __pyx_t_29 = __pyx_v_num_explicit_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_f = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":343 + * grad = lambda_d * (1.0 + log(t_count)) * z + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] # <<<<<<<<<<<<<< + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] + */ + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = __pyx_v_f; + __pyx_t_27 = __pyx_v_i; + __pyx_t_28 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (__pyx_v_grad * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_24 * __pyx_v_V.strides[0]) ) + __pyx_t_26 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":344 + * for f in range(num_explicit_factors): + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] # <<<<<<<<<<<<<< + * V_denominator[k, f] += grad * U2[i, f] + * V_numerator[k, f] += grad * U2[j, f] + */ + __pyx_t_26 = __pyx_v_k; + __pyx_t_24 = __pyx_v_f; + __pyx_t_28 = __pyx_v_j; + __pyx_t_27 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += (__pyx_v_grad * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_26 * __pyx_v_V.strides[0]) ) + __pyx_t_24 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":345 + * U2_denominator[i, f] += grad * V[k, f] + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] # <<<<<<<<<<<<<< + * V_numerator[k, f] += grad * U2[j, f] + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = __pyx_v_f; + __pyx_t_27 = __pyx_v_k; + __pyx_t_28 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += (__pyx_v_grad * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_24 * __pyx_v_U2.strides[0]) ) + __pyx_t_26 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":346 + * U2_numerator[j, f] += grad * V[k, f] + * V_denominator[k, f] += grad * U2[i, f] + * V_numerator[k, f] += grad * U2[j, f] # <<<<<<<<<<<<<< + * + * for idx in prange(A.shape[0]): + */ + __pyx_t_26 = __pyx_v_j; + __pyx_t_24 = __pyx_v_f; + __pyx_t_28 = __pyx_v_k; + __pyx_t_27 = __pyx_v_f; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += (__pyx_v_grad * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_26 * __pyx_v_U2.strides[0]) ) + __pyx_t_24 * __pyx_v_U2.strides[1]) )))); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":333 + * score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + * score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + * if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): # <<<<<<<<<<<<<< + * diff = score_j - score_i + * if not use_item_pair_popularity: + */ + } + goto __pyx_L32; + __pyx_L14_continue:; + goto __pyx_L32; + __pyx_L16_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L31; + __pyx_L31:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates20) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_aspect_bpr_loss; + __pyx_parallel_temp1 = __pyx_v_correct; + __pyx_parallel_temp2 = __pyx_v_diff; + __pyx_parallel_temp3 = __pyx_v_f; + __pyx_parallel_temp4 = __pyx_v_grad; + __pyx_parallel_temp5 = __pyx_v_i; + __pyx_parallel_temp6 = __pyx_v_idx; + __pyx_parallel_temp7 = __pyx_v_j; + __pyx_parallel_temp8 = __pyx_v_k; + __pyx_parallel_temp9 = __pyx_v_score_i; + __pyx_parallel_temp10 = __pyx_v_score_j; + __pyx_parallel_temp11 = __pyx_v_t_count; + __pyx_parallel_temp12 = __pyx_v_z; + } + __pyx_L32:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_aspect_bpr_loss = __pyx_parallel_temp0; + __pyx_v_correct = __pyx_parallel_temp1; + __pyx_v_diff = __pyx_parallel_temp2; + __pyx_v_f = __pyx_parallel_temp3; + __pyx_v_grad = __pyx_parallel_temp4; + __pyx_v_i = __pyx_parallel_temp5; + __pyx_v_idx = __pyx_parallel_temp6; + __pyx_v_j = __pyx_parallel_temp7; + __pyx_v_k = __pyx_parallel_temp8; + __pyx_v_score_i = __pyx_parallel_temp9; + __pyx_v_score_j = __pyx_parallel_temp10; + __pyx_v_t_count = __pyx_parallel_temp11; + __pyx_v_z = __pyx_parallel_temp12; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":348 + * V_numerator[k, f] += grad * U2[j, f] + * + * for idx in prange(A.shape[0]): # <<<<<<<<<<<<<< + * i = A_uids[idx] + * j = A_iids[idx] + */ + if (unlikely(!__pyx_v_A.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("A"); __PYX_ERR(0, 348, __pyx_L12_error) } + __pyx_t_23 = (__pyx_v_A.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_21 = (__pyx_t_23 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_21 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":349 + * + * for idx in prange(A.shape[0]): + * i = A_uids[idx] # <<<<<<<<<<<<<< + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i = (*((long *) ( /* dim=0 */ (__pyx_v_A_uids.data + __pyx_t_24 * __pyx_v_A_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":350 + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + * j = A_iids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_j = (*((long *) ( /* dim=0 */ (__pyx_v_A_iids.data + __pyx_t_24 * __pyx_v_A_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":351 + * i = A_uids[idx] + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ # <<<<<<<<<<<<<< + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = 0; + __pyx_t_27 = __pyx_v_j; + __pyx_t_28 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":352 + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) # <<<<<<<<<<<<<< + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = 0; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = 0; + __pyx_v_prediction = (__pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_24 * __pyx_v_U1.strides[0]) ) + __pyx_t_26 * __pyx_v_U1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_27 * __pyx_v_U2.strides[0]) ) + __pyx_t_28 * __pyx_v_U2.strides[1]) )))), 1) + __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_latent_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_32 * __pyx_v_H1.strides[0]) ) + __pyx_t_33 * __pyx_v_H1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_34 * __pyx_v_H2.strides[0]) ) + __pyx_t_35 * __pyx_v_H2.strides[1]) )))), 1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":353 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] # <<<<<<<<<<<<<< + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_35 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_A.data + __pyx_t_35 * __pyx_v_A.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":354 + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + * loss += (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_prediction - __pyx_v_score) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":355 + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] + */ + __pyx_t_29 = __pyx_v_num_explicit_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_k = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":356 + * loss += (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] # <<<<<<<<<<<<<< + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_U1_numerator.diminfo[1].strides) += (__pyx_v_score * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":357 + * for k in range(num_explicit_factors): + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] # <<<<<<<<<<<<<< + * U2_numerator[j, k] += score * U1[i, k] + * U2_denominator[j, k] += prediction * U1[i, k] + */ + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":358 + * U1_numerator[i, k] += score * U2[j, k] + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] # <<<<<<<<<<<<<< + * U2_denominator[j, k] += prediction * U1[i, k] + * + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += (__pyx_v_score * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_34 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":359 + * U1_denominator[i, k] += prediction * U2[j, k] + * U2_numerator[j, k] += score * U1[i, k] + * U2_denominator[j, k] += prediction * U1[i, k] # <<<<<<<<<<<<<< + * + * for k in range(num_latent_factors): + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":361 + * U2_denominator[j, k] += prediction * U1[i, k] + * + * for k in range(num_latent_factors): # <<<<<<<<<<<<<< + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] + */ + __pyx_t_29 = __pyx_v_num_latent_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_k = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":362 + * + * for k in range(num_latent_factors): + * H1_numerator[i, k] += score * H2[j, k] # <<<<<<<<<<<<<< + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H1_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_H1_numerator.diminfo[1].strides) += (__pyx_v_score * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_35 * __pyx_v_H2.strides[0]) ) + __pyx_t_34 * __pyx_v_H2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":363 + * for k in range(num_latent_factors): + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] # <<<<<<<<<<<<<< + * H2_numerator[j, k] += score * H1[i, k] + * H2_denominator[j, k] += prediction * H1[i, k] + */ + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H1_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_34 * __pyx_v_H2.strides[0]) ) + __pyx_t_35 * __pyx_v_H2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":364 + * H1_numerator[i, k] += score * H2[j, k] + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] # <<<<<<<<<<<<<< + * H2_denominator[j, k] += prediction * H1[i, k] + * + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H2_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_H2_numerator.diminfo[1].strides) += (__pyx_v_score * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_35 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":365 + * H1_denominator[i, k] += prediction * H2[j, k] + * H2_numerator[j, k] += score * H1[i, k] + * H2_denominator[j, k] += prediction * H1[i, k] # <<<<<<<<<<<<<< + * + * for idx in prange(X.shape[0]): + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H2_denominator.diminfo[1].strides) += (__pyx_v_prediction * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_34 * __pyx_v_H1.strides[0]) ) + __pyx_t_35 * __pyx_v_H1.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":367 + * H2_denominator[j, k] += prediction * H1[i, k] + * + * for idx in prange(X.shape[0]): # <<<<<<<<<<<<<< + * i = X_uids[idx] + * j = X_aids[idx] + */ + if (unlikely(!__pyx_v_X.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("X"); __PYX_ERR(0, 367, __pyx_L12_error) } + __pyx_t_21 = (__pyx_v_X.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_23 = (__pyx_t_21 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_23 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_23; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":368 + * + * for idx in prange(X.shape[0]): + * i = X_uids[idx] # <<<<<<<<<<<<<< + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + */ + __pyx_t_35 = __pyx_v_idx; + __pyx_v_i = (*((long *) ( /* dim=0 */ (__pyx_v_X_uids.data + __pyx_t_35 * __pyx_v_X_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":369 + * for idx in prange(X.shape[0]): + * i = X_uids[idx] + * j = X_aids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] + */ + __pyx_t_35 = __pyx_v_idx; + __pyx_v_j = (*((long *) ( /* dim=0 */ (__pyx_v_X_aids.data + __pyx_t_35 * __pyx_v_X_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":370 + * i = X_uids[idx] + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) # <<<<<<<<<<<<<< + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = 0; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = 0; + __pyx_v_prediction = __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_34 * __pyx_v_U1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_33 * __pyx_v_V.strides[0]) ) + __pyx_t_32 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":371 + * j = X_aids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] # <<<<<<<<<<<<<< + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_32 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_X.data + __pyx_t_32 * __pyx_v_X.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":372 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_x * (__pyx_v_prediction - __pyx_v_score)) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":373 + * score = X[idx] + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + */ + __pyx_t_29 = __pyx_v_num_explicit_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_k = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":374 + * loss += lambda_x * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] # <<<<<<<<<<<<<< + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_score) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_32 * __pyx_v_U1.strides[0]) ) + __pyx_t_33 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":375 + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] # <<<<<<<<<<<<<< + * U1_numerator[i, k] += lambda_x * score * V[j, k] + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_k; + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_prediction) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_33 * __pyx_v_U1.strides[0]) ) + __pyx_t_32 * __pyx_v_U1.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":376 + * V_numerator[j, k] += lambda_x * score * U1[i, k] + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] # <<<<<<<<<<<<<< + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + * + */ + __pyx_t_32 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U1_numerator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_score) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_32 * __pyx_v_V.strides[0]) ) + __pyx_t_33 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":377 + * V_denominator[j, k] += lambda_x * prediction * U1[i, k] + * U1_numerator[i, k] += lambda_x * score * V[j, k] + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] # <<<<<<<<<<<<<< + * + * for idx in prange(Y.shape[0]): + */ + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_k; + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += ((__pyx_v_lambda_x * __pyx_v_prediction) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_33 * __pyx_v_V.strides[0]) ) + __pyx_t_32 * __pyx_v_V.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":379 + * U1_denominator[i, k] += lambda_x * prediction * V[j, k] + * + * for idx in prange(Y.shape[0]): # <<<<<<<<<<<<<< + * i = Y_iids[idx] + * j = Y_aids[idx] + */ + if (unlikely(!__pyx_v_Y.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("Y"); __PYX_ERR(0, 379, __pyx_L12_error) } + __pyx_t_23 = (__pyx_v_Y.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_21 = (__pyx_t_23 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_21 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_22); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_prediction = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":380 + * + * for idx in prange(Y.shape[0]): + * i = Y_iids[idx] # <<<<<<<<<<<<<< + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + */ + __pyx_t_32 = __pyx_v_idx; + __pyx_v_i = (*((long *) ( /* dim=0 */ (__pyx_v_Y_iids.data + __pyx_t_32 * __pyx_v_Y_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":381 + * for idx in prange(Y.shape[0]): + * i = Y_iids[idx] + * j = Y_aids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] + */ + __pyx_t_32 = __pyx_v_idx; + __pyx_v_j = (*((long *) ( /* dim=0 */ (__pyx_v_Y_aids.data + __pyx_t_32 * __pyx_v_Y_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":382 + * i = Y_iids[idx] + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) # <<<<<<<<<<<<<< + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = 0; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = 0; + __pyx_v_prediction = __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_32 * __pyx_v_U2.strides[0]) ) + __pyx_t_33 * __pyx_v_U2.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))), 1); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":383 + * j = Y_aids[idx] + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] # <<<<<<<<<<<<<< + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + */ + __pyx_t_35 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_Y.data + __pyx_t_35 * __pyx_v_Y.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":384 + * prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_y * (__pyx_v_prediction - __pyx_v_score)) * (__pyx_v_prediction - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":385 + * score = Y[idx] + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): # <<<<<<<<<<<<<< + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + */ + __pyx_t_29 = __pyx_v_num_explicit_factors; + __pyx_t_30 = __pyx_t_29; + for (__pyx_t_31 = 0; __pyx_t_31 < __pyx_t_30; __pyx_t_31+=1) { + __pyx_v_k = __pyx_t_31; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":386 + * loss += lambda_y * (prediction - score) * (prediction - score) + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] # <<<<<<<<<<<<<< + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_V_numerator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_score) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_35 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":387 + * for k in range(num_explicit_factors): + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] # <<<<<<<<<<<<<< + * U2_numerator[i, k] += lambda_y * score * V[j, k] + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_j; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_prediction) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_35 * __pyx_v_U2.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":388 + * V_numerator[j, k] += lambda_y * score * U2[i, k] + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] # <<<<<<<<<<<<<< + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] + * + */ + __pyx_t_35 = __pyx_v_j; + __pyx_t_34 = __pyx_v_k; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_U2_numerator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_score) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_34 * __pyx_v_V.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":389 + * V_denominator[j, k] += lambda_y * prediction * U2[i, k] + * U2_numerator[i, k] += lambda_y * score * V[j, k] + * U2_denominator[i, k] += lambda_y * prediction * V[j, k] # <<<<<<<<<<<<<< + * + * # update V + */ + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_k; + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += ((__pyx_v_lambda_y * __pyx_v_prediction) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))); + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":392 + * + * # update V + * for i in prange(num_aspects): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] + */ + __pyx_t_29 = __pyx_v_num_aspects; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + double __pyx_parallel_temp2 = ((double)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_31 = (__pyx_t_29 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_31 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_30 = 0; __pyx_t_30 < __pyx_t_31; __pyx_t_30++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_30); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":393 + * # update V + * for i in prange(num_aspects): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_explicit_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":394 + * for i in prange(num_aspects): + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] # <<<<<<<<<<<<<< + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_v * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_34 * __pyx_v_V.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_33 * __pyx_v_V.strides[0]) ) + __pyx_t_32 * __pyx_v_V.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":395 + * for j in range(num_explicit_factors): + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps # <<<<<<<<<<<<<< + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + * + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_28 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_V_denominator.diminfo[1].strides) += (((((*((long *) ( /* dim=0 */ (__pyx_v_X_aspect_counts.data + __pyx_t_32 * __pyx_v_X_aspect_counts.strides[0]) ))) + (*((long *) ( /* dim=0 */ (__pyx_v_Y_aspect_counts.data + __pyx_t_33 * __pyx_v_Y_aspect_counts.strides[0]) )))) * __pyx_v_lambda_v) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_34 * __pyx_v_V.strides[0]) ) + __pyx_t_35 * __pyx_v_V.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":396 + * loss += lambda_v * V[i, j] * V[i, j] + * V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + * V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) # <<<<<<<<<<<<<< + * + * # update U1, H1 + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_numerator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_V_numerator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_V_numerator.diminfo[1].strides)); + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_V_denominator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_V_denominator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_V_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 396, __pyx_L61_error) + } + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_V.data + __pyx_t_35 * __pyx_v_V.strides[0]) ) + __pyx_t_34 * __pyx_v_V.strides[1]) )) *= sqrt((__pyx_t_39 / __pyx_t_40)); + } + goto __pyx_L66; + __pyx_L61_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L65; + __pyx_L65:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates21) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L66:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":399 + * + * # update U1, H1 + * for i in prange(num_users): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] + */ + __pyx_t_31 = __pyx_v_num_users; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + double __pyx_parallel_temp2 = ((double)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_29 = (__pyx_t_31 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_29 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_30 = 0; __pyx_t_30 < __pyx_t_29; __pyx_t_30++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_30); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":400 + * # update U1, H1 + * for i in prange(num_users): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_explicit_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":401 + * for i in prange(num_users): + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] # <<<<<<<<<<<<<< + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_u * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_33 * __pyx_v_U1.strides[0]) ) + __pyx_t_32 * __pyx_v_U1.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":402 + * for j in range(num_explicit_factors): + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps # <<<<<<<<<<<<<< + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_27 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_U1_denominator.diminfo[1].strides) += (((((*((long *) ( /* dim=0 */ (__pyx_v_A_user_counts.data + __pyx_t_32 * __pyx_v_A_user_counts.strides[0]) ))) + (*((long *) ( /* dim=0 */ (__pyx_v_X_user_counts.data + __pyx_t_33 * __pyx_v_X_user_counts.strides[0]) )))) * __pyx_v_lambda_u) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_35 * __pyx_v_U1.strides[0]) ) + __pyx_t_34 * __pyx_v_U1.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":403 + * loss += lambda_u * U1[i, j] * U1[i, j] + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) # <<<<<<<<<<<<<< + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U1_numerator.diminfo[0].strides, __pyx_t_35, __pyx_pybuffernd_U1_numerator.diminfo[1].strides)); + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U1_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_39 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 403, __pyx_L69_error) + } + __pyx_t_34 = __pyx_v_i; + __pyx_t_35 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_34 * __pyx_v_U1.strides[0]) ) + __pyx_t_35 * __pyx_v_U1.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_39)); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":404 + * U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): # <<<<<<<<<<<<<< + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_latent_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":405 + * U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] # <<<<<<<<<<<<<< + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + */ + __pyx_t_35 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_h * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_35 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_33 * __pyx_v_H1.strides[0]) ) + __pyx_t_32 * __pyx_v_H1.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":406 + * for j in range(num_latent_factors): + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps # <<<<<<<<<<<<<< + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + * + */ + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_35 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_H1_denominator.diminfo[1].strides) += ((((*((long *) ( /* dim=0 */ (__pyx_v_A_user_counts.data + __pyx_t_32 * __pyx_v_A_user_counts.strides[0]) ))) * __pyx_v_lambda_h) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_33 * __pyx_v_H1.strides[0]) ) + __pyx_t_34 * __pyx_v_H1.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":407 + * loss += lambda_h * H1[i, j] * H1[i, j] + * H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + * H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) # <<<<<<<<<<<<<< + * + * # update U2, H2 + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H1_numerator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H1_numerator.diminfo[1].strides)); + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H1_denominator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_H1_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 407, __pyx_L69_error) + } + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_34 * __pyx_v_H1.strides[0]) ) + __pyx_t_33 * __pyx_v_H1.strides[1]) )) *= sqrt((__pyx_t_39 / __pyx_t_40)); + } + goto __pyx_L76; + __pyx_L69_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L75; + __pyx_L75:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates22) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L76:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":410 + * + * # update U2, H2 + * for i in prange(num_items): # <<<<<<<<<<<<<< + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] + */ + __pyx_t_29 = __pyx_v_num_items; + if ((1 == 0)) abort(); + { + int __pyx_parallel_temp0 = ((int)0xbad0bad0); + int __pyx_parallel_temp1 = ((int)0xbad0bad0); + double __pyx_parallel_temp2 = ((double)__PYX_NAN()); + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + __pyx_t_31 = (__pyx_t_29 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_31 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) + #endif /* _OPENMP */ + for (__pyx_t_30 = 0; __pyx_t_30 < __pyx_t_31; __pyx_t_30++){ + if (__pyx_parallel_why < 2) + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_30); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":411 + * # update U2, H2 + * for i in prange(num_items): + * for j in range(num_explicit_factors): # <<<<<<<<<<<<<< + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_explicit_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":412 + * for i in prange(num_items): + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] # <<<<<<<<<<<<<< + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_32 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_u * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_33 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_32 * __pyx_v_U2.strides[0]) ) + __pyx_t_28 * __pyx_v_U2.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":413 + * for j in range(num_explicit_factors): + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps # <<<<<<<<<<<<<< + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): + */ + __pyx_t_28 = __pyx_v_i; + __pyx_t_32 = __pyx_v_i; + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_35 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_U2_denominator.diminfo[1].strides) += (((((*((long *) ( /* dim=0 */ (__pyx_v_A_item_counts.data + __pyx_t_28 * __pyx_v_A_item_counts.strides[0]) ))) + (*((long *) ( /* dim=0 */ (__pyx_v_Y_item_counts.data + __pyx_t_32 * __pyx_v_Y_item_counts.strides[0]) )))) * __pyx_v_lambda_u) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_34 * __pyx_v_U2.strides[0]) ) + __pyx_t_33 * __pyx_v_U2.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":414 + * loss += lambda_u * U2[i, j] * U2[i, j] + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) # <<<<<<<<<<<<<< + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_U2_numerator.diminfo[0].strides, __pyx_t_34, __pyx_pybuffernd_U2_numerator.diminfo[1].strides)); + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_U2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_U2_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_39 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 414, __pyx_L79_error) + } + __pyx_t_33 = __pyx_v_i; + __pyx_t_34 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_33 * __pyx_v_U2.strides[0]) ) + __pyx_t_34 * __pyx_v_U2.strides[1]) )) *= sqrt((__pyx_t_40 / __pyx_t_39)); + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":415 + * U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): # <<<<<<<<<<<<<< + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + */ + __pyx_t_36 = __pyx_v_num_latent_factors; + __pyx_t_37 = __pyx_t_36; + for (__pyx_t_38 = 0; __pyx_t_38 < __pyx_t_37; __pyx_t_38+=1) { + __pyx_v_j = __pyx_t_38; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":416 + * U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] # <<<<<<<<<<<<<< + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + */ + __pyx_t_34 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_32 = __pyx_v_i; + __pyx_t_28 = __pyx_v_j; + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_lambda_h * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_34 * __pyx_v_H2.strides[0]) ) + __pyx_t_33 * __pyx_v_H2.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_32 * __pyx_v_H2.strides[0]) ) + __pyx_t_28 * __pyx_v_H2.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":417 + * for j in range(num_latent_factors): + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps # <<<<<<<<<<<<<< + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + */ + __pyx_t_28 = __pyx_v_i; + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_34 = __pyx_v_i; + __pyx_t_27 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_H2_denominator.diminfo[1].strides) += ((((*((long *) ( /* dim=0 */ (__pyx_v_A_item_counts.data + __pyx_t_28 * __pyx_v_A_item_counts.strides[0]) ))) * __pyx_v_lambda_h) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_32 * __pyx_v_H2.strides[0]) ) + __pyx_t_33 * __pyx_v_H2.strides[1]) )))) + __pyx_v_eps); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":418 + * loss += lambda_h * H2[i, j] * H2[i, j] + * H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + __pyx_t_39 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_H2_numerator.diminfo[0].strides, __pyx_t_32, __pyx_pybuffernd_H2_numerator.diminfo[1].strides)); + __pyx_t_32 = __pyx_v_i; + __pyx_t_33 = __pyx_v_j; + __pyx_t_40 = (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer.buf, __pyx_t_32, __pyx_pybuffernd_H2_denominator.diminfo[0].strides, __pyx_t_33, __pyx_pybuffernd_H2_denominator.diminfo[1].strides)); + if (unlikely(__pyx_t_40 == 0)) { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + PyErr_SetString(PyExc_ZeroDivisionError, "float division"); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + __PYX_ERR(0, 418, __pyx_L79_error) + } + __pyx_t_33 = __pyx_v_i; + __pyx_t_32 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_33 * __pyx_v_H2.strides[0]) ) + __pyx_t_32 * __pyx_v_H2.strides[1]) )) *= sqrt((__pyx_t_39 / __pyx_t_40)); + } + goto __pyx_L86; + __pyx_L79_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L85; + __pyx_L85:; + #ifdef _OPENMP + #pragma omp critical(__pyx_parallel_lastprivates23) + #endif /* _OPENMP */ + { + __pyx_parallel_temp0 = __pyx_v_i; + __pyx_parallel_temp1 = __pyx_v_j; + __pyx_parallel_temp2 = __pyx_v_loss; + } + __pyx_L86:; + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_why) + #endif /* _OPENMP */ + } + } + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + __pyx_v_i = __pyx_parallel_temp0; + __pyx_v_j = __pyx_parallel_temp1; + __pyx_v_loss = __pyx_parallel_temp2; + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L12_error; + } + } + } + goto __pyx_L88; + __pyx_L12_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L88; + __pyx_L88:; + #ifdef _OPENMP + Py_END_ALLOW_THREADS + #else +{ +#ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #endif /* _OPENMP */ + /* Clean up any temporaries */ + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + #ifndef _OPENMP +} +#endif /* _OPENMP */ + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L8_error; + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":322 + * H2_denominator.fill(0) + * + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * # compute numerators and denominators for all factors + * for idx in prange(pair_counts.shape[0]): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L9; + } + __pyx_L8_error: { + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L1_error; + } + __pyx_L9:; + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":420 + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 420, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 420, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":421 + * + * if self.verbose: + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) # <<<<<<<<<<<<<< + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): + */ + __pyx_t_1 = PyTuple_New(8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_21 = 0; + __pyx_t_41 = 127; + __Pyx_INCREF(__pyx_kp_u_iter); + __pyx_t_21 += 6; + __Pyx_GIVEREF(__pyx_kp_u_iter); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_kp_u_iter); + __pyx_t_3 = __Pyx_PyUnicode_From_int(__pyx_v_t, 0, ' ', 'd'); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_kp_u_loss); + __pyx_t_21 += 8; + __Pyx_GIVEREF(__pyx_kp_u_loss); + PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_kp_u_loss); + __pyx_t_3 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = __Pyx_PyObject_Format(__pyx_t_3, __pyx_kp_u_2f); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_41 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) > __pyx_t_41) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) : __pyx_t_41; + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 3, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_INCREF(__pyx_kp_u_aspect_bpr_loss); + __pyx_t_21 += 19; + __Pyx_GIVEREF(__pyx_kp_u_aspect_bpr_loss); + PyTuple_SET_ITEM(__pyx_t_1, 4, __pyx_kp_u_aspect_bpr_loss); + __pyx_t_6 = PyFloat_FromDouble(__pyx_v_aspect_bpr_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_3 = __Pyx_PyObject_Format(__pyx_t_6, __pyx_kp_u_2f); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_41 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) > __pyx_t_41) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) : __pyx_t_41; + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 5, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_kp_u_correct); + __pyx_t_21 += 11; + __Pyx_GIVEREF(__pyx_kp_u_correct); + PyTuple_SET_ITEM(__pyx_t_1, 6, __pyx_kp_u_correct); + __pyx_t_3 = __Pyx_PyUnicode_From_int(__pyx_v_correct, 0, ' ', 'd'); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_21 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 7, __pyx_t_3); + __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyUnicode_Join(__pyx_t_1, 8, __pyx_t_21, __pyx_t_41); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":420 + * H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":423 + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): # <<<<<<<<<<<<<< + * break + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_25 = (__pyx_t_1 != Py_None); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_42 = (__pyx_t_25 != 0); + if (__pyx_t_42) { + } else { + __pyx_t_4 = __pyx_t_42; + goto __pyx_L91_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stop); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_early_stopping); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + if (unlikely(__pyx_t_6 == Py_None)) { + PyErr_SetString(PyExc_TypeError, "argument after ** must be a mapping, not NoneType"); + __PYX_ERR(0, 423, __pyx_L1_error) + } + if (likely(PyDict_CheckExact(__pyx_t_6))) { + __pyx_t_3 = PyDict_Copy(__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } else { + __pyx_t_3 = PyObject_CallFunctionObjArgs((PyObject*)&PyDict_Type, __pyx_t_6, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_empty_tuple, __pyx_t_3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_42 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_42 < 0)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_4 = __pyx_t_42; + __pyx_L91_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":424 + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): + * break # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + goto __pyx_L4_break; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":423 + * print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + * + * if self.early_stopping is not None and self.early_stop(**self.early_stopping): # <<<<<<<<<<<<<< + * break + * + */ + } + } + __pyx_L4_break:; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":426 + * break + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":427 + * + * if self.verbose: + * print('Optimization finished!') # <<<<<<<<<<<<<< + * + * @cython.boundscheck(False) + */ + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":426 + * break + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":261 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_efm(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, integral[:] A_user_counts, integral[:] A_item_counts, + * floating[:] X, integral[:] X_uids, integral[:] X_aids, integral[:] X_user_counts, integral[:] X_aspect_counts, + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer); + __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._fit_efm", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + goto __pyx_L2; + __pyx_L0:; + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U1_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_U2_numerator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_denominator.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_V_numerator.rcbuffer->pybuffer); + __pyx_L2:; + __Pyx_XDECREF((PyObject *)__pyx_v_U1_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_U1_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_U2_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_U2_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_V_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_V_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_H1_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_H1_denominator); + __Pyx_XDECREF((PyObject *)__pyx_v_H2_numerator); + __Pyx_XDECREF((PyObject *)__pyx_v_H2_denominator); + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_user_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_item_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_user_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aspect_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_item_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_Y_aspect_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_earlier_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_later_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_aspect_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_pair_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_V, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H2, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":431 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _get_loss(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_13_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_13_get_loss = {"_get_loss", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_13_get_loss, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_13_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_signatures = 0; + PyObject *__pyx_v_args = 0; + PyObject *__pyx_v_kwargs = 0; + CYTHON_UNUSED PyObject *__pyx_v_defaults = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__pyx_fused_cpdef (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_signatures,&__pyx_n_s_args,&__pyx_n_s_kwargs,&__pyx_n_s_defaults,0}; + PyObject* values[4] = {0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_signatures)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_args)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_fused_cpdef", 1, 4, 4, 1); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_kwargs)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_fused_cpdef", 1, 4, 4, 2); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_defaults)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_fused_cpdef", 1, 4, 4, 3); __PYX_ERR(0, 431, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__pyx_fused_cpdef") < 0)) __PYX_ERR(0, 431, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 4) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + } + __pyx_v_signatures = values[0]; + __pyx_v_args = values[1]; + __pyx_v_kwargs = values[2]; + __pyx_v_defaults = values[3]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__pyx_fused_cpdef", 1, 4, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.__pyx_fused_cpdef", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_12_get_loss(__pyx_self, __pyx_v_signatures, __pyx_v_args, __pyx_v_kwargs, __pyx_v_defaults); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_12_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults) { + PyObject *__pyx_v_dest_sig = NULL; + Py_ssize_t __pyx_v_i; + PyTypeObject *__pyx_v_ndarray = 0; + __Pyx_memviewslice __pyx_v_memslice; + Py_ssize_t __pyx_v_itemsize; + int __pyx_v_dtype_signed; + char __pyx_v_kind; + int __pyx_v_short_is_signed; + int __pyx_v_int_is_signed; + int __pyx_v_long_is_signed; + PyObject *__pyx_v_arg = NULL; + PyObject *__pyx_v_dtype = NULL; + PyObject *__pyx_v_arg_base = NULL; + PyObject *__pyx_v_candidates = NULL; + PyObject *__pyx_v_sig = NULL; + int __pyx_v_match_found; + PyObject *__pyx_v_src_sig = NULL; + PyObject *__pyx_v_dst_type = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + Py_ssize_t __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + long __pyx_t_7; + __Pyx_memviewslice __pyx_t_8; + Py_ssize_t __pyx_t_9; + int __pyx_t_10; + int __pyx_t_11; + PyObject *__pyx_t_12 = NULL; + PyObject *__pyx_t_13 = NULL; + PyObject *__pyx_t_14 = NULL; + Py_ssize_t __pyx_t_15; + Py_ssize_t __pyx_t_16; + Py_ssize_t __pyx_t_17; + int __pyx_t_18; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_get_loss", 0); + __Pyx_INCREF(__pyx_v_kwargs); + __pyx_t_1 = PyList_New(1 * 2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + { Py_ssize_t __pyx_temp; + for (__pyx_temp=0; __pyx_temp < 2; __pyx_temp++) { + __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(Py_None); + PyList_SET_ITEM(__pyx_t_1, __pyx_temp, Py_None); + } + } + __pyx_v_dest_sig = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_3 = (__pyx_v_kwargs != Py_None); + __pyx_t_4 = (__pyx_t_3 != 0); + if (__pyx_t_4) { + } else { + __pyx_t_2 = __pyx_t_4; + goto __pyx_L4_bool_binop_done; + } + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_v_kwargs); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + __pyx_t_3 = ((!__pyx_t_4) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L4_bool_binop_done:; + if (__pyx_t_2) { + __Pyx_INCREF(Py_None); + __Pyx_DECREF_SET(__pyx_v_kwargs, Py_None); + } + __pyx_t_1 = ((PyObject *)__Pyx_ImportNumPyArrayTypeIfAvailable()); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_ndarray = ((PyTypeObject*)__pyx_t_1); + __pyx_t_1 = 0; + __pyx_v_itemsize = -1L; + __pyx_v_short_is_signed = (!((((short)-1L) > 0) != 0)); + __pyx_v_int_is_signed = (!((((int)-1L) > 0) != 0)); + __pyx_v_long_is_signed = (!((((long)-1L) > 0) != 0)); + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_5 = PyTuple_GET_SIZE(((PyObject*)__pyx_v_args)); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 431, __pyx_L1_error) + __pyx_t_2 = ((2 < __pyx_t_5) != 0); + if (__pyx_t_2) { + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_1 = PyTuple_GET_ITEM(((PyObject*)__pyx_v_args), 2); + __Pyx_INCREF(__pyx_t_1); + __pyx_v_arg = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L6; + } + __pyx_t_3 = (__pyx_v_kwargs != Py_None); + __pyx_t_4 = (__pyx_t_3 != 0); + if (__pyx_t_4) { + } else { + __pyx_t_2 = __pyx_t_4; + goto __pyx_L7_bool_binop_done; + } + if (unlikely(__pyx_v_kwargs == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_4 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_A, ((PyObject*)__pyx_v_kwargs), Py_EQ)); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + __pyx_t_3 = (__pyx_t_4 != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L7_bool_binop_done:; + if (__pyx_t_2) { + if (unlikely(__pyx_v_kwargs == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_1 = __Pyx_PyDict_GetItem(((PyObject*)__pyx_v_kwargs), __pyx_n_s_A); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_arg = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L6; + } + /*else*/ { + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_5 = PyTuple_GET_SIZE(((PyObject*)__pyx_v_args)); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 431, __pyx_L1_error) + __pyx_t_1 = PyInt_FromSsize_t(__pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = PyTuple_New(3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_INCREF(__pyx_int_10); + __Pyx_GIVEREF(__pyx_int_10); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_int_10); + __Pyx_INCREF(__pyx_n_s_s); + __Pyx_GIVEREF(__pyx_n_s_s); + PyTuple_SET_ITEM(__pyx_t_6, 1, __pyx_n_s_s); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 2, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyString_Format(__pyx_kp_s_Expected_at_least_d_argument_s_g, __pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_builtin_TypeError, __pyx_t_1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_Raise(__pyx_t_6, 0, 0, 0); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_L6:; + while (1) { + __pyx_t_2 = (__pyx_v_ndarray != ((PyTypeObject*)Py_None)); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_3 = __Pyx_TypeCheck(__pyx_v_arg, __pyx_v_ndarray); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_dtype); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_v_dtype = __pyx_t_6; + __pyx_t_6 = 0; + goto __pyx_L12; + } + __pyx_t_2 = __pyx_memoryview_check(__pyx_v_arg); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_base); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_v_arg_base = __pyx_t_6; + __pyx_t_6 = 0; + __pyx_t_3 = __Pyx_TypeCheck(__pyx_v_arg_base, __pyx_v_ndarray); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg_base, __pyx_n_s_dtype); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_v_dtype = __pyx_t_6; + __pyx_t_6 = 0; + goto __pyx_L13; + } + /*else*/ { + __Pyx_INCREF(Py_None); + __pyx_v_dtype = Py_None; + } + __pyx_L13:; + goto __pyx_L12; + } + /*else*/ { + __Pyx_INCREF(Py_None); + __pyx_v_dtype = Py_None; + } + __pyx_L12:; + __pyx_v_itemsize = -1L; + __pyx_t_2 = (__pyx_v_dtype != Py_None); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_itemsize); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_6); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_v_itemsize = __pyx_t_5; + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_kind); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = __Pyx_PyObject_Ord(__pyx_t_6); if (unlikely(__pyx_t_7 == ((long)(long)(Py_UCS4)-1))) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_v_kind = __pyx_t_7; + __pyx_v_dtype_signed = (__pyx_v_kind == 'i'); + switch (__pyx_v_kind) { + case 'i': + case 'u': + break; + case 'f': + __pyx_t_2 = (((sizeof(float)) == __pyx_v_itemsize) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_3 = __pyx_t_2; + goto __pyx_L16_bool_binop_done; + } + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_6); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_2 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L16_bool_binop_done:; + if (__pyx_t_3) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, __pyx_n_s_float, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + goto __pyx_L10_break; + } + __pyx_t_2 = (((sizeof(double)) == __pyx_v_itemsize) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_3 = __pyx_t_2; + goto __pyx_L19_bool_binop_done; + } + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_6); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_2 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L19_bool_binop_done:; + if (__pyx_t_3) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, __pyx_n_s_double, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + goto __pyx_L10_break; + } + break; + case 'c': + break; + case 'O': + break; + default: break; + } + } + } + __pyx_t_2 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_2) { + } else { + __pyx_t_3 = __pyx_t_2; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_2 = ((__pyx_v_itemsize == (sizeof(float))) != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L22_bool_binop_done:; + if (__pyx_t_3) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_float(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_3 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_3) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, __pyx_n_s_float, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + goto __pyx_L10_break; + } + /*else*/ { + PyErr_Clear(); + } + } + __pyx_t_2 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_2) { + } else { + __pyx_t_3 = __pyx_t_2; + goto __pyx_L26_bool_binop_done; + } + __pyx_t_2 = ((__pyx_v_itemsize == (sizeof(double))) != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L26_bool_binop_done:; + if (__pyx_t_3) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_double(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_3 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_3) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, __pyx_n_s_double, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + goto __pyx_L10_break; + } + /*else*/ { + PyErr_Clear(); + } + } + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, Py_None, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + goto __pyx_L10_break; + } + __pyx_L10_break:; + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_5 = PyTuple_GET_SIZE(((PyObject*)__pyx_v_args)); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 431, __pyx_L1_error) + __pyx_t_3 = ((3 < __pyx_t_5) != 0); + if (__pyx_t_3) { + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_6 = PyTuple_GET_ITEM(((PyObject*)__pyx_v_args), 3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_DECREF_SET(__pyx_v_arg, __pyx_t_6); + __pyx_t_6 = 0; + goto __pyx_L29; + } + __pyx_t_2 = (__pyx_v_kwargs != Py_None); + __pyx_t_4 = (__pyx_t_2 != 0); + if (__pyx_t_4) { + } else { + __pyx_t_3 = __pyx_t_4; + goto __pyx_L30_bool_binop_done; + } + if (unlikely(__pyx_v_kwargs == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_4 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_A_uids, ((PyObject*)__pyx_v_kwargs), Py_EQ)); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + __pyx_t_2 = (__pyx_t_4 != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L30_bool_binop_done:; + if (__pyx_t_3) { + if (unlikely(__pyx_v_kwargs == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_6 = __Pyx_PyDict_GetItem(((PyObject*)__pyx_v_kwargs), __pyx_n_s_A_uids); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF_SET(__pyx_v_arg, __pyx_t_6); + __pyx_t_6 = 0; + goto __pyx_L29; + } + /*else*/ { + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_5 = PyTuple_GET_SIZE(((PyObject*)__pyx_v_args)); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 431, __pyx_L1_error) + __pyx_t_6 = PyInt_FromSsize_t(__pyx_t_5); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_int_10); + __Pyx_GIVEREF(__pyx_int_10); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_int_10); + __Pyx_INCREF(__pyx_n_s_s); + __Pyx_GIVEREF(__pyx_n_s_s); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_n_s_s); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_t_6); + __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyString_Format(__pyx_kp_s_Expected_at_least_d_argument_s_g, __pyx_t_1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_TypeError, __pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_L29:; + while (1) { + __pyx_t_3 = (__pyx_v_ndarray != ((PyTypeObject*)Py_None)); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_2 = __Pyx_TypeCheck(__pyx_v_arg, __pyx_v_ndarray); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_dtype); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XDECREF_SET(__pyx_v_dtype, __pyx_t_1); + __pyx_t_1 = 0; + goto __pyx_L35; + } + __pyx_t_3 = __pyx_memoryview_check(__pyx_v_arg); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_base); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XDECREF_SET(__pyx_v_arg_base, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_TypeCheck(__pyx_v_arg_base, __pyx_v_ndarray); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg_base, __pyx_n_s_dtype); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XDECREF_SET(__pyx_v_dtype, __pyx_t_1); + __pyx_t_1 = 0; + goto __pyx_L36; + } + /*else*/ { + __Pyx_INCREF(Py_None); + __Pyx_XDECREF_SET(__pyx_v_dtype, Py_None); + } + __pyx_L36:; + goto __pyx_L35; + } + /*else*/ { + __Pyx_INCREF(Py_None); + __Pyx_XDECREF_SET(__pyx_v_dtype, Py_None); + } + __pyx_L35:; + __pyx_v_itemsize = -1L; + __pyx_t_3 = (__pyx_v_dtype != Py_None); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_itemsize); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_itemsize = __pyx_t_5; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_kind); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_7 = __Pyx_PyObject_Ord(__pyx_t_1); if (unlikely(__pyx_t_7 == ((long)(long)(Py_UCS4)-1))) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_kind = __pyx_t_7; + __pyx_v_dtype_signed = (__pyx_v_kind == 'i'); + switch (__pyx_v_kind) { + case 'i': + case 'u': + __pyx_t_3 = (((sizeof(short)) == __pyx_v_itemsize) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L39_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L39_bool_binop_done; + } + __pyx_t_3 = ((!((__pyx_v_short_is_signed ^ __pyx_v_dtype_signed) != 0)) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L39_bool_binop_done:; + if (__pyx_t_2) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_short, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + goto __pyx_L33_break; + } + __pyx_t_3 = (((sizeof(int)) == __pyx_v_itemsize) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L43_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L43_bool_binop_done; + } + __pyx_t_3 = ((!((__pyx_v_int_is_signed ^ __pyx_v_dtype_signed) != 0)) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L43_bool_binop_done:; + if (__pyx_t_2) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_int, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + goto __pyx_L33_break; + } + __pyx_t_3 = (((sizeof(long)) == __pyx_v_itemsize) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L47_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L47_bool_binop_done; + } + __pyx_t_3 = ((!((__pyx_v_long_is_signed ^ __pyx_v_dtype_signed) != 0)) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L47_bool_binop_done:; + if (__pyx_t_2) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_long, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + goto __pyx_L33_break; + } + break; + case 'f': + break; + case 'c': + break; + case 'O': + break; + default: break; + } + } + } + __pyx_t_3 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L51_bool_binop_done; + } + __pyx_t_3 = ((__pyx_v_itemsize == (sizeof(short))) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L51_bool_binop_done:; + if (__pyx_t_2) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_short(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_2 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_2) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_short, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + goto __pyx_L33_break; + } + /*else*/ { + PyErr_Clear(); + } + } + __pyx_t_3 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L55_bool_binop_done; + } + __pyx_t_3 = ((__pyx_v_itemsize == (sizeof(int))) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L55_bool_binop_done:; + if (__pyx_t_2) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_int(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_2 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_2) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_int, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + goto __pyx_L33_break; + } + /*else*/ { + PyErr_Clear(); + } + } + __pyx_t_3 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L59_bool_binop_done; + } + __pyx_t_3 = ((__pyx_v_itemsize == (sizeof(long))) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L59_bool_binop_done:; + if (__pyx_t_2) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_long(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_2 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_2) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_long, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + goto __pyx_L33_break; + } + /*else*/ { + PyErr_Clear(); + } + } + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, Py_None, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + goto __pyx_L33_break; + } + __pyx_L33_break:; + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_candidates = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_5 = 0; + if (unlikely(__pyx_v_signatures == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_6 = __Pyx_dict_iterator(((PyObject*)__pyx_v_signatures), 1, ((PyObject *)NULL), (&__pyx_t_9), (&__pyx_t_10)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_1); + __pyx_t_1 = __pyx_t_6; + __pyx_t_6 = 0; + while (1) { + __pyx_t_11 = __Pyx_dict_iter_next(__pyx_t_1, __pyx_t_9, &__pyx_t_5, &__pyx_t_6, NULL, NULL, __pyx_t_10); + if (unlikely(__pyx_t_11 == 0)) break; + if (unlikely(__pyx_t_11 == -1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_XDECREF_SET(__pyx_v_sig, __pyx_t_6); + __pyx_t_6 = 0; + __pyx_v_match_found = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_sig, __pyx_n_s_strip); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_14 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_14)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_14); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_12 = (__pyx_t_14) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_14, __pyx_kp_s_) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_kp_s_); + __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0; + if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_split); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_6 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_kp_s__2) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_kp_s__2); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_XDECREF_SET(__pyx_v_src_sig, __pyx_t_6); + __pyx_t_6 = 0; + __pyx_t_15 = PyList_GET_SIZE(__pyx_v_dest_sig); if (unlikely(__pyx_t_15 == ((Py_ssize_t)-1))) __PYX_ERR(0, 431, __pyx_L1_error) + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_i = __pyx_t_17; + __pyx_t_6 = PyList_GET_ITEM(__pyx_v_dest_sig, __pyx_v_i); + __Pyx_INCREF(__pyx_t_6); + __Pyx_XDECREF_SET(__pyx_v_dst_type, __pyx_t_6); + __pyx_t_6 = 0; + __pyx_t_2 = (__pyx_v_dst_type != Py_None); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_6 = __Pyx_GetItemInt(__pyx_v_src_sig, __pyx_v_i, Py_ssize_t, 1, PyInt_FromSsize_t, 0, 0, 0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_13 = PyObject_RichCompare(__pyx_t_6, __pyx_v_dst_type, Py_EQ); __Pyx_XGOTREF(__pyx_t_13); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_13); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + if (__pyx_t_3) { + __pyx_v_match_found = 1; + goto __pyx_L67; + } + /*else*/ { + __pyx_v_match_found = 0; + goto __pyx_L65_break; + } + __pyx_L67:; + } + } + __pyx_L65_break:; + __pyx_t_3 = (__pyx_v_match_found != 0); + if (__pyx_t_3) { + __pyx_t_18 = __Pyx_PyList_Append(__pyx_v_candidates, __pyx_v_sig); if (unlikely(__pyx_t_18 == ((int)-1))) __PYX_ERR(0, 431, __pyx_L1_error) + } + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = (PyList_GET_SIZE(__pyx_v_candidates) != 0); + __pyx_t_2 = ((!__pyx_t_3) != 0); + if (__pyx_t_2) { + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__3, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_9 = PyList_GET_SIZE(__pyx_v_candidates); if (unlikely(__pyx_t_9 == ((Py_ssize_t)-1))) __PYX_ERR(0, 431, __pyx_L1_error) + __pyx_t_2 = ((__pyx_t_9 > 1) != 0); + if (__pyx_t_2) { + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__4, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(0, 431, __pyx_L1_error) + } + /*else*/ { + __Pyx_XDECREF(__pyx_r); + if (unlikely(__pyx_v_signatures == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 431, __pyx_L1_error) + } + __pyx_t_1 = __Pyx_PyDict_GetItem(((PyObject*)__pyx_v_signatures), PyList_GET_ITEM(__pyx_v_candidates, 0)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + } + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_12); + __Pyx_XDECREF(__pyx_t_13); + __Pyx_XDECREF(__pyx_t_14); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.__pyx_fused_cpdef", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_dest_sig); + __Pyx_XDECREF(__pyx_v_ndarray); + __Pyx_XDECREF(__pyx_v_arg); + __Pyx_XDECREF(__pyx_v_dtype); + __Pyx_XDECREF(__pyx_v_arg_base); + __Pyx_XDECREF(__pyx_v_candidates); + __Pyx_XDECREF(__pyx_v_sig); + __Pyx_XDECREF(__pyx_v_src_sig); + __Pyx_XDECREF(__pyx_v_dst_type); + __Pyx_XDECREF(__pyx_v_kwargs); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_0_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_49_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_0_0__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_49_get_loss = {"__pyx_fuse_0_0_get_loss", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_0_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_49_get_loss, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_fuse_0_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_49_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + int __pyx_v_num_threads; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_get_loss (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_num_threads,&__pyx_n_s_A,&__pyx_n_s_A_uids,&__pyx_n_s_A_iids,&__pyx_n_s_U1,&__pyx_n_s_U2,&__pyx_n_s_V,&__pyx_n_s_H1,&__pyx_n_s_H2,0}; + PyObject* values[10] = {0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 1); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 2); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 3); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 4); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 5); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 6); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_V)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 7); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 8); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 9); __PYX_ERR(0, 431, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_get_loss") < 0)) __PYX_ERR(0, 431, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 10) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + } + __pyx_v_self = values[0]; + __pyx_v_num_threads = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_num_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[2], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_A_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[3], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_uids.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_A_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[4], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_iids.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_U1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[5], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U1.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_U2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[6], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U2.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_V = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[7], PyBUF_WRITABLE); if (unlikely(!__pyx_v_V.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_H1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H1.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_H2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H2.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._get_loss", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_48_get_loss(__pyx_self, __pyx_v_self, __pyx_v_num_threads, __pyx_v_A, __pyx_v_A_uids, __pyx_v_A_iids, __pyx_v_U1, __pyx_v_U2, __pyx_v_V, __pyx_v_H1, __pyx_v_H2); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_48_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2) { + int __pyx_v_num_explicit_factors; + int __pyx_v_num_latent_factors; + float __pyx_v_prediction; + float __pyx_v_score; + float __pyx_v_loss; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_idx; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + Py_ssize_t __pyx_t_3; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + Py_ssize_t __pyx_t_6; + Py_ssize_t __pyx_t_7; + Py_ssize_t __pyx_t_8; + Py_ssize_t __pyx_t_9; + Py_ssize_t __pyx_t_10; + Py_ssize_t __pyx_t_11; + Py_ssize_t __pyx_t_12; + Py_ssize_t __pyx_t_13; + int __pyx_t_14; + PyObject *__pyx_t_15 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_0_0_get_loss", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":435 + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + * cdef: + * int num_explicit_factors = self.num_explicit_factors # <<<<<<<<<<<<<< + * int num_latent_factors = self.num_latent_factors + * floating prediction, score, loss + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_explicit_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":436 + * cdef: + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors # <<<<<<<<<<<<<< + * floating prediction, score, loss + * int i, j, idx + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_latent_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":440 + * int i, j, idx + * + * loss = 0. # <<<<<<<<<<<<<< + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): + */ + __pyx_v_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":441 + * + * loss = 0. + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel reduction(+:__pyx_v_loss) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_num_threads) + #endif /* _OPENMP */ + { + #ifdef _OPENMP + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + Py_BEGIN_ALLOW_THREADS + #endif /* _OPENMP */ + + /* "cornac/models/comparer/recom_comparer_obj.pyx":442 + * loss = 0. + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): # <<<<<<<<<<<<<< + * i = A_uids[idx] + * j = A_iids[idx] + */ + if (unlikely(!__pyx_v_A.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("A"); __PYX_ERR(0, 442, __pyx_L8_error) } + __pyx_t_3 = (__pyx_v_A.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_5 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_5 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_5; __pyx_t_4++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_4); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_prediction = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":443 + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): + * i = A_uids[idx] # <<<<<<<<<<<<<< + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + */ + __pyx_t_6 = __pyx_v_idx; + __pyx_v_i = (*((short *) ( /* dim=0 */ (__pyx_v_A_uids.data + __pyx_t_6 * __pyx_v_A_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":444 + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + * j = A_iids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + */ + __pyx_t_6 = __pyx_v_idx; + __pyx_v_j = (*((short *) ( /* dim=0 */ (__pyx_v_A_iids.data + __pyx_t_6 * __pyx_v_A_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":445 + * i = A_uids[idx] + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ # <<<<<<<<<<<<<< + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + */ + __pyx_t_6 = __pyx_v_i; + __pyx_t_7 = 0; + __pyx_t_8 = __pyx_v_j; + __pyx_t_9 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":446 + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) # <<<<<<<<<<<<<< + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + */ + __pyx_t_10 = __pyx_v_i; + __pyx_t_11 = 0; + __pyx_t_12 = __pyx_v_j; + __pyx_t_13 = 0; + __pyx_v_prediction = (__pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_6 * __pyx_v_U1.strides[0]) ) + __pyx_t_7 * __pyx_v_U1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_8 * __pyx_v_U2.strides[0]) ) + __pyx_t_9 * __pyx_v_U2.strides[1]) )))), 1) + __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_latent_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_10 * __pyx_v_H1.strides[0]) ) + __pyx_t_11 * __pyx_v_H1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_12 * __pyx_v_H2.strides[0]) ) + __pyx_t_13 * __pyx_v_H2.strides[1]) )))), 1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":447 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] # <<<<<<<<<<<<<< + * loss += (prediction - score) * (prediction - score) + * + */ + __pyx_t_13 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_A.data + __pyx_t_13 * __pyx_v_A.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":448 + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + * loss += (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_prediction - __pyx_v_score) * (__pyx_v_prediction - __pyx_v_score))); + } + } + } + } + goto __pyx_L17; + __pyx_L8_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L17; + __pyx_L17:; + #ifdef _OPENMP + Py_END_ALLOW_THREADS + #else +{ +#ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #endif /* _OPENMP */ + /* Clean up any temporaries */ + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + #ifndef _OPENMP +} +#endif /* _OPENMP */ + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L4_error; + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":441 + * + * loss = 0. + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L5; + } + __pyx_L4_error: { + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L1_error; + } + __pyx_L5:; + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":450 + * loss += (prediction - score) * (prediction - score) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('loss:', loss) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 450, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_14 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_14 < 0)) __PYX_ERR(0, 450, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_14) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":451 + * + * if self.verbose: + * print('loss:', loss) # <<<<<<<<<<<<<< + * + * return loss + */ + __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_15 = PyTuple_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_15); + __Pyx_INCREF(__pyx_kp_u_loss_2); + __Pyx_GIVEREF(__pyx_kp_u_loss_2); + PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_kp_u_loss_2); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_t_15, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":450 + * loss += (prediction - score) * (prediction - score) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('loss:', loss) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":453 + * print('loss:', loss) + * + * return loss # <<<<<<<<<<<<<< + * + * def _build_rating_matrix(self, data_set): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 453, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":431 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _get_loss(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_15); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._get_loss", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_V, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H2, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_0_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_51_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_0_1__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_51_get_loss = {"__pyx_fuse_0_1_get_loss", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_0_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_51_get_loss, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_fuse_0_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_51_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + int __pyx_v_num_threads; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_get_loss (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_num_threads,&__pyx_n_s_A,&__pyx_n_s_A_uids,&__pyx_n_s_A_iids,&__pyx_n_s_U1,&__pyx_n_s_U2,&__pyx_n_s_V,&__pyx_n_s_H1,&__pyx_n_s_H2,0}; + PyObject* values[10] = {0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 1); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 2); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 3); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 4); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 5); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 6); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_V)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 7); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 8); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 9); __PYX_ERR(0, 431, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_get_loss") < 0)) __PYX_ERR(0, 431, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 10) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + } + __pyx_v_self = values[0]; + __pyx_v_num_threads = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_num_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[2], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_A_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[3], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_uids.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_A_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[4], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_iids.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_U1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[5], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U1.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_U2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[6], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U2.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_V = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[7], PyBUF_WRITABLE); if (unlikely(!__pyx_v_V.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_H1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H1.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_H2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H2.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._get_loss", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_50_get_loss(__pyx_self, __pyx_v_self, __pyx_v_num_threads, __pyx_v_A, __pyx_v_A_uids, __pyx_v_A_iids, __pyx_v_U1, __pyx_v_U2, __pyx_v_V, __pyx_v_H1, __pyx_v_H2); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_50_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2) { + int __pyx_v_num_explicit_factors; + int __pyx_v_num_latent_factors; + float __pyx_v_prediction; + float __pyx_v_score; + float __pyx_v_loss; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_idx; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + Py_ssize_t __pyx_t_3; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + Py_ssize_t __pyx_t_6; + Py_ssize_t __pyx_t_7; + Py_ssize_t __pyx_t_8; + Py_ssize_t __pyx_t_9; + Py_ssize_t __pyx_t_10; + Py_ssize_t __pyx_t_11; + Py_ssize_t __pyx_t_12; + Py_ssize_t __pyx_t_13; + int __pyx_t_14; + PyObject *__pyx_t_15 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_0_1_get_loss", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":435 + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + * cdef: + * int num_explicit_factors = self.num_explicit_factors # <<<<<<<<<<<<<< + * int num_latent_factors = self.num_latent_factors + * floating prediction, score, loss + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_explicit_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":436 + * cdef: + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors # <<<<<<<<<<<<<< + * floating prediction, score, loss + * int i, j, idx + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_latent_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":440 + * int i, j, idx + * + * loss = 0. # <<<<<<<<<<<<<< + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): + */ + __pyx_v_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":441 + * + * loss = 0. + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel reduction(+:__pyx_v_loss) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_num_threads) + #endif /* _OPENMP */ + { + #ifdef _OPENMP + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + Py_BEGIN_ALLOW_THREADS + #endif /* _OPENMP */ + + /* "cornac/models/comparer/recom_comparer_obj.pyx":442 + * loss = 0. + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): # <<<<<<<<<<<<<< + * i = A_uids[idx] + * j = A_iids[idx] + */ + if (unlikely(!__pyx_v_A.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("A"); __PYX_ERR(0, 442, __pyx_L8_error) } + __pyx_t_3 = (__pyx_v_A.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_5 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_5 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_5; __pyx_t_4++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_4); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_prediction = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":443 + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): + * i = A_uids[idx] # <<<<<<<<<<<<<< + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + */ + __pyx_t_6 = __pyx_v_idx; + __pyx_v_i = (*((int *) ( /* dim=0 */ (__pyx_v_A_uids.data + __pyx_t_6 * __pyx_v_A_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":444 + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + * j = A_iids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + */ + __pyx_t_6 = __pyx_v_idx; + __pyx_v_j = (*((int *) ( /* dim=0 */ (__pyx_v_A_iids.data + __pyx_t_6 * __pyx_v_A_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":445 + * i = A_uids[idx] + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ # <<<<<<<<<<<<<< + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + */ + __pyx_t_6 = __pyx_v_i; + __pyx_t_7 = 0; + __pyx_t_8 = __pyx_v_j; + __pyx_t_9 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":446 + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) # <<<<<<<<<<<<<< + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + */ + __pyx_t_10 = __pyx_v_i; + __pyx_t_11 = 0; + __pyx_t_12 = __pyx_v_j; + __pyx_t_13 = 0; + __pyx_v_prediction = (__pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_6 * __pyx_v_U1.strides[0]) ) + __pyx_t_7 * __pyx_v_U1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_8 * __pyx_v_U2.strides[0]) ) + __pyx_t_9 * __pyx_v_U2.strides[1]) )))), 1) + __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_latent_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_10 * __pyx_v_H1.strides[0]) ) + __pyx_t_11 * __pyx_v_H1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_12 * __pyx_v_H2.strides[0]) ) + __pyx_t_13 * __pyx_v_H2.strides[1]) )))), 1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":447 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] # <<<<<<<<<<<<<< + * loss += (prediction - score) * (prediction - score) + * + */ + __pyx_t_13 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_A.data + __pyx_t_13 * __pyx_v_A.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":448 + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + * loss += (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_prediction - __pyx_v_score) * (__pyx_v_prediction - __pyx_v_score))); + } + } + } + } + goto __pyx_L17; + __pyx_L8_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L17; + __pyx_L17:; + #ifdef _OPENMP + Py_END_ALLOW_THREADS + #else +{ +#ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #endif /* _OPENMP */ + /* Clean up any temporaries */ + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + #ifndef _OPENMP +} +#endif /* _OPENMP */ + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L4_error; + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":441 + * + * loss = 0. + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L5; + } + __pyx_L4_error: { + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L1_error; + } + __pyx_L5:; + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":450 + * loss += (prediction - score) * (prediction - score) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('loss:', loss) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 450, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_14 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_14 < 0)) __PYX_ERR(0, 450, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_14) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":451 + * + * if self.verbose: + * print('loss:', loss) # <<<<<<<<<<<<<< + * + * return loss + */ + __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_15 = PyTuple_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_15); + __Pyx_INCREF(__pyx_kp_u_loss_2); + __Pyx_GIVEREF(__pyx_kp_u_loss_2); + PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_kp_u_loss_2); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_t_15, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":450 + * loss += (prediction - score) * (prediction - score) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('loss:', loss) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":453 + * print('loss:', loss) + * + * return loss # <<<<<<<<<<<<<< + * + * def _build_rating_matrix(self, data_set): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 453, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":431 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _get_loss(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_15); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._get_loss", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_V, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H2, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_0_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_53_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_0_2__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_53_get_loss = {"__pyx_fuse_0_2_get_loss", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_0_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_53_get_loss, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_fuse_0_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_53_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + int __pyx_v_num_threads; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_get_loss (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_num_threads,&__pyx_n_s_A,&__pyx_n_s_A_uids,&__pyx_n_s_A_iids,&__pyx_n_s_U1,&__pyx_n_s_U2,&__pyx_n_s_V,&__pyx_n_s_H1,&__pyx_n_s_H2,0}; + PyObject* values[10] = {0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 1); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 2); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 3); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 4); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 5); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 6); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_V)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 7); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 8); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 9); __PYX_ERR(0, 431, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_get_loss") < 0)) __PYX_ERR(0, 431, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 10) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + } + __pyx_v_self = values[0]; + __pyx_v_num_threads = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_num_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[2], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_A_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[3], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_uids.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_A_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[4], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_iids.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_U1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[5], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U1.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_U2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[6], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U2.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_V = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[7], PyBUF_WRITABLE); if (unlikely(!__pyx_v_V.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_H1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H1.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_H2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H2.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._get_loss", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_52_get_loss(__pyx_self, __pyx_v_self, __pyx_v_num_threads, __pyx_v_A, __pyx_v_A_uids, __pyx_v_A_iids, __pyx_v_U1, __pyx_v_U2, __pyx_v_V, __pyx_v_H1, __pyx_v_H2); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_52_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2) { + int __pyx_v_num_explicit_factors; + int __pyx_v_num_latent_factors; + float __pyx_v_prediction; + float __pyx_v_score; + float __pyx_v_loss; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_idx; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + Py_ssize_t __pyx_t_3; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + Py_ssize_t __pyx_t_6; + Py_ssize_t __pyx_t_7; + Py_ssize_t __pyx_t_8; + Py_ssize_t __pyx_t_9; + Py_ssize_t __pyx_t_10; + Py_ssize_t __pyx_t_11; + Py_ssize_t __pyx_t_12; + Py_ssize_t __pyx_t_13; + int __pyx_t_14; + PyObject *__pyx_t_15 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_0_2_get_loss", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":435 + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + * cdef: + * int num_explicit_factors = self.num_explicit_factors # <<<<<<<<<<<<<< + * int num_latent_factors = self.num_latent_factors + * floating prediction, score, loss + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_explicit_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":436 + * cdef: + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors # <<<<<<<<<<<<<< + * floating prediction, score, loss + * int i, j, idx + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_latent_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":440 + * int i, j, idx + * + * loss = 0. # <<<<<<<<<<<<<< + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): + */ + __pyx_v_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":441 + * + * loss = 0. + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel reduction(+:__pyx_v_loss) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_num_threads) + #endif /* _OPENMP */ + { + #ifdef _OPENMP + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + Py_BEGIN_ALLOW_THREADS + #endif /* _OPENMP */ + + /* "cornac/models/comparer/recom_comparer_obj.pyx":442 + * loss = 0. + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): # <<<<<<<<<<<<<< + * i = A_uids[idx] + * j = A_iids[idx] + */ + if (unlikely(!__pyx_v_A.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("A"); __PYX_ERR(0, 442, __pyx_L8_error) } + __pyx_t_3 = (__pyx_v_A.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_5 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_5 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_5; __pyx_t_4++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_4); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_prediction = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":443 + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): + * i = A_uids[idx] # <<<<<<<<<<<<<< + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + */ + __pyx_t_6 = __pyx_v_idx; + __pyx_v_i = (*((long *) ( /* dim=0 */ (__pyx_v_A_uids.data + __pyx_t_6 * __pyx_v_A_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":444 + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + * j = A_iids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + */ + __pyx_t_6 = __pyx_v_idx; + __pyx_v_j = (*((long *) ( /* dim=0 */ (__pyx_v_A_iids.data + __pyx_t_6 * __pyx_v_A_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":445 + * i = A_uids[idx] + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ # <<<<<<<<<<<<<< + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + */ + __pyx_t_6 = __pyx_v_i; + __pyx_t_7 = 0; + __pyx_t_8 = __pyx_v_j; + __pyx_t_9 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":446 + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) # <<<<<<<<<<<<<< + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + */ + __pyx_t_10 = __pyx_v_i; + __pyx_t_11 = 0; + __pyx_t_12 = __pyx_v_j; + __pyx_t_13 = 0; + __pyx_v_prediction = (__pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_6 * __pyx_v_U1.strides[0]) ) + __pyx_t_7 * __pyx_v_U1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_8 * __pyx_v_U2.strides[0]) ) + __pyx_t_9 * __pyx_v_U2.strides[1]) )))), 1) + __pyx_fuse_0__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_latent_factors, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_10 * __pyx_v_H1.strides[0]) ) + __pyx_t_11 * __pyx_v_H1.strides[1]) )))), 1, (&(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_12 * __pyx_v_H2.strides[0]) ) + __pyx_t_13 * __pyx_v_H2.strides[1]) )))), 1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":447 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] # <<<<<<<<<<<<<< + * loss += (prediction - score) * (prediction - score) + * + */ + __pyx_t_13 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_A.data + __pyx_t_13 * __pyx_v_A.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":448 + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + * loss += (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_prediction - __pyx_v_score) * (__pyx_v_prediction - __pyx_v_score))); + } + } + } + } + goto __pyx_L17; + __pyx_L8_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L17; + __pyx_L17:; + #ifdef _OPENMP + Py_END_ALLOW_THREADS + #else +{ +#ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #endif /* _OPENMP */ + /* Clean up any temporaries */ + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + #ifndef _OPENMP +} +#endif /* _OPENMP */ + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L4_error; + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":441 + * + * loss = 0. + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L5; + } + __pyx_L4_error: { + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L1_error; + } + __pyx_L5:; + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":450 + * loss += (prediction - score) * (prediction - score) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('loss:', loss) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 450, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_14 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_14 < 0)) __PYX_ERR(0, 450, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_14) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":451 + * + * if self.verbose: + * print('loss:', loss) # <<<<<<<<<<<<<< + * + * return loss + */ + __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_15 = PyTuple_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_15); + __Pyx_INCREF(__pyx_kp_u_loss_2); + __Pyx_GIVEREF(__pyx_kp_u_loss_2); + PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_kp_u_loss_2); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_t_15, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":450 + * loss += (prediction - score) * (prediction - score) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('loss:', loss) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":453 + * print('loss:', loss) + * + * return loss # <<<<<<<<<<<<<< + * + * def _build_rating_matrix(self, data_set): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 453, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":431 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _get_loss(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_15); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._get_loss", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_V, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H2, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_1_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_55_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_1_0__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_55_get_loss = {"__pyx_fuse_1_0_get_loss", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_1_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_55_get_loss, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_fuse_1_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_55_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + int __pyx_v_num_threads; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_get_loss (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_num_threads,&__pyx_n_s_A,&__pyx_n_s_A_uids,&__pyx_n_s_A_iids,&__pyx_n_s_U1,&__pyx_n_s_U2,&__pyx_n_s_V,&__pyx_n_s_H1,&__pyx_n_s_H2,0}; + PyObject* values[10] = {0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 1); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 2); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 3); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 4); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 5); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 6); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_V)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 7); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 8); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 9); __PYX_ERR(0, 431, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_get_loss") < 0)) __PYX_ERR(0, 431, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 10) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + } + __pyx_v_self = values[0]; + __pyx_v_num_threads = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_num_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[2], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_A_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[3], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_uids.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_A_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[4], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_iids.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_U1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[5], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U1.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_U2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[6], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U2.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_V = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[7], PyBUF_WRITABLE); if (unlikely(!__pyx_v_V.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_H1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H1.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_H2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H2.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._get_loss", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_54_get_loss(__pyx_self, __pyx_v_self, __pyx_v_num_threads, __pyx_v_A, __pyx_v_A_uids, __pyx_v_A_iids, __pyx_v_U1, __pyx_v_U2, __pyx_v_V, __pyx_v_H1, __pyx_v_H2); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_54_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2) { + int __pyx_v_num_explicit_factors; + int __pyx_v_num_latent_factors; + double __pyx_v_prediction; + double __pyx_v_score; + double __pyx_v_loss; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_idx; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + Py_ssize_t __pyx_t_3; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + Py_ssize_t __pyx_t_6; + Py_ssize_t __pyx_t_7; + Py_ssize_t __pyx_t_8; + Py_ssize_t __pyx_t_9; + Py_ssize_t __pyx_t_10; + Py_ssize_t __pyx_t_11; + Py_ssize_t __pyx_t_12; + Py_ssize_t __pyx_t_13; + int __pyx_t_14; + PyObject *__pyx_t_15 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_1_0_get_loss", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":435 + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + * cdef: + * int num_explicit_factors = self.num_explicit_factors # <<<<<<<<<<<<<< + * int num_latent_factors = self.num_latent_factors + * floating prediction, score, loss + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_explicit_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":436 + * cdef: + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors # <<<<<<<<<<<<<< + * floating prediction, score, loss + * int i, j, idx + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_latent_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":440 + * int i, j, idx + * + * loss = 0. # <<<<<<<<<<<<<< + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): + */ + __pyx_v_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":441 + * + * loss = 0. + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel reduction(+:__pyx_v_loss) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_num_threads) + #endif /* _OPENMP */ + { + #ifdef _OPENMP + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + Py_BEGIN_ALLOW_THREADS + #endif /* _OPENMP */ + + /* "cornac/models/comparer/recom_comparer_obj.pyx":442 + * loss = 0. + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): # <<<<<<<<<<<<<< + * i = A_uids[idx] + * j = A_iids[idx] + */ + if (unlikely(!__pyx_v_A.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("A"); __PYX_ERR(0, 442, __pyx_L8_error) } + __pyx_t_3 = (__pyx_v_A.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_5 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_5 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_5; __pyx_t_4++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_4); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_prediction = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":443 + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): + * i = A_uids[idx] # <<<<<<<<<<<<<< + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + */ + __pyx_t_6 = __pyx_v_idx; + __pyx_v_i = (*((short *) ( /* dim=0 */ (__pyx_v_A_uids.data + __pyx_t_6 * __pyx_v_A_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":444 + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + * j = A_iids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + */ + __pyx_t_6 = __pyx_v_idx; + __pyx_v_j = (*((short *) ( /* dim=0 */ (__pyx_v_A_iids.data + __pyx_t_6 * __pyx_v_A_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":445 + * i = A_uids[idx] + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ # <<<<<<<<<<<<<< + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + */ + __pyx_t_6 = __pyx_v_i; + __pyx_t_7 = 0; + __pyx_t_8 = __pyx_v_j; + __pyx_t_9 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":446 + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) # <<<<<<<<<<<<<< + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + */ + __pyx_t_10 = __pyx_v_i; + __pyx_t_11 = 0; + __pyx_t_12 = __pyx_v_j; + __pyx_t_13 = 0; + __pyx_v_prediction = (__pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_6 * __pyx_v_U1.strides[0]) ) + __pyx_t_7 * __pyx_v_U1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_8 * __pyx_v_U2.strides[0]) ) + __pyx_t_9 * __pyx_v_U2.strides[1]) )))), 1) + __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_latent_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_10 * __pyx_v_H1.strides[0]) ) + __pyx_t_11 * __pyx_v_H1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_12 * __pyx_v_H2.strides[0]) ) + __pyx_t_13 * __pyx_v_H2.strides[1]) )))), 1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":447 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] # <<<<<<<<<<<<<< + * loss += (prediction - score) * (prediction - score) + * + */ + __pyx_t_13 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_A.data + __pyx_t_13 * __pyx_v_A.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":448 + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + * loss += (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_prediction - __pyx_v_score) * (__pyx_v_prediction - __pyx_v_score))); + } + } + } + } + goto __pyx_L17; + __pyx_L8_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L17; + __pyx_L17:; + #ifdef _OPENMP + Py_END_ALLOW_THREADS + #else +{ +#ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #endif /* _OPENMP */ + /* Clean up any temporaries */ + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + #ifndef _OPENMP +} +#endif /* _OPENMP */ + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L4_error; + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":441 + * + * loss = 0. + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L5; + } + __pyx_L4_error: { + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L1_error; + } + __pyx_L5:; + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":450 + * loss += (prediction - score) * (prediction - score) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('loss:', loss) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 450, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_14 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_14 < 0)) __PYX_ERR(0, 450, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_14) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":451 + * + * if self.verbose: + * print('loss:', loss) # <<<<<<<<<<<<<< + * + * return loss + */ + __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_15 = PyTuple_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_15); + __Pyx_INCREF(__pyx_kp_u_loss_2); + __Pyx_GIVEREF(__pyx_kp_u_loss_2); + PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_kp_u_loss_2); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_t_15, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":450 + * loss += (prediction - score) * (prediction - score) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('loss:', loss) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":453 + * print('loss:', loss) + * + * return loss # <<<<<<<<<<<<<< + * + * def _build_rating_matrix(self, data_set): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 453, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":431 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _get_loss(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_15); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._get_loss", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_V, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H2, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_1_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_57_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_1_1__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_57_get_loss = {"__pyx_fuse_1_1_get_loss", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_1_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_57_get_loss, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_fuse_1_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_57_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + int __pyx_v_num_threads; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_get_loss (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_num_threads,&__pyx_n_s_A,&__pyx_n_s_A_uids,&__pyx_n_s_A_iids,&__pyx_n_s_U1,&__pyx_n_s_U2,&__pyx_n_s_V,&__pyx_n_s_H1,&__pyx_n_s_H2,0}; + PyObject* values[10] = {0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 1); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 2); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 3); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 4); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 5); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 6); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_V)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 7); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 8); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 9); __PYX_ERR(0, 431, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_get_loss") < 0)) __PYX_ERR(0, 431, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 10) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + } + __pyx_v_self = values[0]; + __pyx_v_num_threads = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_num_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[2], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_A_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[3], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_uids.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_A_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[4], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_iids.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_U1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[5], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U1.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_U2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[6], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U2.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_V = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[7], PyBUF_WRITABLE); if (unlikely(!__pyx_v_V.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_H1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H1.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_H2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H2.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._get_loss", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_56_get_loss(__pyx_self, __pyx_v_self, __pyx_v_num_threads, __pyx_v_A, __pyx_v_A_uids, __pyx_v_A_iids, __pyx_v_U1, __pyx_v_U2, __pyx_v_V, __pyx_v_H1, __pyx_v_H2); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_56_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2) { + int __pyx_v_num_explicit_factors; + int __pyx_v_num_latent_factors; + double __pyx_v_prediction; + double __pyx_v_score; + double __pyx_v_loss; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_idx; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + Py_ssize_t __pyx_t_3; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + Py_ssize_t __pyx_t_6; + Py_ssize_t __pyx_t_7; + Py_ssize_t __pyx_t_8; + Py_ssize_t __pyx_t_9; + Py_ssize_t __pyx_t_10; + Py_ssize_t __pyx_t_11; + Py_ssize_t __pyx_t_12; + Py_ssize_t __pyx_t_13; + int __pyx_t_14; + PyObject *__pyx_t_15 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_1_1_get_loss", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":435 + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + * cdef: + * int num_explicit_factors = self.num_explicit_factors # <<<<<<<<<<<<<< + * int num_latent_factors = self.num_latent_factors + * floating prediction, score, loss + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_explicit_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":436 + * cdef: + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors # <<<<<<<<<<<<<< + * floating prediction, score, loss + * int i, j, idx + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_latent_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":440 + * int i, j, idx + * + * loss = 0. # <<<<<<<<<<<<<< + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): + */ + __pyx_v_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":441 + * + * loss = 0. + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel reduction(+:__pyx_v_loss) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_num_threads) + #endif /* _OPENMP */ + { + #ifdef _OPENMP + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + Py_BEGIN_ALLOW_THREADS + #endif /* _OPENMP */ + + /* "cornac/models/comparer/recom_comparer_obj.pyx":442 + * loss = 0. + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): # <<<<<<<<<<<<<< + * i = A_uids[idx] + * j = A_iids[idx] + */ + if (unlikely(!__pyx_v_A.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("A"); __PYX_ERR(0, 442, __pyx_L8_error) } + __pyx_t_3 = (__pyx_v_A.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_5 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_5 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_5; __pyx_t_4++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_4); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_prediction = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":443 + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): + * i = A_uids[idx] # <<<<<<<<<<<<<< + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + */ + __pyx_t_6 = __pyx_v_idx; + __pyx_v_i = (*((int *) ( /* dim=0 */ (__pyx_v_A_uids.data + __pyx_t_6 * __pyx_v_A_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":444 + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + * j = A_iids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + */ + __pyx_t_6 = __pyx_v_idx; + __pyx_v_j = (*((int *) ( /* dim=0 */ (__pyx_v_A_iids.data + __pyx_t_6 * __pyx_v_A_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":445 + * i = A_uids[idx] + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ # <<<<<<<<<<<<<< + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + */ + __pyx_t_6 = __pyx_v_i; + __pyx_t_7 = 0; + __pyx_t_8 = __pyx_v_j; + __pyx_t_9 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":446 + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) # <<<<<<<<<<<<<< + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + */ + __pyx_t_10 = __pyx_v_i; + __pyx_t_11 = 0; + __pyx_t_12 = __pyx_v_j; + __pyx_t_13 = 0; + __pyx_v_prediction = (__pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_6 * __pyx_v_U1.strides[0]) ) + __pyx_t_7 * __pyx_v_U1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_8 * __pyx_v_U2.strides[0]) ) + __pyx_t_9 * __pyx_v_U2.strides[1]) )))), 1) + __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_latent_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_10 * __pyx_v_H1.strides[0]) ) + __pyx_t_11 * __pyx_v_H1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_12 * __pyx_v_H2.strides[0]) ) + __pyx_t_13 * __pyx_v_H2.strides[1]) )))), 1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":447 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] # <<<<<<<<<<<<<< + * loss += (prediction - score) * (prediction - score) + * + */ + __pyx_t_13 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_A.data + __pyx_t_13 * __pyx_v_A.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":448 + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + * loss += (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_prediction - __pyx_v_score) * (__pyx_v_prediction - __pyx_v_score))); + } + } + } + } + goto __pyx_L17; + __pyx_L8_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L17; + __pyx_L17:; + #ifdef _OPENMP + Py_END_ALLOW_THREADS + #else +{ +#ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #endif /* _OPENMP */ + /* Clean up any temporaries */ + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + #ifndef _OPENMP +} +#endif /* _OPENMP */ + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L4_error; + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":441 + * + * loss = 0. + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L5; + } + __pyx_L4_error: { + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L1_error; + } + __pyx_L5:; + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":450 + * loss += (prediction - score) * (prediction - score) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('loss:', loss) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 450, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_14 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_14 < 0)) __PYX_ERR(0, 450, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_14) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":451 + * + * if self.verbose: + * print('loss:', loss) # <<<<<<<<<<<<<< + * + * return loss + */ + __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_15 = PyTuple_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_15); + __Pyx_INCREF(__pyx_kp_u_loss_2); + __Pyx_GIVEREF(__pyx_kp_u_loss_2); + PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_kp_u_loss_2); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_t_15, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":450 + * loss += (prediction - score) * (prediction - score) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('loss:', loss) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":453 + * print('loss:', loss) + * + * return loss # <<<<<<<<<<<<<< + * + * def _build_rating_matrix(self, data_set): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 453, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":431 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _get_loss(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_15); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._get_loss", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_V, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H2, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_1_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_59_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_1_2__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_59_get_loss = {"__pyx_fuse_1_2_get_loss", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_1_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_59_get_loss, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_fuse_1_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_59_get_loss(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + int __pyx_v_num_threads; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_H2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_get_loss (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_num_threads,&__pyx_n_s_A,&__pyx_n_s_A_uids,&__pyx_n_s_A_iids,&__pyx_n_s_U1,&__pyx_n_s_U2,&__pyx_n_s_V,&__pyx_n_s_H1,&__pyx_n_s_H2,0}; + PyObject* values[10] = {0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_num_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 1); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 2); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 3); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 4); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 5); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 6); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_V)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 7); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 8); __PYX_ERR(0, 431, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_H2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, 9); __PYX_ERR(0, 431, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_get_loss") < 0)) __PYX_ERR(0, 431, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 10) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + } + __pyx_v_self = values[0]; + __pyx_v_num_threads = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_num_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[2], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_A_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[3], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_uids.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_A_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[4], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A_iids.memview)) __PYX_ERR(0, 432, __pyx_L3_error) + __pyx_v_U1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[5], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U1.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_U2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[6], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U2.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_V = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[7], PyBUF_WRITABLE); if (unlikely(!__pyx_v_V.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_H1 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H1.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + __pyx_v_H2 = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_H2.memview)) __PYX_ERR(0, 433, __pyx_L3_error) + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_get_loss", 1, 10, 10, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 431, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._get_loss", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_58_get_loss(__pyx_self, __pyx_v_self, __pyx_v_num_threads, __pyx_v_A, __pyx_v_A_uids, __pyx_v_A_iids, __pyx_v_U1, __pyx_v_U2, __pyx_v_V, __pyx_v_H1, __pyx_v_H2); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_58_get_loss(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, int __pyx_v_num_threads, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_A_uids, __Pyx_memviewslice __pyx_v_A_iids, __Pyx_memviewslice __pyx_v_U1, __Pyx_memviewslice __pyx_v_U2, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_V, __Pyx_memviewslice __pyx_v_H1, __Pyx_memviewslice __pyx_v_H2) { + int __pyx_v_num_explicit_factors; + int __pyx_v_num_latent_factors; + double __pyx_v_prediction; + double __pyx_v_score; + double __pyx_v_loss; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_idx; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + Py_ssize_t __pyx_t_3; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + Py_ssize_t __pyx_t_6; + Py_ssize_t __pyx_t_7; + Py_ssize_t __pyx_t_8; + Py_ssize_t __pyx_t_9; + Py_ssize_t __pyx_t_10; + Py_ssize_t __pyx_t_11; + Py_ssize_t __pyx_t_12; + Py_ssize_t __pyx_t_13; + int __pyx_t_14; + PyObject *__pyx_t_15 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_1_2_get_loss", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":435 + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + * cdef: + * int num_explicit_factors = self.num_explicit_factors # <<<<<<<<<<<<<< + * int num_latent_factors = self.num_latent_factors + * floating prediction, score, loss + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_explicit_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_explicit_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":436 + * cdef: + * int num_explicit_factors = self.num_explicit_factors + * int num_latent_factors = self.num_latent_factors # <<<<<<<<<<<<<< + * floating prediction, score, loss + * int i, j, idx + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_latent_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_latent_factors = __pyx_t_2; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":440 + * int i, j, idx + * + * loss = 0. # <<<<<<<<<<<<<< + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): + */ + __pyx_v_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":441 + * + * loss = 0. + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + const char *__pyx_parallel_filename = NULL; int __pyx_parallel_lineno = 0, __pyx_parallel_clineno = 0; + PyObject *__pyx_parallel_exc_type = NULL, *__pyx_parallel_exc_value = NULL, *__pyx_parallel_exc_tb = NULL; + int __pyx_parallel_why; + __pyx_parallel_why = 0; + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel reduction(+:__pyx_v_loss) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_num_threads) + #endif /* _OPENMP */ + { + #ifdef _OPENMP + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + Py_BEGIN_ALLOW_THREADS + #endif /* _OPENMP */ + + /* "cornac/models/comparer/recom_comparer_obj.pyx":442 + * loss = 0. + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): # <<<<<<<<<<<<<< + * i = A_uids[idx] + * j = A_iids[idx] + */ + if (unlikely(!__pyx_v_A.memview)) { __Pyx_RaiseUnboundMemoryviewSliceNogil("A"); __PYX_ERR(0, 442, __pyx_L8_error) } + __pyx_t_3 = (__pyx_v_A.shape[0]); + if ((1 == 0)) abort(); + { + __pyx_t_5 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_5 > 0) + { + #ifdef _OPENMP + #pragma omp for lastprivate(__pyx_v_i) firstprivate(__pyx_v_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_prediction) lastprivate(__pyx_v_score) + #endif /* _OPENMP */ + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_5; __pyx_t_4++){ + { + __pyx_v_idx = (int)(0 + 1 * __pyx_t_4); + /* Initialize private variables to invalid values */ + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_prediction = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":443 + * with nogil, parallel(num_threads=num_threads): + * for idx in prange(A.shape[0]): + * i = A_uids[idx] # <<<<<<<<<<<<<< + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + */ + __pyx_t_6 = __pyx_v_idx; + __pyx_v_i = (*((long *) ( /* dim=0 */ (__pyx_v_A_uids.data + __pyx_t_6 * __pyx_v_A_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":444 + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + * j = A_iids[idx] # <<<<<<<<<<<<<< + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + */ + __pyx_t_6 = __pyx_v_idx; + __pyx_v_j = (*((long *) ( /* dim=0 */ (__pyx_v_A_iids.data + __pyx_t_6 * __pyx_v_A_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":445 + * i = A_uids[idx] + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ # <<<<<<<<<<<<<< + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + */ + __pyx_t_6 = __pyx_v_i; + __pyx_t_7 = 0; + __pyx_t_8 = __pyx_v_j; + __pyx_t_9 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":446 + * j = A_iids[idx] + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) # <<<<<<<<<<<<<< + * score = A[idx] + * loss += (prediction - score) * (prediction - score) + */ + __pyx_t_10 = __pyx_v_i; + __pyx_t_11 = 0; + __pyx_t_12 = __pyx_v_j; + __pyx_t_13 = 0; + __pyx_v_prediction = (__pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_explicit_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U1.data + __pyx_t_6 * __pyx_v_U1.strides[0]) ) + __pyx_t_7 * __pyx_v_U1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U2.data + __pyx_t_8 * __pyx_v_U2.strides[0]) ) + __pyx_t_9 * __pyx_v_U2.strides[1]) )))), 1) + __pyx_fuse_1__pyx_f_6cornac_6models_8comparer_18recom_comparer_obj__dot(__pyx_v_num_latent_factors, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H1.data + __pyx_t_10 * __pyx_v_H1.strides[0]) ) + __pyx_t_11 * __pyx_v_H1.strides[1]) )))), 1, (&(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_H2.data + __pyx_t_12 * __pyx_v_H2.strides[0]) ) + __pyx_t_13 * __pyx_v_H2.strides[1]) )))), 1)); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":447 + * prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] # <<<<<<<<<<<<<< + * loss += (prediction - score) * (prediction - score) + * + */ + __pyx_t_13 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_A.data + __pyx_t_13 * __pyx_v_A.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":448 + * + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + * score = A[idx] + * loss += (prediction - score) * (prediction - score) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_prediction - __pyx_v_score) * (__pyx_v_prediction - __pyx_v_score))); + } + } + } + } + goto __pyx_L17; + __pyx_L8_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #ifdef _OPENMP + #pragma omp flush(__pyx_parallel_exc_type) + #endif /* _OPENMP */ + if (!__pyx_parallel_exc_type) { + __Pyx_ErrFetchWithState(&__pyx_parallel_exc_type, &__pyx_parallel_exc_value, &__pyx_parallel_exc_tb); + __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; + __Pyx_GOTREF(__pyx_parallel_exc_type); + } + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_parallel_why = 4; + goto __pyx_L17; + __pyx_L17:; + #ifdef _OPENMP + Py_END_ALLOW_THREADS + #else +{ +#ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + #endif /* _OPENMP */ + /* Clean up any temporaries */ + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + #ifndef _OPENMP +} +#endif /* _OPENMP */ + } + if (__pyx_parallel_exc_type) { + /* This may have been overridden by a continue, break or return in another thread. Prefer the error. */ + __pyx_parallel_why = 4; + } + if (__pyx_parallel_why) { + switch (__pyx_parallel_why) { + case 4: + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_GIVEREF(__pyx_parallel_exc_type); + __Pyx_ErrRestoreWithState(__pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb); + __pyx_filename = __pyx_parallel_filename; __pyx_lineno = __pyx_parallel_lineno; __pyx_clineno = __pyx_parallel_clineno; + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + goto __pyx_L4_error; + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":441 + * + * loss = 0. + * with nogil, parallel(num_threads=num_threads): # <<<<<<<<<<<<<< + * for idx in prange(A.shape[0]): + * i = A_uids[idx] + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L5; + } + __pyx_L4_error: { + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L1_error; + } + __pyx_L5:; + } + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":450 + * loss += (prediction - score) * (prediction - score) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('loss:', loss) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 450, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_14 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_14 < 0)) __PYX_ERR(0, 450, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_14) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":451 + * + * if self.verbose: + * print('loss:', loss) # <<<<<<<<<<<<<< + * + * return loss + */ + __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_15 = PyTuple_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_15); + __Pyx_INCREF(__pyx_kp_u_loss_2); + __Pyx_GIVEREF(__pyx_kp_u_loss_2); + PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_kp_u_loss_2); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_t_15, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 451, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":450 + * loss += (prediction - score) * (prediction - score) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('loss:', loss) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":453 + * print('loss:', loss) + * + * return loss # <<<<<<<<<<<<<< + * + * def _build_rating_matrix(self, data_set): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 453, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":431 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _get_loss(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_15); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._get_loss", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_V, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_H2, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":455 + * return loss + * + * def _build_rating_matrix(self, data_set): # <<<<<<<<<<<<<< + * start_time = time() + * ratings = [] + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_15_build_rating_matrix(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_15_build_rating_matrix = {"_build_rating_matrix", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_15_build_rating_matrix, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_15_build_rating_matrix(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_data_set = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_build_rating_matrix (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_data_set,0}; + PyObject* values[2] = {0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_data_set)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_rating_matrix", 1, 2, 2, 1); __PYX_ERR(0, 455, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_build_rating_matrix") < 0)) __PYX_ERR(0, 455, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 2) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + } + __pyx_v_self = values[0]; + __pyx_v_data_set = values[1]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_build_rating_matrix", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 455, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._build_rating_matrix", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_14_build_rating_matrix(__pyx_self, __pyx_v_self, __pyx_v_data_set); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_14_build_rating_matrix(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_data_set) { + PyObject *__pyx_v_start_time = NULL; + PyObject *__pyx_v_ratings = NULL; + PyObject *__pyx_v_map_uid = NULL; + PyObject *__pyx_v_map_iid = NULL; + PyObject *__pyx_v_uid = NULL; + PyObject *__pyx_v_iid = NULL; + PyObject *__pyx_v_rating = NULL; + PyObject *__pyx_v_rating_matrix = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + int __pyx_t_5; + Py_ssize_t __pyx_t_6; + PyObject *(*__pyx_t_7)(PyObject *); + PyObject *__pyx_t_8 = NULL; + PyObject *__pyx_t_9 = NULL; + PyObject *__pyx_t_10 = NULL; + PyObject *(*__pyx_t_11)(PyObject *); + int __pyx_t_12; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_build_rating_matrix", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":456 + * + * def _build_rating_matrix(self, data_set): + * start_time = time() # <<<<<<<<<<<<<< + * ratings = [] + * map_uid = [] + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_time); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 456, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 456, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_start_time = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":457 + * def _build_rating_matrix(self, data_set): + * start_time = time() + * ratings = [] # <<<<<<<<<<<<<< + * map_uid = [] + * map_iid = [] + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 457, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_ratings = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":458 + * start_time = time() + * ratings = [] + * map_uid = [] # <<<<<<<<<<<<<< + * map_iid = [] + * + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 458, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_map_uid = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":459 + * ratings = [] + * map_uid = [] + * map_iid = [] # <<<<<<<<<<<<<< + * + * if data_set is not None: + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 459, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_map_iid = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":461 + * map_iid = [] + * + * if data_set is not None: # <<<<<<<<<<<<<< + * for uid, iid, rating in data_set.uir_iter(): + * if self.train_set.is_unk_user(uid) or self.train_set.is_unk_item(iid): + */ + __pyx_t_4 = (__pyx_v_data_set != Py_None); + __pyx_t_5 = (__pyx_t_4 != 0); + if (__pyx_t_5) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":462 + * + * if data_set is not None: + * for uid, iid, rating in data_set.uir_iter(): # <<<<<<<<<<<<<< + * if self.train_set.is_unk_user(uid) or self.train_set.is_unk_item(iid): + * continue + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_data_set, __pyx_n_s_uir_iter); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 462, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 462, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (likely(PyList_CheckExact(__pyx_t_1)) || PyTuple_CheckExact(__pyx_t_1)) { + __pyx_t_2 = __pyx_t_1; __Pyx_INCREF(__pyx_t_2); __pyx_t_6 = 0; + __pyx_t_7 = NULL; + } else { + __pyx_t_6 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 462, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_7 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 462, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + for (;;) { + if (likely(!__pyx_t_7)) { + if (likely(PyList_CheckExact(__pyx_t_2))) { + if (__pyx_t_6 >= PyList_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_1 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_6); __Pyx_INCREF(__pyx_t_1); __pyx_t_6++; if (unlikely(0 < 0)) __PYX_ERR(0, 462, __pyx_L1_error) + #else + __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_6); __pyx_t_6++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 462, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + #endif + } else { + if (__pyx_t_6 >= PyTuple_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_6); __Pyx_INCREF(__pyx_t_1); __pyx_t_6++; if (unlikely(0 < 0)) __PYX_ERR(0, 462, __pyx_L1_error) + #else + __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_6); __pyx_t_6++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 462, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + #endif + } + } else { + __pyx_t_1 = __pyx_t_7(__pyx_t_2); + if (unlikely(!__pyx_t_1)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 462, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_1); + } + if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) { + PyObject* sequence = __pyx_t_1; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 3)) { + if (size > 3) __Pyx_RaiseTooManyValuesError(3); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 462, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_8 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_9 = PyTuple_GET_ITEM(sequence, 2); + } else { + __pyx_t_3 = PyList_GET_ITEM(sequence, 0); + __pyx_t_8 = PyList_GET_ITEM(sequence, 1); + __pyx_t_9 = PyList_GET_ITEM(sequence, 2); + } + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(__pyx_t_9); + #else + __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 462, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 462, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_9 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 462, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + #endif + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_10 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 462, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_11 = Py_TYPE(__pyx_t_10)->tp_iternext; + index = 0; __pyx_t_3 = __pyx_t_11(__pyx_t_10); if (unlikely(!__pyx_t_3)) goto __pyx_L6_unpacking_failed; + __Pyx_GOTREF(__pyx_t_3); + index = 1; __pyx_t_8 = __pyx_t_11(__pyx_t_10); if (unlikely(!__pyx_t_8)) goto __pyx_L6_unpacking_failed; + __Pyx_GOTREF(__pyx_t_8); + index = 2; __pyx_t_9 = __pyx_t_11(__pyx_t_10); if (unlikely(!__pyx_t_9)) goto __pyx_L6_unpacking_failed; + __Pyx_GOTREF(__pyx_t_9); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_11(__pyx_t_10), 3) < 0) __PYX_ERR(0, 462, __pyx_L1_error) + __pyx_t_11 = NULL; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + goto __pyx_L7_unpacking_done; + __pyx_L6_unpacking_failed:; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_11 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 462, __pyx_L1_error) + __pyx_L7_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_uid, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_XDECREF_SET(__pyx_v_iid, __pyx_t_8); + __pyx_t_8 = 0; + __Pyx_XDECREF_SET(__pyx_v_rating, __pyx_t_9); + __pyx_t_9 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":463 + * if data_set is not None: + * for uid, iid, rating in data_set.uir_iter(): + * if self.train_set.is_unk_user(uid) or self.train_set.is_unk_item(iid): # <<<<<<<<<<<<<< + * continue + * ratings.append(rating) + */ + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 463, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_is_unk_user); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 463, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_9)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_9); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_1 = (__pyx_t_9) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_9, __pyx_v_uid) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_uid); + __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 463, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 463, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (!__pyx_t_4) { + } else { + __pyx_t_5 = __pyx_t_4; + goto __pyx_L9_bool_binop_done; + } + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 463, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_is_unk_item); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 463, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_9); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_9, function); + } + } + __pyx_t_1 = (__pyx_t_8) ? __Pyx_PyObject_Call2Args(__pyx_t_9, __pyx_t_8, __pyx_v_iid) : __Pyx_PyObject_CallOneArg(__pyx_t_9, __pyx_v_iid); + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 463, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 463, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_5 = __pyx_t_4; + __pyx_L9_bool_binop_done:; + if (__pyx_t_5) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":464 + * for uid, iid, rating in data_set.uir_iter(): + * if self.train_set.is_unk_user(uid) or self.train_set.is_unk_item(iid): + * continue # <<<<<<<<<<<<<< + * ratings.append(rating) + * map_uid.append(uid) + */ + goto __pyx_L4_continue; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":463 + * if data_set is not None: + * for uid, iid, rating in data_set.uir_iter(): + * if self.train_set.is_unk_user(uid) or self.train_set.is_unk_item(iid): # <<<<<<<<<<<<<< + * continue + * ratings.append(rating) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":465 + * if self.train_set.is_unk_user(uid) or self.train_set.is_unk_item(iid): + * continue + * ratings.append(rating) # <<<<<<<<<<<<<< + * map_uid.append(uid) + * map_iid.append(iid) + */ + __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_ratings, __pyx_v_rating); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 465, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":466 + * continue + * ratings.append(rating) + * map_uid.append(uid) # <<<<<<<<<<<<<< + * map_iid.append(iid) + * ratings = np.asarray(ratings, dtype=np.float32).flatten() + */ + __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_map_uid, __pyx_v_uid); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 466, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":467 + * ratings.append(rating) + * map_uid.append(uid) + * map_iid.append(iid) # <<<<<<<<<<<<<< + * ratings = np.asarray(ratings, dtype=np.float32).flatten() + * map_uid = np.asarray(map_uid, dtype=np.int32).flatten() + */ + __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_map_iid, __pyx_v_iid); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 467, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":462 + * + * if data_set is not None: + * for uid, iid, rating in data_set.uir_iter(): # <<<<<<<<<<<<<< + * if self.train_set.is_unk_user(uid) or self.train_set.is_unk_item(iid): + * continue + */ + __pyx_L4_continue:; + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":461 + * map_iid = [] + * + * if data_set is not None: # <<<<<<<<<<<<<< + * for uid, iid, rating in data_set.uir_iter(): + * if self.train_set.is_unk_user(uid) or self.train_set.is_unk_item(iid): + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":468 + * map_uid.append(uid) + * map_iid.append(iid) + * ratings = np.asarray(ratings, dtype=np.float32).flatten() # <<<<<<<<<<<<<< + * map_uid = np.asarray(map_uid, dtype=np.int32).flatten() + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 468, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_asarray); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 468, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 468, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_ratings); + __Pyx_GIVEREF(__pyx_v_ratings); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_ratings); + __pyx_t_8 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 468, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 468, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 468, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_dtype, __pyx_t_10) < 0) __PYX_ERR(0, 468, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_t_9, __pyx_t_1, __pyx_t_8); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 468, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_flatten); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 468, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_10)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_2 = (__pyx_t_10) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_10) : __Pyx_PyObject_CallNoArg(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 468, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF_SET(__pyx_v_ratings, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":469 + * map_iid.append(iid) + * ratings = np.asarray(ratings, dtype=np.float32).flatten() + * map_uid = np.asarray(map_uid, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + * rating_matrix = sp.csr_matrix((ratings, (map_uid, map_iid)), + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 469, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_asarray); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 469, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = PyTuple_New(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 469, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_INCREF(__pyx_v_map_uid); + __Pyx_GIVEREF(__pyx_v_map_uid); + PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_v_map_uid); + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 469, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 469, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_int32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 469, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 469, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_10, __pyx_t_8, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 469, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_flatten); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 469, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 469, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF_SET(__pyx_v_map_uid, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":470 + * ratings = np.asarray(ratings, dtype=np.float32).flatten() + * map_uid = np.asarray(map_uid, dtype=np.int32).flatten() + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * rating_matrix = sp.csr_matrix((ratings, (map_uid, map_iid)), + * shape=(self.train_set.num_users, self.train_set.num_items)) + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 470, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_asarray); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 470, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 470, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_map_iid); + __Pyx_GIVEREF(__pyx_v_map_iid); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_map_iid); + __pyx_t_8 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 470, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 470, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_int32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 470, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_dtype, __pyx_t_9) < 0) __PYX_ERR(0, 470, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_1, __pyx_t_8); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 470, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_flatten); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 470, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_9)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_9); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_2 = (__pyx_t_9) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_9) : __Pyx_PyObject_CallNoArg(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 470, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF_SET(__pyx_v_map_iid, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":471 + * map_uid = np.asarray(map_uid, dtype=np.int32).flatten() + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + * rating_matrix = sp.csr_matrix((ratings, (map_uid, map_iid)), # <<<<<<<<<<<<<< + * shape=(self.train_set.num_users, self.train_set.num_items)) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_sp); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 471, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_csr_matrix); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 471, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 471, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_map_uid); + __Pyx_GIVEREF(__pyx_v_map_uid); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_map_uid); + __Pyx_INCREF(__pyx_v_map_iid); + __Pyx_GIVEREF(__pyx_v_map_iid); + PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_v_map_iid); + __pyx_t_9 = PyTuple_New(2); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 471, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_INCREF(__pyx_v_ratings); + __Pyx_GIVEREF(__pyx_v_ratings); + PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_v_ratings); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_9, 1, __pyx_t_2); + __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 471, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GIVEREF(__pyx_t_9); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_9); + __pyx_t_9 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":472 + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + * rating_matrix = sp.csr_matrix((ratings, (map_uid, map_iid)), + * shape=(self.train_set.num_users, self.train_set.num_items)) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_t_9 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 472, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 472, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_users); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 472, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 472, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_items); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 472, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 472, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_10); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_10); + __pyx_t_3 = 0; + __pyx_t_10 = 0; + if (PyDict_SetItem(__pyx_t_9, __pyx_n_s_shape, __pyx_t_1) < 0) __PYX_ERR(0, 472, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":471 + * map_uid = np.asarray(map_uid, dtype=np.int32).flatten() + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + * rating_matrix = sp.csr_matrix((ratings, (map_uid, map_iid)), # <<<<<<<<<<<<<< + * shape=(self.train_set.num_users, self.train_set.num_items)) + * + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_2, __pyx_t_9); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 471, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_v_rating_matrix = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":474 + * shape=(self.train_set.num_users, self.train_set.num_items)) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building rating matrix completed in %d s' % (time() - start_time)) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 474, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_5 < 0)) __PYX_ERR(0, 474, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_5) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":475 + * + * if self.verbose: + * print('Building rating matrix completed in %d s' % (time() - start_time)) # <<<<<<<<<<<<<< + * + * return rating_matrix + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_time); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_2 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_9))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_9); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_9, function); + } + } + __pyx_t_1 = (__pyx_t_2) ? __Pyx_PyObject_CallOneArg(__pyx_t_9, __pyx_t_2) : __Pyx_PyObject_CallNoArg(__pyx_t_9); + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = PyNumber_Subtract(__pyx_t_1, __pyx_v_start_time); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_Building_rating_matrix_completed, __pyx_t_9); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":474 + * shape=(self.train_set.num_users, self.train_set.num_items)) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building rating matrix completed in %d s' % (time() - start_time)) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":477 + * print('Building rating matrix completed in %d s' % (time() - start_time)) + * + * return rating_matrix # <<<<<<<<<<<<<< + * + * def _build_chrono_purchased_pairs(self, data_set, Y): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_rating_matrix); + __pyx_r = __pyx_v_rating_matrix; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":455 + * return loss + * + * def _build_rating_matrix(self, data_set): # <<<<<<<<<<<<<< + * start_time = time() + * ratings = [] + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_9); + __Pyx_XDECREF(__pyx_t_10); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._build_rating_matrix", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_start_time); + __Pyx_XDECREF(__pyx_v_ratings); + __Pyx_XDECREF(__pyx_v_map_uid); + __Pyx_XDECREF(__pyx_v_map_iid); + __Pyx_XDECREF(__pyx_v_uid); + __Pyx_XDECREF(__pyx_v_iid); + __Pyx_XDECREF(__pyx_v_rating); + __Pyx_XDECREF(__pyx_v_rating_matrix); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":479 + * return rating_matrix + * + * def _build_chrono_purchased_pairs(self, data_set, Y): # <<<<<<<<<<<<<< + * start_time = time() + * from tqdm import tqdm + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_17_build_chrono_purchased_pairs(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_17_build_chrono_purchased_pairs = {"_build_chrono_purchased_pairs", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_17_build_chrono_purchased_pairs, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_17_build_chrono_purchased_pairs(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_data_set = 0; + PyObject *__pyx_v_Y = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_build_chrono_purchased_pairs (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_data_set,&__pyx_n_s_Y,0}; + PyObject* values[3] = {0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_data_set)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_chrono_purchased_pairs", 1, 3, 3, 1); __PYX_ERR(0, 479, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_chrono_purchased_pairs", 1, 3, 3, 2); __PYX_ERR(0, 479, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_build_chrono_purchased_pairs") < 0)) __PYX_ERR(0, 479, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 3) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + } + __pyx_v_self = values[0]; + __pyx_v_data_set = values[1]; + __pyx_v_Y = values[2]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_build_chrono_purchased_pairs", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 479, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._build_chrono_purchased_pairs", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_16_build_chrono_purchased_pairs(__pyx_self, __pyx_v_self, __pyx_v_data_set, __pyx_v_Y); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_16_build_chrono_purchased_pairs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_data_set, PyObject *__pyx_v_Y) { + PyObject *__pyx_v_start_time = NULL; + PyObject *__pyx_v_tqdm = NULL; + PyObject *__pyx_v_chrono_purchased_pairs = NULL; + PyObject *__pyx_v_item_ids = NULL; + CYTHON_UNUSED PyObject *__pyx_v__ = NULL; + PyObject *__pyx_v_window = NULL; + PyObject *__pyx_v_sub_item_ids = NULL; + PyObject *__pyx_v_earlier_item_idx = NULL; + PyObject *__pyx_v_later_item_idx = NULL; + PyObject *__pyx_v_pair_counts = NULL; + PyObject *__pyx_v_not_dominated_pairs = NULL; + PyObject *__pyx_v_common_aspect_counts = NULL; + PyObject *__pyx_v_count = NULL; + PyObject *__pyx_v_k = NULL; + PyObject *__pyx_v_earlier_indices = NULL; + PyObject *__pyx_v_later_indices = NULL; + PyObject *__pyx_v_aspect_indices = NULL; + PyObject *__pyx_v_pair_freq = NULL; + PyObject *__pyx_v_aspect_idx = NULL; + PyObject *__pyx_7genexpr__pyx_v_i = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + Py_ssize_t __pyx_t_4; + PyObject *(*__pyx_t_5)(PyObject *); + PyObject *__pyx_t_6 = NULL; + PyObject *(*__pyx_t_7)(PyObject *); + PyObject *__pyx_t_8 = NULL; + Py_ssize_t __pyx_t_9; + int __pyx_t_10; + PyObject *__pyx_t_11 = NULL; + int __pyx_t_12; + PyObject *(*__pyx_t_13)(PyObject *); + int __pyx_t_14; + Py_ssize_t __pyx_t_15; + PyObject *__pyx_t_16 = NULL; + int __pyx_t_17; + PyObject *__pyx_t_18 = NULL; + Py_UCS4 __pyx_t_19; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_build_chrono_purchased_pairs", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":480 + * + * def _build_chrono_purchased_pairs(self, data_set, Y): + * start_time = time() # <<<<<<<<<<<<<< + * from tqdm import tqdm + * chrono_purchased_pairs = Counter() + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_time); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 480, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 480, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_start_time = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":481 + * def _build_chrono_purchased_pairs(self, data_set, Y): + * start_time = time() + * from tqdm import tqdm # <<<<<<<<<<<<<< + * chrono_purchased_pairs = Counter() + * for (item_ids, *_) in tqdm(data_set.chrono_user_data.values(), desc='Get purchased pairs'): + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 481, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s_tqdm); + __Pyx_GIVEREF(__pyx_n_s_tqdm); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_tqdm); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_tqdm, __pyx_t_1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 481, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_tqdm); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 481, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_t_1); + __pyx_v_tqdm = __pyx_t_1; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":482 + * start_time = time() + * from tqdm import tqdm + * chrono_purchased_pairs = Counter() # <<<<<<<<<<<<<< + * for (item_ids, *_) in tqdm(data_set.chrono_user_data.values(), desc='Get purchased pairs'): + * if len(item_ids) >= self.min_user_freq: + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_Counter); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 482, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 482, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_chrono_purchased_pairs = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":483 + * from tqdm import tqdm + * chrono_purchased_pairs = Counter() + * for (item_ids, *_) in tqdm(data_set.chrono_user_data.values(), desc='Get purchased pairs'): # <<<<<<<<<<<<<< + * if len(item_ids) >= self.min_user_freq: + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_data_set, __pyx_n_s_chrono_user_data); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_values); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_2 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_2); + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_desc, __pyx_kp_u_Get_purchased_pairs) < 0) __PYX_ERR(0, 483, __pyx_L1_error) + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_v_tqdm, __pyx_t_3, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (likely(PyList_CheckExact(__pyx_t_1)) || PyTuple_CheckExact(__pyx_t_1)) { + __pyx_t_2 = __pyx_t_1; __Pyx_INCREF(__pyx_t_2); __pyx_t_4 = 0; + __pyx_t_5 = NULL; + } else { + __pyx_t_4 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_5 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 483, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + for (;;) { + if (likely(!__pyx_t_5)) { + if (likely(PyList_CheckExact(__pyx_t_2))) { + if (__pyx_t_4 >= PyList_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_1 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 483, __pyx_L1_error) + #else + __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + #endif + } else { + if (__pyx_t_4 >= PyTuple_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 483, __pyx_L1_error) + #else + __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + #endif + } + } else { + __pyx_t_1 = __pyx_t_5(__pyx_t_2); + if (unlikely(!__pyx_t_1)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 483, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_1); + } + { + Py_ssize_t index = -1; + PyObject** temps[2] = {&__pyx_t_3}; + __pyx_t_6 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_7 = Py_TYPE(__pyx_t_6)->tp_iternext; + for (index=0; index < 1; index++) { + PyObject* item = __pyx_t_7(__pyx_t_6); if (unlikely(!item)) goto __pyx_L5_unpacking_failed; + __Pyx_GOTREF(item); + *(temps[index]) = item; + } + goto __pyx_L6_unpacking_done; + __pyx_L5_unpacking_failed:; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_7 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 483, __pyx_L1_error) + __pyx_L6_unpacking_done:; + } + __pyx_t_8 = PySequence_List(__pyx_t_6); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_XDECREF_SET(__pyx_v_item_ids, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_XDECREF_SET(__pyx_v__, ((PyObject*)__pyx_t_8)); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":484 + * chrono_purchased_pairs = Counter() + * for (item_ids, *_) in tqdm(data_set.chrono_user_data.values(), desc='Get purchased pairs'): + * if len(item_ids) >= self.min_user_freq: # <<<<<<<<<<<<<< + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + */ + __pyx_t_9 = PyObject_Length(__pyx_v_item_ids); if (unlikely(__pyx_t_9 == ((Py_ssize_t)-1))) __PYX_ERR(0, 484, __pyx_L1_error) + __pyx_t_1 = PyInt_FromSsize_t(__pyx_t_9); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 484, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_user_freq); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 484, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = PyObject_RichCompare(__pyx_t_1, __pyx_t_8, Py_GE); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 484, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_10 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_10 < 0)) __PYX_ERR(0, 484, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_10) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":485 + * for (item_ids, *_) in tqdm(data_set.chrono_user_data.values(), desc='Get purchased pairs'): + * if len(item_ids) >= self.min_user_freq: + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) # <<<<<<<<<<<<<< + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_enum_window); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 485, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_10 = (__pyx_t_8 == Py_None); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if ((__pyx_t_10 != 0)) { + __pyx_t_9 = PyObject_Length(__pyx_v_item_ids); if (unlikely(__pyx_t_9 == ((Py_ssize_t)-1))) __PYX_ERR(0, 485, __pyx_L1_error) + __pyx_t_8 = PyInt_FromSsize_t(__pyx_t_9); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 485, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __pyx_t_8; + __pyx_t_8 = 0; + } else { + __pyx_t_9 = PyObject_Length(__pyx_v_item_ids); if (unlikely(__pyx_t_9 == ((Py_ssize_t)-1))) __PYX_ERR(0, 485, __pyx_L1_error) + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_enum_window); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 485, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = PyInt_FromSsize_t(__pyx_t_9); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 485, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_11 = PyObject_RichCompare(__pyx_t_6, __pyx_t_8, Py_LT); __Pyx_XGOTREF(__pyx_t_11); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 485, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_t_11); if (unlikely(__pyx_t_12 < 0)) __PYX_ERR(0, 485, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (__pyx_t_12) { + __pyx_t_11 = PyInt_FromSsize_t(__pyx_t_9); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 485, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_1 = __pyx_t_11; + __pyx_t_11 = 0; + } else { + __Pyx_INCREF(__pyx_t_8); + __pyx_t_1 = __pyx_t_8; + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_INCREF(__pyx_t_1); + __pyx_t_3 = __pyx_t_1; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } + __Pyx_XDECREF_SET(__pyx_v_window, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":486 + * if len(item_ids) >= self.min_user_freq: + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: # <<<<<<<<<<<<<< + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + */ + { /* enter inner scope */ + __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 486, __pyx_L12_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_9 = PyObject_Length(__pyx_v_item_ids); if (unlikely(__pyx_t_9 == ((Py_ssize_t)-1))) __PYX_ERR(0, 486, __pyx_L12_error) + __pyx_t_1 = PyInt_FromSsize_t(__pyx_t_9); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 486, __pyx_L12_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_8 = PyNumber_Subtract(__pyx_t_1, __pyx_v_window); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 486, __pyx_L12_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_t_8, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 486, __pyx_L12_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_builtin_range, __pyx_t_1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 486, __pyx_L12_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (likely(PyList_CheckExact(__pyx_t_8)) || PyTuple_CheckExact(__pyx_t_8)) { + __pyx_t_1 = __pyx_t_8; __Pyx_INCREF(__pyx_t_1); __pyx_t_9 = 0; + __pyx_t_13 = NULL; + } else { + __pyx_t_9 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 486, __pyx_L12_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_13 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 486, __pyx_L12_error) + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + for (;;) { + if (likely(!__pyx_t_13)) { + if (likely(PyList_CheckExact(__pyx_t_1))) { + if (__pyx_t_9 >= PyList_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_8 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_9); __Pyx_INCREF(__pyx_t_8); __pyx_t_9++; if (unlikely(0 < 0)) __PYX_ERR(0, 486, __pyx_L12_error) + #else + __pyx_t_8 = PySequence_ITEM(__pyx_t_1, __pyx_t_9); __pyx_t_9++; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 486, __pyx_L12_error) + __Pyx_GOTREF(__pyx_t_8); + #endif + } else { + if (__pyx_t_9 >= PyTuple_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_8 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_9); __Pyx_INCREF(__pyx_t_8); __pyx_t_9++; if (unlikely(0 < 0)) __PYX_ERR(0, 486, __pyx_L12_error) + #else + __pyx_t_8 = PySequence_ITEM(__pyx_t_1, __pyx_t_9); __pyx_t_9++; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 486, __pyx_L12_error) + __Pyx_GOTREF(__pyx_t_8); + #endif + } + } else { + __pyx_t_8 = __pyx_t_13(__pyx_t_1); + if (unlikely(!__pyx_t_8)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 486, __pyx_L12_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_8); + } + __Pyx_XDECREF_SET(__pyx_7genexpr__pyx_v_i, __pyx_t_8); + __pyx_t_8 = 0; + __pyx_t_8 = PyNumber_Add(__pyx_7genexpr__pyx_v_i, __pyx_v_window); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 486, __pyx_L12_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_11 = __Pyx_PyObject_GetSlice(__pyx_v_item_ids, 0, 0, &__pyx_7genexpr__pyx_v_i, &__pyx_t_8, NULL, 0, 0, 1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 486, __pyx_L12_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(__Pyx_ListComp_Append(__pyx_t_3, (PyObject*)__pyx_t_11))) __PYX_ERR(0, 486, __pyx_L12_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_7genexpr__pyx_v_i); __pyx_7genexpr__pyx_v_i = 0; + goto __pyx_L15_exit_scope; + __pyx_L12_error:; + __Pyx_XDECREF(__pyx_7genexpr__pyx_v_i); __pyx_7genexpr__pyx_v_i = 0; + goto __pyx_L1_error; + __pyx_L15_exit_scope:; + } /* exit inner scope */ + __pyx_t_1 = __pyx_t_3; __Pyx_INCREF(__pyx_t_1); __pyx_t_9 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + for (;;) { + if (__pyx_t_9 >= PyList_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_9); __Pyx_INCREF(__pyx_t_3); __pyx_t_9++; if (unlikely(0 < 0)) __PYX_ERR(0, 486, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_9); __pyx_t_9++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 486, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + __Pyx_XDECREF_SET(__pyx_v_sub_item_ids, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":487 + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): # <<<<<<<<<<<<<< + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + * continue + */ + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_combinations); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 487, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_8 = NULL; + __pyx_t_14 = 0; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + __pyx_t_14 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_11)) { + PyObject *__pyx_temp[3] = {__pyx_t_8, __pyx_v_sub_item_ids, __pyx_int_2}; + __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_11, __pyx_temp+1-__pyx_t_14, 2+__pyx_t_14); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 487, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_GOTREF(__pyx_t_3); + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_11)) { + PyObject *__pyx_temp[3] = {__pyx_t_8, __pyx_v_sub_item_ids, __pyx_int_2}; + __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_11, __pyx_temp+1-__pyx_t_14, 2+__pyx_t_14); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 487, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_GOTREF(__pyx_t_3); + } else + #endif + { + __pyx_t_6 = PyTuple_New(2+__pyx_t_14); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 487, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + if (__pyx_t_8) { + __Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_8); __pyx_t_8 = NULL; + } + __Pyx_INCREF(__pyx_v_sub_item_ids); + __Pyx_GIVEREF(__pyx_v_sub_item_ids); + PyTuple_SET_ITEM(__pyx_t_6, 0+__pyx_t_14, __pyx_v_sub_item_ids); + __Pyx_INCREF(__pyx_int_2); + __Pyx_GIVEREF(__pyx_int_2); + PyTuple_SET_ITEM(__pyx_t_6, 1+__pyx_t_14, __pyx_int_2); + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_6, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 487, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (likely(PyList_CheckExact(__pyx_t_3)) || PyTuple_CheckExact(__pyx_t_3)) { + __pyx_t_11 = __pyx_t_3; __Pyx_INCREF(__pyx_t_11); __pyx_t_15 = 0; + __pyx_t_13 = NULL; + } else { + __pyx_t_15 = -1; __pyx_t_11 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 487, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_13 = Py_TYPE(__pyx_t_11)->tp_iternext; if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 487, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + for (;;) { + if (likely(!__pyx_t_13)) { + if (likely(PyList_CheckExact(__pyx_t_11))) { + if (__pyx_t_15 >= PyList_GET_SIZE(__pyx_t_11)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyList_GET_ITEM(__pyx_t_11, __pyx_t_15); __Pyx_INCREF(__pyx_t_3); __pyx_t_15++; if (unlikely(0 < 0)) __PYX_ERR(0, 487, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_11, __pyx_t_15); __pyx_t_15++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 487, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + } else { + if (__pyx_t_15 >= PyTuple_GET_SIZE(__pyx_t_11)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_11, __pyx_t_15); __Pyx_INCREF(__pyx_t_3); __pyx_t_15++; if (unlikely(0 < 0)) __PYX_ERR(0, 487, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_11, __pyx_t_15); __pyx_t_15++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 487, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + } + } else { + __pyx_t_3 = __pyx_t_13(__pyx_t_11); + if (unlikely(!__pyx_t_3)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 487, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_3); + } + if ((likely(PyTuple_CheckExact(__pyx_t_3))) || (PyList_CheckExact(__pyx_t_3))) { + PyObject* sequence = __pyx_t_3; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 487, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_6 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_8 = PyTuple_GET_ITEM(sequence, 1); + } else { + __pyx_t_6 = PyList_GET_ITEM(sequence, 0); + __pyx_t_8 = PyList_GET_ITEM(sequence, 1); + } + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(__pyx_t_8); + #else + __pyx_t_6 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 487, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_8 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 487, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + #endif + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_16 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 487, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_16); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_7 = Py_TYPE(__pyx_t_16)->tp_iternext; + index = 0; __pyx_t_6 = __pyx_t_7(__pyx_t_16); if (unlikely(!__pyx_t_6)) goto __pyx_L18_unpacking_failed; + __Pyx_GOTREF(__pyx_t_6); + index = 1; __pyx_t_8 = __pyx_t_7(__pyx_t_16); if (unlikely(!__pyx_t_8)) goto __pyx_L18_unpacking_failed; + __Pyx_GOTREF(__pyx_t_8); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_16), 2) < 0) __PYX_ERR(0, 487, __pyx_L1_error) + __pyx_t_7 = NULL; + __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0; + goto __pyx_L19_unpacking_done; + __pyx_L18_unpacking_failed:; + __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0; + __pyx_t_7 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 487, __pyx_L1_error) + __pyx_L19_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_earlier_item_idx, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_XDECREF_SET(__pyx_v_later_item_idx, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":488 + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): # <<<<<<<<<<<<<< + * continue + * chrono_purchased_pairs[(earlier_item_idx, later_item_idx)] += 1 + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 488, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_is_unk_item); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 488, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_6); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_6, function); + } + } + __pyx_t_3 = (__pyx_t_8) ? __Pyx_PyObject_Call2Args(__pyx_t_6, __pyx_t_8, __pyx_v_earlier_item_idx) : __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_v_earlier_item_idx); + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 488, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_12 < 0)) __PYX_ERR(0, 488, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (!__pyx_t_12) { + } else { + __pyx_t_10 = __pyx_t_12; + goto __pyx_L21_bool_binop_done; + } + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 488, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_is_unk_item); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 488, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_3 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_6, __pyx_v_later_item_idx) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_later_item_idx); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 488, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_12 < 0)) __PYX_ERR(0, 488, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_10 = __pyx_t_12; + __pyx_L21_bool_binop_done:; + if (__pyx_t_10) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":489 + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + * continue # <<<<<<<<<<<<<< + * chrono_purchased_pairs[(earlier_item_idx, later_item_idx)] += 1 + * + */ + goto __pyx_L16_continue; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":488 + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): # <<<<<<<<<<<<<< + * continue + * chrono_purchased_pairs[(earlier_item_idx, later_item_idx)] += 1 + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":490 + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + * continue + * chrono_purchased_pairs[(earlier_item_idx, later_item_idx)] += 1 # <<<<<<<<<<<<<< + * + * pair_counts = Counter() + */ + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 490, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_later_item_idx); + __pyx_t_8 = __Pyx_PyObject_GetItem(__pyx_v_chrono_purchased_pairs, __pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 490, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyInt_AddObjC(__pyx_t_8, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 490, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(PyObject_SetItem(__pyx_v_chrono_purchased_pairs, __pyx_t_3, __pyx_t_6) < 0)) __PYX_ERR(0, 490, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":487 + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): # <<<<<<<<<<<<<< + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + * continue + */ + __pyx_L16_continue:; + } + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":486 + * if len(item_ids) >= self.min_user_freq: + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: # <<<<<<<<<<<<<< + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + */ + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":484 + * chrono_purchased_pairs = Counter() + * for (item_ids, *_) in tqdm(data_set.chrono_user_data.values(), desc='Get purchased pairs'): + * if len(item_ids) >= self.min_user_freq: # <<<<<<<<<<<<<< + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":483 + * from tqdm import tqdm + * chrono_purchased_pairs = Counter() + * for (item_ids, *_) in tqdm(data_set.chrono_user_data.values(), desc='Get purchased pairs'): # <<<<<<<<<<<<<< + * if len(item_ids) >= self.min_user_freq: + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + */ + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":492 + * chrono_purchased_pairs[(earlier_item_idx, later_item_idx)] += 1 + * + * pair_counts = Counter() # <<<<<<<<<<<<<< + * + * not_dominated_pairs = set() + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_Counter); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 492, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_2 = (__pyx_t_11) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_11) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 492, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_pair_counts = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":494 + * pair_counts = Counter() + * + * not_dominated_pairs = set() # <<<<<<<<<<<<<< + * common_aspect_counts = Counter() + * for (earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), desc='Get skyline aspects'): + */ + __pyx_t_2 = PySet_New(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 494, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_v_not_dominated_pairs = ((PyObject*)__pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":495 + * + * not_dominated_pairs = set() + * common_aspect_counts = Counter() # <<<<<<<<<<<<<< + * for (earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), desc='Get skyline aspects'): + * for k in Y[later_item_idx].indices: + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_Counter); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 495, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_2 = (__pyx_t_11) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_11) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 495, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_common_aspect_counts = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":496 + * not_dominated_pairs = set() + * common_aspect_counts = Counter() + * for (earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), desc='Get skyline aspects'): # <<<<<<<<<<<<<< + * for k in Y[later_item_idx].indices: + * if Y[later_item_idx, k] > Y[earlier_item_idx, k]: + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_chrono_purchased_pairs, __pyx_n_s_most_common); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_2 = (__pyx_t_11) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_11) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2); + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_desc, __pyx_kp_u_Get_skyline_aspects) < 0) __PYX_ERR(0, 496, __pyx_L1_error) + __pyx_t_11 = __Pyx_PyObject_Call(__pyx_v_tqdm, __pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (likely(PyList_CheckExact(__pyx_t_11)) || PyTuple_CheckExact(__pyx_t_11)) { + __pyx_t_2 = __pyx_t_11; __Pyx_INCREF(__pyx_t_2); __pyx_t_4 = 0; + __pyx_t_5 = NULL; + } else { + __pyx_t_4 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_t_11); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_5 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 496, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + for (;;) { + if (likely(!__pyx_t_5)) { + if (likely(PyList_CheckExact(__pyx_t_2))) { + if (__pyx_t_4 >= PyList_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_11 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_4); __Pyx_INCREF(__pyx_t_11); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 496, __pyx_L1_error) + #else + __pyx_t_11 = PySequence_ITEM(__pyx_t_2, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + #endif + } else { + if (__pyx_t_4 >= PyTuple_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_11 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_4); __Pyx_INCREF(__pyx_t_11); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 496, __pyx_L1_error) + #else + __pyx_t_11 = PySequence_ITEM(__pyx_t_2, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + #endif + } + } else { + __pyx_t_11 = __pyx_t_5(__pyx_t_2); + if (unlikely(!__pyx_t_11)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 496, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_11); + } + if ((likely(PyTuple_CheckExact(__pyx_t_11))) || (PyList_CheckExact(__pyx_t_11))) { + PyObject* sequence = __pyx_t_11; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 496, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_1 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 1); + } else { + __pyx_t_1 = PyList_GET_ITEM(sequence, 0); + __pyx_t_3 = PyList_GET_ITEM(sequence, 1); + } + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(__pyx_t_3); + #else + __pyx_t_1 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_6 = PyObject_GetIter(__pyx_t_11); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_7 = Py_TYPE(__pyx_t_6)->tp_iternext; + index = 0; __pyx_t_1 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_1)) goto __pyx_L25_unpacking_failed; + __Pyx_GOTREF(__pyx_t_1); + index = 1; __pyx_t_3 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_3)) goto __pyx_L25_unpacking_failed; + __Pyx_GOTREF(__pyx_t_3); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_6), 2) < 0) __PYX_ERR(0, 496, __pyx_L1_error) + __pyx_t_7 = NULL; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + goto __pyx_L26_unpacking_done; + __pyx_L25_unpacking_failed:; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_7 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 496, __pyx_L1_error) + __pyx_L26_unpacking_done:; + } + if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) { + PyObject* sequence = __pyx_t_1; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 496, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_6 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_8 = PyTuple_GET_ITEM(sequence, 1); + } else { + __pyx_t_6 = PyList_GET_ITEM(sequence, 0); + __pyx_t_8 = PyList_GET_ITEM(sequence, 1); + } + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(__pyx_t_8); + #else + __pyx_t_6 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_8 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + #endif + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_16 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 496, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_16); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_7 = Py_TYPE(__pyx_t_16)->tp_iternext; + index = 0; __pyx_t_6 = __pyx_t_7(__pyx_t_16); if (unlikely(!__pyx_t_6)) goto __pyx_L27_unpacking_failed; + __Pyx_GOTREF(__pyx_t_6); + index = 1; __pyx_t_8 = __pyx_t_7(__pyx_t_16); if (unlikely(!__pyx_t_8)) goto __pyx_L27_unpacking_failed; + __Pyx_GOTREF(__pyx_t_8); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_16), 2) < 0) __PYX_ERR(0, 496, __pyx_L1_error) + __pyx_t_7 = NULL; + __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0; + goto __pyx_L28_unpacking_done; + __pyx_L27_unpacking_failed:; + __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0; + __pyx_t_7 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 496, __pyx_L1_error) + __pyx_L28_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_earlier_item_idx, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_XDECREF_SET(__pyx_v_later_item_idx, __pyx_t_8); + __pyx_t_8 = 0; + __Pyx_XDECREF_SET(__pyx_v_count, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":497 + * common_aspect_counts = Counter() + * for (earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), desc='Get skyline aspects'): + * for k in Y[later_item_idx].indices: # <<<<<<<<<<<<<< + * if Y[later_item_idx, k] > Y[earlier_item_idx, k]: + * pair_counts[(earlier_item_idx, later_item_idx, k)] += count + */ + __pyx_t_11 = __Pyx_PyObject_GetItem(__pyx_v_Y, __pyx_v_later_item_idx); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 497, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_indices); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 497, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (likely(PyList_CheckExact(__pyx_t_3)) || PyTuple_CheckExact(__pyx_t_3)) { + __pyx_t_11 = __pyx_t_3; __Pyx_INCREF(__pyx_t_11); __pyx_t_9 = 0; + __pyx_t_13 = NULL; + } else { + __pyx_t_9 = -1; __pyx_t_11 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 497, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_13 = Py_TYPE(__pyx_t_11)->tp_iternext; if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 497, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + for (;;) { + if (likely(!__pyx_t_13)) { + if (likely(PyList_CheckExact(__pyx_t_11))) { + if (__pyx_t_9 >= PyList_GET_SIZE(__pyx_t_11)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyList_GET_ITEM(__pyx_t_11, __pyx_t_9); __Pyx_INCREF(__pyx_t_3); __pyx_t_9++; if (unlikely(0 < 0)) __PYX_ERR(0, 497, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_11, __pyx_t_9); __pyx_t_9++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 497, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + } else { + if (__pyx_t_9 >= PyTuple_GET_SIZE(__pyx_t_11)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_11, __pyx_t_9); __Pyx_INCREF(__pyx_t_3); __pyx_t_9++; if (unlikely(0 < 0)) __PYX_ERR(0, 497, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_11, __pyx_t_9); __pyx_t_9++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 497, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + } + } else { + __pyx_t_3 = __pyx_t_13(__pyx_t_11); + if (unlikely(!__pyx_t_3)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 497, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_3); + } + __Pyx_XDECREF_SET(__pyx_v_k, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":498 + * for (earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), desc='Get skyline aspects'): + * for k in Y[later_item_idx].indices: + * if Y[later_item_idx, k] > Y[earlier_item_idx, k]: # <<<<<<<<<<<<<< + * pair_counts[(earlier_item_idx, later_item_idx, k)] += count + * not_dominated_pairs.add((earlier_item_idx, later_item_idx)) + */ + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 498, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_later_item_idx); + __Pyx_INCREF(__pyx_v_k); + __Pyx_GIVEREF(__pyx_v_k); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_k); + __pyx_t_1 = __Pyx_PyObject_GetItem(__pyx_v_Y, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 498, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 498, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_k); + __Pyx_GIVEREF(__pyx_v_k); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_k); + __pyx_t_8 = __Pyx_PyObject_GetItem(__pyx_v_Y, __pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 498, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyObject_RichCompare(__pyx_t_1, __pyx_t_8, Py_GT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 498, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_10 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_10 < 0)) __PYX_ERR(0, 498, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_10) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":499 + * for k in Y[later_item_idx].indices: + * if Y[later_item_idx, k] > Y[earlier_item_idx, k]: + * pair_counts[(earlier_item_idx, later_item_idx, k)] += count # <<<<<<<<<<<<<< + * not_dominated_pairs.add((earlier_item_idx, later_item_idx)) + * if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0: + */ + __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 499, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_later_item_idx); + __Pyx_INCREF(__pyx_v_k); + __Pyx_GIVEREF(__pyx_v_k); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_v_k); + __pyx_t_8 = __Pyx_PyObject_GetItem(__pyx_v_pair_counts, __pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 499, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_1 = PyNumber_InPlaceAdd(__pyx_t_8, __pyx_v_count); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 499, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(PyObject_SetItem(__pyx_v_pair_counts, __pyx_t_3, __pyx_t_1) < 0)) __PYX_ERR(0, 499, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":500 + * if Y[later_item_idx, k] > Y[earlier_item_idx, k]: + * pair_counts[(earlier_item_idx, later_item_idx, k)] += count + * not_dominated_pairs.add((earlier_item_idx, later_item_idx)) # <<<<<<<<<<<<<< + * if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0: + * common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 + */ + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 500, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_later_item_idx); + __pyx_t_17 = PySet_Add(__pyx_v_not_dominated_pairs, __pyx_t_3); if (unlikely(__pyx_t_17 == ((int)-1))) __PYX_ERR(0, 500, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":498 + * for (earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), desc='Get skyline aspects'): + * for k in Y[later_item_idx].indices: + * if Y[later_item_idx, k] > Y[earlier_item_idx, k]: # <<<<<<<<<<<<<< + * pair_counts[(earlier_item_idx, later_item_idx, k)] += count + * not_dominated_pairs.add((earlier_item_idx, later_item_idx)) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":501 + * pair_counts[(earlier_item_idx, later_item_idx, k)] += count + * not_dominated_pairs.add((earlier_item_idx, later_item_idx)) + * if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0: # <<<<<<<<<<<<<< + * common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 + * + */ + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 501, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_k); + __Pyx_GIVEREF(__pyx_v_k); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_k); + __pyx_t_1 = __Pyx_PyObject_GetItem(__pyx_v_Y, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 501, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyObject_RichCompare(__pyx_t_1, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 501, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_12 < 0)) __PYX_ERR(0, 501, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_12) { + } else { + __pyx_t_10 = __pyx_t_12; + goto __pyx_L33_bool_binop_done; + } + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 501, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_later_item_idx); + __Pyx_INCREF(__pyx_v_k); + __Pyx_GIVEREF(__pyx_v_k); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_k); + __pyx_t_1 = __Pyx_PyObject_GetItem(__pyx_v_Y, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 501, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyObject_RichCompare(__pyx_t_1, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 501, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_12 < 0)) __PYX_ERR(0, 501, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_10 = __pyx_t_12; + __pyx_L33_bool_binop_done:; + if (__pyx_t_10) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":502 + * not_dominated_pairs.add((earlier_item_idx, later_item_idx)) + * if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0: + * common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 # <<<<<<<<<<<<<< + * + * earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [] + */ + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 502, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_later_item_idx); + __pyx_t_1 = __Pyx_PyObject_GetItem(__pyx_v_common_aspect_counts, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 502, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_8 = __Pyx_PyInt_AddObjC(__pyx_t_1, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 502, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(PyObject_SetItem(__pyx_v_common_aspect_counts, __pyx_t_3, __pyx_t_8) < 0)) __PYX_ERR(0, 502, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":501 + * pair_counts[(earlier_item_idx, later_item_idx, k)] += count + * not_dominated_pairs.add((earlier_item_idx, later_item_idx)) + * if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0: # <<<<<<<<<<<<<< + * common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":497 + * common_aspect_counts = Counter() + * for (earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), desc='Get skyline aspects'): + * for k in Y[later_item_idx].indices: # <<<<<<<<<<<<<< + * if Y[later_item_idx, k] > Y[earlier_item_idx, k]: + * pair_counts[(earlier_item_idx, later_item_idx, k)] += count + */ + } + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":496 + * not_dominated_pairs = set() + * common_aspect_counts = Counter() + * for (earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), desc='Get skyline aspects'): # <<<<<<<<<<<<<< + * for k in Y[later_item_idx].indices: + * if Y[later_item_idx, k] > Y[earlier_item_idx, k]: + */ + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":504 + * common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 + * + * earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [] # <<<<<<<<<<<<<< + * for (earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), desc='Enumerate index'): + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: + */ + __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 504, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_11 = PyList_New(0); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 504, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 504, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = PyList_New(0); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 504, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_v_earlier_indices = __pyx_t_2; + __pyx_t_2 = 0; + __pyx_v_later_indices = __pyx_t_11; + __pyx_t_11 = 0; + __pyx_v_aspect_indices = __pyx_t_3; + __pyx_t_3 = 0; + __pyx_v_pair_freq = __pyx_t_8; + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":505 + * + * earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [] + * for (earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), desc='Enumerate index'): # <<<<<<<<<<<<<< + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: + * continue + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_pair_counts, __pyx_n_s_most_common); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_8 = (__pyx_t_11) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_11) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_8); + __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_desc, __pyx_kp_u_Enumerate_index) < 0) __PYX_ERR(0, 505, __pyx_L1_error) + __pyx_t_11 = __Pyx_PyObject_Call(__pyx_v_tqdm, __pyx_t_3, __pyx_t_8); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (likely(PyList_CheckExact(__pyx_t_11)) || PyTuple_CheckExact(__pyx_t_11)) { + __pyx_t_8 = __pyx_t_11; __Pyx_INCREF(__pyx_t_8); __pyx_t_4 = 0; + __pyx_t_5 = NULL; + } else { + __pyx_t_4 = -1; __pyx_t_8 = PyObject_GetIter(__pyx_t_11); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_5 = Py_TYPE(__pyx_t_8)->tp_iternext; if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 505, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + for (;;) { + if (likely(!__pyx_t_5)) { + if (likely(PyList_CheckExact(__pyx_t_8))) { + if (__pyx_t_4 >= PyList_GET_SIZE(__pyx_t_8)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_11 = PyList_GET_ITEM(__pyx_t_8, __pyx_t_4); __Pyx_INCREF(__pyx_t_11); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 505, __pyx_L1_error) + #else + __pyx_t_11 = PySequence_ITEM(__pyx_t_8, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + #endif + } else { + if (__pyx_t_4 >= PyTuple_GET_SIZE(__pyx_t_8)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_11 = PyTuple_GET_ITEM(__pyx_t_8, __pyx_t_4); __Pyx_INCREF(__pyx_t_11); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 505, __pyx_L1_error) + #else + __pyx_t_11 = PySequence_ITEM(__pyx_t_8, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + #endif + } + } else { + __pyx_t_11 = __pyx_t_5(__pyx_t_8); + if (unlikely(!__pyx_t_11)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 505, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_11); + } + if ((likely(PyTuple_CheckExact(__pyx_t_11))) || (PyList_CheckExact(__pyx_t_11))) { + PyObject* sequence = __pyx_t_11; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 505, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_2 = PyTuple_GET_ITEM(sequence, 1); + } else { + __pyx_t_3 = PyList_GET_ITEM(sequence, 0); + __pyx_t_2 = PyList_GET_ITEM(sequence, 1); + } + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(__pyx_t_2); + #else + __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + #endif + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_1 = PyObject_GetIter(__pyx_t_11); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_7 = Py_TYPE(__pyx_t_1)->tp_iternext; + index = 0; __pyx_t_3 = __pyx_t_7(__pyx_t_1); if (unlikely(!__pyx_t_3)) goto __pyx_L37_unpacking_failed; + __Pyx_GOTREF(__pyx_t_3); + index = 1; __pyx_t_2 = __pyx_t_7(__pyx_t_1); if (unlikely(!__pyx_t_2)) goto __pyx_L37_unpacking_failed; + __Pyx_GOTREF(__pyx_t_2); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_1), 2) < 0) __PYX_ERR(0, 505, __pyx_L1_error) + __pyx_t_7 = NULL; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + goto __pyx_L38_unpacking_done; + __pyx_L37_unpacking_failed:; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_7 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 505, __pyx_L1_error) + __pyx_L38_unpacking_done:; + } + if ((likely(PyTuple_CheckExact(__pyx_t_3))) || (PyList_CheckExact(__pyx_t_3))) { + PyObject* sequence = __pyx_t_3; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 3)) { + if (size > 3) __Pyx_RaiseTooManyValuesError(3); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 505, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_1 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_6 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_16 = PyTuple_GET_ITEM(sequence, 2); + } else { + __pyx_t_1 = PyList_GET_ITEM(sequence, 0); + __pyx_t_6 = PyList_GET_ITEM(sequence, 1); + __pyx_t_16 = PyList_GET_ITEM(sequence, 2); + } + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(__pyx_t_16); + #else + __pyx_t_1 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_16 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_16); + #endif + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_18 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 505, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_18); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_7 = Py_TYPE(__pyx_t_18)->tp_iternext; + index = 0; __pyx_t_1 = __pyx_t_7(__pyx_t_18); if (unlikely(!__pyx_t_1)) goto __pyx_L39_unpacking_failed; + __Pyx_GOTREF(__pyx_t_1); + index = 1; __pyx_t_6 = __pyx_t_7(__pyx_t_18); if (unlikely(!__pyx_t_6)) goto __pyx_L39_unpacking_failed; + __Pyx_GOTREF(__pyx_t_6); + index = 2; __pyx_t_16 = __pyx_t_7(__pyx_t_18); if (unlikely(!__pyx_t_16)) goto __pyx_L39_unpacking_failed; + __Pyx_GOTREF(__pyx_t_16); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_18), 3) < 0) __PYX_ERR(0, 505, __pyx_L1_error) + __pyx_t_7 = NULL; + __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0; + goto __pyx_L40_unpacking_done; + __pyx_L39_unpacking_failed:; + __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0; + __pyx_t_7 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 505, __pyx_L1_error) + __pyx_L40_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_earlier_item_idx, __pyx_t_1); + __pyx_t_1 = 0; + __Pyx_XDECREF_SET(__pyx_v_later_item_idx, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_XDECREF_SET(__pyx_v_aspect_idx, __pyx_t_16); + __pyx_t_16 = 0; + __Pyx_XDECREF_SET(__pyx_v_count, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":506 + * earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [] + * for (earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), desc='Enumerate index'): + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: # <<<<<<<<<<<<<< + * continue + * earlier_indices.append(earlier_item_idx) + */ + __pyx_t_11 = PyTuple_New(2); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 506, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_v_later_item_idx); + __pyx_t_2 = __Pyx_PyObject_GetItem(__pyx_v_common_aspect_counts, __pyx_t_11); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 506, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_common_freq); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 506, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_3 = PyObject_RichCompare(__pyx_t_2, __pyx_t_11, Py_LT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 506, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_10 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_10 < 0)) __PYX_ERR(0, 506, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_10) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":507 + * for (earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), desc='Enumerate index'): + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: + * continue # <<<<<<<<<<<<<< + * earlier_indices.append(earlier_item_idx) + * later_indices.append(later_item_idx) + */ + goto __pyx_L35_continue; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":506 + * earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [] + * for (earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), desc='Enumerate index'): + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: # <<<<<<<<<<<<<< + * continue + * earlier_indices.append(earlier_item_idx) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":508 + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: + * continue + * earlier_indices.append(earlier_item_idx) # <<<<<<<<<<<<<< + * later_indices.append(later_item_idx) + * aspect_indices.append(aspect_idx) + */ + __pyx_t_17 = __Pyx_PyObject_Append(__pyx_v_earlier_indices, __pyx_v_earlier_item_idx); if (unlikely(__pyx_t_17 == ((int)-1))) __PYX_ERR(0, 508, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":509 + * continue + * earlier_indices.append(earlier_item_idx) + * later_indices.append(later_item_idx) # <<<<<<<<<<<<<< + * aspect_indices.append(aspect_idx) + * pair_freq.append(count) + */ + __pyx_t_17 = __Pyx_PyObject_Append(__pyx_v_later_indices, __pyx_v_later_item_idx); if (unlikely(__pyx_t_17 == ((int)-1))) __PYX_ERR(0, 509, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":510 + * earlier_indices.append(earlier_item_idx) + * later_indices.append(later_item_idx) + * aspect_indices.append(aspect_idx) # <<<<<<<<<<<<<< + * pair_freq.append(count) + * earlier_indices = np.asarray(earlier_indices, dtype=np.int32).flatten() + */ + __pyx_t_17 = __Pyx_PyObject_Append(__pyx_v_aspect_indices, __pyx_v_aspect_idx); if (unlikely(__pyx_t_17 == ((int)-1))) __PYX_ERR(0, 510, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":511 + * later_indices.append(later_item_idx) + * aspect_indices.append(aspect_idx) + * pair_freq.append(count) # <<<<<<<<<<<<<< + * earlier_indices = np.asarray(earlier_indices, dtype=np.int32).flatten() + * later_indices = np.asarray(later_indices, dtype=np.int32).flatten() + */ + __pyx_t_17 = __Pyx_PyObject_Append(__pyx_v_pair_freq, __pyx_v_count); if (unlikely(__pyx_t_17 == ((int)-1))) __PYX_ERR(0, 511, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":505 + * + * earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [] + * for (earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), desc='Enumerate index'): # <<<<<<<<<<<<<< + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: + * continue + */ + __pyx_L35_continue:; + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":512 + * aspect_indices.append(aspect_idx) + * pair_freq.append(count) + * earlier_indices = np.asarray(earlier_indices, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * later_indices = np.asarray(later_indices, dtype=np.int32).flatten() + * aspect_indices = np.asarray(aspect_indices, dtype=np.int32).flatten() + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_asarray); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_earlier_indices); + __Pyx_GIVEREF(__pyx_v_earlier_indices); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_earlier_indices); + __pyx_t_2 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GetModuleGlobalName(__pyx_t_16, __pyx_n_s_np); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_16); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_16, __pyx_n_s_int32); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0; + if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_dtype, __pyx_t_6) < 0) __PYX_ERR(0, 512, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_3, __pyx_t_2); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_flatten); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_8 = (__pyx_t_6) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_6) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF_SET(__pyx_v_earlier_indices, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":513 + * pair_freq.append(count) + * earlier_indices = np.asarray(earlier_indices, dtype=np.int32).flatten() + * later_indices = np.asarray(later_indices, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * aspect_indices = np.asarray(aspect_indices, dtype=np.int32).flatten() + * pair_freq = np.asarray(pair_freq, dtype=np.int32).flatten() + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 513, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_asarray); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 513, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 513, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_later_indices); + __Pyx_GIVEREF(__pyx_v_later_indices); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_later_indices); + __pyx_t_3 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 513, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 513, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_16 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_int32); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 513, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_16); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_dtype, __pyx_t_16) < 0) __PYX_ERR(0, 513, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0; + __pyx_t_16 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_2, __pyx_t_3); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 513, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_16); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_16, __pyx_n_s_flatten); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 513, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0; + __pyx_t_16 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_16 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_16)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_16); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_8 = (__pyx_t_16) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_16) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_16); __pyx_t_16 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 513, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF_SET(__pyx_v_later_indices, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":514 + * earlier_indices = np.asarray(earlier_indices, dtype=np.int32).flatten() + * later_indices = np.asarray(later_indices, dtype=np.int32).flatten() + * aspect_indices = np.asarray(aspect_indices, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * pair_freq = np.asarray(pair_freq, dtype=np.int32).flatten() + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 514, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_16 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_asarray); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 514, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_16); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 514, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_aspect_indices); + __Pyx_GIVEREF(__pyx_v_aspect_indices); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_aspect_indices); + __pyx_t_2 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 514, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GetModuleGlobalName(__pyx_t_6, __pyx_n_s_np); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 514, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_int32); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 514, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_dtype, __pyx_t_11) < 0) __PYX_ERR(0, 514, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_Call(__pyx_t_16, __pyx_t_3, __pyx_t_2); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 514, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_flatten); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 514, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_8 = (__pyx_t_11) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_11) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 514, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF_SET(__pyx_v_aspect_indices, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":515 + * later_indices = np.asarray(later_indices, dtype=np.int32).flatten() + * aspect_indices = np.asarray(aspect_indices, dtype=np.int32).flatten() + * pair_freq = np.asarray(pair_freq, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 515, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_asarray); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 515, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 515, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_pair_freq); + __Pyx_GIVEREF(__pyx_v_pair_freq); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_pair_freq); + __pyx_t_3 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 515, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GetModuleGlobalName(__pyx_t_16, __pyx_n_s_np); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 515, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_16); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_16, __pyx_n_s_int32); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 515, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0; + if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_dtype, __pyx_t_6) < 0) __PYX_ERR(0, 515, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_2, __pyx_t_3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 515, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_flatten); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 515, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_8 = (__pyx_t_6) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_6) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 515, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF_SET(__pyx_v_pair_freq, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":517 + * pair_freq = np.asarray(pair_freq, dtype=np.int32).flatten() + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 517, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_10 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely(__pyx_t_10 < 0)) __PYX_ERR(0, 517, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (__pyx_t_10) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":518 + * + * if self.verbose: + * print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) # <<<<<<<<<<<<<< + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( + * self.min_pair_freq, + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_time); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 518, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_8 = (__pyx_t_6) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_6) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 518, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyNumber_Subtract(__pyx_t_8, __pyx_v_start_time); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 518, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_Building_chrono_purchared_items, __pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 518, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_8); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 518, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":519 + * if self.verbose: + * print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( # <<<<<<<<<<<<<< + * self.min_pair_freq, + * pair_freq[pair_freq>=self.min_pair_freq].shape[0], + */ + __pyx_t_3 = PyTuple_New(11); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 519, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = 0; + __pyx_t_19 = 127; + __Pyx_INCREF(__pyx_kp_u_Statistics_aspect_pairs); + __pyx_t_4 += 30; + __Pyx_GIVEREF(__pyx_kp_u_Statistics_aspect_pairs); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_u_Statistics_aspect_pairs); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":520 + * print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( + * self.min_pair_freq, # <<<<<<<<<<<<<< + * pair_freq[pair_freq>=self.min_pair_freq].shape[0], + * pair_freq.min(), + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_pair_freq); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 520, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = __Pyx_PyObject_FormatAndDecref(__Pyx_PyNumber_IntOrLong(__pyx_t_8), __pyx_n_u_d); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 520, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_19 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) > __pyx_t_19) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) : __pyx_t_19; + __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_INCREF(__pyx_kp_u__6); + __pyx_t_4 += 3; + __Pyx_GIVEREF(__pyx_kp_u__6); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_kp_u__6); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":521 + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( + * self.min_pair_freq, + * pair_freq[pair_freq>=self.min_pair_freq].shape[0], # <<<<<<<<<<<<<< + * pair_freq.min(), + * pair_freq.max(), + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_pair_freq); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 521, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_8 = PyObject_RichCompare(__pyx_v_pair_freq, __pyx_t_6, Py_GE); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 521, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyObject_GetItem(__pyx_v_pair_freq, __pyx_t_8); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 521, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_shape); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 521, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_GetItemInt(__pyx_t_8, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 521, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_FormatAndDecref(__Pyx_PyNumber_IntOrLong(__pyx_t_6), __pyx_n_u_d); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 521, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_19 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_8) > __pyx_t_19) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_8) : __pyx_t_19; + __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_8); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_3, 3, __pyx_t_8); + __pyx_t_8 = 0; + __Pyx_INCREF(__pyx_kp_u_min); + __pyx_t_4 += 6; + __Pyx_GIVEREF(__pyx_kp_u_min); + PyTuple_SET_ITEM(__pyx_t_3, 4, __pyx_kp_u_min); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":522 + * self.min_pair_freq, + * pair_freq[pair_freq>=self.min_pair_freq].shape[0], + * pair_freq.min(), # <<<<<<<<<<<<<< + * pair_freq.max(), + * pair_freq.mean())) + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_pair_freq, __pyx_n_s_min_2); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_2 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_6); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_6, function); + } + } + __pyx_t_8 = (__pyx_t_2) ? __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_t_2) : __Pyx_PyObject_CallNoArg(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyObject_Format(__pyx_t_8, __pyx_kp_u_2f); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_19 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) > __pyx_t_19) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) : __pyx_t_19; + __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_3, 5, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_INCREF(__pyx_kp_u_max_2); + __pyx_t_4 += 7; + __Pyx_GIVEREF(__pyx_kp_u_max_2); + PyTuple_SET_ITEM(__pyx_t_3, 6, __pyx_kp_u_max_2); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":523 + * pair_freq[pair_freq>=self.min_pair_freq].shape[0], + * pair_freq.min(), + * pair_freq.max(), # <<<<<<<<<<<<<< + * pair_freq.mean())) + * print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_pair_freq, __pyx_n_s_max); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_2 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_6 = (__pyx_t_2) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_2) : __Pyx_PyObject_CallNoArg(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Format(__pyx_t_6, __pyx_kp_u_2f); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_19 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_8) > __pyx_t_19) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_8) : __pyx_t_19; + __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_8); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_3, 7, __pyx_t_8); + __pyx_t_8 = 0; + __Pyx_INCREF(__pyx_kp_u_avg); + __pyx_t_4 += 7; + __Pyx_GIVEREF(__pyx_kp_u_avg); + PyTuple_SET_ITEM(__pyx_t_3, 8, __pyx_kp_u_avg); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":524 + * pair_freq.min(), + * pair_freq.max(), + * pair_freq.mean())) # <<<<<<<<<<<<<< + * print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( + * sum(chrono_purchased_pairs.values()), + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_pair_freq, __pyx_n_s_mean); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_2 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_6); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_6, function); + } + } + __pyx_t_8 = (__pyx_t_2) ? __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_t_2) : __Pyx_PyObject_CallNoArg(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyObject_Format(__pyx_t_8, __pyx_kp_u_2f); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_19 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) > __pyx_t_19) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) : __pyx_t_19; + __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_3, 9, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_INCREF(__pyx_kp_u__7); + __pyx_t_4 += 1; + __Pyx_GIVEREF(__pyx_kp_u__7); + PyTuple_SET_ITEM(__pyx_t_3, 10, __pyx_kp_u__7); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":519 + * if self.verbose: + * print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( # <<<<<<<<<<<<<< + * self.min_pair_freq, + * pair_freq[pair_freq>=self.min_pair_freq].shape[0], + */ + __pyx_t_6 = __Pyx_PyUnicode_Join(__pyx_t_3, 11, __pyx_t_4, __pyx_t_19); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 519, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 519, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":525 + * pair_freq.max(), + * pair_freq.mean())) + * print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( # <<<<<<<<<<<<<< + * sum(chrono_purchased_pairs.values()), + * len(chrono_purchased_pairs), + */ + __pyx_t_3 = PyTuple_New(8); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = 0; + __pyx_t_19 = 127; + __Pyx_INCREF(__pyx_kp_u_earlier_later_pairs); + __pyx_t_4 += 23; + __Pyx_GIVEREF(__pyx_kp_u_earlier_later_pairs); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_u_earlier_later_pairs); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":526 + * pair_freq.mean())) + * print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( + * sum(chrono_purchased_pairs.values()), # <<<<<<<<<<<<<< + * len(chrono_purchased_pairs), + * len(not_dominated_pairs), + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_chrono_purchased_pairs, __pyx_n_s_values); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_2 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_6 = (__pyx_t_2) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_2) : __Pyx_PyObject_CallNoArg(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_builtin_sum, __pyx_t_6); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyObject_FormatAndDecref(__Pyx_PyNumber_IntOrLong(__pyx_t_8), __pyx_n_u_d); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_19 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) > __pyx_t_19) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) : __pyx_t_19; + __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_INCREF(__pyx_kp_u_unique_earlier_later_pairs); + __pyx_t_4 += 32; + __Pyx_GIVEREF(__pyx_kp_u_unique_earlier_later_pairs); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_kp_u_unique_earlier_later_pairs); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":527 + * print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( + * sum(chrono_purchased_pairs.values()), + * len(chrono_purchased_pairs), # <<<<<<<<<<<<<< + * len(not_dominated_pairs), + * len(pair_freq) + */ + __pyx_t_9 = PyObject_Length(__pyx_v_chrono_purchased_pairs); if (unlikely(__pyx_t_9 == ((Py_ssize_t)-1))) __PYX_ERR(0, 527, __pyx_L1_error) + __pyx_t_6 = __Pyx_PyUnicode_From_Py_ssize_t(__pyx_t_9, 0, ' ', 'd'); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_3, 3, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_INCREF(__pyx_kp_u_not_dominated_pairs); + __pyx_t_4 += 22; + __Pyx_GIVEREF(__pyx_kp_u_not_dominated_pairs); + PyTuple_SET_ITEM(__pyx_t_3, 4, __pyx_kp_u_not_dominated_pairs); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":528 + * sum(chrono_purchased_pairs.values()), + * len(chrono_purchased_pairs), + * len(not_dominated_pairs), # <<<<<<<<<<<<<< + * len(pair_freq) + * )) + */ + __pyx_t_9 = PySet_GET_SIZE(__pyx_v_not_dominated_pairs); if (unlikely(__pyx_t_9 == ((Py_ssize_t)-1))) __PYX_ERR(0, 528, __pyx_L1_error) + __pyx_t_6 = __Pyx_PyUnicode_From_Py_ssize_t(__pyx_t_9, 0, ' ', 'd'); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_3, 5, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_INCREF(__pyx_kp_u_comparable_pairs); + __pyx_t_4 += 21; + __Pyx_GIVEREF(__pyx_kp_u_comparable_pairs); + PyTuple_SET_ITEM(__pyx_t_3, 6, __pyx_kp_u_comparable_pairs); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":529 + * len(chrono_purchased_pairs), + * len(not_dominated_pairs), + * len(pair_freq) # <<<<<<<<<<<<<< + * )) + * + */ + __pyx_t_9 = PyObject_Length(__pyx_v_pair_freq); if (unlikely(__pyx_t_9 == ((Py_ssize_t)-1))) __PYX_ERR(0, 529, __pyx_L1_error) + __pyx_t_6 = __Pyx_PyUnicode_From_Py_ssize_t(__pyx_t_9, 0, ' ', 'd'); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_3, 7, __pyx_t_6); + __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":525 + * pair_freq.max(), + * pair_freq.mean())) + * print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( # <<<<<<<<<<<<<< + * sum(chrono_purchased_pairs.values()), + * len(chrono_purchased_pairs), + */ + __pyx_t_6 = __Pyx_PyUnicode_Join(__pyx_t_3, 8, __pyx_t_4, __pyx_t_19); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":517 + * pair_freq = np.asarray(pair_freq, dtype=np.int32).flatten() + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":532 + * )) + * + * return earlier_indices, later_indices, aspect_indices, pair_freq # <<<<<<<<<<<<<< + * + * def _build_user_attention_matrix(self, data_set, sentiment): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_3 = PyTuple_New(4); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_earlier_indices); + __Pyx_GIVEREF(__pyx_v_earlier_indices); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_earlier_indices); + __Pyx_INCREF(__pyx_v_later_indices); + __Pyx_GIVEREF(__pyx_v_later_indices); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_later_indices); + __Pyx_INCREF(__pyx_v_aspect_indices); + __Pyx_GIVEREF(__pyx_v_aspect_indices); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_v_aspect_indices); + __Pyx_INCREF(__pyx_v_pair_freq); + __Pyx_GIVEREF(__pyx_v_pair_freq); + PyTuple_SET_ITEM(__pyx_t_3, 3, __pyx_v_pair_freq); + __pyx_r = __pyx_t_3; + __pyx_t_3 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":479 + * return rating_matrix + * + * def _build_chrono_purchased_pairs(self, data_set, Y): # <<<<<<<<<<<<<< + * start_time = time() + * from tqdm import tqdm + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_11); + __Pyx_XDECREF(__pyx_t_16); + __Pyx_XDECREF(__pyx_t_18); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._build_chrono_purchased_pairs", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_start_time); + __Pyx_XDECREF(__pyx_v_tqdm); + __Pyx_XDECREF(__pyx_v_chrono_purchased_pairs); + __Pyx_XDECREF(__pyx_v_item_ids); + __Pyx_XDECREF(__pyx_v__); + __Pyx_XDECREF(__pyx_v_window); + __Pyx_XDECREF(__pyx_v_sub_item_ids); + __Pyx_XDECREF(__pyx_v_earlier_item_idx); + __Pyx_XDECREF(__pyx_v_later_item_idx); + __Pyx_XDECREF(__pyx_v_pair_counts); + __Pyx_XDECREF(__pyx_v_not_dominated_pairs); + __Pyx_XDECREF(__pyx_v_common_aspect_counts); + __Pyx_XDECREF(__pyx_v_count); + __Pyx_XDECREF(__pyx_v_k); + __Pyx_XDECREF(__pyx_v_earlier_indices); + __Pyx_XDECREF(__pyx_v_later_indices); + __Pyx_XDECREF(__pyx_v_aspect_indices); + __Pyx_XDECREF(__pyx_v_pair_freq); + __Pyx_XDECREF(__pyx_v_aspect_idx); + __Pyx_XDECREF(__pyx_7genexpr__pyx_v_i); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":534 + * return earlier_indices, later_indices, aspect_indices, pair_freq + * + * def _build_user_attention_matrix(self, data_set, sentiment): # <<<<<<<<<<<<<< + * start_time = time() + * attention_scores = [] + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_19_build_user_attention_matrix(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_19_build_user_attention_matrix = {"_build_user_attention_matrix", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_19_build_user_attention_matrix, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_19_build_user_attention_matrix(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + CYTHON_UNUSED PyObject *__pyx_v_data_set = 0; + PyObject *__pyx_v_sentiment = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_build_user_attention_matrix (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_data_set,&__pyx_n_s_sentiment,0}; + PyObject* values[3] = {0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_data_set)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_user_attention_matrix", 1, 3, 3, 1); __PYX_ERR(0, 534, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sentiment)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_user_attention_matrix", 1, 3, 3, 2); __PYX_ERR(0, 534, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_build_user_attention_matrix") < 0)) __PYX_ERR(0, 534, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 3) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + } + __pyx_v_self = values[0]; + __pyx_v_data_set = values[1]; + __pyx_v_sentiment = values[2]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_build_user_attention_matrix", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 534, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._build_user_attention_matrix", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_18_build_user_attention_matrix(__pyx_self, __pyx_v_self, __pyx_v_data_set, __pyx_v_sentiment); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_18_build_user_attention_matrix(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v_data_set, PyObject *__pyx_v_sentiment) { + PyObject *__pyx_v_start_time = NULL; + PyObject *__pyx_v_attention_scores = NULL; + PyObject *__pyx_v_map_uid = NULL; + PyObject *__pyx_v_map_aspect_id = NULL; + PyObject *__pyx_v_uid = NULL; + PyObject *__pyx_v_sentiment_tup_ids_by_item = NULL; + PyObject *__pyx_v_user_aspects = NULL; + PyObject *__pyx_v_user_aspect_count = NULL; + PyObject *__pyx_v_aid = NULL; + PyObject *__pyx_v_count = NULL; + PyObject *__pyx_v_X = NULL; + PyObject *__pyx_8genexpr1__pyx_v_tup_id = NULL; + PyObject *__pyx_8genexpr1__pyx_v_tup = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + int __pyx_t_6; + int __pyx_t_7; + PyObject *__pyx_t_8 = NULL; + int __pyx_t_9; + Py_ssize_t __pyx_t_10; + Py_ssize_t __pyx_t_11; + int __pyx_t_12; + PyObject *__pyx_t_13 = NULL; + Py_ssize_t __pyx_t_14; + PyObject *(*__pyx_t_15)(PyObject *); + int __pyx_t_16; + PyObject *__pyx_t_17 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_build_user_attention_matrix", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":535 + * + * def _build_user_attention_matrix(self, data_set, sentiment): + * start_time = time() # <<<<<<<<<<<<<< + * attention_scores = [] + * map_uid = [] + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_time); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 535, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 535, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_start_time = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":536 + * def _build_user_attention_matrix(self, data_set, sentiment): + * start_time = time() + * attention_scores = [] # <<<<<<<<<<<<<< + * map_uid = [] + * map_aspect_id = [] + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 536, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_attention_scores = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":537 + * start_time = time() + * attention_scores = [] + * map_uid = [] # <<<<<<<<<<<<<< + * map_aspect_id = [] + * for uid, sentiment_tup_ids_by_item in sentiment.user_sentiment.items(): + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 537, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_map_uid = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":538 + * attention_scores = [] + * map_uid = [] + * map_aspect_id = [] # <<<<<<<<<<<<<< + * for uid, sentiment_tup_ids_by_item in sentiment.user_sentiment.items(): + * if self.train_set.is_unk_user(uid): + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 538, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_map_aspect_id = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":539 + * map_uid = [] + * map_aspect_id = [] + * for uid, sentiment_tup_ids_by_item in sentiment.user_sentiment.items(): # <<<<<<<<<<<<<< + * if self.train_set.is_unk_user(uid): + * continue + */ + __pyx_t_4 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_user_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (unlikely(__pyx_t_2 == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "items"); + __PYX_ERR(0, 539, __pyx_L1_error) + } + __pyx_t_3 = __Pyx_dict_iterator(__pyx_t_2, 0, __pyx_n_s_items, (&__pyx_t_5), (&__pyx_t_6)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_XDECREF(__pyx_t_1); + __pyx_t_1 = __pyx_t_3; + __pyx_t_3 = 0; + while (1) { + __pyx_t_7 = __Pyx_dict_iter_next(__pyx_t_1, __pyx_t_5, &__pyx_t_4, &__pyx_t_3, &__pyx_t_2, NULL, __pyx_t_6); + if (unlikely(__pyx_t_7 == 0)) break; + if (unlikely(__pyx_t_7 == -1)) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GOTREF(__pyx_t_2); + __Pyx_XDECREF_SET(__pyx_v_uid, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_XDECREF_SET(__pyx_v_sentiment_tup_ids_by_item, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":540 + * map_aspect_id = [] + * for uid, sentiment_tup_ids_by_item in sentiment.user_sentiment.items(): + * if self.train_set.is_unk_user(uid): # <<<<<<<<<<<<<< + * continue + * user_aspects = [tup[0] + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_is_unk_user); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_3, __pyx_v_uid) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_uid); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (__pyx_t_9) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":541 + * for uid, sentiment_tup_ids_by_item in sentiment.user_sentiment.items(): + * if self.train_set.is_unk_user(uid): + * continue # <<<<<<<<<<<<<< + * user_aspects = [tup[0] + * for tup_id in sentiment_tup_ids_by_item.values() + */ + goto __pyx_L3_continue; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":540 + * map_aspect_id = [] + * for uid, sentiment_tup_ids_by_item in sentiment.user_sentiment.items(): + * if self.train_set.is_unk_user(uid): # <<<<<<<<<<<<<< + * continue + * user_aspects = [tup[0] + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":542 + * if self.train_set.is_unk_user(uid): + * continue + * user_aspects = [tup[0] # <<<<<<<<<<<<<< + * for tup_id in sentiment_tup_ids_by_item.values() + * for tup in sentiment.sentiment[tup_id]] + */ + { /* enter inner scope */ + __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 542, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_2); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":543 + * continue + * user_aspects = [tup[0] + * for tup_id in sentiment_tup_ids_by_item.values() # <<<<<<<<<<<<<< + * for tup in sentiment.sentiment[tup_id]] + * user_aspect_count = Counter(user_aspects) + */ + __pyx_t_10 = 0; + if (unlikely(__pyx_v_sentiment_tup_ids_by_item == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "values"); + __PYX_ERR(0, 543, __pyx_L8_error) + } + __pyx_t_3 = __Pyx_dict_iterator(__pyx_v_sentiment_tup_ids_by_item, 0, __pyx_n_s_values, (&__pyx_t_11), (&__pyx_t_7)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 543, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_8); + __pyx_t_8 = __pyx_t_3; + __pyx_t_3 = 0; + while (1) { + __pyx_t_12 = __Pyx_dict_iter_next(__pyx_t_8, __pyx_t_11, &__pyx_t_10, NULL, &__pyx_t_3, NULL, __pyx_t_7); + if (unlikely(__pyx_t_12 == 0)) break; + if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 543, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_XDECREF_SET(__pyx_8genexpr1__pyx_v_tup_id, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":544 + * user_aspects = [tup[0] + * for tup_id in sentiment_tup_ids_by_item.values() + * for tup in sentiment.sentiment[tup_id]] # <<<<<<<<<<<<<< + * user_aspect_count = Counter(user_aspects) + * for aid, count in user_aspect_count.items(): + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 544, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_13 = __Pyx_PyObject_GetItem(__pyx_t_3, __pyx_8genexpr1__pyx_v_tup_id); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 544, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (likely(PyList_CheckExact(__pyx_t_13)) || PyTuple_CheckExact(__pyx_t_13)) { + __pyx_t_3 = __pyx_t_13; __Pyx_INCREF(__pyx_t_3); __pyx_t_14 = 0; + __pyx_t_15 = NULL; + } else { + __pyx_t_14 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_t_13); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 544, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_15 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 544, __pyx_L8_error) + } + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + for (;;) { + if (likely(!__pyx_t_15)) { + if (likely(PyList_CheckExact(__pyx_t_3))) { + if (__pyx_t_14 >= PyList_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_13 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_14); __Pyx_INCREF(__pyx_t_13); __pyx_t_14++; if (unlikely(0 < 0)) __PYX_ERR(0, 544, __pyx_L8_error) + #else + __pyx_t_13 = PySequence_ITEM(__pyx_t_3, __pyx_t_14); __pyx_t_14++; if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 544, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_13); + #endif + } else { + if (__pyx_t_14 >= PyTuple_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_13 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_14); __Pyx_INCREF(__pyx_t_13); __pyx_t_14++; if (unlikely(0 < 0)) __PYX_ERR(0, 544, __pyx_L8_error) + #else + __pyx_t_13 = PySequence_ITEM(__pyx_t_3, __pyx_t_14); __pyx_t_14++; if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 544, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_13); + #endif + } + } else { + __pyx_t_13 = __pyx_t_15(__pyx_t_3); + if (unlikely(!__pyx_t_13)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 544, __pyx_L8_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_13); + } + __Pyx_XDECREF_SET(__pyx_8genexpr1__pyx_v_tup, __pyx_t_13); + __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":542 + * if self.train_set.is_unk_user(uid): + * continue + * user_aspects = [tup[0] # <<<<<<<<<<<<<< + * for tup_id in sentiment_tup_ids_by_item.values() + * for tup in sentiment.sentiment[tup_id]] + */ + __pyx_t_13 = __Pyx_GetItemInt(__pyx_8genexpr1__pyx_v_tup, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 542, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_13); + if (unlikely(__Pyx_ListComp_Append(__pyx_t_2, (PyObject*)__pyx_t_13))) __PYX_ERR(0, 542, __pyx_L8_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":544 + * user_aspects = [tup[0] + * for tup_id in sentiment_tup_ids_by_item.values() + * for tup in sentiment.sentiment[tup_id]] # <<<<<<<<<<<<<< + * user_aspect_count = Counter(user_aspects) + * for aid, count in user_aspect_count.items(): + */ + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_XDECREF(__pyx_8genexpr1__pyx_v_tup); __pyx_8genexpr1__pyx_v_tup = 0; + __Pyx_XDECREF(__pyx_8genexpr1__pyx_v_tup_id); __pyx_8genexpr1__pyx_v_tup_id = 0; + goto __pyx_L13_exit_scope; + __pyx_L8_error:; + __Pyx_XDECREF(__pyx_8genexpr1__pyx_v_tup); __pyx_8genexpr1__pyx_v_tup = 0; + __Pyx_XDECREF(__pyx_8genexpr1__pyx_v_tup_id); __pyx_8genexpr1__pyx_v_tup_id = 0; + goto __pyx_L1_error; + __pyx_L13_exit_scope:; + } /* exit inner scope */ + __Pyx_XDECREF_SET(__pyx_v_user_aspects, ((PyObject*)__pyx_t_2)); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":545 + * for tup_id in sentiment_tup_ids_by_item.values() + * for tup in sentiment.sentiment[tup_id]] + * user_aspect_count = Counter(user_aspects) # <<<<<<<<<<<<<< + * for aid, count in user_aspect_count.items(): + * attention_scores.append(self._compute_attention_score(count)) + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_Counter); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_3, __pyx_v_user_aspects) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_user_aspects); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_XDECREF_SET(__pyx_v_user_aspect_count, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":546 + * for tup in sentiment.sentiment[tup_id]] + * user_aspect_count = Counter(user_aspects) + * for aid, count in user_aspect_count.items(): # <<<<<<<<<<<<<< + * attention_scores.append(self._compute_attention_score(count)) + * map_uid.append(uid) + */ + __pyx_t_11 = 0; + if (unlikely(__pyx_v_user_aspect_count == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "items"); + __PYX_ERR(0, 546, __pyx_L1_error) + } + __pyx_t_8 = __Pyx_dict_iterator(__pyx_v_user_aspect_count, 0, __pyx_n_s_items, (&__pyx_t_10), (&__pyx_t_7)); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_2); + __pyx_t_2 = __pyx_t_8; + __pyx_t_8 = 0; + while (1) { + __pyx_t_12 = __Pyx_dict_iter_next(__pyx_t_2, __pyx_t_10, &__pyx_t_11, &__pyx_t_8, &__pyx_t_3, NULL, __pyx_t_7); + if (unlikely(__pyx_t_12 == 0)) break; + if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_GOTREF(__pyx_t_3); + __Pyx_XDECREF_SET(__pyx_v_aid, __pyx_t_8); + __pyx_t_8 = 0; + __Pyx_XDECREF_SET(__pyx_v_count, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":547 + * user_aspect_count = Counter(user_aspects) + * for aid, count in user_aspect_count.items(): + * attention_scores.append(self._compute_attention_score(count)) # <<<<<<<<<<<<<< + * map_uid.append(uid) + * map_aspect_id.append(aid) + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_compute_attention_score); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_3 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_13, __pyx_v_count) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_count); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_16 = __Pyx_PyObject_Append(__pyx_v_attention_scores, __pyx_t_3); if (unlikely(__pyx_t_16 == ((int)-1))) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":548 + * for aid, count in user_aspect_count.items(): + * attention_scores.append(self._compute_attention_score(count)) + * map_uid.append(uid) # <<<<<<<<<<<<<< + * map_aspect_id.append(aid) + * attention_scores = np.asarray(attention_scores, dtype=np.float32).flatten() + */ + __pyx_t_16 = __Pyx_PyObject_Append(__pyx_v_map_uid, __pyx_v_uid); if (unlikely(__pyx_t_16 == ((int)-1))) __PYX_ERR(0, 548, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":549 + * attention_scores.append(self._compute_attention_score(count)) + * map_uid.append(uid) + * map_aspect_id.append(aid) # <<<<<<<<<<<<<< + * attention_scores = np.asarray(attention_scores, dtype=np.float32).flatten() + * map_uid = np.asarray(map_uid, dtype=np.int32).flatten() + */ + __pyx_t_16 = __Pyx_PyObject_Append(__pyx_v_map_aspect_id, __pyx_v_aid); if (unlikely(__pyx_t_16 == ((int)-1))) __PYX_ERR(0, 549, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_L3_continue:; + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":550 + * map_uid.append(uid) + * map_aspect_id.append(aid) + * attention_scores = np.asarray(attention_scores, dtype=np.float32).flatten() # <<<<<<<<<<<<<< + * map_uid = np.asarray(map_uid, dtype=np.int32).flatten() + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_asarray); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_attention_scores); + __Pyx_GIVEREF(__pyx_v_attention_scores); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_attention_scores); + __pyx_t_8 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_float32); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_dtype, __pyx_t_17) < 0) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_17 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_2, __pyx_t_8); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_17, __pyx_n_s_flatten); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_17 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_17 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_17)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_17); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_1 = (__pyx_t_17) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_17) : __Pyx_PyObject_CallNoArg(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_17); __pyx_t_17 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF_SET(__pyx_v_attention_scores, __pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":551 + * map_aspect_id.append(aid) + * attention_scores = np.asarray(attention_scores, dtype=np.float32).flatten() + * map_uid = np.asarray(map_uid, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + * X = sp.csr_matrix((attention_scores, (map_uid, map_aspect_id)), + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_asarray); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = PyTuple_New(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_INCREF(__pyx_v_map_uid); + __Pyx_GIVEREF(__pyx_v_map_uid); + PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_v_map_uid); + __pyx_t_2 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_int32); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_dtype, __pyx_t_13) < 0) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_17, __pyx_t_8, __pyx_t_2); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_flatten); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_13) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_13) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF_SET(__pyx_v_map_uid, __pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":552 + * attention_scores = np.asarray(attention_scores, dtype=np.float32).flatten() + * map_uid = np.asarray(map_uid, dtype=np.int32).flatten() + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * X = sp.csr_matrix((attention_scores, (map_uid, map_aspect_id)), + * shape=(self.train_set.num_users, sentiment.num_aspects)) + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_asarray); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_map_aspect_id); + __Pyx_GIVEREF(__pyx_v_map_aspect_id); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_map_aspect_id); + __pyx_t_8 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_GetModuleGlobalName(__pyx_t_17, __pyx_n_s_np); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_17, __pyx_n_s_int32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_13, __pyx_t_2, __pyx_t_8); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_flatten); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF_SET(__pyx_v_map_aspect_id, __pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":553 + * map_uid = np.asarray(map_uid, dtype=np.int32).flatten() + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + * X = sp.csr_matrix((attention_scores, (map_uid, map_aspect_id)), # <<<<<<<<<<<<<< + * shape=(self.train_set.num_users, sentiment.num_aspects)) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_sp); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_csr_matrix); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_map_uid); + __Pyx_GIVEREF(__pyx_v_map_uid); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_map_uid); + __Pyx_INCREF(__pyx_v_map_aspect_id); + __Pyx_GIVEREF(__pyx_v_map_aspect_id); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_map_aspect_id); + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_attention_scores); + __Pyx_GIVEREF(__pyx_v_attention_scores); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_attention_scores); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":554 + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + * X = sp.csr_matrix((attention_scores, (map_uid, map_aspect_id)), + * shape=(self.train_set.num_users, sentiment.num_aspects)) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_t_3 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_users); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_17 = PyTuple_New(2); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_GIVEREF(__pyx_t_13); + PyTuple_SET_ITEM(__pyx_t_17, 0, __pyx_t_13); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_17, 1, __pyx_t_2); + __pyx_t_13 = 0; + __pyx_t_2 = 0; + if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_shape, __pyx_t_17) < 0) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":553 + * map_uid = np.asarray(map_uid, dtype=np.int32).flatten() + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + * X = sp.csr_matrix((attention_scores, (map_uid, map_aspect_id)), # <<<<<<<<<<<<<< + * shape=(self.train_set.num_users, sentiment.num_aspects)) + * + */ + __pyx_t_17 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_1, __pyx_t_3); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_X = __pyx_t_17; + __pyx_t_17 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":556 + * shape=(self.train_set.num_users, sentiment.num_aspects)) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building user aspect attention matrix completed in %d s' % (time() - start_time)) + * + */ + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_17); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + if (__pyx_t_9) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":557 + * + * if self.verbose: + * print('Building user aspect attention matrix completed in %d s' % (time() - start_time)) # <<<<<<<<<<<<<< + * + * return X + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_time); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_17 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyNumber_Subtract(__pyx_t_17, __pyx_v_start_time); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_17 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_Building_user_aspect_attention_m, __pyx_t_3); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_17); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":556 + * shape=(self.train_set.num_users, sentiment.num_aspects)) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building user aspect attention matrix completed in %d s' % (time() - start_time)) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":559 + * print('Building user aspect attention matrix completed in %d s' % (time() - start_time)) + * + * return X # <<<<<<<<<<<<<< + * + * def _build_item_quality_matrix(self, data_set, sentiment): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_X); + __pyx_r = __pyx_v_X; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":534 + * return earlier_indices, later_indices, aspect_indices, pair_freq + * + * def _build_user_attention_matrix(self, data_set, sentiment): # <<<<<<<<<<<<<< + * start_time = time() + * attention_scores = [] + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_13); + __Pyx_XDECREF(__pyx_t_17); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._build_user_attention_matrix", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_start_time); + __Pyx_XDECREF(__pyx_v_attention_scores); + __Pyx_XDECREF(__pyx_v_map_uid); + __Pyx_XDECREF(__pyx_v_map_aspect_id); + __Pyx_XDECREF(__pyx_v_uid); + __Pyx_XDECREF(__pyx_v_sentiment_tup_ids_by_item); + __Pyx_XDECREF(__pyx_v_user_aspects); + __Pyx_XDECREF(__pyx_v_user_aspect_count); + __Pyx_XDECREF(__pyx_v_aid); + __Pyx_XDECREF(__pyx_v_count); + __Pyx_XDECREF(__pyx_v_X); + __Pyx_XDECREF(__pyx_8genexpr1__pyx_v_tup_id); + __Pyx_XDECREF(__pyx_8genexpr1__pyx_v_tup); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":561 + * return X + * + * def _build_item_quality_matrix(self, data_set, sentiment): # <<<<<<<<<<<<<< + * start_time = time() + * quality_scores = [] + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_21_build_item_quality_matrix(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_21_build_item_quality_matrix = {"_build_item_quality_matrix", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_21_build_item_quality_matrix, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_21_build_item_quality_matrix(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + CYTHON_UNUSED PyObject *__pyx_v_data_set = 0; + PyObject *__pyx_v_sentiment = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_build_item_quality_matrix (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_data_set,&__pyx_n_s_sentiment,0}; + PyObject* values[3] = {0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_data_set)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_item_quality_matrix", 1, 3, 3, 1); __PYX_ERR(0, 561, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sentiment)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_item_quality_matrix", 1, 3, 3, 2); __PYX_ERR(0, 561, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_build_item_quality_matrix") < 0)) __PYX_ERR(0, 561, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 3) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + } + __pyx_v_self = values[0]; + __pyx_v_data_set = values[1]; + __pyx_v_sentiment = values[2]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_build_item_quality_matrix", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 561, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._build_item_quality_matrix", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_20_build_item_quality_matrix(__pyx_self, __pyx_v_self, __pyx_v_data_set, __pyx_v_sentiment); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_20_build_item_quality_matrix(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v_data_set, PyObject *__pyx_v_sentiment) { + PyObject *__pyx_v_start_time = NULL; + PyObject *__pyx_v_quality_scores = NULL; + PyObject *__pyx_v_map_iid = NULL; + PyObject *__pyx_v_map_aspect_id = NULL; + PyObject *__pyx_v_iid = NULL; + PyObject *__pyx_v_sentiment_tup_ids_by_user = NULL; + PyObject *__pyx_v_item_aspects = NULL; + PyObject *__pyx_v_item_aspect_count = NULL; + PyObject *__pyx_v_total_sentiment_by_aspect = NULL; + PyObject *__pyx_v_tup_id = NULL; + PyObject *__pyx_v_aid = NULL; + CYTHON_UNUSED PyObject *__pyx_v__ = NULL; + PyObject *__pyx_v_sentiment_polarity = NULL; + PyObject *__pyx_v_total_sentiment = NULL; + PyObject *__pyx_v_avg_sentiment = NULL; + PyObject *__pyx_v_Y = NULL; + PyObject *__pyx_8genexpr2__pyx_v_tup_id = NULL; + PyObject *__pyx_8genexpr2__pyx_v_tup = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + int __pyx_t_6; + int __pyx_t_7; + PyObject *__pyx_t_8 = NULL; + int __pyx_t_9; + Py_ssize_t __pyx_t_10; + Py_ssize_t __pyx_t_11; + int __pyx_t_12; + PyObject *__pyx_t_13 = NULL; + Py_ssize_t __pyx_t_14; + PyObject *(*__pyx_t_15)(PyObject *); + PyObject *__pyx_t_16 = NULL; + PyObject *__pyx_t_17 = NULL; + PyObject *__pyx_t_18 = NULL; + PyObject *(*__pyx_t_19)(PyObject *); + int __pyx_t_20; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_build_item_quality_matrix", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":562 + * + * def _build_item_quality_matrix(self, data_set, sentiment): + * start_time = time() # <<<<<<<<<<<<<< + * quality_scores = [] + * map_iid = [] + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_time); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 562, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 562, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_start_time = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":563 + * def _build_item_quality_matrix(self, data_set, sentiment): + * start_time = time() + * quality_scores = [] # <<<<<<<<<<<<<< + * map_iid = [] + * map_aspect_id = [] + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 563, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_quality_scores = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":564 + * start_time = time() + * quality_scores = [] + * map_iid = [] # <<<<<<<<<<<<<< + * map_aspect_id = [] + * for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 564, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_map_iid = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":565 + * quality_scores = [] + * map_iid = [] + * map_aspect_id = [] # <<<<<<<<<<<<<< + * for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): + * if self.train_set.is_unk_item(iid): + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 565, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_map_aspect_id = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":566 + * map_iid = [] + * map_aspect_id = [] + * for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): # <<<<<<<<<<<<<< + * if self.train_set.is_unk_item(iid): + * continue + */ + __pyx_t_4 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_item_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 566, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (unlikely(__pyx_t_2 == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "items"); + __PYX_ERR(0, 566, __pyx_L1_error) + } + __pyx_t_3 = __Pyx_dict_iterator(__pyx_t_2, 0, __pyx_n_s_items, (&__pyx_t_5), (&__pyx_t_6)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 566, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_XDECREF(__pyx_t_1); + __pyx_t_1 = __pyx_t_3; + __pyx_t_3 = 0; + while (1) { + __pyx_t_7 = __Pyx_dict_iter_next(__pyx_t_1, __pyx_t_5, &__pyx_t_4, &__pyx_t_3, &__pyx_t_2, NULL, __pyx_t_6); + if (unlikely(__pyx_t_7 == 0)) break; + if (unlikely(__pyx_t_7 == -1)) __PYX_ERR(0, 566, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GOTREF(__pyx_t_2); + __Pyx_XDECREF_SET(__pyx_v_iid, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_XDECREF_SET(__pyx_v_sentiment_tup_ids_by_user, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":567 + * map_aspect_id = [] + * for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): + * if self.train_set.is_unk_item(iid): # <<<<<<<<<<<<<< + * continue + * item_aspects = [tup[0] + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 567, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_is_unk_item); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 567, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_3, __pyx_v_iid) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_iid); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 567, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 567, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (__pyx_t_9) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":568 + * for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): + * if self.train_set.is_unk_item(iid): + * continue # <<<<<<<<<<<<<< + * item_aspects = [tup[0] + * for tup_id in sentiment_tup_ids_by_user.values() + */ + goto __pyx_L3_continue; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":567 + * map_aspect_id = [] + * for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): + * if self.train_set.is_unk_item(iid): # <<<<<<<<<<<<<< + * continue + * item_aspects = [tup[0] + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":569 + * if self.train_set.is_unk_item(iid): + * continue + * item_aspects = [tup[0] # <<<<<<<<<<<<<< + * for tup_id in sentiment_tup_ids_by_user.values() + * for tup in sentiment.sentiment[tup_id]] + */ + { /* enter inner scope */ + __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 569, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_2); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":570 + * continue + * item_aspects = [tup[0] + * for tup_id in sentiment_tup_ids_by_user.values() # <<<<<<<<<<<<<< + * for tup in sentiment.sentiment[tup_id]] + * item_aspect_count = Counter(item_aspects) + */ + __pyx_t_10 = 0; + if (unlikely(__pyx_v_sentiment_tup_ids_by_user == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "values"); + __PYX_ERR(0, 570, __pyx_L8_error) + } + __pyx_t_3 = __Pyx_dict_iterator(__pyx_v_sentiment_tup_ids_by_user, 0, __pyx_n_s_values, (&__pyx_t_11), (&__pyx_t_7)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 570, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_8); + __pyx_t_8 = __pyx_t_3; + __pyx_t_3 = 0; + while (1) { + __pyx_t_12 = __Pyx_dict_iter_next(__pyx_t_8, __pyx_t_11, &__pyx_t_10, NULL, &__pyx_t_3, NULL, __pyx_t_7); + if (unlikely(__pyx_t_12 == 0)) break; + if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 570, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_XDECREF_SET(__pyx_8genexpr2__pyx_v_tup_id, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":571 + * item_aspects = [tup[0] + * for tup_id in sentiment_tup_ids_by_user.values() + * for tup in sentiment.sentiment[tup_id]] # <<<<<<<<<<<<<< + * item_aspect_count = Counter(item_aspects) + * total_sentiment_by_aspect = OrderedDict() + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 571, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_13 = __Pyx_PyObject_GetItem(__pyx_t_3, __pyx_8genexpr2__pyx_v_tup_id); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 571, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (likely(PyList_CheckExact(__pyx_t_13)) || PyTuple_CheckExact(__pyx_t_13)) { + __pyx_t_3 = __pyx_t_13; __Pyx_INCREF(__pyx_t_3); __pyx_t_14 = 0; + __pyx_t_15 = NULL; + } else { + __pyx_t_14 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_t_13); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 571, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_15 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 571, __pyx_L8_error) + } + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + for (;;) { + if (likely(!__pyx_t_15)) { + if (likely(PyList_CheckExact(__pyx_t_3))) { + if (__pyx_t_14 >= PyList_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_13 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_14); __Pyx_INCREF(__pyx_t_13); __pyx_t_14++; if (unlikely(0 < 0)) __PYX_ERR(0, 571, __pyx_L8_error) + #else + __pyx_t_13 = PySequence_ITEM(__pyx_t_3, __pyx_t_14); __pyx_t_14++; if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 571, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_13); + #endif + } else { + if (__pyx_t_14 >= PyTuple_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_13 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_14); __Pyx_INCREF(__pyx_t_13); __pyx_t_14++; if (unlikely(0 < 0)) __PYX_ERR(0, 571, __pyx_L8_error) + #else + __pyx_t_13 = PySequence_ITEM(__pyx_t_3, __pyx_t_14); __pyx_t_14++; if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 571, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_13); + #endif + } + } else { + __pyx_t_13 = __pyx_t_15(__pyx_t_3); + if (unlikely(!__pyx_t_13)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 571, __pyx_L8_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_13); + } + __Pyx_XDECREF_SET(__pyx_8genexpr2__pyx_v_tup, __pyx_t_13); + __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":569 + * if self.train_set.is_unk_item(iid): + * continue + * item_aspects = [tup[0] # <<<<<<<<<<<<<< + * for tup_id in sentiment_tup_ids_by_user.values() + * for tup in sentiment.sentiment[tup_id]] + */ + __pyx_t_13 = __Pyx_GetItemInt(__pyx_8genexpr2__pyx_v_tup, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 569, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_13); + if (unlikely(__Pyx_ListComp_Append(__pyx_t_2, (PyObject*)__pyx_t_13))) __PYX_ERR(0, 569, __pyx_L8_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":571 + * item_aspects = [tup[0] + * for tup_id in sentiment_tup_ids_by_user.values() + * for tup in sentiment.sentiment[tup_id]] # <<<<<<<<<<<<<< + * item_aspect_count = Counter(item_aspects) + * total_sentiment_by_aspect = OrderedDict() + */ + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_XDECREF(__pyx_8genexpr2__pyx_v_tup); __pyx_8genexpr2__pyx_v_tup = 0; + __Pyx_XDECREF(__pyx_8genexpr2__pyx_v_tup_id); __pyx_8genexpr2__pyx_v_tup_id = 0; + goto __pyx_L13_exit_scope; + __pyx_L8_error:; + __Pyx_XDECREF(__pyx_8genexpr2__pyx_v_tup); __pyx_8genexpr2__pyx_v_tup = 0; + __Pyx_XDECREF(__pyx_8genexpr2__pyx_v_tup_id); __pyx_8genexpr2__pyx_v_tup_id = 0; + goto __pyx_L1_error; + __pyx_L13_exit_scope:; + } /* exit inner scope */ + __Pyx_XDECREF_SET(__pyx_v_item_aspects, ((PyObject*)__pyx_t_2)); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":572 + * for tup_id in sentiment_tup_ids_by_user.values() + * for tup in sentiment.sentiment[tup_id]] + * item_aspect_count = Counter(item_aspects) # <<<<<<<<<<<<<< + * total_sentiment_by_aspect = OrderedDict() + * for tup_id in sentiment_tup_ids_by_user.values(): + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_Counter); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 572, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_3, __pyx_v_item_aspects) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_item_aspects); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 572, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_XDECREF_SET(__pyx_v_item_aspect_count, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":573 + * for tup in sentiment.sentiment[tup_id]] + * item_aspect_count = Counter(item_aspects) + * total_sentiment_by_aspect = OrderedDict() # <<<<<<<<<<<<<< + * for tup_id in sentiment_tup_ids_by_user.values(): + * for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 573, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 573, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_XDECREF_SET(__pyx_v_total_sentiment_by_aspect, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":574 + * item_aspect_count = Counter(item_aspects) + * total_sentiment_by_aspect = OrderedDict() + * for tup_id in sentiment_tup_ids_by_user.values(): # <<<<<<<<<<<<<< + * for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: + * total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity + */ + __pyx_t_11 = 0; + if (unlikely(__pyx_v_sentiment_tup_ids_by_user == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "values"); + __PYX_ERR(0, 574, __pyx_L1_error) + } + __pyx_t_8 = __Pyx_dict_iterator(__pyx_v_sentiment_tup_ids_by_user, 0, __pyx_n_s_values, (&__pyx_t_10), (&__pyx_t_7)); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 574, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_2); + __pyx_t_2 = __pyx_t_8; + __pyx_t_8 = 0; + while (1) { + __pyx_t_12 = __Pyx_dict_iter_next(__pyx_t_2, __pyx_t_10, &__pyx_t_11, NULL, &__pyx_t_8, NULL, __pyx_t_7); + if (unlikely(__pyx_t_12 == 0)) break; + if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 574, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_XDECREF_SET(__pyx_v_tup_id, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":575 + * total_sentiment_by_aspect = OrderedDict() + * for tup_id in sentiment_tup_ids_by_user.values(): + * for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: # <<<<<<<<<<<<<< + * total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity + * for aid, total_sentiment in total_sentiment_by_aspect.items(): + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 575, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetItem(__pyx_t_8, __pyx_v_tup_id); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 575, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (likely(PyList_CheckExact(__pyx_t_3)) || PyTuple_CheckExact(__pyx_t_3)) { + __pyx_t_8 = __pyx_t_3; __Pyx_INCREF(__pyx_t_8); __pyx_t_14 = 0; + __pyx_t_15 = NULL; + } else { + __pyx_t_14 = -1; __pyx_t_8 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 575, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_15 = Py_TYPE(__pyx_t_8)->tp_iternext; if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 575, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + for (;;) { + if (likely(!__pyx_t_15)) { + if (likely(PyList_CheckExact(__pyx_t_8))) { + if (__pyx_t_14 >= PyList_GET_SIZE(__pyx_t_8)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyList_GET_ITEM(__pyx_t_8, __pyx_t_14); __Pyx_INCREF(__pyx_t_3); __pyx_t_14++; if (unlikely(0 < 0)) __PYX_ERR(0, 575, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_8, __pyx_t_14); __pyx_t_14++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 575, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + } else { + if (__pyx_t_14 >= PyTuple_GET_SIZE(__pyx_t_8)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_8, __pyx_t_14); __Pyx_INCREF(__pyx_t_3); __pyx_t_14++; if (unlikely(0 < 0)) __PYX_ERR(0, 575, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_8, __pyx_t_14); __pyx_t_14++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 575, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + } + } else { + __pyx_t_3 = __pyx_t_15(__pyx_t_8); + if (unlikely(!__pyx_t_3)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 575, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_3); + } + if ((likely(PyTuple_CheckExact(__pyx_t_3))) || (PyList_CheckExact(__pyx_t_3))) { + PyObject* sequence = __pyx_t_3; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 3)) { + if (size > 3) __Pyx_RaiseTooManyValuesError(3); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 575, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_13 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_16 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_17 = PyTuple_GET_ITEM(sequence, 2); + } else { + __pyx_t_13 = PyList_GET_ITEM(sequence, 0); + __pyx_t_16 = PyList_GET_ITEM(sequence, 1); + __pyx_t_17 = PyList_GET_ITEM(sequence, 2); + } + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(__pyx_t_16); + __Pyx_INCREF(__pyx_t_17); + #else + __pyx_t_13 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 575, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_16 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 575, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_16); + __pyx_t_17 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 575, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + #endif + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_18 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 575, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_18); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_19 = Py_TYPE(__pyx_t_18)->tp_iternext; + index = 0; __pyx_t_13 = __pyx_t_19(__pyx_t_18); if (unlikely(!__pyx_t_13)) goto __pyx_L18_unpacking_failed; + __Pyx_GOTREF(__pyx_t_13); + index = 1; __pyx_t_16 = __pyx_t_19(__pyx_t_18); if (unlikely(!__pyx_t_16)) goto __pyx_L18_unpacking_failed; + __Pyx_GOTREF(__pyx_t_16); + index = 2; __pyx_t_17 = __pyx_t_19(__pyx_t_18); if (unlikely(!__pyx_t_17)) goto __pyx_L18_unpacking_failed; + __Pyx_GOTREF(__pyx_t_17); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_19(__pyx_t_18), 3) < 0) __PYX_ERR(0, 575, __pyx_L1_error) + __pyx_t_19 = NULL; + __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0; + goto __pyx_L19_unpacking_done; + __pyx_L18_unpacking_failed:; + __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0; + __pyx_t_19 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 575, __pyx_L1_error) + __pyx_L19_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_aid, __pyx_t_13); + __pyx_t_13 = 0; + __Pyx_XDECREF_SET(__pyx_v__, __pyx_t_16); + __pyx_t_16 = 0; + __Pyx_XDECREF_SET(__pyx_v_sentiment_polarity, __pyx_t_17); + __pyx_t_17 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":576 + * for tup_id in sentiment_tup_ids_by_user.values(): + * for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: + * total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity # <<<<<<<<<<<<<< + * for aid, total_sentiment in total_sentiment_by_aspect.items(): + * map_iid.append(iid) + */ + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_v_total_sentiment_by_aspect, __pyx_n_s_get); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 576, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_16 = NULL; + __pyx_t_12 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_17))) { + __pyx_t_16 = PyMethod_GET_SELF(__pyx_t_17); + if (likely(__pyx_t_16)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_17); + __Pyx_INCREF(__pyx_t_16); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_17, function); + __pyx_t_12 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_17)) { + PyObject *__pyx_temp[3] = {__pyx_t_16, __pyx_v_aid, __pyx_int_0}; + __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_17, __pyx_temp+1-__pyx_t_12, 2+__pyx_t_12); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 576, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_16); __pyx_t_16 = 0; + __Pyx_GOTREF(__pyx_t_3); + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_17)) { + PyObject *__pyx_temp[3] = {__pyx_t_16, __pyx_v_aid, __pyx_int_0}; + __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_17, __pyx_temp+1-__pyx_t_12, 2+__pyx_t_12); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 576, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_16); __pyx_t_16 = 0; + __Pyx_GOTREF(__pyx_t_3); + } else + #endif + { + __pyx_t_13 = PyTuple_New(2+__pyx_t_12); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 576, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + if (__pyx_t_16) { + __Pyx_GIVEREF(__pyx_t_16); PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_t_16); __pyx_t_16 = NULL; + } + __Pyx_INCREF(__pyx_v_aid); + __Pyx_GIVEREF(__pyx_v_aid); + PyTuple_SET_ITEM(__pyx_t_13, 0+__pyx_t_12, __pyx_v_aid); + __Pyx_INCREF(__pyx_int_0); + __Pyx_GIVEREF(__pyx_int_0); + PyTuple_SET_ITEM(__pyx_t_13, 1+__pyx_t_12, __pyx_int_0); + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_17, __pyx_t_13, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 576, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + } + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_17 = PyNumber_Add(__pyx_t_3, __pyx_v_sentiment_polarity); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 576, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(PyObject_SetItem(__pyx_v_total_sentiment_by_aspect, __pyx_v_aid, __pyx_t_17) < 0)) __PYX_ERR(0, 576, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":575 + * total_sentiment_by_aspect = OrderedDict() + * for tup_id in sentiment_tup_ids_by_user.values(): + * for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: # <<<<<<<<<<<<<< + * total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity + * for aid, total_sentiment in total_sentiment_by_aspect.items(): + */ + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":577 + * for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: + * total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity + * for aid, total_sentiment in total_sentiment_by_aspect.items(): # <<<<<<<<<<<<<< + * map_iid.append(iid) + * map_aspect_id.append(aid) + */ + __pyx_t_10 = 0; + if (unlikely(__pyx_v_total_sentiment_by_aspect == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "items"); + __PYX_ERR(0, 577, __pyx_L1_error) + } + __pyx_t_8 = __Pyx_dict_iterator(__pyx_v_total_sentiment_by_aspect, 0, __pyx_n_s_items, (&__pyx_t_11), (&__pyx_t_7)); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 577, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_2); + __pyx_t_2 = __pyx_t_8; + __pyx_t_8 = 0; + while (1) { + __pyx_t_12 = __Pyx_dict_iter_next(__pyx_t_2, __pyx_t_11, &__pyx_t_10, &__pyx_t_8, &__pyx_t_17, NULL, __pyx_t_7); + if (unlikely(__pyx_t_12 == 0)) break; + if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 577, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_GOTREF(__pyx_t_17); + __Pyx_XDECREF_SET(__pyx_v_aid, __pyx_t_8); + __pyx_t_8 = 0; + __Pyx_XDECREF_SET(__pyx_v_total_sentiment, __pyx_t_17); + __pyx_t_17 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":578 + * total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity + * for aid, total_sentiment in total_sentiment_by_aspect.items(): + * map_iid.append(iid) # <<<<<<<<<<<<<< + * map_aspect_id.append(aid) + * if self.use_item_aspect_popularity: + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_map_iid, __pyx_v_iid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 578, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":579 + * for aid, total_sentiment in total_sentiment_by_aspect.items(): + * map_iid.append(iid) + * map_aspect_id.append(aid) # <<<<<<<<<<<<<< + * if self.use_item_aspect_popularity: + * quality_scores.append(self._compute_quality_score(total_sentiment)) + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_map_aspect_id, __pyx_v_aid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 579, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":580 + * map_iid.append(iid) + * map_aspect_id.append(aid) + * if self.use_item_aspect_popularity: # <<<<<<<<<<<<<< + * quality_scores.append(self._compute_quality_score(total_sentiment)) + * else: + */ + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_use_item_aspect_popularity); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 580, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_17); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 580, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + if (__pyx_t_9) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":581 + * map_aspect_id.append(aid) + * if self.use_item_aspect_popularity: + * quality_scores.append(self._compute_quality_score(total_sentiment)) # <<<<<<<<<<<<<< + * else: + * avg_sentiment = total_sentiment / item_aspect_count[aid] + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_compute_quality_score); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 581, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_17 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_3, __pyx_v_total_sentiment) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_total_sentiment); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 581, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_quality_scores, __pyx_t_17); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 581, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":580 + * map_iid.append(iid) + * map_aspect_id.append(aid) + * if self.use_item_aspect_popularity: # <<<<<<<<<<<<<< + * quality_scores.append(self._compute_quality_score(total_sentiment)) + * else: + */ + goto __pyx_L22; + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":583 + * quality_scores.append(self._compute_quality_score(total_sentiment)) + * else: + * avg_sentiment = total_sentiment / item_aspect_count[aid] # <<<<<<<<<<<<<< + * quality_scores.append(self._compute_quality_score(avg_sentiment)) + * quality_scores = np.asarray(quality_scores, dtype=np.float32).flatten() + */ + /*else*/ { + __pyx_t_17 = __Pyx_PyObject_GetItem(__pyx_v_item_aspect_count, __pyx_v_aid); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 583, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_8 = __Pyx_PyNumber_Divide(__pyx_v_total_sentiment, __pyx_t_17); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 583, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_XDECREF_SET(__pyx_v_avg_sentiment, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":584 + * else: + * avg_sentiment = total_sentiment / item_aspect_count[aid] + * quality_scores.append(self._compute_quality_score(avg_sentiment)) # <<<<<<<<<<<<<< + * quality_scores = np.asarray(quality_scores, dtype=np.float32).flatten() + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + */ + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_compute_quality_score); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 584, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_17))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_17); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_17); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_17, function); + } + } + __pyx_t_8 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_17, __pyx_t_3, __pyx_v_avg_sentiment) : __Pyx_PyObject_CallOneArg(__pyx_t_17, __pyx_v_avg_sentiment); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 584, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_quality_scores, __pyx_t_8); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 584, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + } + __pyx_L22:; + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_L3_continue:; + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":585 + * avg_sentiment = total_sentiment / item_aspect_count[aid] + * quality_scores.append(self._compute_quality_score(avg_sentiment)) + * quality_scores = np.asarray(quality_scores, dtype=np.float32).flatten() # <<<<<<<<<<<<<< + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 585, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_asarray); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 585, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 585, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_quality_scores); + __Pyx_GIVEREF(__pyx_v_quality_scores); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_quality_scores); + __pyx_t_17 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 585, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 585, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 585, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_17, __pyx_n_s_dtype, __pyx_t_13) < 0) __PYX_ERR(0, 585, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_2, __pyx_t_17); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 585, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_flatten); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 585, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_17))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_17); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_17); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_17, function); + } + } + __pyx_t_1 = (__pyx_t_13) ? __Pyx_PyObject_CallOneArg(__pyx_t_17, __pyx_t_13) : __Pyx_PyObject_CallNoArg(__pyx_t_17); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 585, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_DECREF_SET(__pyx_v_quality_scores, __pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":586 + * quality_scores.append(self._compute_quality_score(avg_sentiment)) + * quality_scores = np.asarray(quality_scores, dtype=np.float32).flatten() + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + * Y = sp.csr_matrix((quality_scores, (map_iid, map_aspect_id)), + */ + __Pyx_GetModuleGlobalName(__pyx_t_17, __pyx_n_s_np); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 586, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_17, __pyx_n_s_asarray); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 586, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_17 = PyTuple_New(1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 586, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_INCREF(__pyx_v_map_iid); + __Pyx_GIVEREF(__pyx_v_map_iid); + PyTuple_SET_ITEM(__pyx_t_17, 0, __pyx_v_map_iid); + __pyx_t_2 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 586, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 586, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_int32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 586, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 586, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_13, __pyx_t_17, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 586, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_flatten); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 586, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 586, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF_SET(__pyx_v_map_iid, __pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":587 + * quality_scores = np.asarray(quality_scores, dtype=np.float32).flatten() + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * Y = sp.csr_matrix((quality_scores, (map_iid, map_aspect_id)), + * shape=(self.train_set.num_items, sentiment.num_aspects)) + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 587, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_asarray); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 587, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 587, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_map_aspect_id); + __Pyx_GIVEREF(__pyx_v_map_aspect_id); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_map_aspect_id); + __pyx_t_17 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 587, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 587, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_int32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 587, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + if (PyDict_SetItem(__pyx_t_17, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 587, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_2, __pyx_t_17); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 587, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_flatten); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 587, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_17))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_17); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_17); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_17, function); + } + } + __pyx_t_1 = (__pyx_t_8) ? __Pyx_PyObject_CallOneArg(__pyx_t_17, __pyx_t_8) : __Pyx_PyObject_CallNoArg(__pyx_t_17); + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 587, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_DECREF_SET(__pyx_v_map_aspect_id, __pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":588 + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + * Y = sp.csr_matrix((quality_scores, (map_iid, map_aspect_id)), # <<<<<<<<<<<<<< + * shape=(self.train_set.num_items, sentiment.num_aspects)) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_sp); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 588, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_csr_matrix); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 588, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 588, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_map_iid); + __Pyx_GIVEREF(__pyx_v_map_iid); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_map_iid); + __Pyx_INCREF(__pyx_v_map_aspect_id); + __Pyx_GIVEREF(__pyx_v_map_aspect_id); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_map_aspect_id); + __pyx_t_8 = PyTuple_New(2); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 588, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_INCREF(__pyx_v_quality_scores); + __Pyx_GIVEREF(__pyx_v_quality_scores); + PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_v_quality_scores); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_8, 1, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 588, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":589 + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + * Y = sp.csr_matrix((quality_scores, (map_iid, map_aspect_id)), + * shape=(self.train_set.num_items, sentiment.num_aspects)) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_t_8 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 589, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 589, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 589, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 589, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_13 = PyTuple_New(2); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 589, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_13, 1, __pyx_t_2); + __pyx_t_3 = 0; + __pyx_t_2 = 0; + if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_shape, __pyx_t_13) < 0) __PYX_ERR(0, 589, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":588 + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + * Y = sp.csr_matrix((quality_scores, (map_iid, map_aspect_id)), # <<<<<<<<<<<<<< + * shape=(self.train_set.num_items, sentiment.num_aspects)) + * + */ + __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_17, __pyx_t_1, __pyx_t_8); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 588, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_v_Y = __pyx_t_13; + __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":591 + * shape=(self.train_set.num_items, sentiment.num_aspects)) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building item aspect quality matrix completed in %d s' % (time() - start_time)) + * + */ + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 591, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_13); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 591, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + if (__pyx_t_9) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":592 + * + * if self.verbose: + * print('Building item aspect quality matrix completed in %d s' % (time() - start_time)) # <<<<<<<<<<<<<< + * + * return Y + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_time); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 592, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_13 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 592, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = PyNumber_Subtract(__pyx_t_13, __pyx_v_start_time); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 592, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_Building_item_aspect_quality_mat, __pyx_t_8); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 592, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_13); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 592, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":591 + * shape=(self.train_set.num_items, sentiment.num_aspects)) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building item aspect quality matrix completed in %d s' % (time() - start_time)) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":594 + * print('Building item aspect quality matrix completed in %d s' % (time() - start_time)) + * + * return Y # <<<<<<<<<<<<<< + * + * def _build_matrices(self, data_set): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_Y); + __pyx_r = __pyx_v_Y; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":561 + * return X + * + * def _build_item_quality_matrix(self, data_set, sentiment): # <<<<<<<<<<<<<< + * start_time = time() + * quality_scores = [] + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_13); + __Pyx_XDECREF(__pyx_t_16); + __Pyx_XDECREF(__pyx_t_17); + __Pyx_XDECREF(__pyx_t_18); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._build_item_quality_matrix", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_start_time); + __Pyx_XDECREF(__pyx_v_quality_scores); + __Pyx_XDECREF(__pyx_v_map_iid); + __Pyx_XDECREF(__pyx_v_map_aspect_id); + __Pyx_XDECREF(__pyx_v_iid); + __Pyx_XDECREF(__pyx_v_sentiment_tup_ids_by_user); + __Pyx_XDECREF(__pyx_v_item_aspects); + __Pyx_XDECREF(__pyx_v_item_aspect_count); + __Pyx_XDECREF(__pyx_v_total_sentiment_by_aspect); + __Pyx_XDECREF(__pyx_v_tup_id); + __Pyx_XDECREF(__pyx_v_aid); + __Pyx_XDECREF(__pyx_v__); + __Pyx_XDECREF(__pyx_v_sentiment_polarity); + __Pyx_XDECREF(__pyx_v_total_sentiment); + __Pyx_XDECREF(__pyx_v_avg_sentiment); + __Pyx_XDECREF(__pyx_v_Y); + __Pyx_XDECREF(__pyx_8genexpr2__pyx_v_tup_id); + __Pyx_XDECREF(__pyx_8genexpr2__pyx_v_tup); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":596 + * return Y + * + * def _build_matrices(self, data_set): # <<<<<<<<<<<<<< + * sentiment = self.train_set.sentiment + * A = self._build_rating_matrix(data_set) + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_23_build_matrices(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_23_build_matrices = {"_build_matrices", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_23_build_matrices, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_23_build_matrices(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_data_set = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_build_matrices (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_data_set,0}; + PyObject* values[2] = {0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_data_set)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_matrices", 1, 2, 2, 1); __PYX_ERR(0, 596, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_build_matrices") < 0)) __PYX_ERR(0, 596, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 2) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + } + __pyx_v_self = values[0]; + __pyx_v_data_set = values[1]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_build_matrices", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 596, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._build_matrices", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_22_build_matrices(__pyx_self, __pyx_v_self, __pyx_v_data_set); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_22_build_matrices(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_data_set) { + PyObject *__pyx_v_sentiment = NULL; + PyObject *__pyx_v_A = NULL; + PyObject *__pyx_v_X = NULL; + PyObject *__pyx_v_Y = NULL; + PyObject *__pyx_v_earlier_indices = NULL; + PyObject *__pyx_v_later_indices = NULL; + PyObject *__pyx_v_aspect_indices = NULL; + PyObject *__pyx_v_pair_counts = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *(*__pyx_t_8)(PyObject *); + int __pyx_t_9; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_build_matrices", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":597 + * + * def _build_matrices(self, data_set): + * sentiment = self.train_set.sentiment # <<<<<<<<<<<<<< + * A = self._build_rating_matrix(data_set) + * X = self._build_user_attention_matrix(data_set, sentiment) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 597, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 597, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_sentiment = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":598 + * def _build_matrices(self, data_set): + * sentiment = self.train_set.sentiment + * A = self._build_rating_matrix(data_set) # <<<<<<<<<<<<<< + * X = self._build_user_attention_matrix(data_set, sentiment) + * Y = self._build_item_quality_matrix(data_set, sentiment) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_build_rating_matrix); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 598, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_1, __pyx_t_3, __pyx_v_data_set) : __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_v_data_set); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 598, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_A = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":599 + * sentiment = self.train_set.sentiment + * A = self._build_rating_matrix(data_set) + * X = self._build_user_attention_matrix(data_set, sentiment) # <<<<<<<<<<<<<< + * Y = self._build_item_quality_matrix(data_set, sentiment) + * earlier_indices, later_indices, aspect_indices, pair_counts = self._build_chrono_purchased_pairs(data_set, Y) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_build_user_attention_matrix); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 599, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = NULL; + __pyx_t_4 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + __pyx_t_4 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_1)) { + PyObject *__pyx_temp[3] = {__pyx_t_3, __pyx_v_data_set, __pyx_v_sentiment}; + __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_1, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 599, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_GOTREF(__pyx_t_2); + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_1)) { + PyObject *__pyx_temp[3] = {__pyx_t_3, __pyx_v_data_set, __pyx_v_sentiment}; + __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_1, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 599, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_GOTREF(__pyx_t_2); + } else + #endif + { + __pyx_t_5 = PyTuple_New(2+__pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 599, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (__pyx_t_3) { + __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_3); __pyx_t_3 = NULL; + } + __Pyx_INCREF(__pyx_v_data_set); + __Pyx_GIVEREF(__pyx_v_data_set); + PyTuple_SET_ITEM(__pyx_t_5, 0+__pyx_t_4, __pyx_v_data_set); + __Pyx_INCREF(__pyx_v_sentiment); + __Pyx_GIVEREF(__pyx_v_sentiment); + PyTuple_SET_ITEM(__pyx_t_5, 1+__pyx_t_4, __pyx_v_sentiment); + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_5, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 599, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_X = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":600 + * A = self._build_rating_matrix(data_set) + * X = self._build_user_attention_matrix(data_set, sentiment) + * Y = self._build_item_quality_matrix(data_set, sentiment) # <<<<<<<<<<<<<< + * earlier_indices, later_indices, aspect_indices, pair_counts = self._build_chrono_purchased_pairs(data_set, Y) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_build_item_quality_matrix); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 600, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = NULL; + __pyx_t_4 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + __pyx_t_4 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_1)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_data_set, __pyx_v_sentiment}; + __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_1, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 600, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_2); + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_1)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_data_set, __pyx_v_sentiment}; + __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_1, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 600, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_2); + } else + #endif + { + __pyx_t_3 = PyTuple_New(2+__pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 600, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + if (__pyx_t_5) { + __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_5); __pyx_t_5 = NULL; + } + __Pyx_INCREF(__pyx_v_data_set); + __Pyx_GIVEREF(__pyx_v_data_set); + PyTuple_SET_ITEM(__pyx_t_3, 0+__pyx_t_4, __pyx_v_data_set); + __Pyx_INCREF(__pyx_v_sentiment); + __Pyx_GIVEREF(__pyx_v_sentiment); + PyTuple_SET_ITEM(__pyx_t_3, 1+__pyx_t_4, __pyx_v_sentiment); + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 600, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_Y = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":601 + * X = self._build_user_attention_matrix(data_set, sentiment) + * Y = self._build_item_quality_matrix(data_set, sentiment) + * earlier_indices, later_indices, aspect_indices, pair_counts = self._build_chrono_purchased_pairs(data_set, Y) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_build_chrono_purchased_pairs); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 601, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = NULL; + __pyx_t_4 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + __pyx_t_4 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_1)) { + PyObject *__pyx_temp[3] = {__pyx_t_3, __pyx_v_data_set, __pyx_v_Y}; + __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_1, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 601, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_GOTREF(__pyx_t_2); + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_1)) { + PyObject *__pyx_temp[3] = {__pyx_t_3, __pyx_v_data_set, __pyx_v_Y}; + __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_1, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 601, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_GOTREF(__pyx_t_2); + } else + #endif + { + __pyx_t_5 = PyTuple_New(2+__pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 601, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (__pyx_t_3) { + __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_3); __pyx_t_3 = NULL; + } + __Pyx_INCREF(__pyx_v_data_set); + __Pyx_GIVEREF(__pyx_v_data_set); + PyTuple_SET_ITEM(__pyx_t_5, 0+__pyx_t_4, __pyx_v_data_set); + __Pyx_INCREF(__pyx_v_Y); + __Pyx_GIVEREF(__pyx_v_Y); + PyTuple_SET_ITEM(__pyx_t_5, 1+__pyx_t_4, __pyx_v_Y); + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_5, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 601, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if ((likely(PyTuple_CheckExact(__pyx_t_2))) || (PyList_CheckExact(__pyx_t_2))) { + PyObject* sequence = __pyx_t_2; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 4)) { + if (size > 4) __Pyx_RaiseTooManyValuesError(4); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 601, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_1 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_5 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 2); + __pyx_t_6 = PyTuple_GET_ITEM(sequence, 3); + } else { + __pyx_t_1 = PyList_GET_ITEM(sequence, 0); + __pyx_t_5 = PyList_GET_ITEM(sequence, 1); + __pyx_t_3 = PyList_GET_ITEM(sequence, 2); + __pyx_t_6 = PyList_GET_ITEM(sequence, 3); + } + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(__pyx_t_6); + #else + { + Py_ssize_t i; + PyObject** temps[4] = {&__pyx_t_1,&__pyx_t_5,&__pyx_t_3,&__pyx_t_6}; + for (i=0; i < 4; i++) { + PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) __PYX_ERR(0, 601, __pyx_L1_error) + __Pyx_GOTREF(item); + *(temps[i]) = item; + } + } + #endif + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } else { + Py_ssize_t index = -1; + PyObject** temps[4] = {&__pyx_t_1,&__pyx_t_5,&__pyx_t_3,&__pyx_t_6}; + __pyx_t_7 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 601, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_8 = Py_TYPE(__pyx_t_7)->tp_iternext; + for (index=0; index < 4; index++) { + PyObject* item = __pyx_t_8(__pyx_t_7); if (unlikely(!item)) goto __pyx_L3_unpacking_failed; + __Pyx_GOTREF(item); + *(temps[index]) = item; + } + if (__Pyx_IternextUnpackEndCheck(__pyx_t_8(__pyx_t_7), 4) < 0) __PYX_ERR(0, 601, __pyx_L1_error) + __pyx_t_8 = NULL; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + goto __pyx_L4_unpacking_done; + __pyx_L3_unpacking_failed:; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_8 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 601, __pyx_L1_error) + __pyx_L4_unpacking_done:; + } + __pyx_v_earlier_indices = __pyx_t_1; + __pyx_t_1 = 0; + __pyx_v_later_indices = __pyx_t_5; + __pyx_t_5 = 0; + __pyx_v_aspect_indices = __pyx_t_3; + __pyx_t_3 = 0; + __pyx_v_pair_counts = __pyx_t_6; + __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":603 + * earlier_indices, later_indices, aspect_indices, pair_counts = self._build_chrono_purchased_pairs(data_set, Y) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building matrices completed!') + * + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 603, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 603, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (__pyx_t_9) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":604 + * + * if self.verbose: + * print('Building matrices completed!') # <<<<<<<<<<<<<< + * + * return A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts + */ + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_tuple__8, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 604, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":603 + * earlier_indices, later_indices, aspect_indices, pair_counts = self._build_chrono_purchased_pairs(data_set, Y) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building matrices completed!') + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":606 + * print('Building matrices completed!') + * + * return A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts # <<<<<<<<<<<<<< + * + * def _compute_attention_score(self, count): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = PyTuple_New(7); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 606, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_A); + __Pyx_GIVEREF(__pyx_v_A); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_A); + __Pyx_INCREF(__pyx_v_X); + __Pyx_GIVEREF(__pyx_v_X); + PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_v_X); + __Pyx_INCREF(__pyx_v_Y); + __Pyx_GIVEREF(__pyx_v_Y); + PyTuple_SET_ITEM(__pyx_t_2, 2, __pyx_v_Y); + __Pyx_INCREF(__pyx_v_earlier_indices); + __Pyx_GIVEREF(__pyx_v_earlier_indices); + PyTuple_SET_ITEM(__pyx_t_2, 3, __pyx_v_earlier_indices); + __Pyx_INCREF(__pyx_v_later_indices); + __Pyx_GIVEREF(__pyx_v_later_indices); + PyTuple_SET_ITEM(__pyx_t_2, 4, __pyx_v_later_indices); + __Pyx_INCREF(__pyx_v_aspect_indices); + __Pyx_GIVEREF(__pyx_v_aspect_indices); + PyTuple_SET_ITEM(__pyx_t_2, 5, __pyx_v_aspect_indices); + __Pyx_INCREF(__pyx_v_pair_counts); + __Pyx_GIVEREF(__pyx_v_pair_counts); + PyTuple_SET_ITEM(__pyx_t_2, 6, __pyx_v_pair_counts); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":596 + * return Y + * + * def _build_matrices(self, data_set): # <<<<<<<<<<<<<< + * sentiment = self.train_set.sentiment + * A = self._build_rating_matrix(data_set) + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._build_matrices", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_sentiment); + __Pyx_XDECREF(__pyx_v_A); + __Pyx_XDECREF(__pyx_v_X); + __Pyx_XDECREF(__pyx_v_Y); + __Pyx_XDECREF(__pyx_v_earlier_indices); + __Pyx_XDECREF(__pyx_v_later_indices); + __Pyx_XDECREF(__pyx_v_aspect_indices); + __Pyx_XDECREF(__pyx_v_pair_counts); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":608 + * return A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts + * + * def _compute_attention_score(self, count): # <<<<<<<<<<<<<< + * return 1 + (self.rating_scale - 1) * (2 / (1 + np.exp(-count)) - 1) + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_25_compute_attention_score(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_25_compute_attention_score = {"_compute_attention_score", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_25_compute_attention_score, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_25_compute_attention_score(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_count = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_compute_attention_score (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_count,0}; + PyObject* values[2] = {0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_count)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_compute_attention_score", 1, 2, 2, 1); __PYX_ERR(0, 608, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_compute_attention_score") < 0)) __PYX_ERR(0, 608, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 2) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + } + __pyx_v_self = values[0]; + __pyx_v_count = values[1]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_compute_attention_score", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 608, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._compute_attention_score", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_24_compute_attention_score(__pyx_self, __pyx_v_self, __pyx_v_count); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_24_compute_attention_score(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_count) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_compute_attention_score", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":609 + * + * def _compute_attention_score(self, count): + * return 1 + (self.rating_scale - 1) * (2 / (1 + np.exp(-count)) - 1) # <<<<<<<<<<<<<< + * + * def _compute_quality_score(self, sentiment): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_rating_scale); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 609, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_SubtractObjC(__pyx_t_1, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 609, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 609, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_exp); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 609, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyNumber_Negative(__pyx_v_count); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 609, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + } + } + __pyx_t_1 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_5, __pyx_t_3) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_3); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 609, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyInt_AddCObj(__pyx_int_1, __pyx_t_1, 1, 0, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 609, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyNumber_Divide(__pyx_int_2, __pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 609, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyInt_SubtractObjC(__pyx_t_1, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 609, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyNumber_Multiply(__pyx_t_2, __pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 609, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyInt_AddCObj(__pyx_int_1, __pyx_t_1, 1, 0, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 609, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_r = __pyx_t_4; + __pyx_t_4 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":608 + * return A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts + * + * def _compute_attention_score(self, count): # <<<<<<<<<<<<<< + * return 1 + (self.rating_scale - 1) * (2 / (1 + np.exp(-count)) - 1) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._compute_attention_score", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":611 + * return 1 + (self.rating_scale - 1) * (2 / (1 + np.exp(-count)) - 1) + * + * def _compute_quality_score(self, sentiment): # <<<<<<<<<<<<<< + * return 1 + (self.rating_scale - 1) / (1 + np.exp(-sentiment)) + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_27_compute_quality_score(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_27_compute_quality_score = {"_compute_quality_score", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_27_compute_quality_score, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_27_compute_quality_score(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_sentiment = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_compute_quality_score (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_sentiment,0}; + PyObject* values[2] = {0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sentiment)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_compute_quality_score", 1, 2, 2, 1); __PYX_ERR(0, 611, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_compute_quality_score") < 0)) __PYX_ERR(0, 611, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 2) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + } + __pyx_v_self = values[0]; + __pyx_v_sentiment = values[1]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_compute_quality_score", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 611, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._compute_quality_score", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_26_compute_quality_score(__pyx_self, __pyx_v_self, __pyx_v_sentiment); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_26_compute_quality_score(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_sentiment) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_compute_quality_score", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":612 + * + * def _compute_quality_score(self, sentiment): + * return 1 + (self.rating_scale - 1) / (1 + np.exp(-sentiment)) # <<<<<<<<<<<<<< + * + * def monitor_value(self): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_rating_scale); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_SubtractObjC(__pyx_t_1, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_exp); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyNumber_Negative(__pyx_v_sentiment); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + } + } + __pyx_t_1 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_5, __pyx_t_3) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_3); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyInt_AddCObj(__pyx_int_1, __pyx_t_1, 1, 0, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyNumber_Divide(__pyx_t_2, __pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyInt_AddCObj(__pyx_int_1, __pyx_t_1, 1, 0, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_r = __pyx_t_4; + __pyx_t_4 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":611 + * return 1 + (self.rating_scale - 1) * (2 / (1 + np.exp(-count)) - 1) + * + * def _compute_quality_score(self, sentiment): # <<<<<<<<<<<<<< + * return 1 + (self.rating_scale - 1) / (1 + np.exp(-sentiment)) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj._compute_quality_score", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":614 + * return 1 + (self.rating_scale - 1) / (1 + np.exp(-sentiment)) + * + * def monitor_value(self): # <<<<<<<<<<<<<< + * """Calculating monitored value used for early stopping on validation set (`val_set`). + * This function will be called by `early_stop()` function. + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_29monitor_value(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/ +static char __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_28monitor_value[] = "Calculating monitored value used for early stopping on validation set (`val_set`).\n This function will be called by `early_stop()` function.\n\n Returns\n -------\n res : float\n Monitored value on validation set.\n Return `None` if `val_set` is `None`.\n "; +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_29monitor_value = {"monitor_value", (PyCFunction)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_29monitor_value, METH_O, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_28monitor_value}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_29monitor_value(PyObject *__pyx_self, PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("monitor_value (wrapper)", 0); + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_28monitor_value(__pyx_self, ((PyObject *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_28monitor_value(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) { + PyObject *__pyx_v_A = NULL; + PyObject *__pyx_v_A_user_counts = NULL; + PyObject *__pyx_v_A_uids = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + int __pyx_t_3; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + PyObject *__pyx_t_9 = NULL; + int __pyx_t_10; + PyObject *__pyx_t_11 = NULL; + PyObject *__pyx_t_12 = NULL; + PyObject *__pyx_t_13 = NULL; + PyObject *__pyx_t_14 = NULL; + PyObject *__pyx_t_15 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("monitor_value", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":624 + * Return `None` if `val_set` is `None`. + * """ + * if self.val_set is None: # <<<<<<<<<<<<<< + * return None + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_val_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 624, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = (__pyx_t_1 == Py_None); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":625 + * """ + * if self.val_set is None: + * return None # <<<<<<<<<<<<<< + * + * A = self._build_rating_matrix(self.val_set) + */ + __Pyx_XDECREF(__pyx_r); + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":624 + * Return `None` if `val_set` is `None`. + * """ + * if self.val_set is None: # <<<<<<<<<<<<<< + * return None + * + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":627 + * return None + * + * A = self._build_rating_matrix(self.val_set) # <<<<<<<<<<<<<< + * A_user_counts = np.ediff1d(A.indptr) + * A_uids = np.repeat(np.arange(self.train_set.num_users), A_user_counts).astype(A.indices.dtype) + */ + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_build_rating_matrix); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 627, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_val_set); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 627, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_6, __pyx_t_5) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 627, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_v_A = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":628 + * + * A = self._build_rating_matrix(self.val_set) + * A_user_counts = np.ediff1d(A.indptr) # <<<<<<<<<<<<<< + * A_uids = np.repeat(np.arange(self.train_set.num_users), A_user_counts).astype(A.indices.dtype) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_np); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 628, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_ediff1d); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 628, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_A, __pyx_n_s_indptr); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 628, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_6, __pyx_t_4) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_4); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 628, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_v_A_user_counts = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":629 + * A = self._build_rating_matrix(self.val_set) + * A_user_counts = np.ediff1d(A.indptr) + * A_uids = np.repeat(np.arange(self.train_set.num_users), A_user_counts).astype(A.indices.dtype) # <<<<<<<<<<<<<< + * + * return -self._get_loss(self.num_threads, + */ + __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_np); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_repeat); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_7, __pyx_n_s_np); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_arange); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_num_users); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_7)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_7); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_4 = (__pyx_t_7) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_7, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = NULL; + __pyx_t_10 = 0; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_6))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_6); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_6, function); + __pyx_t_10 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_6)) { + PyObject *__pyx_temp[3] = {__pyx_t_8, __pyx_t_4, __pyx_v_A_user_counts}; + __pyx_t_5 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_10, 2+__pyx_t_10); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) { + PyObject *__pyx_temp[3] = {__pyx_t_8, __pyx_t_4, __pyx_v_A_user_counts}; + __pyx_t_5 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_10, 2+__pyx_t_10); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + } else + #endif + { + __pyx_t_9 = PyTuple_New(2+__pyx_t_10); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + if (__pyx_t_8) { + __Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_8); __pyx_t_8 = NULL; + } + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_9, 0+__pyx_t_10, __pyx_t_4); + __Pyx_INCREF(__pyx_v_A_user_counts); + __Pyx_GIVEREF(__pyx_v_A_user_counts); + PyTuple_SET_ITEM(__pyx_t_9, 1+__pyx_t_10, __pyx_v_A_user_counts); + __pyx_t_4 = 0; + __pyx_t_5 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_9, NULL); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_astype); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_A, __pyx_n_s_indices); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_dtype); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_6); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_6, function); + } + } + __pyx_t_1 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_6, __pyx_t_5, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_v_A_uids = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":631 + * A_uids = np.repeat(np.arange(self.train_set.num_users), A_user_counts).astype(A.indices.dtype) + * + * return -self._get_loss(self.num_threads, # <<<<<<<<<<<<<< + * A.data.astype(np.float32), A_uids, A.indices, + * self.U1, self.U2, self.V, self.H1, self.H2) + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_get_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 631, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_threads); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 631, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":632 + * + * return -self._get_loss(self.num_threads, + * A.data.astype(np.float32), A_uids, A.indices, # <<<<<<<<<<<<<< + * self.U1, self.U2, self.V, self.H1, self.H2) + * + */ + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_A, __pyx_n_s_data); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 632, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_astype); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 632, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_np); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 632, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_float32); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 632, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_4)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_4); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_5 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_4, __pyx_t_7) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_7); + __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 632, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_A, __pyx_n_s_indices); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 632, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":633 + * return -self._get_loss(self.num_threads, + * A.data.astype(np.float32), A_uids, A.indices, + * self.U1, self.U2, self.V, self.H1, self.H2) # <<<<<<<<<<<<<< + * + * def score(self, user_id, item_id=None): + */ + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 633, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 633, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_V); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 633, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_H1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 633, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_H2); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 633, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_14 = NULL; + __pyx_t_10 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) { + __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_6); + if (likely(__pyx_t_14)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6); + __Pyx_INCREF(__pyx_t_14); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_6, function); + __pyx_t_10 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_6)) { + PyObject *__pyx_temp[10] = {__pyx_t_14, __pyx_t_9, __pyx_t_5, __pyx_v_A_uids, __pyx_t_8, __pyx_t_7, __pyx_t_4, __pyx_t_11, __pyx_t_12, __pyx_t_13}; + __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_10, 9+__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 631, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) { + PyObject *__pyx_temp[10] = {__pyx_t_14, __pyx_t_9, __pyx_t_5, __pyx_v_A_uids, __pyx_t_8, __pyx_t_7, __pyx_t_4, __pyx_t_11, __pyx_t_12, __pyx_t_13}; + __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_10, 9+__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 631, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + } else + #endif + { + __pyx_t_15 = PyTuple_New(9+__pyx_t_10); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 631, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_15); + if (__pyx_t_14) { + __Pyx_GIVEREF(__pyx_t_14); PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_14); __pyx_t_14 = NULL; + } + __Pyx_GIVEREF(__pyx_t_9); + PyTuple_SET_ITEM(__pyx_t_15, 0+__pyx_t_10, __pyx_t_9); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_15, 1+__pyx_t_10, __pyx_t_5); + __Pyx_INCREF(__pyx_v_A_uids); + __Pyx_GIVEREF(__pyx_v_A_uids); + PyTuple_SET_ITEM(__pyx_t_15, 2+__pyx_t_10, __pyx_v_A_uids); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_15, 3+__pyx_t_10, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_15, 4+__pyx_t_10, __pyx_t_7); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_15, 5+__pyx_t_10, __pyx_t_4); + __Pyx_GIVEREF(__pyx_t_11); + PyTuple_SET_ITEM(__pyx_t_15, 6+__pyx_t_10, __pyx_t_11); + __Pyx_GIVEREF(__pyx_t_12); + PyTuple_SET_ITEM(__pyx_t_15, 7+__pyx_t_10, __pyx_t_12); + __Pyx_GIVEREF(__pyx_t_13); + PyTuple_SET_ITEM(__pyx_t_15, 8+__pyx_t_10, __pyx_t_13); + __pyx_t_9 = 0; + __pyx_t_5 = 0; + __pyx_t_8 = 0; + __pyx_t_7 = 0; + __pyx_t_4 = 0; + __pyx_t_11 = 0; + __pyx_t_12 = 0; + __pyx_t_13 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_15, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 631, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + } + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":631 + * A_uids = np.repeat(np.arange(self.train_set.num_users), A_user_counts).astype(A.indices.dtype) + * + * return -self._get_loss(self.num_threads, # <<<<<<<<<<<<<< + * A.data.astype(np.float32), A_uids, A.indices, + * self.U1, self.U2, self.V, self.H1, self.H2) + */ + __pyx_t_6 = PyNumber_Negative(__pyx_t_1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 631, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_r = __pyx_t_6; + __pyx_t_6 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":614 + * return 1 + (self.rating_scale - 1) / (1 + np.exp(-sentiment)) + * + * def monitor_value(self): # <<<<<<<<<<<<<< + * """Calculating monitored value used for early stopping on validation set (`val_set`). + * This function will be called by `early_stop()` function. + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_9); + __Pyx_XDECREF(__pyx_t_11); + __Pyx_XDECREF(__pyx_t_12); + __Pyx_XDECREF(__pyx_t_13); + __Pyx_XDECREF(__pyx_t_14); + __Pyx_XDECREF(__pyx_t_15); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.monitor_value", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_A); + __Pyx_XDECREF(__pyx_v_A_user_counts); + __Pyx_XDECREF(__pyx_v_A_uids); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":635 + * self.U1, self.U2, self.V, self.H1, self.H2) + * + * def score(self, user_id, item_id=None): # <<<<<<<<<<<<<< + * """Predict the scores/ratings of a user for an item. + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_31score(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static char __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_30score[] = "Predict the scores/ratings of a user for an item.\n\n Parameters\n ----------\n user_id: int, required\n The index of the user for whom to perform score prediction.\n\n item_id: int, optional, default: None\n The index of the item for that to perform score prediction.\n If None, scores for all known items will be returned.\n\n Returns\n -------\n res : A scalar or a Numpy array\n Relative scores that the user gives to the item or to all known items\n\n "; +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_31score = {"score", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_31score, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_30score}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_31score(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_user_id = 0; + PyObject *__pyx_v_item_id = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("score (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_user_id,&__pyx_n_s_item_id,0}; + PyObject* values[3] = {0,0,0}; + values[2] = ((PyObject *)((PyObject *)Py_None)); + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_user_id)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("score", 0, 2, 3, 1); __PYX_ERR(0, 635, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_item_id); + if (value) { values[2] = value; kw_args--; } + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "score") < 0)) __PYX_ERR(0, 635, __pyx_L3_error) + } + } else { + switch (PyTuple_GET_SIZE(__pyx_args)) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + break; + default: goto __pyx_L5_argtuple_error; + } + } + __pyx_v_self = values[0]; + __pyx_v_user_id = values[1]; + __pyx_v_item_id = values[2]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("score", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 635, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.score", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_30score(__pyx_self, __pyx_v_self, __pyx_v_user_id, __pyx_v_item_id); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_30score(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_user_id, PyObject *__pyx_v_item_id) { + PyObject *__pyx_v_item_scores = NULL; + PyObject *__pyx_v_item_score = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + Py_ssize_t __pyx_t_9; + Py_UCS4 __pyx_t_10; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("score", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":653 + * + * """ + * if item_id is None: # <<<<<<<<<<<<<< + * if self.train_set.is_unk_user(user_id): + * raise ScoreException("Can't make score prediction for (user_id=%d" & user_id) + */ + __pyx_t_1 = (__pyx_v_item_id == Py_None); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":654 + * """ + * if item_id is None: + * if self.train_set.is_unk_user(user_id): # <<<<<<<<<<<<<< + * raise ScoreException("Can't make score prediction for (user_id=%d" & user_id) + * item_scores = self.U2.dot(self.U1[user_id, :]) + self.H2.dot(self.H1[user_id, :]) + */ + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 654, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_is_unk_user); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 654, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_4)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_4); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + } + } + __pyx_t_3 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_4, __pyx_v_user_id) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_v_user_id); + __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 654, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 654, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(__pyx_t_2)) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":655 + * if item_id is None: + * if self.train_set.is_unk_user(user_id): + * raise ScoreException("Can't make score prediction for (user_id=%d" & user_id) # <<<<<<<<<<<<<< + * item_scores = self.U2.dot(self.U1[user_id, :]) + self.H2.dot(self.H1[user_id, :]) + * return item_scores + */ + __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_ScoreException); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 655, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_4 = PyNumber_And(__pyx_kp_u_Can_t_make_score_prediction_for, __pyx_v_user_id); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 655, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + } + } + __pyx_t_3 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_6, __pyx_t_4) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_4); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 655, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(0, 655, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":654 + * """ + * if item_id is None: + * if self.train_set.is_unk_user(user_id): # <<<<<<<<<<<<<< + * raise ScoreException("Can't make score prediction for (user_id=%d" & user_id) + * item_scores = self.U2.dot(self.U1[user_id, :]) + self.H2.dot(self.H1[user_id, :]) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":656 + * if self.train_set.is_unk_user(user_id): + * raise ScoreException("Can't make score prediction for (user_id=%d" & user_id) + * item_scores = self.U2.dot(self.U1[user_id, :]) + self.H2.dot(self.H1[user_id, :]) # <<<<<<<<<<<<<< + * return item_scores + * else: + */ + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_dot); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_6 = PyTuple_New(2); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_INCREF(__pyx_v_user_id); + __Pyx_GIVEREF(__pyx_v_user_id); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_v_user_id); + __Pyx_INCREF(__pyx_slice__9); + __Pyx_GIVEREF(__pyx_slice__9); + PyTuple_SET_ITEM(__pyx_t_6, 1, __pyx_slice__9); + __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + } + } + __pyx_t_3 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_6, __pyx_t_7) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_7); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_H2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_dot); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_H1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_INCREF(__pyx_v_user_id); + __Pyx_GIVEREF(__pyx_v_user_id); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_v_user_id); + __Pyx_INCREF(__pyx_slice__9); + __Pyx_GIVEREF(__pyx_slice__9); + PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_slice__9); + __pyx_t_8 = __Pyx_PyObject_GetItem(__pyx_t_7, __pyx_t_5); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_6); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_6, function); + } + } + __pyx_t_4 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_6, __pyx_t_5, __pyx_t_8) : __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_t_8); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = PyNumber_Add(__pyx_t_3, __pyx_t_4); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_v_item_scores = __pyx_t_6; + __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":657 + * raise ScoreException("Can't make score prediction for (user_id=%d" & user_id) + * item_scores = self.U2.dot(self.U1[user_id, :]) + self.H2.dot(self.H1[user_id, :]) + * return item_scores # <<<<<<<<<<<<<< + * else: + * if self.train_set.is_unk_user(user_id) or self.train_set.is_unk_item(item_id): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_item_scores); + __pyx_r = __pyx_v_item_scores; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":653 + * + * """ + * if item_id is None: # <<<<<<<<<<<<<< + * if self.train_set.is_unk_user(user_id): + * raise ScoreException("Can't make score prediction for (user_id=%d" & user_id) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":659 + * return item_scores + * else: + * if self.train_set.is_unk_user(user_id) or self.train_set.is_unk_item(item_id): # <<<<<<<<<<<<<< + * raise ScoreException("Can't make score prediction for (user_id=%d, item_id=%d)" % (user_id, item_id)) + * item_score = self.U2[item_id, :].dot(self.U1[user_id, :]) + self.H2[item_id, :].dot(self.H1[user_id, :]) + */ + /*else*/ { + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 659, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_is_unk_user); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 659, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_4)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_4); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_6 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_4, __pyx_v_user_id) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_v_user_id); + __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 659, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(0, 659, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (!__pyx_t_1) { + } else { + __pyx_t_2 = __pyx_t_1; + goto __pyx_L6_bool_binop_done; + } + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 659, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_is_unk_item); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 659, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + } + } + __pyx_t_6 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_3, __pyx_v_item_id) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_v_item_id); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 659, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(0, 659, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_2 = __pyx_t_1; + __pyx_L6_bool_binop_done:; + if (unlikely(__pyx_t_2)) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":660 + * else: + * if self.train_set.is_unk_user(user_id) or self.train_set.is_unk_item(item_id): + * raise ScoreException("Can't make score prediction for (user_id=%d, item_id=%d)" % (user_id, item_id)) # <<<<<<<<<<<<<< + * item_score = self.U2[item_id, :].dot(self.U1[user_id, :]) + self.H2[item_id, :].dot(self.H1[user_id, :]) + * return item_score + */ + __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_ScoreException); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 660, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyTuple_New(5); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 660, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_9 = 0; + __pyx_t_10 = 127; + __Pyx_INCREF(__pyx_kp_u_Can_t_make_score_prediction_for_2); + __pyx_t_9 += 41; + __Pyx_GIVEREF(__pyx_kp_u_Can_t_make_score_prediction_for_2); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_u_Can_t_make_score_prediction_for_2); + __pyx_t_8 = __Pyx_PyObject_FormatAndDecref(__Pyx_PyNumber_IntOrLong(__pyx_v_user_id), __pyx_n_u_d); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 660, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_10 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_8) > __pyx_t_10) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_8) : __pyx_t_10; + __pyx_t_9 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_8); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_8); + __pyx_t_8 = 0; + __Pyx_INCREF(__pyx_kp_u_item_id_2); + __pyx_t_9 += 10; + __Pyx_GIVEREF(__pyx_kp_u_item_id_2); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_kp_u_item_id_2); + __pyx_t_8 = __Pyx_PyObject_FormatAndDecref(__Pyx_PyNumber_IntOrLong(__pyx_v_item_id), __pyx_n_u_d); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 660, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_10 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_8) > __pyx_t_10) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_8) : __pyx_t_10; + __pyx_t_9 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_8); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_3, 3, __pyx_t_8); + __pyx_t_8 = 0; + __Pyx_INCREF(__pyx_kp_u__7); + __pyx_t_9 += 1; + __Pyx_GIVEREF(__pyx_kp_u__7); + PyTuple_SET_ITEM(__pyx_t_3, 4, __pyx_kp_u__7); + __pyx_t_8 = __Pyx_PyUnicode_Join(__pyx_t_3, 5, __pyx_t_9, __pyx_t_10); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 660, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + } + } + __pyx_t_6 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_3, __pyx_t_8) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_8); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 660, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_Raise(__pyx_t_6, 0, 0, 0); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __PYX_ERR(0, 660, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":659 + * return item_scores + * else: + * if self.train_set.is_unk_user(user_id) or self.train_set.is_unk_item(item_id): # <<<<<<<<<<<<<< + * raise ScoreException("Can't make score prediction for (user_id=%d, item_id=%d)" % (user_id, item_id)) + * item_score = self.U2[item_id, :].dot(self.U1[user_id, :]) + self.H2[item_id, :].dot(self.H1[user_id, :]) + */ + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":661 + * if self.train_set.is_unk_user(user_id) or self.train_set.is_unk_item(item_id): + * raise ScoreException("Can't make score prediction for (user_id=%d, item_id=%d)" % (user_id, item_id)) + * item_score = self.U2[item_id, :].dot(self.U1[user_id, :]) + self.H2[item_id, :].dot(self.H1[user_id, :]) # <<<<<<<<<<<<<< + * return item_score + * + */ + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_8 = PyTuple_New(2); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_INCREF(__pyx_v_item_id); + __Pyx_GIVEREF(__pyx_v_item_id); + PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_v_item_id); + __Pyx_INCREF(__pyx_slice__9); + __Pyx_GIVEREF(__pyx_slice__9); + PyTuple_SET_ITEM(__pyx_t_8, 1, __pyx_slice__9); + __pyx_t_3 = __Pyx_PyObject_GetItem(__pyx_t_4, __pyx_t_8); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_dot); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_INCREF(__pyx_v_user_id); + __Pyx_GIVEREF(__pyx_v_user_id); + PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_v_user_id); + __Pyx_INCREF(__pyx_slice__9); + __Pyx_GIVEREF(__pyx_slice__9); + PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_slice__9); + __pyx_t_5 = __Pyx_PyObject_GetItem(__pyx_t_3, __pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_4)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_4); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_6 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_4, __pyx_t_5) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_5); + __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_H2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_INCREF(__pyx_v_item_id); + __Pyx_GIVEREF(__pyx_v_item_id); + PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_v_item_id); + __Pyx_INCREF(__pyx_slice__9); + __Pyx_GIVEREF(__pyx_slice__9); + PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_slice__9); + __pyx_t_3 = __Pyx_PyObject_GetItem(__pyx_t_5, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_dot); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_H1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_INCREF(__pyx_v_user_id); + __Pyx_GIVEREF(__pyx_v_user_id); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_v_user_id); + __Pyx_INCREF(__pyx_slice__9); + __Pyx_GIVEREF(__pyx_slice__9); + PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_slice__9); + __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_t_3, __pyx_t_5); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + } + } + __pyx_t_8 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_5, __pyx_t_7) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_7); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = PyNumber_Add(__pyx_t_6, __pyx_t_8); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 661, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_v_item_score = __pyx_t_4; + __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":662 + * raise ScoreException("Can't make score prediction for (user_id=%d, item_id=%d)" % (user_id, item_id)) + * item_score = self.U2[item_id, :].dot(self.U1[user_id, :]) + self.H2[item_id, :].dot(self.H1[user_id, :]) + * return item_score # <<<<<<<<<<<<<< + * + * def rank(self, user_id, item_ids=None): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_item_score); + __pyx_r = __pyx_v_item_score; + goto __pyx_L0; + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":635 + * self.U1, self.U2, self.V, self.H1, self.H2) + * + * def score(self, user_id, item_id=None): # <<<<<<<<<<<<<< + * """Predict the scores/ratings of a user for an item. + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.score", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_item_scores); + __Pyx_XDECREF(__pyx_v_item_score); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_obj.pyx":664 + * return item_score + * + * def rank(self, user_id, item_ids=None): # <<<<<<<<<<<<<< + * """Rank all test items for a given user. + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_33rank(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static char __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_32rank[] = "Rank all test items for a given user.\n\n Parameters\n ----------\n user_id: int, required\n The index of the user for whom to perform item raking.\n\n item_ids: 1d array, optional, default: None\n A list of candidate item indices to be ranked by the user.\n If `None`, list of ranked known item indices and their scores will be returned\n\n Returns\n -------\n Tuple of `item_rank`, and `item_scores`. The order of values\n in item_scores are corresponding to the order of their ids in item_ids\n\n "; +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_33rank = {"rank", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_33rank, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_32rank}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_33rank(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_user_id = 0; + PyObject *__pyx_v_item_ids = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("rank (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_user_id,&__pyx_n_s_item_ids,0}; + PyObject* values[3] = {0,0,0}; + values[2] = ((PyObject *)((PyObject *)Py_None)); + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_user_id)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("rank", 0, 2, 3, 1); __PYX_ERR(0, 664, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_item_ids); + if (value) { values[2] = value; kw_args--; } + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "rank") < 0)) __PYX_ERR(0, 664, __pyx_L3_error) + } + } else { + switch (PyTuple_GET_SIZE(__pyx_args)) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + break; + default: goto __pyx_L5_argtuple_error; + } + } + __pyx_v_self = values[0]; + __pyx_v_user_id = values[1]; + __pyx_v_item_ids = values[2]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("rank", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 664, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.rank", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_32rank(__pyx_self, __pyx_v_self, __pyx_v_user_id, __pyx_v_item_ids); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_32rank(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_user_id, PyObject *__pyx_v_item_ids) { + PyObject *__pyx_v_X_ = NULL; + PyObject *__pyx_v_most_cared_aspects_indices = NULL; + PyObject *__pyx_v_most_cared_X_ = NULL; + PyObject *__pyx_v_most_cared_Y_ = NULL; + PyObject *__pyx_v_explicit_scores = NULL; + PyObject *__pyx_v_item_scores = NULL; + PyObject *__pyx_v_item_rank = NULL; + PyObject *__pyx_v_num_items = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + int __pyx_t_6; + int __pyx_t_7; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("rank", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":682 + * + * """ + * X_ = self.U1[user_id, :].dot(self.V.T) # <<<<<<<<<<<<<< + * most_cared_aspects_indices = (-X_).argsort()[:self.num_most_cared_aspects] + * most_cared_X_ = X_[most_cared_aspects_indices] + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 682, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 682, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_user_id); + __Pyx_GIVEREF(__pyx_v_user_id); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_user_id); + __Pyx_INCREF(__pyx_slice__9); + __Pyx_GIVEREF(__pyx_slice__9); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_slice__9); + __pyx_t_4 = __Pyx_PyObject_GetItem(__pyx_t_2, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 682, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_dot); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 682, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_V); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 682, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_T); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 682, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_4)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_4); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_4, __pyx_t_2) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_2); + __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 682, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_X_ = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":683 + * """ + * X_ = self.U1[user_id, :].dot(self.V.T) + * most_cared_aspects_indices = (-X_).argsort()[:self.num_most_cared_aspects] # <<<<<<<<<<<<<< + * most_cared_X_ = X_[most_cared_aspects_indices] + * most_cared_Y_ = self.U2.dot(self.V[most_cared_aspects_indices, :].T) + */ + __pyx_t_3 = PyNumber_Negative(__pyx_v_X_); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 683, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_argsort); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 683, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 683, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_most_cared_aspects); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 683, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyObject_GetSlice(__pyx_t_1, 0, 0, NULL, &__pyx_t_2, NULL, 0, 0, 1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 683, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_most_cared_aspects_indices = __pyx_t_3; + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":684 + * X_ = self.U1[user_id, :].dot(self.V.T) + * most_cared_aspects_indices = (-X_).argsort()[:self.num_most_cared_aspects] + * most_cared_X_ = X_[most_cared_aspects_indices] # <<<<<<<<<<<<<< + * most_cared_Y_ = self.U2.dot(self.V[most_cared_aspects_indices, :].T) + * explicit_scores = most_cared_X_.dot(most_cared_Y_.T) / (self.num_most_cared_aspects * self.rating_scale) + */ + __pyx_t_3 = __Pyx_PyObject_GetItem(__pyx_v_X_, __pyx_v_most_cared_aspects_indices); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 684, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_v_most_cared_X_ = __pyx_t_3; + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":685 + * most_cared_aspects_indices = (-X_).argsort()[:self.num_most_cared_aspects] + * most_cared_X_ = X_[most_cared_aspects_indices] + * most_cared_Y_ = self.U2.dot(self.V[most_cared_aspects_indices, :].T) # <<<<<<<<<<<<<< + * explicit_scores = most_cared_X_.dot(most_cared_Y_.T) / (self.num_most_cared_aspects * self.rating_scale) + * item_scores = self.alpha * explicit_scores + (1 - self.alpha) * self.score(user_id) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 685, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_dot); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 685, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_V); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 685, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 685, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_INCREF(__pyx_v_most_cared_aspects_indices); + __Pyx_GIVEREF(__pyx_v_most_cared_aspects_indices); + PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_v_most_cared_aspects_indices); + __Pyx_INCREF(__pyx_slice__9); + __Pyx_GIVEREF(__pyx_slice__9); + PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_slice__9); + __pyx_t_5 = __Pyx_PyObject_GetItem(__pyx_t_2, __pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 685, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_T); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 685, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_3 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_1, __pyx_t_5, __pyx_t_4) : __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 685, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_most_cared_Y_ = __pyx_t_3; + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":686 + * most_cared_X_ = X_[most_cared_aspects_indices] + * most_cared_Y_ = self.U2.dot(self.V[most_cared_aspects_indices, :].T) + * explicit_scores = most_cared_X_.dot(most_cared_Y_.T) / (self.num_most_cared_aspects * self.rating_scale) # <<<<<<<<<<<<<< + * item_scores = self.alpha * explicit_scores + (1 - self.alpha) * self.score(user_id) + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_most_cared_X_, __pyx_n_s_dot); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 686, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_most_cared_Y_, __pyx_n_s_T); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 686, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_3 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_1, __pyx_t_5, __pyx_t_4) : __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 686, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_num_most_cared_aspects); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 686, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_rating_scale); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 686, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = PyNumber_Multiply(__pyx_t_1, __pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 686, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyNumber_Divide(__pyx_t_3, __pyx_t_5); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 686, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_v_explicit_scores = __pyx_t_4; + __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":687 + * most_cared_Y_ = self.U2.dot(self.V[most_cared_aspects_indices, :].T) + * explicit_scores = most_cared_X_.dot(most_cared_Y_.T) / (self.num_most_cared_aspects * self.rating_scale) + * item_scores = self.alpha * explicit_scores + (1 - self.alpha) * self.score(user_id) # <<<<<<<<<<<<<< + * + * if item_ids is None: + */ + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_alpha); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 687, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = PyNumber_Multiply(__pyx_t_4, __pyx_v_explicit_scores); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 687, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_alpha); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 687, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = __Pyx_PyInt_SubtractCObj(__pyx_int_1, __pyx_t_4, 1, 0, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 687, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_score); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 687, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_4 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_1, __pyx_t_2, __pyx_v_user_id) : __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_v_user_id); + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 687, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyNumber_Multiply(__pyx_t_3, __pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 687, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = PyNumber_Add(__pyx_t_5, __pyx_t_1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 687, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_item_scores = __pyx_t_4; + __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":689 + * item_scores = self.alpha * explicit_scores + (1 - self.alpha) * self.score(user_id) + * + * if item_ids is None: # <<<<<<<<<<<<<< + * item_scores = item_scores + * item_rank = item_scores.argsort()[::-1] + */ + __pyx_t_6 = (__pyx_v_item_ids == Py_None); + __pyx_t_7 = (__pyx_t_6 != 0); + if (__pyx_t_7) { + + /* "cornac/models/comparer/recom_comparer_obj.pyx":690 + * + * if item_ids is None: + * item_scores = item_scores # <<<<<<<<<<<<<< + * item_rank = item_scores.argsort()[::-1] + * else: + */ + __Pyx_INCREF(__pyx_v_item_scores); + __Pyx_DECREF_SET(__pyx_v_item_scores, __pyx_v_item_scores); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":691 + * if item_ids is None: + * item_scores = item_scores + * item_rank = item_scores.argsort()[::-1] # <<<<<<<<<<<<<< + * else: + * num_items = max(self.train_set.num_items, max(item_ids) + 1) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_item_scores, __pyx_n_s_argsort); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 691, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_4 = (__pyx_t_5) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_5) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 691, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetItem(__pyx_t_4, __pyx_slice__10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 691, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_v_item_rank = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":689 + * item_scores = self.alpha * explicit_scores + (1 - self.alpha) * self.score(user_id) + * + * if item_ids is None: # <<<<<<<<<<<<<< + * item_scores = item_scores + * item_rank = item_scores.argsort()[::-1] + */ + goto __pyx_L3; + } + + /* "cornac/models/comparer/recom_comparer_obj.pyx":693 + * item_rank = item_scores.argsort()[::-1] + * else: + * num_items = max(self.train_set.num_items, max(item_ids) + 1) # <<<<<<<<<<<<<< + * item_scores = np.ones(num_items) * np.min(item_scores) + * item_scores[:self.train_set.num_items] = item_scores + */ + /*else*/ { + __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_max, __pyx_v_item_ids); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 693, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_AddObjC(__pyx_t_1, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 693, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 693, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_items); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 693, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = PyObject_RichCompare(__pyx_t_4, __pyx_t_5, Py_GT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 693, __pyx_L1_error) + __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) __PYX_ERR(0, 693, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_7) { + __Pyx_INCREF(__pyx_t_4); + __pyx_t_1 = __pyx_t_4; + } else { + __Pyx_INCREF(__pyx_t_5); + __pyx_t_1 = __pyx_t_5; + } + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __pyx_t_1; + __Pyx_INCREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_items = __pyx_t_4; + __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":694 + * else: + * num_items = max(self.train_set.num_items, max(item_ids) + 1) + * item_scores = np.ones(num_items) * np.min(item_scores) # <<<<<<<<<<<<<< + * item_scores[:self.train_set.num_items] = item_scores + * item_rank = item_scores.argsort()[::-1] + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 694, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_ones); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 694, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + } + } + __pyx_t_4 = (__pyx_t_1) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_1, __pyx_v_num_items) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_v_num_items); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 694, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 694, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_min_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 694, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_5 = (__pyx_t_1) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_1, __pyx_v_item_scores) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_v_item_scores); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 694, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyNumber_Multiply(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 694, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF_SET(__pyx_v_item_scores, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":695 + * num_items = max(self.train_set.num_items, max(item_ids) + 1) + * item_scores = np.ones(num_items) * np.min(item_scores) + * item_scores[:self.train_set.num_items] = item_scores # <<<<<<<<<<<<<< + * item_rank = item_scores.argsort()[::-1] + * item_rank = intersects(item_rank, item_ids, assume_unique=True) + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 695, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_num_items); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 695, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__Pyx_PyObject_SetSlice(__pyx_v_item_scores, __pyx_v_item_scores, 0, 0, NULL, &__pyx_t_5, NULL, 0, 0, 1) < 0) __PYX_ERR(0, 695, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":696 + * item_scores = np.ones(num_items) * np.min(item_scores) + * item_scores[:self.train_set.num_items] = item_scores + * item_rank = item_scores.argsort()[::-1] # <<<<<<<<<<<<<< + * item_rank = intersects(item_rank, item_ids, assume_unique=True) + * item_scores = item_scores[item_ids] + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_item_scores, __pyx_n_s_argsort); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 696, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_4)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_4); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_5 = (__pyx_t_4) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_4) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 696, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetItem(__pyx_t_5, __pyx_slice__10); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 696, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_v_item_rank = __pyx_t_3; + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":697 + * item_scores[:self.train_set.num_items] = item_scores + * item_rank = item_scores.argsort()[::-1] + * item_rank = intersects(item_rank, item_ids, assume_unique=True) # <<<<<<<<<<<<<< + * item_scores = item_scores[item_ids] + * return item_rank, item_scores + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_intersects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 697, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 697, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_INCREF(__pyx_v_item_rank); + __Pyx_GIVEREF(__pyx_v_item_rank); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_v_item_rank); + __Pyx_INCREF(__pyx_v_item_ids); + __Pyx_GIVEREF(__pyx_v_item_ids); + PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_v_item_ids); + __pyx_t_4 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 697, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_assume_unique, Py_True) < 0) __PYX_ERR(0, 697, __pyx_L1_error) + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_5, __pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 697, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF_SET(__pyx_v_item_rank, __pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":698 + * item_rank = item_scores.argsort()[::-1] + * item_rank = intersects(item_rank, item_ids, assume_unique=True) + * item_scores = item_scores[item_ids] # <<<<<<<<<<<<<< + * return item_rank, item_scores + */ + __pyx_t_1 = __Pyx_PyObject_GetItem(__pyx_v_item_scores, __pyx_v_item_ids); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 698, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF_SET(__pyx_v_item_scores, __pyx_t_1); + __pyx_t_1 = 0; + } + __pyx_L3:; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":699 + * item_rank = intersects(item_rank, item_ids, assume_unique=True) + * item_scores = item_scores[item_ids] + * return item_rank, item_scores # <<<<<<<<<<<<<< + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 699, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_item_rank); + __Pyx_GIVEREF(__pyx_v_item_rank); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_item_rank); + __Pyx_INCREF(__pyx_v_item_scores); + __Pyx_GIVEREF(__pyx_v_item_scores); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_item_scores); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":664 + * return item_score + * + * def rank(self, user_id, item_ids=None): # <<<<<<<<<<<<<< + * """Rank all test items for a given user. + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_obj.ComparERObj.rank", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_X_); + __Pyx_XDECREF(__pyx_v_most_cared_aspects_indices); + __Pyx_XDECREF(__pyx_v_most_cared_X_); + __Pyx_XDECREF(__pyx_v_most_cared_Y_); + __Pyx_XDECREF(__pyx_v_explicit_scores); + __Pyx_XDECREF(__pyx_v_item_scores); + __Pyx_XDECREF(__pyx_v_item_rank); + __Pyx_XDECREF(__pyx_v_num_items); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":258 + * # experimental exception made for __getbuffer__ and __releasebuffer__ + * # -- the details of this may change. + * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< + * # This implementation of getbuffer is geared towards Cython + * # requirements, and does not yet fulfill the PEP. + */ + +/* Python wrapper */ +static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); + __pyx_r = __pyx_pf_5numpy_7ndarray___getbuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { + int __pyx_v_i; + int __pyx_v_ndim; + int __pyx_v_endian_detector; + int __pyx_v_little_endian; + int __pyx_v_t; + char *__pyx_v_f; + PyArray_Descr *__pyx_v_descr = 0; + int __pyx_v_offset; + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + int __pyx_t_5; + int __pyx_t_6; + PyArray_Descr *__pyx_t_7; + PyObject *__pyx_t_8 = NULL; + char *__pyx_t_9; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + if (__pyx_v_info == NULL) { + PyErr_SetString(PyExc_BufferError, "PyObject_GetBuffer: view==NULL argument is obsolete"); + return -1; + } + __Pyx_RefNannySetupContext("__getbuffer__", 0); + __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(__pyx_v_info->obj); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":265 + * + * cdef int i, ndim + * cdef int endian_detector = 1 # <<<<<<<<<<<<<< + * cdef bint little_endian = ((&endian_detector)[0] != 0) + * + */ + __pyx_v_endian_detector = 1; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":266 + * cdef int i, ndim + * cdef int endian_detector = 1 + * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< + * + * ndim = PyArray_NDIM(self) + */ + __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":268 + * cdef bint little_endian = ((&endian_detector)[0] != 0) + * + * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< + * + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) + */ + __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":270 + * ndim = PyArray_NDIM(self) + * + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): + * raise ValueError(u"ndarray is not C contiguous") + */ + __pyx_t_2 = (((__pyx_v_flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L4_bool_binop_done; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":271 + * + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< + * raise ValueError(u"ndarray is not C contiguous") + * + */ + __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_ARRAY_C_CONTIGUOUS) != 0)) != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L4_bool_binop_done:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":270 + * ndim = PyArray_NDIM(self) + * + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): + * raise ValueError(u"ndarray is not C contiguous") + */ + if (unlikely(__pyx_t_1)) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":272 + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): + * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< + * + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__11, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(1, 272, __pyx_L1_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":270 + * ndim = PyArray_NDIM(self) + * + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): + * raise ValueError(u"ndarray is not C contiguous") + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":274 + * raise ValueError(u"ndarray is not C contiguous") + * + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): + * raise ValueError(u"ndarray is not Fortran contiguous") + */ + __pyx_t_2 = (((__pyx_v_flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L7_bool_binop_done; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":275 + * + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< + * raise ValueError(u"ndarray is not Fortran contiguous") + * + */ + __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_ARRAY_F_CONTIGUOUS) != 0)) != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L7_bool_binop_done:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":274 + * raise ValueError(u"ndarray is not C contiguous") + * + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): + * raise ValueError(u"ndarray is not Fortran contiguous") + */ + if (unlikely(__pyx_t_1)) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":276 + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): + * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< + * + * info.buf = PyArray_DATA(self) + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__12, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(1, 276, __pyx_L1_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":274 + * raise ValueError(u"ndarray is not C contiguous") + * + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): + * raise ValueError(u"ndarray is not Fortran contiguous") + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":278 + * raise ValueError(u"ndarray is not Fortran contiguous") + * + * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< + * info.ndim = ndim + * if sizeof(npy_intp) != sizeof(Py_ssize_t): + */ + __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":279 + * + * info.buf = PyArray_DATA(self) + * info.ndim = ndim # <<<<<<<<<<<<<< + * if sizeof(npy_intp) != sizeof(Py_ssize_t): + * # Allocate new buffer for strides and shape info. + */ + __pyx_v_info->ndim = __pyx_v_ndim; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":280 + * info.buf = PyArray_DATA(self) + * info.ndim = ndim + * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< + * # Allocate new buffer for strides and shape info. + * # This is allocated as one block, strides first. + */ + __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); + if (__pyx_t_1) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":283 + * # Allocate new buffer for strides and shape info. + * # This is allocated as one block, strides first. + * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) # <<<<<<<<<<<<<< + * info.shape = info.strides + ndim + * for i in range(ndim): + */ + __pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim)))); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":284 + * # This is allocated as one block, strides first. + * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) + * info.shape = info.strides + ndim # <<<<<<<<<<<<<< + * for i in range(ndim): + * info.strides[i] = PyArray_STRIDES(self)[i] + */ + __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":285 + * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) + * info.shape = info.strides + ndim + * for i in range(ndim): # <<<<<<<<<<<<<< + * info.strides[i] = PyArray_STRIDES(self)[i] + * info.shape[i] = PyArray_DIMS(self)[i] + */ + __pyx_t_4 = __pyx_v_ndim; + __pyx_t_5 = __pyx_t_4; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":286 + * info.shape = info.strides + ndim + * for i in range(ndim): + * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< + * info.shape[i] = PyArray_DIMS(self)[i] + * else: + */ + (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":287 + * for i in range(ndim): + * info.strides[i] = PyArray_STRIDES(self)[i] + * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< + * else: + * info.strides = PyArray_STRIDES(self) + */ + (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":280 + * info.buf = PyArray_DATA(self) + * info.ndim = ndim + * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< + * # Allocate new buffer for strides and shape info. + * # This is allocated as one block, strides first. + */ + goto __pyx_L9; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":289 + * info.shape[i] = PyArray_DIMS(self)[i] + * else: + * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< + * info.shape = PyArray_DIMS(self) + * info.suboffsets = NULL + */ + /*else*/ { + __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":290 + * else: + * info.strides = PyArray_STRIDES(self) + * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< + * info.suboffsets = NULL + * info.itemsize = PyArray_ITEMSIZE(self) + */ + __pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(__pyx_v_self)); + } + __pyx_L9:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":291 + * info.strides = PyArray_STRIDES(self) + * info.shape = PyArray_DIMS(self) + * info.suboffsets = NULL # <<<<<<<<<<<<<< + * info.itemsize = PyArray_ITEMSIZE(self) + * info.readonly = not PyArray_ISWRITEABLE(self) + */ + __pyx_v_info->suboffsets = NULL; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":292 + * info.shape = PyArray_DIMS(self) + * info.suboffsets = NULL + * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< + * info.readonly = not PyArray_ISWRITEABLE(self) + * + */ + __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":293 + * info.suboffsets = NULL + * info.itemsize = PyArray_ITEMSIZE(self) + * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< + * + * cdef int t + */ + __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":296 + * + * cdef int t + * cdef char* f = NULL # <<<<<<<<<<<<<< + * cdef dtype descr = PyArray_DESCR(self) + * cdef int offset + */ + __pyx_v_f = NULL; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":297 + * cdef int t + * cdef char* f = NULL + * cdef dtype descr = PyArray_DESCR(self) # <<<<<<<<<<<<<< + * cdef int offset + * + */ + __pyx_t_7 = PyArray_DESCR(__pyx_v_self); + __pyx_t_3 = ((PyObject *)__pyx_t_7); + __Pyx_INCREF(__pyx_t_3); + __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":300 + * cdef int offset + * + * info.obj = self # <<<<<<<<<<<<<< + * + * if not PyDataType_HASFIELDS(descr): + */ + __Pyx_INCREF(((PyObject *)__pyx_v_self)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); + __pyx_v_info->obj = ((PyObject *)__pyx_v_self); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":302 + * info.obj = self + * + * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< + * t = descr.type_num + * if ((descr.byteorder == c'>' and little_endian) or + */ + __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0); + if (__pyx_t_1) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":303 + * + * if not PyDataType_HASFIELDS(descr): + * t = descr.type_num # <<<<<<<<<<<<<< + * if ((descr.byteorder == c'>' and little_endian) or + * (descr.byteorder == c'<' and not little_endian)): + */ + __pyx_t_4 = __pyx_v_descr->type_num; + __pyx_v_t = __pyx_t_4; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":304 + * if not PyDataType_HASFIELDS(descr): + * t = descr.type_num + * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< + * (descr.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + */ + __pyx_t_2 = ((__pyx_v_descr->byteorder == '>') != 0); + if (!__pyx_t_2) { + goto __pyx_L15_next_or; + } else { + } + __pyx_t_2 = (__pyx_v_little_endian != 0); + if (!__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L14_bool_binop_done; + } + __pyx_L15_next_or:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":305 + * t = descr.type_num + * if ((descr.byteorder == c'>' and little_endian) or + * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< + * raise ValueError(u"Non-native byte order not supported") + * if t == NPY_BYTE: f = "b" + */ + __pyx_t_2 = ((__pyx_v_descr->byteorder == '<') != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L14_bool_binop_done; + } + __pyx_t_2 = ((!(__pyx_v_little_endian != 0)) != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L14_bool_binop_done:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":304 + * if not PyDataType_HASFIELDS(descr): + * t = descr.type_num + * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< + * (descr.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + */ + if (unlikely(__pyx_t_1)) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":306 + * if ((descr.byteorder == c'>' and little_endian) or + * (descr.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< + * if t == NPY_BYTE: f = "b" + * elif t == NPY_UBYTE: f = "B" + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__13, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(1, 306, __pyx_L1_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":304 + * if not PyDataType_HASFIELDS(descr): + * t = descr.type_num + * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< + * (descr.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":307 + * (descr.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< + * elif t == NPY_UBYTE: f = "B" + * elif t == NPY_SHORT: f = "h" + */ + switch (__pyx_v_t) { + case NPY_BYTE: + __pyx_v_f = ((char *)"b"); + break; + case NPY_UBYTE: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":308 + * raise ValueError(u"Non-native byte order not supported") + * if t == NPY_BYTE: f = "b" + * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< + * elif t == NPY_SHORT: f = "h" + * elif t == NPY_USHORT: f = "H" + */ + __pyx_v_f = ((char *)"B"); + break; + case NPY_SHORT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":309 + * if t == NPY_BYTE: f = "b" + * elif t == NPY_UBYTE: f = "B" + * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< + * elif t == NPY_USHORT: f = "H" + * elif t == NPY_INT: f = "i" + */ + __pyx_v_f = ((char *)"h"); + break; + case NPY_USHORT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":310 + * elif t == NPY_UBYTE: f = "B" + * elif t == NPY_SHORT: f = "h" + * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< + * elif t == NPY_INT: f = "i" + * elif t == NPY_UINT: f = "I" + */ + __pyx_v_f = ((char *)"H"); + break; + case NPY_INT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":311 + * elif t == NPY_SHORT: f = "h" + * elif t == NPY_USHORT: f = "H" + * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< + * elif t == NPY_UINT: f = "I" + * elif t == NPY_LONG: f = "l" + */ + __pyx_v_f = ((char *)"i"); + break; + case NPY_UINT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":312 + * elif t == NPY_USHORT: f = "H" + * elif t == NPY_INT: f = "i" + * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< + * elif t == NPY_LONG: f = "l" + * elif t == NPY_ULONG: f = "L" + */ + __pyx_v_f = ((char *)"I"); + break; + case NPY_LONG: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":313 + * elif t == NPY_INT: f = "i" + * elif t == NPY_UINT: f = "I" + * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< + * elif t == NPY_ULONG: f = "L" + * elif t == NPY_LONGLONG: f = "q" + */ + __pyx_v_f = ((char *)"l"); + break; + case NPY_ULONG: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":314 + * elif t == NPY_UINT: f = "I" + * elif t == NPY_LONG: f = "l" + * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< + * elif t == NPY_LONGLONG: f = "q" + * elif t == NPY_ULONGLONG: f = "Q" + */ + __pyx_v_f = ((char *)"L"); + break; + case NPY_LONGLONG: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":315 + * elif t == NPY_LONG: f = "l" + * elif t == NPY_ULONG: f = "L" + * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< + * elif t == NPY_ULONGLONG: f = "Q" + * elif t == NPY_FLOAT: f = "f" + */ + __pyx_v_f = ((char *)"q"); + break; + case NPY_ULONGLONG: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":316 + * elif t == NPY_ULONG: f = "L" + * elif t == NPY_LONGLONG: f = "q" + * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< + * elif t == NPY_FLOAT: f = "f" + * elif t == NPY_DOUBLE: f = "d" + */ + __pyx_v_f = ((char *)"Q"); + break; + case NPY_FLOAT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":317 + * elif t == NPY_LONGLONG: f = "q" + * elif t == NPY_ULONGLONG: f = "Q" + * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< + * elif t == NPY_DOUBLE: f = "d" + * elif t == NPY_LONGDOUBLE: f = "g" + */ + __pyx_v_f = ((char *)"f"); + break; + case NPY_DOUBLE: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":318 + * elif t == NPY_ULONGLONG: f = "Q" + * elif t == NPY_FLOAT: f = "f" + * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< + * elif t == NPY_LONGDOUBLE: f = "g" + * elif t == NPY_CFLOAT: f = "Zf" + */ + __pyx_v_f = ((char *)"d"); + break; + case NPY_LONGDOUBLE: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":319 + * elif t == NPY_FLOAT: f = "f" + * elif t == NPY_DOUBLE: f = "d" + * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< + * elif t == NPY_CFLOAT: f = "Zf" + * elif t == NPY_CDOUBLE: f = "Zd" + */ + __pyx_v_f = ((char *)"g"); + break; + case NPY_CFLOAT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":320 + * elif t == NPY_DOUBLE: f = "d" + * elif t == NPY_LONGDOUBLE: f = "g" + * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< + * elif t == NPY_CDOUBLE: f = "Zd" + * elif t == NPY_CLONGDOUBLE: f = "Zg" + */ + __pyx_v_f = ((char *)"Zf"); + break; + case NPY_CDOUBLE: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":321 + * elif t == NPY_LONGDOUBLE: f = "g" + * elif t == NPY_CFLOAT: f = "Zf" + * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< + * elif t == NPY_CLONGDOUBLE: f = "Zg" + * elif t == NPY_OBJECT: f = "O" + */ + __pyx_v_f = ((char *)"Zd"); + break; + case NPY_CLONGDOUBLE: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":322 + * elif t == NPY_CFLOAT: f = "Zf" + * elif t == NPY_CDOUBLE: f = "Zd" + * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< + * elif t == NPY_OBJECT: f = "O" + * else: + */ + __pyx_v_f = ((char *)"Zg"); + break; + case NPY_OBJECT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":323 + * elif t == NPY_CDOUBLE: f = "Zd" + * elif t == NPY_CLONGDOUBLE: f = "Zg" + * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< + * else: + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) + */ + __pyx_v_f = ((char *)"O"); + break; + default: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":325 + * elif t == NPY_OBJECT: f = "O" + * else: + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< + * info.format = f + * return + */ + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_t); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 325, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = PyUnicode_Format(__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 325, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_8); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 325, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(1, 325, __pyx_L1_error) + break; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":326 + * else: + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) + * info.format = f # <<<<<<<<<<<<<< + * return + * else: + */ + __pyx_v_info->format = __pyx_v_f; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":327 + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) + * info.format = f + * return # <<<<<<<<<<<<<< + * else: + * info.format = PyObject_Malloc(_buffer_format_string_len) + */ + __pyx_r = 0; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":302 + * info.obj = self + * + * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< + * t = descr.type_num + * if ((descr.byteorder == c'>' and little_endian) or + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":329 + * return + * else: + * info.format = PyObject_Malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< + * info.format[0] = c'^' # Native data types, manual alignment + * offset = 0 + */ + /*else*/ { + __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF)); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":330 + * else: + * info.format = PyObject_Malloc(_buffer_format_string_len) + * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< + * offset = 0 + * f = _util_dtypestring(descr, info.format + 1, + */ + (__pyx_v_info->format[0]) = '^'; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":331 + * info.format = PyObject_Malloc(_buffer_format_string_len) + * info.format[0] = c'^' # Native data types, manual alignment + * offset = 0 # <<<<<<<<<<<<<< + * f = _util_dtypestring(descr, info.format + 1, + * info.format + _buffer_format_string_len, + */ + __pyx_v_offset = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":332 + * info.format[0] = c'^' # Native data types, manual alignment + * offset = 0 + * f = _util_dtypestring(descr, info.format + 1, # <<<<<<<<<<<<<< + * info.format + _buffer_format_string_len, + * &offset) + */ + __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 332, __pyx_L1_error) + __pyx_v_f = __pyx_t_9; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":335 + * info.format + _buffer_format_string_len, + * &offset) + * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< + * + * def __releasebuffer__(ndarray self, Py_buffer* info): + */ + (__pyx_v_f[0]) = '\x00'; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":258 + * # experimental exception made for __getbuffer__ and __releasebuffer__ + * # -- the details of this may change. + * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< + * # This implementation of getbuffer is geared towards Cython + * # requirements, and does not yet fulfill the PEP. + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("numpy.ndarray.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + if (__pyx_v_info->obj != NULL) { + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0; + } + goto __pyx_L2; + __pyx_L0:; + if (__pyx_v_info->obj == Py_None) { + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0; + } + __pyx_L2:; + __Pyx_XDECREF((PyObject *)__pyx_v_descr); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":337 + * f[0] = c'\0' # Terminate format string + * + * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< + * if PyArray_HASFIELDS(self): + * PyObject_Free(info.format) + */ + +/* Python wrapper */ +static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info); /*proto*/ +static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__releasebuffer__ (wrapper)", 0); + __pyx_pf_5numpy_7ndarray_2__releasebuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info) { + __Pyx_RefNannyDeclarations + int __pyx_t_1; + __Pyx_RefNannySetupContext("__releasebuffer__", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":338 + * + * def __releasebuffer__(ndarray self, Py_buffer* info): + * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< + * PyObject_Free(info.format) + * if sizeof(npy_intp) != sizeof(Py_ssize_t): + */ + __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); + if (__pyx_t_1) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":339 + * def __releasebuffer__(ndarray self, Py_buffer* info): + * if PyArray_HASFIELDS(self): + * PyObject_Free(info.format) # <<<<<<<<<<<<<< + * if sizeof(npy_intp) != sizeof(Py_ssize_t): + * PyObject_Free(info.strides) + */ + PyObject_Free(__pyx_v_info->format); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":338 + * + * def __releasebuffer__(ndarray self, Py_buffer* info): + * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< + * PyObject_Free(info.format) + * if sizeof(npy_intp) != sizeof(Py_ssize_t): + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":340 + * if PyArray_HASFIELDS(self): + * PyObject_Free(info.format) + * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< + * PyObject_Free(info.strides) + * # info.shape was stored after info.strides in the same block + */ + __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); + if (__pyx_t_1) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":341 + * PyObject_Free(info.format) + * if sizeof(npy_intp) != sizeof(Py_ssize_t): + * PyObject_Free(info.strides) # <<<<<<<<<<<<<< + * # info.shape was stored after info.strides in the same block + * + */ + PyObject_Free(__pyx_v_info->strides); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":340 + * if PyArray_HASFIELDS(self): + * PyObject_Free(info.format) + * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< + * PyObject_Free(info.strides) + * # info.shape was stored after info.strides in the same block + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":337 + * f[0] = c'\0' # Terminate format string + * + * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< + * if PyArray_HASFIELDS(self): + * PyObject_Free(info.format) + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":820 + * ctypedef npy_cdouble complex_t + * + * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(1, a) + * + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__pyx_v_a) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":821 + * + * cdef inline object PyArray_MultiIterNew1(a): + * return PyArray_MultiIterNew(1, a) # <<<<<<<<<<<<<< + * + * cdef inline object PyArray_MultiIterNew2(a, b): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyArray_MultiIterNew(1, ((void *)__pyx_v_a)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 821, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":820 + * ctypedef npy_cdouble complex_t + * + * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(1, a) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("numpy.PyArray_MultiIterNew1", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":823 + * return PyArray_MultiIterNew(1, a) + * + * cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(2, a, b) + * + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__pyx_v_a, PyObject *__pyx_v_b) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":824 + * + * cdef inline object PyArray_MultiIterNew2(a, b): + * return PyArray_MultiIterNew(2, a, b) # <<<<<<<<<<<<<< + * + * cdef inline object PyArray_MultiIterNew3(a, b, c): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyArray_MultiIterNew(2, ((void *)__pyx_v_a), ((void *)__pyx_v_b)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 824, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":823 + * return PyArray_MultiIterNew(1, a) + * + * cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(2, a, b) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("numpy.PyArray_MultiIterNew2", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":826 + * return PyArray_MultiIterNew(2, a, b) + * + * cdef inline object PyArray_MultiIterNew3(a, b, c): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(3, a, b, c) + * + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":827 + * + * cdef inline object PyArray_MultiIterNew3(a, b, c): + * return PyArray_MultiIterNew(3, a, b, c) # <<<<<<<<<<<<<< + * + * cdef inline object PyArray_MultiIterNew4(a, b, c, d): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyArray_MultiIterNew(3, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 827, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":826 + * return PyArray_MultiIterNew(2, a, b) + * + * cdef inline object PyArray_MultiIterNew3(a, b, c): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(3, a, b, c) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("numpy.PyArray_MultiIterNew3", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":829 + * return PyArray_MultiIterNew(3, a, b, c) + * + * cdef inline object PyArray_MultiIterNew4(a, b, c, d): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(4, a, b, c, d) + * + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":830 + * + * cdef inline object PyArray_MultiIterNew4(a, b, c, d): + * return PyArray_MultiIterNew(4, a, b, c, d) # <<<<<<<<<<<<<< + * + * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyArray_MultiIterNew(4, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 830, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":829 + * return PyArray_MultiIterNew(3, a, b, c) + * + * cdef inline object PyArray_MultiIterNew4(a, b, c, d): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(4, a, b, c, d) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("numpy.PyArray_MultiIterNew4", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":832 + * return PyArray_MultiIterNew(4, a, b, c, d) + * + * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(5, a, b, c, d, e) + * + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d, PyObject *__pyx_v_e) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":833 + * + * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): + * return PyArray_MultiIterNew(5, a, b, c, d, e) # <<<<<<<<<<<<<< + * + * cdef inline tuple PyDataType_SHAPE(dtype d): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyArray_MultiIterNew(5, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d), ((void *)__pyx_v_e)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 833, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":832 + * return PyArray_MultiIterNew(4, a, b, c, d) + * + * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(5, a, b, c, d, e) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("numpy.PyArray_MultiIterNew5", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":835 + * return PyArray_MultiIterNew(5, a, b, c, d, e) + * + * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< + * if PyDataType_HASSUBARRAY(d): + * return d.subarray.shape + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__pyx_v_d) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + __Pyx_RefNannySetupContext("PyDataType_SHAPE", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":836 + * + * cdef inline tuple PyDataType_SHAPE(dtype d): + * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< + * return d.subarray.shape + * else: + */ + __pyx_t_1 = (PyDataType_HASSUBARRAY(__pyx_v_d) != 0); + if (__pyx_t_1) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":837 + * cdef inline tuple PyDataType_SHAPE(dtype d): + * if PyDataType_HASSUBARRAY(d): + * return d.subarray.shape # <<<<<<<<<<<<<< + * else: + * return () + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(((PyObject*)__pyx_v_d->subarray->shape)); + __pyx_r = ((PyObject*)__pyx_v_d->subarray->shape); + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":836 + * + * cdef inline tuple PyDataType_SHAPE(dtype d): + * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< + * return d.subarray.shape + * else: + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":839 + * return d.subarray.shape + * else: + * return () # <<<<<<<<<<<<<< + * + * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: + */ + /*else*/ { + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_empty_tuple); + __pyx_r = __pyx_empty_tuple; + goto __pyx_L0; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":835 + * return PyArray_MultiIterNew(5, a, b, c, d, e) + * + * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< + * if PyDataType_HASSUBARRAY(d): + * return d.subarray.shape + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":841 + * return () + * + * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< + * # Recursive utility function used in __getbuffer__ to get format + * # string. The new location in the format string is returned. + */ + +static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx_v_descr, char *__pyx_v_f, char *__pyx_v_end, int *__pyx_v_offset) { + PyArray_Descr *__pyx_v_child = 0; + int __pyx_v_endian_detector; + int __pyx_v_little_endian; + PyObject *__pyx_v_fields = 0; + PyObject *__pyx_v_childname = NULL; + PyObject *__pyx_v_new_offset = NULL; + PyObject *__pyx_v_t = NULL; + char *__pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + Py_ssize_t __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + int __pyx_t_5; + int __pyx_t_6; + int __pyx_t_7; + long __pyx_t_8; + char *__pyx_t_9; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_util_dtypestring", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":846 + * + * cdef dtype child + * cdef int endian_detector = 1 # <<<<<<<<<<<<<< + * cdef bint little_endian = ((&endian_detector)[0] != 0) + * cdef tuple fields + */ + __pyx_v_endian_detector = 1; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":847 + * cdef dtype child + * cdef int endian_detector = 1 + * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< + * cdef tuple fields + * + */ + __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":850 + * cdef tuple fields + * + * for childname in descr.names: # <<<<<<<<<<<<<< + * fields = descr.fields[childname] + * child, new_offset = fields + */ + if (unlikely(__pyx_v_descr->names == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); + __PYX_ERR(1, 850, __pyx_L1_error) + } + __pyx_t_1 = __pyx_v_descr->names; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0; + for (;;) { + if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_3); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(1, 850, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 850, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); + __pyx_t_3 = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":851 + * + * for childname in descr.names: + * fields = descr.fields[childname] # <<<<<<<<<<<<<< + * child, new_offset = fields + * + */ + if (unlikely(__pyx_v_descr->fields == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(1, 851, __pyx_L1_error) + } + __pyx_t_3 = __Pyx_PyDict_GetItem(__pyx_v_descr->fields, __pyx_v_childname); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 851, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + if (!(likely(PyTuple_CheckExact(__pyx_t_3))||((__pyx_t_3) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "tuple", Py_TYPE(__pyx_t_3)->tp_name), 0))) __PYX_ERR(1, 851, __pyx_L1_error) + __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); + __pyx_t_3 = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":852 + * for childname in descr.names: + * fields = descr.fields[childname] + * child, new_offset = fields # <<<<<<<<<<<<<< + * + * if (end - f) - (new_offset - offset[0]) < 15: + */ + if (likely(__pyx_v_fields != Py_None)) { + PyObject* sequence = __pyx_v_fields; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(1, 852, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(__pyx_t_4); + #else + __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 852, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 852, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + #endif + } else { + __Pyx_RaiseNoneNotIterableError(); __PYX_ERR(1, 852, __pyx_L1_error) + } + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_dtype))))) __PYX_ERR(1, 852, __pyx_L1_error) + __Pyx_XDECREF_SET(__pyx_v_child, ((PyArray_Descr *)__pyx_t_3)); + __pyx_t_3 = 0; + __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); + __pyx_t_4 = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":854 + * child, new_offset = fields + * + * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") + * + */ + __pyx_t_4 = __Pyx_PyInt_From_int((__pyx_v_offset[0])); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 854, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyNumber_Subtract(__pyx_v_new_offset, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 854, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_5 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_5 == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 854, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0); + if (unlikely(__pyx_t_6)) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":855 + * + * if (end - f) - (new_offset - offset[0]) < 15: + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< + * + * if ((child.byteorder == c'>' and little_endian) or + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_tuple__14, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 855, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(1, 855, __pyx_L1_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":854 + * child, new_offset = fields + * + * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") + * + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":857 + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") + * + * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< + * (child.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + */ + __pyx_t_7 = ((__pyx_v_child->byteorder == '>') != 0); + if (!__pyx_t_7) { + goto __pyx_L8_next_or; + } else { + } + __pyx_t_7 = (__pyx_v_little_endian != 0); + if (!__pyx_t_7) { + } else { + __pyx_t_6 = __pyx_t_7; + goto __pyx_L7_bool_binop_done; + } + __pyx_L8_next_or:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":858 + * + * if ((child.byteorder == c'>' and little_endian) or + * (child.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< + * raise ValueError(u"Non-native byte order not supported") + * # One could encode it in the format string and have Cython + */ + __pyx_t_7 = ((__pyx_v_child->byteorder == '<') != 0); + if (__pyx_t_7) { + } else { + __pyx_t_6 = __pyx_t_7; + goto __pyx_L7_bool_binop_done; + } + __pyx_t_7 = ((!(__pyx_v_little_endian != 0)) != 0); + __pyx_t_6 = __pyx_t_7; + __pyx_L7_bool_binop_done:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":857 + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") + * + * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< + * (child.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + */ + if (unlikely(__pyx_t_6)) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":859 + * if ((child.byteorder == c'>' and little_endian) or + * (child.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< + * # One could encode it in the format string and have Cython + * # complain instead, BUT: < and > in format strings also imply + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__13, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 859, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(1, 859, __pyx_L1_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":857 + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") + * + * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< + * (child.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":869 + * + * # Output padding bytes + * while offset[0] < new_offset: # <<<<<<<<<<<<<< + * f[0] = 120 # "x"; pad byte + * f += 1 + */ + while (1) { + __pyx_t_3 = __Pyx_PyInt_From_int((__pyx_v_offset[0])); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 869, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_t_3, __pyx_v_new_offset, Py_LT); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 869, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 869, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (!__pyx_t_6) break; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":870 + * # Output padding bytes + * while offset[0] < new_offset: + * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< + * f += 1 + * offset[0] += 1 + */ + (__pyx_v_f[0]) = 0x78; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":871 + * while offset[0] < new_offset: + * f[0] = 120 # "x"; pad byte + * f += 1 # <<<<<<<<<<<<<< + * offset[0] += 1 + * + */ + __pyx_v_f = (__pyx_v_f + 1); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":872 + * f[0] = 120 # "x"; pad byte + * f += 1 + * offset[0] += 1 # <<<<<<<<<<<<<< + * + * offset[0] += child.itemsize + */ + __pyx_t_8 = 0; + (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1); + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":874 + * offset[0] += 1 + * + * offset[0] += child.itemsize # <<<<<<<<<<<<<< + * + * if not PyDataType_HASFIELDS(child): + */ + __pyx_t_8 = 0; + (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":876 + * offset[0] += child.itemsize + * + * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< + * t = child.type_num + * if end - f < 5: + */ + __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); + if (__pyx_t_6) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":877 + * + * if not PyDataType_HASFIELDS(child): + * t = child.type_num # <<<<<<<<<<<<<< + * if end - f < 5: + * raise RuntimeError(u"Format string allocated too short.") + */ + __pyx_t_4 = __Pyx_PyInt_From_int(__pyx_v_child->type_num); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 877, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4); + __pyx_t_4 = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":878 + * if not PyDataType_HASFIELDS(child): + * t = child.type_num + * if end - f < 5: # <<<<<<<<<<<<<< + * raise RuntimeError(u"Format string allocated too short.") + * + */ + __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); + if (unlikely(__pyx_t_6)) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":879 + * t = child.type_num + * if end - f < 5: + * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< + * + * # Until ticket #99 is fixed, use integers to avoid warnings + */ + __pyx_t_4 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_tuple__15, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 879, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_Raise(__pyx_t_4, 0, 0, 0); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __PYX_ERR(1, 879, __pyx_L1_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":878 + * if not PyDataType_HASFIELDS(child): + * t = child.type_num + * if end - f < 5: # <<<<<<<<<<<<<< + * raise RuntimeError(u"Format string allocated too short.") + * + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":882 + * + * # Until ticket #99 is fixed, use integers to avoid warnings + * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< + * elif t == NPY_UBYTE: f[0] = 66 #"B" + * elif t == NPY_SHORT: f[0] = 104 #"h" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_BYTE); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 882, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 882, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 882, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 98; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":883 + * # Until ticket #99 is fixed, use integers to avoid warnings + * if t == NPY_BYTE: f[0] = 98 #"b" + * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< + * elif t == NPY_SHORT: f[0] = 104 #"h" + * elif t == NPY_USHORT: f[0] = 72 #"H" + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_UBYTE); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 883, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 883, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 883, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 66; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":884 + * if t == NPY_BYTE: f[0] = 98 #"b" + * elif t == NPY_UBYTE: f[0] = 66 #"B" + * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< + * elif t == NPY_USHORT: f[0] = 72 #"H" + * elif t == NPY_INT: f[0] = 105 #"i" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_SHORT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 884, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 884, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 884, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x68; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":885 + * elif t == NPY_UBYTE: f[0] = 66 #"B" + * elif t == NPY_SHORT: f[0] = 104 #"h" + * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< + * elif t == NPY_INT: f[0] = 105 #"i" + * elif t == NPY_UINT: f[0] = 73 #"I" + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_USHORT); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 885, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 885, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 885, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 72; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":886 + * elif t == NPY_SHORT: f[0] = 104 #"h" + * elif t == NPY_USHORT: f[0] = 72 #"H" + * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< + * elif t == NPY_UINT: f[0] = 73 #"I" + * elif t == NPY_LONG: f[0] = 108 #"l" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_INT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 886, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 886, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 886, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x69; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":887 + * elif t == NPY_USHORT: f[0] = 72 #"H" + * elif t == NPY_INT: f[0] = 105 #"i" + * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< + * elif t == NPY_LONG: f[0] = 108 #"l" + * elif t == NPY_ULONG: f[0] = 76 #"L" + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_UINT); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 887, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 887, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 887, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 73; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":888 + * elif t == NPY_INT: f[0] = 105 #"i" + * elif t == NPY_UINT: f[0] = 73 #"I" + * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< + * elif t == NPY_ULONG: f[0] = 76 #"L" + * elif t == NPY_LONGLONG: f[0] = 113 #"q" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_LONG); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 888, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 888, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 888, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x6C; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":889 + * elif t == NPY_UINT: f[0] = 73 #"I" + * elif t == NPY_LONG: f[0] = 108 #"l" + * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< + * elif t == NPY_LONGLONG: f[0] = 113 #"q" + * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_ULONG); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 889, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 889, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 889, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 76; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":890 + * elif t == NPY_LONG: f[0] = 108 #"l" + * elif t == NPY_ULONG: f[0] = 76 #"L" + * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< + * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" + * elif t == NPY_FLOAT: f[0] = 102 #"f" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_LONGLONG); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 890, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 890, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 890, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x71; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":891 + * elif t == NPY_ULONG: f[0] = 76 #"L" + * elif t == NPY_LONGLONG: f[0] = 113 #"q" + * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< + * elif t == NPY_FLOAT: f[0] = 102 #"f" + * elif t == NPY_DOUBLE: f[0] = 100 #"d" + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_ULONGLONG); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 891, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 891, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 891, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 81; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":892 + * elif t == NPY_LONGLONG: f[0] = 113 #"q" + * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" + * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< + * elif t == NPY_DOUBLE: f[0] = 100 #"d" + * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_FLOAT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 892, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 892, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 892, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x66; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":893 + * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" + * elif t == NPY_FLOAT: f[0] = 102 #"f" + * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< + * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" + * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_DOUBLE); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 893, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 893, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 893, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x64; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":894 + * elif t == NPY_FLOAT: f[0] = 102 #"f" + * elif t == NPY_DOUBLE: f[0] = 100 #"d" + * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< + * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf + * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_LONGDOUBLE); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 894, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 894, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 894, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x67; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":895 + * elif t == NPY_DOUBLE: f[0] = 100 #"d" + * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" + * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< + * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd + * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_CFLOAT); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 895, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 895, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 895, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 90; + (__pyx_v_f[1]) = 0x66; + __pyx_v_f = (__pyx_v_f + 1); + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":896 + * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" + * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf + * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< + * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg + * elif t == NPY_OBJECT: f[0] = 79 #"O" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_CDOUBLE); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 896, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 896, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 896, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 90; + (__pyx_v_f[1]) = 0x64; + __pyx_v_f = (__pyx_v_f + 1); + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":897 + * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf + * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd + * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< + * elif t == NPY_OBJECT: f[0] = 79 #"O" + * else: + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_CLONGDOUBLE); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 897, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 897, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 897, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 90; + (__pyx_v_f[1]) = 0x67; + __pyx_v_f = (__pyx_v_f + 1); + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":898 + * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd + * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg + * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< + * else: + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_OBJECT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 898, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 898, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 898, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (likely(__pyx_t_6)) { + (__pyx_v_f[0]) = 79; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":900 + * elif t == NPY_OBJECT: f[0] = 79 #"O" + * else: + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< + * f += 1 + * else: + */ + /*else*/ { + __pyx_t_3 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_v_t); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 900, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 900, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_Raise(__pyx_t_4, 0, 0, 0); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __PYX_ERR(1, 900, __pyx_L1_error) + } + __pyx_L15:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":901 + * else: + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) + * f += 1 # <<<<<<<<<<<<<< + * else: + * # Cython ignores struct boundary information ("T{...}"), + */ + __pyx_v_f = (__pyx_v_f + 1); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":876 + * offset[0] += child.itemsize + * + * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< + * t = child.type_num + * if end - f < 5: + */ + goto __pyx_L13; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":905 + * # Cython ignores struct boundary information ("T{...}"), + * # so don't output it + * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< + * return f + * + */ + /*else*/ { + __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_child, __pyx_v_f, __pyx_v_end, __pyx_v_offset); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 905, __pyx_L1_error) + __pyx_v_f = __pyx_t_9; + } + __pyx_L13:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":850 + * cdef tuple fields + * + * for childname in descr.names: # <<<<<<<<<<<<<< + * fields = descr.fields[childname] + * child, new_offset = fields + */ + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":906 + * # so don't output it + * f = _util_dtypestring(child, f, end, offset) + * return f # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = __pyx_v_f; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":841 + * return () + * + * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< + * # Recursive utility function used in __getbuffer__ to get format + * # string. The new location in the format string is returned. + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_AddTraceback("numpy._util_dtypestring", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_child); + __Pyx_XDECREF(__pyx_v_fields); + __Pyx_XDECREF(__pyx_v_childname); + __Pyx_XDECREF(__pyx_v_new_offset); + __Pyx_XDECREF(__pyx_v_t); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1021 + * int _import_umath() except -1 + * + * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< + * Py_INCREF(base) # important to do this before stealing the reference below! + * PyArray_SetBaseObject(arr, base) + */ + +static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_arr, PyObject *__pyx_v_base) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("set_array_base", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1022 + * + * cdef inline void set_array_base(ndarray arr, object base): + * Py_INCREF(base) # important to do this before stealing the reference below! # <<<<<<<<<<<<<< + * PyArray_SetBaseObject(arr, base) + * + */ + Py_INCREF(__pyx_v_base); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1023 + * cdef inline void set_array_base(ndarray arr, object base): + * Py_INCREF(base) # important to do this before stealing the reference below! + * PyArray_SetBaseObject(arr, base) # <<<<<<<<<<<<<< + * + * cdef inline object get_array_base(ndarray arr): + */ + (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base)); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1021 + * int _import_umath() except -1 + * + * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< + * Py_INCREF(base) # important to do this before stealing the reference below! + * PyArray_SetBaseObject(arr, base) + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1025 + * PyArray_SetBaseObject(arr, base) + * + * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< + * base = PyArray_BASE(arr) + * if base is NULL: + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__pyx_v_arr) { + PyObject *__pyx_v_base; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + __Pyx_RefNannySetupContext("get_array_base", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1026 + * + * cdef inline object get_array_base(ndarray arr): + * base = PyArray_BASE(arr) # <<<<<<<<<<<<<< + * if base is NULL: + * return None + */ + __pyx_v_base = PyArray_BASE(__pyx_v_arr); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + * cdef inline object get_array_base(ndarray arr): + * base = PyArray_BASE(arr) + * if base is NULL: # <<<<<<<<<<<<<< + * return None + * return base + */ + __pyx_t_1 = ((__pyx_v_base == NULL) != 0); + if (__pyx_t_1) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + * base = PyArray_BASE(arr) + * if base is NULL: + * return None # <<<<<<<<<<<<<< + * return base + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + * cdef inline object get_array_base(ndarray arr): + * base = PyArray_BASE(arr) + * if base is NULL: # <<<<<<<<<<<<<< + * return None + * return base + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1029 + * if base is NULL: + * return None + * return base # <<<<<<<<<<<<<< + * + * # Versions of the import_* functions which are more suitable for + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(((PyObject *)__pyx_v_base)); + __pyx_r = ((PyObject *)__pyx_v_base); + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1025 + * PyArray_SetBaseObject(arr, base) + * + * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< + * base = PyArray_BASE(arr) + * if base is NULL: + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1033 + * # Versions of the import_* functions which are more suitable for + * # Cython code. + * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< + * try: + * _import_array() + */ + +static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { + int __pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("import_array", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + * # Cython code. + * cdef inline int import_array() except -1: + * try: # <<<<<<<<<<<<<< + * _import_array() + * except Exception: + */ + { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3); + __Pyx_XGOTREF(__pyx_t_1); + __Pyx_XGOTREF(__pyx_t_2); + __Pyx_XGOTREF(__pyx_t_3); + /*try:*/ { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + * cdef inline int import_array() except -1: + * try: + * _import_array() # <<<<<<<<<<<<<< + * except Exception: + * raise ImportError("numpy.core.multiarray failed to import") + */ + __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1035, __pyx_L3_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + * # Cython code. + * cdef inline int import_array() except -1: + * try: # <<<<<<<<<<<<<< + * _import_array() + * except Exception: + */ + } + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + goto __pyx_L8_try_end; + __pyx_L3_error:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1036 + * try: + * _import_array() + * except Exception: # <<<<<<<<<<<<<< + * raise ImportError("numpy.core.multiarray failed to import") + * + */ + __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0]))); + if (__pyx_t_4) { + __Pyx_AddTraceback("numpy.import_array", __pyx_clineno, __pyx_lineno, __pyx_filename); + if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 1036, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GOTREF(__pyx_t_7); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + * _import_array() + * except Exception: + * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< + * + * cdef inline int import_umath() except -1: + */ + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__16, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1037, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_Raise(__pyx_t_8, 0, 0, 0); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __PYX_ERR(1, 1037, __pyx_L5_except_error) + } + goto __pyx_L5_except_error; + __pyx_L5_except_error:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + * # Cython code. + * cdef inline int import_array() except -1: + * try: # <<<<<<<<<<<<<< + * _import_array() + * except Exception: + */ + __Pyx_XGIVEREF(__pyx_t_1); + __Pyx_XGIVEREF(__pyx_t_2); + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3); + goto __pyx_L1_error; + __pyx_L8_try_end:; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1033 + * # Versions of the import_* functions which are more suitable for + * # Cython code. + * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< + * try: + * _import_array() + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("numpy.import_array", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1039 + * raise ImportError("numpy.core.multiarray failed to import") + * + * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< + * try: + * _import_umath() + */ + +static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { + int __pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("import_umath", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + * + * cdef inline int import_umath() except -1: + * try: # <<<<<<<<<<<<<< + * _import_umath() + * except Exception: + */ + { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3); + __Pyx_XGOTREF(__pyx_t_1); + __Pyx_XGOTREF(__pyx_t_2); + __Pyx_XGOTREF(__pyx_t_3); + /*try:*/ { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + * cdef inline int import_umath() except -1: + * try: + * _import_umath() # <<<<<<<<<<<<<< + * except Exception: + * raise ImportError("numpy.core.umath failed to import") + */ + __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1041, __pyx_L3_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + * + * cdef inline int import_umath() except -1: + * try: # <<<<<<<<<<<<<< + * _import_umath() + * except Exception: + */ + } + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + goto __pyx_L8_try_end; + __pyx_L3_error:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1042 + * try: + * _import_umath() + * except Exception: # <<<<<<<<<<<<<< + * raise ImportError("numpy.core.umath failed to import") + * + */ + __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0]))); + if (__pyx_t_4) { + __Pyx_AddTraceback("numpy.import_umath", __pyx_clineno, __pyx_lineno, __pyx_filename); + if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 1042, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GOTREF(__pyx_t_7); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1043 + * _import_umath() + * except Exception: + * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< + * + * cdef inline int import_ufunc() except -1: + */ + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__17, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1043, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_Raise(__pyx_t_8, 0, 0, 0); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __PYX_ERR(1, 1043, __pyx_L5_except_error) + } + goto __pyx_L5_except_error; + __pyx_L5_except_error:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + * + * cdef inline int import_umath() except -1: + * try: # <<<<<<<<<<<<<< + * _import_umath() + * except Exception: + */ + __Pyx_XGIVEREF(__pyx_t_1); + __Pyx_XGIVEREF(__pyx_t_2); + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3); + goto __pyx_L1_error; + __pyx_L8_try_end:; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1039 + * raise ImportError("numpy.core.multiarray failed to import") + * + * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< + * try: + * _import_umath() + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("numpy.import_umath", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1045 + * raise ImportError("numpy.core.umath failed to import") + * + * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< + * try: + * _import_umath() + */ + +static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { + int __pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("import_ufunc", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + * + * cdef inline int import_ufunc() except -1: + * try: # <<<<<<<<<<<<<< + * _import_umath() + * except Exception: + */ + { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3); + __Pyx_XGOTREF(__pyx_t_1); + __Pyx_XGOTREF(__pyx_t_2); + __Pyx_XGOTREF(__pyx_t_3); + /*try:*/ { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1047 + * cdef inline int import_ufunc() except -1: + * try: + * _import_umath() # <<<<<<<<<<<<<< + * except Exception: + * raise ImportError("numpy.core.umath failed to import") + */ + __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1047, __pyx_L3_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + * + * cdef inline int import_ufunc() except -1: + * try: # <<<<<<<<<<<<<< + * _import_umath() + * except Exception: + */ + } + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + goto __pyx_L8_try_end; + __pyx_L3_error:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1048 + * try: + * _import_umath() + * except Exception: # <<<<<<<<<<<<<< + * raise ImportError("numpy.core.umath failed to import") + */ + __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0]))); + if (__pyx_t_4) { + __Pyx_AddTraceback("numpy.import_ufunc", __pyx_clineno, __pyx_lineno, __pyx_filename); + if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 1048, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GOTREF(__pyx_t_7); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1049 + * _import_umath() + * except Exception: + * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< + */ + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__17, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1049, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_Raise(__pyx_t_8, 0, 0, 0); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __PYX_ERR(1, 1049, __pyx_L5_except_error) + } + goto __pyx_L5_except_error; + __pyx_L5_except_error:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + * + * cdef inline int import_ufunc() except -1: + * try: # <<<<<<<<<<<<<< + * _import_umath() + * except Exception: + */ + __Pyx_XGIVEREF(__pyx_t_1); + __Pyx_XGIVEREF(__pyx_t_2); + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3); + goto __pyx_L1_error; + __pyx_L8_try_end:; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1045 + * raise ImportError("numpy.core.umath failed to import") + * + * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< + * try: + * _import_umath() + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("numpy.import_ufunc", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":122 + * cdef bint dtype_is_object + * + * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< + * mode="c", bint allocate_buffer=True): + * + */ + +/* Python wrapper */ +static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_shape = 0; + Py_ssize_t __pyx_v_itemsize; + PyObject *__pyx_v_format = 0; + PyObject *__pyx_v_mode = 0; + int __pyx_v_allocate_buffer; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_shape,&__pyx_n_s_itemsize,&__pyx_n_s_format,&__pyx_n_s_mode,&__pyx_n_s_allocate_buffer,0}; + PyObject* values[5] = {0,0,0,0,0}; + values[3] = ((PyObject *)__pyx_n_s_c); + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_shape)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_itemsize)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, 1); __PYX_ERR(2, 122, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_format)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, 2); __PYX_ERR(2, 122, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_mode); + if (value) { values[3] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 4: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_allocate_buffer); + if (value) { values[4] = value; kw_args--; } + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) __PYX_ERR(2, 122, __pyx_L3_error) + } + } else { + switch (PyTuple_GET_SIZE(__pyx_args)) { + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + break; + default: goto __pyx_L5_argtuple_error; + } + } + __pyx_v_shape = ((PyObject*)values[0]); + __pyx_v_itemsize = __Pyx_PyIndex_AsSsize_t(values[1]); if (unlikely((__pyx_v_itemsize == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 122, __pyx_L3_error) + __pyx_v_format = values[2]; + __pyx_v_mode = values[3]; + if (values[4]) { + __pyx_v_allocate_buffer = __Pyx_PyObject_IsTrue(values[4]); if (unlikely((__pyx_v_allocate_buffer == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 123, __pyx_L3_error) + } else { + + /* "View.MemoryView":123 + * + * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, + * mode="c", bint allocate_buffer=True): # <<<<<<<<<<<<<< + * + * cdef int idx + */ + __pyx_v_allocate_buffer = ((int)1); + } + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(2, 122, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("View.MemoryView.array.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return -1; + __pyx_L4_argument_unpacking_done:; + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_shape), (&PyTuple_Type), 1, "shape", 1))) __PYX_ERR(2, 122, __pyx_L1_error) + if (unlikely(((PyObject *)__pyx_v_format) == Py_None)) { + PyErr_Format(PyExc_TypeError, "Argument '%.200s' must not be None", "format"); __PYX_ERR(2, 122, __pyx_L1_error) + } + __pyx_r = __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(((struct __pyx_array_obj *)__pyx_v_self), __pyx_v_shape, __pyx_v_itemsize, __pyx_v_format, __pyx_v_mode, __pyx_v_allocate_buffer); + + /* "View.MemoryView":122 + * cdef bint dtype_is_object + * + * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< + * mode="c", bint allocate_buffer=True): + * + */ + + /* function exit code */ + goto __pyx_L0; + __pyx_L1_error:; + __pyx_r = -1; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer) { + int __pyx_v_idx; + Py_ssize_t __pyx_v_i; + Py_ssize_t __pyx_v_dim; + PyObject **__pyx_v_p; + char __pyx_v_order; + int __pyx_r; + __Pyx_RefNannyDeclarations + Py_ssize_t __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + char *__pyx_t_7; + int __pyx_t_8; + Py_ssize_t __pyx_t_9; + PyObject *__pyx_t_10 = NULL; + Py_ssize_t __pyx_t_11; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__cinit__", 0); + __Pyx_INCREF(__pyx_v_format); + + /* "View.MemoryView":129 + * cdef PyObject **p + * + * self.ndim = len(shape) # <<<<<<<<<<<<<< + * self.itemsize = itemsize + * + */ + if (unlikely(__pyx_v_shape == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(2, 129, __pyx_L1_error) + } + __pyx_t_1 = PyTuple_GET_SIZE(__pyx_v_shape); if (unlikely(__pyx_t_1 == ((Py_ssize_t)-1))) __PYX_ERR(2, 129, __pyx_L1_error) + __pyx_v_self->ndim = ((int)__pyx_t_1); + + /* "View.MemoryView":130 + * + * self.ndim = len(shape) + * self.itemsize = itemsize # <<<<<<<<<<<<<< + * + * if not self.ndim: + */ + __pyx_v_self->itemsize = __pyx_v_itemsize; + + /* "View.MemoryView":132 + * self.itemsize = itemsize + * + * if not self.ndim: # <<<<<<<<<<<<<< + * raise ValueError("Empty shape tuple for cython.array") + * + */ + __pyx_t_2 = ((!(__pyx_v_self->ndim != 0)) != 0); + if (unlikely(__pyx_t_2)) { + + /* "View.MemoryView":133 + * + * if not self.ndim: + * raise ValueError("Empty shape tuple for cython.array") # <<<<<<<<<<<<<< + * + * if itemsize <= 0: + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__18, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 133, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 133, __pyx_L1_error) + + /* "View.MemoryView":132 + * self.itemsize = itemsize + * + * if not self.ndim: # <<<<<<<<<<<<<< + * raise ValueError("Empty shape tuple for cython.array") + * + */ + } + + /* "View.MemoryView":135 + * raise ValueError("Empty shape tuple for cython.array") + * + * if itemsize <= 0: # <<<<<<<<<<<<<< + * raise ValueError("itemsize <= 0 for cython.array") + * + */ + __pyx_t_2 = ((__pyx_v_itemsize <= 0) != 0); + if (unlikely(__pyx_t_2)) { + + /* "View.MemoryView":136 + * + * if itemsize <= 0: + * raise ValueError("itemsize <= 0 for cython.array") # <<<<<<<<<<<<<< + * + * if not isinstance(format, bytes): + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__19, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 136, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 136, __pyx_L1_error) + + /* "View.MemoryView":135 + * raise ValueError("Empty shape tuple for cython.array") + * + * if itemsize <= 0: # <<<<<<<<<<<<<< + * raise ValueError("itemsize <= 0 for cython.array") + * + */ + } + + /* "View.MemoryView":138 + * raise ValueError("itemsize <= 0 for cython.array") + * + * if not isinstance(format, bytes): # <<<<<<<<<<<<<< + * format = format.encode('ASCII') + * self._format = format # keep a reference to the byte string + */ + __pyx_t_2 = PyBytes_Check(__pyx_v_format); + __pyx_t_4 = ((!(__pyx_t_2 != 0)) != 0); + if (__pyx_t_4) { + + /* "View.MemoryView":139 + * + * if not isinstance(format, bytes): + * format = format.encode('ASCII') # <<<<<<<<<<<<<< + * self._format = format # keep a reference to the byte string + * self.format = self._format + */ + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_format, __pyx_n_s_encode); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 139, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + } + } + __pyx_t_3 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_6, __pyx_n_s_ASCII) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_n_s_ASCII); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 139, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF_SET(__pyx_v_format, __pyx_t_3); + __pyx_t_3 = 0; + + /* "View.MemoryView":138 + * raise ValueError("itemsize <= 0 for cython.array") + * + * if not isinstance(format, bytes): # <<<<<<<<<<<<<< + * format = format.encode('ASCII') + * self._format = format # keep a reference to the byte string + */ + } + + /* "View.MemoryView":140 + * if not isinstance(format, bytes): + * format = format.encode('ASCII') + * self._format = format # keep a reference to the byte string # <<<<<<<<<<<<<< + * self.format = self._format + * + */ + if (!(likely(PyBytes_CheckExact(__pyx_v_format))||((__pyx_v_format) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "bytes", Py_TYPE(__pyx_v_format)->tp_name), 0))) __PYX_ERR(2, 140, __pyx_L1_error) + __pyx_t_3 = __pyx_v_format; + __Pyx_INCREF(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + __Pyx_GOTREF(__pyx_v_self->_format); + __Pyx_DECREF(__pyx_v_self->_format); + __pyx_v_self->_format = ((PyObject*)__pyx_t_3); + __pyx_t_3 = 0; + + /* "View.MemoryView":141 + * format = format.encode('ASCII') + * self._format = format # keep a reference to the byte string + * self.format = self._format # <<<<<<<<<<<<<< + * + * + */ + if (unlikely(__pyx_v_self->_format == Py_None)) { + PyErr_SetString(PyExc_TypeError, "expected bytes, NoneType found"); + __PYX_ERR(2, 141, __pyx_L1_error) + } + __pyx_t_7 = __Pyx_PyBytes_AsWritableString(__pyx_v_self->_format); if (unlikely((!__pyx_t_7) && PyErr_Occurred())) __PYX_ERR(2, 141, __pyx_L1_error) + __pyx_v_self->format = __pyx_t_7; + + /* "View.MemoryView":144 + * + * + * self._shape = PyObject_Malloc(sizeof(Py_ssize_t)*self.ndim*2) # <<<<<<<<<<<<<< + * self._strides = self._shape + self.ndim + * + */ + __pyx_v_self->_shape = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * __pyx_v_self->ndim) * 2))); + + /* "View.MemoryView":145 + * + * self._shape = PyObject_Malloc(sizeof(Py_ssize_t)*self.ndim*2) + * self._strides = self._shape + self.ndim # <<<<<<<<<<<<<< + * + * if not self._shape: + */ + __pyx_v_self->_strides = (__pyx_v_self->_shape + __pyx_v_self->ndim); + + /* "View.MemoryView":147 + * self._strides = self._shape + self.ndim + * + * if not self._shape: # <<<<<<<<<<<<<< + * raise MemoryError("unable to allocate shape and strides.") + * + */ + __pyx_t_4 = ((!(__pyx_v_self->_shape != 0)) != 0); + if (unlikely(__pyx_t_4)) { + + /* "View.MemoryView":148 + * + * if not self._shape: + * raise MemoryError("unable to allocate shape and strides.") # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_MemoryError, __pyx_tuple__20, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 148, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 148, __pyx_L1_error) + + /* "View.MemoryView":147 + * self._strides = self._shape + self.ndim + * + * if not self._shape: # <<<<<<<<<<<<<< + * raise MemoryError("unable to allocate shape and strides.") + * + */ + } + + /* "View.MemoryView":151 + * + * + * for idx, dim in enumerate(shape): # <<<<<<<<<<<<<< + * if dim <= 0: + * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) + */ + __pyx_t_8 = 0; + __pyx_t_3 = __pyx_v_shape; __Pyx_INCREF(__pyx_t_3); __pyx_t_1 = 0; + for (;;) { + if (__pyx_t_1 >= PyTuple_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_1); __Pyx_INCREF(__pyx_t_5); __pyx_t_1++; if (unlikely(0 < 0)) __PYX_ERR(2, 151, __pyx_L1_error) + #else + __pyx_t_5 = PySequence_ITEM(__pyx_t_3, __pyx_t_1); __pyx_t_1++; if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 151, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + #endif + __pyx_t_9 = __Pyx_PyIndex_AsSsize_t(__pyx_t_5); if (unlikely((__pyx_t_9 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 151, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_v_dim = __pyx_t_9; + __pyx_v_idx = __pyx_t_8; + __pyx_t_8 = (__pyx_t_8 + 1); + + /* "View.MemoryView":152 + * + * for idx, dim in enumerate(shape): + * if dim <= 0: # <<<<<<<<<<<<<< + * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) + * self._shape[idx] = dim + */ + __pyx_t_4 = ((__pyx_v_dim <= 0) != 0); + if (unlikely(__pyx_t_4)) { + + /* "View.MemoryView":153 + * for idx, dim in enumerate(shape): + * if dim <= 0: + * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) # <<<<<<<<<<<<<< + * self._shape[idx] = dim + * + */ + __pyx_t_5 = __Pyx_PyInt_From_int(__pyx_v_idx); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 153, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_6 = PyInt_FromSsize_t(__pyx_v_dim); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 153, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_10 = PyTuple_New(2); if (unlikely(!__pyx_t_10)) __PYX_ERR(2, 153, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_5); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_10, 1, __pyx_t_6); + __pyx_t_5 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyString_Format(__pyx_kp_s_Invalid_shape_in_axis_d_d, __pyx_t_10); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 153, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_6); if (unlikely(!__pyx_t_10)) __PYX_ERR(2, 153, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_Raise(__pyx_t_10, 0, 0, 0); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __PYX_ERR(2, 153, __pyx_L1_error) + + /* "View.MemoryView":152 + * + * for idx, dim in enumerate(shape): + * if dim <= 0: # <<<<<<<<<<<<<< + * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) + * self._shape[idx] = dim + */ + } + + /* "View.MemoryView":154 + * if dim <= 0: + * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) + * self._shape[idx] = dim # <<<<<<<<<<<<<< + * + * cdef char order + */ + (__pyx_v_self->_shape[__pyx_v_idx]) = __pyx_v_dim; + + /* "View.MemoryView":151 + * + * + * for idx, dim in enumerate(shape): # <<<<<<<<<<<<<< + * if dim <= 0: + * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) + */ + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "View.MemoryView":157 + * + * cdef char order + * if mode == 'fortran': # <<<<<<<<<<<<<< + * order = b'F' + * self.mode = u'fortran' + */ + __pyx_t_4 = (__Pyx_PyString_Equals(__pyx_v_mode, __pyx_n_s_fortran, Py_EQ)); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(2, 157, __pyx_L1_error) + if (__pyx_t_4) { + + /* "View.MemoryView":158 + * cdef char order + * if mode == 'fortran': + * order = b'F' # <<<<<<<<<<<<<< + * self.mode = u'fortran' + * elif mode == 'c': + */ + __pyx_v_order = 'F'; + + /* "View.MemoryView":159 + * if mode == 'fortran': + * order = b'F' + * self.mode = u'fortran' # <<<<<<<<<<<<<< + * elif mode == 'c': + * order = b'C' + */ + __Pyx_INCREF(__pyx_n_u_fortran); + __Pyx_GIVEREF(__pyx_n_u_fortran); + __Pyx_GOTREF(__pyx_v_self->mode); + __Pyx_DECREF(__pyx_v_self->mode); + __pyx_v_self->mode = __pyx_n_u_fortran; + + /* "View.MemoryView":157 + * + * cdef char order + * if mode == 'fortran': # <<<<<<<<<<<<<< + * order = b'F' + * self.mode = u'fortran' + */ + goto __pyx_L10; + } + + /* "View.MemoryView":160 + * order = b'F' + * self.mode = u'fortran' + * elif mode == 'c': # <<<<<<<<<<<<<< + * order = b'C' + * self.mode = u'c' + */ + __pyx_t_4 = (__Pyx_PyString_Equals(__pyx_v_mode, __pyx_n_s_c, Py_EQ)); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(2, 160, __pyx_L1_error) + if (likely(__pyx_t_4)) { + + /* "View.MemoryView":161 + * self.mode = u'fortran' + * elif mode == 'c': + * order = b'C' # <<<<<<<<<<<<<< + * self.mode = u'c' + * else: + */ + __pyx_v_order = 'C'; + + /* "View.MemoryView":162 + * elif mode == 'c': + * order = b'C' + * self.mode = u'c' # <<<<<<<<<<<<<< + * else: + * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) + */ + __Pyx_INCREF(__pyx_n_u_c); + __Pyx_GIVEREF(__pyx_n_u_c); + __Pyx_GOTREF(__pyx_v_self->mode); + __Pyx_DECREF(__pyx_v_self->mode); + __pyx_v_self->mode = __pyx_n_u_c; + + /* "View.MemoryView":160 + * order = b'F' + * self.mode = u'fortran' + * elif mode == 'c': # <<<<<<<<<<<<<< + * order = b'C' + * self.mode = u'c' + */ + goto __pyx_L10; + } + + /* "View.MemoryView":164 + * self.mode = u'c' + * else: + * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) # <<<<<<<<<<<<<< + * + * self.len = fill_contig_strides_array(self._shape, self._strides, + */ + /*else*/ { + __pyx_t_3 = __Pyx_PyString_FormatSafe(__pyx_kp_s_Invalid_mode_expected_c_or_fortr, __pyx_v_mode); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 164, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_10 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_10)) __PYX_ERR(2, 164, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_Raise(__pyx_t_10, 0, 0, 0); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __PYX_ERR(2, 164, __pyx_L1_error) + } + __pyx_L10:; + + /* "View.MemoryView":166 + * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) + * + * self.len = fill_contig_strides_array(self._shape, self._strides, # <<<<<<<<<<<<<< + * itemsize, self.ndim, order) + * + */ + __pyx_v_self->len = __pyx_fill_contig_strides_array(__pyx_v_self->_shape, __pyx_v_self->_strides, __pyx_v_itemsize, __pyx_v_self->ndim, __pyx_v_order); + + /* "View.MemoryView":169 + * itemsize, self.ndim, order) + * + * self.free_data = allocate_buffer # <<<<<<<<<<<<<< + * self.dtype_is_object = format == b'O' + * if allocate_buffer: + */ + __pyx_v_self->free_data = __pyx_v_allocate_buffer; + + /* "View.MemoryView":170 + * + * self.free_data = allocate_buffer + * self.dtype_is_object = format == b'O' # <<<<<<<<<<<<<< + * if allocate_buffer: + * + */ + __pyx_t_10 = PyObject_RichCompare(__pyx_v_format, __pyx_n_b_O, Py_EQ); __Pyx_XGOTREF(__pyx_t_10); if (unlikely(!__pyx_t_10)) __PYX_ERR(2, 170, __pyx_L1_error) + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_10); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 170, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_v_self->dtype_is_object = __pyx_t_4; + + /* "View.MemoryView":171 + * self.free_data = allocate_buffer + * self.dtype_is_object = format == b'O' + * if allocate_buffer: # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_4 = (__pyx_v_allocate_buffer != 0); + if (__pyx_t_4) { + + /* "View.MemoryView":174 + * + * + * self.data = malloc(self.len) # <<<<<<<<<<<<<< + * if not self.data: + * raise MemoryError("unable to allocate array data.") + */ + __pyx_v_self->data = ((char *)malloc(__pyx_v_self->len)); + + /* "View.MemoryView":175 + * + * self.data = malloc(self.len) + * if not self.data: # <<<<<<<<<<<<<< + * raise MemoryError("unable to allocate array data.") + * + */ + __pyx_t_4 = ((!(__pyx_v_self->data != 0)) != 0); + if (unlikely(__pyx_t_4)) { + + /* "View.MemoryView":176 + * self.data = malloc(self.len) + * if not self.data: + * raise MemoryError("unable to allocate array data.") # <<<<<<<<<<<<<< + * + * if self.dtype_is_object: + */ + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_builtin_MemoryError, __pyx_tuple__21, NULL); if (unlikely(!__pyx_t_10)) __PYX_ERR(2, 176, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_Raise(__pyx_t_10, 0, 0, 0); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __PYX_ERR(2, 176, __pyx_L1_error) + + /* "View.MemoryView":175 + * + * self.data = malloc(self.len) + * if not self.data: # <<<<<<<<<<<<<< + * raise MemoryError("unable to allocate array data.") + * + */ + } + + /* "View.MemoryView":178 + * raise MemoryError("unable to allocate array data.") + * + * if self.dtype_is_object: # <<<<<<<<<<<<<< + * p = self.data + * for i in range(self.len / itemsize): + */ + __pyx_t_4 = (__pyx_v_self->dtype_is_object != 0); + if (__pyx_t_4) { + + /* "View.MemoryView":179 + * + * if self.dtype_is_object: + * p = self.data # <<<<<<<<<<<<<< + * for i in range(self.len / itemsize): + * p[i] = Py_None + */ + __pyx_v_p = ((PyObject **)__pyx_v_self->data); + + /* "View.MemoryView":180 + * if self.dtype_is_object: + * p = self.data + * for i in range(self.len / itemsize): # <<<<<<<<<<<<<< + * p[i] = Py_None + * Py_INCREF(Py_None) + */ + if (unlikely(__pyx_v_itemsize == 0)) { + PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero"); + __PYX_ERR(2, 180, __pyx_L1_error) + } + else if (sizeof(Py_ssize_t) == sizeof(long) && (!(((Py_ssize_t)-1) > 0)) && unlikely(__pyx_v_itemsize == (Py_ssize_t)-1) && unlikely(UNARY_NEG_WOULD_OVERFLOW(__pyx_v_self->len))) { + PyErr_SetString(PyExc_OverflowError, "value too large to perform division"); + __PYX_ERR(2, 180, __pyx_L1_error) + } + __pyx_t_1 = __Pyx_div_Py_ssize_t(__pyx_v_self->len, __pyx_v_itemsize); + __pyx_t_9 = __pyx_t_1; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_9; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "View.MemoryView":181 + * p = self.data + * for i in range(self.len / itemsize): + * p[i] = Py_None # <<<<<<<<<<<<<< + * Py_INCREF(Py_None) + * + */ + (__pyx_v_p[__pyx_v_i]) = Py_None; + + /* "View.MemoryView":182 + * for i in range(self.len / itemsize): + * p[i] = Py_None + * Py_INCREF(Py_None) # <<<<<<<<<<<<<< + * + * @cname('getbuffer') + */ + Py_INCREF(Py_None); + } + + /* "View.MemoryView":178 + * raise MemoryError("unable to allocate array data.") + * + * if self.dtype_is_object: # <<<<<<<<<<<<<< + * p = self.data + * for i in range(self.len / itemsize): + */ + } + + /* "View.MemoryView":171 + * self.free_data = allocate_buffer + * self.dtype_is_object = format == b'O' + * if allocate_buffer: # <<<<<<<<<<<<<< + * + * + */ + } + + /* "View.MemoryView":122 + * cdef bint dtype_is_object + * + * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< + * mode="c", bint allocate_buffer=True): + * + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_10); + __Pyx_AddTraceback("View.MemoryView.array.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_format); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":185 + * + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< + * cdef int bufmode = -1 + * if self.mode == u"c": + */ + +/* Python wrapper */ +static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); + __pyx_r = __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(((struct __pyx_array_obj *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { + int __pyx_v_bufmode; + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + char *__pyx_t_4; + Py_ssize_t __pyx_t_5; + int __pyx_t_6; + Py_ssize_t *__pyx_t_7; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + if (__pyx_v_info == NULL) { + PyErr_SetString(PyExc_BufferError, "PyObject_GetBuffer: view==NULL argument is obsolete"); + return -1; + } + __Pyx_RefNannySetupContext("__getbuffer__", 0); + __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(__pyx_v_info->obj); + + /* "View.MemoryView":186 + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): + * cdef int bufmode = -1 # <<<<<<<<<<<<<< + * if self.mode == u"c": + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + */ + __pyx_v_bufmode = -1; + + /* "View.MemoryView":187 + * def __getbuffer__(self, Py_buffer *info, int flags): + * cdef int bufmode = -1 + * if self.mode == u"c": # <<<<<<<<<<<<<< + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * elif self.mode == u"fortran": + */ + __pyx_t_1 = (__Pyx_PyUnicode_Equals(__pyx_v_self->mode, __pyx_n_u_c, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(2, 187, __pyx_L1_error) + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":188 + * cdef int bufmode = -1 + * if self.mode == u"c": + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS # <<<<<<<<<<<<<< + * elif self.mode == u"fortran": + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + */ + __pyx_v_bufmode = (PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS); + + /* "View.MemoryView":187 + * def __getbuffer__(self, Py_buffer *info, int flags): + * cdef int bufmode = -1 + * if self.mode == u"c": # <<<<<<<<<<<<<< + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * elif self.mode == u"fortran": + */ + goto __pyx_L3; + } + + /* "View.MemoryView":189 + * if self.mode == u"c": + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * elif self.mode == u"fortran": # <<<<<<<<<<<<<< + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * if not (flags & bufmode): + */ + __pyx_t_2 = (__Pyx_PyUnicode_Equals(__pyx_v_self->mode, __pyx_n_u_fortran, Py_EQ)); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(2, 189, __pyx_L1_error) + __pyx_t_1 = (__pyx_t_2 != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":190 + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * elif self.mode == u"fortran": + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS # <<<<<<<<<<<<<< + * if not (flags & bufmode): + * raise ValueError("Can only create a buffer that is contiguous in memory.") + */ + __pyx_v_bufmode = (PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS); + + /* "View.MemoryView":189 + * if self.mode == u"c": + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * elif self.mode == u"fortran": # <<<<<<<<<<<<<< + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * if not (flags & bufmode): + */ + } + __pyx_L3:; + + /* "View.MemoryView":191 + * elif self.mode == u"fortran": + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * if not (flags & bufmode): # <<<<<<<<<<<<<< + * raise ValueError("Can only create a buffer that is contiguous in memory.") + * info.buf = self.data + */ + __pyx_t_1 = ((!((__pyx_v_flags & __pyx_v_bufmode) != 0)) != 0); + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":192 + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * if not (flags & bufmode): + * raise ValueError("Can only create a buffer that is contiguous in memory.") # <<<<<<<<<<<<<< + * info.buf = self.data + * info.len = self.len + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__22, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 192, __pyx_L1_error) + + /* "View.MemoryView":191 + * elif self.mode == u"fortran": + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * if not (flags & bufmode): # <<<<<<<<<<<<<< + * raise ValueError("Can only create a buffer that is contiguous in memory.") + * info.buf = self.data + */ + } + + /* "View.MemoryView":193 + * if not (flags & bufmode): + * raise ValueError("Can only create a buffer that is contiguous in memory.") + * info.buf = self.data # <<<<<<<<<<<<<< + * info.len = self.len + * info.ndim = self.ndim + */ + __pyx_t_4 = __pyx_v_self->data; + __pyx_v_info->buf = __pyx_t_4; + + /* "View.MemoryView":194 + * raise ValueError("Can only create a buffer that is contiguous in memory.") + * info.buf = self.data + * info.len = self.len # <<<<<<<<<<<<<< + * info.ndim = self.ndim + * info.shape = self._shape + */ + __pyx_t_5 = __pyx_v_self->len; + __pyx_v_info->len = __pyx_t_5; + + /* "View.MemoryView":195 + * info.buf = self.data + * info.len = self.len + * info.ndim = self.ndim # <<<<<<<<<<<<<< + * info.shape = self._shape + * info.strides = self._strides + */ + __pyx_t_6 = __pyx_v_self->ndim; + __pyx_v_info->ndim = __pyx_t_6; + + /* "View.MemoryView":196 + * info.len = self.len + * info.ndim = self.ndim + * info.shape = self._shape # <<<<<<<<<<<<<< + * info.strides = self._strides + * info.suboffsets = NULL + */ + __pyx_t_7 = __pyx_v_self->_shape; + __pyx_v_info->shape = __pyx_t_7; + + /* "View.MemoryView":197 + * info.ndim = self.ndim + * info.shape = self._shape + * info.strides = self._strides # <<<<<<<<<<<<<< + * info.suboffsets = NULL + * info.itemsize = self.itemsize + */ + __pyx_t_7 = __pyx_v_self->_strides; + __pyx_v_info->strides = __pyx_t_7; + + /* "View.MemoryView":198 + * info.shape = self._shape + * info.strides = self._strides + * info.suboffsets = NULL # <<<<<<<<<<<<<< + * info.itemsize = self.itemsize + * info.readonly = 0 + */ + __pyx_v_info->suboffsets = NULL; + + /* "View.MemoryView":199 + * info.strides = self._strides + * info.suboffsets = NULL + * info.itemsize = self.itemsize # <<<<<<<<<<<<<< + * info.readonly = 0 + * + */ + __pyx_t_5 = __pyx_v_self->itemsize; + __pyx_v_info->itemsize = __pyx_t_5; + + /* "View.MemoryView":200 + * info.suboffsets = NULL + * info.itemsize = self.itemsize + * info.readonly = 0 # <<<<<<<<<<<<<< + * + * if flags & PyBUF_FORMAT: + */ + __pyx_v_info->readonly = 0; + + /* "View.MemoryView":202 + * info.readonly = 0 + * + * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< + * info.format = self.format + * else: + */ + __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":203 + * + * if flags & PyBUF_FORMAT: + * info.format = self.format # <<<<<<<<<<<<<< + * else: + * info.format = NULL + */ + __pyx_t_4 = __pyx_v_self->format; + __pyx_v_info->format = __pyx_t_4; + + /* "View.MemoryView":202 + * info.readonly = 0 + * + * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< + * info.format = self.format + * else: + */ + goto __pyx_L5; + } + + /* "View.MemoryView":205 + * info.format = self.format + * else: + * info.format = NULL # <<<<<<<<<<<<<< + * + * info.obj = self + */ + /*else*/ { + __pyx_v_info->format = NULL; + } + __pyx_L5:; + + /* "View.MemoryView":207 + * info.format = NULL + * + * info.obj = self # <<<<<<<<<<<<<< + * + * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") + */ + __Pyx_INCREF(((PyObject *)__pyx_v_self)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); + __pyx_v_info->obj = ((PyObject *)__pyx_v_self); + + /* "View.MemoryView":185 + * + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< + * cdef int bufmode = -1 + * if self.mode == u"c": + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.array.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + if (__pyx_v_info->obj != NULL) { + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0; + } + goto __pyx_L2; + __pyx_L0:; + if (__pyx_v_info->obj == Py_None) { + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0; + } + __pyx_L2:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":211 + * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") + * + * def __dealloc__(array self): # <<<<<<<<<<<<<< + * if self.callback_free_data != NULL: + * self.callback_free_data(self.data) + */ + +/* Python wrapper */ +static void __pyx_array___dealloc__(PyObject *__pyx_v_self); /*proto*/ +static void __pyx_array___dealloc__(PyObject *__pyx_v_self) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); + __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(((struct __pyx_array_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self) { + __Pyx_RefNannyDeclarations + int __pyx_t_1; + __Pyx_RefNannySetupContext("__dealloc__", 0); + + /* "View.MemoryView":212 + * + * def __dealloc__(array self): + * if self.callback_free_data != NULL: # <<<<<<<<<<<<<< + * self.callback_free_data(self.data) + * elif self.free_data: + */ + __pyx_t_1 = ((__pyx_v_self->callback_free_data != NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":213 + * def __dealloc__(array self): + * if self.callback_free_data != NULL: + * self.callback_free_data(self.data) # <<<<<<<<<<<<<< + * elif self.free_data: + * if self.dtype_is_object: + */ + __pyx_v_self->callback_free_data(__pyx_v_self->data); + + /* "View.MemoryView":212 + * + * def __dealloc__(array self): + * if self.callback_free_data != NULL: # <<<<<<<<<<<<<< + * self.callback_free_data(self.data) + * elif self.free_data: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":214 + * if self.callback_free_data != NULL: + * self.callback_free_data(self.data) + * elif self.free_data: # <<<<<<<<<<<<<< + * if self.dtype_is_object: + * refcount_objects_in_slice(self.data, self._shape, + */ + __pyx_t_1 = (__pyx_v_self->free_data != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":215 + * self.callback_free_data(self.data) + * elif self.free_data: + * if self.dtype_is_object: # <<<<<<<<<<<<<< + * refcount_objects_in_slice(self.data, self._shape, + * self._strides, self.ndim, False) + */ + __pyx_t_1 = (__pyx_v_self->dtype_is_object != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":216 + * elif self.free_data: + * if self.dtype_is_object: + * refcount_objects_in_slice(self.data, self._shape, # <<<<<<<<<<<<<< + * self._strides, self.ndim, False) + * free(self.data) + */ + __pyx_memoryview_refcount_objects_in_slice(__pyx_v_self->data, __pyx_v_self->_shape, __pyx_v_self->_strides, __pyx_v_self->ndim, 0); + + /* "View.MemoryView":215 + * self.callback_free_data(self.data) + * elif self.free_data: + * if self.dtype_is_object: # <<<<<<<<<<<<<< + * refcount_objects_in_slice(self.data, self._shape, + * self._strides, self.ndim, False) + */ + } + + /* "View.MemoryView":218 + * refcount_objects_in_slice(self.data, self._shape, + * self._strides, self.ndim, False) + * free(self.data) # <<<<<<<<<<<<<< + * PyObject_Free(self._shape) + * + */ + free(__pyx_v_self->data); + + /* "View.MemoryView":214 + * if self.callback_free_data != NULL: + * self.callback_free_data(self.data) + * elif self.free_data: # <<<<<<<<<<<<<< + * if self.dtype_is_object: + * refcount_objects_in_slice(self.data, self._shape, + */ + } + __pyx_L3:; + + /* "View.MemoryView":219 + * self._strides, self.ndim, False) + * free(self.data) + * PyObject_Free(self._shape) # <<<<<<<<<<<<<< + * + * @property + */ + PyObject_Free(__pyx_v_self->_shape); + + /* "View.MemoryView":211 + * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") + * + * def __dealloc__(array self): # <<<<<<<<<<<<<< + * if self.callback_free_data != NULL: + * self.callback_free_data(self.data) + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "View.MemoryView":222 + * + * @property + * def memview(self): # <<<<<<<<<<<<<< + * return self.get_memview() + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_5array_7memview___get__(((struct __pyx_array_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":223 + * @property + * def memview(self): + * return self.get_memview() # <<<<<<<<<<<<<< + * + * @cname('get_memview') + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = ((struct __pyx_vtabstruct_array *)__pyx_v_self->__pyx_vtab)->get_memview(__pyx_v_self); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 223, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "View.MemoryView":222 + * + * @property + * def memview(self): # <<<<<<<<<<<<<< + * return self.get_memview() + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.array.memview.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":226 + * + * @cname('get_memview') + * cdef get_memview(self): # <<<<<<<<<<<<<< + * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE + * return memoryview(self, flags, self.dtype_is_object) + */ + +static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self) { + int __pyx_v_flags; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("get_memview", 0); + + /* "View.MemoryView":227 + * @cname('get_memview') + * cdef get_memview(self): + * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE # <<<<<<<<<<<<<< + * return memoryview(self, flags, self.dtype_is_object) + * + */ + __pyx_v_flags = ((PyBUF_ANY_CONTIGUOUS | PyBUF_FORMAT) | PyBUF_WRITABLE); + + /* "View.MemoryView":228 + * cdef get_memview(self): + * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE + * return memoryview(self, flags, self.dtype_is_object) # <<<<<<<<<<<<<< + * + * def __len__(self): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_flags); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_self->dtype_is_object); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(((PyObject *)__pyx_v_self)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); + PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_self)); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryview_type), __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":226 + * + * @cname('get_memview') + * cdef get_memview(self): # <<<<<<<<<<<<<< + * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE + * return memoryview(self, flags, self.dtype_is_object) + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.array.get_memview", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":230 + * return memoryview(self, flags, self.dtype_is_object) + * + * def __len__(self): # <<<<<<<<<<<<<< + * return self._shape[0] + * + */ + +/* Python wrapper */ +static Py_ssize_t __pyx_array___len__(PyObject *__pyx_v_self); /*proto*/ +static Py_ssize_t __pyx_array___len__(PyObject *__pyx_v_self) { + Py_ssize_t __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__len__ (wrapper)", 0); + __pyx_r = __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(((struct __pyx_array_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self) { + Py_ssize_t __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__len__", 0); + + /* "View.MemoryView":231 + * + * def __len__(self): + * return self._shape[0] # <<<<<<<<<<<<<< + * + * def __getattr__(self, attr): + */ + __pyx_r = (__pyx_v_self->_shape[0]); + goto __pyx_L0; + + /* "View.MemoryView":230 + * return memoryview(self, flags, self.dtype_is_object) + * + * def __len__(self): # <<<<<<<<<<<<<< + * return self._shape[0] + * + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":233 + * return self._shape[0] + * + * def __getattr__(self, attr): # <<<<<<<<<<<<<< + * return getattr(self.memview, attr) + * + */ + +/* Python wrapper */ +static PyObject *__pyx_array___getattr__(PyObject *__pyx_v_self, PyObject *__pyx_v_attr); /*proto*/ +static PyObject *__pyx_array___getattr__(PyObject *__pyx_v_self, PyObject *__pyx_v_attr) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__getattr__ (wrapper)", 0); + __pyx_r = __pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_attr)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__getattr__", 0); + + /* "View.MemoryView":234 + * + * def __getattr__(self, attr): + * return getattr(self.memview, attr) # <<<<<<<<<<<<<< + * + * def __getitem__(self, item): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_memview); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 234, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_GetAttr(__pyx_t_1, __pyx_v_attr); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 234, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":233 + * return self._shape[0] + * + * def __getattr__(self, attr): # <<<<<<<<<<<<<< + * return getattr(self.memview, attr) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.array.__getattr__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":236 + * return getattr(self.memview, attr) + * + * def __getitem__(self, item): # <<<<<<<<<<<<<< + * return self.memview[item] + * + */ + +/* Python wrapper */ +static PyObject *__pyx_array___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item); /*proto*/ +static PyObject *__pyx_array___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__getitem__ (wrapper)", 0); + __pyx_r = __pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_item)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__getitem__", 0); + + /* "View.MemoryView":237 + * + * def __getitem__(self, item): + * return self.memview[item] # <<<<<<<<<<<<<< + * + * def __setitem__(self, item, value): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_memview); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetItem(__pyx_t_1, __pyx_v_item); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":236 + * return getattr(self.memview, attr) + * + * def __getitem__(self, item): # <<<<<<<<<<<<<< + * return self.memview[item] + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.array.__getitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":239 + * return self.memview[item] + * + * def __setitem__(self, item, value): # <<<<<<<<<<<<<< + * self.memview[item] = value + * + */ + +/* Python wrapper */ +static int __pyx_array___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /*proto*/ +static int __pyx_array___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value) { + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__setitem__ (wrapper)", 0); + __pyx_r = __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_item), ((PyObject *)__pyx_v_value)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value) { + int __pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__setitem__", 0); + + /* "View.MemoryView":240 + * + * def __setitem__(self, item, value): + * self.memview[item] = value # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_memview); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 240, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (unlikely(PyObject_SetItem(__pyx_t_1, __pyx_v_item, __pyx_v_value) < 0)) __PYX_ERR(2, 240, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "View.MemoryView":239 + * return self.memview[item] + * + * def __setitem__(self, item, value): # <<<<<<<<<<<<<< + * self.memview[item] = value + * + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.array.__setitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_array_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_pw___pyx_array_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__reduce_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_array___reduce_cython__(((struct __pyx_array_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__reduce_cython__", 0); + + /* "(tree fragment)":2 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__23, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 2, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 2, __pyx_L1_error) + + /* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.array.__reduce_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":3 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_array_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state); /*proto*/ +static PyObject *__pyx_pw___pyx_array_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__setstate_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_array_2__setstate_cython__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v___pyx_state)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__setstate_cython__", 0); + + /* "(tree fragment)":4 + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__24, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 4, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 4, __pyx_L1_error) + + /* "(tree fragment)":3 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.array.__setstate_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":244 + * + * @cname("__pyx_array_new") + * cdef array array_cwrapper(tuple shape, Py_ssize_t itemsize, char *format, # <<<<<<<<<<<<<< + * char *mode, char *buf): + * cdef array result + */ + +static struct __pyx_array_obj *__pyx_array_new(PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, char *__pyx_v_format, char *__pyx_v_mode, char *__pyx_v_buf) { + struct __pyx_array_obj *__pyx_v_result = 0; + struct __pyx_array_obj *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("array_cwrapper", 0); + + /* "View.MemoryView":248 + * cdef array result + * + * if buf == NULL: # <<<<<<<<<<<<<< + * result = array(shape, itemsize, format, mode.decode('ASCII')) + * else: + */ + __pyx_t_1 = ((__pyx_v_buf == NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":249 + * + * if buf == NULL: + * result = array(shape, itemsize, format, mode.decode('ASCII')) # <<<<<<<<<<<<<< + * else: + * result = array(shape, itemsize, format, mode.decode('ASCII'), + */ + __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_itemsize); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 249, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyBytes_FromString(__pyx_v_format); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 249, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_decode_c_string(__pyx_v_mode, 0, strlen(__pyx_v_mode), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 249, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = PyTuple_New(4); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 249, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_INCREF(__pyx_v_shape); + __Pyx_GIVEREF(__pyx_v_shape); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_v_shape); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_5, 2, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_5, 3, __pyx_t_4); + __pyx_t_2 = 0; + __pyx_t_3 = 0; + __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_Call(((PyObject *)__pyx_array_type), __pyx_t_5, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 249, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_v_result = ((struct __pyx_array_obj *)__pyx_t_4); + __pyx_t_4 = 0; + + /* "View.MemoryView":248 + * cdef array result + * + * if buf == NULL: # <<<<<<<<<<<<<< + * result = array(shape, itemsize, format, mode.decode('ASCII')) + * else: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":251 + * result = array(shape, itemsize, format, mode.decode('ASCII')) + * else: + * result = array(shape, itemsize, format, mode.decode('ASCII'), # <<<<<<<<<<<<<< + * allocate_buffer=False) + * result.data = buf + */ + /*else*/ { + __pyx_t_4 = PyInt_FromSsize_t(__pyx_v_itemsize); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 251, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = __Pyx_PyBytes_FromString(__pyx_v_format); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 251, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_3 = __Pyx_decode_c_string(__pyx_v_mode, 0, strlen(__pyx_v_mode), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 251, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = PyTuple_New(4); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 251, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_shape); + __Pyx_GIVEREF(__pyx_v_shape); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_shape); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_4); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_2, 2, __pyx_t_5); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_2, 3, __pyx_t_3); + __pyx_t_4 = 0; + __pyx_t_5 = 0; + __pyx_t_3 = 0; + + /* "View.MemoryView":252 + * else: + * result = array(shape, itemsize, format, mode.decode('ASCII'), + * allocate_buffer=False) # <<<<<<<<<<<<<< + * result.data = buf + * + */ + __pyx_t_3 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 252, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_allocate_buffer, Py_False) < 0) __PYX_ERR(2, 252, __pyx_L1_error) + + /* "View.MemoryView":251 + * result = array(shape, itemsize, format, mode.decode('ASCII')) + * else: + * result = array(shape, itemsize, format, mode.decode('ASCII'), # <<<<<<<<<<<<<< + * allocate_buffer=False) + * result.data = buf + */ + __pyx_t_5 = __Pyx_PyObject_Call(((PyObject *)__pyx_array_type), __pyx_t_2, __pyx_t_3); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 251, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_result = ((struct __pyx_array_obj *)__pyx_t_5); + __pyx_t_5 = 0; + + /* "View.MemoryView":253 + * result = array(shape, itemsize, format, mode.decode('ASCII'), + * allocate_buffer=False) + * result.data = buf # <<<<<<<<<<<<<< + * + * return result + */ + __pyx_v_result->data = __pyx_v_buf; + } + __pyx_L3:; + + /* "View.MemoryView":255 + * result.data = buf + * + * return result # <<<<<<<<<<<<<< + * + * + */ + __Pyx_XDECREF(((PyObject *)__pyx_r)); + __Pyx_INCREF(((PyObject *)__pyx_v_result)); + __pyx_r = __pyx_v_result; + goto __pyx_L0; + + /* "View.MemoryView":244 + * + * @cname("__pyx_array_new") + * cdef array array_cwrapper(tuple shape, Py_ssize_t itemsize, char *format, # <<<<<<<<<<<<<< + * char *mode, char *buf): + * cdef array result + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.array_cwrapper", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_result); + __Pyx_XGIVEREF((PyObject *)__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":281 + * cdef class Enum(object): + * cdef object name + * def __init__(self, name): # <<<<<<<<<<<<<< + * self.name = name + * def __repr__(self): + */ + +/* Python wrapper */ +static int __pyx_MemviewEnum___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static int __pyx_MemviewEnum___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_name = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__init__ (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_name,0}; + PyObject* values[1] = {0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_name)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__init__") < 0)) __PYX_ERR(2, 281, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 1) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + } + __pyx_v_name = values[0]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__init__", 1, 1, 1, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(2, 281, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("View.MemoryView.Enum.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return -1; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self), __pyx_v_name); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name) { + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__init__", 0); + + /* "View.MemoryView":282 + * cdef object name + * def __init__(self, name): + * self.name = name # <<<<<<<<<<<<<< + * def __repr__(self): + * return self.name + */ + __Pyx_INCREF(__pyx_v_name); + __Pyx_GIVEREF(__pyx_v_name); + __Pyx_GOTREF(__pyx_v_self->name); + __Pyx_DECREF(__pyx_v_self->name); + __pyx_v_self->name = __pyx_v_name; + + /* "View.MemoryView":281 + * cdef class Enum(object): + * cdef object name + * def __init__(self, name): # <<<<<<<<<<<<<< + * self.name = name + * def __repr__(self): + */ + + /* function exit code */ + __pyx_r = 0; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":283 + * def __init__(self, name): + * self.name = name + * def __repr__(self): # <<<<<<<<<<<<<< + * return self.name + * + */ + +/* Python wrapper */ +static PyObject *__pyx_MemviewEnum___repr__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_MemviewEnum___repr__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__repr__ (wrapper)", 0); + __pyx_r = __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__repr__", 0); + + /* "View.MemoryView":284 + * self.name = name + * def __repr__(self): + * return self.name # <<<<<<<<<<<<<< + * + * cdef generic = Enum("") + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_self->name); + __pyx_r = __pyx_v_self->name; + goto __pyx_L0; + + /* "View.MemoryView":283 + * def __init__(self, name): + * self.name = name + * def __repr__(self): # <<<<<<<<<<<<<< + * return self.name + * + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * cdef tuple state + * cdef object _dict + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_MemviewEnum_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_pw___pyx_MemviewEnum_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__reduce_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_MemviewEnum___reduce_cython__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self) { + PyObject *__pyx_v_state = 0; + PyObject *__pyx_v__dict = 0; + int __pyx_v_use_setstate; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + int __pyx_t_3; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__reduce_cython__", 0); + + /* "(tree fragment)":5 + * cdef object _dict + * cdef bint use_setstate + * state = (self.name,) # <<<<<<<<<<<<<< + * _dict = getattr(self, '__dict__', None) + * if _dict is not None: + */ + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 5, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_self->name); + __Pyx_GIVEREF(__pyx_v_self->name); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_self->name); + __pyx_v_state = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + + /* "(tree fragment)":6 + * cdef bint use_setstate + * state = (self.name,) + * _dict = getattr(self, '__dict__', None) # <<<<<<<<<<<<<< + * if _dict is not None: + * state += (_dict,) + */ + __pyx_t_1 = __Pyx_GetAttr3(((PyObject *)__pyx_v_self), __pyx_n_s_dict, Py_None); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 6, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v__dict = __pyx_t_1; + __pyx_t_1 = 0; + + /* "(tree fragment)":7 + * state = (self.name,) + * _dict = getattr(self, '__dict__', None) + * if _dict is not None: # <<<<<<<<<<<<<< + * state += (_dict,) + * use_setstate = True + */ + __pyx_t_2 = (__pyx_v__dict != Py_None); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + + /* "(tree fragment)":8 + * _dict = getattr(self, '__dict__', None) + * if _dict is not None: + * state += (_dict,) # <<<<<<<<<<<<<< + * use_setstate = True + * else: + */ + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 8, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v__dict); + __Pyx_GIVEREF(__pyx_v__dict); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v__dict); + __pyx_t_4 = PyNumber_InPlaceAdd(__pyx_v_state, __pyx_t_1); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 8, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF_SET(__pyx_v_state, ((PyObject*)__pyx_t_4)); + __pyx_t_4 = 0; + + /* "(tree fragment)":9 + * if _dict is not None: + * state += (_dict,) + * use_setstate = True # <<<<<<<<<<<<<< + * else: + * use_setstate = self.name is not None + */ + __pyx_v_use_setstate = 1; + + /* "(tree fragment)":7 + * state = (self.name,) + * _dict = getattr(self, '__dict__', None) + * if _dict is not None: # <<<<<<<<<<<<<< + * state += (_dict,) + * use_setstate = True + */ + goto __pyx_L3; + } + + /* "(tree fragment)":11 + * use_setstate = True + * else: + * use_setstate = self.name is not None # <<<<<<<<<<<<<< + * if use_setstate: + * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state + */ + /*else*/ { + __pyx_t_3 = (__pyx_v_self->name != Py_None); + __pyx_v_use_setstate = __pyx_t_3; + } + __pyx_L3:; + + /* "(tree fragment)":12 + * else: + * use_setstate = self.name is not None + * if use_setstate: # <<<<<<<<<<<<<< + * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state + * else: + */ + __pyx_t_3 = (__pyx_v_use_setstate != 0); + if (__pyx_t_3) { + + /* "(tree fragment)":13 + * use_setstate = self.name is not None + * if use_setstate: + * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state # <<<<<<<<<<<<<< + * else: + * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_pyx_unpickle_Enum); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 13, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 13, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); + __Pyx_GIVEREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); + PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); + __Pyx_INCREF(__pyx_int_184977713); + __Pyx_GIVEREF(__pyx_int_184977713); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_int_184977713); + __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(Py_None); + PyTuple_SET_ITEM(__pyx_t_1, 2, Py_None); + __pyx_t_5 = PyTuple_New(3); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 13, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_4); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_1); + __Pyx_INCREF(__pyx_v_state); + __Pyx_GIVEREF(__pyx_v_state); + PyTuple_SET_ITEM(__pyx_t_5, 2, __pyx_v_state); + __pyx_t_4 = 0; + __pyx_t_1 = 0; + __pyx_r = __pyx_t_5; + __pyx_t_5 = 0; + goto __pyx_L0; + + /* "(tree fragment)":12 + * else: + * use_setstate = self.name is not None + * if use_setstate: # <<<<<<<<<<<<<< + * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state + * else: + */ + } + + /* "(tree fragment)":15 + * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state + * else: + * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * __pyx_unpickle_Enum__set_state(self, __pyx_state) + */ + /*else*/ { + __Pyx_XDECREF(__pyx_r); + __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_pyx_unpickle_Enum); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 15, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 15, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); + __Pyx_GIVEREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); + PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); + __Pyx_INCREF(__pyx_int_184977713); + __Pyx_GIVEREF(__pyx_int_184977713); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_int_184977713); + __Pyx_INCREF(__pyx_v_state); + __Pyx_GIVEREF(__pyx_v_state); + PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_v_state); + __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 15, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_5); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_t_1); + __pyx_t_5 = 0; + __pyx_t_1 = 0; + __pyx_r = __pyx_t_4; + __pyx_t_4 = 0; + goto __pyx_L0; + } + + /* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * cdef tuple state + * cdef object _dict + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.Enum.__reduce_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_state); + __Pyx_XDECREF(__pyx_v__dict); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":16 + * else: + * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * __pyx_unpickle_Enum__set_state(self, __pyx_state) + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_MemviewEnum_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state); /*proto*/ +static PyObject *__pyx_pw___pyx_MemviewEnum_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__setstate_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_MemviewEnum_2__setstate_cython__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self), ((PyObject *)__pyx_v___pyx_state)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__setstate_cython__", 0); + + /* "(tree fragment)":17 + * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) + * def __setstate_cython__(self, __pyx_state): + * __pyx_unpickle_Enum__set_state(self, __pyx_state) # <<<<<<<<<<<<<< + */ + if (!(likely(PyTuple_CheckExact(__pyx_v___pyx_state))||((__pyx_v___pyx_state) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "tuple", Py_TYPE(__pyx_v___pyx_state)->tp_name), 0))) __PYX_ERR(2, 17, __pyx_L1_error) + __pyx_t_1 = __pyx_unpickle_Enum__set_state(__pyx_v_self, ((PyObject*)__pyx_v___pyx_state)); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 17, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "(tree fragment)":16 + * else: + * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * __pyx_unpickle_Enum__set_state(self, __pyx_state) + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.Enum.__setstate_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":298 + * + * @cname('__pyx_align_pointer') + * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< + * "Align pointer memory on a given boundary" + * cdef Py_intptr_t aligned_p = memory + */ + +static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) { + Py_intptr_t __pyx_v_aligned_p; + size_t __pyx_v_offset; + void *__pyx_r; + int __pyx_t_1; + + /* "View.MemoryView":300 + * cdef void *align_pointer(void *memory, size_t alignment) nogil: + * "Align pointer memory on a given boundary" + * cdef Py_intptr_t aligned_p = memory # <<<<<<<<<<<<<< + * cdef size_t offset + * + */ + __pyx_v_aligned_p = ((Py_intptr_t)__pyx_v_memory); + + /* "View.MemoryView":304 + * + * with cython.cdivision(True): + * offset = aligned_p % alignment # <<<<<<<<<<<<<< + * + * if offset > 0: + */ + __pyx_v_offset = (__pyx_v_aligned_p % __pyx_v_alignment); + + /* "View.MemoryView":306 + * offset = aligned_p % alignment + * + * if offset > 0: # <<<<<<<<<<<<<< + * aligned_p += alignment - offset + * + */ + __pyx_t_1 = ((__pyx_v_offset > 0) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":307 + * + * if offset > 0: + * aligned_p += alignment - offset # <<<<<<<<<<<<<< + * + * return aligned_p + */ + __pyx_v_aligned_p = (__pyx_v_aligned_p + (__pyx_v_alignment - __pyx_v_offset)); + + /* "View.MemoryView":306 + * offset = aligned_p % alignment + * + * if offset > 0: # <<<<<<<<<<<<<< + * aligned_p += alignment - offset + * + */ + } + + /* "View.MemoryView":309 + * aligned_p += alignment - offset + * + * return aligned_p # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = ((void *)__pyx_v_aligned_p); + goto __pyx_L0; + + /* "View.MemoryView":298 + * + * @cname('__pyx_align_pointer') + * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< + * "Align pointer memory on a given boundary" + * cdef Py_intptr_t aligned_p = memory + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":345 + * cdef __Pyx_TypeInfo *typeinfo + * + * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< + * self.obj = obj + * self.flags = flags + */ + +/* Python wrapper */ +static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_obj = 0; + int __pyx_v_flags; + int __pyx_v_dtype_is_object; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_obj,&__pyx_n_s_flags,&__pyx_n_s_dtype_is_object,0}; + PyObject* values[3] = {0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_obj)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_flags)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, 1); __PYX_ERR(2, 345, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_dtype_is_object); + if (value) { values[2] = value; kw_args--; } + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) __PYX_ERR(2, 345, __pyx_L3_error) + } + } else { + switch (PyTuple_GET_SIZE(__pyx_args)) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + break; + default: goto __pyx_L5_argtuple_error; + } + } + __pyx_v_obj = values[0]; + __pyx_v_flags = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_flags == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 345, __pyx_L3_error) + if (values[2]) { + __pyx_v_dtype_is_object = __Pyx_PyObject_IsTrue(values[2]); if (unlikely((__pyx_v_dtype_is_object == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 345, __pyx_L3_error) + } else { + __pyx_v_dtype_is_object = ((int)0); + } + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(2, 345, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("View.MemoryView.memoryview.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return -1; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_obj, __pyx_v_flags, __pyx_v_dtype_is_object); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object) { + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__cinit__", 0); + + /* "View.MemoryView":346 + * + * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): + * self.obj = obj # <<<<<<<<<<<<<< + * self.flags = flags + * if type(self) is memoryview or obj is not None: + */ + __Pyx_INCREF(__pyx_v_obj); + __Pyx_GIVEREF(__pyx_v_obj); + __Pyx_GOTREF(__pyx_v_self->obj); + __Pyx_DECREF(__pyx_v_self->obj); + __pyx_v_self->obj = __pyx_v_obj; + + /* "View.MemoryView":347 + * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): + * self.obj = obj + * self.flags = flags # <<<<<<<<<<<<<< + * if type(self) is memoryview or obj is not None: + * __Pyx_GetBuffer(obj, &self.view, flags) + */ + __pyx_v_self->flags = __pyx_v_flags; + + /* "View.MemoryView":348 + * self.obj = obj + * self.flags = flags + * if type(self) is memoryview or obj is not None: # <<<<<<<<<<<<<< + * __Pyx_GetBuffer(obj, &self.view, flags) + * if self.view.obj == NULL: + */ + __pyx_t_2 = (((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self))) == ((PyObject *)__pyx_memoryview_type)); + __pyx_t_3 = (__pyx_t_2 != 0); + if (!__pyx_t_3) { + } else { + __pyx_t_1 = __pyx_t_3; + goto __pyx_L4_bool_binop_done; + } + __pyx_t_3 = (__pyx_v_obj != Py_None); + __pyx_t_2 = (__pyx_t_3 != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L4_bool_binop_done:; + if (__pyx_t_1) { + + /* "View.MemoryView":349 + * self.flags = flags + * if type(self) is memoryview or obj is not None: + * __Pyx_GetBuffer(obj, &self.view, flags) # <<<<<<<<<<<<<< + * if self.view.obj == NULL: + * (<__pyx_buffer *> &self.view).obj = Py_None + */ + __pyx_t_4 = __Pyx_GetBuffer(__pyx_v_obj, (&__pyx_v_self->view), __pyx_v_flags); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 349, __pyx_L1_error) + + /* "View.MemoryView":350 + * if type(self) is memoryview or obj is not None: + * __Pyx_GetBuffer(obj, &self.view, flags) + * if self.view.obj == NULL: # <<<<<<<<<<<<<< + * (<__pyx_buffer *> &self.view).obj = Py_None + * Py_INCREF(Py_None) + */ + __pyx_t_1 = ((((PyObject *)__pyx_v_self->view.obj) == NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":351 + * __Pyx_GetBuffer(obj, &self.view, flags) + * if self.view.obj == NULL: + * (<__pyx_buffer *> &self.view).obj = Py_None # <<<<<<<<<<<<<< + * Py_INCREF(Py_None) + * + */ + ((Py_buffer *)(&__pyx_v_self->view))->obj = Py_None; + + /* "View.MemoryView":352 + * if self.view.obj == NULL: + * (<__pyx_buffer *> &self.view).obj = Py_None + * Py_INCREF(Py_None) # <<<<<<<<<<<<<< + * + * global __pyx_memoryview_thread_locks_used + */ + Py_INCREF(Py_None); + + /* "View.MemoryView":350 + * if type(self) is memoryview or obj is not None: + * __Pyx_GetBuffer(obj, &self.view, flags) + * if self.view.obj == NULL: # <<<<<<<<<<<<<< + * (<__pyx_buffer *> &self.view).obj = Py_None + * Py_INCREF(Py_None) + */ + } + + /* "View.MemoryView":348 + * self.obj = obj + * self.flags = flags + * if type(self) is memoryview or obj is not None: # <<<<<<<<<<<<<< + * __Pyx_GetBuffer(obj, &self.view, flags) + * if self.view.obj == NULL: + */ + } + + /* "View.MemoryView":355 + * + * global __pyx_memoryview_thread_locks_used + * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: # <<<<<<<<<<<<<< + * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] + * __pyx_memoryview_thread_locks_used += 1 + */ + __pyx_t_1 = ((__pyx_memoryview_thread_locks_used < 8) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":356 + * global __pyx_memoryview_thread_locks_used + * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: + * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] # <<<<<<<<<<<<<< + * __pyx_memoryview_thread_locks_used += 1 + * if self.lock is NULL: + */ + __pyx_v_self->lock = (__pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]); + + /* "View.MemoryView":357 + * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: + * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] + * __pyx_memoryview_thread_locks_used += 1 # <<<<<<<<<<<<<< + * if self.lock is NULL: + * self.lock = PyThread_allocate_lock() + */ + __pyx_memoryview_thread_locks_used = (__pyx_memoryview_thread_locks_used + 1); + + /* "View.MemoryView":355 + * + * global __pyx_memoryview_thread_locks_used + * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: # <<<<<<<<<<<<<< + * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] + * __pyx_memoryview_thread_locks_used += 1 + */ + } + + /* "View.MemoryView":358 + * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] + * __pyx_memoryview_thread_locks_used += 1 + * if self.lock is NULL: # <<<<<<<<<<<<<< + * self.lock = PyThread_allocate_lock() + * if self.lock is NULL: + */ + __pyx_t_1 = ((__pyx_v_self->lock == NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":359 + * __pyx_memoryview_thread_locks_used += 1 + * if self.lock is NULL: + * self.lock = PyThread_allocate_lock() # <<<<<<<<<<<<<< + * if self.lock is NULL: + * raise MemoryError + */ + __pyx_v_self->lock = PyThread_allocate_lock(); + + /* "View.MemoryView":360 + * if self.lock is NULL: + * self.lock = PyThread_allocate_lock() + * if self.lock is NULL: # <<<<<<<<<<<<<< + * raise MemoryError + * + */ + __pyx_t_1 = ((__pyx_v_self->lock == NULL) != 0); + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":361 + * self.lock = PyThread_allocate_lock() + * if self.lock is NULL: + * raise MemoryError # <<<<<<<<<<<<<< + * + * if flags & PyBUF_FORMAT: + */ + PyErr_NoMemory(); __PYX_ERR(2, 361, __pyx_L1_error) + + /* "View.MemoryView":360 + * if self.lock is NULL: + * self.lock = PyThread_allocate_lock() + * if self.lock is NULL: # <<<<<<<<<<<<<< + * raise MemoryError + * + */ + } + + /* "View.MemoryView":358 + * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] + * __pyx_memoryview_thread_locks_used += 1 + * if self.lock is NULL: # <<<<<<<<<<<<<< + * self.lock = PyThread_allocate_lock() + * if self.lock is NULL: + */ + } + + /* "View.MemoryView":363 + * raise MemoryError + * + * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< + * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') + * else: + */ + __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":364 + * + * if flags & PyBUF_FORMAT: + * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') # <<<<<<<<<<<<<< + * else: + * self.dtype_is_object = dtype_is_object + */ + __pyx_t_2 = (((__pyx_v_self->view.format[0]) == 'O') != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L11_bool_binop_done; + } + __pyx_t_2 = (((__pyx_v_self->view.format[1]) == '\x00') != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L11_bool_binop_done:; + __pyx_v_self->dtype_is_object = __pyx_t_1; + + /* "View.MemoryView":363 + * raise MemoryError + * + * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< + * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') + * else: + */ + goto __pyx_L10; + } + + /* "View.MemoryView":366 + * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') + * else: + * self.dtype_is_object = dtype_is_object # <<<<<<<<<<<<<< + * + * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( + */ + /*else*/ { + __pyx_v_self->dtype_is_object = __pyx_v_dtype_is_object; + } + __pyx_L10:; + + /* "View.MemoryView":368 + * self.dtype_is_object = dtype_is_object + * + * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( # <<<<<<<<<<<<<< + * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) + * self.typeinfo = NULL + */ + __pyx_v_self->acquisition_count_aligned_p = ((__pyx_atomic_int *)__pyx_align_pointer(((void *)(&(__pyx_v_self->acquisition_count[0]))), (sizeof(__pyx_atomic_int)))); + + /* "View.MemoryView":370 + * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( + * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) + * self.typeinfo = NULL # <<<<<<<<<<<<<< + * + * def __dealloc__(memoryview self): + */ + __pyx_v_self->typeinfo = NULL; + + /* "View.MemoryView":345 + * cdef __Pyx_TypeInfo *typeinfo + * + * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< + * self.obj = obj + * self.flags = flags + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_AddTraceback("View.MemoryView.memoryview.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":372 + * self.typeinfo = NULL + * + * def __dealloc__(memoryview self): # <<<<<<<<<<<<<< + * if self.obj is not None: + * __Pyx_ReleaseBuffer(&self.view) + */ + +/* Python wrapper */ +static void __pyx_memoryview___dealloc__(PyObject *__pyx_v_self); /*proto*/ +static void __pyx_memoryview___dealloc__(PyObject *__pyx_v_self) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); + __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self) { + int __pyx_v_i; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + int __pyx_t_5; + PyThread_type_lock __pyx_t_6; + PyThread_type_lock __pyx_t_7; + __Pyx_RefNannySetupContext("__dealloc__", 0); + + /* "View.MemoryView":373 + * + * def __dealloc__(memoryview self): + * if self.obj is not None: # <<<<<<<<<<<<<< + * __Pyx_ReleaseBuffer(&self.view) + * elif (<__pyx_buffer *> &self.view).obj == Py_None: + */ + __pyx_t_1 = (__pyx_v_self->obj != Py_None); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":374 + * def __dealloc__(memoryview self): + * if self.obj is not None: + * __Pyx_ReleaseBuffer(&self.view) # <<<<<<<<<<<<<< + * elif (<__pyx_buffer *> &self.view).obj == Py_None: + * + */ + __Pyx_ReleaseBuffer((&__pyx_v_self->view)); + + /* "View.MemoryView":373 + * + * def __dealloc__(memoryview self): + * if self.obj is not None: # <<<<<<<<<<<<<< + * __Pyx_ReleaseBuffer(&self.view) + * elif (<__pyx_buffer *> &self.view).obj == Py_None: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":375 + * if self.obj is not None: + * __Pyx_ReleaseBuffer(&self.view) + * elif (<__pyx_buffer *> &self.view).obj == Py_None: # <<<<<<<<<<<<<< + * + * (<__pyx_buffer *> &self.view).obj = NULL + */ + __pyx_t_2 = ((((Py_buffer *)(&__pyx_v_self->view))->obj == Py_None) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":377 + * elif (<__pyx_buffer *> &self.view).obj == Py_None: + * + * (<__pyx_buffer *> &self.view).obj = NULL # <<<<<<<<<<<<<< + * Py_DECREF(Py_None) + * + */ + ((Py_buffer *)(&__pyx_v_self->view))->obj = NULL; + + /* "View.MemoryView":378 + * + * (<__pyx_buffer *> &self.view).obj = NULL + * Py_DECREF(Py_None) # <<<<<<<<<<<<<< + * + * cdef int i + */ + Py_DECREF(Py_None); + + /* "View.MemoryView":375 + * if self.obj is not None: + * __Pyx_ReleaseBuffer(&self.view) + * elif (<__pyx_buffer *> &self.view).obj == Py_None: # <<<<<<<<<<<<<< + * + * (<__pyx_buffer *> &self.view).obj = NULL + */ + } + __pyx_L3:; + + /* "View.MemoryView":382 + * cdef int i + * global __pyx_memoryview_thread_locks_used + * if self.lock != NULL: # <<<<<<<<<<<<<< + * for i in range(__pyx_memoryview_thread_locks_used): + * if __pyx_memoryview_thread_locks[i] is self.lock: + */ + __pyx_t_2 = ((__pyx_v_self->lock != NULL) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":383 + * global __pyx_memoryview_thread_locks_used + * if self.lock != NULL: + * for i in range(__pyx_memoryview_thread_locks_used): # <<<<<<<<<<<<<< + * if __pyx_memoryview_thread_locks[i] is self.lock: + * __pyx_memoryview_thread_locks_used -= 1 + */ + __pyx_t_3 = __pyx_memoryview_thread_locks_used; + __pyx_t_4 = __pyx_t_3; + for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { + __pyx_v_i = __pyx_t_5; + + /* "View.MemoryView":384 + * if self.lock != NULL: + * for i in range(__pyx_memoryview_thread_locks_used): + * if __pyx_memoryview_thread_locks[i] is self.lock: # <<<<<<<<<<<<<< + * __pyx_memoryview_thread_locks_used -= 1 + * if i != __pyx_memoryview_thread_locks_used: + */ + __pyx_t_2 = (((__pyx_memoryview_thread_locks[__pyx_v_i]) == __pyx_v_self->lock) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":385 + * for i in range(__pyx_memoryview_thread_locks_used): + * if __pyx_memoryview_thread_locks[i] is self.lock: + * __pyx_memoryview_thread_locks_used -= 1 # <<<<<<<<<<<<<< + * if i != __pyx_memoryview_thread_locks_used: + * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( + */ + __pyx_memoryview_thread_locks_used = (__pyx_memoryview_thread_locks_used - 1); + + /* "View.MemoryView":386 + * if __pyx_memoryview_thread_locks[i] is self.lock: + * __pyx_memoryview_thread_locks_used -= 1 + * if i != __pyx_memoryview_thread_locks_used: # <<<<<<<<<<<<<< + * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( + * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) + */ + __pyx_t_2 = ((__pyx_v_i != __pyx_memoryview_thread_locks_used) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":388 + * if i != __pyx_memoryview_thread_locks_used: + * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( + * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) # <<<<<<<<<<<<<< + * break + * else: + */ + __pyx_t_6 = (__pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]); + __pyx_t_7 = (__pyx_memoryview_thread_locks[__pyx_v_i]); + + /* "View.MemoryView":387 + * __pyx_memoryview_thread_locks_used -= 1 + * if i != __pyx_memoryview_thread_locks_used: + * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( # <<<<<<<<<<<<<< + * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) + * break + */ + (__pyx_memoryview_thread_locks[__pyx_v_i]) = __pyx_t_6; + (__pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]) = __pyx_t_7; + + /* "View.MemoryView":386 + * if __pyx_memoryview_thread_locks[i] is self.lock: + * __pyx_memoryview_thread_locks_used -= 1 + * if i != __pyx_memoryview_thread_locks_used: # <<<<<<<<<<<<<< + * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( + * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) + */ + } + + /* "View.MemoryView":389 + * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( + * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) + * break # <<<<<<<<<<<<<< + * else: + * PyThread_free_lock(self.lock) + */ + goto __pyx_L6_break; + + /* "View.MemoryView":384 + * if self.lock != NULL: + * for i in range(__pyx_memoryview_thread_locks_used): + * if __pyx_memoryview_thread_locks[i] is self.lock: # <<<<<<<<<<<<<< + * __pyx_memoryview_thread_locks_used -= 1 + * if i != __pyx_memoryview_thread_locks_used: + */ + } + } + /*else*/ { + + /* "View.MemoryView":391 + * break + * else: + * PyThread_free_lock(self.lock) # <<<<<<<<<<<<<< + * + * cdef char *get_item_pointer(memoryview self, object index) except NULL: + */ + PyThread_free_lock(__pyx_v_self->lock); + } + __pyx_L6_break:; + + /* "View.MemoryView":382 + * cdef int i + * global __pyx_memoryview_thread_locks_used + * if self.lock != NULL: # <<<<<<<<<<<<<< + * for i in range(__pyx_memoryview_thread_locks_used): + * if __pyx_memoryview_thread_locks[i] is self.lock: + */ + } + + /* "View.MemoryView":372 + * self.typeinfo = NULL + * + * def __dealloc__(memoryview self): # <<<<<<<<<<<<<< + * if self.obj is not None: + * __Pyx_ReleaseBuffer(&self.view) + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "View.MemoryView":393 + * PyThread_free_lock(self.lock) + * + * cdef char *get_item_pointer(memoryview self, object index) except NULL: # <<<<<<<<<<<<<< + * cdef Py_ssize_t dim + * cdef char *itemp = self.view.buf + */ + +static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index) { + Py_ssize_t __pyx_v_dim; + char *__pyx_v_itemp; + PyObject *__pyx_v_idx = NULL; + char *__pyx_r; + __Pyx_RefNannyDeclarations + Py_ssize_t __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + Py_ssize_t __pyx_t_3; + PyObject *(*__pyx_t_4)(PyObject *); + PyObject *__pyx_t_5 = NULL; + Py_ssize_t __pyx_t_6; + char *__pyx_t_7; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("get_item_pointer", 0); + + /* "View.MemoryView":395 + * cdef char *get_item_pointer(memoryview self, object index) except NULL: + * cdef Py_ssize_t dim + * cdef char *itemp = self.view.buf # <<<<<<<<<<<<<< + * + * for dim, idx in enumerate(index): + */ + __pyx_v_itemp = ((char *)__pyx_v_self->view.buf); + + /* "View.MemoryView":397 + * cdef char *itemp = self.view.buf + * + * for dim, idx in enumerate(index): # <<<<<<<<<<<<<< + * itemp = pybuffer_index(&self.view, itemp, idx, dim) + * + */ + __pyx_t_1 = 0; + if (likely(PyList_CheckExact(__pyx_v_index)) || PyTuple_CheckExact(__pyx_v_index)) { + __pyx_t_2 = __pyx_v_index; __Pyx_INCREF(__pyx_t_2); __pyx_t_3 = 0; + __pyx_t_4 = NULL; + } else { + __pyx_t_3 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_v_index); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 397, __pyx_L1_error) + } + for (;;) { + if (likely(!__pyx_t_4)) { + if (likely(PyList_CheckExact(__pyx_t_2))) { + if (__pyx_t_3 >= PyList_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_5 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(2, 397, __pyx_L1_error) + #else + __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + #endif + } else { + if (__pyx_t_3 >= PyTuple_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(2, 397, __pyx_L1_error) + #else + __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + #endif + } + } else { + __pyx_t_5 = __pyx_t_4(__pyx_t_2); + if (unlikely(!__pyx_t_5)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(2, 397, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_5); + } + __Pyx_XDECREF_SET(__pyx_v_idx, __pyx_t_5); + __pyx_t_5 = 0; + __pyx_v_dim = __pyx_t_1; + __pyx_t_1 = (__pyx_t_1 + 1); + + /* "View.MemoryView":398 + * + * for dim, idx in enumerate(index): + * itemp = pybuffer_index(&self.view, itemp, idx, dim) # <<<<<<<<<<<<<< + * + * return itemp + */ + __pyx_t_6 = __Pyx_PyIndex_AsSsize_t(__pyx_v_idx); if (unlikely((__pyx_t_6 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 398, __pyx_L1_error) + __pyx_t_7 = __pyx_pybuffer_index((&__pyx_v_self->view), __pyx_v_itemp, __pyx_t_6, __pyx_v_dim); if (unlikely(__pyx_t_7 == ((char *)NULL))) __PYX_ERR(2, 398, __pyx_L1_error) + __pyx_v_itemp = __pyx_t_7; + + /* "View.MemoryView":397 + * cdef char *itemp = self.view.buf + * + * for dim, idx in enumerate(index): # <<<<<<<<<<<<<< + * itemp = pybuffer_index(&self.view, itemp, idx, dim) + * + */ + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "View.MemoryView":400 + * itemp = pybuffer_index(&self.view, itemp, idx, dim) + * + * return itemp # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = __pyx_v_itemp; + goto __pyx_L0; + + /* "View.MemoryView":393 + * PyThread_free_lock(self.lock) + * + * cdef char *get_item_pointer(memoryview self, object index) except NULL: # <<<<<<<<<<<<<< + * cdef Py_ssize_t dim + * cdef char *itemp = self.view.buf + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.memoryview.get_item_pointer", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_idx); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":403 + * + * + * def __getitem__(memoryview self, object index): # <<<<<<<<<<<<<< + * if index is Ellipsis: + * return self + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index); /*proto*/ +static PyObject *__pyx_memoryview___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__getitem__ (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((PyObject *)__pyx_v_index)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index) { + PyObject *__pyx_v_have_slices = NULL; + PyObject *__pyx_v_indices = NULL; + char *__pyx_v_itemp; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + char *__pyx_t_6; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__getitem__", 0); + + /* "View.MemoryView":404 + * + * def __getitem__(memoryview self, object index): + * if index is Ellipsis: # <<<<<<<<<<<<<< + * return self + * + */ + __pyx_t_1 = (__pyx_v_index == __pyx_builtin_Ellipsis); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":405 + * def __getitem__(memoryview self, object index): + * if index is Ellipsis: + * return self # <<<<<<<<<<<<<< + * + * have_slices, indices = _unellipsify(index, self.view.ndim) + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(((PyObject *)__pyx_v_self)); + __pyx_r = ((PyObject *)__pyx_v_self); + goto __pyx_L0; + + /* "View.MemoryView":404 + * + * def __getitem__(memoryview self, object index): + * if index is Ellipsis: # <<<<<<<<<<<<<< + * return self + * + */ + } + + /* "View.MemoryView":407 + * return self + * + * have_slices, indices = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< + * + * cdef char *itemp + */ + __pyx_t_3 = _unellipsify(__pyx_v_index, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 407, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + if (likely(__pyx_t_3 != Py_None)) { + PyObject* sequence = __pyx_t_3; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(2, 407, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_4 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_5 = PyTuple_GET_ITEM(sequence, 1); + __Pyx_INCREF(__pyx_t_4); + __Pyx_INCREF(__pyx_t_5); + #else + __pyx_t_4 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 407, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 407, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + #endif + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } else { + __Pyx_RaiseNoneNotIterableError(); __PYX_ERR(2, 407, __pyx_L1_error) + } + __pyx_v_have_slices = __pyx_t_4; + __pyx_t_4 = 0; + __pyx_v_indices = __pyx_t_5; + __pyx_t_5 = 0; + + /* "View.MemoryView":410 + * + * cdef char *itemp + * if have_slices: # <<<<<<<<<<<<<< + * return memview_slice(self, indices) + * else: + */ + __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(2, 410, __pyx_L1_error) + if (__pyx_t_2) { + + /* "View.MemoryView":411 + * cdef char *itemp + * if have_slices: + * return memview_slice(self, indices) # <<<<<<<<<<<<<< + * else: + * itemp = self.get_item_pointer(indices) + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_3 = ((PyObject *)__pyx_memview_slice(__pyx_v_self, __pyx_v_indices)); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 411, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_r = __pyx_t_3; + __pyx_t_3 = 0; + goto __pyx_L0; + + /* "View.MemoryView":410 + * + * cdef char *itemp + * if have_slices: # <<<<<<<<<<<<<< + * return memview_slice(self, indices) + * else: + */ + } + + /* "View.MemoryView":413 + * return memview_slice(self, indices) + * else: + * itemp = self.get_item_pointer(indices) # <<<<<<<<<<<<<< + * return self.convert_item_to_object(itemp) + * + */ + /*else*/ { + __pyx_t_6 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->get_item_pointer(__pyx_v_self, __pyx_v_indices); if (unlikely(__pyx_t_6 == ((char *)NULL))) __PYX_ERR(2, 413, __pyx_L1_error) + __pyx_v_itemp = __pyx_t_6; + + /* "View.MemoryView":414 + * else: + * itemp = self.get_item_pointer(indices) + * return self.convert_item_to_object(itemp) # <<<<<<<<<<<<<< + * + * def __setitem__(memoryview self, object index, object value): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_3 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->convert_item_to_object(__pyx_v_self, __pyx_v_itemp); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 414, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_r = __pyx_t_3; + __pyx_t_3 = 0; + goto __pyx_L0; + } + + /* "View.MemoryView":403 + * + * + * def __getitem__(memoryview self, object index): # <<<<<<<<<<<<<< + * if index is Ellipsis: + * return self + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.memoryview.__getitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_have_slices); + __Pyx_XDECREF(__pyx_v_indices); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":416 + * return self.convert_item_to_object(itemp) + * + * def __setitem__(memoryview self, object index, object value): # <<<<<<<<<<<<<< + * if self.view.readonly: + * raise TypeError("Cannot assign to read-only memoryview") + */ + +/* Python wrapper */ +static int __pyx_memoryview___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /*proto*/ +static int __pyx_memoryview___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__setitem__ (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((PyObject *)__pyx_v_index), ((PyObject *)__pyx_v_value)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { + PyObject *__pyx_v_have_slices = NULL; + PyObject *__pyx_v_obj = NULL; + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__setitem__", 0); + __Pyx_INCREF(__pyx_v_index); + + /* "View.MemoryView":417 + * + * def __setitem__(memoryview self, object index, object value): + * if self.view.readonly: # <<<<<<<<<<<<<< + * raise TypeError("Cannot assign to read-only memoryview") + * + */ + __pyx_t_1 = (__pyx_v_self->view.readonly != 0); + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":418 + * def __setitem__(memoryview self, object index, object value): + * if self.view.readonly: + * raise TypeError("Cannot assign to read-only memoryview") # <<<<<<<<<<<<<< + * + * have_slices, index = _unellipsify(index, self.view.ndim) + */ + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__25, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 418, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_Raise(__pyx_t_2, 0, 0, 0); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __PYX_ERR(2, 418, __pyx_L1_error) + + /* "View.MemoryView":417 + * + * def __setitem__(memoryview self, object index, object value): + * if self.view.readonly: # <<<<<<<<<<<<<< + * raise TypeError("Cannot assign to read-only memoryview") + * + */ + } + + /* "View.MemoryView":420 + * raise TypeError("Cannot assign to read-only memoryview") + * + * have_slices, index = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< + * + * if have_slices: + */ + __pyx_t_2 = _unellipsify(__pyx_v_index, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 420, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (likely(__pyx_t_2 != Py_None)) { + PyObject* sequence = __pyx_t_2; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(2, 420, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(__pyx_t_4); + #else + __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 420, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 420, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + #endif + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } else { + __Pyx_RaiseNoneNotIterableError(); __PYX_ERR(2, 420, __pyx_L1_error) + } + __pyx_v_have_slices = __pyx_t_3; + __pyx_t_3 = 0; + __Pyx_DECREF_SET(__pyx_v_index, __pyx_t_4); + __pyx_t_4 = 0; + + /* "View.MemoryView":422 + * have_slices, index = _unellipsify(index, self.view.ndim) + * + * if have_slices: # <<<<<<<<<<<<<< + * obj = self.is_slice(value) + * if obj: + */ + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(2, 422, __pyx_L1_error) + if (__pyx_t_1) { + + /* "View.MemoryView":423 + * + * if have_slices: + * obj = self.is_slice(value) # <<<<<<<<<<<<<< + * if obj: + * self.setitem_slice_assignment(self[index], obj) + */ + __pyx_t_2 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->is_slice(__pyx_v_self, __pyx_v_value); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_v_obj = __pyx_t_2; + __pyx_t_2 = 0; + + /* "View.MemoryView":424 + * if have_slices: + * obj = self.is_slice(value) + * if obj: # <<<<<<<<<<<<<< + * self.setitem_slice_assignment(self[index], obj) + * else: + */ + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_obj); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(2, 424, __pyx_L1_error) + if (__pyx_t_1) { + + /* "View.MemoryView":425 + * obj = self.is_slice(value) + * if obj: + * self.setitem_slice_assignment(self[index], obj) # <<<<<<<<<<<<<< + * else: + * self.setitem_slice_assign_scalar(self[index], value) + */ + __pyx_t_2 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_self), __pyx_v_index); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 425, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_slice_assignment(__pyx_v_self, __pyx_t_2, __pyx_v_obj); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 425, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "View.MemoryView":424 + * if have_slices: + * obj = self.is_slice(value) + * if obj: # <<<<<<<<<<<<<< + * self.setitem_slice_assignment(self[index], obj) + * else: + */ + goto __pyx_L5; + } + + /* "View.MemoryView":427 + * self.setitem_slice_assignment(self[index], obj) + * else: + * self.setitem_slice_assign_scalar(self[index], value) # <<<<<<<<<<<<<< + * else: + * self.setitem_indexed(index, value) + */ + /*else*/ { + __pyx_t_4 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_self), __pyx_v_index); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (!(likely(((__pyx_t_4) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_4, __pyx_memoryview_type))))) __PYX_ERR(2, 427, __pyx_L1_error) + __pyx_t_2 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_slice_assign_scalar(__pyx_v_self, ((struct __pyx_memoryview_obj *)__pyx_t_4), __pyx_v_value); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } + __pyx_L5:; + + /* "View.MemoryView":422 + * have_slices, index = _unellipsify(index, self.view.ndim) + * + * if have_slices: # <<<<<<<<<<<<<< + * obj = self.is_slice(value) + * if obj: + */ + goto __pyx_L4; + } + + /* "View.MemoryView":429 + * self.setitem_slice_assign_scalar(self[index], value) + * else: + * self.setitem_indexed(index, value) # <<<<<<<<<<<<<< + * + * cdef is_slice(self, obj): + */ + /*else*/ { + __pyx_t_2 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_indexed(__pyx_v_self, __pyx_v_index, __pyx_v_value); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 429, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } + __pyx_L4:; + + /* "View.MemoryView":416 + * return self.convert_item_to_object(itemp) + * + * def __setitem__(memoryview self, object index, object value): # <<<<<<<<<<<<<< + * if self.view.readonly: + * raise TypeError("Cannot assign to read-only memoryview") + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_AddTraceback("View.MemoryView.memoryview.__setitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_have_slices); + __Pyx_XDECREF(__pyx_v_obj); + __Pyx_XDECREF(__pyx_v_index); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":431 + * self.setitem_indexed(index, value) + * + * cdef is_slice(self, obj): # <<<<<<<<<<<<<< + * if not isinstance(obj, memoryview): + * try: + */ + +static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + int __pyx_t_9; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("is_slice", 0); + __Pyx_INCREF(__pyx_v_obj); + + /* "View.MemoryView":432 + * + * cdef is_slice(self, obj): + * if not isinstance(obj, memoryview): # <<<<<<<<<<<<<< + * try: + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + */ + __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_obj, __pyx_memoryview_type); + __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":433 + * cdef is_slice(self, obj): + * if not isinstance(obj, memoryview): + * try: # <<<<<<<<<<<<<< + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * self.dtype_is_object) + */ + { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ExceptionSave(&__pyx_t_3, &__pyx_t_4, &__pyx_t_5); + __Pyx_XGOTREF(__pyx_t_3); + __Pyx_XGOTREF(__pyx_t_4); + __Pyx_XGOTREF(__pyx_t_5); + /*try:*/ { + + /* "View.MemoryView":434 + * if not isinstance(obj, memoryview): + * try: + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, # <<<<<<<<<<<<<< + * self.dtype_is_object) + * except TypeError: + */ + __pyx_t_6 = __Pyx_PyInt_From_int(((__pyx_v_self->flags & (~PyBUF_WRITABLE)) | PyBUF_ANY_CONTIGUOUS)); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 434, __pyx_L4_error) + __Pyx_GOTREF(__pyx_t_6); + + /* "View.MemoryView":435 + * try: + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * self.dtype_is_object) # <<<<<<<<<<<<<< + * except TypeError: + * return None + */ + __pyx_t_7 = __Pyx_PyBool_FromLong(__pyx_v_self->dtype_is_object); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 435, __pyx_L4_error) + __Pyx_GOTREF(__pyx_t_7); + + /* "View.MemoryView":434 + * if not isinstance(obj, memoryview): + * try: + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, # <<<<<<<<<<<<<< + * self.dtype_is_object) + * except TypeError: + */ + __pyx_t_8 = PyTuple_New(3); if (unlikely(!__pyx_t_8)) __PYX_ERR(2, 434, __pyx_L4_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_INCREF(__pyx_v_obj); + __Pyx_GIVEREF(__pyx_v_obj); + PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_v_obj); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_8, 1, __pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_8, 2, __pyx_t_7); + __pyx_t_6 = 0; + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryview_type), __pyx_t_8, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 434, __pyx_L4_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF_SET(__pyx_v_obj, __pyx_t_7); + __pyx_t_7 = 0; + + /* "View.MemoryView":433 + * cdef is_slice(self, obj): + * if not isinstance(obj, memoryview): + * try: # <<<<<<<<<<<<<< + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * self.dtype_is_object) + */ + } + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + goto __pyx_L9_try_end; + __pyx_L4_error:; + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + + /* "View.MemoryView":436 + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * self.dtype_is_object) + * except TypeError: # <<<<<<<<<<<<<< + * return None + * + */ + __pyx_t_9 = __Pyx_PyErr_ExceptionMatches(__pyx_builtin_TypeError); + if (__pyx_t_9) { + __Pyx_AddTraceback("View.MemoryView.memoryview.is_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); + if (__Pyx_GetException(&__pyx_t_7, &__pyx_t_8, &__pyx_t_6) < 0) __PYX_ERR(2, 436, __pyx_L6_except_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GOTREF(__pyx_t_8); + __Pyx_GOTREF(__pyx_t_6); + + /* "View.MemoryView":437 + * self.dtype_is_object) + * except TypeError: + * return None # <<<<<<<<<<<<<< + * + * return obj + */ + __Pyx_XDECREF(__pyx_r); + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + goto __pyx_L7_except_return; + } + goto __pyx_L6_except_error; + __pyx_L6_except_error:; + + /* "View.MemoryView":433 + * cdef is_slice(self, obj): + * if not isinstance(obj, memoryview): + * try: # <<<<<<<<<<<<<< + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * self.dtype_is_object) + */ + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_XGIVEREF(__pyx_t_4); + __Pyx_XGIVEREF(__pyx_t_5); + __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); + goto __pyx_L1_error; + __pyx_L7_except_return:; + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_XGIVEREF(__pyx_t_4); + __Pyx_XGIVEREF(__pyx_t_5); + __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); + goto __pyx_L0; + __pyx_L9_try_end:; + } + + /* "View.MemoryView":432 + * + * cdef is_slice(self, obj): + * if not isinstance(obj, memoryview): # <<<<<<<<<<<<<< + * try: + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + */ + } + + /* "View.MemoryView":439 + * return None + * + * return obj # <<<<<<<<<<<<<< + * + * cdef setitem_slice_assignment(self, dst, src): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_obj); + __pyx_r = __pyx_v_obj; + goto __pyx_L0; + + /* "View.MemoryView":431 + * self.setitem_indexed(index, value) + * + * cdef is_slice(self, obj): # <<<<<<<<<<<<<< + * if not isinstance(obj, memoryview): + * try: + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("View.MemoryView.memoryview.is_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_obj); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":441 + * return obj + * + * cdef setitem_slice_assignment(self, dst, src): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice dst_slice + * cdef __Pyx_memviewslice src_slice + */ + +static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src) { + __Pyx_memviewslice __pyx_v_dst_slice; + __Pyx_memviewslice __pyx_v_src_slice; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_memviewslice *__pyx_t_1; + __Pyx_memviewslice *__pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + int __pyx_t_5; + int __pyx_t_6; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("setitem_slice_assignment", 0); + + /* "View.MemoryView":445 + * cdef __Pyx_memviewslice src_slice + * + * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], # <<<<<<<<<<<<<< + * get_slice_from_memview(dst, &dst_slice)[0], + * src.ndim, dst.ndim, self.dtype_is_object) + */ + if (!(likely(((__pyx_v_src) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_src, __pyx_memoryview_type))))) __PYX_ERR(2, 445, __pyx_L1_error) + __pyx_t_1 = __pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_src), (&__pyx_v_src_slice)); if (unlikely(__pyx_t_1 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 445, __pyx_L1_error) + + /* "View.MemoryView":446 + * + * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], + * get_slice_from_memview(dst, &dst_slice)[0], # <<<<<<<<<<<<<< + * src.ndim, dst.ndim, self.dtype_is_object) + * + */ + if (!(likely(((__pyx_v_dst) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_dst, __pyx_memoryview_type))))) __PYX_ERR(2, 446, __pyx_L1_error) + __pyx_t_2 = __pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_dst), (&__pyx_v_dst_slice)); if (unlikely(__pyx_t_2 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 446, __pyx_L1_error) + + /* "View.MemoryView":447 + * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], + * get_slice_from_memview(dst, &dst_slice)[0], + * src.ndim, dst.ndim, self.dtype_is_object) # <<<<<<<<<<<<<< + * + * cdef setitem_slice_assign_scalar(self, memoryview dst, value): + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_src, __pyx_n_s_ndim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 447, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 447, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_dst, __pyx_n_s_ndim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 447, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_5 == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 447, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "View.MemoryView":445 + * cdef __Pyx_memviewslice src_slice + * + * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], # <<<<<<<<<<<<<< + * get_slice_from_memview(dst, &dst_slice)[0], + * src.ndim, dst.ndim, self.dtype_is_object) + */ + __pyx_t_6 = __pyx_memoryview_copy_contents((__pyx_t_1[0]), (__pyx_t_2[0]), __pyx_t_4, __pyx_t_5, __pyx_v_self->dtype_is_object); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 445, __pyx_L1_error) + + /* "View.MemoryView":441 + * return obj + * + * cdef setitem_slice_assignment(self, dst, src): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice dst_slice + * cdef __Pyx_memviewslice src_slice + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assignment", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":449 + * src.ndim, dst.ndim, self.dtype_is_object) + * + * cdef setitem_slice_assign_scalar(self, memoryview dst, value): # <<<<<<<<<<<<<< + * cdef int array[128] + * cdef void *tmp = NULL + */ + +static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value) { + int __pyx_v_array[0x80]; + void *__pyx_v_tmp; + void *__pyx_v_item; + __Pyx_memviewslice *__pyx_v_dst_slice; + __Pyx_memviewslice __pyx_v_tmp_slice; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_memviewslice *__pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + int __pyx_t_5; + char const *__pyx_t_6; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + PyObject *__pyx_t_9 = NULL; + PyObject *__pyx_t_10 = NULL; + PyObject *__pyx_t_11 = NULL; + PyObject *__pyx_t_12 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("setitem_slice_assign_scalar", 0); + + /* "View.MemoryView":451 + * cdef setitem_slice_assign_scalar(self, memoryview dst, value): + * cdef int array[128] + * cdef void *tmp = NULL # <<<<<<<<<<<<<< + * cdef void *item + * + */ + __pyx_v_tmp = NULL; + + /* "View.MemoryView":456 + * cdef __Pyx_memviewslice *dst_slice + * cdef __Pyx_memviewslice tmp_slice + * dst_slice = get_slice_from_memview(dst, &tmp_slice) # <<<<<<<<<<<<<< + * + * if self.view.itemsize > sizeof(array): + */ + __pyx_t_1 = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_dst, (&__pyx_v_tmp_slice)); if (unlikely(__pyx_t_1 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 456, __pyx_L1_error) + __pyx_v_dst_slice = __pyx_t_1; + + /* "View.MemoryView":458 + * dst_slice = get_slice_from_memview(dst, &tmp_slice) + * + * if self.view.itemsize > sizeof(array): # <<<<<<<<<<<<<< + * tmp = PyMem_Malloc(self.view.itemsize) + * if tmp == NULL: + */ + __pyx_t_2 = ((((size_t)__pyx_v_self->view.itemsize) > (sizeof(__pyx_v_array))) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":459 + * + * if self.view.itemsize > sizeof(array): + * tmp = PyMem_Malloc(self.view.itemsize) # <<<<<<<<<<<<<< + * if tmp == NULL: + * raise MemoryError + */ + __pyx_v_tmp = PyMem_Malloc(__pyx_v_self->view.itemsize); + + /* "View.MemoryView":460 + * if self.view.itemsize > sizeof(array): + * tmp = PyMem_Malloc(self.view.itemsize) + * if tmp == NULL: # <<<<<<<<<<<<<< + * raise MemoryError + * item = tmp + */ + __pyx_t_2 = ((__pyx_v_tmp == NULL) != 0); + if (unlikely(__pyx_t_2)) { + + /* "View.MemoryView":461 + * tmp = PyMem_Malloc(self.view.itemsize) + * if tmp == NULL: + * raise MemoryError # <<<<<<<<<<<<<< + * item = tmp + * else: + */ + PyErr_NoMemory(); __PYX_ERR(2, 461, __pyx_L1_error) + + /* "View.MemoryView":460 + * if self.view.itemsize > sizeof(array): + * tmp = PyMem_Malloc(self.view.itemsize) + * if tmp == NULL: # <<<<<<<<<<<<<< + * raise MemoryError + * item = tmp + */ + } + + /* "View.MemoryView":462 + * if tmp == NULL: + * raise MemoryError + * item = tmp # <<<<<<<<<<<<<< + * else: + * item = array + */ + __pyx_v_item = __pyx_v_tmp; + + /* "View.MemoryView":458 + * dst_slice = get_slice_from_memview(dst, &tmp_slice) + * + * if self.view.itemsize > sizeof(array): # <<<<<<<<<<<<<< + * tmp = PyMem_Malloc(self.view.itemsize) + * if tmp == NULL: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":464 + * item = tmp + * else: + * item = array # <<<<<<<<<<<<<< + * + * try: + */ + /*else*/ { + __pyx_v_item = ((void *)__pyx_v_array); + } + __pyx_L3:; + + /* "View.MemoryView":466 + * item = array + * + * try: # <<<<<<<<<<<<<< + * if self.dtype_is_object: + * ( item)[0] = value + */ + /*try:*/ { + + /* "View.MemoryView":467 + * + * try: + * if self.dtype_is_object: # <<<<<<<<<<<<<< + * ( item)[0] = value + * else: + */ + __pyx_t_2 = (__pyx_v_self->dtype_is_object != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":468 + * try: + * if self.dtype_is_object: + * ( item)[0] = value # <<<<<<<<<<<<<< + * else: + * self.assign_item_from_object( item, value) + */ + (((PyObject **)__pyx_v_item)[0]) = ((PyObject *)__pyx_v_value); + + /* "View.MemoryView":467 + * + * try: + * if self.dtype_is_object: # <<<<<<<<<<<<<< + * ( item)[0] = value + * else: + */ + goto __pyx_L8; + } + + /* "View.MemoryView":470 + * ( item)[0] = value + * else: + * self.assign_item_from_object( item, value) # <<<<<<<<<<<<<< + * + * + */ + /*else*/ { + __pyx_t_3 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->assign_item_from_object(__pyx_v_self, ((char *)__pyx_v_item), __pyx_v_value); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 470, __pyx_L6_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } + __pyx_L8:; + + /* "View.MemoryView":474 + * + * + * if self.view.suboffsets != NULL: # <<<<<<<<<<<<<< + * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) + * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, + */ + __pyx_t_2 = ((__pyx_v_self->view.suboffsets != NULL) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":475 + * + * if self.view.suboffsets != NULL: + * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) # <<<<<<<<<<<<<< + * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, + * item, self.dtype_is_object) + */ + __pyx_t_3 = assert_direct_dimensions(__pyx_v_self->view.suboffsets, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 475, __pyx_L6_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "View.MemoryView":474 + * + * + * if self.view.suboffsets != NULL: # <<<<<<<<<<<<<< + * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) + * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, + */ + } + + /* "View.MemoryView":476 + * if self.view.suboffsets != NULL: + * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) + * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, # <<<<<<<<<<<<<< + * item, self.dtype_is_object) + * finally: + */ + __pyx_memoryview_slice_assign_scalar(__pyx_v_dst_slice, __pyx_v_dst->view.ndim, __pyx_v_self->view.itemsize, __pyx_v_item, __pyx_v_self->dtype_is_object); + } + + /* "View.MemoryView":479 + * item, self.dtype_is_object) + * finally: + * PyMem_Free(tmp) # <<<<<<<<<<<<<< + * + * cdef setitem_indexed(self, index, value): + */ + /*finally:*/ { + /*normal exit:*/{ + PyMem_Free(__pyx_v_tmp); + goto __pyx_L7; + } + __pyx_L6_error:; + /*exception exit:*/{ + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __pyx_t_7 = 0; __pyx_t_8 = 0; __pyx_t_9 = 0; __pyx_t_10 = 0; __pyx_t_11 = 0; __pyx_t_12 = 0; + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PY_MAJOR_VERSION >= 3) __Pyx_ExceptionSwap(&__pyx_t_10, &__pyx_t_11, &__pyx_t_12); + if ((PY_MAJOR_VERSION < 3) || unlikely(__Pyx_GetException(&__pyx_t_7, &__pyx_t_8, &__pyx_t_9) < 0)) __Pyx_ErrFetch(&__pyx_t_7, &__pyx_t_8, &__pyx_t_9); + __Pyx_XGOTREF(__pyx_t_7); + __Pyx_XGOTREF(__pyx_t_8); + __Pyx_XGOTREF(__pyx_t_9); + __Pyx_XGOTREF(__pyx_t_10); + __Pyx_XGOTREF(__pyx_t_11); + __Pyx_XGOTREF(__pyx_t_12); + __pyx_t_4 = __pyx_lineno; __pyx_t_5 = __pyx_clineno; __pyx_t_6 = __pyx_filename; + { + PyMem_Free(__pyx_v_tmp); + } + if (PY_MAJOR_VERSION >= 3) { + __Pyx_XGIVEREF(__pyx_t_10); + __Pyx_XGIVEREF(__pyx_t_11); + __Pyx_XGIVEREF(__pyx_t_12); + __Pyx_ExceptionReset(__pyx_t_10, __pyx_t_11, __pyx_t_12); + } + __Pyx_XGIVEREF(__pyx_t_7); + __Pyx_XGIVEREF(__pyx_t_8); + __Pyx_XGIVEREF(__pyx_t_9); + __Pyx_ErrRestore(__pyx_t_7, __pyx_t_8, __pyx_t_9); + __pyx_t_7 = 0; __pyx_t_8 = 0; __pyx_t_9 = 0; __pyx_t_10 = 0; __pyx_t_11 = 0; __pyx_t_12 = 0; + __pyx_lineno = __pyx_t_4; __pyx_clineno = __pyx_t_5; __pyx_filename = __pyx_t_6; + goto __pyx_L1_error; + } + __pyx_L7:; + } + + /* "View.MemoryView":449 + * src.ndim, dst.ndim, self.dtype_is_object) + * + * cdef setitem_slice_assign_scalar(self, memoryview dst, value): # <<<<<<<<<<<<<< + * cdef int array[128] + * cdef void *tmp = NULL + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assign_scalar", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":481 + * PyMem_Free(tmp) + * + * cdef setitem_indexed(self, index, value): # <<<<<<<<<<<<<< + * cdef char *itemp = self.get_item_pointer(index) + * self.assign_item_from_object(itemp, value) + */ + +static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { + char *__pyx_v_itemp; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + char *__pyx_t_1; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("setitem_indexed", 0); + + /* "View.MemoryView":482 + * + * cdef setitem_indexed(self, index, value): + * cdef char *itemp = self.get_item_pointer(index) # <<<<<<<<<<<<<< + * self.assign_item_from_object(itemp, value) + * + */ + __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->get_item_pointer(__pyx_v_self, __pyx_v_index); if (unlikely(__pyx_t_1 == ((char *)NULL))) __PYX_ERR(2, 482, __pyx_L1_error) + __pyx_v_itemp = __pyx_t_1; + + /* "View.MemoryView":483 + * cdef setitem_indexed(self, index, value): + * cdef char *itemp = self.get_item_pointer(index) + * self.assign_item_from_object(itemp, value) # <<<<<<<<<<<<<< + * + * cdef convert_item_to_object(self, char *itemp): + */ + __pyx_t_2 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->assign_item_from_object(__pyx_v_self, __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "View.MemoryView":481 + * PyMem_Free(tmp) + * + * cdef setitem_indexed(self, index, value): # <<<<<<<<<<<<<< + * cdef char *itemp = self.get_item_pointer(index) + * self.assign_item_from_object(itemp, value) + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_indexed", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":485 + * self.assign_item_from_object(itemp, value) + * + * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< + * """Only used if instantiated manually by the user, or if Cython doesn't + * know how to convert the type""" + */ + +static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp) { + PyObject *__pyx_v_struct = NULL; + PyObject *__pyx_v_bytesitem = 0; + PyObject *__pyx_v_result = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + int __pyx_t_8; + PyObject *__pyx_t_9 = NULL; + size_t __pyx_t_10; + int __pyx_t_11; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("convert_item_to_object", 0); + + /* "View.MemoryView":488 + * """Only used if instantiated manually by the user, or if Cython doesn't + * know how to convert the type""" + * import struct # <<<<<<<<<<<<<< + * cdef bytes bytesitem + * + */ + __pyx_t_1 = __Pyx_Import(__pyx_n_s_struct, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 488, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_struct = __pyx_t_1; + __pyx_t_1 = 0; + + /* "View.MemoryView":491 + * cdef bytes bytesitem + * + * bytesitem = itemp[:self.view.itemsize] # <<<<<<<<<<<<<< + * try: + * result = struct.unpack(self.view.format, bytesitem) + */ + __pyx_t_1 = __Pyx_PyBytes_FromStringAndSize(__pyx_v_itemp + 0, __pyx_v_self->view.itemsize - 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 491, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_bytesitem = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + + /* "View.MemoryView":492 + * + * bytesitem = itemp[:self.view.itemsize] + * try: # <<<<<<<<<<<<<< + * result = struct.unpack(self.view.format, bytesitem) + * except struct.error: + */ + { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ExceptionSave(&__pyx_t_2, &__pyx_t_3, &__pyx_t_4); + __Pyx_XGOTREF(__pyx_t_2); + __Pyx_XGOTREF(__pyx_t_3); + __Pyx_XGOTREF(__pyx_t_4); + /*try:*/ { + + /* "View.MemoryView":493 + * bytesitem = itemp[:self.view.itemsize] + * try: + * result = struct.unpack(self.view.format, bytesitem) # <<<<<<<<<<<<<< + * except struct.error: + * raise ValueError("Unable to convert item to object") + */ + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s_unpack); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 493, __pyx_L3_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_6 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 493, __pyx_L3_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = NULL; + __pyx_t_8 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_7)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_7); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + __pyx_t_8 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_5)) { + PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_t_6, __pyx_v_bytesitem}; + __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 493, __pyx_L3_error) + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) { + PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_t_6, __pyx_v_bytesitem}; + __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 493, __pyx_L3_error) + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } else + #endif + { + __pyx_t_9 = PyTuple_New(2+__pyx_t_8); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 493, __pyx_L3_error) + __Pyx_GOTREF(__pyx_t_9); + if (__pyx_t_7) { + __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_7); __pyx_t_7 = NULL; + } + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_9, 0+__pyx_t_8, __pyx_t_6); + __Pyx_INCREF(__pyx_v_bytesitem); + __Pyx_GIVEREF(__pyx_v_bytesitem); + PyTuple_SET_ITEM(__pyx_t_9, 1+__pyx_t_8, __pyx_v_bytesitem); + __pyx_t_6 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_9, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 493, __pyx_L3_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_v_result = __pyx_t_1; + __pyx_t_1 = 0; + + /* "View.MemoryView":492 + * + * bytesitem = itemp[:self.view.itemsize] + * try: # <<<<<<<<<<<<<< + * result = struct.unpack(self.view.format, bytesitem) + * except struct.error: + */ + } + + /* "View.MemoryView":497 + * raise ValueError("Unable to convert item to object") + * else: + * if len(self.view.format) == 1: # <<<<<<<<<<<<<< + * return result[0] + * return result + */ + /*else:*/ { + __pyx_t_10 = strlen(__pyx_v_self->view.format); + __pyx_t_11 = ((__pyx_t_10 == 1) != 0); + if (__pyx_t_11) { + + /* "View.MemoryView":498 + * else: + * if len(self.view.format) == 1: + * return result[0] # <<<<<<<<<<<<<< + * return result + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_GetItemInt(__pyx_v_result, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 498, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L6_except_return; + + /* "View.MemoryView":497 + * raise ValueError("Unable to convert item to object") + * else: + * if len(self.view.format) == 1: # <<<<<<<<<<<<<< + * return result[0] + * return result + */ + } + + /* "View.MemoryView":499 + * if len(self.view.format) == 1: + * return result[0] + * return result # <<<<<<<<<<<<<< + * + * cdef assign_item_from_object(self, char *itemp, object value): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_result); + __pyx_r = __pyx_v_result; + goto __pyx_L6_except_return; + } + __pyx_L3_error:; + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0; + + /* "View.MemoryView":494 + * try: + * result = struct.unpack(self.view.format, bytesitem) + * except struct.error: # <<<<<<<<<<<<<< + * raise ValueError("Unable to convert item to object") + * else: + */ + __Pyx_ErrFetch(&__pyx_t_1, &__pyx_t_5, &__pyx_t_9); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s_error); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 494, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_8 = __Pyx_PyErr_GivenExceptionMatches(__pyx_t_1, __pyx_t_6); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_ErrRestore(__pyx_t_1, __pyx_t_5, __pyx_t_9); + __pyx_t_1 = 0; __pyx_t_5 = 0; __pyx_t_9 = 0; + if (__pyx_t_8) { + __Pyx_AddTraceback("View.MemoryView.memoryview.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); + if (__Pyx_GetException(&__pyx_t_9, &__pyx_t_5, &__pyx_t_1) < 0) __PYX_ERR(2, 494, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GOTREF(__pyx_t_1); + + /* "View.MemoryView":495 + * result = struct.unpack(self.view.format, bytesitem) + * except struct.error: + * raise ValueError("Unable to convert item to object") # <<<<<<<<<<<<<< + * else: + * if len(self.view.format) == 1: + */ + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__26, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 495, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_Raise(__pyx_t_6, 0, 0, 0); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __PYX_ERR(2, 495, __pyx_L5_except_error) + } + goto __pyx_L5_except_error; + __pyx_L5_except_error:; + + /* "View.MemoryView":492 + * + * bytesitem = itemp[:self.view.itemsize] + * try: # <<<<<<<<<<<<<< + * result = struct.unpack(self.view.format, bytesitem) + * except struct.error: + */ + __Pyx_XGIVEREF(__pyx_t_2); + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_XGIVEREF(__pyx_t_4); + __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); + goto __pyx_L1_error; + __pyx_L6_except_return:; + __Pyx_XGIVEREF(__pyx_t_2); + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_XGIVEREF(__pyx_t_4); + __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); + goto __pyx_L0; + } + + /* "View.MemoryView":485 + * self.assign_item_from_object(itemp, value) + * + * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< + * """Only used if instantiated manually by the user, or if Cython doesn't + * know how to convert the type""" + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_9); + __Pyx_AddTraceback("View.MemoryView.memoryview.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_struct); + __Pyx_XDECREF(__pyx_v_bytesitem); + __Pyx_XDECREF(__pyx_v_result); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":501 + * return result + * + * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< + * """Only used if instantiated manually by the user, or if Cython doesn't + * know how to convert the type""" + */ + +static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value) { + PyObject *__pyx_v_struct = NULL; + char __pyx_v_c; + PyObject *__pyx_v_bytesvalue = 0; + Py_ssize_t __pyx_v_i; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + int __pyx_t_3; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + int __pyx_t_7; + PyObject *__pyx_t_8 = NULL; + Py_ssize_t __pyx_t_9; + PyObject *__pyx_t_10 = NULL; + char *__pyx_t_11; + char *__pyx_t_12; + char *__pyx_t_13; + char *__pyx_t_14; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("assign_item_from_object", 0); + + /* "View.MemoryView":504 + * """Only used if instantiated manually by the user, or if Cython doesn't + * know how to convert the type""" + * import struct # <<<<<<<<<<<<<< + * cdef char c + * cdef bytes bytesvalue + */ + __pyx_t_1 = __Pyx_Import(__pyx_n_s_struct, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 504, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_struct = __pyx_t_1; + __pyx_t_1 = 0; + + /* "View.MemoryView":509 + * cdef Py_ssize_t i + * + * if isinstance(value, tuple): # <<<<<<<<<<<<<< + * bytesvalue = struct.pack(self.view.format, *value) + * else: + */ + __pyx_t_2 = PyTuple_Check(__pyx_v_value); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + + /* "View.MemoryView":510 + * + * if isinstance(value, tuple): + * bytesvalue = struct.pack(self.view.format, *value) # <<<<<<<<<<<<<< + * else: + * bytesvalue = struct.pack(self.view.format, value) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s_pack); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 510, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 510, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 510, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_4); + __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PySequence_Tuple(__pyx_v_value); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 510, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_6 = PyNumber_Add(__pyx_t_5, __pyx_t_4); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 510, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 510, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (!(likely(PyBytes_CheckExact(__pyx_t_4))||((__pyx_t_4) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "bytes", Py_TYPE(__pyx_t_4)->tp_name), 0))) __PYX_ERR(2, 510, __pyx_L1_error) + __pyx_v_bytesvalue = ((PyObject*)__pyx_t_4); + __pyx_t_4 = 0; + + /* "View.MemoryView":509 + * cdef Py_ssize_t i + * + * if isinstance(value, tuple): # <<<<<<<<<<<<<< + * bytesvalue = struct.pack(self.view.format, *value) + * else: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":512 + * bytesvalue = struct.pack(self.view.format, *value) + * else: + * bytesvalue = struct.pack(self.view.format, value) # <<<<<<<<<<<<<< + * + * for i, c in enumerate(bytesvalue): + */ + /*else*/ { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s_pack); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = NULL; + __pyx_t_7 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_6); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_6, function); + __pyx_t_7 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_6)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_1, __pyx_v_value}; + __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 512, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_1, __pyx_v_value}; + __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 512, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else + #endif + { + __pyx_t_8 = PyTuple_New(2+__pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(2, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + if (__pyx_t_5) { + __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_5); __pyx_t_5 = NULL; + } + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_7, __pyx_t_1); + __Pyx_INCREF(__pyx_v_value); + __Pyx_GIVEREF(__pyx_v_value); + PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_7, __pyx_v_value); + __pyx_t_1 = 0; + __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_8, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + } + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (!(likely(PyBytes_CheckExact(__pyx_t_4))||((__pyx_t_4) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "bytes", Py_TYPE(__pyx_t_4)->tp_name), 0))) __PYX_ERR(2, 512, __pyx_L1_error) + __pyx_v_bytesvalue = ((PyObject*)__pyx_t_4); + __pyx_t_4 = 0; + } + __pyx_L3:; + + /* "View.MemoryView":514 + * bytesvalue = struct.pack(self.view.format, value) + * + * for i, c in enumerate(bytesvalue): # <<<<<<<<<<<<<< + * itemp[i] = c + * + */ + __pyx_t_9 = 0; + if (unlikely(__pyx_v_bytesvalue == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' is not iterable"); + __PYX_ERR(2, 514, __pyx_L1_error) + } + __Pyx_INCREF(__pyx_v_bytesvalue); + __pyx_t_10 = __pyx_v_bytesvalue; + __pyx_t_12 = PyBytes_AS_STRING(__pyx_t_10); + __pyx_t_13 = (__pyx_t_12 + PyBytes_GET_SIZE(__pyx_t_10)); + for (__pyx_t_14 = __pyx_t_12; __pyx_t_14 < __pyx_t_13; __pyx_t_14++) { + __pyx_t_11 = __pyx_t_14; + __pyx_v_c = (__pyx_t_11[0]); + + /* "View.MemoryView":515 + * + * for i, c in enumerate(bytesvalue): + * itemp[i] = c # <<<<<<<<<<<<<< + * + * @cname('getbuffer') + */ + __pyx_v_i = __pyx_t_9; + + /* "View.MemoryView":514 + * bytesvalue = struct.pack(self.view.format, value) + * + * for i, c in enumerate(bytesvalue): # <<<<<<<<<<<<<< + * itemp[i] = c + * + */ + __pyx_t_9 = (__pyx_t_9 + 1); + + /* "View.MemoryView":515 + * + * for i, c in enumerate(bytesvalue): + * itemp[i] = c # <<<<<<<<<<<<<< + * + * @cname('getbuffer') + */ + (__pyx_v_itemp[__pyx_v_i]) = __pyx_v_c; + } + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + + /* "View.MemoryView":501 + * return result + * + * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< + * """Only used if instantiated manually by the user, or if Cython doesn't + * know how to convert the type""" + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_10); + __Pyx_AddTraceback("View.MemoryView.memoryview.assign_item_from_object", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_struct); + __Pyx_XDECREF(__pyx_v_bytesvalue); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":518 + * + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< + * if flags & PyBUF_WRITABLE and self.view.readonly: + * raise ValueError("Cannot create writable memory view from read-only memoryview") + */ + +/* Python wrapper */ +static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + Py_ssize_t *__pyx_t_4; + char *__pyx_t_5; + void *__pyx_t_6; + int __pyx_t_7; + Py_ssize_t __pyx_t_8; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + if (__pyx_v_info == NULL) { + PyErr_SetString(PyExc_BufferError, "PyObject_GetBuffer: view==NULL argument is obsolete"); + return -1; + } + __Pyx_RefNannySetupContext("__getbuffer__", 0); + __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(__pyx_v_info->obj); + + /* "View.MemoryView":519 + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): + * if flags & PyBUF_WRITABLE and self.view.readonly: # <<<<<<<<<<<<<< + * raise ValueError("Cannot create writable memory view from read-only memoryview") + * + */ + __pyx_t_2 = ((__pyx_v_flags & PyBUF_WRITABLE) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L4_bool_binop_done; + } + __pyx_t_2 = (__pyx_v_self->view.readonly != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L4_bool_binop_done:; + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":520 + * def __getbuffer__(self, Py_buffer *info, int flags): + * if flags & PyBUF_WRITABLE and self.view.readonly: + * raise ValueError("Cannot create writable memory view from read-only memoryview") # <<<<<<<<<<<<<< + * + * if flags & PyBUF_ND: + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__27, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 520, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 520, __pyx_L1_error) + + /* "View.MemoryView":519 + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): + * if flags & PyBUF_WRITABLE and self.view.readonly: # <<<<<<<<<<<<<< + * raise ValueError("Cannot create writable memory view from read-only memoryview") + * + */ + } + + /* "View.MemoryView":522 + * raise ValueError("Cannot create writable memory view from read-only memoryview") + * + * if flags & PyBUF_ND: # <<<<<<<<<<<<<< + * info.shape = self.view.shape + * else: + */ + __pyx_t_1 = ((__pyx_v_flags & PyBUF_ND) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":523 + * + * if flags & PyBUF_ND: + * info.shape = self.view.shape # <<<<<<<<<<<<<< + * else: + * info.shape = NULL + */ + __pyx_t_4 = __pyx_v_self->view.shape; + __pyx_v_info->shape = __pyx_t_4; + + /* "View.MemoryView":522 + * raise ValueError("Cannot create writable memory view from read-only memoryview") + * + * if flags & PyBUF_ND: # <<<<<<<<<<<<<< + * info.shape = self.view.shape + * else: + */ + goto __pyx_L6; + } + + /* "View.MemoryView":525 + * info.shape = self.view.shape + * else: + * info.shape = NULL # <<<<<<<<<<<<<< + * + * if flags & PyBUF_STRIDES: + */ + /*else*/ { + __pyx_v_info->shape = NULL; + } + __pyx_L6:; + + /* "View.MemoryView":527 + * info.shape = NULL + * + * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< + * info.strides = self.view.strides + * else: + */ + __pyx_t_1 = ((__pyx_v_flags & PyBUF_STRIDES) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":528 + * + * if flags & PyBUF_STRIDES: + * info.strides = self.view.strides # <<<<<<<<<<<<<< + * else: + * info.strides = NULL + */ + __pyx_t_4 = __pyx_v_self->view.strides; + __pyx_v_info->strides = __pyx_t_4; + + /* "View.MemoryView":527 + * info.shape = NULL + * + * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< + * info.strides = self.view.strides + * else: + */ + goto __pyx_L7; + } + + /* "View.MemoryView":530 + * info.strides = self.view.strides + * else: + * info.strides = NULL # <<<<<<<<<<<<<< + * + * if flags & PyBUF_INDIRECT: + */ + /*else*/ { + __pyx_v_info->strides = NULL; + } + __pyx_L7:; + + /* "View.MemoryView":532 + * info.strides = NULL + * + * if flags & PyBUF_INDIRECT: # <<<<<<<<<<<<<< + * info.suboffsets = self.view.suboffsets + * else: + */ + __pyx_t_1 = ((__pyx_v_flags & PyBUF_INDIRECT) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":533 + * + * if flags & PyBUF_INDIRECT: + * info.suboffsets = self.view.suboffsets # <<<<<<<<<<<<<< + * else: + * info.suboffsets = NULL + */ + __pyx_t_4 = __pyx_v_self->view.suboffsets; + __pyx_v_info->suboffsets = __pyx_t_4; + + /* "View.MemoryView":532 + * info.strides = NULL + * + * if flags & PyBUF_INDIRECT: # <<<<<<<<<<<<<< + * info.suboffsets = self.view.suboffsets + * else: + */ + goto __pyx_L8; + } + + /* "View.MemoryView":535 + * info.suboffsets = self.view.suboffsets + * else: + * info.suboffsets = NULL # <<<<<<<<<<<<<< + * + * if flags & PyBUF_FORMAT: + */ + /*else*/ { + __pyx_v_info->suboffsets = NULL; + } + __pyx_L8:; + + /* "View.MemoryView":537 + * info.suboffsets = NULL + * + * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< + * info.format = self.view.format + * else: + */ + __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":538 + * + * if flags & PyBUF_FORMAT: + * info.format = self.view.format # <<<<<<<<<<<<<< + * else: + * info.format = NULL + */ + __pyx_t_5 = __pyx_v_self->view.format; + __pyx_v_info->format = __pyx_t_5; + + /* "View.MemoryView":537 + * info.suboffsets = NULL + * + * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< + * info.format = self.view.format + * else: + */ + goto __pyx_L9; + } + + /* "View.MemoryView":540 + * info.format = self.view.format + * else: + * info.format = NULL # <<<<<<<<<<<<<< + * + * info.buf = self.view.buf + */ + /*else*/ { + __pyx_v_info->format = NULL; + } + __pyx_L9:; + + /* "View.MemoryView":542 + * info.format = NULL + * + * info.buf = self.view.buf # <<<<<<<<<<<<<< + * info.ndim = self.view.ndim + * info.itemsize = self.view.itemsize + */ + __pyx_t_6 = __pyx_v_self->view.buf; + __pyx_v_info->buf = __pyx_t_6; + + /* "View.MemoryView":543 + * + * info.buf = self.view.buf + * info.ndim = self.view.ndim # <<<<<<<<<<<<<< + * info.itemsize = self.view.itemsize + * info.len = self.view.len + */ + __pyx_t_7 = __pyx_v_self->view.ndim; + __pyx_v_info->ndim = __pyx_t_7; + + /* "View.MemoryView":544 + * info.buf = self.view.buf + * info.ndim = self.view.ndim + * info.itemsize = self.view.itemsize # <<<<<<<<<<<<<< + * info.len = self.view.len + * info.readonly = self.view.readonly + */ + __pyx_t_8 = __pyx_v_self->view.itemsize; + __pyx_v_info->itemsize = __pyx_t_8; + + /* "View.MemoryView":545 + * info.ndim = self.view.ndim + * info.itemsize = self.view.itemsize + * info.len = self.view.len # <<<<<<<<<<<<<< + * info.readonly = self.view.readonly + * info.obj = self + */ + __pyx_t_8 = __pyx_v_self->view.len; + __pyx_v_info->len = __pyx_t_8; + + /* "View.MemoryView":546 + * info.itemsize = self.view.itemsize + * info.len = self.view.len + * info.readonly = self.view.readonly # <<<<<<<<<<<<<< + * info.obj = self + * + */ + __pyx_t_1 = __pyx_v_self->view.readonly; + __pyx_v_info->readonly = __pyx_t_1; + + /* "View.MemoryView":547 + * info.len = self.view.len + * info.readonly = self.view.readonly + * info.obj = self # <<<<<<<<<<<<<< + * + * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") + */ + __Pyx_INCREF(((PyObject *)__pyx_v_self)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); + __pyx_v_info->obj = ((PyObject *)__pyx_v_self); + + /* "View.MemoryView":518 + * + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< + * if flags & PyBUF_WRITABLE and self.view.readonly: + * raise ValueError("Cannot create writable memory view from read-only memoryview") + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + if (__pyx_v_info->obj != NULL) { + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0; + } + goto __pyx_L2; + __pyx_L0:; + if (__pyx_v_info->obj == Py_None) { + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0; + } + __pyx_L2:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":553 + * + * @property + * def T(self): # <<<<<<<<<<<<<< + * cdef _memoryviewslice result = memoryview_copy(self) + * transpose_memslice(&result.from_slice) + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + struct __pyx_memoryviewslice_obj *__pyx_v_result = 0; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":554 + * @property + * def T(self): + * cdef _memoryviewslice result = memoryview_copy(self) # <<<<<<<<<<<<<< + * transpose_memslice(&result.from_slice) + * return result + */ + __pyx_t_1 = __pyx_memoryview_copy_object(__pyx_v_self); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_memoryviewslice_type))))) __PYX_ERR(2, 554, __pyx_L1_error) + __pyx_v_result = ((struct __pyx_memoryviewslice_obj *)__pyx_t_1); + __pyx_t_1 = 0; + + /* "View.MemoryView":555 + * def T(self): + * cdef _memoryviewslice result = memoryview_copy(self) + * transpose_memslice(&result.from_slice) # <<<<<<<<<<<<<< + * return result + * + */ + __pyx_t_2 = __pyx_memslice_transpose((&__pyx_v_result->from_slice)); if (unlikely(__pyx_t_2 == ((int)0))) __PYX_ERR(2, 555, __pyx_L1_error) + + /* "View.MemoryView":556 + * cdef _memoryviewslice result = memoryview_copy(self) + * transpose_memslice(&result.from_slice) + * return result # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(((PyObject *)__pyx_v_result)); + __pyx_r = ((PyObject *)__pyx_v_result); + goto __pyx_L0; + + /* "View.MemoryView":553 + * + * @property + * def T(self): # <<<<<<<<<<<<<< + * cdef _memoryviewslice result = memoryview_copy(self) + * transpose_memslice(&result.from_slice) + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.memoryview.T.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_result); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":559 + * + * @property + * def base(self): # <<<<<<<<<<<<<< + * return self.obj + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":560 + * @property + * def base(self): + * return self.obj # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_self->obj); + __pyx_r = __pyx_v_self->obj; + goto __pyx_L0; + + /* "View.MemoryView":559 + * + * @property + * def base(self): # <<<<<<<<<<<<<< + * return self.obj + * + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":563 + * + * @property + * def shape(self): # <<<<<<<<<<<<<< + * return tuple([length for length in self.view.shape[:self.view.ndim]]) + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + Py_ssize_t __pyx_v_length; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + Py_ssize_t *__pyx_t_2; + Py_ssize_t *__pyx_t_3; + Py_ssize_t *__pyx_t_4; + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":564 + * @property + * def shape(self): + * return tuple([length for length in self.view.shape[:self.view.ndim]]) # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 564, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = (__pyx_v_self->view.shape + __pyx_v_self->view.ndim); + for (__pyx_t_4 = __pyx_v_self->view.shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) { + __pyx_t_2 = __pyx_t_4; + __pyx_v_length = (__pyx_t_2[0]); + __pyx_t_5 = PyInt_FromSsize_t(__pyx_v_length); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 564, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_5))) __PYX_ERR(2, 564, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + } + __pyx_t_5 = PyList_AsTuple(((PyObject*)__pyx_t_1)); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 564, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_r = __pyx_t_5; + __pyx_t_5 = 0; + goto __pyx_L0; + + /* "View.MemoryView":563 + * + * @property + * def shape(self): # <<<<<<<<<<<<<< + * return tuple([length for length in self.view.shape[:self.view.ndim]]) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.memoryview.shape.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":567 + * + * @property + * def strides(self): # <<<<<<<<<<<<<< + * if self.view.strides == NULL: + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + Py_ssize_t __pyx_v_stride; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + Py_ssize_t *__pyx_t_3; + Py_ssize_t *__pyx_t_4; + Py_ssize_t *__pyx_t_5; + PyObject *__pyx_t_6 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":568 + * @property + * def strides(self): + * if self.view.strides == NULL: # <<<<<<<<<<<<<< + * + * raise ValueError("Buffer view does not expose strides") + */ + __pyx_t_1 = ((__pyx_v_self->view.strides == NULL) != 0); + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":570 + * if self.view.strides == NULL: + * + * raise ValueError("Buffer view does not expose strides") # <<<<<<<<<<<<<< + * + * return tuple([stride for stride in self.view.strides[:self.view.ndim]]) + */ + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__28, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 570, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_Raise(__pyx_t_2, 0, 0, 0); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __PYX_ERR(2, 570, __pyx_L1_error) + + /* "View.MemoryView":568 + * @property + * def strides(self): + * if self.view.strides == NULL: # <<<<<<<<<<<<<< + * + * raise ValueError("Buffer view does not expose strides") + */ + } + + /* "View.MemoryView":572 + * raise ValueError("Buffer view does not expose strides") + * + * return tuple([stride for stride in self.view.strides[:self.view.ndim]]) # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 572, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = (__pyx_v_self->view.strides + __pyx_v_self->view.ndim); + for (__pyx_t_5 = __pyx_v_self->view.strides; __pyx_t_5 < __pyx_t_4; __pyx_t_5++) { + __pyx_t_3 = __pyx_t_5; + __pyx_v_stride = (__pyx_t_3[0]); + __pyx_t_6 = PyInt_FromSsize_t(__pyx_v_stride); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 572, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + if (unlikely(__Pyx_ListComp_Append(__pyx_t_2, (PyObject*)__pyx_t_6))) __PYX_ERR(2, 572, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } + __pyx_t_6 = PyList_AsTuple(((PyObject*)__pyx_t_2)); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 572, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_r = __pyx_t_6; + __pyx_t_6 = 0; + goto __pyx_L0; + + /* "View.MemoryView":567 + * + * @property + * def strides(self): # <<<<<<<<<<<<<< + * if self.view.strides == NULL: + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_AddTraceback("View.MemoryView.memoryview.strides.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":575 + * + * @property + * def suboffsets(self): # <<<<<<<<<<<<<< + * if self.view.suboffsets == NULL: + * return (-1,) * self.view.ndim + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + Py_ssize_t __pyx_v_suboffset; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + Py_ssize_t *__pyx_t_4; + Py_ssize_t *__pyx_t_5; + Py_ssize_t *__pyx_t_6; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":576 + * @property + * def suboffsets(self): + * if self.view.suboffsets == NULL: # <<<<<<<<<<<<<< + * return (-1,) * self.view.ndim + * + */ + __pyx_t_1 = ((__pyx_v_self->view.suboffsets == NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":577 + * def suboffsets(self): + * if self.view.suboffsets == NULL: + * return (-1,) * self.view.ndim # <<<<<<<<<<<<<< + * + * return tuple([suboffset for suboffset in self.view.suboffsets[:self.view.ndim]]) + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __Pyx_PyInt_From_int(__pyx_v_self->view.ndim); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 577, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyNumber_Multiply(__pyx_tuple__29, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 577, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_r = __pyx_t_3; + __pyx_t_3 = 0; + goto __pyx_L0; + + /* "View.MemoryView":576 + * @property + * def suboffsets(self): + * if self.view.suboffsets == NULL: # <<<<<<<<<<<<<< + * return (-1,) * self.view.ndim + * + */ + } + + /* "View.MemoryView":579 + * return (-1,) * self.view.ndim + * + * return tuple([suboffset for suboffset in self.view.suboffsets[:self.view.ndim]]) # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 579, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = (__pyx_v_self->view.suboffsets + __pyx_v_self->view.ndim); + for (__pyx_t_6 = __pyx_v_self->view.suboffsets; __pyx_t_6 < __pyx_t_5; __pyx_t_6++) { + __pyx_t_4 = __pyx_t_6; + __pyx_v_suboffset = (__pyx_t_4[0]); + __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_suboffset); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 579, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (unlikely(__Pyx_ListComp_Append(__pyx_t_3, (PyObject*)__pyx_t_2))) __PYX_ERR(2, 579, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } + __pyx_t_2 = PyList_AsTuple(((PyObject*)__pyx_t_3)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 579, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":575 + * + * @property + * def suboffsets(self): # <<<<<<<<<<<<<< + * if self.view.suboffsets == NULL: + * return (-1,) * self.view.ndim + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview.suboffsets.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":582 + * + * @property + * def ndim(self): # <<<<<<<<<<<<<< + * return self.view.ndim + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":583 + * @property + * def ndim(self): + * return self.view.ndim # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_self->view.ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 583, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "View.MemoryView":582 + * + * @property + * def ndim(self): # <<<<<<<<<<<<<< + * return self.view.ndim + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.memoryview.ndim.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":586 + * + * @property + * def itemsize(self): # <<<<<<<<<<<<<< + * return self.view.itemsize + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":587 + * @property + * def itemsize(self): + * return self.view.itemsize # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyInt_FromSsize_t(__pyx_v_self->view.itemsize); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 587, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "View.MemoryView":586 + * + * @property + * def itemsize(self): # <<<<<<<<<<<<<< + * return self.view.itemsize + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.memoryview.itemsize.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":590 + * + * @property + * def nbytes(self): # <<<<<<<<<<<<<< + * return self.size * self.view.itemsize + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":591 + * @property + * def nbytes(self): + * return self.size * self.view.itemsize # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_size); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 591, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_self->view.itemsize); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 591, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyNumber_Multiply(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 591, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_r = __pyx_t_3; + __pyx_t_3 = 0; + goto __pyx_L0; + + /* "View.MemoryView":590 + * + * @property + * def nbytes(self): # <<<<<<<<<<<<<< + * return self.size * self.view.itemsize + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview.nbytes.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":594 + * + * @property + * def size(self): # <<<<<<<<<<<<<< + * if self._size is None: + * result = 1 + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_v_result = NULL; + PyObject *__pyx_v_length = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + Py_ssize_t *__pyx_t_3; + Py_ssize_t *__pyx_t_4; + Py_ssize_t *__pyx_t_5; + PyObject *__pyx_t_6 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":595 + * @property + * def size(self): + * if self._size is None: # <<<<<<<<<<<<<< + * result = 1 + * + */ + __pyx_t_1 = (__pyx_v_self->_size == Py_None); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":596 + * def size(self): + * if self._size is None: + * result = 1 # <<<<<<<<<<<<<< + * + * for length in self.view.shape[:self.view.ndim]: + */ + __Pyx_INCREF(__pyx_int_1); + __pyx_v_result = __pyx_int_1; + + /* "View.MemoryView":598 + * result = 1 + * + * for length in self.view.shape[:self.view.ndim]: # <<<<<<<<<<<<<< + * result *= length + * + */ + __pyx_t_4 = (__pyx_v_self->view.shape + __pyx_v_self->view.ndim); + for (__pyx_t_5 = __pyx_v_self->view.shape; __pyx_t_5 < __pyx_t_4; __pyx_t_5++) { + __pyx_t_3 = __pyx_t_5; + __pyx_t_6 = PyInt_FromSsize_t((__pyx_t_3[0])); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 598, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_XDECREF_SET(__pyx_v_length, __pyx_t_6); + __pyx_t_6 = 0; + + /* "View.MemoryView":599 + * + * for length in self.view.shape[:self.view.ndim]: + * result *= length # <<<<<<<<<<<<<< + * + * self._size = result + */ + __pyx_t_6 = PyNumber_InPlaceMultiply(__pyx_v_result, __pyx_v_length); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 599, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF_SET(__pyx_v_result, __pyx_t_6); + __pyx_t_6 = 0; + } + + /* "View.MemoryView":601 + * result *= length + * + * self._size = result # <<<<<<<<<<<<<< + * + * return self._size + */ + __Pyx_INCREF(__pyx_v_result); + __Pyx_GIVEREF(__pyx_v_result); + __Pyx_GOTREF(__pyx_v_self->_size); + __Pyx_DECREF(__pyx_v_self->_size); + __pyx_v_self->_size = __pyx_v_result; + + /* "View.MemoryView":595 + * @property + * def size(self): + * if self._size is None: # <<<<<<<<<<<<<< + * result = 1 + * + */ + } + + /* "View.MemoryView":603 + * self._size = result + * + * return self._size # <<<<<<<<<<<<<< + * + * def __len__(self): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_self->_size); + __pyx_r = __pyx_v_self->_size; + goto __pyx_L0; + + /* "View.MemoryView":594 + * + * @property + * def size(self): # <<<<<<<<<<<<<< + * if self._size is None: + * result = 1 + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_6); + __Pyx_AddTraceback("View.MemoryView.memoryview.size.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_result); + __Pyx_XDECREF(__pyx_v_length); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":605 + * return self._size + * + * def __len__(self): # <<<<<<<<<<<<<< + * if self.view.ndim >= 1: + * return self.view.shape[0] + */ + +/* Python wrapper */ +static Py_ssize_t __pyx_memoryview___len__(PyObject *__pyx_v_self); /*proto*/ +static Py_ssize_t __pyx_memoryview___len__(PyObject *__pyx_v_self) { + Py_ssize_t __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__len__ (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self) { + Py_ssize_t __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + __Pyx_RefNannySetupContext("__len__", 0); + + /* "View.MemoryView":606 + * + * def __len__(self): + * if self.view.ndim >= 1: # <<<<<<<<<<<<<< + * return self.view.shape[0] + * + */ + __pyx_t_1 = ((__pyx_v_self->view.ndim >= 1) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":607 + * def __len__(self): + * if self.view.ndim >= 1: + * return self.view.shape[0] # <<<<<<<<<<<<<< + * + * return 0 + */ + __pyx_r = (__pyx_v_self->view.shape[0]); + goto __pyx_L0; + + /* "View.MemoryView":606 + * + * def __len__(self): + * if self.view.ndim >= 1: # <<<<<<<<<<<<<< + * return self.view.shape[0] + * + */ + } + + /* "View.MemoryView":609 + * return self.view.shape[0] + * + * return 0 # <<<<<<<<<<<<<< + * + * def __repr__(self): + */ + __pyx_r = 0; + goto __pyx_L0; + + /* "View.MemoryView":605 + * return self._size + * + * def __len__(self): # <<<<<<<<<<<<<< + * if self.view.ndim >= 1: + * return self.view.shape[0] + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":611 + * return 0 + * + * def __repr__(self): # <<<<<<<<<<<<<< + * return "" % (self.base.__class__.__name__, + * id(self)) + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview___repr__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_memoryview___repr__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__repr__ (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__repr__", 0); + + /* "View.MemoryView":612 + * + * def __repr__(self): + * return "" % (self.base.__class__.__name__, # <<<<<<<<<<<<<< + * id(self)) + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_base); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_class); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_name_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "View.MemoryView":613 + * def __repr__(self): + * return "" % (self.base.__class__.__name__, + * id(self)) # <<<<<<<<<<<<<< + * + * def __str__(self): + */ + __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_builtin_id, ((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 613, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + + /* "View.MemoryView":612 + * + * def __repr__(self): + * return "" % (self.base.__class__.__name__, # <<<<<<<<<<<<<< + * id(self)) + * + */ + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_2); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyString_Format(__pyx_kp_s_MemoryView_of_r_at_0x_x, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":611 + * return 0 + * + * def __repr__(self): # <<<<<<<<<<<<<< + * return "" % (self.base.__class__.__name__, + * id(self)) + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview.__repr__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":615 + * id(self)) + * + * def __str__(self): # <<<<<<<<<<<<<< + * return "" % (self.base.__class__.__name__,) + * + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview___str__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_memoryview___str__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__str__ (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__str__", 0); + + /* "View.MemoryView":616 + * + * def __str__(self): + * return "" % (self.base.__class__.__name__,) # <<<<<<<<<<<<<< + * + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_base); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 616, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_class); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 616, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_name_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 616, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 616, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyString_Format(__pyx_kp_s_MemoryView_of_r_object, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 616, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "View.MemoryView":615 + * id(self)) + * + * def __str__(self): # <<<<<<<<<<<<<< + * return "" % (self.base.__class__.__name__,) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.memoryview.__str__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":619 + * + * + * def is_c_contig(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice *mslice + * cdef __Pyx_memviewslice tmp + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview_is_c_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_memoryview_is_c_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("is_c_contig (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self) { + __Pyx_memviewslice *__pyx_v_mslice; + __Pyx_memviewslice __pyx_v_tmp; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_memviewslice *__pyx_t_1; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("is_c_contig", 0); + + /* "View.MemoryView":622 + * cdef __Pyx_memviewslice *mslice + * cdef __Pyx_memviewslice tmp + * mslice = get_slice_from_memview(self, &tmp) # <<<<<<<<<<<<<< + * return slice_is_contig(mslice[0], 'C', self.view.ndim) + * + */ + __pyx_t_1 = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_self, (&__pyx_v_tmp)); if (unlikely(__pyx_t_1 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 622, __pyx_L1_error) + __pyx_v_mslice = __pyx_t_1; + + /* "View.MemoryView":623 + * cdef __Pyx_memviewslice tmp + * mslice = get_slice_from_memview(self, &tmp) + * return slice_is_contig(mslice[0], 'C', self.view.ndim) # <<<<<<<<<<<<<< + * + * def is_f_contig(self): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_memviewslice_is_contig((__pyx_v_mslice[0]), 'C', __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 623, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":619 + * + * + * def is_c_contig(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice *mslice + * cdef __Pyx_memviewslice tmp + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.memoryview.is_c_contig", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":625 + * return slice_is_contig(mslice[0], 'C', self.view.ndim) + * + * def is_f_contig(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice *mslice + * cdef __Pyx_memviewslice tmp + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview_is_f_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_memoryview_is_f_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("is_f_contig (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self) { + __Pyx_memviewslice *__pyx_v_mslice; + __Pyx_memviewslice __pyx_v_tmp; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_memviewslice *__pyx_t_1; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("is_f_contig", 0); + + /* "View.MemoryView":628 + * cdef __Pyx_memviewslice *mslice + * cdef __Pyx_memviewslice tmp + * mslice = get_slice_from_memview(self, &tmp) # <<<<<<<<<<<<<< + * return slice_is_contig(mslice[0], 'F', self.view.ndim) + * + */ + __pyx_t_1 = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_self, (&__pyx_v_tmp)); if (unlikely(__pyx_t_1 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 628, __pyx_L1_error) + __pyx_v_mslice = __pyx_t_1; + + /* "View.MemoryView":629 + * cdef __Pyx_memviewslice tmp + * mslice = get_slice_from_memview(self, &tmp) + * return slice_is_contig(mslice[0], 'F', self.view.ndim) # <<<<<<<<<<<<<< + * + * def copy(self): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_memviewslice_is_contig((__pyx_v_mslice[0]), 'F', __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":625 + * return slice_is_contig(mslice[0], 'C', self.view.ndim) + * + * def is_f_contig(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice *mslice + * cdef __Pyx_memviewslice tmp + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.memoryview.is_f_contig", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":631 + * return slice_is_contig(mslice[0], 'F', self.view.ndim) + * + * def copy(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice mslice + * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview_copy(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_memoryview_copy(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("copy (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self) { + __Pyx_memviewslice __pyx_v_mslice; + int __pyx_v_flags; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_memviewslice __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("copy", 0); + + /* "View.MemoryView":633 + * def copy(self): + * cdef __Pyx_memviewslice mslice + * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS # <<<<<<<<<<<<<< + * + * slice_copy(self, &mslice) + */ + __pyx_v_flags = (__pyx_v_self->flags & (~PyBUF_F_CONTIGUOUS)); + + /* "View.MemoryView":635 + * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS + * + * slice_copy(self, &mslice) # <<<<<<<<<<<<<< + * mslice = slice_copy_contig(&mslice, "c", self.view.ndim, + * self.view.itemsize, + */ + __pyx_memoryview_slice_copy(__pyx_v_self, (&__pyx_v_mslice)); + + /* "View.MemoryView":636 + * + * slice_copy(self, &mslice) + * mslice = slice_copy_contig(&mslice, "c", self.view.ndim, # <<<<<<<<<<<<<< + * self.view.itemsize, + * flags|PyBUF_C_CONTIGUOUS, + */ + __pyx_t_1 = __pyx_memoryview_copy_new_contig((&__pyx_v_mslice), ((char *)"c"), __pyx_v_self->view.ndim, __pyx_v_self->view.itemsize, (__pyx_v_flags | PyBUF_C_CONTIGUOUS), __pyx_v_self->dtype_is_object); if (unlikely(PyErr_Occurred())) __PYX_ERR(2, 636, __pyx_L1_error) + __pyx_v_mslice = __pyx_t_1; + + /* "View.MemoryView":641 + * self.dtype_is_object) + * + * return memoryview_copy_from_slice(self, &mslice) # <<<<<<<<<<<<<< + * + * def copy_fortran(self): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __pyx_memoryview_copy_object_from_slice(__pyx_v_self, (&__pyx_v_mslice)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 641, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":631 + * return slice_is_contig(mslice[0], 'F', self.view.ndim) + * + * def copy(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice mslice + * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.memoryview.copy", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":643 + * return memoryview_copy_from_slice(self, &mslice) + * + * def copy_fortran(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice src, dst + * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview_copy_fortran(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_memoryview_copy_fortran(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("copy_fortran (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self) { + __Pyx_memviewslice __pyx_v_src; + __Pyx_memviewslice __pyx_v_dst; + int __pyx_v_flags; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_memviewslice __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("copy_fortran", 0); + + /* "View.MemoryView":645 + * def copy_fortran(self): + * cdef __Pyx_memviewslice src, dst + * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS # <<<<<<<<<<<<<< + * + * slice_copy(self, &src) + */ + __pyx_v_flags = (__pyx_v_self->flags & (~PyBUF_C_CONTIGUOUS)); + + /* "View.MemoryView":647 + * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS + * + * slice_copy(self, &src) # <<<<<<<<<<<<<< + * dst = slice_copy_contig(&src, "fortran", self.view.ndim, + * self.view.itemsize, + */ + __pyx_memoryview_slice_copy(__pyx_v_self, (&__pyx_v_src)); + + /* "View.MemoryView":648 + * + * slice_copy(self, &src) + * dst = slice_copy_contig(&src, "fortran", self.view.ndim, # <<<<<<<<<<<<<< + * self.view.itemsize, + * flags|PyBUF_F_CONTIGUOUS, + */ + __pyx_t_1 = __pyx_memoryview_copy_new_contig((&__pyx_v_src), ((char *)"fortran"), __pyx_v_self->view.ndim, __pyx_v_self->view.itemsize, (__pyx_v_flags | PyBUF_F_CONTIGUOUS), __pyx_v_self->dtype_is_object); if (unlikely(PyErr_Occurred())) __PYX_ERR(2, 648, __pyx_L1_error) + __pyx_v_dst = __pyx_t_1; + + /* "View.MemoryView":653 + * self.dtype_is_object) + * + * return memoryview_copy_from_slice(self, &dst) # <<<<<<<<<<<<<< + * + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __pyx_memoryview_copy_object_from_slice(__pyx_v_self, (&__pyx_v_dst)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 653, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":643 + * return memoryview_copy_from_slice(self, &mslice) + * + * def copy_fortran(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice src, dst + * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.memoryview.copy_fortran", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_memoryview_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_pw___pyx_memoryview_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__reduce_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_memoryview___reduce_cython__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__reduce_cython__", 0); + + /* "(tree fragment)":2 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__30, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 2, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 2, __pyx_L1_error) + + /* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.memoryview.__reduce_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":3 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_memoryview_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state); /*proto*/ +static PyObject *__pyx_pw___pyx_memoryview_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__setstate_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_memoryview_2__setstate_cython__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((PyObject *)__pyx_v___pyx_state)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__setstate_cython__", 0); + + /* "(tree fragment)":4 + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__31, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 4, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 4, __pyx_L1_error) + + /* "(tree fragment)":3 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.memoryview.__setstate_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":657 + * + * @cname('__pyx_memoryview_new') + * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): # <<<<<<<<<<<<<< + * cdef memoryview result = memoryview(o, flags, dtype_is_object) + * result.typeinfo = typeinfo + */ + +static PyObject *__pyx_memoryview_new(PyObject *__pyx_v_o, int __pyx_v_flags, int __pyx_v_dtype_is_object, __Pyx_TypeInfo *__pyx_v_typeinfo) { + struct __pyx_memoryview_obj *__pyx_v_result = 0; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("memoryview_cwrapper", 0); + + /* "View.MemoryView":658 + * @cname('__pyx_memoryview_new') + * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): + * cdef memoryview result = memoryview(o, flags, dtype_is_object) # <<<<<<<<<<<<<< + * result.typeinfo = typeinfo + * return result + */ + __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_flags); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 658, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 658, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 658, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_o); + __Pyx_GIVEREF(__pyx_v_o); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_o); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryview_type), __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 658, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_result = ((struct __pyx_memoryview_obj *)__pyx_t_2); + __pyx_t_2 = 0; + + /* "View.MemoryView":659 + * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): + * cdef memoryview result = memoryview(o, flags, dtype_is_object) + * result.typeinfo = typeinfo # <<<<<<<<<<<<<< + * return result + * + */ + __pyx_v_result->typeinfo = __pyx_v_typeinfo; + + /* "View.MemoryView":660 + * cdef memoryview result = memoryview(o, flags, dtype_is_object) + * result.typeinfo = typeinfo + * return result # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_check') + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(((PyObject *)__pyx_v_result)); + __pyx_r = ((PyObject *)__pyx_v_result); + goto __pyx_L0; + + /* "View.MemoryView":657 + * + * @cname('__pyx_memoryview_new') + * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): # <<<<<<<<<<<<<< + * cdef memoryview result = memoryview(o, flags, dtype_is_object) + * result.typeinfo = typeinfo + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview_cwrapper", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_result); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":663 + * + * @cname('__pyx_memoryview_check') + * cdef inline bint memoryview_check(object o): # <<<<<<<<<<<<<< + * return isinstance(o, memoryview) + * + */ + +static CYTHON_INLINE int __pyx_memoryview_check(PyObject *__pyx_v_o) { + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + __Pyx_RefNannySetupContext("memoryview_check", 0); + + /* "View.MemoryView":664 + * @cname('__pyx_memoryview_check') + * cdef inline bint memoryview_check(object o): + * return isinstance(o, memoryview) # <<<<<<<<<<<<<< + * + * cdef tuple _unellipsify(object index, int ndim): + */ + __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_o, __pyx_memoryview_type); + __pyx_r = __pyx_t_1; + goto __pyx_L0; + + /* "View.MemoryView":663 + * + * @cname('__pyx_memoryview_check') + * cdef inline bint memoryview_check(object o): # <<<<<<<<<<<<<< + * return isinstance(o, memoryview) + * + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":666 + * return isinstance(o, memoryview) + * + * cdef tuple _unellipsify(object index, int ndim): # <<<<<<<<<<<<<< + * """ + * Replace all ellipses with full slices and fill incomplete indices with + */ + +static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { + PyObject *__pyx_v_tup = NULL; + PyObject *__pyx_v_result = NULL; + int __pyx_v_have_slices; + int __pyx_v_seen_ellipsis; + CYTHON_UNUSED PyObject *__pyx_v_idx = NULL; + PyObject *__pyx_v_item = NULL; + Py_ssize_t __pyx_v_nslices; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + Py_ssize_t __pyx_t_5; + PyObject *(*__pyx_t_6)(PyObject *); + PyObject *__pyx_t_7 = NULL; + Py_ssize_t __pyx_t_8; + int __pyx_t_9; + int __pyx_t_10; + PyObject *__pyx_t_11 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_unellipsify", 0); + + /* "View.MemoryView":671 + * full slices. + * """ + * if not isinstance(index, tuple): # <<<<<<<<<<<<<< + * tup = (index,) + * else: + */ + __pyx_t_1 = PyTuple_Check(__pyx_v_index); + __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":672 + * """ + * if not isinstance(index, tuple): + * tup = (index,) # <<<<<<<<<<<<<< + * else: + * tup = index + */ + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 672, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_index); + __Pyx_GIVEREF(__pyx_v_index); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_index); + __pyx_v_tup = __pyx_t_3; + __pyx_t_3 = 0; + + /* "View.MemoryView":671 + * full slices. + * """ + * if not isinstance(index, tuple): # <<<<<<<<<<<<<< + * tup = (index,) + * else: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":674 + * tup = (index,) + * else: + * tup = index # <<<<<<<<<<<<<< + * + * result = [] + */ + /*else*/ { + __Pyx_INCREF(__pyx_v_index); + __pyx_v_tup = __pyx_v_index; + } + __pyx_L3:; + + /* "View.MemoryView":676 + * tup = index + * + * result = [] # <<<<<<<<<<<<<< + * have_slices = False + * seen_ellipsis = False + */ + __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 676, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_v_result = ((PyObject*)__pyx_t_3); + __pyx_t_3 = 0; + + /* "View.MemoryView":677 + * + * result = [] + * have_slices = False # <<<<<<<<<<<<<< + * seen_ellipsis = False + * for idx, item in enumerate(tup): + */ + __pyx_v_have_slices = 0; + + /* "View.MemoryView":678 + * result = [] + * have_slices = False + * seen_ellipsis = False # <<<<<<<<<<<<<< + * for idx, item in enumerate(tup): + * if item is Ellipsis: + */ + __pyx_v_seen_ellipsis = 0; + + /* "View.MemoryView":679 + * have_slices = False + * seen_ellipsis = False + * for idx, item in enumerate(tup): # <<<<<<<<<<<<<< + * if item is Ellipsis: + * if not seen_ellipsis: + */ + __Pyx_INCREF(__pyx_int_0); + __pyx_t_3 = __pyx_int_0; + if (likely(PyList_CheckExact(__pyx_v_tup)) || PyTuple_CheckExact(__pyx_v_tup)) { + __pyx_t_4 = __pyx_v_tup; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0; + __pyx_t_6 = NULL; + } else { + __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_v_tup); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 679, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 679, __pyx_L1_error) + } + for (;;) { + if (likely(!__pyx_t_6)) { + if (likely(PyList_CheckExact(__pyx_t_4))) { + if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_7 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(2, 679, __pyx_L1_error) + #else + __pyx_t_7 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 679, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + #endif + } else { + if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_7 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(2, 679, __pyx_L1_error) + #else + __pyx_t_7 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 679, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + #endif + } + } else { + __pyx_t_7 = __pyx_t_6(__pyx_t_4); + if (unlikely(!__pyx_t_7)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(2, 679, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_7); + } + __Pyx_XDECREF_SET(__pyx_v_item, __pyx_t_7); + __pyx_t_7 = 0; + __Pyx_INCREF(__pyx_t_3); + __Pyx_XDECREF_SET(__pyx_v_idx, __pyx_t_3); + __pyx_t_7 = __Pyx_PyInt_AddObjC(__pyx_t_3, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 679, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_3); + __pyx_t_3 = __pyx_t_7; + __pyx_t_7 = 0; + + /* "View.MemoryView":680 + * seen_ellipsis = False + * for idx, item in enumerate(tup): + * if item is Ellipsis: # <<<<<<<<<<<<<< + * if not seen_ellipsis: + * result.extend([slice(None)] * (ndim - len(tup) + 1)) + */ + __pyx_t_2 = (__pyx_v_item == __pyx_builtin_Ellipsis); + __pyx_t_1 = (__pyx_t_2 != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":681 + * for idx, item in enumerate(tup): + * if item is Ellipsis: + * if not seen_ellipsis: # <<<<<<<<<<<<<< + * result.extend([slice(None)] * (ndim - len(tup) + 1)) + * seen_ellipsis = True + */ + __pyx_t_1 = ((!(__pyx_v_seen_ellipsis != 0)) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":682 + * if item is Ellipsis: + * if not seen_ellipsis: + * result.extend([slice(None)] * (ndim - len(tup) + 1)) # <<<<<<<<<<<<<< + * seen_ellipsis = True + * else: + */ + __pyx_t_8 = PyObject_Length(__pyx_v_tup); if (unlikely(__pyx_t_8 == ((Py_ssize_t)-1))) __PYX_ERR(2, 682, __pyx_L1_error) + __pyx_t_7 = PyList_New(1 * ((((__pyx_v_ndim - __pyx_t_8) + 1)<0) ? 0:((__pyx_v_ndim - __pyx_t_8) + 1))); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 682, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + { Py_ssize_t __pyx_temp; + for (__pyx_temp=0; __pyx_temp < ((__pyx_v_ndim - __pyx_t_8) + 1); __pyx_temp++) { + __Pyx_INCREF(__pyx_slice__9); + __Pyx_GIVEREF(__pyx_slice__9); + PyList_SET_ITEM(__pyx_t_7, __pyx_temp, __pyx_slice__9); + } + } + __pyx_t_9 = __Pyx_PyList_Extend(__pyx_v_result, __pyx_t_7); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(2, 682, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + + /* "View.MemoryView":683 + * if not seen_ellipsis: + * result.extend([slice(None)] * (ndim - len(tup) + 1)) + * seen_ellipsis = True # <<<<<<<<<<<<<< + * else: + * result.append(slice(None)) + */ + __pyx_v_seen_ellipsis = 1; + + /* "View.MemoryView":681 + * for idx, item in enumerate(tup): + * if item is Ellipsis: + * if not seen_ellipsis: # <<<<<<<<<<<<<< + * result.extend([slice(None)] * (ndim - len(tup) + 1)) + * seen_ellipsis = True + */ + goto __pyx_L7; + } + + /* "View.MemoryView":685 + * seen_ellipsis = True + * else: + * result.append(slice(None)) # <<<<<<<<<<<<<< + * have_slices = True + * else: + */ + /*else*/ { + __pyx_t_9 = __Pyx_PyList_Append(__pyx_v_result, __pyx_slice__9); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(2, 685, __pyx_L1_error) + } + __pyx_L7:; + + /* "View.MemoryView":686 + * else: + * result.append(slice(None)) + * have_slices = True # <<<<<<<<<<<<<< + * else: + * if not isinstance(item, slice) and not PyIndex_Check(item): + */ + __pyx_v_have_slices = 1; + + /* "View.MemoryView":680 + * seen_ellipsis = False + * for idx, item in enumerate(tup): + * if item is Ellipsis: # <<<<<<<<<<<<<< + * if not seen_ellipsis: + * result.extend([slice(None)] * (ndim - len(tup) + 1)) + */ + goto __pyx_L6; + } + + /* "View.MemoryView":688 + * have_slices = True + * else: + * if not isinstance(item, slice) and not PyIndex_Check(item): # <<<<<<<<<<<<<< + * raise TypeError("Cannot index with type '%s'" % type(item)) + * + */ + /*else*/ { + __pyx_t_2 = PySlice_Check(__pyx_v_item); + __pyx_t_10 = ((!(__pyx_t_2 != 0)) != 0); + if (__pyx_t_10) { + } else { + __pyx_t_1 = __pyx_t_10; + goto __pyx_L9_bool_binop_done; + } + __pyx_t_10 = ((!(PyIndex_Check(__pyx_v_item) != 0)) != 0); + __pyx_t_1 = __pyx_t_10; + __pyx_L9_bool_binop_done:; + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":689 + * else: + * if not isinstance(item, slice) and not PyIndex_Check(item): + * raise TypeError("Cannot index with type '%s'" % type(item)) # <<<<<<<<<<<<<< + * + * have_slices = have_slices or isinstance(item, slice) + */ + __pyx_t_7 = __Pyx_PyString_FormatSafe(__pyx_kp_s_Cannot_index_with_type_s, ((PyObject *)Py_TYPE(__pyx_v_item))); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 689, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_11 = __Pyx_PyObject_CallOneArg(__pyx_builtin_TypeError, __pyx_t_7); if (unlikely(!__pyx_t_11)) __PYX_ERR(2, 689, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_Raise(__pyx_t_11, 0, 0, 0); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __PYX_ERR(2, 689, __pyx_L1_error) + + /* "View.MemoryView":688 + * have_slices = True + * else: + * if not isinstance(item, slice) and not PyIndex_Check(item): # <<<<<<<<<<<<<< + * raise TypeError("Cannot index with type '%s'" % type(item)) + * + */ + } + + /* "View.MemoryView":691 + * raise TypeError("Cannot index with type '%s'" % type(item)) + * + * have_slices = have_slices or isinstance(item, slice) # <<<<<<<<<<<<<< + * result.append(item) + * + */ + __pyx_t_10 = (__pyx_v_have_slices != 0); + if (!__pyx_t_10) { + } else { + __pyx_t_1 = __pyx_t_10; + goto __pyx_L11_bool_binop_done; + } + __pyx_t_10 = PySlice_Check(__pyx_v_item); + __pyx_t_2 = (__pyx_t_10 != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L11_bool_binop_done:; + __pyx_v_have_slices = __pyx_t_1; + + /* "View.MemoryView":692 + * + * have_slices = have_slices or isinstance(item, slice) + * result.append(item) # <<<<<<<<<<<<<< + * + * nslices = ndim - len(result) + */ + __pyx_t_9 = __Pyx_PyList_Append(__pyx_v_result, __pyx_v_item); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(2, 692, __pyx_L1_error) + } + __pyx_L6:; + + /* "View.MemoryView":679 + * have_slices = False + * seen_ellipsis = False + * for idx, item in enumerate(tup): # <<<<<<<<<<<<<< + * if item is Ellipsis: + * if not seen_ellipsis: + */ + } + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "View.MemoryView":694 + * result.append(item) + * + * nslices = ndim - len(result) # <<<<<<<<<<<<<< + * if nslices: + * result.extend([slice(None)] * nslices) + */ + __pyx_t_5 = PyList_GET_SIZE(__pyx_v_result); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(2, 694, __pyx_L1_error) + __pyx_v_nslices = (__pyx_v_ndim - __pyx_t_5); + + /* "View.MemoryView":695 + * + * nslices = ndim - len(result) + * if nslices: # <<<<<<<<<<<<<< + * result.extend([slice(None)] * nslices) + * + */ + __pyx_t_1 = (__pyx_v_nslices != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":696 + * nslices = ndim - len(result) + * if nslices: + * result.extend([slice(None)] * nslices) # <<<<<<<<<<<<<< + * + * return have_slices or nslices, tuple(result) + */ + __pyx_t_3 = PyList_New(1 * ((__pyx_v_nslices<0) ? 0:__pyx_v_nslices)); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 696, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + { Py_ssize_t __pyx_temp; + for (__pyx_temp=0; __pyx_temp < __pyx_v_nslices; __pyx_temp++) { + __Pyx_INCREF(__pyx_slice__9); + __Pyx_GIVEREF(__pyx_slice__9); + PyList_SET_ITEM(__pyx_t_3, __pyx_temp, __pyx_slice__9); + } + } + __pyx_t_9 = __Pyx_PyList_Extend(__pyx_v_result, __pyx_t_3); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(2, 696, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "View.MemoryView":695 + * + * nslices = ndim - len(result) + * if nslices: # <<<<<<<<<<<<<< + * result.extend([slice(None)] * nslices) + * + */ + } + + /* "View.MemoryView":698 + * result.extend([slice(None)] * nslices) + * + * return have_slices or nslices, tuple(result) # <<<<<<<<<<<<<< + * + * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): + */ + __Pyx_XDECREF(__pyx_r); + if (!__pyx_v_have_slices) { + } else { + __pyx_t_4 = __Pyx_PyBool_FromLong(__pyx_v_have_slices); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 698, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = __pyx_t_4; + __pyx_t_4 = 0; + goto __pyx_L14_bool_binop_done; + } + __pyx_t_4 = PyInt_FromSsize_t(__pyx_v_nslices); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 698, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = __pyx_t_4; + __pyx_t_4 = 0; + __pyx_L14_bool_binop_done:; + __pyx_t_4 = PyList_AsTuple(__pyx_v_result); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 698, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_11 = PyTuple_New(2); if (unlikely(!__pyx_t_11)) __PYX_ERR(2, 698, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_t_4); + __pyx_t_3 = 0; + __pyx_t_4 = 0; + __pyx_r = ((PyObject*)__pyx_t_11); + __pyx_t_11 = 0; + goto __pyx_L0; + + /* "View.MemoryView":666 + * return isinstance(o, memoryview) + * + * cdef tuple _unellipsify(object index, int ndim): # <<<<<<<<<<<<<< + * """ + * Replace all ellipses with full slices and fill incomplete indices with + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_11); + __Pyx_AddTraceback("View.MemoryView._unellipsify", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_tup); + __Pyx_XDECREF(__pyx_v_result); + __Pyx_XDECREF(__pyx_v_idx); + __Pyx_XDECREF(__pyx_v_item); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":700 + * return have_slices or nslices, tuple(result) + * + * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): # <<<<<<<<<<<<<< + * for suboffset in suboffsets[:ndim]: + * if suboffset >= 0: + */ + +static PyObject *assert_direct_dimensions(Py_ssize_t *__pyx_v_suboffsets, int __pyx_v_ndim) { + Py_ssize_t __pyx_v_suboffset; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + Py_ssize_t *__pyx_t_1; + Py_ssize_t *__pyx_t_2; + Py_ssize_t *__pyx_t_3; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("assert_direct_dimensions", 0); + + /* "View.MemoryView":701 + * + * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): + * for suboffset in suboffsets[:ndim]: # <<<<<<<<<<<<<< + * if suboffset >= 0: + * raise ValueError("Indirect dimensions not supported") + */ + __pyx_t_2 = (__pyx_v_suboffsets + __pyx_v_ndim); + for (__pyx_t_3 = __pyx_v_suboffsets; __pyx_t_3 < __pyx_t_2; __pyx_t_3++) { + __pyx_t_1 = __pyx_t_3; + __pyx_v_suboffset = (__pyx_t_1[0]); + + /* "View.MemoryView":702 + * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): + * for suboffset in suboffsets[:ndim]: + * if suboffset >= 0: # <<<<<<<<<<<<<< + * raise ValueError("Indirect dimensions not supported") + * + */ + __pyx_t_4 = ((__pyx_v_suboffset >= 0) != 0); + if (unlikely(__pyx_t_4)) { + + /* "View.MemoryView":703 + * for suboffset in suboffsets[:ndim]: + * if suboffset >= 0: + * raise ValueError("Indirect dimensions not supported") # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_5 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__32, NULL); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 703, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_Raise(__pyx_t_5, 0, 0, 0); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __PYX_ERR(2, 703, __pyx_L1_error) + + /* "View.MemoryView":702 + * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): + * for suboffset in suboffsets[:ndim]: + * if suboffset >= 0: # <<<<<<<<<<<<<< + * raise ValueError("Indirect dimensions not supported") + * + */ + } + } + + /* "View.MemoryView":700 + * return have_slices or nslices, tuple(result) + * + * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): # <<<<<<<<<<<<<< + * for suboffset in suboffsets[:ndim]: + * if suboffset >= 0: + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.assert_direct_dimensions", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":710 + * + * @cname('__pyx_memview_slice') + * cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<< + * cdef int new_ndim = 0, suboffset_dim = -1, dim + * cdef bint negative_step + */ + +static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *__pyx_v_memview, PyObject *__pyx_v_indices) { + int __pyx_v_new_ndim; + int __pyx_v_suboffset_dim; + int __pyx_v_dim; + __Pyx_memviewslice __pyx_v_src; + __Pyx_memviewslice __pyx_v_dst; + __Pyx_memviewslice *__pyx_v_p_src; + struct __pyx_memoryviewslice_obj *__pyx_v_memviewsliceobj = 0; + __Pyx_memviewslice *__pyx_v_p_dst; + int *__pyx_v_p_suboffset_dim; + Py_ssize_t __pyx_v_start; + Py_ssize_t __pyx_v_stop; + Py_ssize_t __pyx_v_step; + int __pyx_v_have_start; + int __pyx_v_have_stop; + int __pyx_v_have_step; + PyObject *__pyx_v_index = NULL; + struct __pyx_memoryview_obj *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + struct __pyx_memoryview_obj *__pyx_t_4; + char *__pyx_t_5; + int __pyx_t_6; + Py_ssize_t __pyx_t_7; + PyObject *(*__pyx_t_8)(PyObject *); + PyObject *__pyx_t_9 = NULL; + Py_ssize_t __pyx_t_10; + int __pyx_t_11; + Py_ssize_t __pyx_t_12; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("memview_slice", 0); + + /* "View.MemoryView":711 + * @cname('__pyx_memview_slice') + * cdef memoryview memview_slice(memoryview memview, object indices): + * cdef int new_ndim = 0, suboffset_dim = -1, dim # <<<<<<<<<<<<<< + * cdef bint negative_step + * cdef __Pyx_memviewslice src, dst + */ + __pyx_v_new_ndim = 0; + __pyx_v_suboffset_dim = -1; + + /* "View.MemoryView":718 + * + * + * memset(&dst, 0, sizeof(dst)) # <<<<<<<<<<<<<< + * + * cdef _memoryviewslice memviewsliceobj + */ + (void)(memset((&__pyx_v_dst), 0, (sizeof(__pyx_v_dst)))); + + /* "View.MemoryView":722 + * cdef _memoryviewslice memviewsliceobj + * + * assert memview.view.ndim > 0 # <<<<<<<<<<<<<< + * + * if isinstance(memview, _memoryviewslice): + */ + #ifndef CYTHON_WITHOUT_ASSERTIONS + if (unlikely(!Py_OptimizeFlag)) { + if (unlikely(!((__pyx_v_memview->view.ndim > 0) != 0))) { + PyErr_SetNone(PyExc_AssertionError); + __PYX_ERR(2, 722, __pyx_L1_error) + } + } + #endif + + /* "View.MemoryView":724 + * assert memview.view.ndim > 0 + * + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * memviewsliceobj = memview + * p_src = &memviewsliceobj.from_slice + */ + __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":725 + * + * if isinstance(memview, _memoryviewslice): + * memviewsliceobj = memview # <<<<<<<<<<<<<< + * p_src = &memviewsliceobj.from_slice + * else: + */ + if (!(likely(((((PyObject *)__pyx_v_memview)) == Py_None) || likely(__Pyx_TypeTest(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type))))) __PYX_ERR(2, 725, __pyx_L1_error) + __pyx_t_3 = ((PyObject *)__pyx_v_memview); + __Pyx_INCREF(__pyx_t_3); + __pyx_v_memviewsliceobj = ((struct __pyx_memoryviewslice_obj *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "View.MemoryView":726 + * if isinstance(memview, _memoryviewslice): + * memviewsliceobj = memview + * p_src = &memviewsliceobj.from_slice # <<<<<<<<<<<<<< + * else: + * slice_copy(memview, &src) + */ + __pyx_v_p_src = (&__pyx_v_memviewsliceobj->from_slice); + + /* "View.MemoryView":724 + * assert memview.view.ndim > 0 + * + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * memviewsliceobj = memview + * p_src = &memviewsliceobj.from_slice + */ + goto __pyx_L3; + } + + /* "View.MemoryView":728 + * p_src = &memviewsliceobj.from_slice + * else: + * slice_copy(memview, &src) # <<<<<<<<<<<<<< + * p_src = &src + * + */ + /*else*/ { + __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_src)); + + /* "View.MemoryView":729 + * else: + * slice_copy(memview, &src) + * p_src = &src # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_p_src = (&__pyx_v_src); + } + __pyx_L3:; + + /* "View.MemoryView":735 + * + * + * dst.memview = p_src.memview # <<<<<<<<<<<<<< + * dst.data = p_src.data + * + */ + __pyx_t_4 = __pyx_v_p_src->memview; + __pyx_v_dst.memview = __pyx_t_4; + + /* "View.MemoryView":736 + * + * dst.memview = p_src.memview + * dst.data = p_src.data # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_5 = __pyx_v_p_src->data; + __pyx_v_dst.data = __pyx_t_5; + + /* "View.MemoryView":741 + * + * + * cdef __Pyx_memviewslice *p_dst = &dst # <<<<<<<<<<<<<< + * cdef int *p_suboffset_dim = &suboffset_dim + * cdef Py_ssize_t start, stop, step + */ + __pyx_v_p_dst = (&__pyx_v_dst); + + /* "View.MemoryView":742 + * + * cdef __Pyx_memviewslice *p_dst = &dst + * cdef int *p_suboffset_dim = &suboffset_dim # <<<<<<<<<<<<<< + * cdef Py_ssize_t start, stop, step + * cdef bint have_start, have_stop, have_step + */ + __pyx_v_p_suboffset_dim = (&__pyx_v_suboffset_dim); + + /* "View.MemoryView":746 + * cdef bint have_start, have_stop, have_step + * + * for dim, index in enumerate(indices): # <<<<<<<<<<<<<< + * if PyIndex_Check(index): + * slice_memviewslice( + */ + __pyx_t_6 = 0; + if (likely(PyList_CheckExact(__pyx_v_indices)) || PyTuple_CheckExact(__pyx_v_indices)) { + __pyx_t_3 = __pyx_v_indices; __Pyx_INCREF(__pyx_t_3); __pyx_t_7 = 0; + __pyx_t_8 = NULL; + } else { + __pyx_t_7 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_v_indices); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 746, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_8)) __PYX_ERR(2, 746, __pyx_L1_error) + } + for (;;) { + if (likely(!__pyx_t_8)) { + if (likely(PyList_CheckExact(__pyx_t_3))) { + if (__pyx_t_7 >= PyList_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_9 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_7); __Pyx_INCREF(__pyx_t_9); __pyx_t_7++; if (unlikely(0 < 0)) __PYX_ERR(2, 746, __pyx_L1_error) + #else + __pyx_t_9 = PySequence_ITEM(__pyx_t_3, __pyx_t_7); __pyx_t_7++; if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 746, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + #endif + } else { + if (__pyx_t_7 >= PyTuple_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_9 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_7); __Pyx_INCREF(__pyx_t_9); __pyx_t_7++; if (unlikely(0 < 0)) __PYX_ERR(2, 746, __pyx_L1_error) + #else + __pyx_t_9 = PySequence_ITEM(__pyx_t_3, __pyx_t_7); __pyx_t_7++; if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 746, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + #endif + } + } else { + __pyx_t_9 = __pyx_t_8(__pyx_t_3); + if (unlikely(!__pyx_t_9)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(2, 746, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_9); + } + __Pyx_XDECREF_SET(__pyx_v_index, __pyx_t_9); + __pyx_t_9 = 0; + __pyx_v_dim = __pyx_t_6; + __pyx_t_6 = (__pyx_t_6 + 1); + + /* "View.MemoryView":747 + * + * for dim, index in enumerate(indices): + * if PyIndex_Check(index): # <<<<<<<<<<<<<< + * slice_memviewslice( + * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], + */ + __pyx_t_2 = (PyIndex_Check(__pyx_v_index) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":751 + * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], + * dim, new_ndim, p_suboffset_dim, + * index, 0, 0, # start, stop, step # <<<<<<<<<<<<<< + * 0, 0, 0, # have_{start,stop,step} + * False) + */ + __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_v_index); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 751, __pyx_L1_error) + + /* "View.MemoryView":748 + * for dim, index in enumerate(indices): + * if PyIndex_Check(index): + * slice_memviewslice( # <<<<<<<<<<<<<< + * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], + * dim, new_ndim, p_suboffset_dim, + */ + __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_t_10, 0, 0, 0, 0, 0, 0); if (unlikely(__pyx_t_11 == ((int)-1))) __PYX_ERR(2, 748, __pyx_L1_error) + + /* "View.MemoryView":747 + * + * for dim, index in enumerate(indices): + * if PyIndex_Check(index): # <<<<<<<<<<<<<< + * slice_memviewslice( + * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], + */ + goto __pyx_L6; + } + + /* "View.MemoryView":754 + * 0, 0, 0, # have_{start,stop,step} + * False) + * elif index is None: # <<<<<<<<<<<<<< + * p_dst.shape[new_ndim] = 1 + * p_dst.strides[new_ndim] = 0 + */ + __pyx_t_2 = (__pyx_v_index == Py_None); + __pyx_t_1 = (__pyx_t_2 != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":755 + * False) + * elif index is None: + * p_dst.shape[new_ndim] = 1 # <<<<<<<<<<<<<< + * p_dst.strides[new_ndim] = 0 + * p_dst.suboffsets[new_ndim] = -1 + */ + (__pyx_v_p_dst->shape[__pyx_v_new_ndim]) = 1; + + /* "View.MemoryView":756 + * elif index is None: + * p_dst.shape[new_ndim] = 1 + * p_dst.strides[new_ndim] = 0 # <<<<<<<<<<<<<< + * p_dst.suboffsets[new_ndim] = -1 + * new_ndim += 1 + */ + (__pyx_v_p_dst->strides[__pyx_v_new_ndim]) = 0; + + /* "View.MemoryView":757 + * p_dst.shape[new_ndim] = 1 + * p_dst.strides[new_ndim] = 0 + * p_dst.suboffsets[new_ndim] = -1 # <<<<<<<<<<<<<< + * new_ndim += 1 + * else: + */ + (__pyx_v_p_dst->suboffsets[__pyx_v_new_ndim]) = -1L; + + /* "View.MemoryView":758 + * p_dst.strides[new_ndim] = 0 + * p_dst.suboffsets[new_ndim] = -1 + * new_ndim += 1 # <<<<<<<<<<<<<< + * else: + * start = index.start or 0 + */ + __pyx_v_new_ndim = (__pyx_v_new_ndim + 1); + + /* "View.MemoryView":754 + * 0, 0, 0, # have_{start,stop,step} + * False) + * elif index is None: # <<<<<<<<<<<<<< + * p_dst.shape[new_ndim] = 1 + * p_dst.strides[new_ndim] = 0 + */ + goto __pyx_L6; + } + + /* "View.MemoryView":760 + * new_ndim += 1 + * else: + * start = index.start or 0 # <<<<<<<<<<<<<< + * stop = index.stop or 0 + * step = index.step or 0 + */ + /*else*/ { + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_start); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 760, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(2, 760, __pyx_L1_error) + if (!__pyx_t_1) { + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } else { + __pyx_t_12 = __Pyx_PyIndex_AsSsize_t(__pyx_t_9); if (unlikely((__pyx_t_12 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 760, __pyx_L1_error) + __pyx_t_10 = __pyx_t_12; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + goto __pyx_L7_bool_binop_done; + } + __pyx_t_10 = 0; + __pyx_L7_bool_binop_done:; + __pyx_v_start = __pyx_t_10; + + /* "View.MemoryView":761 + * else: + * start = index.start or 0 + * stop = index.stop or 0 # <<<<<<<<<<<<<< + * step = index.step or 0 + * + */ + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_stop); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 761, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(2, 761, __pyx_L1_error) + if (!__pyx_t_1) { + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } else { + __pyx_t_12 = __Pyx_PyIndex_AsSsize_t(__pyx_t_9); if (unlikely((__pyx_t_12 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 761, __pyx_L1_error) + __pyx_t_10 = __pyx_t_12; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + goto __pyx_L9_bool_binop_done; + } + __pyx_t_10 = 0; + __pyx_L9_bool_binop_done:; + __pyx_v_stop = __pyx_t_10; + + /* "View.MemoryView":762 + * start = index.start or 0 + * stop = index.stop or 0 + * step = index.step or 0 # <<<<<<<<<<<<<< + * + * have_start = index.start is not None + */ + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_step); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 762, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(2, 762, __pyx_L1_error) + if (!__pyx_t_1) { + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } else { + __pyx_t_12 = __Pyx_PyIndex_AsSsize_t(__pyx_t_9); if (unlikely((__pyx_t_12 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 762, __pyx_L1_error) + __pyx_t_10 = __pyx_t_12; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + goto __pyx_L11_bool_binop_done; + } + __pyx_t_10 = 0; + __pyx_L11_bool_binop_done:; + __pyx_v_step = __pyx_t_10; + + /* "View.MemoryView":764 + * step = index.step or 0 + * + * have_start = index.start is not None # <<<<<<<<<<<<<< + * have_stop = index.stop is not None + * have_step = index.step is not None + */ + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_start); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 764, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = (__pyx_t_9 != Py_None); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_v_have_start = __pyx_t_1; + + /* "View.MemoryView":765 + * + * have_start = index.start is not None + * have_stop = index.stop is not None # <<<<<<<<<<<<<< + * have_step = index.step is not None + * + */ + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_stop); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 765, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = (__pyx_t_9 != Py_None); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_v_have_stop = __pyx_t_1; + + /* "View.MemoryView":766 + * have_start = index.start is not None + * have_stop = index.stop is not None + * have_step = index.step is not None # <<<<<<<<<<<<<< + * + * slice_memviewslice( + */ + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_step); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 766, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = (__pyx_t_9 != Py_None); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_v_have_step = __pyx_t_1; + + /* "View.MemoryView":768 + * have_step = index.step is not None + * + * slice_memviewslice( # <<<<<<<<<<<<<< + * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], + * dim, new_ndim, p_suboffset_dim, + */ + __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_v_start, __pyx_v_stop, __pyx_v_step, __pyx_v_have_start, __pyx_v_have_stop, __pyx_v_have_step, 1); if (unlikely(__pyx_t_11 == ((int)-1))) __PYX_ERR(2, 768, __pyx_L1_error) + + /* "View.MemoryView":774 + * have_start, have_stop, have_step, + * True) + * new_ndim += 1 # <<<<<<<<<<<<<< + * + * if isinstance(memview, _memoryviewslice): + */ + __pyx_v_new_ndim = (__pyx_v_new_ndim + 1); + } + __pyx_L6:; + + /* "View.MemoryView":746 + * cdef bint have_start, have_stop, have_step + * + * for dim, index in enumerate(indices): # <<<<<<<<<<<<<< + * if PyIndex_Check(index): + * slice_memviewslice( + */ + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "View.MemoryView":776 + * new_ndim += 1 + * + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * return memoryview_fromslice(dst, new_ndim, + * memviewsliceobj.to_object_func, + */ + __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":777 + * + * if isinstance(memview, _memoryviewslice): + * return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<< + * memviewsliceobj.to_object_func, + * memviewsliceobj.to_dtype_func, + */ + __Pyx_XDECREF(((PyObject *)__pyx_r)); + + /* "View.MemoryView":778 + * if isinstance(memview, _memoryviewslice): + * return memoryview_fromslice(dst, new_ndim, + * memviewsliceobj.to_object_func, # <<<<<<<<<<<<<< + * memviewsliceobj.to_dtype_func, + * memview.dtype_is_object) + */ + if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); __PYX_ERR(2, 778, __pyx_L1_error) } + + /* "View.MemoryView":779 + * return memoryview_fromslice(dst, new_ndim, + * memviewsliceobj.to_object_func, + * memviewsliceobj.to_dtype_func, # <<<<<<<<<<<<<< + * memview.dtype_is_object) + * else: + */ + if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); __PYX_ERR(2, 779, __pyx_L1_error) } + + /* "View.MemoryView":777 + * + * if isinstance(memview, _memoryviewslice): + * return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<< + * memviewsliceobj.to_object_func, + * memviewsliceobj.to_dtype_func, + */ + __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, __pyx_v_memviewsliceobj->to_object_func, __pyx_v_memviewsliceobj->to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 777, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(2, 777, __pyx_L1_error) + __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3); + __pyx_t_3 = 0; + goto __pyx_L0; + + /* "View.MemoryView":776 + * new_ndim += 1 + * + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * return memoryview_fromslice(dst, new_ndim, + * memviewsliceobj.to_object_func, + */ + } + + /* "View.MemoryView":782 + * memview.dtype_is_object) + * else: + * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< + * memview.dtype_is_object) + * + */ + /*else*/ { + __Pyx_XDECREF(((PyObject *)__pyx_r)); + + /* "View.MemoryView":783 + * else: + * return memoryview_fromslice(dst, new_ndim, NULL, NULL, + * memview.dtype_is_object) # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, NULL, NULL, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 782, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + + /* "View.MemoryView":782 + * memview.dtype_is_object) + * else: + * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< + * memview.dtype_is_object) + * + */ + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(2, 782, __pyx_L1_error) + __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3); + __pyx_t_3 = 0; + goto __pyx_L0; + } + + /* "View.MemoryView":710 + * + * @cname('__pyx_memview_slice') + * cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<< + * cdef int new_ndim = 0, suboffset_dim = -1, dim + * cdef bint negative_step + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_9); + __Pyx_AddTraceback("View.MemoryView.memview_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_memviewsliceobj); + __Pyx_XDECREF(__pyx_v_index); + __Pyx_XGIVEREF((PyObject *)__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":807 + * + * @cname('__pyx_memoryview_slice_memviewslice') + * cdef int slice_memviewslice( # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset, + */ + +static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) { + Py_ssize_t __pyx_v_new_shape; + int __pyx_v_negative_step; + int __pyx_r; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + + /* "View.MemoryView":827 + * cdef bint negative_step + * + * if not is_slice: # <<<<<<<<<<<<<< + * + * if start < 0: + */ + __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":829 + * if not is_slice: + * + * if start < 0: # <<<<<<<<<<<<<< + * start += shape + * if not 0 <= start < shape: + */ + __pyx_t_1 = ((__pyx_v_start < 0) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":830 + * + * if start < 0: + * start += shape # <<<<<<<<<<<<<< + * if not 0 <= start < shape: + * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) + */ + __pyx_v_start = (__pyx_v_start + __pyx_v_shape); + + /* "View.MemoryView":829 + * if not is_slice: + * + * if start < 0: # <<<<<<<<<<<<<< + * start += shape + * if not 0 <= start < shape: + */ + } + + /* "View.MemoryView":831 + * if start < 0: + * start += shape + * if not 0 <= start < shape: # <<<<<<<<<<<<<< + * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) + * else: + */ + __pyx_t_1 = (0 <= __pyx_v_start); + if (__pyx_t_1) { + __pyx_t_1 = (__pyx_v_start < __pyx_v_shape); + } + __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":832 + * start += shape + * if not 0 <= start < shape: + * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<< + * else: + * + */ + __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 832, __pyx_L1_error) + + /* "View.MemoryView":831 + * if start < 0: + * start += shape + * if not 0 <= start < shape: # <<<<<<<<<<<<<< + * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) + * else: + */ + } + + /* "View.MemoryView":827 + * cdef bint negative_step + * + * if not is_slice: # <<<<<<<<<<<<<< + * + * if start < 0: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":835 + * else: + * + * negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<< + * + * if have_step and step == 0: + */ + /*else*/ { + __pyx_t_1 = ((__pyx_v_have_step != 0) != 0); + if (__pyx_t_1) { + } else { + __pyx_t_2 = __pyx_t_1; + goto __pyx_L6_bool_binop_done; + } + __pyx_t_1 = ((__pyx_v_step < 0) != 0); + __pyx_t_2 = __pyx_t_1; + __pyx_L6_bool_binop_done:; + __pyx_v_negative_step = __pyx_t_2; + + /* "View.MemoryView":837 + * negative_step = have_step != 0 and step < 0 + * + * if have_step and step == 0: # <<<<<<<<<<<<<< + * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) + * + */ + __pyx_t_1 = (__pyx_v_have_step != 0); + if (__pyx_t_1) { + } else { + __pyx_t_2 = __pyx_t_1; + goto __pyx_L9_bool_binop_done; + } + __pyx_t_1 = ((__pyx_v_step == 0) != 0); + __pyx_t_2 = __pyx_t_1; + __pyx_L9_bool_binop_done:; + if (__pyx_t_2) { + + /* "View.MemoryView":838 + * + * if have_step and step == 0: + * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 838, __pyx_L1_error) + + /* "View.MemoryView":837 + * negative_step = have_step != 0 and step < 0 + * + * if have_step and step == 0: # <<<<<<<<<<<<<< + * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) + * + */ + } + + /* "View.MemoryView":841 + * + * + * if have_start: # <<<<<<<<<<<<<< + * if start < 0: + * start += shape + */ + __pyx_t_2 = (__pyx_v_have_start != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":842 + * + * if have_start: + * if start < 0: # <<<<<<<<<<<<<< + * start += shape + * if start < 0: + */ + __pyx_t_2 = ((__pyx_v_start < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":843 + * if have_start: + * if start < 0: + * start += shape # <<<<<<<<<<<<<< + * if start < 0: + * start = 0 + */ + __pyx_v_start = (__pyx_v_start + __pyx_v_shape); + + /* "View.MemoryView":844 + * if start < 0: + * start += shape + * if start < 0: # <<<<<<<<<<<<<< + * start = 0 + * elif start >= shape: + */ + __pyx_t_2 = ((__pyx_v_start < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":845 + * start += shape + * if start < 0: + * start = 0 # <<<<<<<<<<<<<< + * elif start >= shape: + * if negative_step: + */ + __pyx_v_start = 0; + + /* "View.MemoryView":844 + * if start < 0: + * start += shape + * if start < 0: # <<<<<<<<<<<<<< + * start = 0 + * elif start >= shape: + */ + } + + /* "View.MemoryView":842 + * + * if have_start: + * if start < 0: # <<<<<<<<<<<<<< + * start += shape + * if start < 0: + */ + goto __pyx_L12; + } + + /* "View.MemoryView":846 + * if start < 0: + * start = 0 + * elif start >= shape: # <<<<<<<<<<<<<< + * if negative_step: + * start = shape - 1 + */ + __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":847 + * start = 0 + * elif start >= shape: + * if negative_step: # <<<<<<<<<<<<<< + * start = shape - 1 + * else: + */ + __pyx_t_2 = (__pyx_v_negative_step != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":848 + * elif start >= shape: + * if negative_step: + * start = shape - 1 # <<<<<<<<<<<<<< + * else: + * start = shape + */ + __pyx_v_start = (__pyx_v_shape - 1); + + /* "View.MemoryView":847 + * start = 0 + * elif start >= shape: + * if negative_step: # <<<<<<<<<<<<<< + * start = shape - 1 + * else: + */ + goto __pyx_L14; + } + + /* "View.MemoryView":850 + * start = shape - 1 + * else: + * start = shape # <<<<<<<<<<<<<< + * else: + * if negative_step: + */ + /*else*/ { + __pyx_v_start = __pyx_v_shape; + } + __pyx_L14:; + + /* "View.MemoryView":846 + * if start < 0: + * start = 0 + * elif start >= shape: # <<<<<<<<<<<<<< + * if negative_step: + * start = shape - 1 + */ + } + __pyx_L12:; + + /* "View.MemoryView":841 + * + * + * if have_start: # <<<<<<<<<<<<<< + * if start < 0: + * start += shape + */ + goto __pyx_L11; + } + + /* "View.MemoryView":852 + * start = shape + * else: + * if negative_step: # <<<<<<<<<<<<<< + * start = shape - 1 + * else: + */ + /*else*/ { + __pyx_t_2 = (__pyx_v_negative_step != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":853 + * else: + * if negative_step: + * start = shape - 1 # <<<<<<<<<<<<<< + * else: + * start = 0 + */ + __pyx_v_start = (__pyx_v_shape - 1); + + /* "View.MemoryView":852 + * start = shape + * else: + * if negative_step: # <<<<<<<<<<<<<< + * start = shape - 1 + * else: + */ + goto __pyx_L15; + } + + /* "View.MemoryView":855 + * start = shape - 1 + * else: + * start = 0 # <<<<<<<<<<<<<< + * + * if have_stop: + */ + /*else*/ { + __pyx_v_start = 0; + } + __pyx_L15:; + } + __pyx_L11:; + + /* "View.MemoryView":857 + * start = 0 + * + * if have_stop: # <<<<<<<<<<<<<< + * if stop < 0: + * stop += shape + */ + __pyx_t_2 = (__pyx_v_have_stop != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":858 + * + * if have_stop: + * if stop < 0: # <<<<<<<<<<<<<< + * stop += shape + * if stop < 0: + */ + __pyx_t_2 = ((__pyx_v_stop < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":859 + * if have_stop: + * if stop < 0: + * stop += shape # <<<<<<<<<<<<<< + * if stop < 0: + * stop = 0 + */ + __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape); + + /* "View.MemoryView":860 + * if stop < 0: + * stop += shape + * if stop < 0: # <<<<<<<<<<<<<< + * stop = 0 + * elif stop > shape: + */ + __pyx_t_2 = ((__pyx_v_stop < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":861 + * stop += shape + * if stop < 0: + * stop = 0 # <<<<<<<<<<<<<< + * elif stop > shape: + * stop = shape + */ + __pyx_v_stop = 0; + + /* "View.MemoryView":860 + * if stop < 0: + * stop += shape + * if stop < 0: # <<<<<<<<<<<<<< + * stop = 0 + * elif stop > shape: + */ + } + + /* "View.MemoryView":858 + * + * if have_stop: + * if stop < 0: # <<<<<<<<<<<<<< + * stop += shape + * if stop < 0: + */ + goto __pyx_L17; + } + + /* "View.MemoryView":862 + * if stop < 0: + * stop = 0 + * elif stop > shape: # <<<<<<<<<<<<<< + * stop = shape + * else: + */ + __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":863 + * stop = 0 + * elif stop > shape: + * stop = shape # <<<<<<<<<<<<<< + * else: + * if negative_step: + */ + __pyx_v_stop = __pyx_v_shape; + + /* "View.MemoryView":862 + * if stop < 0: + * stop = 0 + * elif stop > shape: # <<<<<<<<<<<<<< + * stop = shape + * else: + */ + } + __pyx_L17:; + + /* "View.MemoryView":857 + * start = 0 + * + * if have_stop: # <<<<<<<<<<<<<< + * if stop < 0: + * stop += shape + */ + goto __pyx_L16; + } + + /* "View.MemoryView":865 + * stop = shape + * else: + * if negative_step: # <<<<<<<<<<<<<< + * stop = -1 + * else: + */ + /*else*/ { + __pyx_t_2 = (__pyx_v_negative_step != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":866 + * else: + * if negative_step: + * stop = -1 # <<<<<<<<<<<<<< + * else: + * stop = shape + */ + __pyx_v_stop = -1L; + + /* "View.MemoryView":865 + * stop = shape + * else: + * if negative_step: # <<<<<<<<<<<<<< + * stop = -1 + * else: + */ + goto __pyx_L19; + } + + /* "View.MemoryView":868 + * stop = -1 + * else: + * stop = shape # <<<<<<<<<<<<<< + * + * if not have_step: + */ + /*else*/ { + __pyx_v_stop = __pyx_v_shape; + } + __pyx_L19:; + } + __pyx_L16:; + + /* "View.MemoryView":870 + * stop = shape + * + * if not have_step: # <<<<<<<<<<<<<< + * step = 1 + * + */ + __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":871 + * + * if not have_step: + * step = 1 # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_step = 1; + + /* "View.MemoryView":870 + * stop = shape + * + * if not have_step: # <<<<<<<<<<<<<< + * step = 1 + * + */ + } + + /* "View.MemoryView":875 + * + * with cython.cdivision(True): + * new_shape = (stop - start) // step # <<<<<<<<<<<<<< + * + * if (stop - start) - step * new_shape: + */ + __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step); + + /* "View.MemoryView":877 + * new_shape = (stop - start) // step + * + * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< + * new_shape += 1 + * + */ + __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":878 + * + * if (stop - start) - step * new_shape: + * new_shape += 1 # <<<<<<<<<<<<<< + * + * if new_shape < 0: + */ + __pyx_v_new_shape = (__pyx_v_new_shape + 1); + + /* "View.MemoryView":877 + * new_shape = (stop - start) // step + * + * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< + * new_shape += 1 + * + */ + } + + /* "View.MemoryView":880 + * new_shape += 1 + * + * if new_shape < 0: # <<<<<<<<<<<<<< + * new_shape = 0 + * + */ + __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":881 + * + * if new_shape < 0: + * new_shape = 0 # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_new_shape = 0; + + /* "View.MemoryView":880 + * new_shape += 1 + * + * if new_shape < 0: # <<<<<<<<<<<<<< + * new_shape = 0 + * + */ + } + + /* "View.MemoryView":884 + * + * + * dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<< + * dst.shape[new_ndim] = new_shape + * dst.suboffsets[new_ndim] = suboffset + */ + (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step); + + /* "View.MemoryView":885 + * + * dst.strides[new_ndim] = stride * step + * dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<< + * dst.suboffsets[new_ndim] = suboffset + * + */ + (__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape; + + /* "View.MemoryView":886 + * dst.strides[new_ndim] = stride * step + * dst.shape[new_ndim] = new_shape + * dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<< + * + * + */ + (__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset; + } + __pyx_L3:; + + /* "View.MemoryView":889 + * + * + * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< + * dst.data += start * stride + * else: + */ + __pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":890 + * + * if suboffset_dim[0] < 0: + * dst.data += start * stride # <<<<<<<<<<<<<< + * else: + * dst.suboffsets[suboffset_dim[0]] += start * stride + */ + __pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride)); + + /* "View.MemoryView":889 + * + * + * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< + * dst.data += start * stride + * else: + */ + goto __pyx_L23; + } + + /* "View.MemoryView":892 + * dst.data += start * stride + * else: + * dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<< + * + * if suboffset >= 0: + */ + /*else*/ { + __pyx_t_3 = (__pyx_v_suboffset_dim[0]); + (__pyx_v_dst->suboffsets[__pyx_t_3]) = ((__pyx_v_dst->suboffsets[__pyx_t_3]) + (__pyx_v_start * __pyx_v_stride)); + } + __pyx_L23:; + + /* "View.MemoryView":894 + * dst.suboffsets[suboffset_dim[0]] += start * stride + * + * if suboffset >= 0: # <<<<<<<<<<<<<< + * if not is_slice: + * if new_ndim == 0: + */ + __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":895 + * + * if suboffset >= 0: + * if not is_slice: # <<<<<<<<<<<<<< + * if new_ndim == 0: + * dst.data = ( dst.data)[0] + suboffset + */ + __pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":896 + * if suboffset >= 0: + * if not is_slice: + * if new_ndim == 0: # <<<<<<<<<<<<<< + * dst.data = ( dst.data)[0] + suboffset + * else: + */ + __pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":897 + * if not is_slice: + * if new_ndim == 0: + * dst.data = ( dst.data)[0] + suboffset # <<<<<<<<<<<<<< + * else: + * _err_dim(IndexError, "All dimensions preceding dimension %d " + */ + __pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset); + + /* "View.MemoryView":896 + * if suboffset >= 0: + * if not is_slice: + * if new_ndim == 0: # <<<<<<<<<<<<<< + * dst.data = ( dst.data)[0] + suboffset + * else: + */ + goto __pyx_L26; + } + + /* "View.MemoryView":899 + * dst.data = ( dst.data)[0] + suboffset + * else: + * _err_dim(IndexError, "All dimensions preceding dimension %d " # <<<<<<<<<<<<<< + * "must be indexed and not sliced", dim) + * else: + */ + /*else*/ { + + /* "View.MemoryView":900 + * else: + * _err_dim(IndexError, "All dimensions preceding dimension %d " + * "must be indexed and not sliced", dim) # <<<<<<<<<<<<<< + * else: + * suboffset_dim[0] = new_ndim + */ + __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"All dimensions preceding dimension %d must be indexed and not sliced"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 899, __pyx_L1_error) + } + __pyx_L26:; + + /* "View.MemoryView":895 + * + * if suboffset >= 0: + * if not is_slice: # <<<<<<<<<<<<<< + * if new_ndim == 0: + * dst.data = ( dst.data)[0] + suboffset + */ + goto __pyx_L25; + } + + /* "View.MemoryView":902 + * "must be indexed and not sliced", dim) + * else: + * suboffset_dim[0] = new_ndim # <<<<<<<<<<<<<< + * + * return 0 + */ + /*else*/ { + (__pyx_v_suboffset_dim[0]) = __pyx_v_new_ndim; + } + __pyx_L25:; + + /* "View.MemoryView":894 + * dst.suboffsets[suboffset_dim[0]] += start * stride + * + * if suboffset >= 0: # <<<<<<<<<<<<<< + * if not is_slice: + * if new_ndim == 0: + */ + } + + /* "View.MemoryView":904 + * suboffset_dim[0] = new_ndim + * + * return 0 # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = 0; + goto __pyx_L0; + + /* "View.MemoryView":807 + * + * @cname('__pyx_memoryview_slice_memviewslice') + * cdef int slice_memviewslice( # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset, + */ + + /* function exit code */ + __pyx_L1_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_AddTraceback("View.MemoryView.slice_memviewslice", __pyx_clineno, __pyx_lineno, __pyx_filename); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_r = -1; + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":910 + * + * @cname('__pyx_pybuffer_index') + * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, # <<<<<<<<<<<<<< + * Py_ssize_t dim) except NULL: + * cdef Py_ssize_t shape, stride, suboffset = -1 + */ + +static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, Py_ssize_t __pyx_v_index, Py_ssize_t __pyx_v_dim) { + Py_ssize_t __pyx_v_shape; + Py_ssize_t __pyx_v_stride; + Py_ssize_t __pyx_v_suboffset; + Py_ssize_t __pyx_v_itemsize; + char *__pyx_v_resultp; + char *__pyx_r; + __Pyx_RefNannyDeclarations + Py_ssize_t __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("pybuffer_index", 0); + + /* "View.MemoryView":912 + * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, + * Py_ssize_t dim) except NULL: + * cdef Py_ssize_t shape, stride, suboffset = -1 # <<<<<<<<<<<<<< + * cdef Py_ssize_t itemsize = view.itemsize + * cdef char *resultp + */ + __pyx_v_suboffset = -1L; + + /* "View.MemoryView":913 + * Py_ssize_t dim) except NULL: + * cdef Py_ssize_t shape, stride, suboffset = -1 + * cdef Py_ssize_t itemsize = view.itemsize # <<<<<<<<<<<<<< + * cdef char *resultp + * + */ + __pyx_t_1 = __pyx_v_view->itemsize; + __pyx_v_itemsize = __pyx_t_1; + + /* "View.MemoryView":916 + * cdef char *resultp + * + * if view.ndim == 0: # <<<<<<<<<<<<<< + * shape = view.len / itemsize + * stride = itemsize + */ + __pyx_t_2 = ((__pyx_v_view->ndim == 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":917 + * + * if view.ndim == 0: + * shape = view.len / itemsize # <<<<<<<<<<<<<< + * stride = itemsize + * else: + */ + if (unlikely(__pyx_v_itemsize == 0)) { + PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero"); + __PYX_ERR(2, 917, __pyx_L1_error) + } + else if (sizeof(Py_ssize_t) == sizeof(long) && (!(((Py_ssize_t)-1) > 0)) && unlikely(__pyx_v_itemsize == (Py_ssize_t)-1) && unlikely(UNARY_NEG_WOULD_OVERFLOW(__pyx_v_view->len))) { + PyErr_SetString(PyExc_OverflowError, "value too large to perform division"); + __PYX_ERR(2, 917, __pyx_L1_error) + } + __pyx_v_shape = __Pyx_div_Py_ssize_t(__pyx_v_view->len, __pyx_v_itemsize); + + /* "View.MemoryView":918 + * if view.ndim == 0: + * shape = view.len / itemsize + * stride = itemsize # <<<<<<<<<<<<<< + * else: + * shape = view.shape[dim] + */ + __pyx_v_stride = __pyx_v_itemsize; + + /* "View.MemoryView":916 + * cdef char *resultp + * + * if view.ndim == 0: # <<<<<<<<<<<<<< + * shape = view.len / itemsize + * stride = itemsize + */ + goto __pyx_L3; + } + + /* "View.MemoryView":920 + * stride = itemsize + * else: + * shape = view.shape[dim] # <<<<<<<<<<<<<< + * stride = view.strides[dim] + * if view.suboffsets != NULL: + */ + /*else*/ { + __pyx_v_shape = (__pyx_v_view->shape[__pyx_v_dim]); + + /* "View.MemoryView":921 + * else: + * shape = view.shape[dim] + * stride = view.strides[dim] # <<<<<<<<<<<<<< + * if view.suboffsets != NULL: + * suboffset = view.suboffsets[dim] + */ + __pyx_v_stride = (__pyx_v_view->strides[__pyx_v_dim]); + + /* "View.MemoryView":922 + * shape = view.shape[dim] + * stride = view.strides[dim] + * if view.suboffsets != NULL: # <<<<<<<<<<<<<< + * suboffset = view.suboffsets[dim] + * + */ + __pyx_t_2 = ((__pyx_v_view->suboffsets != NULL) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":923 + * stride = view.strides[dim] + * if view.suboffsets != NULL: + * suboffset = view.suboffsets[dim] # <<<<<<<<<<<<<< + * + * if index < 0: + */ + __pyx_v_suboffset = (__pyx_v_view->suboffsets[__pyx_v_dim]); + + /* "View.MemoryView":922 + * shape = view.shape[dim] + * stride = view.strides[dim] + * if view.suboffsets != NULL: # <<<<<<<<<<<<<< + * suboffset = view.suboffsets[dim] + * + */ + } + } + __pyx_L3:; + + /* "View.MemoryView":925 + * suboffset = view.suboffsets[dim] + * + * if index < 0: # <<<<<<<<<<<<<< + * index += view.shape[dim] + * if index < 0: + */ + __pyx_t_2 = ((__pyx_v_index < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":926 + * + * if index < 0: + * index += view.shape[dim] # <<<<<<<<<<<<<< + * if index < 0: + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + */ + __pyx_v_index = (__pyx_v_index + (__pyx_v_view->shape[__pyx_v_dim])); + + /* "View.MemoryView":927 + * if index < 0: + * index += view.shape[dim] + * if index < 0: # <<<<<<<<<<<<<< + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + */ + __pyx_t_2 = ((__pyx_v_index < 0) != 0); + if (unlikely(__pyx_t_2)) { + + /* "View.MemoryView":928 + * index += view.shape[dim] + * if index < 0: + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) # <<<<<<<<<<<<<< + * + * if index >= shape: + */ + __pyx_t_3 = PyInt_FromSsize_t(__pyx_v_dim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 928, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyString_Format(__pyx_kp_s_Out_of_bounds_on_buffer_access_a, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 928, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_IndexError, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 928, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 928, __pyx_L1_error) + + /* "View.MemoryView":927 + * if index < 0: + * index += view.shape[dim] + * if index < 0: # <<<<<<<<<<<<<< + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + */ + } + + /* "View.MemoryView":925 + * suboffset = view.suboffsets[dim] + * + * if index < 0: # <<<<<<<<<<<<<< + * index += view.shape[dim] + * if index < 0: + */ + } + + /* "View.MemoryView":930 + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + * if index >= shape: # <<<<<<<<<<<<<< + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + */ + __pyx_t_2 = ((__pyx_v_index >= __pyx_v_shape) != 0); + if (unlikely(__pyx_t_2)) { + + /* "View.MemoryView":931 + * + * if index >= shape: + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) # <<<<<<<<<<<<<< + * + * resultp = bufp + index * stride + */ + __pyx_t_3 = PyInt_FromSsize_t(__pyx_v_dim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 931, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyString_Format(__pyx_kp_s_Out_of_bounds_on_buffer_access_a, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 931, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_IndexError, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 931, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 931, __pyx_L1_error) + + /* "View.MemoryView":930 + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + * if index >= shape: # <<<<<<<<<<<<<< + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + */ + } + + /* "View.MemoryView":933 + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + * resultp = bufp + index * stride # <<<<<<<<<<<<<< + * if suboffset >= 0: + * resultp = ( resultp)[0] + suboffset + */ + __pyx_v_resultp = (__pyx_v_bufp + (__pyx_v_index * __pyx_v_stride)); + + /* "View.MemoryView":934 + * + * resultp = bufp + index * stride + * if suboffset >= 0: # <<<<<<<<<<<<<< + * resultp = ( resultp)[0] + suboffset + * + */ + __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":935 + * resultp = bufp + index * stride + * if suboffset >= 0: + * resultp = ( resultp)[0] + suboffset # <<<<<<<<<<<<<< + * + * return resultp + */ + __pyx_v_resultp = ((((char **)__pyx_v_resultp)[0]) + __pyx_v_suboffset); + + /* "View.MemoryView":934 + * + * resultp = bufp + index * stride + * if suboffset >= 0: # <<<<<<<<<<<<<< + * resultp = ( resultp)[0] + suboffset + * + */ + } + + /* "View.MemoryView":937 + * resultp = ( resultp)[0] + suboffset + * + * return resultp # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = __pyx_v_resultp; + goto __pyx_L0; + + /* "View.MemoryView":910 + * + * @cname('__pyx_pybuffer_index') + * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, # <<<<<<<<<<<<<< + * Py_ssize_t dim) except NULL: + * cdef Py_ssize_t shape, stride, suboffset = -1 + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_AddTraceback("View.MemoryView.pybuffer_index", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":943 + * + * @cname('__pyx_memslice_transpose') + * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: # <<<<<<<<<<<<<< + * cdef int ndim = memslice.memview.view.ndim + * + */ + +static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { + int __pyx_v_ndim; + Py_ssize_t *__pyx_v_shape; + Py_ssize_t *__pyx_v_strides; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_r; + int __pyx_t_1; + Py_ssize_t *__pyx_t_2; + long __pyx_t_3; + long __pyx_t_4; + Py_ssize_t __pyx_t_5; + Py_ssize_t __pyx_t_6; + int __pyx_t_7; + int __pyx_t_8; + int __pyx_t_9; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + + /* "View.MemoryView":944 + * @cname('__pyx_memslice_transpose') + * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: + * cdef int ndim = memslice.memview.view.ndim # <<<<<<<<<<<<<< + * + * cdef Py_ssize_t *shape = memslice.shape + */ + __pyx_t_1 = __pyx_v_memslice->memview->view.ndim; + __pyx_v_ndim = __pyx_t_1; + + /* "View.MemoryView":946 + * cdef int ndim = memslice.memview.view.ndim + * + * cdef Py_ssize_t *shape = memslice.shape # <<<<<<<<<<<<<< + * cdef Py_ssize_t *strides = memslice.strides + * + */ + __pyx_t_2 = __pyx_v_memslice->shape; + __pyx_v_shape = __pyx_t_2; + + /* "View.MemoryView":947 + * + * cdef Py_ssize_t *shape = memslice.shape + * cdef Py_ssize_t *strides = memslice.strides # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = __pyx_v_memslice->strides; + __pyx_v_strides = __pyx_t_2; + + /* "View.MemoryView":951 + * + * cdef int i, j + * for i in range(ndim / 2): # <<<<<<<<<<<<<< + * j = ndim - 1 - i + * strides[i], strides[j] = strides[j], strides[i] + */ + __pyx_t_3 = __Pyx_div_long(__pyx_v_ndim, 2); + __pyx_t_4 = __pyx_t_3; + for (__pyx_t_1 = 0; __pyx_t_1 < __pyx_t_4; __pyx_t_1+=1) { + __pyx_v_i = __pyx_t_1; + + /* "View.MemoryView":952 + * cdef int i, j + * for i in range(ndim / 2): + * j = ndim - 1 - i # <<<<<<<<<<<<<< + * strides[i], strides[j] = strides[j], strides[i] + * shape[i], shape[j] = shape[j], shape[i] + */ + __pyx_v_j = ((__pyx_v_ndim - 1) - __pyx_v_i); + + /* "View.MemoryView":953 + * for i in range(ndim / 2): + * j = ndim - 1 - i + * strides[i], strides[j] = strides[j], strides[i] # <<<<<<<<<<<<<< + * shape[i], shape[j] = shape[j], shape[i] + * + */ + __pyx_t_5 = (__pyx_v_strides[__pyx_v_j]); + __pyx_t_6 = (__pyx_v_strides[__pyx_v_i]); + (__pyx_v_strides[__pyx_v_i]) = __pyx_t_5; + (__pyx_v_strides[__pyx_v_j]) = __pyx_t_6; + + /* "View.MemoryView":954 + * j = ndim - 1 - i + * strides[i], strides[j] = strides[j], strides[i] + * shape[i], shape[j] = shape[j], shape[i] # <<<<<<<<<<<<<< + * + * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: + */ + __pyx_t_6 = (__pyx_v_shape[__pyx_v_j]); + __pyx_t_5 = (__pyx_v_shape[__pyx_v_i]); + (__pyx_v_shape[__pyx_v_i]) = __pyx_t_6; + (__pyx_v_shape[__pyx_v_j]) = __pyx_t_5; + + /* "View.MemoryView":956 + * shape[i], shape[j] = shape[j], shape[i] + * + * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: # <<<<<<<<<<<<<< + * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") + * + */ + __pyx_t_8 = (((__pyx_v_memslice->suboffsets[__pyx_v_i]) >= 0) != 0); + if (!__pyx_t_8) { + } else { + __pyx_t_7 = __pyx_t_8; + goto __pyx_L6_bool_binop_done; + } + __pyx_t_8 = (((__pyx_v_memslice->suboffsets[__pyx_v_j]) >= 0) != 0); + __pyx_t_7 = __pyx_t_8; + __pyx_L6_bool_binop_done:; + if (__pyx_t_7) { + + /* "View.MemoryView":957 + * + * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: + * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") # <<<<<<<<<<<<<< + * + * return 1 + */ + __pyx_t_9 = __pyx_memoryview_err(__pyx_builtin_ValueError, ((char *)"Cannot transpose memoryview with indirect dimensions")); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(2, 957, __pyx_L1_error) + + /* "View.MemoryView":956 + * shape[i], shape[j] = shape[j], shape[i] + * + * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: # <<<<<<<<<<<<<< + * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") + * + */ + } + } + + /* "View.MemoryView":959 + * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") + * + * return 1 # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = 1; + goto __pyx_L0; + + /* "View.MemoryView":943 + * + * @cname('__pyx_memslice_transpose') + * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: # <<<<<<<<<<<<<< + * cdef int ndim = memslice.memview.view.ndim + * + */ + + /* function exit code */ + __pyx_L1_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_AddTraceback("View.MemoryView.transpose_memslice", __pyx_clineno, __pyx_lineno, __pyx_filename); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_r = 0; + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":976 + * cdef int (*to_dtype_func)(char *, object) except 0 + * + * def __dealloc__(self): # <<<<<<<<<<<<<< + * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) + * + */ + +/* Python wrapper */ +static void __pyx_memoryviewslice___dealloc__(PyObject *__pyx_v_self); /*proto*/ +static void __pyx_memoryviewslice___dealloc__(PyObject *__pyx_v_self) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); + __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__dealloc__", 0); + + /* "View.MemoryView":977 + * + * def __dealloc__(self): + * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) # <<<<<<<<<<<<<< + * + * cdef convert_item_to_object(self, char *itemp): + */ + __PYX_XDEC_MEMVIEW((&__pyx_v_self->from_slice), 1); + + /* "View.MemoryView":976 + * cdef int (*to_dtype_func)(char *, object) except 0 + * + * def __dealloc__(self): # <<<<<<<<<<<<<< + * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) + * + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "View.MemoryView":979 + * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) + * + * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< + * if self.to_object_func != NULL: + * return self.to_object_func(itemp) + */ + +static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("convert_item_to_object", 0); + + /* "View.MemoryView":980 + * + * cdef convert_item_to_object(self, char *itemp): + * if self.to_object_func != NULL: # <<<<<<<<<<<<<< + * return self.to_object_func(itemp) + * else: + */ + __pyx_t_1 = ((__pyx_v_self->to_object_func != NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":981 + * cdef convert_item_to_object(self, char *itemp): + * if self.to_object_func != NULL: + * return self.to_object_func(itemp) # <<<<<<<<<<<<<< + * else: + * return memoryview.convert_item_to_object(self, itemp) + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __pyx_v_self->to_object_func(__pyx_v_itemp); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 981, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":980 + * + * cdef convert_item_to_object(self, char *itemp): + * if self.to_object_func != NULL: # <<<<<<<<<<<<<< + * return self.to_object_func(itemp) + * else: + */ + } + + /* "View.MemoryView":983 + * return self.to_object_func(itemp) + * else: + * return memoryview.convert_item_to_object(self, itemp) # <<<<<<<<<<<<<< + * + * cdef assign_item_from_object(self, char *itemp, object value): + */ + /*else*/ { + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __pyx_memoryview_convert_item_to_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 983, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + } + + /* "View.MemoryView":979 + * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) + * + * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< + * if self.to_object_func != NULL: + * return self.to_object_func(itemp) + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView._memoryviewslice.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":985 + * return memoryview.convert_item_to_object(self, itemp) + * + * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< + * if self.to_dtype_func != NULL: + * self.to_dtype_func(itemp, value) + */ + +static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("assign_item_from_object", 0); + + /* "View.MemoryView":986 + * + * cdef assign_item_from_object(self, char *itemp, object value): + * if self.to_dtype_func != NULL: # <<<<<<<<<<<<<< + * self.to_dtype_func(itemp, value) + * else: + */ + __pyx_t_1 = ((__pyx_v_self->to_dtype_func != NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":987 + * cdef assign_item_from_object(self, char *itemp, object value): + * if self.to_dtype_func != NULL: + * self.to_dtype_func(itemp, value) # <<<<<<<<<<<<<< + * else: + * memoryview.assign_item_from_object(self, itemp, value) + */ + __pyx_t_2 = __pyx_v_self->to_dtype_func(__pyx_v_itemp, __pyx_v_value); if (unlikely(__pyx_t_2 == ((int)0))) __PYX_ERR(2, 987, __pyx_L1_error) + + /* "View.MemoryView":986 + * + * cdef assign_item_from_object(self, char *itemp, object value): + * if self.to_dtype_func != NULL: # <<<<<<<<<<<<<< + * self.to_dtype_func(itemp, value) + * else: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":989 + * self.to_dtype_func(itemp, value) + * else: + * memoryview.assign_item_from_object(self, itemp, value) # <<<<<<<<<<<<<< + * + * @property + */ + /*else*/ { + __pyx_t_3 = __pyx_memoryview_assign_item_from_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 989, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } + __pyx_L3:; + + /* "View.MemoryView":985 + * return memoryview.convert_item_to_object(self, itemp) + * + * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< + * if self.to_dtype_func != NULL: + * self.to_dtype_func(itemp, value) + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView._memoryviewslice.assign_item_from_object", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":992 + * + * @property + * def base(self): # <<<<<<<<<<<<<< + * return self.from_object + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":993 + * @property + * def base(self): + * return self.from_object # <<<<<<<<<<<<<< + * + * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_self->from_object); + __pyx_r = __pyx_v_self->from_object; + goto __pyx_L0; + + /* "View.MemoryView":992 + * + * @property + * def base(self): # <<<<<<<<<<<<<< + * return self.from_object + * + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_memoryviewslice_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_pw___pyx_memoryviewslice_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__reduce_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_memoryviewslice___reduce_cython__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__reduce_cython__", 0); + + /* "(tree fragment)":2 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__33, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 2, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 2, __pyx_L1_error) + + /* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView._memoryviewslice.__reduce_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":3 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_memoryviewslice_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state); /*proto*/ +static PyObject *__pyx_pw___pyx_memoryviewslice_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__setstate_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_memoryviewslice_2__setstate_cython__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self), ((PyObject *)__pyx_v___pyx_state)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__setstate_cython__", 0); + + /* "(tree fragment)":4 + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__34, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 4, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 4, __pyx_L1_error) + + /* "(tree fragment)":3 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView._memoryviewslice.__setstate_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":999 + * + * @cname('__pyx_memoryview_fromslice') + * cdef memoryview_fromslice(__Pyx_memviewslice memviewslice, # <<<<<<<<<<<<<< + * int ndim, + * object (*to_object_func)(char *), + */ + +static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewslice, int __pyx_v_ndim, PyObject *(*__pyx_v_to_object_func)(char *), int (*__pyx_v_to_dtype_func)(char *, PyObject *), int __pyx_v_dtype_is_object) { + struct __pyx_memoryviewslice_obj *__pyx_v_result = 0; + Py_ssize_t __pyx_v_suboffset; + PyObject *__pyx_v_length = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + __Pyx_TypeInfo *__pyx_t_4; + Py_buffer __pyx_t_5; + Py_ssize_t *__pyx_t_6; + Py_ssize_t *__pyx_t_7; + Py_ssize_t *__pyx_t_8; + Py_ssize_t __pyx_t_9; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("memoryview_fromslice", 0); + + /* "View.MemoryView":1007 + * cdef _memoryviewslice result + * + * if memviewslice.memview == Py_None: # <<<<<<<<<<<<<< + * return None + * + */ + __pyx_t_1 = ((((PyObject *)__pyx_v_memviewslice.memview) == Py_None) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1008 + * + * if memviewslice.memview == Py_None: + * return None # <<<<<<<<<<<<<< + * + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + + /* "View.MemoryView":1007 + * cdef _memoryviewslice result + * + * if memviewslice.memview == Py_None: # <<<<<<<<<<<<<< + * return None + * + */ + } + + /* "View.MemoryView":1013 + * + * + * result = _memoryviewslice(None, 0, dtype_is_object) # <<<<<<<<<<<<<< + * + * result.from_slice = memviewslice + */ + __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1013, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1013, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(Py_None); + PyTuple_SET_ITEM(__pyx_t_3, 0, Py_None); + __Pyx_INCREF(__pyx_int_0); + __Pyx_GIVEREF(__pyx_int_0); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_int_0); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryviewslice_type), __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1013, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_result = ((struct __pyx_memoryviewslice_obj *)__pyx_t_2); + __pyx_t_2 = 0; + + /* "View.MemoryView":1015 + * result = _memoryviewslice(None, 0, dtype_is_object) + * + * result.from_slice = memviewslice # <<<<<<<<<<<<<< + * __PYX_INC_MEMVIEW(&memviewslice, 1) + * + */ + __pyx_v_result->from_slice = __pyx_v_memviewslice; + + /* "View.MemoryView":1016 + * + * result.from_slice = memviewslice + * __PYX_INC_MEMVIEW(&memviewslice, 1) # <<<<<<<<<<<<<< + * + * result.from_object = ( memviewslice.memview).base + */ + __PYX_INC_MEMVIEW((&__pyx_v_memviewslice), 1); + + /* "View.MemoryView":1018 + * __PYX_INC_MEMVIEW(&memviewslice, 1) + * + * result.from_object = ( memviewslice.memview).base # <<<<<<<<<<<<<< + * result.typeinfo = memviewslice.memview.typeinfo + * + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_memviewslice.memview), __pyx_n_s_base); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1018, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GIVEREF(__pyx_t_2); + __Pyx_GOTREF(__pyx_v_result->from_object); + __Pyx_DECREF(__pyx_v_result->from_object); + __pyx_v_result->from_object = __pyx_t_2; + __pyx_t_2 = 0; + + /* "View.MemoryView":1019 + * + * result.from_object = ( memviewslice.memview).base + * result.typeinfo = memviewslice.memview.typeinfo # <<<<<<<<<<<<<< + * + * result.view = memviewslice.memview.view + */ + __pyx_t_4 = __pyx_v_memviewslice.memview->typeinfo; + __pyx_v_result->__pyx_base.typeinfo = __pyx_t_4; + + /* "View.MemoryView":1021 + * result.typeinfo = memviewslice.memview.typeinfo + * + * result.view = memviewslice.memview.view # <<<<<<<<<<<<<< + * result.view.buf = memviewslice.data + * result.view.ndim = ndim + */ + __pyx_t_5 = __pyx_v_memviewslice.memview->view; + __pyx_v_result->__pyx_base.view = __pyx_t_5; + + /* "View.MemoryView":1022 + * + * result.view = memviewslice.memview.view + * result.view.buf = memviewslice.data # <<<<<<<<<<<<<< + * result.view.ndim = ndim + * (<__pyx_buffer *> &result.view).obj = Py_None + */ + __pyx_v_result->__pyx_base.view.buf = ((void *)__pyx_v_memviewslice.data); + + /* "View.MemoryView":1023 + * result.view = memviewslice.memview.view + * result.view.buf = memviewslice.data + * result.view.ndim = ndim # <<<<<<<<<<<<<< + * (<__pyx_buffer *> &result.view).obj = Py_None + * Py_INCREF(Py_None) + */ + __pyx_v_result->__pyx_base.view.ndim = __pyx_v_ndim; + + /* "View.MemoryView":1024 + * result.view.buf = memviewslice.data + * result.view.ndim = ndim + * (<__pyx_buffer *> &result.view).obj = Py_None # <<<<<<<<<<<<<< + * Py_INCREF(Py_None) + * + */ + ((Py_buffer *)(&__pyx_v_result->__pyx_base.view))->obj = Py_None; + + /* "View.MemoryView":1025 + * result.view.ndim = ndim + * (<__pyx_buffer *> &result.view).obj = Py_None + * Py_INCREF(Py_None) # <<<<<<<<<<<<<< + * + * if (memviewslice.memview).flags & PyBUF_WRITABLE: + */ + Py_INCREF(Py_None); + + /* "View.MemoryView":1027 + * Py_INCREF(Py_None) + * + * if (memviewslice.memview).flags & PyBUF_WRITABLE: # <<<<<<<<<<<<<< + * result.flags = PyBUF_RECORDS + * else: + */ + __pyx_t_1 = ((((struct __pyx_memoryview_obj *)__pyx_v_memviewslice.memview)->flags & PyBUF_WRITABLE) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1028 + * + * if (memviewslice.memview).flags & PyBUF_WRITABLE: + * result.flags = PyBUF_RECORDS # <<<<<<<<<<<<<< + * else: + * result.flags = PyBUF_RECORDS_RO + */ + __pyx_v_result->__pyx_base.flags = PyBUF_RECORDS; + + /* "View.MemoryView":1027 + * Py_INCREF(Py_None) + * + * if (memviewslice.memview).flags & PyBUF_WRITABLE: # <<<<<<<<<<<<<< + * result.flags = PyBUF_RECORDS + * else: + */ + goto __pyx_L4; + } + + /* "View.MemoryView":1030 + * result.flags = PyBUF_RECORDS + * else: + * result.flags = PyBUF_RECORDS_RO # <<<<<<<<<<<<<< + * + * result.view.shape = result.from_slice.shape + */ + /*else*/ { + __pyx_v_result->__pyx_base.flags = PyBUF_RECORDS_RO; + } + __pyx_L4:; + + /* "View.MemoryView":1032 + * result.flags = PyBUF_RECORDS_RO + * + * result.view.shape = result.from_slice.shape # <<<<<<<<<<<<<< + * result.view.strides = result.from_slice.strides + * + */ + __pyx_v_result->__pyx_base.view.shape = ((Py_ssize_t *)__pyx_v_result->from_slice.shape); + + /* "View.MemoryView":1033 + * + * result.view.shape = result.from_slice.shape + * result.view.strides = result.from_slice.strides # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_result->__pyx_base.view.strides = ((Py_ssize_t *)__pyx_v_result->from_slice.strides); + + /* "View.MemoryView":1036 + * + * + * result.view.suboffsets = NULL # <<<<<<<<<<<<<< + * for suboffset in result.from_slice.suboffsets[:ndim]: + * if suboffset >= 0: + */ + __pyx_v_result->__pyx_base.view.suboffsets = NULL; + + /* "View.MemoryView":1037 + * + * result.view.suboffsets = NULL + * for suboffset in result.from_slice.suboffsets[:ndim]: # <<<<<<<<<<<<<< + * if suboffset >= 0: + * result.view.suboffsets = result.from_slice.suboffsets + */ + __pyx_t_7 = (__pyx_v_result->from_slice.suboffsets + __pyx_v_ndim); + for (__pyx_t_8 = __pyx_v_result->from_slice.suboffsets; __pyx_t_8 < __pyx_t_7; __pyx_t_8++) { + __pyx_t_6 = __pyx_t_8; + __pyx_v_suboffset = (__pyx_t_6[0]); + + /* "View.MemoryView":1038 + * result.view.suboffsets = NULL + * for suboffset in result.from_slice.suboffsets[:ndim]: + * if suboffset >= 0: # <<<<<<<<<<<<<< + * result.view.suboffsets = result.from_slice.suboffsets + * break + */ + __pyx_t_1 = ((__pyx_v_suboffset >= 0) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1039 + * for suboffset in result.from_slice.suboffsets[:ndim]: + * if suboffset >= 0: + * result.view.suboffsets = result.from_slice.suboffsets # <<<<<<<<<<<<<< + * break + * + */ + __pyx_v_result->__pyx_base.view.suboffsets = ((Py_ssize_t *)__pyx_v_result->from_slice.suboffsets); + + /* "View.MemoryView":1040 + * if suboffset >= 0: + * result.view.suboffsets = result.from_slice.suboffsets + * break # <<<<<<<<<<<<<< + * + * result.view.len = result.view.itemsize + */ + goto __pyx_L6_break; + + /* "View.MemoryView":1038 + * result.view.suboffsets = NULL + * for suboffset in result.from_slice.suboffsets[:ndim]: + * if suboffset >= 0: # <<<<<<<<<<<<<< + * result.view.suboffsets = result.from_slice.suboffsets + * break + */ + } + } + __pyx_L6_break:; + + /* "View.MemoryView":1042 + * break + * + * result.view.len = result.view.itemsize # <<<<<<<<<<<<<< + * for length in result.view.shape[:ndim]: + * result.view.len *= length + */ + __pyx_t_9 = __pyx_v_result->__pyx_base.view.itemsize; + __pyx_v_result->__pyx_base.view.len = __pyx_t_9; + + /* "View.MemoryView":1043 + * + * result.view.len = result.view.itemsize + * for length in result.view.shape[:ndim]: # <<<<<<<<<<<<<< + * result.view.len *= length + * + */ + __pyx_t_7 = (__pyx_v_result->__pyx_base.view.shape + __pyx_v_ndim); + for (__pyx_t_8 = __pyx_v_result->__pyx_base.view.shape; __pyx_t_8 < __pyx_t_7; __pyx_t_8++) { + __pyx_t_6 = __pyx_t_8; + __pyx_t_2 = PyInt_FromSsize_t((__pyx_t_6[0])); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1043, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_XDECREF_SET(__pyx_v_length, __pyx_t_2); + __pyx_t_2 = 0; + + /* "View.MemoryView":1044 + * result.view.len = result.view.itemsize + * for length in result.view.shape[:ndim]: + * result.view.len *= length # <<<<<<<<<<<<<< + * + * result.to_object_func = to_object_func + */ + __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_result->__pyx_base.view.len); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1044, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyNumber_InPlaceMultiply(__pyx_t_2, __pyx_v_length); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1044, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_9 = __Pyx_PyIndex_AsSsize_t(__pyx_t_3); if (unlikely((__pyx_t_9 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 1044, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_result->__pyx_base.view.len = __pyx_t_9; + } + + /* "View.MemoryView":1046 + * result.view.len *= length + * + * result.to_object_func = to_object_func # <<<<<<<<<<<<<< + * result.to_dtype_func = to_dtype_func + * + */ + __pyx_v_result->to_object_func = __pyx_v_to_object_func; + + /* "View.MemoryView":1047 + * + * result.to_object_func = to_object_func + * result.to_dtype_func = to_dtype_func # <<<<<<<<<<<<<< + * + * return result + */ + __pyx_v_result->to_dtype_func = __pyx_v_to_dtype_func; + + /* "View.MemoryView":1049 + * result.to_dtype_func = to_dtype_func + * + * return result # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_get_slice_from_memoryview') + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(((PyObject *)__pyx_v_result)); + __pyx_r = ((PyObject *)__pyx_v_result); + goto __pyx_L0; + + /* "View.MemoryView":999 + * + * @cname('__pyx_memoryview_fromslice') + * cdef memoryview_fromslice(__Pyx_memviewslice memviewslice, # <<<<<<<<<<<<<< + * int ndim, + * object (*to_object_func)(char *), + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview_fromslice", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_result); + __Pyx_XDECREF(__pyx_v_length); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":1052 + * + * @cname('__pyx_memoryview_get_slice_from_memoryview') + * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *mslice) except NULL: + * cdef _memoryviewslice obj + */ + +static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_mslice) { + struct __pyx_memoryviewslice_obj *__pyx_v_obj = 0; + __Pyx_memviewslice *__pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("get_slice_from_memview", 0); + + /* "View.MemoryView":1055 + * __Pyx_memviewslice *mslice) except NULL: + * cdef _memoryviewslice obj + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * obj = memview + * return &obj.from_slice + */ + __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1056 + * cdef _memoryviewslice obj + * if isinstance(memview, _memoryviewslice): + * obj = memview # <<<<<<<<<<<<<< + * return &obj.from_slice + * else: + */ + if (!(likely(((((PyObject *)__pyx_v_memview)) == Py_None) || likely(__Pyx_TypeTest(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type))))) __PYX_ERR(2, 1056, __pyx_L1_error) + __pyx_t_3 = ((PyObject *)__pyx_v_memview); + __Pyx_INCREF(__pyx_t_3); + __pyx_v_obj = ((struct __pyx_memoryviewslice_obj *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "View.MemoryView":1057 + * if isinstance(memview, _memoryviewslice): + * obj = memview + * return &obj.from_slice # <<<<<<<<<<<<<< + * else: + * slice_copy(memview, mslice) + */ + __pyx_r = (&__pyx_v_obj->from_slice); + goto __pyx_L0; + + /* "View.MemoryView":1055 + * __Pyx_memviewslice *mslice) except NULL: + * cdef _memoryviewslice obj + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * obj = memview + * return &obj.from_slice + */ + } + + /* "View.MemoryView":1059 + * return &obj.from_slice + * else: + * slice_copy(memview, mslice) # <<<<<<<<<<<<<< + * return mslice + * + */ + /*else*/ { + __pyx_memoryview_slice_copy(__pyx_v_memview, __pyx_v_mslice); + + /* "View.MemoryView":1060 + * else: + * slice_copy(memview, mslice) + * return mslice # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_slice_copy') + */ + __pyx_r = __pyx_v_mslice; + goto __pyx_L0; + } + + /* "View.MemoryView":1052 + * + * @cname('__pyx_memoryview_get_slice_from_memoryview') + * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *mslice) except NULL: + * cdef _memoryviewslice obj + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.get_slice_from_memview", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_obj); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":1063 + * + * @cname('__pyx_memoryview_slice_copy') + * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< + * cdef int dim + * cdef (Py_ssize_t*) shape, strides, suboffsets + */ + +static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_dst) { + int __pyx_v_dim; + Py_ssize_t *__pyx_v_shape; + Py_ssize_t *__pyx_v_strides; + Py_ssize_t *__pyx_v_suboffsets; + __Pyx_RefNannyDeclarations + Py_ssize_t *__pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + Py_ssize_t __pyx_t_5; + __Pyx_RefNannySetupContext("slice_copy", 0); + + /* "View.MemoryView":1067 + * cdef (Py_ssize_t*) shape, strides, suboffsets + * + * shape = memview.view.shape # <<<<<<<<<<<<<< + * strides = memview.view.strides + * suboffsets = memview.view.suboffsets + */ + __pyx_t_1 = __pyx_v_memview->view.shape; + __pyx_v_shape = __pyx_t_1; + + /* "View.MemoryView":1068 + * + * shape = memview.view.shape + * strides = memview.view.strides # <<<<<<<<<<<<<< + * suboffsets = memview.view.suboffsets + * + */ + __pyx_t_1 = __pyx_v_memview->view.strides; + __pyx_v_strides = __pyx_t_1; + + /* "View.MemoryView":1069 + * shape = memview.view.shape + * strides = memview.view.strides + * suboffsets = memview.view.suboffsets # <<<<<<<<<<<<<< + * + * dst.memview = <__pyx_memoryview *> memview + */ + __pyx_t_1 = __pyx_v_memview->view.suboffsets; + __pyx_v_suboffsets = __pyx_t_1; + + /* "View.MemoryView":1071 + * suboffsets = memview.view.suboffsets + * + * dst.memview = <__pyx_memoryview *> memview # <<<<<<<<<<<<<< + * dst.data = memview.view.buf + * + */ + __pyx_v_dst->memview = ((struct __pyx_memoryview_obj *)__pyx_v_memview); + + /* "View.MemoryView":1072 + * + * dst.memview = <__pyx_memoryview *> memview + * dst.data = memview.view.buf # <<<<<<<<<<<<<< + * + * for dim in range(memview.view.ndim): + */ + __pyx_v_dst->data = ((char *)__pyx_v_memview->view.buf); + + /* "View.MemoryView":1074 + * dst.data = memview.view.buf + * + * for dim in range(memview.view.ndim): # <<<<<<<<<<<<<< + * dst.shape[dim] = shape[dim] + * dst.strides[dim] = strides[dim] + */ + __pyx_t_2 = __pyx_v_memview->view.ndim; + __pyx_t_3 = __pyx_t_2; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_dim = __pyx_t_4; + + /* "View.MemoryView":1075 + * + * for dim in range(memview.view.ndim): + * dst.shape[dim] = shape[dim] # <<<<<<<<<<<<<< + * dst.strides[dim] = strides[dim] + * dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1 + */ + (__pyx_v_dst->shape[__pyx_v_dim]) = (__pyx_v_shape[__pyx_v_dim]); + + /* "View.MemoryView":1076 + * for dim in range(memview.view.ndim): + * dst.shape[dim] = shape[dim] + * dst.strides[dim] = strides[dim] # <<<<<<<<<<<<<< + * dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1 + * + */ + (__pyx_v_dst->strides[__pyx_v_dim]) = (__pyx_v_strides[__pyx_v_dim]); + + /* "View.MemoryView":1077 + * dst.shape[dim] = shape[dim] + * dst.strides[dim] = strides[dim] + * dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1 # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_copy_object') + */ + if ((__pyx_v_suboffsets != 0)) { + __pyx_t_5 = (__pyx_v_suboffsets[__pyx_v_dim]); + } else { + __pyx_t_5 = -1L; + } + (__pyx_v_dst->suboffsets[__pyx_v_dim]) = __pyx_t_5; + } + + /* "View.MemoryView":1063 + * + * @cname('__pyx_memoryview_slice_copy') + * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< + * cdef int dim + * cdef (Py_ssize_t*) shape, strides, suboffsets + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "View.MemoryView":1080 + * + * @cname('__pyx_memoryview_copy_object') + * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< + * "Create a new memoryview object" + * cdef __Pyx_memviewslice memviewslice + */ + +static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx_v_memview) { + __Pyx_memviewslice __pyx_v_memviewslice; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("memoryview_copy", 0); + + /* "View.MemoryView":1083 + * "Create a new memoryview object" + * cdef __Pyx_memviewslice memviewslice + * slice_copy(memview, &memviewslice) # <<<<<<<<<<<<<< + * return memoryview_copy_from_slice(memview, &memviewslice) + * + */ + __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_memviewslice)); + + /* "View.MemoryView":1084 + * cdef __Pyx_memviewslice memviewslice + * slice_copy(memview, &memviewslice) + * return memoryview_copy_from_slice(memview, &memviewslice) # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_copy_object_from_slice') + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __pyx_memoryview_copy_object_from_slice(__pyx_v_memview, (&__pyx_v_memviewslice)); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 1084, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "View.MemoryView":1080 + * + * @cname('__pyx_memoryview_copy_object') + * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< + * "Create a new memoryview object" + * cdef __Pyx_memviewslice memviewslice + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.memoryview_copy", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":1087 + * + * @cname('__pyx_memoryview_copy_object_from_slice') + * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< + * """ + * Create a new memoryview object from a given memoryview object and slice. + */ + +static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_memviewslice) { + PyObject *(*__pyx_v_to_object_func)(char *); + int (*__pyx_v_to_dtype_func)(char *, PyObject *); + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *(*__pyx_t_3)(char *); + int (*__pyx_t_4)(char *, PyObject *); + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("memoryview_copy_from_slice", 0); + + /* "View.MemoryView":1094 + * cdef int (*to_dtype_func)(char *, object) except 0 + * + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * to_object_func = (<_memoryviewslice> memview).to_object_func + * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func + */ + __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1095 + * + * if isinstance(memview, _memoryviewslice): + * to_object_func = (<_memoryviewslice> memview).to_object_func # <<<<<<<<<<<<<< + * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func + * else: + */ + __pyx_t_3 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_object_func; + __pyx_v_to_object_func = __pyx_t_3; + + /* "View.MemoryView":1096 + * if isinstance(memview, _memoryviewslice): + * to_object_func = (<_memoryviewslice> memview).to_object_func + * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func # <<<<<<<<<<<<<< + * else: + * to_object_func = NULL + */ + __pyx_t_4 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_dtype_func; + __pyx_v_to_dtype_func = __pyx_t_4; + + /* "View.MemoryView":1094 + * cdef int (*to_dtype_func)(char *, object) except 0 + * + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * to_object_func = (<_memoryviewslice> memview).to_object_func + * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1098 + * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func + * else: + * to_object_func = NULL # <<<<<<<<<<<<<< + * to_dtype_func = NULL + * + */ + /*else*/ { + __pyx_v_to_object_func = NULL; + + /* "View.MemoryView":1099 + * else: + * to_object_func = NULL + * to_dtype_func = NULL # <<<<<<<<<<<<<< + * + * return memoryview_fromslice(memviewslice[0], memview.view.ndim, + */ + __pyx_v_to_dtype_func = NULL; + } + __pyx_L3:; + + /* "View.MemoryView":1101 + * to_dtype_func = NULL + * + * return memoryview_fromslice(memviewslice[0], memview.view.ndim, # <<<<<<<<<<<<<< + * to_object_func, to_dtype_func, + * memview.dtype_is_object) + */ + __Pyx_XDECREF(__pyx_r); + + /* "View.MemoryView":1103 + * return memoryview_fromslice(memviewslice[0], memview.view.ndim, + * to_object_func, to_dtype_func, + * memview.dtype_is_object) # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 1101, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_r = __pyx_t_5; + __pyx_t_5 = 0; + goto __pyx_L0; + + /* "View.MemoryView":1087 + * + * @cname('__pyx_memoryview_copy_object_from_slice') + * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< + * """ + * Create a new memoryview object from a given memoryview object and slice. + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.memoryview_copy_from_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":1109 + * + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< + * if arg < 0: + * return -arg + */ + +static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { + Py_ssize_t __pyx_r; + int __pyx_t_1; + + /* "View.MemoryView":1110 + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: + * if arg < 0: # <<<<<<<<<<<<<< + * return -arg + * else: + */ + __pyx_t_1 = ((__pyx_v_arg < 0) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1111 + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: + * if arg < 0: + * return -arg # <<<<<<<<<<<<<< + * else: + * return arg + */ + __pyx_r = (-__pyx_v_arg); + goto __pyx_L0; + + /* "View.MemoryView":1110 + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: + * if arg < 0: # <<<<<<<<<<<<<< + * return -arg + * else: + */ + } + + /* "View.MemoryView":1113 + * return -arg + * else: + * return arg # <<<<<<<<<<<<<< + * + * @cname('__pyx_get_best_slice_order') + */ + /*else*/ { + __pyx_r = __pyx_v_arg; + goto __pyx_L0; + } + + /* "View.MemoryView":1109 + * + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< + * if arg < 0: + * return -arg + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1116 + * + * @cname('__pyx_get_best_slice_order') + * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< + * """ + * Figure out the best memory access order for a given slice. + */ + +static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) { + int __pyx_v_i; + Py_ssize_t __pyx_v_c_stride; + Py_ssize_t __pyx_v_f_stride; + char __pyx_r; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + + /* "View.MemoryView":1121 + * """ + * cdef int i + * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< + * cdef Py_ssize_t f_stride = 0 + * + */ + __pyx_v_c_stride = 0; + + /* "View.MemoryView":1122 + * cdef int i + * cdef Py_ssize_t c_stride = 0 + * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< + * + * for i in range(ndim - 1, -1, -1): + */ + __pyx_v_f_stride = 0; + + /* "View.MemoryView":1124 + * cdef Py_ssize_t f_stride = 0 + * + * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< + * if mslice.shape[i] > 1: + * c_stride = mslice.strides[i] + */ + for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { + __pyx_v_i = __pyx_t_1; + + /* "View.MemoryView":1125 + * + * for i in range(ndim - 1, -1, -1): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * c_stride = mslice.strides[i] + * break + */ + __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1126 + * for i in range(ndim - 1, -1, -1): + * if mslice.shape[i] > 1: + * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< + * break + * + */ + __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); + + /* "View.MemoryView":1127 + * if mslice.shape[i] > 1: + * c_stride = mslice.strides[i] + * break # <<<<<<<<<<<<<< + * + * for i in range(ndim): + */ + goto __pyx_L4_break; + + /* "View.MemoryView":1125 + * + * for i in range(ndim - 1, -1, -1): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * c_stride = mslice.strides[i] + * break + */ + } + } + __pyx_L4_break:; + + /* "View.MemoryView":1129 + * break + * + * for i in range(ndim): # <<<<<<<<<<<<<< + * if mslice.shape[i] > 1: + * f_stride = mslice.strides[i] + */ + __pyx_t_1 = __pyx_v_ndim; + __pyx_t_3 = __pyx_t_1; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_i = __pyx_t_4; + + /* "View.MemoryView":1130 + * + * for i in range(ndim): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * f_stride = mslice.strides[i] + * break + */ + __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1131 + * for i in range(ndim): + * if mslice.shape[i] > 1: + * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< + * break + * + */ + __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); + + /* "View.MemoryView":1132 + * if mslice.shape[i] > 1: + * f_stride = mslice.strides[i] + * break # <<<<<<<<<<<<<< + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): + */ + goto __pyx_L7_break; + + /* "View.MemoryView":1130 + * + * for i in range(ndim): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * f_stride = mslice.strides[i] + * break + */ + } + } + __pyx_L7_break:; + + /* "View.MemoryView":1134 + * break + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< + * return 'C' + * else: + */ + __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1135 + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): + * return 'C' # <<<<<<<<<<<<<< + * else: + * return 'F' + */ + __pyx_r = 'C'; + goto __pyx_L0; + + /* "View.MemoryView":1134 + * break + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< + * return 'C' + * else: + */ + } + + /* "View.MemoryView":1137 + * return 'C' + * else: + * return 'F' # <<<<<<<<<<<<<< + * + * @cython.cdivision(True) + */ + /*else*/ { + __pyx_r = 'F'; + goto __pyx_L0; + } + + /* "View.MemoryView":1116 + * + * @cname('__pyx_get_best_slice_order') + * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< + * """ + * Figure out the best memory access order for a given slice. + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1140 + * + * @cython.cdivision(True) + * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< + * char *dst_data, Py_ssize_t *dst_strides, + * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, + */ + +static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) { + CYTHON_UNUSED Py_ssize_t __pyx_v_i; + CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent; + Py_ssize_t __pyx_v_dst_extent; + Py_ssize_t __pyx_v_src_stride; + Py_ssize_t __pyx_v_dst_stride; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + Py_ssize_t __pyx_t_6; + + /* "View.MemoryView":1147 + * + * cdef Py_ssize_t i + * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t dst_extent = dst_shape[0] + * cdef Py_ssize_t src_stride = src_strides[0] + */ + __pyx_v_src_extent = (__pyx_v_src_shape[0]); + + /* "View.MemoryView":1148 + * cdef Py_ssize_t i + * cdef Py_ssize_t src_extent = src_shape[0] + * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t src_stride = src_strides[0] + * cdef Py_ssize_t dst_stride = dst_strides[0] + */ + __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); + + /* "View.MemoryView":1149 + * cdef Py_ssize_t src_extent = src_shape[0] + * cdef Py_ssize_t dst_extent = dst_shape[0] + * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t dst_stride = dst_strides[0] + * + */ + __pyx_v_src_stride = (__pyx_v_src_strides[0]); + + /* "View.MemoryView":1150 + * cdef Py_ssize_t dst_extent = dst_shape[0] + * cdef Py_ssize_t src_stride = src_strides[0] + * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< + * + * if ndim == 1: + */ + __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); + + /* "View.MemoryView":1152 + * cdef Py_ssize_t dst_stride = dst_strides[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): + */ + __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1153 + * + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) + */ + __pyx_t_2 = ((__pyx_v_src_stride > 0) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L5_bool_binop_done; + } + __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L5_bool_binop_done; + } + + /* "View.MemoryView":1154 + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< + * memcpy(dst_data, src_data, itemsize * dst_extent) + * else: + */ + __pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize); + if (__pyx_t_2) { + __pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride)); + } + __pyx_t_3 = (__pyx_t_2 != 0); + __pyx_t_1 = __pyx_t_3; + __pyx_L5_bool_binop_done:; + + /* "View.MemoryView":1153 + * + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) + */ + if (__pyx_t_1) { + + /* "View.MemoryView":1155 + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< + * else: + * for i in range(dst_extent): + */ + (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent))); + + /* "View.MemoryView":1153 + * + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) + */ + goto __pyx_L4; + } + + /* "View.MemoryView":1157 + * memcpy(dst_data, src_data, itemsize * dst_extent) + * else: + * for i in range(dst_extent): # <<<<<<<<<<<<<< + * memcpy(dst_data, src_data, itemsize) + * src_data += src_stride + */ + /*else*/ { + __pyx_t_4 = __pyx_v_dst_extent; + __pyx_t_5 = __pyx_t_4; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "View.MemoryView":1158 + * else: + * for i in range(dst_extent): + * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< + * src_data += src_stride + * dst_data += dst_stride + */ + (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize)); + + /* "View.MemoryView":1159 + * for i in range(dst_extent): + * memcpy(dst_data, src_data, itemsize) + * src_data += src_stride # <<<<<<<<<<<<<< + * dst_data += dst_stride + * else: + */ + __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); + + /* "View.MemoryView":1160 + * memcpy(dst_data, src_data, itemsize) + * src_data += src_stride + * dst_data += dst_stride # <<<<<<<<<<<<<< + * else: + * for i in range(dst_extent): + */ + __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); + } + } + __pyx_L4:; + + /* "View.MemoryView":1152 + * cdef Py_ssize_t dst_stride = dst_strides[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1162 + * dst_data += dst_stride + * else: + * for i in range(dst_extent): # <<<<<<<<<<<<<< + * _copy_strided_to_strided(src_data, src_strides + 1, + * dst_data, dst_strides + 1, + */ + /*else*/ { + __pyx_t_4 = __pyx_v_dst_extent; + __pyx_t_5 = __pyx_t_4; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "View.MemoryView":1163 + * else: + * for i in range(dst_extent): + * _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<< + * dst_data, dst_strides + 1, + * src_shape + 1, dst_shape + 1, + */ + _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize); + + /* "View.MemoryView":1167 + * src_shape + 1, dst_shape + 1, + * ndim - 1, itemsize) + * src_data += src_stride # <<<<<<<<<<<<<< + * dst_data += dst_stride + * + */ + __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); + + /* "View.MemoryView":1168 + * ndim - 1, itemsize) + * src_data += src_stride + * dst_data += dst_stride # <<<<<<<<<<<<<< + * + * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, + */ + __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); + } + } + __pyx_L3:; + + /* "View.MemoryView":1140 + * + * @cython.cdivision(True) + * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< + * char *dst_data, Py_ssize_t *dst_strides, + * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, + */ + + /* function exit code */ +} + +/* "View.MemoryView":1170 + * dst_data += dst_stride + * + * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * int ndim, size_t itemsize) nogil: + */ + +static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) { + + /* "View.MemoryView":1173 + * __Pyx_memviewslice *dst, + * int ndim, size_t itemsize) nogil: + * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<< + * src.shape, dst.shape, ndim, itemsize) + * + */ + _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize); + + /* "View.MemoryView":1170 + * dst_data += dst_stride + * + * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * int ndim, size_t itemsize) nogil: + */ + + /* function exit code */ +} + +/* "View.MemoryView":1177 + * + * @cname('__pyx_memoryview_slice_get_size') + * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< + * "Return the size of the memory occupied by the slice in number of bytes" + * cdef Py_ssize_t shape, size = src.memview.view.itemsize + */ + +static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) { + Py_ssize_t __pyx_v_shape; + Py_ssize_t __pyx_v_size; + Py_ssize_t __pyx_r; + Py_ssize_t __pyx_t_1; + Py_ssize_t *__pyx_t_2; + Py_ssize_t *__pyx_t_3; + Py_ssize_t *__pyx_t_4; + + /* "View.MemoryView":1179 + * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: + * "Return the size of the memory occupied by the slice in number of bytes" + * cdef Py_ssize_t shape, size = src.memview.view.itemsize # <<<<<<<<<<<<<< + * + * for shape in src.shape[:ndim]: + */ + __pyx_t_1 = __pyx_v_src->memview->view.itemsize; + __pyx_v_size = __pyx_t_1; + + /* "View.MemoryView":1181 + * cdef Py_ssize_t shape, size = src.memview.view.itemsize + * + * for shape in src.shape[:ndim]: # <<<<<<<<<<<<<< + * size *= shape + * + */ + __pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim); + for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) { + __pyx_t_2 = __pyx_t_4; + __pyx_v_shape = (__pyx_t_2[0]); + + /* "View.MemoryView":1182 + * + * for shape in src.shape[:ndim]: + * size *= shape # <<<<<<<<<<<<<< + * + * return size + */ + __pyx_v_size = (__pyx_v_size * __pyx_v_shape); + } + + /* "View.MemoryView":1184 + * size *= shape + * + * return size # <<<<<<<<<<<<<< + * + * @cname('__pyx_fill_contig_strides_array') + */ + __pyx_r = __pyx_v_size; + goto __pyx_L0; + + /* "View.MemoryView":1177 + * + * @cname('__pyx_memoryview_slice_get_size') + * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< + * "Return the size of the memory occupied by the slice in number of bytes" + * cdef Py_ssize_t shape, size = src.memview.view.itemsize + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1187 + * + * @cname('__pyx_fill_contig_strides_array') + * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< + * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, + * int ndim, char order) nogil: + */ + +static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) { + int __pyx_v_idx; + Py_ssize_t __pyx_r; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + + /* "View.MemoryView":1196 + * cdef int idx + * + * if order == 'F': # <<<<<<<<<<<<<< + * for idx in range(ndim): + * strides[idx] = stride + */ + __pyx_t_1 = ((__pyx_v_order == 'F') != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1197 + * + * if order == 'F': + * for idx in range(ndim): # <<<<<<<<<<<<<< + * strides[idx] = stride + * stride *= shape[idx] + */ + __pyx_t_2 = __pyx_v_ndim; + __pyx_t_3 = __pyx_t_2; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_idx = __pyx_t_4; + + /* "View.MemoryView":1198 + * if order == 'F': + * for idx in range(ndim): + * strides[idx] = stride # <<<<<<<<<<<<<< + * stride *= shape[idx] + * else: + */ + (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; + + /* "View.MemoryView":1199 + * for idx in range(ndim): + * strides[idx] = stride + * stride *= shape[idx] # <<<<<<<<<<<<<< + * else: + * for idx in range(ndim - 1, -1, -1): + */ + __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); + } + + /* "View.MemoryView":1196 + * cdef int idx + * + * if order == 'F': # <<<<<<<<<<<<<< + * for idx in range(ndim): + * strides[idx] = stride + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1201 + * stride *= shape[idx] + * else: + * for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< + * strides[idx] = stride + * stride *= shape[idx] + */ + /*else*/ { + for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) { + __pyx_v_idx = __pyx_t_2; + + /* "View.MemoryView":1202 + * else: + * for idx in range(ndim - 1, -1, -1): + * strides[idx] = stride # <<<<<<<<<<<<<< + * stride *= shape[idx] + * + */ + (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; + + /* "View.MemoryView":1203 + * for idx in range(ndim - 1, -1, -1): + * strides[idx] = stride + * stride *= shape[idx] # <<<<<<<<<<<<<< + * + * return stride + */ + __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); + } + } + __pyx_L3:; + + /* "View.MemoryView":1205 + * stride *= shape[idx] + * + * return stride # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_copy_data_to_temp') + */ + __pyx_r = __pyx_v_stride; + goto __pyx_L0; + + /* "View.MemoryView":1187 + * + * @cname('__pyx_fill_contig_strides_array') + * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< + * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, + * int ndim, char order) nogil: + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1208 + * + * @cname('__pyx_memoryview_copy_data_to_temp') + * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *tmpslice, + * char order, + */ + +static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) { + int __pyx_v_i; + void *__pyx_v_result; + size_t __pyx_v_itemsize; + size_t __pyx_v_size; + void *__pyx_r; + Py_ssize_t __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + struct __pyx_memoryview_obj *__pyx_t_4; + int __pyx_t_5; + int __pyx_t_6; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + + /* "View.MemoryView":1219 + * cdef void *result + * + * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< + * cdef size_t size = slice_get_size(src, ndim) + * + */ + __pyx_t_1 = __pyx_v_src->memview->view.itemsize; + __pyx_v_itemsize = __pyx_t_1; + + /* "View.MemoryView":1220 + * + * cdef size_t itemsize = src.memview.view.itemsize + * cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<< + * + * result = malloc(size) + */ + __pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim); + + /* "View.MemoryView":1222 + * cdef size_t size = slice_get_size(src, ndim) + * + * result = malloc(size) # <<<<<<<<<<<<<< + * if not result: + * _err(MemoryError, NULL) + */ + __pyx_v_result = malloc(__pyx_v_size); + + /* "View.MemoryView":1223 + * + * result = malloc(size) + * if not result: # <<<<<<<<<<<<<< + * _err(MemoryError, NULL) + * + */ + __pyx_t_2 = ((!(__pyx_v_result != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1224 + * result = malloc(size) + * if not result: + * _err(MemoryError, NULL) # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 1224, __pyx_L1_error) + + /* "View.MemoryView":1223 + * + * result = malloc(size) + * if not result: # <<<<<<<<<<<<<< + * _err(MemoryError, NULL) + * + */ + } + + /* "View.MemoryView":1227 + * + * + * tmpslice.data = result # <<<<<<<<<<<<<< + * tmpslice.memview = src.memview + * for i in range(ndim): + */ + __pyx_v_tmpslice->data = ((char *)__pyx_v_result); + + /* "View.MemoryView":1228 + * + * tmpslice.data = result + * tmpslice.memview = src.memview # <<<<<<<<<<<<<< + * for i in range(ndim): + * tmpslice.shape[i] = src.shape[i] + */ + __pyx_t_4 = __pyx_v_src->memview; + __pyx_v_tmpslice->memview = __pyx_t_4; + + /* "View.MemoryView":1229 + * tmpslice.data = result + * tmpslice.memview = src.memview + * for i in range(ndim): # <<<<<<<<<<<<<< + * tmpslice.shape[i] = src.shape[i] + * tmpslice.suboffsets[i] = -1 + */ + __pyx_t_3 = __pyx_v_ndim; + __pyx_t_5 = __pyx_t_3; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "View.MemoryView":1230 + * tmpslice.memview = src.memview + * for i in range(ndim): + * tmpslice.shape[i] = src.shape[i] # <<<<<<<<<<<<<< + * tmpslice.suboffsets[i] = -1 + * + */ + (__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]); + + /* "View.MemoryView":1231 + * for i in range(ndim): + * tmpslice.shape[i] = src.shape[i] + * tmpslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< + * + * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, + */ + (__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1L; + } + + /* "View.MemoryView":1233 + * tmpslice.suboffsets[i] = -1 + * + * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, # <<<<<<<<<<<<<< + * ndim, order) + * + */ + (void)(__pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order)); + + /* "View.MemoryView":1237 + * + * + * for i in range(ndim): # <<<<<<<<<<<<<< + * if tmpslice.shape[i] == 1: + * tmpslice.strides[i] = 0 + */ + __pyx_t_3 = __pyx_v_ndim; + __pyx_t_5 = __pyx_t_3; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "View.MemoryView":1238 + * + * for i in range(ndim): + * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< + * tmpslice.strides[i] = 0 + * + */ + __pyx_t_2 = (((__pyx_v_tmpslice->shape[__pyx_v_i]) == 1) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1239 + * for i in range(ndim): + * if tmpslice.shape[i] == 1: + * tmpslice.strides[i] = 0 # <<<<<<<<<<<<<< + * + * if slice_is_contig(src[0], order, ndim): + */ + (__pyx_v_tmpslice->strides[__pyx_v_i]) = 0; + + /* "View.MemoryView":1238 + * + * for i in range(ndim): + * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< + * tmpslice.strides[i] = 0 + * + */ + } + } + + /* "View.MemoryView":1241 + * tmpslice.strides[i] = 0 + * + * if slice_is_contig(src[0], order, ndim): # <<<<<<<<<<<<<< + * memcpy(result, src.data, size) + * else: + */ + __pyx_t_2 = (__pyx_memviewslice_is_contig((__pyx_v_src[0]), __pyx_v_order, __pyx_v_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1242 + * + * if slice_is_contig(src[0], order, ndim): + * memcpy(result, src.data, size) # <<<<<<<<<<<<<< + * else: + * copy_strided_to_strided(src, tmpslice, ndim, itemsize) + */ + (void)(memcpy(__pyx_v_result, __pyx_v_src->data, __pyx_v_size)); + + /* "View.MemoryView":1241 + * tmpslice.strides[i] = 0 + * + * if slice_is_contig(src[0], order, ndim): # <<<<<<<<<<<<<< + * memcpy(result, src.data, size) + * else: + */ + goto __pyx_L9; + } + + /* "View.MemoryView":1244 + * memcpy(result, src.data, size) + * else: + * copy_strided_to_strided(src, tmpslice, ndim, itemsize) # <<<<<<<<<<<<<< + * + * return result + */ + /*else*/ { + copy_strided_to_strided(__pyx_v_src, __pyx_v_tmpslice, __pyx_v_ndim, __pyx_v_itemsize); + } + __pyx_L9:; + + /* "View.MemoryView":1246 + * copy_strided_to_strided(src, tmpslice, ndim, itemsize) + * + * return result # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = __pyx_v_result; + goto __pyx_L0; + + /* "View.MemoryView":1208 + * + * @cname('__pyx_memoryview_copy_data_to_temp') + * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *tmpslice, + * char order, + */ + + /* function exit code */ + __pyx_L1_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_AddTraceback("View.MemoryView.copy_data_to_temp", __pyx_clineno, __pyx_lineno, __pyx_filename); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_r = NULL; + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1251 + * + * @cname('__pyx_memoryview_err_extents') + * cdef int _err_extents(int i, Py_ssize_t extent1, # <<<<<<<<<<<<<< + * Py_ssize_t extent2) except -1 with gil: + * raise ValueError("got differing extents in dimension %d (got %d and %d)" % + */ + +static int __pyx_memoryview_err_extents(int __pyx_v_i, Py_ssize_t __pyx_v_extent1, Py_ssize_t __pyx_v_extent2) { + int __pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_RefNannySetupContext("_err_extents", 0); + + /* "View.MemoryView":1254 + * Py_ssize_t extent2) except -1 with gil: + * raise ValueError("got differing extents in dimension %d (got %d and %d)" % + * (i, extent1, extent2)) # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_err_dim') + */ + __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_i); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 1254, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_extent1); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1254, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyInt_FromSsize_t(__pyx_v_extent2); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1254, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyTuple_New(3); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 1254, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_4, 2, __pyx_t_3); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_3 = 0; + + /* "View.MemoryView":1253 + * cdef int _err_extents(int i, Py_ssize_t extent1, + * Py_ssize_t extent2) except -1 with gil: + * raise ValueError("got differing extents in dimension %d (got %d and %d)" % # <<<<<<<<<<<<<< + * (i, extent1, extent2)) + * + */ + __pyx_t_3 = __Pyx_PyString_Format(__pyx_kp_s_got_differing_extents_in_dimensi, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1253, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 1253, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_Raise(__pyx_t_4, 0, 0, 0); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __PYX_ERR(2, 1253, __pyx_L1_error) + + /* "View.MemoryView":1251 + * + * @cname('__pyx_memoryview_err_extents') + * cdef int _err_extents(int i, Py_ssize_t extent1, # <<<<<<<<<<<<<< + * Py_ssize_t extent2) except -1 with gil: + * raise ValueError("got differing extents in dimension %d (got %d and %d)" % + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_AddTraceback("View.MemoryView._err_extents", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __Pyx_RefNannyFinishContext(); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + return __pyx_r; +} + +/* "View.MemoryView":1257 + * + * @cname('__pyx_memoryview_err_dim') + * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: # <<<<<<<<<<<<<< + * raise error(msg.decode('ascii') % dim) + * + */ + +static int __pyx_memoryview_err_dim(PyObject *__pyx_v_error, char *__pyx_v_msg, int __pyx_v_dim) { + int __pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_RefNannySetupContext("_err_dim", 0); + __Pyx_INCREF(__pyx_v_error); + + /* "View.MemoryView":1258 + * @cname('__pyx_memoryview_err_dim') + * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: + * raise error(msg.decode('ascii') % dim) # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_err') + */ + __pyx_t_2 = __Pyx_decode_c_string(__pyx_v_msg, 0, strlen(__pyx_v_msg), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1258, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_dim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1258, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyUnicode_Format(__pyx_t_2, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 1258, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_v_error); + __pyx_t_3 = __pyx_v_error; __pyx_t_2 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_2, __pyx_t_4) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_4); + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 1258, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 1258, __pyx_L1_error) + + /* "View.MemoryView":1257 + * + * @cname('__pyx_memoryview_err_dim') + * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: # <<<<<<<<<<<<<< + * raise error(msg.decode('ascii') % dim) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_AddTraceback("View.MemoryView._err_dim", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __Pyx_XDECREF(__pyx_v_error); + __Pyx_RefNannyFinishContext(); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + return __pyx_r; +} + +/* "View.MemoryView":1261 + * + * @cname('__pyx_memoryview_err') + * cdef int _err(object error, char *msg) except -1 with gil: # <<<<<<<<<<<<<< + * if msg != NULL: + * raise error(msg.decode('ascii')) + */ + +static int __pyx_memoryview_err(PyObject *__pyx_v_error, char *__pyx_v_msg) { + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_RefNannySetupContext("_err", 0); + __Pyx_INCREF(__pyx_v_error); + + /* "View.MemoryView":1262 + * @cname('__pyx_memoryview_err') + * cdef int _err(object error, char *msg) except -1 with gil: + * if msg != NULL: # <<<<<<<<<<<<<< + * raise error(msg.decode('ascii')) + * else: + */ + __pyx_t_1 = ((__pyx_v_msg != NULL) != 0); + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":1263 + * cdef int _err(object error, char *msg) except -1 with gil: + * if msg != NULL: + * raise error(msg.decode('ascii')) # <<<<<<<<<<<<<< + * else: + * raise error + */ + __pyx_t_3 = __Pyx_decode_c_string(__pyx_v_msg, 0, strlen(__pyx_v_msg), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1263, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_error); + __pyx_t_4 = __pyx_v_error; __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + } + } + __pyx_t_2 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_5, __pyx_t_3) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_3); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1263, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_Raise(__pyx_t_2, 0, 0, 0); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __PYX_ERR(2, 1263, __pyx_L1_error) + + /* "View.MemoryView":1262 + * @cname('__pyx_memoryview_err') + * cdef int _err(object error, char *msg) except -1 with gil: + * if msg != NULL: # <<<<<<<<<<<<<< + * raise error(msg.decode('ascii')) + * else: + */ + } + + /* "View.MemoryView":1265 + * raise error(msg.decode('ascii')) + * else: + * raise error # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_copy_contents') + */ + /*else*/ { + __Pyx_Raise(__pyx_v_error, 0, 0, 0); + __PYX_ERR(2, 1265, __pyx_L1_error) + } + + /* "View.MemoryView":1261 + * + * @cname('__pyx_memoryview_err') + * cdef int _err(object error, char *msg) except -1 with gil: # <<<<<<<<<<<<<< + * if msg != NULL: + * raise error(msg.decode('ascii')) + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView._err", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __Pyx_XDECREF(__pyx_v_error); + __Pyx_RefNannyFinishContext(); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + return __pyx_r; +} + +/* "View.MemoryView":1268 + * + * @cname('__pyx_memoryview_copy_contents') + * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice dst, + * int src_ndim, int dst_ndim, + */ + +static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_memviewslice __pyx_v_dst, int __pyx_v_src_ndim, int __pyx_v_dst_ndim, int __pyx_v_dtype_is_object) { + void *__pyx_v_tmpdata; + size_t __pyx_v_itemsize; + int __pyx_v_i; + char __pyx_v_order; + int __pyx_v_broadcasting; + int __pyx_v_direct_copy; + __Pyx_memviewslice __pyx_v_tmp; + int __pyx_v_ndim; + int __pyx_r; + Py_ssize_t __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + int __pyx_t_5; + int __pyx_t_6; + void *__pyx_t_7; + int __pyx_t_8; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + + /* "View.MemoryView":1276 + * Check for overlapping memory and verify the shapes. + * """ + * cdef void *tmpdata = NULL # <<<<<<<<<<<<<< + * cdef size_t itemsize = src.memview.view.itemsize + * cdef int i + */ + __pyx_v_tmpdata = NULL; + + /* "View.MemoryView":1277 + * """ + * cdef void *tmpdata = NULL + * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< + * cdef int i + * cdef char order = get_best_order(&src, src_ndim) + */ + __pyx_t_1 = __pyx_v_src.memview->view.itemsize; + __pyx_v_itemsize = __pyx_t_1; + + /* "View.MemoryView":1279 + * cdef size_t itemsize = src.memview.view.itemsize + * cdef int i + * cdef char order = get_best_order(&src, src_ndim) # <<<<<<<<<<<<<< + * cdef bint broadcasting = False + * cdef bint direct_copy = False + */ + __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_src), __pyx_v_src_ndim); + + /* "View.MemoryView":1280 + * cdef int i + * cdef char order = get_best_order(&src, src_ndim) + * cdef bint broadcasting = False # <<<<<<<<<<<<<< + * cdef bint direct_copy = False + * cdef __Pyx_memviewslice tmp + */ + __pyx_v_broadcasting = 0; + + /* "View.MemoryView":1281 + * cdef char order = get_best_order(&src, src_ndim) + * cdef bint broadcasting = False + * cdef bint direct_copy = False # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice tmp + * + */ + __pyx_v_direct_copy = 0; + + /* "View.MemoryView":1284 + * cdef __Pyx_memviewslice tmp + * + * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: + */ + __pyx_t_2 = ((__pyx_v_src_ndim < __pyx_v_dst_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1285 + * + * if src_ndim < dst_ndim: + * broadcast_leading(&src, src_ndim, dst_ndim) # <<<<<<<<<<<<<< + * elif dst_ndim < src_ndim: + * broadcast_leading(&dst, dst_ndim, src_ndim) + */ + __pyx_memoryview_broadcast_leading((&__pyx_v_src), __pyx_v_src_ndim, __pyx_v_dst_ndim); + + /* "View.MemoryView":1284 + * cdef __Pyx_memviewslice tmp + * + * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1286 + * if src_ndim < dst_ndim: + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< + * broadcast_leading(&dst, dst_ndim, src_ndim) + * + */ + __pyx_t_2 = ((__pyx_v_dst_ndim < __pyx_v_src_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1287 + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: + * broadcast_leading(&dst, dst_ndim, src_ndim) # <<<<<<<<<<<<<< + * + * cdef int ndim = max(src_ndim, dst_ndim) + */ + __pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim); + + /* "View.MemoryView":1286 + * if src_ndim < dst_ndim: + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< + * broadcast_leading(&dst, dst_ndim, src_ndim) + * + */ + } + __pyx_L3:; + + /* "View.MemoryView":1289 + * broadcast_leading(&dst, dst_ndim, src_ndim) + * + * cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<< + * + * for i in range(ndim): + */ + __pyx_t_3 = __pyx_v_dst_ndim; + __pyx_t_4 = __pyx_v_src_ndim; + if (((__pyx_t_3 > __pyx_t_4) != 0)) { + __pyx_t_5 = __pyx_t_3; + } else { + __pyx_t_5 = __pyx_t_4; + } + __pyx_v_ndim = __pyx_t_5; + + /* "View.MemoryView":1291 + * cdef int ndim = max(src_ndim, dst_ndim) + * + * for i in range(ndim): # <<<<<<<<<<<<<< + * if src.shape[i] != dst.shape[i]: + * if src.shape[i] == 1: + */ + __pyx_t_5 = __pyx_v_ndim; + __pyx_t_3 = __pyx_t_5; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_i = __pyx_t_4; + + /* "View.MemoryView":1292 + * + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< + * if src.shape[i] == 1: + * broadcasting = True + */ + __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1293 + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: + * if src.shape[i] == 1: # <<<<<<<<<<<<<< + * broadcasting = True + * src.strides[i] = 0 + */ + __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1294 + * if src.shape[i] != dst.shape[i]: + * if src.shape[i] == 1: + * broadcasting = True # <<<<<<<<<<<<<< + * src.strides[i] = 0 + * else: + */ + __pyx_v_broadcasting = 1; + + /* "View.MemoryView":1295 + * if src.shape[i] == 1: + * broadcasting = True + * src.strides[i] = 0 # <<<<<<<<<<<<<< + * else: + * _err_extents(i, dst.shape[i], src.shape[i]) + */ + (__pyx_v_src.strides[__pyx_v_i]) = 0; + + /* "View.MemoryView":1293 + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: + * if src.shape[i] == 1: # <<<<<<<<<<<<<< + * broadcasting = True + * src.strides[i] = 0 + */ + goto __pyx_L7; + } + + /* "View.MemoryView":1297 + * src.strides[i] = 0 + * else: + * _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<< + * + * if src.suboffsets[i] >= 0: + */ + /*else*/ { + __pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1297, __pyx_L1_error) + } + __pyx_L7:; + + /* "View.MemoryView":1292 + * + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< + * if src.shape[i] == 1: + * broadcasting = True + */ + } + + /* "View.MemoryView":1299 + * _err_extents(i, dst.shape[i], src.shape[i]) + * + * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< + * _err_dim(ValueError, "Dimension %d is not direct", i) + * + */ + __pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1300 + * + * if src.suboffsets[i] >= 0: + * _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<< + * + * if slices_overlap(&src, &dst, ndim, itemsize): + */ + __pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1300, __pyx_L1_error) + + /* "View.MemoryView":1299 + * _err_extents(i, dst.shape[i], src.shape[i]) + * + * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< + * _err_dim(ValueError, "Dimension %d is not direct", i) + * + */ + } + } + + /* "View.MemoryView":1302 + * _err_dim(ValueError, "Dimension %d is not direct", i) + * + * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< + * + * if not slice_is_contig(src, order, ndim): + */ + __pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1304 + * if slices_overlap(&src, &dst, ndim, itemsize): + * + * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< + * order = get_best_order(&dst, ndim) + * + */ + __pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1305 + * + * if not slice_is_contig(src, order, ndim): + * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<< + * + * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) + */ + __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim); + + /* "View.MemoryView":1304 + * if slices_overlap(&src, &dst, ndim, itemsize): + * + * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< + * order = get_best_order(&dst, ndim) + * + */ + } + + /* "View.MemoryView":1307 + * order = get_best_order(&dst, ndim) + * + * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<< + * src = tmp + * + */ + __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(2, 1307, __pyx_L1_error) + __pyx_v_tmpdata = __pyx_t_7; + + /* "View.MemoryView":1308 + * + * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) + * src = tmp # <<<<<<<<<<<<<< + * + * if not broadcasting: + */ + __pyx_v_src = __pyx_v_tmp; + + /* "View.MemoryView":1302 + * _err_dim(ValueError, "Dimension %d is not direct", i) + * + * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< + * + * if not slice_is_contig(src, order, ndim): + */ + } + + /* "View.MemoryView":1310 + * src = tmp + * + * if not broadcasting: # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1313 + * + * + * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): + */ + __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1314 + * + * if slice_is_contig(src, 'C', ndim): + * direct_copy = slice_is_contig(dst, 'C', ndim) # <<<<<<<<<<<<<< + * elif slice_is_contig(src, 'F', ndim): + * direct_copy = slice_is_contig(dst, 'F', ndim) + */ + __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim); + + /* "View.MemoryView":1313 + * + * + * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): + */ + goto __pyx_L12; + } + + /* "View.MemoryView":1315 + * if slice_is_contig(src, 'C', ndim): + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + */ + __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1316 + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): + * direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<< + * + * if direct_copy: + */ + __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim); + + /* "View.MemoryView":1315 + * if slice_is_contig(src, 'C', ndim): + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + */ + } + __pyx_L12:; + + /* "View.MemoryView":1318 + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + * if direct_copy: # <<<<<<<<<<<<<< + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + */ + __pyx_t_2 = (__pyx_v_direct_copy != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1320 + * if direct_copy: + * + * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) + * refcount_copying(&dst, dtype_is_object, ndim, True) + */ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); + + /* "View.MemoryView":1321 + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< + * refcount_copying(&dst, dtype_is_object, ndim, True) + * free(tmpdata) + */ + (void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim))); + + /* "View.MemoryView":1322 + * refcount_copying(&dst, dtype_is_object, ndim, False) + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) + * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< + * free(tmpdata) + * return 0 + */ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); + + /* "View.MemoryView":1323 + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) + * refcount_copying(&dst, dtype_is_object, ndim, True) + * free(tmpdata) # <<<<<<<<<<<<<< + * return 0 + * + */ + free(__pyx_v_tmpdata); + + /* "View.MemoryView":1324 + * refcount_copying(&dst, dtype_is_object, ndim, True) + * free(tmpdata) + * return 0 # <<<<<<<<<<<<<< + * + * if order == 'F' == get_best_order(&dst, ndim): + */ + __pyx_r = 0; + goto __pyx_L0; + + /* "View.MemoryView":1318 + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + * if direct_copy: # <<<<<<<<<<<<<< + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + */ + } + + /* "View.MemoryView":1310 + * src = tmp + * + * if not broadcasting: # <<<<<<<<<<<<<< + * + * + */ + } + + /* "View.MemoryView":1326 + * return 0 + * + * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = (__pyx_v_order == 'F'); + if (__pyx_t_2) { + __pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim)); + } + __pyx_t_8 = (__pyx_t_2 != 0); + if (__pyx_t_8) { + + /* "View.MemoryView":1329 + * + * + * transpose_memslice(&src) # <<<<<<<<<<<<<< + * transpose_memslice(&dst) + * + */ + __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1329, __pyx_L1_error) + + /* "View.MemoryView":1330 + * + * transpose_memslice(&src) + * transpose_memslice(&dst) # <<<<<<<<<<<<<< + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + */ + __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1330, __pyx_L1_error) + + /* "View.MemoryView":1326 + * return 0 + * + * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< + * + * + */ + } + + /* "View.MemoryView":1332 + * transpose_memslice(&dst) + * + * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< + * copy_strided_to_strided(&src, &dst, ndim, itemsize) + * refcount_copying(&dst, dtype_is_object, ndim, True) + */ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); + + /* "View.MemoryView":1333 + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< + * refcount_copying(&dst, dtype_is_object, ndim, True) + * + */ + copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); + + /* "View.MemoryView":1334 + * refcount_copying(&dst, dtype_is_object, ndim, False) + * copy_strided_to_strided(&src, &dst, ndim, itemsize) + * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< + * + * free(tmpdata) + */ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); + + /* "View.MemoryView":1336 + * refcount_copying(&dst, dtype_is_object, ndim, True) + * + * free(tmpdata) # <<<<<<<<<<<<<< + * return 0 + * + */ + free(__pyx_v_tmpdata); + + /* "View.MemoryView":1337 + * + * free(tmpdata) + * return 0 # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_broadcast_leading') + */ + __pyx_r = 0; + goto __pyx_L0; + + /* "View.MemoryView":1268 + * + * @cname('__pyx_memoryview_copy_contents') + * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice dst, + * int src_ndim, int dst_ndim, + */ + + /* function exit code */ + __pyx_L1_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_r = -1; + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1340 + * + * @cname('__pyx_memoryview_broadcast_leading') + * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< + * int ndim, + * int ndim_other) nogil: + */ + +static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) { + int __pyx_v_i; + int __pyx_v_offset; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + + /* "View.MemoryView":1344 + * int ndim_other) nogil: + * cdef int i + * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< + * + * for i in range(ndim - 1, -1, -1): + */ + __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); + + /* "View.MemoryView":1346 + * cdef int offset = ndim_other - ndim + * + * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< + * mslice.shape[i + offset] = mslice.shape[i] + * mslice.strides[i + offset] = mslice.strides[i] + */ + for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { + __pyx_v_i = __pyx_t_1; + + /* "View.MemoryView":1347 + * + * for i in range(ndim - 1, -1, -1): + * mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<< + * mslice.strides[i + offset] = mslice.strides[i] + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] + */ + (__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]); + + /* "View.MemoryView":1348 + * for i in range(ndim - 1, -1, -1): + * mslice.shape[i + offset] = mslice.shape[i] + * mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<< + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] + * + */ + (__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]); + + /* "View.MemoryView":1349 + * mslice.shape[i + offset] = mslice.shape[i] + * mslice.strides[i + offset] = mslice.strides[i] + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<< + * + * for i in range(offset): + */ + (__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]); + } + + /* "View.MemoryView":1351 + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] + * + * for i in range(offset): # <<<<<<<<<<<<<< + * mslice.shape[i] = 1 + * mslice.strides[i] = mslice.strides[0] + */ + __pyx_t_1 = __pyx_v_offset; + __pyx_t_2 = __pyx_t_1; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { + __pyx_v_i = __pyx_t_3; + + /* "View.MemoryView":1352 + * + * for i in range(offset): + * mslice.shape[i] = 1 # <<<<<<<<<<<<<< + * mslice.strides[i] = mslice.strides[0] + * mslice.suboffsets[i] = -1 + */ + (__pyx_v_mslice->shape[__pyx_v_i]) = 1; + + /* "View.MemoryView":1353 + * for i in range(offset): + * mslice.shape[i] = 1 + * mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<< + * mslice.suboffsets[i] = -1 + * + */ + (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]); + + /* "View.MemoryView":1354 + * mslice.shape[i] = 1 + * mslice.strides[i] = mslice.strides[0] + * mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< + * + * + */ + (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L; + } + + /* "View.MemoryView":1340 + * + * @cname('__pyx_memoryview_broadcast_leading') + * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< + * int ndim, + * int ndim_other) nogil: + */ + + /* function exit code */ +} + +/* "View.MemoryView":1362 + * + * @cname('__pyx_memoryview_refcount_copying') + * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< + * int ndim, bint inc) nogil: + * + */ + +static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) { + int __pyx_t_1; + + /* "View.MemoryView":1366 + * + * + * if dtype_is_object: # <<<<<<<<<<<<<< + * refcount_objects_in_slice_with_gil(dst.data, dst.shape, + * dst.strides, ndim, inc) + */ + __pyx_t_1 = (__pyx_v_dtype_is_object != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1367 + * + * if dtype_is_object: + * refcount_objects_in_slice_with_gil(dst.data, dst.shape, # <<<<<<<<<<<<<< + * dst.strides, ndim, inc) + * + */ + __pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc); + + /* "View.MemoryView":1366 + * + * + * if dtype_is_object: # <<<<<<<<<<<<<< + * refcount_objects_in_slice_with_gil(dst.data, dst.shape, + * dst.strides, ndim, inc) + */ + } + + /* "View.MemoryView":1362 + * + * @cname('__pyx_memoryview_refcount_copying') + * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< + * int ndim, bint inc) nogil: + * + */ + + /* function exit code */ +} + +/* "View.MemoryView":1371 + * + * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') + * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< + * Py_ssize_t *strides, int ndim, + * bint inc) with gil: + */ + +static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { + __Pyx_RefNannyDeclarations + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_RefNannySetupContext("refcount_objects_in_slice_with_gil", 0); + + /* "View.MemoryView":1374 + * Py_ssize_t *strides, int ndim, + * bint inc) with gil: + * refcount_objects_in_slice(data, shape, strides, ndim, inc) # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_refcount_objects_in_slice') + */ + __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc); + + /* "View.MemoryView":1371 + * + * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') + * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< + * Py_ssize_t *strides, int ndim, + * bint inc) with gil: + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif +} + +/* "View.MemoryView":1377 + * + * @cname('__pyx_memoryview_refcount_objects_in_slice') + * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< + * Py_ssize_t *strides, int ndim, bint inc): + * cdef Py_ssize_t i + */ + +static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { + CYTHON_UNUSED Py_ssize_t __pyx_v_i; + __Pyx_RefNannyDeclarations + Py_ssize_t __pyx_t_1; + Py_ssize_t __pyx_t_2; + Py_ssize_t __pyx_t_3; + int __pyx_t_4; + __Pyx_RefNannySetupContext("refcount_objects_in_slice", 0); + + /* "View.MemoryView":1381 + * cdef Py_ssize_t i + * + * for i in range(shape[0]): # <<<<<<<<<<<<<< + * if ndim == 1: + * if inc: + */ + __pyx_t_1 = (__pyx_v_shape[0]); + __pyx_t_2 = __pyx_t_1; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { + __pyx_v_i = __pyx_t_3; + + /* "View.MemoryView":1382 + * + * for i in range(shape[0]): + * if ndim == 1: # <<<<<<<<<<<<<< + * if inc: + * Py_INCREF(( data)[0]) + */ + __pyx_t_4 = ((__pyx_v_ndim == 1) != 0); + if (__pyx_t_4) { + + /* "View.MemoryView":1383 + * for i in range(shape[0]): + * if ndim == 1: + * if inc: # <<<<<<<<<<<<<< + * Py_INCREF(( data)[0]) + * else: + */ + __pyx_t_4 = (__pyx_v_inc != 0); + if (__pyx_t_4) { + + /* "View.MemoryView":1384 + * if ndim == 1: + * if inc: + * Py_INCREF(( data)[0]) # <<<<<<<<<<<<<< + * else: + * Py_DECREF(( data)[0]) + */ + Py_INCREF((((PyObject **)__pyx_v_data)[0])); + + /* "View.MemoryView":1383 + * for i in range(shape[0]): + * if ndim == 1: + * if inc: # <<<<<<<<<<<<<< + * Py_INCREF(( data)[0]) + * else: + */ + goto __pyx_L6; + } + + /* "View.MemoryView":1386 + * Py_INCREF(( data)[0]) + * else: + * Py_DECREF(( data)[0]) # <<<<<<<<<<<<<< + * else: + * refcount_objects_in_slice(data, shape + 1, strides + 1, + */ + /*else*/ { + Py_DECREF((((PyObject **)__pyx_v_data)[0])); + } + __pyx_L6:; + + /* "View.MemoryView":1382 + * + * for i in range(shape[0]): + * if ndim == 1: # <<<<<<<<<<<<<< + * if inc: + * Py_INCREF(( data)[0]) + */ + goto __pyx_L5; + } + + /* "View.MemoryView":1388 + * Py_DECREF(( data)[0]) + * else: + * refcount_objects_in_slice(data, shape + 1, strides + 1, # <<<<<<<<<<<<<< + * ndim - 1, inc) + * + */ + /*else*/ { + + /* "View.MemoryView":1389 + * else: + * refcount_objects_in_slice(data, shape + 1, strides + 1, + * ndim - 1, inc) # <<<<<<<<<<<<<< + * + * data += strides[0] + */ + __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_inc); + } + __pyx_L5:; + + /* "View.MemoryView":1391 + * ndim - 1, inc) + * + * data += strides[0] # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_data = (__pyx_v_data + (__pyx_v_strides[0])); + } + + /* "View.MemoryView":1377 + * + * @cname('__pyx_memoryview_refcount_objects_in_slice') + * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< + * Py_ssize_t *strides, int ndim, bint inc): + * cdef Py_ssize_t i + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "View.MemoryView":1397 + * + * @cname('__pyx_memoryview_slice_assign_scalar') + * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # <<<<<<<<<<<<<< + * size_t itemsize, void *item, + * bint dtype_is_object) nogil: + */ + +static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item, int __pyx_v_dtype_is_object) { + + /* "View.MemoryView":1400 + * size_t itemsize, void *item, + * bint dtype_is_object) nogil: + * refcount_copying(dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< + * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, + * itemsize, item) + */ + __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0); + + /* "View.MemoryView":1401 + * bint dtype_is_object) nogil: + * refcount_copying(dst, dtype_is_object, ndim, False) + * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, # <<<<<<<<<<<<<< + * itemsize, item) + * refcount_copying(dst, dtype_is_object, ndim, True) + */ + __pyx_memoryview__slice_assign_scalar(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_itemsize, __pyx_v_item); + + /* "View.MemoryView":1403 + * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, + * itemsize, item) + * refcount_copying(dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< + * + * + */ + __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1); + + /* "View.MemoryView":1397 + * + * @cname('__pyx_memoryview_slice_assign_scalar') + * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # <<<<<<<<<<<<<< + * size_t itemsize, void *item, + * bint dtype_is_object) nogil: + */ + + /* function exit code */ +} + +/* "View.MemoryView":1407 + * + * @cname('__pyx_memoryview__slice_assign_scalar') + * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< + * Py_ssize_t *strides, int ndim, + * size_t itemsize, void *item) nogil: + */ + +static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item) { + CYTHON_UNUSED Py_ssize_t __pyx_v_i; + Py_ssize_t __pyx_v_stride; + Py_ssize_t __pyx_v_extent; + int __pyx_t_1; + Py_ssize_t __pyx_t_2; + Py_ssize_t __pyx_t_3; + Py_ssize_t __pyx_t_4; + + /* "View.MemoryView":1411 + * size_t itemsize, void *item) nogil: + * cdef Py_ssize_t i + * cdef Py_ssize_t stride = strides[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t extent = shape[0] + * + */ + __pyx_v_stride = (__pyx_v_strides[0]); + + /* "View.MemoryView":1412 + * cdef Py_ssize_t i + * cdef Py_ssize_t stride = strides[0] + * cdef Py_ssize_t extent = shape[0] # <<<<<<<<<<<<<< + * + * if ndim == 1: + */ + __pyx_v_extent = (__pyx_v_shape[0]); + + /* "View.MemoryView":1414 + * cdef Py_ssize_t extent = shape[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * for i in range(extent): + * memcpy(data, item, itemsize) + */ + __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1415 + * + * if ndim == 1: + * for i in range(extent): # <<<<<<<<<<<<<< + * memcpy(data, item, itemsize) + * data += stride + */ + __pyx_t_2 = __pyx_v_extent; + __pyx_t_3 = __pyx_t_2; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_i = __pyx_t_4; + + /* "View.MemoryView":1416 + * if ndim == 1: + * for i in range(extent): + * memcpy(data, item, itemsize) # <<<<<<<<<<<<<< + * data += stride + * else: + */ + (void)(memcpy(__pyx_v_data, __pyx_v_item, __pyx_v_itemsize)); + + /* "View.MemoryView":1417 + * for i in range(extent): + * memcpy(data, item, itemsize) + * data += stride # <<<<<<<<<<<<<< + * else: + * for i in range(extent): + */ + __pyx_v_data = (__pyx_v_data + __pyx_v_stride); + } + + /* "View.MemoryView":1414 + * cdef Py_ssize_t extent = shape[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * for i in range(extent): + * memcpy(data, item, itemsize) + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1419 + * data += stride + * else: + * for i in range(extent): # <<<<<<<<<<<<<< + * _slice_assign_scalar(data, shape + 1, strides + 1, + * ndim - 1, itemsize, item) + */ + /*else*/ { + __pyx_t_2 = __pyx_v_extent; + __pyx_t_3 = __pyx_t_2; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_i = __pyx_t_4; + + /* "View.MemoryView":1420 + * else: + * for i in range(extent): + * _slice_assign_scalar(data, shape + 1, strides + 1, # <<<<<<<<<<<<<< + * ndim - 1, itemsize, item) + * data += stride + */ + __pyx_memoryview__slice_assign_scalar(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize, __pyx_v_item); + + /* "View.MemoryView":1422 + * _slice_assign_scalar(data, shape + 1, strides + 1, + * ndim - 1, itemsize, item) + * data += stride # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_data = (__pyx_v_data + __pyx_v_stride); + } + } + __pyx_L3:; + + /* "View.MemoryView":1407 + * + * @cname('__pyx_memoryview__slice_assign_scalar') + * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< + * Py_ssize_t *strides, int ndim, + * size_t itemsize, void *item) nogil: + */ + + /* function exit code */ +} + +/* "(tree fragment)":1 + * def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<< + * cdef object __pyx_PickleError + * cdef object __pyx_result + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_1__pyx_unpickle_Enum(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_15View_dot_MemoryView_1__pyx_unpickle_Enum = {"__pyx_unpickle_Enum", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_15View_dot_MemoryView_1__pyx_unpickle_Enum, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_15View_dot_MemoryView_1__pyx_unpickle_Enum(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v___pyx_type = 0; + long __pyx_v___pyx_checksum; + PyObject *__pyx_v___pyx_state = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__pyx_unpickle_Enum (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_pyx_type,&__pyx_n_s_pyx_checksum,&__pyx_n_s_pyx_state,0}; + PyObject* values[3] = {0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pyx_type)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pyx_checksum)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_unpickle_Enum", 1, 3, 3, 1); __PYX_ERR(2, 1, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pyx_state)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_unpickle_Enum", 1, 3, 3, 2); __PYX_ERR(2, 1, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__pyx_unpickle_Enum") < 0)) __PYX_ERR(2, 1, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 3) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + } + __pyx_v___pyx_type = values[0]; + __pyx_v___pyx_checksum = __Pyx_PyInt_As_long(values[1]); if (unlikely((__pyx_v___pyx_checksum == (long)-1) && PyErr_Occurred())) __PYX_ERR(2, 1, __pyx_L3_error) + __pyx_v___pyx_state = values[2]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__pyx_unpickle_Enum", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(2, 1, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("View.MemoryView.__pyx_unpickle_Enum", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(__pyx_self, __pyx_v___pyx_type, __pyx_v___pyx_checksum, __pyx_v___pyx_state); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_v___pyx_PickleError = 0; + PyObject *__pyx_v___pyx_result = 0; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + int __pyx_t_6; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_unpickle_Enum", 0); + + /* "(tree fragment)":4 + * cdef object __pyx_PickleError + * cdef object __pyx_result + * if __pyx_checksum != 0xb068931: # <<<<<<<<<<<<<< + * from pickle import PickleError as __pyx_PickleError + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) + */ + __pyx_t_1 = ((__pyx_v___pyx_checksum != 0xb068931) != 0); + if (__pyx_t_1) { + + /* "(tree fragment)":5 + * cdef object __pyx_result + * if __pyx_checksum != 0xb068931: + * from pickle import PickleError as __pyx_PickleError # <<<<<<<<<<<<<< + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) + * __pyx_result = Enum.__new__(__pyx_type) + */ + __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 5, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_n_s_PickleError); + __Pyx_GIVEREF(__pyx_n_s_PickleError); + PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_PickleError); + __pyx_t_3 = __Pyx_Import(__pyx_n_s_pickle, __pyx_t_2, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 5, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_3, __pyx_n_s_PickleError); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 5, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_t_2); + __pyx_v___pyx_PickleError = __pyx_t_2; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "(tree fragment)":6 + * if __pyx_checksum != 0xb068931: + * from pickle import PickleError as __pyx_PickleError + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) # <<<<<<<<<<<<<< + * __pyx_result = Enum.__new__(__pyx_type) + * if __pyx_state is not None: + */ + __pyx_t_2 = __Pyx_PyInt_From_long(__pyx_v___pyx_checksum); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 6, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = __Pyx_PyString_Format(__pyx_kp_s_Incompatible_checksums_s_vs_0xb0, __pyx_t_2); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 6, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_INCREF(__pyx_v___pyx_PickleError); + __pyx_t_2 = __pyx_v___pyx_PickleError; __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_3 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_5, __pyx_t_4) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 6, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 6, __pyx_L1_error) + + /* "(tree fragment)":4 + * cdef object __pyx_PickleError + * cdef object __pyx_result + * if __pyx_checksum != 0xb068931: # <<<<<<<<<<<<<< + * from pickle import PickleError as __pyx_PickleError + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) + */ + } + + /* "(tree fragment)":7 + * from pickle import PickleError as __pyx_PickleError + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) + * __pyx_result = Enum.__new__(__pyx_type) # <<<<<<<<<<<<<< + * if __pyx_state is not None: + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_MemviewEnum_type), __pyx_n_s_new); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 7, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_4)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_4); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_3 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_4, __pyx_v___pyx_type) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_v___pyx_type); + __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 7, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v___pyx_result = __pyx_t_3; + __pyx_t_3 = 0; + + /* "(tree fragment)":8 + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) + * __pyx_result = Enum.__new__(__pyx_type) + * if __pyx_state is not None: # <<<<<<<<<<<<<< + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result + */ + __pyx_t_1 = (__pyx_v___pyx_state != Py_None); + __pyx_t_6 = (__pyx_t_1 != 0); + if (__pyx_t_6) { + + /* "(tree fragment)":9 + * __pyx_result = Enum.__new__(__pyx_type) + * if __pyx_state is not None: + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) # <<<<<<<<<<<<<< + * return __pyx_result + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): + */ + if (!(likely(PyTuple_CheckExact(__pyx_v___pyx_state))||((__pyx_v___pyx_state) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "tuple", Py_TYPE(__pyx_v___pyx_state)->tp_name), 0))) __PYX_ERR(2, 9, __pyx_L1_error) + __pyx_t_3 = __pyx_unpickle_Enum__set_state(((struct __pyx_MemviewEnum_obj *)__pyx_v___pyx_result), ((PyObject*)__pyx_v___pyx_state)); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 9, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "(tree fragment)":8 + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) + * __pyx_result = Enum.__new__(__pyx_type) + * if __pyx_state is not None: # <<<<<<<<<<<<<< + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result + */ + } + + /* "(tree fragment)":10 + * if __pyx_state is not None: + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result # <<<<<<<<<<<<<< + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): + * __pyx_result.name = __pyx_state[0] + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v___pyx_result); + __pyx_r = __pyx_v___pyx_result; + goto __pyx_L0; + + /* "(tree fragment)":1 + * def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<< + * cdef object __pyx_PickleError + * cdef object __pyx_result + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.__pyx_unpickle_Enum", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v___pyx_PickleError); + __Pyx_XDECREF(__pyx_v___pyx_result); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":11 + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): # <<<<<<<<<<<<<< + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): + */ + +static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *__pyx_v___pyx_result, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + Py_ssize_t __pyx_t_3; + int __pyx_t_4; + int __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_unpickle_Enum__set_state", 0); + + /* "(tree fragment)":12 + * return __pyx_result + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): + * __pyx_result.name = __pyx_state[0] # <<<<<<<<<<<<<< + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): + * __pyx_result.__dict__.update(__pyx_state[1]) + */ + if (unlikely(__pyx_v___pyx_state == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(2, 12, __pyx_L1_error) + } + __pyx_t_1 = __Pyx_GetItemInt_Tuple(__pyx_v___pyx_state, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 12, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_1); + __Pyx_GOTREF(__pyx_v___pyx_result->name); + __Pyx_DECREF(__pyx_v___pyx_result->name); + __pyx_v___pyx_result->name = __pyx_t_1; + __pyx_t_1 = 0; + + /* "(tree fragment)":13 + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): # <<<<<<<<<<<<<< + * __pyx_result.__dict__.update(__pyx_state[1]) + */ + if (unlikely(__pyx_v___pyx_state == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(2, 13, __pyx_L1_error) + } + __pyx_t_3 = PyTuple_GET_SIZE(__pyx_v___pyx_state); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(2, 13, __pyx_L1_error) + __pyx_t_4 = ((__pyx_t_3 > 1) != 0); + if (__pyx_t_4) { + } else { + __pyx_t_2 = __pyx_t_4; + goto __pyx_L4_bool_binop_done; + } + __pyx_t_4 = __Pyx_HasAttr(((PyObject *)__pyx_v___pyx_result), __pyx_n_s_dict); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 13, __pyx_L1_error) + __pyx_t_5 = (__pyx_t_4 != 0); + __pyx_t_2 = __pyx_t_5; + __pyx_L4_bool_binop_done:; + if (__pyx_t_2) { + + /* "(tree fragment)":14 + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): + * __pyx_result.__dict__.update(__pyx_state[1]) # <<<<<<<<<<<<<< + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v___pyx_result), __pyx_n_s_dict); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 14, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_update); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 14, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(__pyx_v___pyx_state == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(2, 14, __pyx_L1_error) + } + __pyx_t_6 = __Pyx_GetItemInt_Tuple(__pyx_v___pyx_state, 1, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 14, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_8 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_7); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_7, function); + } + } + __pyx_t_1 = (__pyx_t_8) ? __Pyx_PyObject_Call2Args(__pyx_t_7, __pyx_t_8, __pyx_t_6) : __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_6); + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 14, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "(tree fragment)":13 + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): # <<<<<<<<<<<<<< + * __pyx_result.__dict__.update(__pyx_state[1]) + */ + } + + /* "(tree fragment)":11 + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): # <<<<<<<<<<<<<< + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("View.MemoryView.__pyx_unpickle_Enum__set_state", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} +static struct __pyx_vtabstruct_array __pyx_vtable_array; + +static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_array_obj *p; + PyObject *o; + if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { + o = (*t->tp_alloc)(t, 0); + } else { + o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); + } + if (unlikely(!o)) return 0; + p = ((struct __pyx_array_obj *)o); + p->__pyx_vtab = __pyx_vtabptr_array; + p->mode = ((PyObject*)Py_None); Py_INCREF(Py_None); + p->_format = ((PyObject*)Py_None); Py_INCREF(Py_None); + if (unlikely(__pyx_array___cinit__(o, a, k) < 0)) goto bad; + return o; + bad: + Py_DECREF(o); o = 0; + return NULL; +} + +static void __pyx_tp_dealloc_array(PyObject *o) { + struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && (!PyType_IS_GC(Py_TYPE(o)) || !_PyGC_FINALIZED(o))) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1); + __pyx_array___dealloc__(o); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1); + PyErr_Restore(etype, eval, etb); + } + Py_CLEAR(p->mode); + Py_CLEAR(p->_format); + (*Py_TYPE(o)->tp_free)(o); +} +static PyObject *__pyx_sq_item_array(PyObject *o, Py_ssize_t i) { + PyObject *r; + PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; + r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); + Py_DECREF(x); + return r; +} + +static int __pyx_mp_ass_subscript_array(PyObject *o, PyObject *i, PyObject *v) { + if (v) { + return __pyx_array___setitem__(o, i, v); + } + else { + PyErr_Format(PyExc_NotImplementedError, + "Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name); + return -1; + } +} + +static PyObject *__pyx_tp_getattro_array(PyObject *o, PyObject *n) { + PyObject *v = __Pyx_PyObject_GenericGetAttr(o, n); + if (!v && PyErr_ExceptionMatches(PyExc_AttributeError)) { + PyErr_Clear(); + v = __pyx_array___getattr__(o, n); + } + return v; +} + +static PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__(o); +} + +static PyMethodDef __pyx_methods_array[] = { + {"__getattr__", (PyCFunction)__pyx_array___getattr__, METH_O|METH_COEXIST, 0}, + {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_array_1__reduce_cython__, METH_NOARGS, 0}, + {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_array_3__setstate_cython__, METH_O, 0}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_array[] = { + {(char *)"memview", __pyx_getprop___pyx_array_memview, 0, (char *)0, 0}, + {0, 0, 0, 0, 0} +}; + +static PySequenceMethods __pyx_tp_as_sequence_array = { + __pyx_array___len__, /*sq_length*/ + 0, /*sq_concat*/ + 0, /*sq_repeat*/ + __pyx_sq_item_array, /*sq_item*/ + 0, /*sq_slice*/ + 0, /*sq_ass_item*/ + 0, /*sq_ass_slice*/ + 0, /*sq_contains*/ + 0, /*sq_inplace_concat*/ + 0, /*sq_inplace_repeat*/ +}; + +static PyMappingMethods __pyx_tp_as_mapping_array = { + __pyx_array___len__, /*mp_length*/ + __pyx_array___getitem__, /*mp_subscript*/ + __pyx_mp_ass_subscript_array, /*mp_ass_subscript*/ +}; + +static PyBufferProcs __pyx_tp_as_buffer_array = { + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getreadbuffer*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getwritebuffer*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getsegcount*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getcharbuffer*/ + #endif + __pyx_array_getbuffer, /*bf_getbuffer*/ + 0, /*bf_releasebuffer*/ +}; + +static PyTypeObject __pyx_type___pyx_array = { + PyVarObject_HEAD_INIT(0, 0) + "cornac.models.comparer.recom_comparer_obj.array", /*tp_name*/ + sizeof(struct __pyx_array_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_array, /*tp_dealloc*/ + #if PY_VERSION_HEX < 0x030800b4 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 + 0, /*tp_vectorcall_offset*/ + #endif + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + #if PY_MAJOR_VERSION < 3 + 0, /*tp_compare*/ + #endif + #if PY_MAJOR_VERSION >= 3 + 0, /*tp_as_async*/ + #endif + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + &__pyx_tp_as_sequence_array, /*tp_as_sequence*/ + &__pyx_tp_as_mapping_array, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + __pyx_tp_getattro_array, /*tp_getattro*/ + 0, /*tp_setattro*/ + &__pyx_tp_as_buffer_array, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + 0, /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_array, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_array, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + 0, /*tp_dictoffset*/ + 0, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_array, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if PY_VERSION_HEX >= 0x030400a1 + 0, /*tp_finalize*/ + #endif + #if PY_VERSION_HEX >= 0x030800b1 + 0, /*tp_vectorcall*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, /*tp_print*/ + #endif +}; + +static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) { + struct __pyx_MemviewEnum_obj *p; + PyObject *o; + if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { + o = (*t->tp_alloc)(t, 0); + } else { + o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); + } + if (unlikely(!o)) return 0; + p = ((struct __pyx_MemviewEnum_obj *)o); + p->name = Py_None; Py_INCREF(Py_None); + return o; +} + +static void __pyx_tp_dealloc_Enum(PyObject *o) { + struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + #endif + PyObject_GC_UnTrack(o); + Py_CLEAR(p->name); + (*Py_TYPE(o)->tp_free)(o); +} + +static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) { + int e; + struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; + if (p->name) { + e = (*v)(p->name, a); if (e) return e; + } + return 0; +} + +static int __pyx_tp_clear_Enum(PyObject *o) { + PyObject* tmp; + struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; + tmp = ((PyObject*)p->name); + p->name = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + return 0; +} + +static PyMethodDef __pyx_methods_Enum[] = { + {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, METH_NOARGS, 0}, + {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, METH_O, 0}, + {0, 0, 0, 0} +}; + +static PyTypeObject __pyx_type___pyx_MemviewEnum = { + PyVarObject_HEAD_INIT(0, 0) + "cornac.models.comparer.recom_comparer_obj.Enum", /*tp_name*/ + sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_Enum, /*tp_dealloc*/ + #if PY_VERSION_HEX < 0x030800b4 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 + 0, /*tp_vectorcall_offset*/ + #endif + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + #if PY_MAJOR_VERSION < 3 + 0, /*tp_compare*/ + #endif + #if PY_MAJOR_VERSION >= 3 + 0, /*tp_as_async*/ + #endif + __pyx_MemviewEnum___repr__, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ + 0, /*tp_doc*/ + __pyx_tp_traverse_Enum, /*tp_traverse*/ + __pyx_tp_clear_Enum, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_Enum, /*tp_methods*/ + 0, /*tp_members*/ + 0, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + 0, /*tp_dictoffset*/ + __pyx_MemviewEnum___init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_Enum, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if PY_VERSION_HEX >= 0x030400a1 + 0, /*tp_finalize*/ + #endif + #if PY_VERSION_HEX >= 0x030800b1 + 0, /*tp_vectorcall*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, /*tp_print*/ + #endif +}; +static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview; + +static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_memoryview_obj *p; + PyObject *o; + if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { + o = (*t->tp_alloc)(t, 0); + } else { + o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); + } + if (unlikely(!o)) return 0; + p = ((struct __pyx_memoryview_obj *)o); + p->__pyx_vtab = __pyx_vtabptr_memoryview; + p->obj = Py_None; Py_INCREF(Py_None); + p->_size = Py_None; Py_INCREF(Py_None); + p->_array_interface = Py_None; Py_INCREF(Py_None); + p->view.obj = NULL; + if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad; + return o; + bad: + Py_DECREF(o); o = 0; + return NULL; +} + +static void __pyx_tp_dealloc_memoryview(PyObject *o) { + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + #endif + PyObject_GC_UnTrack(o); + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1); + __pyx_memoryview___dealloc__(o); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1); + PyErr_Restore(etype, eval, etb); + } + Py_CLEAR(p->obj); + Py_CLEAR(p->_size); + Py_CLEAR(p->_array_interface); + (*Py_TYPE(o)->tp_free)(o); +} + +static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) { + int e; + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; + if (p->obj) { + e = (*v)(p->obj, a); if (e) return e; + } + if (p->_size) { + e = (*v)(p->_size, a); if (e) return e; + } + if (p->_array_interface) { + e = (*v)(p->_array_interface, a); if (e) return e; + } + if (p->view.obj) { + e = (*v)(p->view.obj, a); if (e) return e; + } + return 0; +} + +static int __pyx_tp_clear_memoryview(PyObject *o) { + PyObject* tmp; + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; + tmp = ((PyObject*)p->obj); + p->obj = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + tmp = ((PyObject*)p->_size); + p->_size = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + tmp = ((PyObject*)p->_array_interface); + p->_array_interface = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + Py_CLEAR(p->view.obj); + return 0; +} +static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) { + PyObject *r; + PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; + r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); + Py_DECREF(x); + return r; +} + +static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) { + if (v) { + return __pyx_memoryview___setitem__(o, i, v); + } + else { + PyErr_Format(PyExc_NotImplementedError, + "Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name); + return -1; + } +} + +static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o); +} + +static PyMethodDef __pyx_methods_memoryview[] = { + {"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0}, + {"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0}, + {"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0}, + {"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0}, + {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_1__reduce_cython__, METH_NOARGS, 0}, + {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_3__setstate_cython__, METH_O, 0}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_memoryview[] = { + {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0}, + {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0}, + {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0}, + {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0}, + {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0}, + {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0}, + {(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0}, + {(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0}, + {(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0}, + {0, 0, 0, 0, 0} +}; + +static PySequenceMethods __pyx_tp_as_sequence_memoryview = { + __pyx_memoryview___len__, /*sq_length*/ + 0, /*sq_concat*/ + 0, /*sq_repeat*/ + __pyx_sq_item_memoryview, /*sq_item*/ + 0, /*sq_slice*/ + 0, /*sq_ass_item*/ + 0, /*sq_ass_slice*/ + 0, /*sq_contains*/ + 0, /*sq_inplace_concat*/ + 0, /*sq_inplace_repeat*/ +}; + +static PyMappingMethods __pyx_tp_as_mapping_memoryview = { + __pyx_memoryview___len__, /*mp_length*/ + __pyx_memoryview___getitem__, /*mp_subscript*/ + __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/ +}; + +static PyBufferProcs __pyx_tp_as_buffer_memoryview = { + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getreadbuffer*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getwritebuffer*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getsegcount*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getcharbuffer*/ + #endif + __pyx_memoryview_getbuffer, /*bf_getbuffer*/ + 0, /*bf_releasebuffer*/ +}; + +static PyTypeObject __pyx_type___pyx_memoryview = { + PyVarObject_HEAD_INIT(0, 0) + "cornac.models.comparer.recom_comparer_obj.memoryview", /*tp_name*/ + sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ + #if PY_VERSION_HEX < 0x030800b4 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 + 0, /*tp_vectorcall_offset*/ + #endif + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + #if PY_MAJOR_VERSION < 3 + 0, /*tp_compare*/ + #endif + #if PY_MAJOR_VERSION >= 3 + 0, /*tp_as_async*/ + #endif + __pyx_memoryview___repr__, /*tp_repr*/ + 0, /*tp_as_number*/ + &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/ + &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + __pyx_memoryview___str__, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ + 0, /*tp_doc*/ + __pyx_tp_traverse_memoryview, /*tp_traverse*/ + __pyx_tp_clear_memoryview, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_memoryview, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_memoryview, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + 0, /*tp_dictoffset*/ + 0, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_memoryview, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if PY_VERSION_HEX >= 0x030400a1 + 0, /*tp_finalize*/ + #endif + #if PY_VERSION_HEX >= 0x030800b1 + 0, /*tp_vectorcall*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, /*tp_print*/ + #endif +}; +static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice; + +static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_memoryviewslice_obj *p; + PyObject *o = __pyx_tp_new_memoryview(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_memoryviewslice_obj *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice; + p->from_object = Py_None; Py_INCREF(Py_None); + p->from_slice.memview = NULL; + return o; +} + +static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) { + struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + #endif + PyObject_GC_UnTrack(o); + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1); + __pyx_memoryviewslice___dealloc__(o); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1); + PyErr_Restore(etype, eval, etb); + } + Py_CLEAR(p->from_object); + PyObject_GC_Track(o); + __pyx_tp_dealloc_memoryview(o); +} + +static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) { + int e; + struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; + e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e; + if (p->from_object) { + e = (*v)(p->from_object, a); if (e) return e; + } + return 0; +} + +static int __pyx_tp_clear__memoryviewslice(PyObject *o) { + PyObject* tmp; + struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; + __pyx_tp_clear_memoryview(o); + tmp = ((PyObject*)p->from_object); + p->from_object = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + __PYX_XDEC_MEMVIEW(&p->from_slice, 1); + return 0; +} + +static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(o); +} + +static PyMethodDef __pyx_methods__memoryviewslice[] = { + {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_1__reduce_cython__, METH_NOARGS, 0}, + {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_3__setstate_cython__, METH_O, 0}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = { + {(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, (char *)0, 0}, + {0, 0, 0, 0, 0} +}; + +static PyTypeObject __pyx_type___pyx_memoryviewslice = { + PyVarObject_HEAD_INIT(0, 0) + "cornac.models.comparer.recom_comparer_obj._memoryviewslice", /*tp_name*/ + sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/ + #if PY_VERSION_HEX < 0x030800b4 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 + 0, /*tp_vectorcall_offset*/ + #endif + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + #if PY_MAJOR_VERSION < 3 + 0, /*tp_compare*/ + #endif + #if PY_MAJOR_VERSION >= 3 + 0, /*tp_as_async*/ + #endif + #if CYTHON_COMPILING_IN_PYPY + __pyx_memoryview___repr__, /*tp_repr*/ + #else + 0, /*tp_repr*/ + #endif + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + #if CYTHON_COMPILING_IN_PYPY + __pyx_memoryview___str__, /*tp_str*/ + #else + 0, /*tp_str*/ + #endif + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ + "Internal class for passing memoryview slices to Python", /*tp_doc*/ + __pyx_tp_traverse__memoryviewslice, /*tp_traverse*/ + __pyx_tp_clear__memoryviewslice, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods__memoryviewslice, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets__memoryviewslice, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + 0, /*tp_dictoffset*/ + 0, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new__memoryviewslice, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if PY_VERSION_HEX >= 0x030400a1 + 0, /*tp_finalize*/ + #endif + #if PY_VERSION_HEX >= 0x030800b1 + 0, /*tp_vectorcall*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, /*tp_print*/ + #endif +}; + +static PyMethodDef __pyx_methods[] = { + {0, 0, 0, 0} +}; + +#if PY_MAJOR_VERSION >= 3 +#if CYTHON_PEP489_MULTI_PHASE_INIT +static PyObject* __pyx_pymod_create(PyObject *spec, PyModuleDef *def); /*proto*/ +static int __pyx_pymod_exec_recom_comparer_obj(PyObject* module); /*proto*/ +static PyModuleDef_Slot __pyx_moduledef_slots[] = { + {Py_mod_create, (void*)__pyx_pymod_create}, + {Py_mod_exec, (void*)__pyx_pymod_exec_recom_comparer_obj}, + {0, NULL} +}; +#endif + +static struct PyModuleDef __pyx_moduledef = { + PyModuleDef_HEAD_INIT, + "recom_comparer_obj", + 0, /* m_doc */ + #if CYTHON_PEP489_MULTI_PHASE_INIT + 0, /* m_size */ + #else + -1, /* m_size */ + #endif + __pyx_methods /* m_methods */, + #if CYTHON_PEP489_MULTI_PHASE_INIT + __pyx_moduledef_slots, /* m_slots */ + #else + NULL, /* m_reload */ + #endif + NULL, /* m_traverse */ + NULL, /* m_clear */ + NULL /* m_free */ +}; +#endif +#ifndef CYTHON_SMALL_CODE +#if defined(__clang__) + #define CYTHON_SMALL_CODE +#elif defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 3)) + #define CYTHON_SMALL_CODE __attribute__((cold)) +#else + #define CYTHON_SMALL_CODE +#endif +#endif + +static __Pyx_StringTabEntry __pyx_string_tab[] = { + {&__pyx_kp_s_, __pyx_k_, sizeof(__pyx_k_), 0, 0, 1, 0}, + {&__pyx_kp_u_2f, __pyx_k_2f, sizeof(__pyx_k_2f), 0, 1, 0, 0}, + {&__pyx_n_s_A, __pyx_k_A, sizeof(__pyx_k_A), 0, 0, 1, 1}, + {&__pyx_n_s_AROUND_MODEL, __pyx_k_AROUND_MODEL, sizeof(__pyx_k_AROUND_MODEL), 0, 0, 1, 1}, + {&__pyx_n_s_ASCII, __pyx_k_ASCII, sizeof(__pyx_k_ASCII), 0, 0, 1, 1}, + {&__pyx_n_s_A_iids, __pyx_k_A_iids, sizeof(__pyx_k_A_iids), 0, 0, 1, 1}, + {&__pyx_n_s_A_item_counts, __pyx_k_A_item_counts, sizeof(__pyx_k_A_item_counts), 0, 0, 1, 1}, + {&__pyx_n_s_A_uids, __pyx_k_A_uids, sizeof(__pyx_k_A_uids), 0, 0, 1, 1}, + {&__pyx_n_s_A_user_counts, __pyx_k_A_user_counts, sizeof(__pyx_k_A_user_counts), 0, 0, 1, 1}, + {&__pyx_n_u_Around, __pyx_k_Around, sizeof(__pyx_k_Around), 0, 1, 0, 1}, + {&__pyx_kp_s_Buffer_view_does_not_expose_stri, __pyx_k_Buffer_view_does_not_expose_stri, sizeof(__pyx_k_Buffer_view_does_not_expose_stri), 0, 0, 1, 0}, + {&__pyx_kp_u_Building_chrono_purchared_items, __pyx_k_Building_chrono_purchared_items, sizeof(__pyx_k_Building_chrono_purchared_items), 0, 1, 0, 0}, + {&__pyx_kp_u_Building_item_aspect_quality_mat, __pyx_k_Building_item_aspect_quality_mat, sizeof(__pyx_k_Building_item_aspect_quality_mat), 0, 1, 0, 0}, + {&__pyx_kp_u_Building_matrices_completed, __pyx_k_Building_matrices_completed, sizeof(__pyx_k_Building_matrices_completed), 0, 1, 0, 0}, + {&__pyx_kp_u_Building_rating_matrix_completed, __pyx_k_Building_rating_matrix_completed, sizeof(__pyx_k_Building_rating_matrix_completed), 0, 1, 0, 0}, + {&__pyx_kp_u_Building_user_aspect_attention_m, __pyx_k_Building_user_aspect_attention_m, sizeof(__pyx_k_Building_user_aspect_attention_m), 0, 1, 0, 0}, + {&__pyx_kp_s_Can_only_create_a_buffer_that_is, __pyx_k_Can_only_create_a_buffer_that_is, sizeof(__pyx_k_Can_only_create_a_buffer_that_is), 0, 0, 1, 0}, + {&__pyx_kp_u_Can_t_make_score_prediction_for, __pyx_k_Can_t_make_score_prediction_for, sizeof(__pyx_k_Can_t_make_score_prediction_for), 0, 1, 0, 0}, + {&__pyx_kp_u_Can_t_make_score_prediction_for_2, __pyx_k_Can_t_make_score_prediction_for_2, sizeof(__pyx_k_Can_t_make_score_prediction_for_2), 0, 1, 0, 0}, + {&__pyx_kp_s_Cannot_assign_to_read_only_memor, __pyx_k_Cannot_assign_to_read_only_memor, sizeof(__pyx_k_Cannot_assign_to_read_only_memor), 0, 0, 1, 0}, + {&__pyx_kp_s_Cannot_create_writable_memory_vi, __pyx_k_Cannot_create_writable_memory_vi, sizeof(__pyx_k_Cannot_create_writable_memory_vi), 0, 0, 1, 0}, + {&__pyx_kp_s_Cannot_index_with_type_s, __pyx_k_Cannot_index_with_type_s, sizeof(__pyx_k_Cannot_index_with_type_s), 0, 0, 1, 0}, + {&__pyx_n_s_ComparERObj, __pyx_k_ComparERObj, sizeof(__pyx_k_ComparERObj), 0, 0, 1, 1}, + {&__pyx_n_u_ComparERObj, __pyx_k_ComparERObj, sizeof(__pyx_k_ComparERObj), 0, 1, 0, 1}, + {&__pyx_n_s_ComparERObj___init, __pyx_k_ComparERObj___init, sizeof(__pyx_k_ComparERObj___init), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj__build_chrono_purcha, __pyx_k_ComparERObj__build_chrono_purcha, sizeof(__pyx_k_ComparERObj__build_chrono_purcha), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj__build_item_quality, __pyx_k_ComparERObj__build_item_quality, sizeof(__pyx_k_ComparERObj__build_item_quality), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj__build_matrices, __pyx_k_ComparERObj__build_matrices, sizeof(__pyx_k_ComparERObj__build_matrices), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj__build_rating_matrix, __pyx_k_ComparERObj__build_rating_matrix, sizeof(__pyx_k_ComparERObj__build_rating_matrix), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj__build_user_attentio, __pyx_k_ComparERObj__build_user_attentio, sizeof(__pyx_k_ComparERObj__build_user_attentio), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj__compute_attention_s, __pyx_k_ComparERObj__compute_attention_s, sizeof(__pyx_k_ComparERObj__compute_attention_s), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj__compute_quality_sco, __pyx_k_ComparERObj__compute_quality_sco, sizeof(__pyx_k_ComparERObj__compute_quality_sco), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj__fit_efm, __pyx_k_ComparERObj__fit_efm, sizeof(__pyx_k_ComparERObj__fit_efm), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj__get_loss, __pyx_k_ComparERObj__get_loss, sizeof(__pyx_k_ComparERObj__get_loss), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj__init_params, __pyx_k_ComparERObj__init_params, sizeof(__pyx_k_ComparERObj__init_params), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj__validate_model_type, __pyx_k_ComparERObj__validate_model_type, sizeof(__pyx_k_ComparERObj__validate_model_type), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj_fit, __pyx_k_ComparERObj_fit, sizeof(__pyx_k_ComparERObj_fit), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj_get_params, __pyx_k_ComparERObj_get_params, sizeof(__pyx_k_ComparERObj_get_params), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj_monitor_value, __pyx_k_ComparERObj_monitor_value, sizeof(__pyx_k_ComparERObj_monitor_value), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj_rank, __pyx_k_ComparERObj_rank, sizeof(__pyx_k_ComparERObj_rank), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERObj_score, __pyx_k_ComparERObj_score, sizeof(__pyx_k_ComparERObj_score), 0, 0, 1, 1}, + {&__pyx_n_s_Counter, __pyx_k_Counter, sizeof(__pyx_k_Counter), 0, 0, 1, 1}, + {&__pyx_n_s_DOM_MODEL, __pyx_k_DOM_MODEL, sizeof(__pyx_k_DOM_MODEL), 0, 0, 1, 1}, + {&__pyx_n_u_Dominant, __pyx_k_Dominant, sizeof(__pyx_k_Dominant), 0, 1, 0, 1}, + {&__pyx_n_s_Ellipsis, __pyx_k_Ellipsis, sizeof(__pyx_k_Ellipsis), 0, 0, 1, 1}, + {&__pyx_kp_s_Empty_shape_tuple_for_cython_arr, __pyx_k_Empty_shape_tuple_for_cython_arr, sizeof(__pyx_k_Empty_shape_tuple_for_cython_arr), 0, 0, 1, 0}, + {&__pyx_kp_u_Enumerate_index, __pyx_k_Enumerate_index, sizeof(__pyx_k_Enumerate_index), 0, 1, 0, 0}, + {&__pyx_kp_s_Expected_at_least_d_argument_s_g, __pyx_k_Expected_at_least_d_argument_s_g, sizeof(__pyx_k_Expected_at_least_d_argument_s_g), 0, 0, 1, 0}, + {&__pyx_kp_s_Explainable_Recommendation_with, __pyx_k_Explainable_Recommendation_with, sizeof(__pyx_k_Explainable_Recommendation_with), 0, 0, 1, 0}, + {&__pyx_n_s_FINER_MODEL, __pyx_k_FINER_MODEL, sizeof(__pyx_k_FINER_MODEL), 0, 0, 1, 1}, + {&__pyx_n_u_Finer, __pyx_k_Finer, sizeof(__pyx_k_Finer), 0, 1, 0, 1}, + {&__pyx_kp_u_Format_string_allocated_too_shor, __pyx_k_Format_string_allocated_too_shor, sizeof(__pyx_k_Format_string_allocated_too_shor), 0, 1, 0, 0}, + {&__pyx_kp_u_Format_string_allocated_too_shor_2, __pyx_k_Format_string_allocated_too_shor_2, sizeof(__pyx_k_Format_string_allocated_too_shor_2), 0, 1, 0, 0}, + {&__pyx_kp_s_Function_call_with_ambiguous_arg, __pyx_k_Function_call_with_ambiguous_arg, sizeof(__pyx_k_Function_call_with_ambiguous_arg), 0, 0, 1, 0}, + {&__pyx_kp_u_Get_purchased_pairs, __pyx_k_Get_purchased_pairs, sizeof(__pyx_k_Get_purchased_pairs), 0, 1, 0, 0}, + {&__pyx_kp_u_Get_skyline_aspects, __pyx_k_Get_skyline_aspects, sizeof(__pyx_k_Get_skyline_aspects), 0, 1, 0, 0}, + {&__pyx_n_s_H1, __pyx_k_H1, sizeof(__pyx_k_H1), 0, 0, 1, 1}, + {&__pyx_n_u_H1, __pyx_k_H1, sizeof(__pyx_k_H1), 0, 1, 0, 1}, + {&__pyx_n_s_H1_denominator, __pyx_k_H1_denominator, sizeof(__pyx_k_H1_denominator), 0, 0, 1, 1}, + {&__pyx_n_s_H1_numerator, __pyx_k_H1_numerator, sizeof(__pyx_k_H1_numerator), 0, 0, 1, 1}, + {&__pyx_n_s_H2, __pyx_k_H2, sizeof(__pyx_k_H2), 0, 0, 1, 1}, + {&__pyx_n_u_H2, __pyx_k_H2, sizeof(__pyx_k_H2), 0, 1, 0, 1}, + {&__pyx_n_s_H2_denominator, __pyx_k_H2_denominator, sizeof(__pyx_k_H2_denominator), 0, 0, 1, 1}, + {&__pyx_n_s_H2_numerator, __pyx_k_H2_numerator, sizeof(__pyx_k_H2_numerator), 0, 0, 1, 1}, + {&__pyx_n_s_ImportError, __pyx_k_ImportError, sizeof(__pyx_k_ImportError), 0, 0, 1, 1}, + {&__pyx_kp_s_Incompatible_checksums_s_vs_0xb0, __pyx_k_Incompatible_checksums_s_vs_0xb0, sizeof(__pyx_k_Incompatible_checksums_s_vs_0xb0), 0, 0, 1, 0}, + {&__pyx_n_s_IndexError, __pyx_k_IndexError, sizeof(__pyx_k_IndexError), 0, 0, 1, 1}, + {&__pyx_kp_s_Indirect_dimensions_not_supporte, __pyx_k_Indirect_dimensions_not_supporte, sizeof(__pyx_k_Indirect_dimensions_not_supporte), 0, 0, 1, 0}, + {&__pyx_kp_s_Invalid_mode_expected_c_or_fortr, __pyx_k_Invalid_mode_expected_c_or_fortr, sizeof(__pyx_k_Invalid_mode_expected_c_or_fortr), 0, 0, 1, 0}, + {&__pyx_kp_u_Invalid_model_type_Only_support, __pyx_k_Invalid_model_type_Only_support, sizeof(__pyx_k_Invalid_model_type_Only_support), 0, 1, 0, 0}, + {&__pyx_kp_s_Invalid_shape_in_axis_d_d, __pyx_k_Invalid_shape_in_axis_d_d, sizeof(__pyx_k_Invalid_shape_in_axis_d_d), 0, 0, 1, 0}, + {&__pyx_n_s_MODEL_TYPES, __pyx_k_MODEL_TYPES, sizeof(__pyx_k_MODEL_TYPES), 0, 0, 1, 1}, + {&__pyx_n_s_MemoryError, __pyx_k_MemoryError, sizeof(__pyx_k_MemoryError), 0, 0, 1, 1}, + {&__pyx_kp_s_MemoryView_of_r_at_0x_x, __pyx_k_MemoryView_of_r_at_0x_x, sizeof(__pyx_k_MemoryView_of_r_at_0x_x), 0, 0, 1, 0}, + {&__pyx_kp_s_MemoryView_of_r_object, __pyx_k_MemoryView_of_r_object, sizeof(__pyx_k_MemoryView_of_r_object), 0, 0, 1, 0}, + {&__pyx_kp_s_No_matching_signature_found, __pyx_k_No_matching_signature_found, sizeof(__pyx_k_No_matching_signature_found), 0, 0, 1, 0}, + {&__pyx_kp_u_Non_native_byte_order_not_suppor, __pyx_k_Non_native_byte_order_not_suppor, sizeof(__pyx_k_Non_native_byte_order_not_suppor), 0, 1, 0, 0}, + {&__pyx_n_b_O, __pyx_k_O, sizeof(__pyx_k_O), 0, 0, 0, 1}, + {&__pyx_kp_u_Optimization_finished, __pyx_k_Optimization_finished, sizeof(__pyx_k_Optimization_finished), 0, 1, 0, 0}, + {&__pyx_n_s_OrderedDict, __pyx_k_OrderedDict, sizeof(__pyx_k_OrderedDict), 0, 0, 1, 1}, + {&__pyx_kp_s_Out_of_bounds_on_buffer_access_a, __pyx_k_Out_of_bounds_on_buffer_access_a, sizeof(__pyx_k_Out_of_bounds_on_buffer_access_a), 0, 0, 1, 0}, + {&__pyx_n_s_PickleError, __pyx_k_PickleError, sizeof(__pyx_k_PickleError), 0, 0, 1, 1}, + {&__pyx_n_s_Recommender, __pyx_k_Recommender, sizeof(__pyx_k_Recommender), 0, 0, 1, 1}, + {&__pyx_n_s_RuntimeError, __pyx_k_RuntimeError, sizeof(__pyx_k_RuntimeError), 0, 0, 1, 1}, + {&__pyx_n_s_ScoreException, __pyx_k_ScoreException, sizeof(__pyx_k_ScoreException), 0, 0, 1, 1}, + {&__pyx_kp_u_Statistics_aspect_pairs, __pyx_k_Statistics_aspect_pairs, sizeof(__pyx_k_Statistics_aspect_pairs), 0, 1, 0, 0}, + {&__pyx_n_s_T, __pyx_k_T, sizeof(__pyx_k_T), 0, 0, 1, 1}, + {&__pyx_n_s_TypeError, __pyx_k_TypeError, sizeof(__pyx_k_TypeError), 0, 0, 1, 1}, + {&__pyx_n_s_U1, __pyx_k_U1, sizeof(__pyx_k_U1), 0, 0, 1, 1}, + {&__pyx_n_u_U1, __pyx_k_U1, sizeof(__pyx_k_U1), 0, 1, 0, 1}, + {&__pyx_n_s_U1_denominator, __pyx_k_U1_denominator, sizeof(__pyx_k_U1_denominator), 0, 0, 1, 1}, + {&__pyx_n_s_U1_numerator, __pyx_k_U1_numerator, sizeof(__pyx_k_U1_numerator), 0, 0, 1, 1}, + {&__pyx_n_s_U2, __pyx_k_U2, sizeof(__pyx_k_U2), 0, 0, 1, 1}, + {&__pyx_n_u_U2, __pyx_k_U2, sizeof(__pyx_k_U2), 0, 1, 0, 1}, + {&__pyx_n_s_U2_denominator, __pyx_k_U2_denominator, sizeof(__pyx_k_U2_denominator), 0, 0, 1, 1}, + {&__pyx_n_s_U2_numerator, __pyx_k_U2_numerator, sizeof(__pyx_k_U2_numerator), 0, 0, 1, 1}, + {&__pyx_kp_s_Unable_to_convert_item_to_object, __pyx_k_Unable_to_convert_item_to_object, sizeof(__pyx_k_Unable_to_convert_item_to_object), 0, 0, 1, 0}, + {&__pyx_n_s_V, __pyx_k_V, sizeof(__pyx_k_V), 0, 0, 1, 1}, + {&__pyx_n_u_V, __pyx_k_V, sizeof(__pyx_k_V), 0, 1, 0, 1}, + {&__pyx_n_s_V_denominator, __pyx_k_V_denominator, sizeof(__pyx_k_V_denominator), 0, 0, 1, 1}, + {&__pyx_n_s_V_numerator, __pyx_k_V_numerator, sizeof(__pyx_k_V_numerator), 0, 0, 1, 1}, + {&__pyx_n_s_ValueError, __pyx_k_ValueError, sizeof(__pyx_k_ValueError), 0, 0, 1, 1}, + {&__pyx_n_s_View_MemoryView, __pyx_k_View_MemoryView, sizeof(__pyx_k_View_MemoryView), 0, 0, 1, 1}, + {&__pyx_n_s_X, __pyx_k_X, sizeof(__pyx_k_X), 0, 0, 1, 1}, + {&__pyx_n_s_X_2, __pyx_k_X_2, sizeof(__pyx_k_X_2), 0, 0, 1, 1}, + {&__pyx_n_s_X_aids, __pyx_k_X_aids, sizeof(__pyx_k_X_aids), 0, 0, 1, 1}, + {&__pyx_n_s_X_aspect_counts, __pyx_k_X_aspect_counts, sizeof(__pyx_k_X_aspect_counts), 0, 0, 1, 1}, + {&__pyx_n_s_X_uids, __pyx_k_X_uids, sizeof(__pyx_k_X_uids), 0, 0, 1, 1}, + {&__pyx_n_s_X_user_counts, __pyx_k_X_user_counts, sizeof(__pyx_k_X_user_counts), 0, 0, 1, 1}, + {&__pyx_n_s_Y, __pyx_k_Y, sizeof(__pyx_k_Y), 0, 0, 1, 1}, + {&__pyx_n_s_Y_aids, __pyx_k_Y_aids, sizeof(__pyx_k_Y_aids), 0, 0, 1, 1}, + {&__pyx_n_s_Y_aspect_counts, __pyx_k_Y_aspect_counts, sizeof(__pyx_k_Y_aspect_counts), 0, 0, 1, 1}, + {&__pyx_n_s_Y_iids, __pyx_k_Y_iids, sizeof(__pyx_k_Y_iids), 0, 0, 1, 1}, + {&__pyx_n_s_Y_item_counts, __pyx_k_Y_item_counts, sizeof(__pyx_k_Y_item_counts), 0, 0, 1, 1}, + {&__pyx_kp_s__2, __pyx_k__2, sizeof(__pyx_k__2), 0, 0, 1, 0}, + {&__pyx_n_s__35, __pyx_k__35, sizeof(__pyx_k__35), 0, 0, 1, 1}, + {&__pyx_n_s__54, __pyx_k__54, sizeof(__pyx_k__54), 0, 0, 1, 1}, + {&__pyx_kp_u__6, __pyx_k__6, sizeof(__pyx_k__6), 0, 1, 0, 0}, + {&__pyx_kp_u__7, __pyx_k__7, sizeof(__pyx_k__7), 0, 1, 0, 0}, + {&__pyx_n_s_aid, __pyx_k_aid, sizeof(__pyx_k_aid), 0, 0, 1, 1}, + {&__pyx_n_s_allocate_buffer, __pyx_k_allocate_buffer, sizeof(__pyx_k_allocate_buffer), 0, 0, 1, 1}, + {&__pyx_n_s_alpha, __pyx_k_alpha, sizeof(__pyx_k_alpha), 0, 0, 1, 1}, + {&__pyx_n_s_append, __pyx_k_append, sizeof(__pyx_k_append), 0, 0, 1, 1}, + {&__pyx_n_s_arange, __pyx_k_arange, sizeof(__pyx_k_arange), 0, 0, 1, 1}, + {&__pyx_n_s_args, __pyx_k_args, sizeof(__pyx_k_args), 0, 0, 1, 1}, + {&__pyx_n_s_argsort, __pyx_k_argsort, sizeof(__pyx_k_argsort), 0, 0, 1, 1}, + {&__pyx_n_s_asarray, __pyx_k_asarray, sizeof(__pyx_k_asarray), 0, 0, 1, 1}, + {&__pyx_kp_u_aspect_bpr_loss, __pyx_k_aspect_bpr_loss, sizeof(__pyx_k_aspect_bpr_loss), 0, 1, 0, 0}, + {&__pyx_n_s_aspect_bpr_loss_2, __pyx_k_aspect_bpr_loss_2, sizeof(__pyx_k_aspect_bpr_loss_2), 0, 0, 1, 1}, + {&__pyx_n_s_aspect_idx, __pyx_k_aspect_idx, sizeof(__pyx_k_aspect_idx), 0, 0, 1, 1}, + {&__pyx_n_s_aspect_indices, __pyx_k_aspect_indices, sizeof(__pyx_k_aspect_indices), 0, 0, 1, 1}, + {&__pyx_n_s_assume_unique, __pyx_k_assume_unique, sizeof(__pyx_k_assume_unique), 0, 0, 1, 1}, + {&__pyx_n_s_astype, __pyx_k_astype, sizeof(__pyx_k_astype), 0, 0, 1, 1}, + {&__pyx_n_s_attention_scores, __pyx_k_attention_scores, sizeof(__pyx_k_attention_scores), 0, 0, 1, 1}, + {&__pyx_kp_u_avg, __pyx_k_avg, sizeof(__pyx_k_avg), 0, 1, 0, 0}, + {&__pyx_n_s_avg_sentiment, __pyx_k_avg_sentiment, sizeof(__pyx_k_avg_sentiment), 0, 0, 1, 1}, + {&__pyx_n_s_base, __pyx_k_base, sizeof(__pyx_k_base), 0, 0, 1, 1}, + {&__pyx_n_s_build_chrono_purchased_pairs, __pyx_k_build_chrono_purchased_pairs, sizeof(__pyx_k_build_chrono_purchased_pairs), 0, 0, 1, 1}, + {&__pyx_n_s_build_item_quality_matrix, __pyx_k_build_item_quality_matrix, sizeof(__pyx_k_build_item_quality_matrix), 0, 0, 1, 1}, + {&__pyx_n_s_build_matrices, __pyx_k_build_matrices, sizeof(__pyx_k_build_matrices), 0, 0, 1, 1}, + {&__pyx_n_s_build_rating_matrix, __pyx_k_build_rating_matrix, sizeof(__pyx_k_build_rating_matrix), 0, 0, 1, 1}, + {&__pyx_n_s_build_user_attention_matrix, __pyx_k_build_user_attention_matrix, sizeof(__pyx_k_build_user_attention_matrix), 0, 0, 1, 1}, + {&__pyx_n_s_c, __pyx_k_c, sizeof(__pyx_k_c), 0, 0, 1, 1}, + {&__pyx_n_u_c, __pyx_k_c, sizeof(__pyx_k_c), 0, 1, 0, 1}, + {&__pyx_n_s_chrono_purchased_pairs, __pyx_k_chrono_purchased_pairs, sizeof(__pyx_k_chrono_purchased_pairs), 0, 0, 1, 1}, + {&__pyx_n_s_chrono_user_data, __pyx_k_chrono_user_data, sizeof(__pyx_k_chrono_user_data), 0, 0, 1, 1}, + {&__pyx_n_s_class, __pyx_k_class, sizeof(__pyx_k_class), 0, 0, 1, 1}, + {&__pyx_n_s_cline_in_traceback, __pyx_k_cline_in_traceback, sizeof(__pyx_k_cline_in_traceback), 0, 0, 1, 1}, + {&__pyx_n_s_collections, __pyx_k_collections, sizeof(__pyx_k_collections), 0, 0, 1, 1}, + {&__pyx_n_s_combinations, __pyx_k_combinations, sizeof(__pyx_k_combinations), 0, 0, 1, 1}, + {&__pyx_n_s_common_aspect_counts, __pyx_k_common_aspect_counts, sizeof(__pyx_k_common_aspect_counts), 0, 0, 1, 1}, + {&__pyx_kp_u_comparable_pairs, __pyx_k_comparable_pairs, sizeof(__pyx_k_comparable_pairs), 0, 1, 0, 0}, + {&__pyx_n_s_compute_attention_score, __pyx_k_compute_attention_score, sizeof(__pyx_k_compute_attention_score), 0, 0, 1, 1}, + {&__pyx_n_s_compute_quality_score, __pyx_k_compute_quality_score, sizeof(__pyx_k_compute_quality_score), 0, 0, 1, 1}, + {&__pyx_kp_s_contiguous_and_direct, __pyx_k_contiguous_and_direct, sizeof(__pyx_k_contiguous_and_direct), 0, 0, 1, 0}, + {&__pyx_kp_s_contiguous_and_indirect, __pyx_k_contiguous_and_indirect, sizeof(__pyx_k_contiguous_and_indirect), 0, 0, 1, 0}, + {&__pyx_n_s_cornac_models_comparer_recom_com, __pyx_k_cornac_models_comparer_recom_com, sizeof(__pyx_k_cornac_models_comparer_recom_com), 0, 0, 1, 1}, + {&__pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_k_cornac_models_comparer_recom_com_2, sizeof(__pyx_k_cornac_models_comparer_recom_com_2), 0, 0, 1, 0}, + {&__pyx_kp_u_correct, __pyx_k_correct, sizeof(__pyx_k_correct), 0, 1, 0, 0}, + {&__pyx_n_s_correct_2, __pyx_k_correct_2, sizeof(__pyx_k_correct_2), 0, 0, 1, 1}, + {&__pyx_n_s_count, __pyx_k_count, sizeof(__pyx_k_count), 0, 0, 1, 1}, + {&__pyx_n_s_cpu_count, __pyx_k_cpu_count, sizeof(__pyx_k_cpu_count), 0, 0, 1, 1}, + {&__pyx_n_s_csr_matrix, __pyx_k_csr_matrix, sizeof(__pyx_k_csr_matrix), 0, 0, 1, 1}, + {&__pyx_n_u_d, __pyx_k_d, sizeof(__pyx_k_d), 0, 1, 0, 1}, + {&__pyx_n_s_data, __pyx_k_data, sizeof(__pyx_k_data), 0, 0, 1, 1}, + {&__pyx_n_s_data_set, __pyx_k_data_set, sizeof(__pyx_k_data_set), 0, 0, 1, 1}, + {&__pyx_n_s_defaults, __pyx_k_defaults, sizeof(__pyx_k_defaults), 0, 0, 1, 1}, + {&__pyx_n_s_desc, __pyx_k_desc, sizeof(__pyx_k_desc), 0, 0, 1, 1}, + {&__pyx_n_s_dict, __pyx_k_dict, sizeof(__pyx_k_dict), 0, 0, 1, 1}, + {&__pyx_n_s_diff, __pyx_k_diff, sizeof(__pyx_k_diff), 0, 0, 1, 1}, + {&__pyx_n_s_doc, __pyx_k_doc, sizeof(__pyx_k_doc), 0, 0, 1, 1}, + {&__pyx_n_s_dot, __pyx_k_dot, sizeof(__pyx_k_dot), 0, 0, 1, 1}, + {&__pyx_n_s_double, __pyx_k_double, sizeof(__pyx_k_double), 0, 0, 1, 1}, + {&__pyx_kp_s_double_int, __pyx_k_double_int, sizeof(__pyx_k_double_int), 0, 0, 1, 0}, + {&__pyx_kp_s_double_long, __pyx_k_double_long, sizeof(__pyx_k_double_long), 0, 0, 1, 0}, + {&__pyx_kp_s_double_short, __pyx_k_double_short, sizeof(__pyx_k_double_short), 0, 0, 1, 0}, + {&__pyx_n_s_dtype, __pyx_k_dtype, sizeof(__pyx_k_dtype), 0, 0, 1, 1}, + {&__pyx_n_s_dtype_is_object, __pyx_k_dtype_is_object, sizeof(__pyx_k_dtype_is_object), 0, 0, 1, 1}, + {&__pyx_n_s_earlier_indices, __pyx_k_earlier_indices, sizeof(__pyx_k_earlier_indices), 0, 0, 1, 1}, + {&__pyx_n_s_earlier_item_idx, __pyx_k_earlier_item_idx, sizeof(__pyx_k_earlier_item_idx), 0, 0, 1, 1}, + {&__pyx_kp_u_earlier_later_pairs, __pyx_k_earlier_later_pairs, sizeof(__pyx_k_earlier_later_pairs), 0, 1, 0, 0}, + {&__pyx_n_s_early_stop, __pyx_k_early_stop, sizeof(__pyx_k_early_stop), 0, 0, 1, 1}, + {&__pyx_n_s_early_stopping, __pyx_k_early_stopping, sizeof(__pyx_k_early_stopping), 0, 0, 1, 1}, + {&__pyx_n_s_ediff1d, __pyx_k_ediff1d, sizeof(__pyx_k_ediff1d), 0, 0, 1, 1}, + {&__pyx_n_s_empty, __pyx_k_empty, sizeof(__pyx_k_empty), 0, 0, 1, 1}, + {&__pyx_n_s_encode, __pyx_k_encode, sizeof(__pyx_k_encode), 0, 0, 1, 1}, + {&__pyx_n_s_enum_window, __pyx_k_enum_window, sizeof(__pyx_k_enum_window), 0, 0, 1, 1}, + {&__pyx_n_s_enumerate, __pyx_k_enumerate, sizeof(__pyx_k_enumerate), 0, 0, 1, 1}, + {&__pyx_n_s_eps, __pyx_k_eps, sizeof(__pyx_k_eps), 0, 0, 1, 1}, + {&__pyx_n_s_error, __pyx_k_error, sizeof(__pyx_k_error), 0, 0, 1, 1}, + {&__pyx_n_s_exception, __pyx_k_exception, sizeof(__pyx_k_exception), 0, 0, 1, 1}, + {&__pyx_n_s_exp, __pyx_k_exp, sizeof(__pyx_k_exp), 0, 0, 1, 1}, + {&__pyx_n_s_explicit_scores, __pyx_k_explicit_scores, sizeof(__pyx_k_explicit_scores), 0, 0, 1, 1}, + {&__pyx_n_s_f, __pyx_k_f, sizeof(__pyx_k_f), 0, 0, 1, 1}, + {&__pyx_n_s_fill, __pyx_k_fill, sizeof(__pyx_k_fill), 0, 0, 1, 1}, + {&__pyx_n_s_fit, __pyx_k_fit, sizeof(__pyx_k_fit), 0, 0, 1, 1}, + {&__pyx_n_s_fit_efm, __pyx_k_fit_efm, sizeof(__pyx_k_fit_efm), 0, 0, 1, 1}, + {&__pyx_n_s_flags, __pyx_k_flags, sizeof(__pyx_k_flags), 0, 0, 1, 1}, + {&__pyx_n_s_flatten, __pyx_k_flatten, sizeof(__pyx_k_flatten), 0, 0, 1, 1}, + {&__pyx_n_s_float, __pyx_k_float, sizeof(__pyx_k_float), 0, 0, 1, 1}, + {&__pyx_n_s_float32, __pyx_k_float32, sizeof(__pyx_k_float32), 0, 0, 1, 1}, + {&__pyx_kp_s_float_int, __pyx_k_float_int, sizeof(__pyx_k_float_int), 0, 0, 1, 0}, + {&__pyx_kp_s_float_long, __pyx_k_float_long, sizeof(__pyx_k_float_long), 0, 0, 1, 0}, + {&__pyx_kp_s_float_short, __pyx_k_float_short, sizeof(__pyx_k_float_short), 0, 0, 1, 0}, + {&__pyx_n_s_format, __pyx_k_format, sizeof(__pyx_k_format), 0, 0, 1, 1}, + {&__pyx_n_s_fortran, __pyx_k_fortran, sizeof(__pyx_k_fortran), 0, 0, 1, 1}, + {&__pyx_n_u_fortran, __pyx_k_fortran, sizeof(__pyx_k_fortran), 0, 1, 0, 1}, + {&__pyx_n_s_get, __pyx_k_get, sizeof(__pyx_k_get), 0, 0, 1, 1}, + {&__pyx_n_s_get_loss, __pyx_k_get_loss, sizeof(__pyx_k_get_loss), 0, 0, 1, 1}, + {&__pyx_n_s_get_params, __pyx_k_get_params, sizeof(__pyx_k_get_params), 0, 0, 1, 1}, + {&__pyx_n_s_get_rng, __pyx_k_get_rng, sizeof(__pyx_k_get_rng), 0, 0, 1, 1}, + {&__pyx_n_s_getstate, __pyx_k_getstate, sizeof(__pyx_k_getstate), 0, 0, 1, 1}, + {&__pyx_kp_s_got_differing_extents_in_dimensi, __pyx_k_got_differing_extents_in_dimensi, sizeof(__pyx_k_got_differing_extents_in_dimensi), 0, 0, 1, 0}, + {&__pyx_n_s_grad, __pyx_k_grad, sizeof(__pyx_k_grad), 0, 0, 1, 1}, + {&__pyx_n_s_high, __pyx_k_high, sizeof(__pyx_k_high), 0, 0, 1, 1}, + {&__pyx_n_s_i, __pyx_k_i, sizeof(__pyx_k_i), 0, 0, 1, 1}, + {&__pyx_n_s_id, __pyx_k_id, sizeof(__pyx_k_id), 0, 0, 1, 1}, + {&__pyx_n_s_idx, __pyx_k_idx, sizeof(__pyx_k_idx), 0, 0, 1, 1}, + {&__pyx_n_s_iid, __pyx_k_iid, sizeof(__pyx_k_iid), 0, 0, 1, 1}, + {&__pyx_n_s_import, __pyx_k_import, sizeof(__pyx_k_import), 0, 0, 1, 1}, + {&__pyx_n_s_indices, __pyx_k_indices, sizeof(__pyx_k_indices), 0, 0, 1, 1}, + {&__pyx_n_s_indptr, __pyx_k_indptr, sizeof(__pyx_k_indptr), 0, 0, 1, 1}, + {&__pyx_n_s_init, __pyx_k_init, sizeof(__pyx_k_init), 0, 0, 1, 1}, + {&__pyx_n_s_init_params, __pyx_k_init_params, sizeof(__pyx_k_init_params), 0, 0, 1, 1}, + {&__pyx_n_s_init_params_2, __pyx_k_init_params_2, sizeof(__pyx_k_init_params_2), 0, 0, 1, 1}, + {&__pyx_n_s_int, __pyx_k_int, sizeof(__pyx_k_int), 0, 0, 1, 1}, + {&__pyx_n_s_int32, __pyx_k_int32, sizeof(__pyx_k_int32), 0, 0, 1, 1}, + {&__pyx_n_s_intersects, __pyx_k_intersects, sizeof(__pyx_k_intersects), 0, 0, 1, 1}, + {&__pyx_n_s_is_unk_item, __pyx_k_is_unk_item, sizeof(__pyx_k_is_unk_item), 0, 0, 1, 1}, + {&__pyx_n_s_is_unk_user, __pyx_k_is_unk_user, sizeof(__pyx_k_is_unk_user), 0, 0, 1, 1}, + {&__pyx_n_s_item_aspect_count, __pyx_k_item_aspect_count, sizeof(__pyx_k_item_aspect_count), 0, 0, 1, 1}, + {&__pyx_n_s_item_aspects, __pyx_k_item_aspects, sizeof(__pyx_k_item_aspects), 0, 0, 1, 1}, + {&__pyx_n_s_item_id, __pyx_k_item_id, sizeof(__pyx_k_item_id), 0, 0, 1, 1}, + {&__pyx_kp_u_item_id_2, __pyx_k_item_id_2, sizeof(__pyx_k_item_id_2), 0, 1, 0, 0}, + {&__pyx_n_s_item_ids, __pyx_k_item_ids, sizeof(__pyx_k_item_ids), 0, 0, 1, 1}, + {&__pyx_n_s_item_rank, __pyx_k_item_rank, sizeof(__pyx_k_item_rank), 0, 0, 1, 1}, + {&__pyx_n_s_item_score, __pyx_k_item_score, sizeof(__pyx_k_item_score), 0, 0, 1, 1}, + {&__pyx_n_s_item_scores, __pyx_k_item_scores, sizeof(__pyx_k_item_scores), 0, 0, 1, 1}, + {&__pyx_n_s_item_sentiment, __pyx_k_item_sentiment, sizeof(__pyx_k_item_sentiment), 0, 0, 1, 1}, + {&__pyx_n_s_items, __pyx_k_items, sizeof(__pyx_k_items), 0, 0, 1, 1}, + {&__pyx_n_s_itemsize, __pyx_k_itemsize, sizeof(__pyx_k_itemsize), 0, 0, 1, 1}, + {&__pyx_kp_s_itemsize_0_for_cython_array, __pyx_k_itemsize_0_for_cython_array, sizeof(__pyx_k_itemsize_0_for_cython_array), 0, 0, 1, 0}, + {&__pyx_kp_u_iter, __pyx_k_iter, sizeof(__pyx_k_iter), 0, 1, 0, 0}, + {&__pyx_n_s_itertools, __pyx_k_itertools, sizeof(__pyx_k_itertools), 0, 0, 1, 1}, + {&__pyx_n_s_j, __pyx_k_j, sizeof(__pyx_k_j), 0, 0, 1, 1}, + {&__pyx_n_s_k, __pyx_k_k, sizeof(__pyx_k_k), 0, 0, 1, 1}, + {&__pyx_n_s_keys, __pyx_k_keys, sizeof(__pyx_k_keys), 0, 0, 1, 1}, + {&__pyx_n_s_kind, __pyx_k_kind, sizeof(__pyx_k_kind), 0, 0, 1, 1}, + {&__pyx_n_s_kwargs, __pyx_k_kwargs, sizeof(__pyx_k_kwargs), 0, 0, 1, 1}, + {&__pyx_n_s_lambda_d, __pyx_k_lambda_d, sizeof(__pyx_k_lambda_d), 0, 0, 1, 1}, + {&__pyx_n_s_lambda_h, __pyx_k_lambda_h, sizeof(__pyx_k_lambda_h), 0, 0, 1, 1}, + {&__pyx_n_s_lambda_u, __pyx_k_lambda_u, sizeof(__pyx_k_lambda_u), 0, 0, 1, 1}, + {&__pyx_n_s_lambda_v, __pyx_k_lambda_v, sizeof(__pyx_k_lambda_v), 0, 0, 1, 1}, + {&__pyx_n_s_lambda_x, __pyx_k_lambda_x, sizeof(__pyx_k_lambda_x), 0, 0, 1, 1}, + {&__pyx_n_s_lambda_y, __pyx_k_lambda_y, sizeof(__pyx_k_lambda_y), 0, 0, 1, 1}, + {&__pyx_n_s_later_indices, __pyx_k_later_indices, sizeof(__pyx_k_later_indices), 0, 0, 1, 1}, + {&__pyx_n_s_later_item_idx, __pyx_k_later_item_idx, sizeof(__pyx_k_later_item_idx), 0, 0, 1, 1}, + {&__pyx_n_s_long, __pyx_k_long, sizeof(__pyx_k_long), 0, 0, 1, 1}, + {&__pyx_kp_u_loss, __pyx_k_loss, sizeof(__pyx_k_loss), 0, 1, 0, 0}, + {&__pyx_kp_u_loss_2, __pyx_k_loss_2, sizeof(__pyx_k_loss_2), 0, 1, 0, 0}, + {&__pyx_n_s_loss_3, __pyx_k_loss_3, sizeof(__pyx_k_loss_3), 0, 0, 1, 1}, + {&__pyx_n_s_main, __pyx_k_main, sizeof(__pyx_k_main), 0, 0, 1, 1}, + {&__pyx_n_s_map_aspect_id, __pyx_k_map_aspect_id, sizeof(__pyx_k_map_aspect_id), 0, 0, 1, 1}, + {&__pyx_n_s_map_iid, __pyx_k_map_iid, sizeof(__pyx_k_map_iid), 0, 0, 1, 1}, + {&__pyx_n_s_map_uid, __pyx_k_map_uid, sizeof(__pyx_k_map_uid), 0, 0, 1, 1}, + {&__pyx_n_s_max, __pyx_k_max, sizeof(__pyx_k_max), 0, 0, 1, 1}, + {&__pyx_kp_u_max_2, __pyx_k_max_2, sizeof(__pyx_k_max_2), 0, 1, 0, 0}, + {&__pyx_n_s_max_iter, __pyx_k_max_iter, sizeof(__pyx_k_max_iter), 0, 0, 1, 1}, + {&__pyx_n_s_max_pair_freq, __pyx_k_max_pair_freq, sizeof(__pyx_k_max_pair_freq), 0, 0, 1, 1}, + {&__pyx_n_s_mean, __pyx_k_mean, sizeof(__pyx_k_mean), 0, 0, 1, 1}, + {&__pyx_n_s_memview, __pyx_k_memview, sizeof(__pyx_k_memview), 0, 0, 1, 1}, + {&__pyx_n_s_metaclass, __pyx_k_metaclass, sizeof(__pyx_k_metaclass), 0, 0, 1, 1}, + {&__pyx_kp_u_min, __pyx_k_min, sizeof(__pyx_k_min), 0, 1, 0, 0}, + {&__pyx_n_s_min_2, __pyx_k_min_2, sizeof(__pyx_k_min_2), 0, 0, 1, 1}, + {&__pyx_n_s_min_common_freq, __pyx_k_min_common_freq, sizeof(__pyx_k_min_common_freq), 0, 0, 1, 1}, + {&__pyx_n_s_min_pair_freq, __pyx_k_min_pair_freq, sizeof(__pyx_k_min_pair_freq), 0, 0, 1, 1}, + {&__pyx_n_s_min_user_freq, __pyx_k_min_user_freq, sizeof(__pyx_k_min_user_freq), 0, 0, 1, 1}, + {&__pyx_n_s_mode, __pyx_k_mode, sizeof(__pyx_k_mode), 0, 0, 1, 1}, + {&__pyx_n_s_model_type, __pyx_k_model_type, sizeof(__pyx_k_model_type), 0, 0, 1, 1}, + {&__pyx_n_s_module, __pyx_k_module, sizeof(__pyx_k_module), 0, 0, 1, 1}, + {&__pyx_n_s_monitor_value, __pyx_k_monitor_value, sizeof(__pyx_k_monitor_value), 0, 0, 1, 1}, + {&__pyx_n_s_most_cared_X, __pyx_k_most_cared_X, sizeof(__pyx_k_most_cared_X), 0, 0, 1, 1}, + {&__pyx_n_s_most_cared_Y, __pyx_k_most_cared_Y, sizeof(__pyx_k_most_cared_Y), 0, 0, 1, 1}, + {&__pyx_n_s_most_cared_aspects_indices, __pyx_k_most_cared_aspects_indices, sizeof(__pyx_k_most_cared_aspects_indices), 0, 0, 1, 1}, + {&__pyx_n_s_most_common, __pyx_k_most_common, sizeof(__pyx_k_most_common), 0, 0, 1, 1}, + {&__pyx_n_s_multiprocessing, __pyx_k_multiprocessing, sizeof(__pyx_k_multiprocessing), 0, 0, 1, 1}, + {&__pyx_n_s_name, __pyx_k_name, sizeof(__pyx_k_name), 0, 0, 1, 1}, + {&__pyx_n_s_name_2, __pyx_k_name_2, sizeof(__pyx_k_name_2), 0, 0, 1, 1}, + {&__pyx_kp_u_ndarray_is_not_C_contiguous, __pyx_k_ndarray_is_not_C_contiguous, sizeof(__pyx_k_ndarray_is_not_C_contiguous), 0, 1, 0, 0}, + {&__pyx_kp_u_ndarray_is_not_Fortran_contiguou, __pyx_k_ndarray_is_not_Fortran_contiguou, sizeof(__pyx_k_ndarray_is_not_Fortran_contiguou), 0, 1, 0, 0}, + {&__pyx_n_s_ndim, __pyx_k_ndim, sizeof(__pyx_k_ndim), 0, 0, 1, 1}, + {&__pyx_n_s_new, __pyx_k_new, sizeof(__pyx_k_new), 0, 0, 1, 1}, + {&__pyx_kp_s_no_default___reduce___due_to_non, __pyx_k_no_default___reduce___due_to_non, sizeof(__pyx_k_no_default___reduce___due_to_non), 0, 0, 1, 0}, + {&__pyx_kp_u_not_dominated_pairs, __pyx_k_not_dominated_pairs, sizeof(__pyx_k_not_dominated_pairs), 0, 1, 0, 0}, + {&__pyx_n_s_not_dominated_pairs_2, __pyx_k_not_dominated_pairs_2, sizeof(__pyx_k_not_dominated_pairs_2), 0, 0, 1, 1}, + {&__pyx_n_s_np, __pyx_k_np, sizeof(__pyx_k_np), 0, 0, 1, 1}, + {&__pyx_n_s_num_aspects, __pyx_k_num_aspects, sizeof(__pyx_k_num_aspects), 0, 0, 1, 1}, + {&__pyx_n_s_num_explicit_factors, __pyx_k_num_explicit_factors, sizeof(__pyx_k_num_explicit_factors), 0, 0, 1, 1}, + {&__pyx_n_s_num_factors, __pyx_k_num_factors, sizeof(__pyx_k_num_factors), 0, 0, 1, 1}, + {&__pyx_n_s_num_items, __pyx_k_num_items, sizeof(__pyx_k_num_items), 0, 0, 1, 1}, + {&__pyx_n_s_num_latent_factors, __pyx_k_num_latent_factors, sizeof(__pyx_k_num_latent_factors), 0, 0, 1, 1}, + {&__pyx_n_s_num_most_cared_aspects, __pyx_k_num_most_cared_aspects, sizeof(__pyx_k_num_most_cared_aspects), 0, 0, 1, 1}, + {&__pyx_n_s_num_threads, __pyx_k_num_threads, sizeof(__pyx_k_num_threads), 0, 0, 1, 1}, + {&__pyx_n_s_num_users, __pyx_k_num_users, sizeof(__pyx_k_num_users), 0, 0, 1, 1}, + {&__pyx_n_s_numpy, __pyx_k_numpy, sizeof(__pyx_k_numpy), 0, 0, 1, 1}, + {&__pyx_kp_u_numpy_core_multiarray_failed_to, __pyx_k_numpy_core_multiarray_failed_to, sizeof(__pyx_k_numpy_core_multiarray_failed_to), 0, 1, 0, 0}, + {&__pyx_kp_u_numpy_core_umath_failed_to_impor, __pyx_k_numpy_core_umath_failed_to_impor, sizeof(__pyx_k_numpy_core_umath_failed_to_impor), 0, 1, 0, 0}, + {&__pyx_n_s_obj, __pyx_k_obj, sizeof(__pyx_k_obj), 0, 0, 1, 1}, + {&__pyx_n_s_ones, __pyx_k_ones, sizeof(__pyx_k_ones), 0, 0, 1, 1}, + {&__pyx_n_s_pack, __pyx_k_pack, sizeof(__pyx_k_pack), 0, 0, 1, 1}, + {&__pyx_n_s_pair_counts, __pyx_k_pair_counts, sizeof(__pyx_k_pair_counts), 0, 0, 1, 1}, + {&__pyx_n_s_pair_freq, __pyx_k_pair_freq, sizeof(__pyx_k_pair_freq), 0, 0, 1, 1}, + {&__pyx_n_s_pickle, __pyx_k_pickle, sizeof(__pyx_k_pickle), 0, 0, 1, 1}, + {&__pyx_n_s_prediction, __pyx_k_prediction, sizeof(__pyx_k_prediction), 0, 0, 1, 1}, + {&__pyx_n_s_prepare, __pyx_k_prepare, sizeof(__pyx_k_prepare), 0, 0, 1, 1}, + {&__pyx_n_s_print, __pyx_k_print, sizeof(__pyx_k_print), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_PickleError, __pyx_k_pyx_PickleError, sizeof(__pyx_k_pyx_PickleError), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_checksum, __pyx_k_pyx_checksum, sizeof(__pyx_k_pyx_checksum), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_getbuffer, __pyx_k_pyx_getbuffer, sizeof(__pyx_k_pyx_getbuffer), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_result, __pyx_k_pyx_result, sizeof(__pyx_k_pyx_result), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_state, __pyx_k_pyx_state, sizeof(__pyx_k_pyx_state), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_type, __pyx_k_pyx_type, sizeof(__pyx_k_pyx_type), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_unpickle_Enum, __pyx_k_pyx_unpickle_Enum, sizeof(__pyx_k_pyx_unpickle_Enum), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_vtable, __pyx_k_pyx_vtable, sizeof(__pyx_k_pyx_vtable), 0, 0, 1, 1}, + {&__pyx_n_s_quality_scores, __pyx_k_quality_scores, sizeof(__pyx_k_quality_scores), 0, 0, 1, 1}, + {&__pyx_n_s_qualname, __pyx_k_qualname, sizeof(__pyx_k_qualname), 0, 0, 1, 1}, + {&__pyx_n_s_random_state, __pyx_k_random_state, sizeof(__pyx_k_random_state), 0, 0, 1, 1}, + {&__pyx_n_s_range, __pyx_k_range, sizeof(__pyx_k_range), 0, 0, 1, 1}, + {&__pyx_n_s_rank, __pyx_k_rank, sizeof(__pyx_k_rank), 0, 0, 1, 1}, + {&__pyx_n_s_rating, __pyx_k_rating, sizeof(__pyx_k_rating), 0, 0, 1, 1}, + {&__pyx_n_s_rating_matrix, __pyx_k_rating_matrix, sizeof(__pyx_k_rating_matrix), 0, 0, 1, 1}, + {&__pyx_n_s_rating_scale, __pyx_k_rating_scale, sizeof(__pyx_k_rating_scale), 0, 0, 1, 1}, + {&__pyx_n_s_ratings, __pyx_k_ratings, sizeof(__pyx_k_ratings), 0, 0, 1, 1}, + {&__pyx_n_s_recommender, __pyx_k_recommender, sizeof(__pyx_k_recommender), 0, 0, 1, 1}, + {&__pyx_n_s_reduce, __pyx_k_reduce, sizeof(__pyx_k_reduce), 0, 0, 1, 1}, + {&__pyx_n_s_reduce_cython, __pyx_k_reduce_cython, sizeof(__pyx_k_reduce_cython), 0, 0, 1, 1}, + {&__pyx_n_s_reduce_ex, __pyx_k_reduce_ex, sizeof(__pyx_k_reduce_ex), 0, 0, 1, 1}, + {&__pyx_n_s_repeat, __pyx_k_repeat, sizeof(__pyx_k_repeat), 0, 0, 1, 1}, + {&__pyx_n_s_rng, __pyx_k_rng, sizeof(__pyx_k_rng), 0, 0, 1, 1}, + {&__pyx_n_s_s, __pyx_k_s, sizeof(__pyx_k_s), 0, 0, 1, 1}, + {&__pyx_n_s_scipy_sparse, __pyx_k_scipy_sparse, sizeof(__pyx_k_scipy_sparse), 0, 0, 1, 1}, + {&__pyx_n_s_score, __pyx_k_score, sizeof(__pyx_k_score), 0, 0, 1, 1}, + {&__pyx_n_s_score_i, __pyx_k_score_i, sizeof(__pyx_k_score_i), 0, 0, 1, 1}, + {&__pyx_n_s_score_j, __pyx_k_score_j, sizeof(__pyx_k_score_j), 0, 0, 1, 1}, + {&__pyx_n_s_seed, __pyx_k_seed, sizeof(__pyx_k_seed), 0, 0, 1, 1}, + {&__pyx_n_s_self, __pyx_k_self, sizeof(__pyx_k_self), 0, 0, 1, 1}, + {&__pyx_n_s_sentiment, __pyx_k_sentiment, sizeof(__pyx_k_sentiment), 0, 0, 1, 1}, + {&__pyx_n_s_sentiment_polarity, __pyx_k_sentiment_polarity, sizeof(__pyx_k_sentiment_polarity), 0, 0, 1, 1}, + {&__pyx_n_s_sentiment_tup_ids_by_item, __pyx_k_sentiment_tup_ids_by_item, sizeof(__pyx_k_sentiment_tup_ids_by_item), 0, 0, 1, 1}, + {&__pyx_n_s_sentiment_tup_ids_by_user, __pyx_k_sentiment_tup_ids_by_user, sizeof(__pyx_k_sentiment_tup_ids_by_user), 0, 0, 1, 1}, + {&__pyx_n_s_setstate, __pyx_k_setstate, sizeof(__pyx_k_setstate), 0, 0, 1, 1}, + {&__pyx_n_s_setstate_cython, __pyx_k_setstate_cython, sizeof(__pyx_k_setstate_cython), 0, 0, 1, 1}, + {&__pyx_n_s_shape, __pyx_k_shape, sizeof(__pyx_k_shape), 0, 0, 1, 1}, + {&__pyx_n_s_short, __pyx_k_short, sizeof(__pyx_k_short), 0, 0, 1, 1}, + {&__pyx_n_s_signatures, __pyx_k_signatures, sizeof(__pyx_k_signatures), 0, 0, 1, 1}, + {&__pyx_n_s_size, __pyx_k_size, sizeof(__pyx_k_size), 0, 0, 1, 1}, + {&__pyx_n_s_sp, __pyx_k_sp, sizeof(__pyx_k_sp), 0, 0, 1, 1}, + {&__pyx_n_s_split, __pyx_k_split, sizeof(__pyx_k_split), 0, 0, 1, 1}, + {&__pyx_n_s_sqrt, __pyx_k_sqrt, sizeof(__pyx_k_sqrt), 0, 0, 1, 1}, + {&__pyx_n_s_start, __pyx_k_start, sizeof(__pyx_k_start), 0, 0, 1, 1}, + {&__pyx_n_s_start_time, __pyx_k_start_time, sizeof(__pyx_k_start_time), 0, 0, 1, 1}, + {&__pyx_n_s_step, __pyx_k_step, sizeof(__pyx_k_step), 0, 0, 1, 1}, + {&__pyx_n_s_stop, __pyx_k_stop, sizeof(__pyx_k_stop), 0, 0, 1, 1}, + {&__pyx_kp_s_strided_and_direct, __pyx_k_strided_and_direct, sizeof(__pyx_k_strided_and_direct), 0, 0, 1, 0}, + {&__pyx_kp_s_strided_and_direct_or_indirect, __pyx_k_strided_and_direct_or_indirect, sizeof(__pyx_k_strided_and_direct_or_indirect), 0, 0, 1, 0}, + {&__pyx_kp_s_strided_and_indirect, __pyx_k_strided_and_indirect, sizeof(__pyx_k_strided_and_indirect), 0, 0, 1, 0}, + {&__pyx_kp_s_stringsource, __pyx_k_stringsource, sizeof(__pyx_k_stringsource), 0, 0, 1, 0}, + {&__pyx_n_s_strip, __pyx_k_strip, sizeof(__pyx_k_strip), 0, 0, 1, 1}, + {&__pyx_n_s_struct, __pyx_k_struct, sizeof(__pyx_k_struct), 0, 0, 1, 1}, + {&__pyx_n_s_sub_item_ids, __pyx_k_sub_item_ids, sizeof(__pyx_k_sub_item_ids), 0, 0, 1, 1}, + {&__pyx_n_s_sum, __pyx_k_sum, sizeof(__pyx_k_sum), 0, 0, 1, 1}, + {&__pyx_n_s_t, __pyx_k_t, sizeof(__pyx_k_t), 0, 0, 1, 1}, + {&__pyx_n_s_t_count, __pyx_k_t_count, sizeof(__pyx_k_t_count), 0, 0, 1, 1}, + {&__pyx_n_s_test, __pyx_k_test, sizeof(__pyx_k_test), 0, 0, 1, 1}, + {&__pyx_n_s_time, __pyx_k_time, sizeof(__pyx_k_time), 0, 0, 1, 1}, + {&__pyx_n_s_tocsc, __pyx_k_tocsc, sizeof(__pyx_k_tocsc), 0, 0, 1, 1}, + {&__pyx_n_s_total_sentiment, __pyx_k_total_sentiment, sizeof(__pyx_k_total_sentiment), 0, 0, 1, 1}, + {&__pyx_n_s_total_sentiment_by_aspect, __pyx_k_total_sentiment_by_aspect, sizeof(__pyx_k_total_sentiment_by_aspect), 0, 0, 1, 1}, + {&__pyx_n_s_tqdm, __pyx_k_tqdm, sizeof(__pyx_k_tqdm), 0, 0, 1, 1}, + {&__pyx_n_s_train_set, __pyx_k_train_set, sizeof(__pyx_k_train_set), 0, 0, 1, 1}, + {&__pyx_n_s_trainable, __pyx_k_trainable, sizeof(__pyx_k_trainable), 0, 0, 1, 1}, + {&__pyx_n_s_tup, __pyx_k_tup, sizeof(__pyx_k_tup), 0, 0, 1, 1}, + {&__pyx_n_s_tup_id, __pyx_k_tup_id, sizeof(__pyx_k_tup_id), 0, 0, 1, 1}, + {&__pyx_n_s_uid, __pyx_k_uid, sizeof(__pyx_k_uid), 0, 0, 1, 1}, + {&__pyx_n_s_uir_iter, __pyx_k_uir_iter, sizeof(__pyx_k_uir_iter), 0, 0, 1, 1}, + {&__pyx_kp_s_unable_to_allocate_array_data, __pyx_k_unable_to_allocate_array_data, sizeof(__pyx_k_unable_to_allocate_array_data), 0, 0, 1, 0}, + {&__pyx_kp_s_unable_to_allocate_shape_and_str, __pyx_k_unable_to_allocate_shape_and_str, sizeof(__pyx_k_unable_to_allocate_shape_and_str), 0, 0, 1, 0}, + {&__pyx_n_s_uniform, __pyx_k_uniform, sizeof(__pyx_k_uniform), 0, 0, 1, 1}, + {&__pyx_kp_u_unique_earlier_later_pairs, __pyx_k_unique_earlier_later_pairs, sizeof(__pyx_k_unique_earlier_later_pairs), 0, 1, 0, 0}, + {&__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_k_unknown_dtype_code_in_numpy_pxd, sizeof(__pyx_k_unknown_dtype_code_in_numpy_pxd), 0, 1, 0, 0}, + {&__pyx_n_s_unpack, __pyx_k_unpack, sizeof(__pyx_k_unpack), 0, 0, 1, 1}, + {&__pyx_n_s_update, __pyx_k_update, sizeof(__pyx_k_update), 0, 0, 1, 1}, + {&__pyx_n_s_use_item_aspect_popularity, __pyx_k_use_item_aspect_popularity, sizeof(__pyx_k_use_item_aspect_popularity), 0, 0, 1, 1}, + {&__pyx_n_s_use_item_pair_popularity, __pyx_k_use_item_pair_popularity, sizeof(__pyx_k_use_item_pair_popularity), 0, 0, 1, 1}, + {&__pyx_n_s_user_aspect_count, __pyx_k_user_aspect_count, sizeof(__pyx_k_user_aspect_count), 0, 0, 1, 1}, + {&__pyx_n_s_user_aspects, __pyx_k_user_aspects, sizeof(__pyx_k_user_aspects), 0, 0, 1, 1}, + {&__pyx_n_s_user_id, __pyx_k_user_id, sizeof(__pyx_k_user_id), 0, 0, 1, 1}, + {&__pyx_n_s_user_sentiment, __pyx_k_user_sentiment, sizeof(__pyx_k_user_sentiment), 0, 0, 1, 1}, + {&__pyx_n_s_utils, __pyx_k_utils, sizeof(__pyx_k_utils), 0, 0, 1, 1}, + {&__pyx_n_s_utils_common, __pyx_k_utils_common, sizeof(__pyx_k_utils_common), 0, 0, 1, 1}, + {&__pyx_n_s_utils_init_utils, __pyx_k_utils_init_utils, sizeof(__pyx_k_utils_init_utils), 0, 0, 1, 1}, + {&__pyx_n_s_val_set, __pyx_k_val_set, sizeof(__pyx_k_val_set), 0, 0, 1, 1}, + {&__pyx_n_s_validate_model_type, __pyx_k_validate_model_type, sizeof(__pyx_k_validate_model_type), 0, 0, 1, 1}, + {&__pyx_n_s_values, __pyx_k_values, sizeof(__pyx_k_values), 0, 0, 1, 1}, + {&__pyx_n_s_verbose, __pyx_k_verbose, sizeof(__pyx_k_verbose), 0, 0, 1, 1}, + {&__pyx_n_s_window, __pyx_k_window, sizeof(__pyx_k_window), 0, 0, 1, 1}, + {&__pyx_n_s_z, __pyx_k_z, sizeof(__pyx_k_z), 0, 0, 1, 1}, + {0, 0, 0, 0, 0, 0, 0} +}; +static CYTHON_SMALL_CODE int __Pyx_InitCachedBuiltins(void) { + __pyx_builtin_ValueError = __Pyx_GetBuiltinName(__pyx_n_s_ValueError); if (!__pyx_builtin_ValueError) __PYX_ERR(0, 186, __pyx_L1_error) + __pyx_builtin_TypeError = __Pyx_GetBuiltinName(__pyx_n_s_TypeError); if (!__pyx_builtin_TypeError) __PYX_ERR(0, 261, __pyx_L1_error) + __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_range) __PYX_ERR(0, 261, __pyx_L1_error) + __pyx_builtin_print = __Pyx_GetBuiltinName(__pyx_n_s_print); if (!__pyx_builtin_print) __PYX_ERR(0, 421, __pyx_L1_error) + __pyx_builtin_sum = __Pyx_GetBuiltinName(__pyx_n_s_sum); if (!__pyx_builtin_sum) __PYX_ERR(0, 526, __pyx_L1_error) + __pyx_builtin_max = __Pyx_GetBuiltinName(__pyx_n_s_max); if (!__pyx_builtin_max) __PYX_ERR(0, 693, __pyx_L1_error) + __pyx_builtin_RuntimeError = __Pyx_GetBuiltinName(__pyx_n_s_RuntimeError); if (!__pyx_builtin_RuntimeError) __PYX_ERR(1, 855, __pyx_L1_error) + __pyx_builtin_ImportError = __Pyx_GetBuiltinName(__pyx_n_s_ImportError); if (!__pyx_builtin_ImportError) __PYX_ERR(1, 1037, __pyx_L1_error) + __pyx_builtin_MemoryError = __Pyx_GetBuiltinName(__pyx_n_s_MemoryError); if (!__pyx_builtin_MemoryError) __PYX_ERR(2, 148, __pyx_L1_error) + __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s_enumerate); if (!__pyx_builtin_enumerate) __PYX_ERR(2, 151, __pyx_L1_error) + __pyx_builtin_Ellipsis = __Pyx_GetBuiltinName(__pyx_n_s_Ellipsis); if (!__pyx_builtin_Ellipsis) __PYX_ERR(2, 404, __pyx_L1_error) + __pyx_builtin_id = __Pyx_GetBuiltinName(__pyx_n_s_id); if (!__pyx_builtin_id) __PYX_ERR(2, 613, __pyx_L1_error) + __pyx_builtin_IndexError = __Pyx_GetBuiltinName(__pyx_n_s_IndexError); if (!__pyx_builtin_IndexError) __PYX_ERR(2, 832, __pyx_L1_error) + return 0; + __pyx_L1_error:; + return -1; +} + +static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":261 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_efm(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, integral[:] A_user_counts, integral[:] A_item_counts, + * floating[:] X, integral[:] X_uids, integral[:] X_aids, integral[:] X_user_counts, integral[:] X_aspect_counts, + */ + __pyx_tuple__3 = PyTuple_Pack(1, __pyx_kp_s_No_matching_signature_found); if (unlikely(!__pyx_tuple__3)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__3); + __Pyx_GIVEREF(__pyx_tuple__3); + __pyx_tuple__4 = PyTuple_Pack(1, __pyx_kp_s_Function_call_with_ambiguous_arg); if (unlikely(!__pyx_tuple__4)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__4); + __Pyx_GIVEREF(__pyx_tuple__4); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":427 + * + * if self.verbose: + * print('Optimization finished!') # <<<<<<<<<<<<<< + * + * @cython.boundscheck(False) + */ + __pyx_tuple__5 = PyTuple_Pack(1, __pyx_kp_u_Optimization_finished); if (unlikely(!__pyx_tuple__5)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__5); + __Pyx_GIVEREF(__pyx_tuple__5); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":604 + * + * if self.verbose: + * print('Building matrices completed!') # <<<<<<<<<<<<<< + * + * return A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts + */ + __pyx_tuple__8 = PyTuple_Pack(1, __pyx_kp_u_Building_matrices_completed); if (unlikely(!__pyx_tuple__8)) __PYX_ERR(0, 604, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__8); + __Pyx_GIVEREF(__pyx_tuple__8); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":656 + * if self.train_set.is_unk_user(user_id): + * raise ScoreException("Can't make score prediction for (user_id=%d" & user_id) + * item_scores = self.U2.dot(self.U1[user_id, :]) + self.H2.dot(self.H1[user_id, :]) # <<<<<<<<<<<<<< + * return item_scores + * else: + */ + __pyx_slice__9 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__9)) __PYX_ERR(0, 656, __pyx_L1_error) + __Pyx_GOTREF(__pyx_slice__9); + __Pyx_GIVEREF(__pyx_slice__9); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":691 + * if item_ids is None: + * item_scores = item_scores + * item_rank = item_scores.argsort()[::-1] # <<<<<<<<<<<<<< + * else: + * num_items = max(self.train_set.num_items, max(item_ids) + 1) + */ + __pyx_slice__10 = PySlice_New(Py_None, Py_None, __pyx_int_neg_1); if (unlikely(!__pyx_slice__10)) __PYX_ERR(0, 691, __pyx_L1_error) + __Pyx_GOTREF(__pyx_slice__10); + __Pyx_GIVEREF(__pyx_slice__10); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":272 + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): + * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< + * + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) + */ + __pyx_tuple__11 = PyTuple_Pack(1, __pyx_kp_u_ndarray_is_not_C_contiguous); if (unlikely(!__pyx_tuple__11)) __PYX_ERR(1, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__11); + __Pyx_GIVEREF(__pyx_tuple__11); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":276 + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): + * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< + * + * info.buf = PyArray_DATA(self) + */ + __pyx_tuple__12 = PyTuple_Pack(1, __pyx_kp_u_ndarray_is_not_Fortran_contiguou); if (unlikely(!__pyx_tuple__12)) __PYX_ERR(1, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__12); + __Pyx_GIVEREF(__pyx_tuple__12); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":306 + * if ((descr.byteorder == c'>' and little_endian) or + * (descr.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< + * if t == NPY_BYTE: f = "b" + * elif t == NPY_UBYTE: f = "B" + */ + __pyx_tuple__13 = PyTuple_Pack(1, __pyx_kp_u_Non_native_byte_order_not_suppor); if (unlikely(!__pyx_tuple__13)) __PYX_ERR(1, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__13); + __Pyx_GIVEREF(__pyx_tuple__13); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":855 + * + * if (end - f) - (new_offset - offset[0]) < 15: + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< + * + * if ((child.byteorder == c'>' and little_endian) or + */ + __pyx_tuple__14 = PyTuple_Pack(1, __pyx_kp_u_Format_string_allocated_too_shor); if (unlikely(!__pyx_tuple__14)) __PYX_ERR(1, 855, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__14); + __Pyx_GIVEREF(__pyx_tuple__14); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":879 + * t = child.type_num + * if end - f < 5: + * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< + * + * # Until ticket #99 is fixed, use integers to avoid warnings + */ + __pyx_tuple__15 = PyTuple_Pack(1, __pyx_kp_u_Format_string_allocated_too_shor_2); if (unlikely(!__pyx_tuple__15)) __PYX_ERR(1, 879, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__15); + __Pyx_GIVEREF(__pyx_tuple__15); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + * _import_array() + * except Exception: + * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< + * + * cdef inline int import_umath() except -1: + */ + __pyx_tuple__16 = PyTuple_Pack(1, __pyx_kp_u_numpy_core_multiarray_failed_to); if (unlikely(!__pyx_tuple__16)) __PYX_ERR(1, 1037, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__16); + __Pyx_GIVEREF(__pyx_tuple__16); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1043 + * _import_umath() + * except Exception: + * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< + * + * cdef inline int import_ufunc() except -1: + */ + __pyx_tuple__17 = PyTuple_Pack(1, __pyx_kp_u_numpy_core_umath_failed_to_impor); if (unlikely(!__pyx_tuple__17)) __PYX_ERR(1, 1043, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__17); + __Pyx_GIVEREF(__pyx_tuple__17); + + /* "View.MemoryView":133 + * + * if not self.ndim: + * raise ValueError("Empty shape tuple for cython.array") # <<<<<<<<<<<<<< + * + * if itemsize <= 0: + */ + __pyx_tuple__18 = PyTuple_Pack(1, __pyx_kp_s_Empty_shape_tuple_for_cython_arr); if (unlikely(!__pyx_tuple__18)) __PYX_ERR(2, 133, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__18); + __Pyx_GIVEREF(__pyx_tuple__18); + + /* "View.MemoryView":136 + * + * if itemsize <= 0: + * raise ValueError("itemsize <= 0 for cython.array") # <<<<<<<<<<<<<< + * + * if not isinstance(format, bytes): + */ + __pyx_tuple__19 = PyTuple_Pack(1, __pyx_kp_s_itemsize_0_for_cython_array); if (unlikely(!__pyx_tuple__19)) __PYX_ERR(2, 136, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__19); + __Pyx_GIVEREF(__pyx_tuple__19); + + /* "View.MemoryView":148 + * + * if not self._shape: + * raise MemoryError("unable to allocate shape and strides.") # <<<<<<<<<<<<<< + * + * + */ + __pyx_tuple__20 = PyTuple_Pack(1, __pyx_kp_s_unable_to_allocate_shape_and_str); if (unlikely(!__pyx_tuple__20)) __PYX_ERR(2, 148, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__20); + __Pyx_GIVEREF(__pyx_tuple__20); + + /* "View.MemoryView":176 + * self.data = malloc(self.len) + * if not self.data: + * raise MemoryError("unable to allocate array data.") # <<<<<<<<<<<<<< + * + * if self.dtype_is_object: + */ + __pyx_tuple__21 = PyTuple_Pack(1, __pyx_kp_s_unable_to_allocate_array_data); if (unlikely(!__pyx_tuple__21)) __PYX_ERR(2, 176, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__21); + __Pyx_GIVEREF(__pyx_tuple__21); + + /* "View.MemoryView":192 + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * if not (flags & bufmode): + * raise ValueError("Can only create a buffer that is contiguous in memory.") # <<<<<<<<<<<<<< + * info.buf = self.data + * info.len = self.len + */ + __pyx_tuple__22 = PyTuple_Pack(1, __pyx_kp_s_Can_only_create_a_buffer_that_is); if (unlikely(!__pyx_tuple__22)) __PYX_ERR(2, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__22); + __Pyx_GIVEREF(__pyx_tuple__22); + + /* "(tree fragment)":2 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + __pyx_tuple__23 = PyTuple_Pack(1, __pyx_kp_s_no_default___reduce___due_to_non); if (unlikely(!__pyx_tuple__23)) __PYX_ERR(2, 2, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__23); + __Pyx_GIVEREF(__pyx_tuple__23); + + /* "(tree fragment)":4 + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + */ + __pyx_tuple__24 = PyTuple_Pack(1, __pyx_kp_s_no_default___reduce___due_to_non); if (unlikely(!__pyx_tuple__24)) __PYX_ERR(2, 4, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__24); + __Pyx_GIVEREF(__pyx_tuple__24); + + /* "View.MemoryView":418 + * def __setitem__(memoryview self, object index, object value): + * if self.view.readonly: + * raise TypeError("Cannot assign to read-only memoryview") # <<<<<<<<<<<<<< + * + * have_slices, index = _unellipsify(index, self.view.ndim) + */ + __pyx_tuple__25 = PyTuple_Pack(1, __pyx_kp_s_Cannot_assign_to_read_only_memor); if (unlikely(!__pyx_tuple__25)) __PYX_ERR(2, 418, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__25); + __Pyx_GIVEREF(__pyx_tuple__25); + + /* "View.MemoryView":495 + * result = struct.unpack(self.view.format, bytesitem) + * except struct.error: + * raise ValueError("Unable to convert item to object") # <<<<<<<<<<<<<< + * else: + * if len(self.view.format) == 1: + */ + __pyx_tuple__26 = PyTuple_Pack(1, __pyx_kp_s_Unable_to_convert_item_to_object); if (unlikely(!__pyx_tuple__26)) __PYX_ERR(2, 495, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__26); + __Pyx_GIVEREF(__pyx_tuple__26); + + /* "View.MemoryView":520 + * def __getbuffer__(self, Py_buffer *info, int flags): + * if flags & PyBUF_WRITABLE and self.view.readonly: + * raise ValueError("Cannot create writable memory view from read-only memoryview") # <<<<<<<<<<<<<< + * + * if flags & PyBUF_ND: + */ + __pyx_tuple__27 = PyTuple_Pack(1, __pyx_kp_s_Cannot_create_writable_memory_vi); if (unlikely(!__pyx_tuple__27)) __PYX_ERR(2, 520, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__27); + __Pyx_GIVEREF(__pyx_tuple__27); + + /* "View.MemoryView":570 + * if self.view.strides == NULL: + * + * raise ValueError("Buffer view does not expose strides") # <<<<<<<<<<<<<< + * + * return tuple([stride for stride in self.view.strides[:self.view.ndim]]) + */ + __pyx_tuple__28 = PyTuple_Pack(1, __pyx_kp_s_Buffer_view_does_not_expose_stri); if (unlikely(!__pyx_tuple__28)) __PYX_ERR(2, 570, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__28); + __Pyx_GIVEREF(__pyx_tuple__28); + + /* "View.MemoryView":577 + * def suboffsets(self): + * if self.view.suboffsets == NULL: + * return (-1,) * self.view.ndim # <<<<<<<<<<<<<< + * + * return tuple([suboffset for suboffset in self.view.suboffsets[:self.view.ndim]]) + */ + __pyx_tuple__29 = PyTuple_New(1); if (unlikely(!__pyx_tuple__29)) __PYX_ERR(2, 577, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__29); + __Pyx_INCREF(__pyx_int_neg_1); + __Pyx_GIVEREF(__pyx_int_neg_1); + PyTuple_SET_ITEM(__pyx_tuple__29, 0, __pyx_int_neg_1); + __Pyx_GIVEREF(__pyx_tuple__29); + + /* "(tree fragment)":2 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + __pyx_tuple__30 = PyTuple_Pack(1, __pyx_kp_s_no_default___reduce___due_to_non); if (unlikely(!__pyx_tuple__30)) __PYX_ERR(2, 2, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__30); + __Pyx_GIVEREF(__pyx_tuple__30); + + /* "(tree fragment)":4 + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + */ + __pyx_tuple__31 = PyTuple_Pack(1, __pyx_kp_s_no_default___reduce___due_to_non); if (unlikely(!__pyx_tuple__31)) __PYX_ERR(2, 4, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__31); + __Pyx_GIVEREF(__pyx_tuple__31); + + /* "View.MemoryView":703 + * for suboffset in suboffsets[:ndim]: + * if suboffset >= 0: + * raise ValueError("Indirect dimensions not supported") # <<<<<<<<<<<<<< + * + * + */ + __pyx_tuple__32 = PyTuple_Pack(1, __pyx_kp_s_Indirect_dimensions_not_supporte); if (unlikely(!__pyx_tuple__32)) __PYX_ERR(2, 703, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__32); + __Pyx_GIVEREF(__pyx_tuple__32); + + /* "(tree fragment)":2 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + __pyx_tuple__33 = PyTuple_Pack(1, __pyx_kp_s_no_default___reduce___due_to_non); if (unlikely(!__pyx_tuple__33)) __PYX_ERR(2, 2, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__33); + __Pyx_GIVEREF(__pyx_tuple__33); + + /* "(tree fragment)":4 + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + */ + __pyx_tuple__34 = PyTuple_Pack(1, __pyx_kp_s_no_default___reduce___due_to_non); if (unlikely(!__pyx_tuple__34)) __PYX_ERR(2, 4, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__34); + __Pyx_GIVEREF(__pyx_tuple__34); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":136 + * """ + * + * def __init__(self, name="ComparERObj", # <<<<<<<<<<<<<< + * model_type="Finer", + * num_explicit_factors=128, num_latent_factors=128, num_most_cared_aspects=100, + */ + __pyx_tuple__36 = PyTuple_Pack(29, __pyx_n_s_self, __pyx_n_s_name, __pyx_n_s_model_type, __pyx_n_s_num_explicit_factors, __pyx_n_s_num_latent_factors, __pyx_n_s_num_most_cared_aspects, __pyx_n_s_rating_scale, __pyx_n_s_alpha, __pyx_n_s_lambda_x, __pyx_n_s_lambda_y, __pyx_n_s_lambda_u, __pyx_n_s_lambda_h, __pyx_n_s_lambda_v, __pyx_n_s_lambda_d, __pyx_n_s_use_item_aspect_popularity, __pyx_n_s_min_user_freq, __pyx_n_s_min_pair_freq, __pyx_n_s_max_pair_freq, __pyx_n_s_min_common_freq, __pyx_n_s_enum_window, __pyx_n_s_use_item_pair_popularity, __pyx_n_s_max_iter, __pyx_n_s_num_threads, __pyx_n_s_early_stopping, __pyx_n_s_trainable, __pyx_n_s_verbose, __pyx_n_s_init_params, __pyx_n_s_seed, __pyx_n_s_multiprocessing); if (unlikely(!__pyx_tuple__36)) __PYX_ERR(0, 136, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__36); + __Pyx_GIVEREF(__pyx_tuple__36); + __pyx_codeobj__37 = (PyObject*)__Pyx_PyCode_New(28, 0, 29, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__36, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_init, 136, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__37)) __PYX_ERR(0, 136, __pyx_L1_error) + __pyx_tuple__38 = PyTuple_Pack(27, ((PyObject*)__pyx_n_u_ComparERObj), ((PyObject*)__pyx_n_u_Finer), ((PyObject *)__pyx_int_128), ((PyObject *)__pyx_int_128), ((PyObject *)__pyx_int_100), ((PyObject*)__pyx_float_5_0), ((PyObject*)__pyx_float_0_9), ((PyObject *)__pyx_int_1), ((PyObject *)__pyx_int_1), ((PyObject*)__pyx_float_0_01), ((PyObject*)__pyx_float_0_01), ((PyObject*)__pyx_float_0_01), ((PyObject*)__pyx_float_0_01), ((PyObject *)Py_True), ((PyObject *)__pyx_int_2), ((PyObject *)__pyx_int_1), ((PyObject*)__pyx_float_1e9), ((PyObject *)__pyx_int_1), ((PyObject *)Py_None), ((PyObject *)Py_True), ((PyObject *)__pyx_int_1000), ((PyObject *)__pyx_int_0), ((PyObject *)Py_None), ((PyObject *)Py_True), ((PyObject *)Py_False), ((PyObject *)Py_None), ((PyObject *)Py_None)); if (unlikely(!__pyx_tuple__38)) __PYX_ERR(0, 136, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__38); + __Pyx_GIVEREF(__pyx_tuple__38); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":184 + * self.num_threads = multiprocessing.cpu_count() + * + * def _validate_model_type(self, model_type): # <<<<<<<<<<<<<< + * if model_type not in MODEL_TYPES: + * raise ValueError('Invalid model type: {}\n' + */ + __pyx_tuple__39 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_model_type); if (unlikely(!__pyx_tuple__39)) __PYX_ERR(0, 184, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__39); + __Pyx_GIVEREF(__pyx_tuple__39); + __pyx_codeobj__40 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__39, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_validate_model_type, 184, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__40)) __PYX_ERR(0, 184, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":190 + * return MODEL_TYPES[model_type] + * + * def fit(self, train_set, val_set=None): # <<<<<<<<<<<<<< + * """Fit the model to observations. + * + */ + __pyx_tuple__41 = PyTuple_Pack(19, __pyx_n_s_self, __pyx_n_s_train_set, __pyx_n_s_val_set, __pyx_n_s_A, __pyx_n_s_X, __pyx_n_s_Y, __pyx_n_s_earlier_indices, __pyx_n_s_later_indices, __pyx_n_s_aspect_indices, __pyx_n_s_pair_counts, __pyx_n_s_A_user_counts, __pyx_n_s_A_item_counts, __pyx_n_s_A_uids, __pyx_n_s_X_user_counts, __pyx_n_s_X_aspect_counts, __pyx_n_s_X_uids, __pyx_n_s_Y_item_counts, __pyx_n_s_Y_aspect_counts, __pyx_n_s_Y_iids); if (unlikely(!__pyx_tuple__41)) __PYX_ERR(0, 190, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__41); + __Pyx_GIVEREF(__pyx_tuple__41); + __pyx_codeobj__42 = (PyObject*)__Pyx_PyCode_New(3, 0, 19, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__41, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_fit, 190, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__42)) __PYX_ERR(0, 190, __pyx_L1_error) + __pyx_tuple__43 = PyTuple_Pack(1, ((PyObject *)Py_None)); if (unlikely(!__pyx_tuple__43)) __PYX_ERR(0, 190, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__43); + __Pyx_GIVEREF(__pyx_tuple__43); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":230 + * self.U1, self.U2, self.V, self.H1, self.H2) + * + * def _init_params(self): # <<<<<<<<<<<<<< + * from ...utils import get_rng + * from ...utils.init_utils import uniform + */ + __pyx_tuple__44 = PyTuple_Pack(6, __pyx_n_s_self, __pyx_n_s_get_rng, __pyx_n_s_uniform, __pyx_n_s_rng, __pyx_n_s_num_factors, __pyx_n_s_high); if (unlikely(!__pyx_tuple__44)) __PYX_ERR(0, 230, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__44); + __Pyx_GIVEREF(__pyx_tuple__44); + __pyx_codeobj__45 = (PyObject*)__Pyx_PyCode_New(1, 0, 6, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__44, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_init_params_2, 230, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__45)) __PYX_ERR(0, 230, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":248 + * high=high, random_state=rng)) + * + * def get_params(self): # <<<<<<<<<<<<<< + * """Get model parameters in the form of dictionary including matrices: U1, U2, V, H1, H2 + * """ + */ + __pyx_tuple__46 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__46)) __PYX_ERR(0, 248, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__46); + __Pyx_GIVEREF(__pyx_tuple__46); + __pyx_codeobj__47 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__46, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_get_params, 248, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__47)) __PYX_ERR(0, 248, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":261 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_efm(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, integral[:] A_user_counts, integral[:] A_item_counts, + * floating[:] X, integral[:] X_uids, integral[:] X_aids, integral[:] X_user_counts, integral[:] X_aspect_counts, + */ + __pyx_tuple__48 = PyTuple_Pack(72, __pyx_n_s_self, __pyx_n_s_num_threads, __pyx_n_s_A, __pyx_n_s_A_uids, __pyx_n_s_A_iids, __pyx_n_s_A_user_counts, __pyx_n_s_A_item_counts, __pyx_n_s_X, __pyx_n_s_X_uids, __pyx_n_s_X_aids, __pyx_n_s_X_user_counts, __pyx_n_s_X_aspect_counts, __pyx_n_s_Y, __pyx_n_s_Y_iids, __pyx_n_s_Y_aids, __pyx_n_s_Y_item_counts, __pyx_n_s_Y_aspect_counts, __pyx_n_s_earlier_indices, __pyx_n_s_later_indices, __pyx_n_s_aspect_indices, __pyx_n_s_pair_counts, __pyx_n_s_U1, __pyx_n_s_U2, __pyx_n_s_V, __pyx_n_s_H1, __pyx_n_s_H2, __pyx_n_s_model_type, __pyx_n_s_FINER_MODEL, __pyx_n_s_DOM_MODEL, __pyx_n_s_AROUND_MODEL, __pyx_n_s_num_users, __pyx_n_s_num_items, __pyx_n_s_num_aspects, __pyx_n_s_num_explicit_factors, __pyx_n_s_num_latent_factors, __pyx_n_s_min_pair_freq, __pyx_n_s_max_pair_freq, __pyx_n_s_use_item_pair_popularity, __pyx_n_s_lambda_x, __pyx_n_s_lambda_y, __pyx_n_s_lambda_u, __pyx_n_s_lambda_h, __pyx_n_s_lambda_v, __pyx_n_s_lambda_d, __pyx_n_s_prediction, __pyx_n_s_score, __pyx_n_s_score_i, __pyx_n_s_score_j, __pyx_n_s_loss_3, __pyx_n_s_aspect_bpr_loss_2, __pyx_n_s_diff, __pyx_n_s_grad, __pyx_n_s_z, __pyx_n_s_eps, __pyx_n_s_t_count, __pyx_n_s_correct_2, __pyx_n_s_i, __pyx_n_s_j, __pyx_n_s_k, __pyx_n_s_f, __pyx_n_s_idx, __pyx_n_s_t, __pyx_n_s_U1_numerator, __pyx_n_s_U1_denominator, __pyx_n_s_U2_numerator, __pyx_n_s_U2_denominator, __pyx_n_s_V_numerator, __pyx_n_s_V_denominator, __pyx_n_s_H1_numerator, __pyx_n_s_H1_denominator, __pyx_n_s_H2_numerator, __pyx_n_s_H2_denominator); if (unlikely(!__pyx_tuple__48)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__48); + __Pyx_GIVEREF(__pyx_tuple__48); + __pyx_codeobj__49 = (PyObject*)__Pyx_PyCode_New(26, 0, 72, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__48, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_fit_efm, 261, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__49)) __PYX_ERR(0, 261, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":431 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _get_loss(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + */ + __pyx_tuple__50 = PyTuple_Pack(18, __pyx_n_s_self, __pyx_n_s_num_threads, __pyx_n_s_A, __pyx_n_s_A_uids, __pyx_n_s_A_iids, __pyx_n_s_U1, __pyx_n_s_U2, __pyx_n_s_V, __pyx_n_s_H1, __pyx_n_s_H2, __pyx_n_s_num_explicit_factors, __pyx_n_s_num_latent_factors, __pyx_n_s_prediction, __pyx_n_s_score, __pyx_n_s_loss_3, __pyx_n_s_i, __pyx_n_s_j, __pyx_n_s_idx); if (unlikely(!__pyx_tuple__50)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__50); + __Pyx_GIVEREF(__pyx_tuple__50); + __pyx_codeobj__51 = (PyObject*)__Pyx_PyCode_New(10, 0, 18, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__50, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_get_loss, 431, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__51)) __PYX_ERR(0, 431, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":455 + * return loss + * + * def _build_rating_matrix(self, data_set): # <<<<<<<<<<<<<< + * start_time = time() + * ratings = [] + */ + __pyx_tuple__52 = PyTuple_Pack(10, __pyx_n_s_self, __pyx_n_s_data_set, __pyx_n_s_start_time, __pyx_n_s_ratings, __pyx_n_s_map_uid, __pyx_n_s_map_iid, __pyx_n_s_uid, __pyx_n_s_iid, __pyx_n_s_rating, __pyx_n_s_rating_matrix); if (unlikely(!__pyx_tuple__52)) __PYX_ERR(0, 455, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__52); + __Pyx_GIVEREF(__pyx_tuple__52); + __pyx_codeobj__53 = (PyObject*)__Pyx_PyCode_New(2, 0, 10, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__52, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_build_rating_matrix, 455, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__53)) __PYX_ERR(0, 455, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":479 + * return rating_matrix + * + * def _build_chrono_purchased_pairs(self, data_set, Y): # <<<<<<<<<<<<<< + * start_time = time() + * from tqdm import tqdm + */ + __pyx_tuple__55 = PyTuple_Pack(23, __pyx_n_s_self, __pyx_n_s_data_set, __pyx_n_s_Y, __pyx_n_s_start_time, __pyx_n_s_tqdm, __pyx_n_s_chrono_purchased_pairs, __pyx_n_s_item_ids, __pyx_n_s__54, __pyx_n_s_window, __pyx_n_s_sub_item_ids, __pyx_n_s_earlier_item_idx, __pyx_n_s_later_item_idx, __pyx_n_s_pair_counts, __pyx_n_s_not_dominated_pairs_2, __pyx_n_s_common_aspect_counts, __pyx_n_s_count, __pyx_n_s_k, __pyx_n_s_earlier_indices, __pyx_n_s_later_indices, __pyx_n_s_aspect_indices, __pyx_n_s_pair_freq, __pyx_n_s_aspect_idx, __pyx_n_s_i); if (unlikely(!__pyx_tuple__55)) __PYX_ERR(0, 479, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__55); + __Pyx_GIVEREF(__pyx_tuple__55); + __pyx_codeobj__56 = (PyObject*)__Pyx_PyCode_New(3, 0, 23, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__55, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_build_chrono_purchased_pairs, 479, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__56)) __PYX_ERR(0, 479, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":534 + * return earlier_indices, later_indices, aspect_indices, pair_freq + * + * def _build_user_attention_matrix(self, data_set, sentiment): # <<<<<<<<<<<<<< + * start_time = time() + * attention_scores = [] + */ + __pyx_tuple__57 = PyTuple_Pack(16, __pyx_n_s_self, __pyx_n_s_data_set, __pyx_n_s_sentiment, __pyx_n_s_start_time, __pyx_n_s_attention_scores, __pyx_n_s_map_uid, __pyx_n_s_map_aspect_id, __pyx_n_s_uid, __pyx_n_s_sentiment_tup_ids_by_item, __pyx_n_s_user_aspects, __pyx_n_s_user_aspect_count, __pyx_n_s_aid, __pyx_n_s_count, __pyx_n_s_X, __pyx_n_s_tup_id, __pyx_n_s_tup); if (unlikely(!__pyx_tuple__57)) __PYX_ERR(0, 534, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__57); + __Pyx_GIVEREF(__pyx_tuple__57); + __pyx_codeobj__58 = (PyObject*)__Pyx_PyCode_New(3, 0, 16, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__57, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_build_user_attention_matrix, 534, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__58)) __PYX_ERR(0, 534, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":561 + * return X + * + * def _build_item_quality_matrix(self, data_set, sentiment): # <<<<<<<<<<<<<< + * start_time = time() + * quality_scores = [] + */ + __pyx_tuple__59 = PyTuple_Pack(21, __pyx_n_s_self, __pyx_n_s_data_set, __pyx_n_s_sentiment, __pyx_n_s_start_time, __pyx_n_s_quality_scores, __pyx_n_s_map_iid, __pyx_n_s_map_aspect_id, __pyx_n_s_iid, __pyx_n_s_sentiment_tup_ids_by_user, __pyx_n_s_item_aspects, __pyx_n_s_item_aspect_count, __pyx_n_s_total_sentiment_by_aspect, __pyx_n_s_tup_id, __pyx_n_s_aid, __pyx_n_s__54, __pyx_n_s_sentiment_polarity, __pyx_n_s_total_sentiment, __pyx_n_s_avg_sentiment, __pyx_n_s_Y, __pyx_n_s_tup_id, __pyx_n_s_tup); if (unlikely(!__pyx_tuple__59)) __PYX_ERR(0, 561, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__59); + __Pyx_GIVEREF(__pyx_tuple__59); + __pyx_codeobj__60 = (PyObject*)__Pyx_PyCode_New(3, 0, 21, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__59, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_build_item_quality_matrix, 561, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__60)) __PYX_ERR(0, 561, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":596 + * return Y + * + * def _build_matrices(self, data_set): # <<<<<<<<<<<<<< + * sentiment = self.train_set.sentiment + * A = self._build_rating_matrix(data_set) + */ + __pyx_tuple__61 = PyTuple_Pack(10, __pyx_n_s_self, __pyx_n_s_data_set, __pyx_n_s_sentiment, __pyx_n_s_A, __pyx_n_s_X, __pyx_n_s_Y, __pyx_n_s_earlier_indices, __pyx_n_s_later_indices, __pyx_n_s_aspect_indices, __pyx_n_s_pair_counts); if (unlikely(!__pyx_tuple__61)) __PYX_ERR(0, 596, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__61); + __Pyx_GIVEREF(__pyx_tuple__61); + __pyx_codeobj__62 = (PyObject*)__Pyx_PyCode_New(2, 0, 10, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__61, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_build_matrices, 596, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__62)) __PYX_ERR(0, 596, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":608 + * return A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts + * + * def _compute_attention_score(self, count): # <<<<<<<<<<<<<< + * return 1 + (self.rating_scale - 1) * (2 / (1 + np.exp(-count)) - 1) + * + */ + __pyx_tuple__63 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_count); if (unlikely(!__pyx_tuple__63)) __PYX_ERR(0, 608, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__63); + __Pyx_GIVEREF(__pyx_tuple__63); + __pyx_codeobj__64 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__63, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_compute_attention_score, 608, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__64)) __PYX_ERR(0, 608, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":611 + * return 1 + (self.rating_scale - 1) * (2 / (1 + np.exp(-count)) - 1) + * + * def _compute_quality_score(self, sentiment): # <<<<<<<<<<<<<< + * return 1 + (self.rating_scale - 1) / (1 + np.exp(-sentiment)) + * + */ + __pyx_tuple__65 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_sentiment); if (unlikely(!__pyx_tuple__65)) __PYX_ERR(0, 611, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__65); + __Pyx_GIVEREF(__pyx_tuple__65); + __pyx_codeobj__66 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__65, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_compute_quality_score, 611, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__66)) __PYX_ERR(0, 611, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":614 + * return 1 + (self.rating_scale - 1) / (1 + np.exp(-sentiment)) + * + * def monitor_value(self): # <<<<<<<<<<<<<< + * """Calculating monitored value used for early stopping on validation set (`val_set`). + * This function will be called by `early_stop()` function. + */ + __pyx_tuple__67 = PyTuple_Pack(4, __pyx_n_s_self, __pyx_n_s_A, __pyx_n_s_A_user_counts, __pyx_n_s_A_uids); if (unlikely(!__pyx_tuple__67)) __PYX_ERR(0, 614, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__67); + __Pyx_GIVEREF(__pyx_tuple__67); + __pyx_codeobj__68 = (PyObject*)__Pyx_PyCode_New(1, 0, 4, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__67, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_monitor_value, 614, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__68)) __PYX_ERR(0, 614, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_obj.pyx":635 + * self.U1, self.U2, self.V, self.H1, self.H2) + * + * def score(self, user_id, item_id=None): # <<<<<<<<<<<<<< + * """Predict the scores/ratings of a user for an item. + * + */ + __pyx_tuple__69 = PyTuple_Pack(5, __pyx_n_s_self, __pyx_n_s_user_id, __pyx_n_s_item_id, __pyx_n_s_item_scores, __pyx_n_s_item_score); if (unlikely(!__pyx_tuple__69)) __PYX_ERR(0, 635, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__69); + __Pyx_GIVEREF(__pyx_tuple__69); + __pyx_codeobj__70 = (PyObject*)__Pyx_PyCode_New(3, 0, 5, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__69, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_score, 635, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__70)) __PYX_ERR(0, 635, __pyx_L1_error) + __pyx_tuple__71 = PyTuple_Pack(1, ((PyObject *)Py_None)); if (unlikely(!__pyx_tuple__71)) __PYX_ERR(0, 635, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__71); + __Pyx_GIVEREF(__pyx_tuple__71); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":664 + * return item_score + * + * def rank(self, user_id, item_ids=None): # <<<<<<<<<<<<<< + * """Rank all test items for a given user. + * + */ + __pyx_tuple__72 = PyTuple_Pack(11, __pyx_n_s_self, __pyx_n_s_user_id, __pyx_n_s_item_ids, __pyx_n_s_X_2, __pyx_n_s_most_cared_aspects_indices, __pyx_n_s_most_cared_X, __pyx_n_s_most_cared_Y, __pyx_n_s_explicit_scores, __pyx_n_s_item_scores, __pyx_n_s_item_rank, __pyx_n_s_num_items); if (unlikely(!__pyx_tuple__72)) __PYX_ERR(0, 664, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__72); + __Pyx_GIVEREF(__pyx_tuple__72); + __pyx_codeobj__73 = (PyObject*)__Pyx_PyCode_New(3, 0, 11, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__72, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_rank, 664, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__73)) __PYX_ERR(0, 664, __pyx_L1_error) + __pyx_tuple__74 = PyTuple_Pack(1, ((PyObject *)Py_None)); if (unlikely(!__pyx_tuple__74)) __PYX_ERR(0, 664, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__74); + __Pyx_GIVEREF(__pyx_tuple__74); + + /* "View.MemoryView":286 + * return self.name + * + * cdef generic = Enum("") # <<<<<<<<<<<<<< + * cdef strided = Enum("") # default + * cdef indirect = Enum("") + */ + __pyx_tuple__75 = PyTuple_Pack(1, __pyx_kp_s_strided_and_direct_or_indirect); if (unlikely(!__pyx_tuple__75)) __PYX_ERR(2, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__75); + __Pyx_GIVEREF(__pyx_tuple__75); + + /* "View.MemoryView":287 + * + * cdef generic = Enum("") + * cdef strided = Enum("") # default # <<<<<<<<<<<<<< + * cdef indirect = Enum("") + * + */ + __pyx_tuple__76 = PyTuple_Pack(1, __pyx_kp_s_strided_and_direct); if (unlikely(!__pyx_tuple__76)) __PYX_ERR(2, 287, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__76); + __Pyx_GIVEREF(__pyx_tuple__76); + + /* "View.MemoryView":288 + * cdef generic = Enum("") + * cdef strided = Enum("") # default + * cdef indirect = Enum("") # <<<<<<<<<<<<<< + * + * + */ + __pyx_tuple__77 = PyTuple_Pack(1, __pyx_kp_s_strided_and_indirect); if (unlikely(!__pyx_tuple__77)) __PYX_ERR(2, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__77); + __Pyx_GIVEREF(__pyx_tuple__77); + + /* "View.MemoryView":291 + * + * + * cdef contiguous = Enum("") # <<<<<<<<<<<<<< + * cdef indirect_contiguous = Enum("") + * + */ + __pyx_tuple__78 = PyTuple_Pack(1, __pyx_kp_s_contiguous_and_direct); if (unlikely(!__pyx_tuple__78)) __PYX_ERR(2, 291, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__78); + __Pyx_GIVEREF(__pyx_tuple__78); + + /* "View.MemoryView":292 + * + * cdef contiguous = Enum("") + * cdef indirect_contiguous = Enum("") # <<<<<<<<<<<<<< + * + * + */ + __pyx_tuple__79 = PyTuple_Pack(1, __pyx_kp_s_contiguous_and_indirect); if (unlikely(!__pyx_tuple__79)) __PYX_ERR(2, 292, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__79); + __Pyx_GIVEREF(__pyx_tuple__79); + + /* "(tree fragment)":1 + * def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<< + * cdef object __pyx_PickleError + * cdef object __pyx_result + */ + __pyx_tuple__80 = PyTuple_Pack(5, __pyx_n_s_pyx_type, __pyx_n_s_pyx_checksum, __pyx_n_s_pyx_state, __pyx_n_s_pyx_PickleError, __pyx_n_s_pyx_result); if (unlikely(!__pyx_tuple__80)) __PYX_ERR(2, 1, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__80); + __Pyx_GIVEREF(__pyx_tuple__80); + __pyx_codeobj__81 = (PyObject*)__Pyx_PyCode_New(3, 0, 5, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__80, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_stringsource, __pyx_n_s_pyx_unpickle_Enum, 1, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__81)) __PYX_ERR(2, 1, __pyx_L1_error) + __Pyx_RefNannyFinishContext(); + return 0; + __pyx_L1_error:; + __Pyx_RefNannyFinishContext(); + return -1; +} + +static CYTHON_SMALL_CODE int __Pyx_InitGlobals(void) { + /* InitThreads.init */ + #ifdef WITH_THREAD +PyEval_InitThreads(); +#endif + +if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 1, __pyx_L1_error) + + if (__Pyx_InitStrings(__pyx_string_tab) < 0) __PYX_ERR(0, 1, __pyx_L1_error); + __pyx_float_0_9 = PyFloat_FromDouble(0.9); if (unlikely(!__pyx_float_0_9)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_float_1e9 = PyFloat_FromDouble(1e9); if (unlikely(!__pyx_float_1e9)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_float_5_0 = PyFloat_FromDouble(5.0); if (unlikely(!__pyx_float_5_0)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_float_0_01 = PyFloat_FromDouble(0.01); if (unlikely(!__pyx_float_0_01)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_0 = PyInt_FromLong(0); if (unlikely(!__pyx_int_0)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_1 = PyInt_FromLong(1); if (unlikely(!__pyx_int_1)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_2 = PyInt_FromLong(2); if (unlikely(!__pyx_int_2)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_10 = PyInt_FromLong(10); if (unlikely(!__pyx_int_10)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_26 = PyInt_FromLong(26); if (unlikely(!__pyx_int_26)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_100 = PyInt_FromLong(100); if (unlikely(!__pyx_int_100)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_128 = PyInt_FromLong(128); if (unlikely(!__pyx_int_128)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_1000 = PyInt_FromLong(1000); if (unlikely(!__pyx_int_1000)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_184977713 = PyInt_FromLong(184977713L); if (unlikely(!__pyx_int_184977713)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_neg_1 = PyInt_FromLong(-1); if (unlikely(!__pyx_int_neg_1)) __PYX_ERR(0, 1, __pyx_L1_error) + return 0; + __pyx_L1_error:; + return -1; +} + +static CYTHON_SMALL_CODE int __Pyx_modinit_global_init_code(void); /*proto*/ +static CYTHON_SMALL_CODE int __Pyx_modinit_variable_export_code(void); /*proto*/ +static CYTHON_SMALL_CODE int __Pyx_modinit_function_export_code(void); /*proto*/ +static CYTHON_SMALL_CODE int __Pyx_modinit_type_init_code(void); /*proto*/ +static CYTHON_SMALL_CODE int __Pyx_modinit_type_import_code(void); /*proto*/ +static CYTHON_SMALL_CODE int __Pyx_modinit_variable_import_code(void); /*proto*/ +static CYTHON_SMALL_CODE int __Pyx_modinit_function_import_code(void); /*proto*/ + +static int __Pyx_modinit_global_init_code(void) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__Pyx_modinit_global_init_code", 0); + /*--- Global init code ---*/ + generic = Py_None; Py_INCREF(Py_None); + strided = Py_None; Py_INCREF(Py_None); + indirect = Py_None; Py_INCREF(Py_None); + contiguous = Py_None; Py_INCREF(Py_None); + indirect_contiguous = Py_None; Py_INCREF(Py_None); + __Pyx_RefNannyFinishContext(); + return 0; +} + +static int __Pyx_modinit_variable_export_code(void) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__Pyx_modinit_variable_export_code", 0); + /*--- Variable export code ---*/ + __Pyx_RefNannyFinishContext(); + return 0; +} + +static int __Pyx_modinit_function_export_code(void) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__Pyx_modinit_function_export_code", 0); + /*--- Function export code ---*/ + __Pyx_RefNannyFinishContext(); + return 0; +} + +static int __Pyx_modinit_type_init_code(void) { + __Pyx_RefNannyDeclarations + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__Pyx_modinit_type_init_code", 0); + /*--- Type init code ---*/ + __pyx_vtabptr_array = &__pyx_vtable_array; + __pyx_vtable_array.get_memview = (PyObject *(*)(struct __pyx_array_obj *))__pyx_array_get_memview; + if (PyType_Ready(&__pyx_type___pyx_array) < 0) __PYX_ERR(2, 105, __pyx_L1_error) + #if PY_VERSION_HEX < 0x030800B1 + __pyx_type___pyx_array.tp_print = 0; + #endif + if (__Pyx_SetVtable(__pyx_type___pyx_array.tp_dict, __pyx_vtabptr_array) < 0) __PYX_ERR(2, 105, __pyx_L1_error) + if (__Pyx_setup_reduce((PyObject*)&__pyx_type___pyx_array) < 0) __PYX_ERR(2, 105, __pyx_L1_error) + __pyx_array_type = &__pyx_type___pyx_array; + if (PyType_Ready(&__pyx_type___pyx_MemviewEnum) < 0) __PYX_ERR(2, 279, __pyx_L1_error) + #if PY_VERSION_HEX < 0x030800B1 + __pyx_type___pyx_MemviewEnum.tp_print = 0; + #endif + if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type___pyx_MemviewEnum.tp_dictoffset && __pyx_type___pyx_MemviewEnum.tp_getattro == PyObject_GenericGetAttr)) { + __pyx_type___pyx_MemviewEnum.tp_getattro = __Pyx_PyObject_GenericGetAttr; + } + if (__Pyx_setup_reduce((PyObject*)&__pyx_type___pyx_MemviewEnum) < 0) __PYX_ERR(2, 279, __pyx_L1_error) + __pyx_MemviewEnum_type = &__pyx_type___pyx_MemviewEnum; + __pyx_vtabptr_memoryview = &__pyx_vtable_memoryview; + __pyx_vtable_memoryview.get_item_pointer = (char *(*)(struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_get_item_pointer; + __pyx_vtable_memoryview.is_slice = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_is_slice; + __pyx_vtable_memoryview.setitem_slice_assignment = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *, PyObject *))__pyx_memoryview_setitem_slice_assignment; + __pyx_vtable_memoryview.setitem_slice_assign_scalar = (PyObject *(*)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_setitem_slice_assign_scalar; + __pyx_vtable_memoryview.setitem_indexed = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *, PyObject *))__pyx_memoryview_setitem_indexed; + __pyx_vtable_memoryview.convert_item_to_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *))__pyx_memoryview_convert_item_to_object; + __pyx_vtable_memoryview.assign_item_from_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *, PyObject *))__pyx_memoryview_assign_item_from_object; + if (PyType_Ready(&__pyx_type___pyx_memoryview) < 0) __PYX_ERR(2, 330, __pyx_L1_error) + #if PY_VERSION_HEX < 0x030800B1 + __pyx_type___pyx_memoryview.tp_print = 0; + #endif + if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type___pyx_memoryview.tp_dictoffset && __pyx_type___pyx_memoryview.tp_getattro == PyObject_GenericGetAttr)) { + __pyx_type___pyx_memoryview.tp_getattro = __Pyx_PyObject_GenericGetAttr; + } + if (__Pyx_SetVtable(__pyx_type___pyx_memoryview.tp_dict, __pyx_vtabptr_memoryview) < 0) __PYX_ERR(2, 330, __pyx_L1_error) + if (__Pyx_setup_reduce((PyObject*)&__pyx_type___pyx_memoryview) < 0) __PYX_ERR(2, 330, __pyx_L1_error) + __pyx_memoryview_type = &__pyx_type___pyx_memoryview; + __pyx_vtabptr__memoryviewslice = &__pyx_vtable__memoryviewslice; + __pyx_vtable__memoryviewslice.__pyx_base = *__pyx_vtabptr_memoryview; + __pyx_vtable__memoryviewslice.__pyx_base.convert_item_to_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *))__pyx_memoryviewslice_convert_item_to_object; + __pyx_vtable__memoryviewslice.__pyx_base.assign_item_from_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *, PyObject *))__pyx_memoryviewslice_assign_item_from_object; + __pyx_type___pyx_memoryviewslice.tp_base = __pyx_memoryview_type; + if (PyType_Ready(&__pyx_type___pyx_memoryviewslice) < 0) __PYX_ERR(2, 965, __pyx_L1_error) + #if PY_VERSION_HEX < 0x030800B1 + __pyx_type___pyx_memoryviewslice.tp_print = 0; + #endif + if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type___pyx_memoryviewslice.tp_dictoffset && __pyx_type___pyx_memoryviewslice.tp_getattro == PyObject_GenericGetAttr)) { + __pyx_type___pyx_memoryviewslice.tp_getattro = __Pyx_PyObject_GenericGetAttr; + } + if (__Pyx_SetVtable(__pyx_type___pyx_memoryviewslice.tp_dict, __pyx_vtabptr__memoryviewslice) < 0) __PYX_ERR(2, 965, __pyx_L1_error) + if (__Pyx_setup_reduce((PyObject*)&__pyx_type___pyx_memoryviewslice) < 0) __PYX_ERR(2, 965, __pyx_L1_error) + __pyx_memoryviewslice_type = &__pyx_type___pyx_memoryviewslice; + __Pyx_RefNannyFinishContext(); + return 0; + __pyx_L1_error:; + __Pyx_RefNannyFinishContext(); + return -1; +} + +static int __Pyx_modinit_type_import_code(void) { + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__Pyx_modinit_type_import_code", 0); + /*--- Type import code ---*/ + __pyx_t_1 = PyImport_ImportModule(__Pyx_BUILTIN_MODULE_NAME); if (unlikely(!__pyx_t_1)) __PYX_ERR(3, 9, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_ptype_7cpython_4type_type = __Pyx_ImportType(__pyx_t_1, __Pyx_BUILTIN_MODULE_NAME, "type", + #if defined(PYPY_VERSION_NUM) && PYPY_VERSION_NUM < 0x050B0000 + sizeof(PyTypeObject), + #else + sizeof(PyHeapTypeObject), + #endif + __Pyx_ImportType_CheckSize_Warn); + if (!__pyx_ptype_7cpython_4type_type) __PYX_ERR(3, 9, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyImport_ImportModule("numpy"); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 206, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_ptype_5numpy_dtype = __Pyx_ImportType(__pyx_t_1, "numpy", "dtype", sizeof(PyArray_Descr), __Pyx_ImportType_CheckSize_Ignore); + if (!__pyx_ptype_5numpy_dtype) __PYX_ERR(1, 206, __pyx_L1_error) + __pyx_ptype_5numpy_flatiter = __Pyx_ImportType(__pyx_t_1, "numpy", "flatiter", sizeof(PyArrayIterObject), __Pyx_ImportType_CheckSize_Ignore); + if (!__pyx_ptype_5numpy_flatiter) __PYX_ERR(1, 229, __pyx_L1_error) + __pyx_ptype_5numpy_broadcast = __Pyx_ImportType(__pyx_t_1, "numpy", "broadcast", sizeof(PyArrayMultiIterObject), __Pyx_ImportType_CheckSize_Ignore); + if (!__pyx_ptype_5numpy_broadcast) __PYX_ERR(1, 233, __pyx_L1_error) + __pyx_ptype_5numpy_ndarray = __Pyx_ImportType(__pyx_t_1, "numpy", "ndarray", sizeof(PyArrayObject), __Pyx_ImportType_CheckSize_Ignore); + if (!__pyx_ptype_5numpy_ndarray) __PYX_ERR(1, 242, __pyx_L1_error) + __pyx_ptype_5numpy_ufunc = __Pyx_ImportType(__pyx_t_1, "numpy", "ufunc", sizeof(PyUFuncObject), __Pyx_ImportType_CheckSize_Ignore); + if (!__pyx_ptype_5numpy_ufunc) __PYX_ERR(1, 917, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_RefNannyFinishContext(); + return 0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_RefNannyFinishContext(); + return -1; +} + +static int __Pyx_modinit_variable_import_code(void) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__Pyx_modinit_variable_import_code", 0); + /*--- Variable import code ---*/ + __Pyx_RefNannyFinishContext(); + return 0; +} + +static int __Pyx_modinit_function_import_code(void) { + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__Pyx_modinit_function_import_code", 0); + /*--- Function import code ---*/ + __pyx_t_1 = PyImport_ImportModule("scipy.linalg.cython_blas"); if (!__pyx_t_1) __PYX_ERR(0, 1, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (__Pyx_ImportFunction(__pyx_t_1, "ddot", (void (**)(void))&__pyx_f_5scipy_6linalg_11cython_blas_ddot, "__pyx_t_5scipy_6linalg_11cython_blas_d (int *, __pyx_t_5scipy_6linalg_11cython_blas_d *, int *, __pyx_t_5scipy_6linalg_11cython_blas_d *, int *)") < 0) __PYX_ERR(0, 1, __pyx_L1_error) + if (__Pyx_ImportFunction(__pyx_t_1, "sdot", (void (**)(void))&__pyx_f_5scipy_6linalg_11cython_blas_sdot, "__pyx_t_5scipy_6linalg_11cython_blas_s (int *, __pyx_t_5scipy_6linalg_11cython_blas_s *, int *, __pyx_t_5scipy_6linalg_11cython_blas_s *, int *)") < 0) __PYX_ERR(0, 1, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_RefNannyFinishContext(); + return 0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_RefNannyFinishContext(); + return -1; +} + + +#ifndef CYTHON_NO_PYINIT_EXPORT +#define __Pyx_PyMODINIT_FUNC PyMODINIT_FUNC +#elif PY_MAJOR_VERSION < 3 +#ifdef __cplusplus +#define __Pyx_PyMODINIT_FUNC extern "C" void +#else +#define __Pyx_PyMODINIT_FUNC void +#endif +#else +#ifdef __cplusplus +#define __Pyx_PyMODINIT_FUNC extern "C" PyObject * +#else +#define __Pyx_PyMODINIT_FUNC PyObject * +#endif +#endif + + +#if PY_MAJOR_VERSION < 3 +__Pyx_PyMODINIT_FUNC initrecom_comparer_obj(void) CYTHON_SMALL_CODE; /*proto*/ +__Pyx_PyMODINIT_FUNC initrecom_comparer_obj(void) +#else +__Pyx_PyMODINIT_FUNC PyInit_recom_comparer_obj(void) CYTHON_SMALL_CODE; /*proto*/ +__Pyx_PyMODINIT_FUNC PyInit_recom_comparer_obj(void) +#if CYTHON_PEP489_MULTI_PHASE_INIT +{ + return PyModuleDef_Init(&__pyx_moduledef); +} +static CYTHON_SMALL_CODE int __Pyx_check_single_interpreter(void) { + #if PY_VERSION_HEX >= 0x030700A1 + static PY_INT64_T main_interpreter_id = -1; + PY_INT64_T current_id = PyInterpreterState_GetID(PyThreadState_Get()->interp); + if (main_interpreter_id == -1) { + main_interpreter_id = current_id; + return (unlikely(current_id == -1)) ? -1 : 0; + } else if (unlikely(main_interpreter_id != current_id)) + #else + static PyInterpreterState *main_interpreter = NULL; + PyInterpreterState *current_interpreter = PyThreadState_Get()->interp; + if (!main_interpreter) { + main_interpreter = current_interpreter; + } else if (unlikely(main_interpreter != current_interpreter)) + #endif + { + PyErr_SetString( + PyExc_ImportError, + "Interpreter change detected - this module can only be loaded into one interpreter per process."); + return -1; + } + return 0; +} +static CYTHON_SMALL_CODE int __Pyx_copy_spec_to_module(PyObject *spec, PyObject *moddict, const char* from_name, const char* to_name, int allow_none) { + PyObject *value = PyObject_GetAttrString(spec, from_name); + int result = 0; + if (likely(value)) { + if (allow_none || value != Py_None) { + result = PyDict_SetItemString(moddict, to_name, value); + } + Py_DECREF(value); + } else if (PyErr_ExceptionMatches(PyExc_AttributeError)) { + PyErr_Clear(); + } else { + result = -1; + } + return result; +} +static CYTHON_SMALL_CODE PyObject* __pyx_pymod_create(PyObject *spec, CYTHON_UNUSED PyModuleDef *def) { + PyObject *module = NULL, *moddict, *modname; + if (__Pyx_check_single_interpreter()) + return NULL; + if (__pyx_m) + return __Pyx_NewRef(__pyx_m); + modname = PyObject_GetAttrString(spec, "name"); + if (unlikely(!modname)) goto bad; + module = PyModule_NewObject(modname); + Py_DECREF(modname); + if (unlikely(!module)) goto bad; + moddict = PyModule_GetDict(module); + if (unlikely(!moddict)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "loader", "__loader__", 1) < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "origin", "__file__", 1) < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "parent", "__package__", 1) < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "submodule_search_locations", "__path__", 0) < 0)) goto bad; + return module; +bad: + Py_XDECREF(module); + return NULL; +} + + +static CYTHON_SMALL_CODE int __pyx_pymod_exec_recom_comparer_obj(PyObject *__pyx_pyinit_module) +#endif +#endif +{ + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + static PyThread_type_lock __pyx_t_6[8]; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannyDeclarations + #if CYTHON_PEP489_MULTI_PHASE_INIT + if (__pyx_m) { + if (__pyx_m == __pyx_pyinit_module) return 0; + PyErr_SetString(PyExc_RuntimeError, "Module 'recom_comparer_obj' has already been imported. Re-initialisation is not supported."); + return -1; + } + #elif PY_MAJOR_VERSION >= 3 + if (__pyx_m) return __Pyx_NewRef(__pyx_m); + #endif + #if CYTHON_REFNANNY +__Pyx_RefNanny = __Pyx_RefNannyImportAPI("refnanny"); +if (!__Pyx_RefNanny) { + PyErr_Clear(); + __Pyx_RefNanny = __Pyx_RefNannyImportAPI("Cython.Runtime.refnanny"); + if (!__Pyx_RefNanny) + Py_FatalError("failed to import 'refnanny' module"); +} +#endif + __Pyx_RefNannySetupContext("__Pyx_PyMODINIT_FUNC PyInit_recom_comparer_obj(void)", 0); + if (__Pyx_check_binary_version() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #ifdef __Pxy_PyFrame_Initialize_Offsets + __Pxy_PyFrame_Initialize_Offsets(); + #endif + __pyx_empty_tuple = PyTuple_New(0); if (unlikely(!__pyx_empty_tuple)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_empty_bytes = PyBytes_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_bytes)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_empty_unicode = PyUnicode_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_unicode)) __PYX_ERR(0, 1, __pyx_L1_error) + #ifdef __Pyx_CyFunction_USED + if (__pyx_CyFunction_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + #ifdef __Pyx_FusedFunction_USED + if (__pyx_FusedFunction_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + #ifdef __Pyx_Coroutine_USED + if (__pyx_Coroutine_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + #ifdef __Pyx_Generator_USED + if (__pyx_Generator_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + #ifdef __Pyx_AsyncGen_USED + if (__pyx_AsyncGen_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + #ifdef __Pyx_StopAsyncIteration_USED + if (__pyx_StopAsyncIteration_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + /*--- Library function declarations ---*/ + /*--- Threads initialization code ---*/ + #if defined(__PYX_FORCE_INIT_THREADS) && __PYX_FORCE_INIT_THREADS + #ifdef WITH_THREAD /* Python build with threading support? */ + PyEval_InitThreads(); + #endif + #endif + /*--- Module creation code ---*/ + #if CYTHON_PEP489_MULTI_PHASE_INIT + __pyx_m = __pyx_pyinit_module; + Py_INCREF(__pyx_m); + #else + #if PY_MAJOR_VERSION < 3 + __pyx_m = Py_InitModule4("recom_comparer_obj", __pyx_methods, 0, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m); + #else + __pyx_m = PyModule_Create(&__pyx_moduledef); + #endif + if (unlikely(!__pyx_m)) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + __pyx_d = PyModule_GetDict(__pyx_m); if (unlikely(!__pyx_d)) __PYX_ERR(0, 1, __pyx_L1_error) + Py_INCREF(__pyx_d); + __pyx_b = PyImport_AddModule(__Pyx_BUILTIN_MODULE_NAME); if (unlikely(!__pyx_b)) __PYX_ERR(0, 1, __pyx_L1_error) + Py_INCREF(__pyx_b); + __pyx_cython_runtime = PyImport_AddModule((char *) "cython_runtime"); if (unlikely(!__pyx_cython_runtime)) __PYX_ERR(0, 1, __pyx_L1_error) + Py_INCREF(__pyx_cython_runtime); + if (PyObject_SetAttrString(__pyx_m, "__builtins__", __pyx_b) < 0) __PYX_ERR(0, 1, __pyx_L1_error); + /*--- Initialize various global constants etc. ---*/ + if (__Pyx_InitGlobals() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #if PY_MAJOR_VERSION < 3 && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT) + if (__Pyx_init_sys_getdefaultencoding_params() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + if (__pyx_module_is_main_cornac__models__comparer__recom_comparer_obj) { + if (PyObject_SetAttr(__pyx_m, __pyx_n_s_name_2, __pyx_n_s_main) < 0) __PYX_ERR(0, 1, __pyx_L1_error) + } + #if PY_MAJOR_VERSION >= 3 + { + PyObject *modules = PyImport_GetModuleDict(); if (unlikely(!modules)) __PYX_ERR(0, 1, __pyx_L1_error) + if (!PyDict_GetItemString(modules, "cornac.models.comparer.recom_comparer_obj")) { + if (unlikely(PyDict_SetItemString(modules, "cornac.models.comparer.recom_comparer_obj", __pyx_m) < 0)) __PYX_ERR(0, 1, __pyx_L1_error) + } + } + #endif + /*--- Builtin init code ---*/ + if (__Pyx_InitCachedBuiltins() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + /*--- Constants init code ---*/ + if (__Pyx_InitCachedConstants() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + /*--- Global type/function init code ---*/ + (void)__Pyx_modinit_global_init_code(); + (void)__Pyx_modinit_variable_export_code(); + (void)__Pyx_modinit_function_export_code(); + if (unlikely(__Pyx_modinit_type_init_code() < 0)) __PYX_ERR(0, 1, __pyx_L1_error) + if (unlikely(__Pyx_modinit_type_import_code() < 0)) __PYX_ERR(0, 1, __pyx_L1_error) + (void)__Pyx_modinit_variable_import_code(); + if (unlikely(__Pyx_modinit_function_import_code() < 0)) __PYX_ERR(0, 1, __pyx_L1_error) + /*--- Execution code ---*/ + #if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED) + if (__Pyx_patch_abc() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + + /* "cornac/models/comparer/recom_comparer_obj.pyx":23 + * from libc.math cimport sqrt, log, exp + * from scipy.linalg.cython_blas cimport sdot, ddot + * from ...exception import ScoreException # <<<<<<<<<<<<<< + * from ...utils.common import intersects + * from ..recommender import Recommender + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 23, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s_ScoreException); + __Pyx_GIVEREF(__pyx_n_s_ScoreException); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_ScoreException); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_exception, __pyx_t_1, 3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 23, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_ScoreException); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 23, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_ScoreException, __pyx_t_1) < 0) __PYX_ERR(0, 23, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":24 + * from scipy.linalg.cython_blas cimport sdot, ddot + * from ...exception import ScoreException + * from ...utils.common import intersects # <<<<<<<<<<<<<< + * from ..recommender import Recommender + * from collections import Counter, OrderedDict + */ + __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 24, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_n_s_intersects); + __Pyx_GIVEREF(__pyx_n_s_intersects); + PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_intersects); + __pyx_t_1 = __Pyx_Import(__pyx_n_s_utils_common, __pyx_t_2, 3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 24, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_intersects); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 24, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_intersects, __pyx_t_2) < 0) __PYX_ERR(0, 24, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":25 + * from ...exception import ScoreException + * from ...utils.common import intersects + * from ..recommender import Recommender # <<<<<<<<<<<<<< + * from collections import Counter, OrderedDict + * import scipy.sparse as sp + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 25, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s_Recommender); + __Pyx_GIVEREF(__pyx_n_s_Recommender); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_Recommender); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_recommender, __pyx_t_1, 2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 25, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_Recommender); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 25, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_Recommender, __pyx_t_1) < 0) __PYX_ERR(0, 25, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":26 + * from ...utils.common import intersects + * from ..recommender import Recommender + * from collections import Counter, OrderedDict # <<<<<<<<<<<<<< + * import scipy.sparse as sp + * import numpy as np + */ + __pyx_t_2 = PyList_New(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 26, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_n_s_Counter); + __Pyx_GIVEREF(__pyx_n_s_Counter); + PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_Counter); + __Pyx_INCREF(__pyx_n_s_OrderedDict); + __Pyx_GIVEREF(__pyx_n_s_OrderedDict); + PyList_SET_ITEM(__pyx_t_2, 1, __pyx_n_s_OrderedDict); + __pyx_t_1 = __Pyx_Import(__pyx_n_s_collections, __pyx_t_2, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 26, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_Counter); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 26, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_Counter, __pyx_t_2) < 0) __PYX_ERR(0, 26, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 26, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_OrderedDict, __pyx_t_2) < 0) __PYX_ERR(0, 26, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":27 + * from ..recommender import Recommender + * from collections import Counter, OrderedDict + * import scipy.sparse as sp # <<<<<<<<<<<<<< + * import numpy as np + * cimport numpy as np + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 27, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s__35); + __Pyx_GIVEREF(__pyx_n_s__35); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s__35); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_scipy_sparse, __pyx_t_1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 27, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (PyDict_SetItem(__pyx_d, __pyx_n_s_sp, __pyx_t_2) < 0) __PYX_ERR(0, 27, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":28 + * from collections import Counter, OrderedDict + * import scipy.sparse as sp + * import numpy as np # <<<<<<<<<<<<<< + * cimport numpy as np + * from itertools import combinations + */ + __pyx_t_2 = __Pyx_Import(__pyx_n_s_numpy, 0, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 28, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_np, __pyx_t_2) < 0) __PYX_ERR(0, 28, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":30 + * import numpy as np + * cimport numpy as np + * from itertools import combinations # <<<<<<<<<<<<<< + * from time import time + * + */ + __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 30, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_n_s_combinations); + __Pyx_GIVEREF(__pyx_n_s_combinations); + PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_combinations); + __pyx_t_1 = __Pyx_Import(__pyx_n_s_itertools, __pyx_t_2, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 30, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_combinations); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 30, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_combinations, __pyx_t_2) < 0) __PYX_ERR(0, 30, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":31 + * cimport numpy as np + * from itertools import combinations + * from time import time # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 31, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s_time); + __Pyx_GIVEREF(__pyx_n_s_time); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_time); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_time, __pyx_t_1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 31, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_time); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 31, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_time, __pyx_t_1) < 0) __PYX_ERR(0, 31, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":34 + * + * + * MODEL_TYPES = {"Dominant": 0, "Finer": 1, "Around": 2} # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = __Pyx_PyDict_NewPresized(3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 34, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_t_2, __pyx_n_u_Dominant, __pyx_int_0) < 0) __PYX_ERR(0, 34, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_2, __pyx_n_u_Finer, __pyx_int_1) < 0) __PYX_ERR(0, 34, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_2, __pyx_n_u_Around, __pyx_int_2) < 0) __PYX_ERR(0, 34, __pyx_L1_error) + if (PyDict_SetItem(__pyx_d, __pyx_n_s_MODEL_TYPES, __pyx_t_2) < 0) __PYX_ERR(0, 34, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":45 + * + * + * class ComparERObj(Recommender): # <<<<<<<<<<<<<< + * """Explainable Recommendation with Comparative Constraints on Objective Aspect-Level Quality + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_Recommender); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 45, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 45, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2); + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_CalculateMetaclass(NULL, __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 45, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_Py3MetaclassPrepare(__pyx_t_2, __pyx_t_1, __pyx_n_s_ComparERObj, __pyx_n_s_ComparERObj, (PyObject *) NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_kp_s_Explainable_Recommendation_with); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 45, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + + /* "cornac/models/comparer/recom_comparer_obj.pyx":136 + * """ + * + * def __init__(self, name="ComparERObj", # <<<<<<<<<<<<<< + * model_type="Finer", + * num_explicit_factors=128, num_latent_factors=128, num_most_cared_aspects=100, + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_1__init__, 0, __pyx_n_s_ComparERObj___init, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__37)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 136, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_4, __pyx_tuple__38); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_init, __pyx_t_4) < 0) __PYX_ERR(0, 136, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":184 + * self.num_threads = multiprocessing.cpu_count() + * + * def _validate_model_type(self, model_type): # <<<<<<<<<<<<<< + * if model_type not in MODEL_TYPES: + * raise ValueError('Invalid model type: {}\n' + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_3_validate_model_type, 0, __pyx_n_s_ComparERObj__validate_model_type, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__40)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 184, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_validate_model_type, __pyx_t_4) < 0) __PYX_ERR(0, 184, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":190 + * return MODEL_TYPES[model_type] + * + * def fit(self, train_set, val_set=None): # <<<<<<<<<<<<<< + * """Fit the model to observations. + * + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_5fit, 0, __pyx_n_s_ComparERObj_fit, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__42)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 190, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_4, __pyx_tuple__43); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_fit, __pyx_t_4) < 0) __PYX_ERR(0, 190, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":230 + * self.U1, self.U2, self.V, self.H1, self.H2) + * + * def _init_params(self): # <<<<<<<<<<<<<< + * from ...utils import get_rng + * from ...utils.init_utils import uniform + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_7_init_params, 0, __pyx_n_s_ComparERObj__init_params, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__45)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 230, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_init_params_2, __pyx_t_4) < 0) __PYX_ERR(0, 230, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":248 + * high=high, random_state=rng)) + * + * def get_params(self): # <<<<<<<<<<<<<< + * """Get model parameters in the form of dictionary including matrices: U1, U2, V, H1, H2 + * """ + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_9get_params, 0, __pyx_n_s_ComparERObj_get_params, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__47)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 248, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_get_params, __pyx_t_4) < 0) __PYX_ERR(0, 248, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":261 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_efm(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, integral[:] A_user_counts, integral[:] A_item_counts, + * floating[:] X, integral[:] X_uids, integral[:] X_aids, integral[:] X_user_counts, integral[:] X_aspect_counts, + */ + __pyx_t_4 = __Pyx_PyDict_NewPresized(6); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = __pyx_FusedFunction_New(&__pyx_fuse_0_0__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_35_fit_efm, 0, __pyx_n_s_ComparERObj__fit_efm, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__49)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_5, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_4, __pyx_kp_s_float_short, __pyx_t_5) < 0) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = __pyx_FusedFunction_New(&__pyx_fuse_0_1__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_37_fit_efm, 0, __pyx_n_s_ComparERObj__fit_efm, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__49)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_5, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_4, __pyx_kp_s_float_int, __pyx_t_5) < 0) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = __pyx_FusedFunction_New(&__pyx_fuse_0_2__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_39_fit_efm, 0, __pyx_n_s_ComparERObj__fit_efm, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__49)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_5, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_4, __pyx_kp_s_float_long, __pyx_t_5) < 0) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = __pyx_FusedFunction_New(&__pyx_fuse_1_0__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_41_fit_efm, 0, __pyx_n_s_ComparERObj__fit_efm, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__49)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_5, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_4, __pyx_kp_s_double_short, __pyx_t_5) < 0) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = __pyx_FusedFunction_New(&__pyx_fuse_1_1__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_43_fit_efm, 0, __pyx_n_s_ComparERObj__fit_efm, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__49)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_5, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_4, __pyx_kp_s_double_int, __pyx_t_5) < 0) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = __pyx_FusedFunction_New(&__pyx_fuse_1_2__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_45_fit_efm, 0, __pyx_n_s_ComparERObj__fit_efm, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__49)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_5, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_4, __pyx_kp_s_double_long, __pyx_t_5) < 0) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = __pyx_FusedFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_11_fit_efm, 0, __pyx_n_s_ComparERObj__fit_efm, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__49)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_5, __pyx_empty_tuple); + ((__pyx_FusedFunctionObject *) __pyx_t_5)->__signatures__ = __pyx_t_4; + __Pyx_GIVEREF(__pyx_t_4); + __pyx_t_4 = 0; + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_fit_efm, __pyx_t_5) < 0) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":431 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _get_loss(self, int num_threads, # <<<<<<<<<<<<<< + * floating[:] A, integral[:] A_uids, integral[:] A_iids, + * floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + */ + __pyx_t_5 = __Pyx_PyDict_NewPresized(6); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_4 = __pyx_FusedFunction_New(&__pyx_fuse_0_0__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_49_get_loss, 0, __pyx_n_s_ComparERObj__get_loss, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__51)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_4, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_5, __pyx_kp_s_float_short, __pyx_t_4) < 0) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __pyx_FusedFunction_New(&__pyx_fuse_0_1__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_51_get_loss, 0, __pyx_n_s_ComparERObj__get_loss, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__51)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_4, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_5, __pyx_kp_s_float_int, __pyx_t_4) < 0) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __pyx_FusedFunction_New(&__pyx_fuse_0_2__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_53_get_loss, 0, __pyx_n_s_ComparERObj__get_loss, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__51)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_4, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_5, __pyx_kp_s_float_long, __pyx_t_4) < 0) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __pyx_FusedFunction_New(&__pyx_fuse_1_0__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_55_get_loss, 0, __pyx_n_s_ComparERObj__get_loss, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__51)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_4, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_5, __pyx_kp_s_double_short, __pyx_t_4) < 0) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __pyx_FusedFunction_New(&__pyx_fuse_1_1__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_57_get_loss, 0, __pyx_n_s_ComparERObj__get_loss, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__51)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_4, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_5, __pyx_kp_s_double_int, __pyx_t_4) < 0) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __pyx_FusedFunction_New(&__pyx_fuse_1_2__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_59_get_loss, 0, __pyx_n_s_ComparERObj__get_loss, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__51)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_4, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_5, __pyx_kp_s_double_long, __pyx_t_4) < 0) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __pyx_FusedFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_13_get_loss, 0, __pyx_n_s_ComparERObj__get_loss, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__51)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_4, __pyx_empty_tuple); + ((__pyx_FusedFunctionObject *) __pyx_t_4)->__signatures__ = __pyx_t_5; + __Pyx_GIVEREF(__pyx_t_5); + __pyx_t_5 = 0; + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_get_loss, __pyx_t_4) < 0) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":455 + * return loss + * + * def _build_rating_matrix(self, data_set): # <<<<<<<<<<<<<< + * start_time = time() + * ratings = [] + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_15_build_rating_matrix, 0, __pyx_n_s_ComparERObj__build_rating_matrix, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__53)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 455, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_build_rating_matrix, __pyx_t_4) < 0) __PYX_ERR(0, 455, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":479 + * return rating_matrix + * + * def _build_chrono_purchased_pairs(self, data_set, Y): # <<<<<<<<<<<<<< + * start_time = time() + * from tqdm import tqdm + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_17_build_chrono_purchased_pairs, 0, __pyx_n_s_ComparERObj__build_chrono_purcha, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__56)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 479, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_build_chrono_purchased_pairs, __pyx_t_4) < 0) __PYX_ERR(0, 479, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":534 + * return earlier_indices, later_indices, aspect_indices, pair_freq + * + * def _build_user_attention_matrix(self, data_set, sentiment): # <<<<<<<<<<<<<< + * start_time = time() + * attention_scores = [] + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_19_build_user_attention_matrix, 0, __pyx_n_s_ComparERObj__build_user_attentio, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__58)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 534, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_build_user_attention_matrix, __pyx_t_4) < 0) __PYX_ERR(0, 534, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":561 + * return X + * + * def _build_item_quality_matrix(self, data_set, sentiment): # <<<<<<<<<<<<<< + * start_time = time() + * quality_scores = [] + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_21_build_item_quality_matrix, 0, __pyx_n_s_ComparERObj__build_item_quality, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__60)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 561, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_build_item_quality_matrix, __pyx_t_4) < 0) __PYX_ERR(0, 561, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":596 + * return Y + * + * def _build_matrices(self, data_set): # <<<<<<<<<<<<<< + * sentiment = self.train_set.sentiment + * A = self._build_rating_matrix(data_set) + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_23_build_matrices, 0, __pyx_n_s_ComparERObj__build_matrices, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__62)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 596, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_build_matrices, __pyx_t_4) < 0) __PYX_ERR(0, 596, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":608 + * return A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts + * + * def _compute_attention_score(self, count): # <<<<<<<<<<<<<< + * return 1 + (self.rating_scale - 1) * (2 / (1 + np.exp(-count)) - 1) + * + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_25_compute_attention_score, 0, __pyx_n_s_ComparERObj__compute_attention_s, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__64)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 608, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_compute_attention_score, __pyx_t_4) < 0) __PYX_ERR(0, 608, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":611 + * return 1 + (self.rating_scale - 1) * (2 / (1 + np.exp(-count)) - 1) + * + * def _compute_quality_score(self, sentiment): # <<<<<<<<<<<<<< + * return 1 + (self.rating_scale - 1) / (1 + np.exp(-sentiment)) + * + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_27_compute_quality_score, 0, __pyx_n_s_ComparERObj__compute_quality_sco, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__66)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 611, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_compute_quality_score, __pyx_t_4) < 0) __PYX_ERR(0, 611, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":614 + * return 1 + (self.rating_scale - 1) / (1 + np.exp(-sentiment)) + * + * def monitor_value(self): # <<<<<<<<<<<<<< + * """Calculating monitored value used for early stopping on validation set (`val_set`). + * This function will be called by `early_stop()` function. + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_29monitor_value, 0, __pyx_n_s_ComparERObj_monitor_value, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__68)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 614, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_monitor_value, __pyx_t_4) < 0) __PYX_ERR(0, 614, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":635 + * self.U1, self.U2, self.V, self.H1, self.H2) + * + * def score(self, user_id, item_id=None): # <<<<<<<<<<<<<< + * """Predict the scores/ratings of a user for an item. + * + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_31score, 0, __pyx_n_s_ComparERObj_score, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__70)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 635, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_4, __pyx_tuple__71); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_score, __pyx_t_4) < 0) __PYX_ERR(0, 635, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":664 + * return item_score + * + * def rank(self, user_id, item_ids=None): # <<<<<<<<<<<<<< + * """Rank all test items for a given user. + * + */ + __pyx_t_4 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_obj_11ComparERObj_33rank, 0, __pyx_n_s_ComparERObj_rank, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__73)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 664, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_4, __pyx_tuple__74); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_rank, __pyx_t_4) < 0) __PYX_ERR(0, 664, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":45 + * + * + * class ComparERObj(Recommender): # <<<<<<<<<<<<<< + * """Explainable Recommendation with Comparative Constraints on Objective Aspect-Level Quality + * + */ + __pyx_t_4 = __Pyx_Py3ClassCreate(__pyx_t_2, __pyx_n_s_ComparERObj, __pyx_t_1, __pyx_t_3, NULL, 0, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 45, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_ComparERObj, __pyx_t_4) < 0) __PYX_ERR(0, 45, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_obj.pyx":1 + * # Copyright 2018 The Cornac Authors. All Rights Reserved. # <<<<<<<<<<<<<< + * # + * # Licensed under the Apache License, Version 2.0 (the "License"); + */ + __pyx_t_1 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_1) < 0) __PYX_ERR(0, 1, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "View.MemoryView":209 + * info.obj = self + * + * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< + * + * def __dealloc__(array self): + */ + __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_array_getbuffer)), ((char *)"getbuffer(obj, view, flags)")); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 209, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem((PyObject *)__pyx_array_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_1) < 0) __PYX_ERR(2, 209, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + PyType_Modified(__pyx_array_type); + + /* "View.MemoryView":286 + * return self.name + * + * cdef generic = Enum("") # <<<<<<<<<<<<<< + * cdef strided = Enum("") # default + * cdef indirect = Enum("") + */ + __pyx_t_1 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__75, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XGOTREF(generic); + __Pyx_DECREF_SET(generic, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_1); + __pyx_t_1 = 0; + + /* "View.MemoryView":287 + * + * cdef generic = Enum("") + * cdef strided = Enum("") # default # <<<<<<<<<<<<<< + * cdef indirect = Enum("") + * + */ + __pyx_t_1 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__76, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 287, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XGOTREF(strided); + __Pyx_DECREF_SET(strided, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_1); + __pyx_t_1 = 0; + + /* "View.MemoryView":288 + * cdef generic = Enum("") + * cdef strided = Enum("") # default + * cdef indirect = Enum("") # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_1 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__77, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XGOTREF(indirect); + __Pyx_DECREF_SET(indirect, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_1); + __pyx_t_1 = 0; + + /* "View.MemoryView":291 + * + * + * cdef contiguous = Enum("") # <<<<<<<<<<<<<< + * cdef indirect_contiguous = Enum("") + * + */ + __pyx_t_1 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__78, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 291, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XGOTREF(contiguous); + __Pyx_DECREF_SET(contiguous, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_1); + __pyx_t_1 = 0; + + /* "View.MemoryView":292 + * + * cdef contiguous = Enum("") + * cdef indirect_contiguous = Enum("") # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_1 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__79, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 292, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XGOTREF(indirect_contiguous); + __Pyx_DECREF_SET(indirect_contiguous, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_1); + __pyx_t_1 = 0; + + /* "View.MemoryView":316 + * + * DEF THREAD_LOCKS_PREALLOCATED = 8 + * cdef int __pyx_memoryview_thread_locks_used = 0 # <<<<<<<<<<<<<< + * cdef PyThread_type_lock[THREAD_LOCKS_PREALLOCATED] __pyx_memoryview_thread_locks = [ + * PyThread_allocate_lock(), + */ + __pyx_memoryview_thread_locks_used = 0; + + /* "View.MemoryView":317 + * DEF THREAD_LOCKS_PREALLOCATED = 8 + * cdef int __pyx_memoryview_thread_locks_used = 0 + * cdef PyThread_type_lock[THREAD_LOCKS_PREALLOCATED] __pyx_memoryview_thread_locks = [ # <<<<<<<<<<<<<< + * PyThread_allocate_lock(), + * PyThread_allocate_lock(), + */ + __pyx_t_6[0] = PyThread_allocate_lock(); + __pyx_t_6[1] = PyThread_allocate_lock(); + __pyx_t_6[2] = PyThread_allocate_lock(); + __pyx_t_6[3] = PyThread_allocate_lock(); + __pyx_t_6[4] = PyThread_allocate_lock(); + __pyx_t_6[5] = PyThread_allocate_lock(); + __pyx_t_6[6] = PyThread_allocate_lock(); + __pyx_t_6[7] = PyThread_allocate_lock(); + memcpy(&(__pyx_memoryview_thread_locks[0]), __pyx_t_6, sizeof(__pyx_memoryview_thread_locks[0]) * (8)); + + /* "View.MemoryView":549 + * info.obj = self + * + * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), ((char *)"getbuffer(obj, view, flags)")); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem((PyObject *)__pyx_memoryview_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_1) < 0) __PYX_ERR(2, 549, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + PyType_Modified(__pyx_memoryview_type); + + /* "View.MemoryView":995 + * return self.from_object + * + * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), ((char *)"getbuffer(obj, view, flags)")); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 995, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem((PyObject *)__pyx_memoryviewslice_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_1) < 0) __PYX_ERR(2, 995, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + PyType_Modified(__pyx_memoryviewslice_type); + + /* "(tree fragment)":1 + * def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<< + * cdef object __pyx_PickleError + * cdef object __pyx_result + */ + __pyx_t_1 = PyCFunction_NewEx(&__pyx_mdef_15View_dot_MemoryView_1__pyx_unpickle_Enum, NULL, __pyx_n_s_View_MemoryView); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 1, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_pyx_unpickle_Enum, __pyx_t_1) < 0) __PYX_ERR(2, 1, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "(tree fragment)":11 + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): # <<<<<<<<<<<<<< + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): + */ + + /*--- Wrapped vars code ---*/ + + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + if (__pyx_m) { + if (__pyx_d) { + __Pyx_AddTraceback("init cornac.models.comparer.recom_comparer_obj", __pyx_clineno, __pyx_lineno, __pyx_filename); + } + Py_CLEAR(__pyx_m); + } else if (!PyErr_Occurred()) { + PyErr_SetString(PyExc_ImportError, "init cornac.models.comparer.recom_comparer_obj"); + } + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + #if CYTHON_PEP489_MULTI_PHASE_INIT + return (__pyx_m != NULL) ? 0 : -1; + #elif PY_MAJOR_VERSION >= 3 + return __pyx_m; + #else + return; + #endif +} + +/* --- Runtime support code --- */ +/* Refnanny */ +#if CYTHON_REFNANNY +static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) { + PyObject *m = NULL, *p = NULL; + void *r = NULL; + m = PyImport_ImportModule(modname); + if (!m) goto end; + p = PyObject_GetAttrString(m, "RefNannyAPI"); + if (!p) goto end; + r = PyLong_AsVoidPtr(p); +end: + Py_XDECREF(p); + Py_XDECREF(m); + return (__Pyx_RefNannyAPIStruct *)r; +} +#endif + +/* PyObjectGetAttrStr */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) { + PyTypeObject* tp = Py_TYPE(obj); + if (likely(tp->tp_getattro)) + return tp->tp_getattro(obj, attr_name); +#if PY_MAJOR_VERSION < 3 + if (likely(tp->tp_getattr)) + return tp->tp_getattr(obj, PyString_AS_STRING(attr_name)); +#endif + return PyObject_GetAttr(obj, attr_name); +} +#endif + +/* GetBuiltinName */ +static PyObject *__Pyx_GetBuiltinName(PyObject *name) { + PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name); + if (unlikely(!result)) { + PyErr_Format(PyExc_NameError, +#if PY_MAJOR_VERSION >= 3 + "name '%U' is not defined", name); +#else + "name '%.200s' is not defined", PyString_AS_STRING(name)); +#endif + } + return result; +} + +/* RaiseDoubleKeywords */ +static void __Pyx_RaiseDoubleKeywordsError( + const char* func_name, + PyObject* kw_name) +{ + PyErr_Format(PyExc_TypeError, + #if PY_MAJOR_VERSION >= 3 + "%s() got multiple values for keyword argument '%U'", func_name, kw_name); + #else + "%s() got multiple values for keyword argument '%s'", func_name, + PyString_AsString(kw_name)); + #endif +} + +/* ParseKeywords */ +static int __Pyx_ParseOptionalKeywords( + PyObject *kwds, + PyObject **argnames[], + PyObject *kwds2, + PyObject *values[], + Py_ssize_t num_pos_args, + const char* function_name) +{ + PyObject *key = 0, *value = 0; + Py_ssize_t pos = 0; + PyObject*** name; + PyObject*** first_kw_arg = argnames + num_pos_args; + while (PyDict_Next(kwds, &pos, &key, &value)) { + name = first_kw_arg; + while (*name && (**name != key)) name++; + if (*name) { + values[name-argnames] = value; + continue; + } + name = first_kw_arg; + #if PY_MAJOR_VERSION < 3 + if (likely(PyString_Check(key))) { + while (*name) { + if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) + && _PyString_Eq(**name, key)) { + values[name-argnames] = value; + break; + } + name++; + } + if (*name) continue; + else { + PyObject*** argname = argnames; + while (argname != first_kw_arg) { + if ((**argname == key) || ( + (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) + && _PyString_Eq(**argname, key))) { + goto arg_passed_twice; + } + argname++; + } + } + } else + #endif + if (likely(PyUnicode_Check(key))) { + while (*name) { + int cmp = (**name == key) ? 0 : + #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 + (__Pyx_PyUnicode_GET_LENGTH(**name) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 : + #endif + PyUnicode_Compare(**name, key); + if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; + if (cmp == 0) { + values[name-argnames] = value; + break; + } + name++; + } + if (*name) continue; + else { + PyObject*** argname = argnames; + while (argname != first_kw_arg) { + int cmp = (**argname == key) ? 0 : + #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 + (__Pyx_PyUnicode_GET_LENGTH(**argname) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 : + #endif + PyUnicode_Compare(**argname, key); + if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; + if (cmp == 0) goto arg_passed_twice; + argname++; + } + } + } else + goto invalid_keyword_type; + if (kwds2) { + if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; + } else { + goto invalid_keyword; + } + } + return 0; +arg_passed_twice: + __Pyx_RaiseDoubleKeywordsError(function_name, key); + goto bad; +invalid_keyword_type: + PyErr_Format(PyExc_TypeError, + "%.200s() keywords must be strings", function_name); + goto bad; +invalid_keyword: + PyErr_Format(PyExc_TypeError, + #if PY_MAJOR_VERSION < 3 + "%.200s() got an unexpected keyword argument '%.200s'", + function_name, PyString_AsString(key)); + #else + "%s() got an unexpected keyword argument '%U'", + function_name, key); + #endif +bad: + return -1; +} + +/* RaiseArgTupleInvalid */ +static void __Pyx_RaiseArgtupleInvalid( + const char* func_name, + int exact, + Py_ssize_t num_min, + Py_ssize_t num_max, + Py_ssize_t num_found) +{ + Py_ssize_t num_expected; + const char *more_or_less; + if (num_found < num_min) { + num_expected = num_min; + more_or_less = "at least"; + } else { + num_expected = num_max; + more_or_less = "at most"; + } + if (exact) { + more_or_less = "exactly"; + } + PyErr_Format(PyExc_TypeError, + "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)", + func_name, more_or_less, num_expected, + (num_expected == 1) ? "" : "s", num_found); +} + +/* PyDictVersioning */ +#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; +} +static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { + PyObject **dictptr = NULL; + Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; + if (offset) { +#if CYTHON_COMPILING_IN_CPYTHON + dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); +#else + dictptr = _PyObject_GetDictPtr(obj); +#endif + } + return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; +} +static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) + return 0; + return obj_dict_version == __Pyx_get_object_dict_version(obj); +} +#endif + +/* GetModuleGlobalName */ +#if CYTHON_USE_DICT_VERSIONS +static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) +#else +static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) +#endif +{ + PyObject *result; +#if !CYTHON_AVOID_BORROWED_REFS +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 + result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } else if (unlikely(PyErr_Occurred())) { + return NULL; + } +#else + result = PyDict_GetItem(__pyx_d, name); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } +#endif +#else + result = PyObject_GetItem(__pyx_d, name); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } + PyErr_Clear(); +#endif + return __Pyx_GetBuiltinName(name); +} + +/* PyObjectCall */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { + PyObject *result; + ternaryfunc call = func->ob_type->tp_call; + if (unlikely(!call)) + return PyObject_Call(func, arg, kw); + if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) + return NULL; + result = (*call)(func, arg, kw); + Py_LeaveRecursiveCall(); + if (unlikely(!result) && unlikely(!PyErr_Occurred())) { + PyErr_SetString( + PyExc_SystemError, + "NULL result without error in PyObject_Call"); + } + return result; +} +#endif + +/* PyCFunctionFastCall */ +#if CYTHON_FAST_PYCCALL +static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) { + PyCFunctionObject *func = (PyCFunctionObject*)func_obj; + PyCFunction meth = PyCFunction_GET_FUNCTION(func); + PyObject *self = PyCFunction_GET_SELF(func); + int flags = PyCFunction_GET_FLAGS(func); + assert(PyCFunction_Check(func)); + assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))); + assert(nargs >= 0); + assert(nargs == 0 || args != NULL); + /* _PyCFunction_FastCallDict() must not be called with an exception set, + because it may clear it (directly or indirectly) and so the + caller loses its exception */ + assert(!PyErr_Occurred()); + if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) { + return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL); + } else { + return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs); + } +} +#endif + +/* PyFunctionFastCall */ +#if CYTHON_FAST_PYCALL +static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, + PyObject *globals) { + PyFrameObject *f; + PyThreadState *tstate = __Pyx_PyThreadState_Current; + PyObject **fastlocals; + Py_ssize_t i; + PyObject *result; + assert(globals != NULL); + /* XXX Perhaps we should create a specialized + PyFrame_New() that doesn't take locals, but does + take builtins without sanity checking them. + */ + assert(tstate != NULL); + f = PyFrame_New(tstate, co, globals, NULL); + if (f == NULL) { + return NULL; + } + fastlocals = __Pyx_PyFrame_GetLocalsplus(f); + for (i = 0; i < na; i++) { + Py_INCREF(*args); + fastlocals[i] = *args++; + } + result = PyEval_EvalFrameEx(f,0); + ++tstate->recursion_depth; + Py_DECREF(f); + --tstate->recursion_depth; + return result; +} +#if 1 || PY_VERSION_HEX < 0x030600B1 +static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) { + PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); + PyObject *globals = PyFunction_GET_GLOBALS(func); + PyObject *argdefs = PyFunction_GET_DEFAULTS(func); + PyObject *closure; +#if PY_MAJOR_VERSION >= 3 + PyObject *kwdefs; +#endif + PyObject *kwtuple, **k; + PyObject **d; + Py_ssize_t nd; + Py_ssize_t nk; + PyObject *result; + assert(kwargs == NULL || PyDict_Check(kwargs)); + nk = kwargs ? PyDict_Size(kwargs) : 0; + if (Py_EnterRecursiveCall((char*)" while calling a Python object")) { + return NULL; + } + if ( +#if PY_MAJOR_VERSION >= 3 + co->co_kwonlyargcount == 0 && +#endif + likely(kwargs == NULL || nk == 0) && + co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { + if (argdefs == NULL && co->co_argcount == nargs) { + result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals); + goto done; + } + else if (nargs == 0 && argdefs != NULL + && co->co_argcount == Py_SIZE(argdefs)) { + /* function called with no arguments, but all parameters have + a default value: use default values as arguments .*/ + args = &PyTuple_GET_ITEM(argdefs, 0); + result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals); + goto done; + } + } + if (kwargs != NULL) { + Py_ssize_t pos, i; + kwtuple = PyTuple_New(2 * nk); + if (kwtuple == NULL) { + result = NULL; + goto done; + } + k = &PyTuple_GET_ITEM(kwtuple, 0); + pos = i = 0; + while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) { + Py_INCREF(k[i]); + Py_INCREF(k[i+1]); + i += 2; + } + nk = i / 2; + } + else { + kwtuple = NULL; + k = NULL; + } + closure = PyFunction_GET_CLOSURE(func); +#if PY_MAJOR_VERSION >= 3 + kwdefs = PyFunction_GET_KW_DEFAULTS(func); +#endif + if (argdefs != NULL) { + d = &PyTuple_GET_ITEM(argdefs, 0); + nd = Py_SIZE(argdefs); + } + else { + d = NULL; + nd = 0; + } +#if PY_MAJOR_VERSION >= 3 + result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL, + args, (int)nargs, + k, (int)nk, + d, (int)nd, kwdefs, closure); +#else + result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL, + args, (int)nargs, + k, (int)nk, + d, (int)nd, closure); +#endif + Py_XDECREF(kwtuple); +done: + Py_LeaveRecursiveCall(); + return result; +} +#endif +#endif + +/* PyObjectCall2Args */ +static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) { + PyObject *args, *result = NULL; + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(function)) { + PyObject *args[2] = {arg1, arg2}; + return __Pyx_PyFunction_FastCall(function, args, 2); + } + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(function)) { + PyObject *args[2] = {arg1, arg2}; + return __Pyx_PyCFunction_FastCall(function, args, 2); + } + #endif + args = PyTuple_New(2); + if (unlikely(!args)) goto done; + Py_INCREF(arg1); + PyTuple_SET_ITEM(args, 0, arg1); + Py_INCREF(arg2); + PyTuple_SET_ITEM(args, 1, arg2); + Py_INCREF(function); + result = __Pyx_PyObject_Call(function, args, NULL); + Py_DECREF(args); + Py_DECREF(function); +done: + return result; +} + +/* PyObjectCallMethO */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { + PyObject *self, *result; + PyCFunction cfunc; + cfunc = PyCFunction_GET_FUNCTION(func); + self = PyCFunction_GET_SELF(func); + if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) + return NULL; + result = cfunc(self, arg); + Py_LeaveRecursiveCall(); + if (unlikely(!result) && unlikely(!PyErr_Occurred())) { + PyErr_SetString( + PyExc_SystemError, + "NULL result without error in PyObject_Call"); + } + return result; +} +#endif + +/* PyObjectCallOneArg */ +#if CYTHON_COMPILING_IN_CPYTHON +static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) { + PyObject *result; + PyObject *args = PyTuple_New(1); + if (unlikely(!args)) return NULL; + Py_INCREF(arg); + PyTuple_SET_ITEM(args, 0, arg); + result = __Pyx_PyObject_Call(func, args, NULL); + Py_DECREF(args); + return result; +} +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { +#if CYTHON_FAST_PYCALL + if (PyFunction_Check(func)) { + return __Pyx_PyFunction_FastCall(func, &arg, 1); + } +#endif + if (likely(PyCFunction_Check(func))) { + if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { + return __Pyx_PyObject_CallMethO(func, arg); +#if CYTHON_FAST_PYCCALL + } else if (__Pyx_PyFastCFunction_Check(func)) { + return __Pyx_PyCFunction_FastCall(func, &arg, 1); +#endif + } + } + return __Pyx__PyObject_CallOneArg(func, arg); +} +#else +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { + PyObject *result; + PyObject *args = PyTuple_Pack(1, arg); + if (unlikely(!args)) return NULL; + result = __Pyx_PyObject_Call(func, args, NULL); + Py_DECREF(args); + return result; +} +#endif + +/* PyObjectSetAttrStr */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value) { + PyTypeObject* tp = Py_TYPE(obj); + if (likely(tp->tp_setattro)) + return tp->tp_setattro(obj, attr_name, value); +#if PY_MAJOR_VERSION < 3 + if (likely(tp->tp_setattr)) + return tp->tp_setattr(obj, PyString_AS_STRING(attr_name), value); +#endif + return PyObject_SetAttr(obj, attr_name, value); +} +#endif + +/* Import */ +static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { + PyObject *empty_list = 0; + PyObject *module = 0; + PyObject *global_dict = 0; + PyObject *empty_dict = 0; + PyObject *list; + #if PY_MAJOR_VERSION < 3 + PyObject *py_import; + py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); + if (!py_import) + goto bad; + #endif + if (from_list) + list = from_list; + else { + empty_list = PyList_New(0); + if (!empty_list) + goto bad; + list = empty_list; + } + global_dict = PyModule_GetDict(__pyx_m); + if (!global_dict) + goto bad; + empty_dict = PyDict_New(); + if (!empty_dict) + goto bad; + { + #if PY_MAJOR_VERSION >= 3 + if (level == -1) { + if ((1) && (strchr(__Pyx_MODULE_NAME, '.'))) { + module = PyImport_ImportModuleLevelObject( + name, global_dict, empty_dict, list, 1); + if (!module) { + if (!PyErr_ExceptionMatches(PyExc_ImportError)) + goto bad; + PyErr_Clear(); + } + } + level = 0; + } + #endif + if (!module) { + #if PY_MAJOR_VERSION < 3 + PyObject *py_level = PyInt_FromLong(level); + if (!py_level) + goto bad; + module = PyObject_CallFunctionObjArgs(py_import, + name, global_dict, empty_dict, list, py_level, (PyObject *)NULL); + Py_DECREF(py_level); + #else + module = PyImport_ImportModuleLevelObject( + name, global_dict, empty_dict, list, level); + #endif + } + } +bad: + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(py_import); + #endif + Py_XDECREF(empty_list); + Py_XDECREF(empty_dict); + return module; +} + +/* PyObjectCallNoArg */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) { +#if CYTHON_FAST_PYCALL + if (PyFunction_Check(func)) { + return __Pyx_PyFunction_FastCall(func, NULL, 0); + } +#endif +#ifdef __Pyx_CyFunction_USED + if (likely(PyCFunction_Check(func) || __Pyx_CyFunction_Check(func))) +#else + if (likely(PyCFunction_Check(func))) +#endif + { + if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) { + return __Pyx_PyObject_CallMethO(func, NULL); + } + } + return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL); +} +#endif + +/* PyErrFetchRestore */ +#if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + tmp_type = tstate->curexc_type; + tmp_value = tstate->curexc_value; + tmp_tb = tstate->curexc_traceback; + tstate->curexc_type = type; + tstate->curexc_value = value; + tstate->curexc_traceback = tb; + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +} +static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + *type = tstate->curexc_type; + *value = tstate->curexc_value; + *tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; +} +#endif + +/* RaiseException */ +#if PY_MAJOR_VERSION < 3 +static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, + CYTHON_UNUSED PyObject *cause) { + __Pyx_PyThreadState_declare + Py_XINCREF(type); + if (!value || value == Py_None) + value = NULL; + else + Py_INCREF(value); + if (!tb || tb == Py_None) + tb = NULL; + else { + Py_INCREF(tb); + if (!PyTraceBack_Check(tb)) { + PyErr_SetString(PyExc_TypeError, + "raise: arg 3 must be a traceback or None"); + goto raise_error; + } + } + if (PyType_Check(type)) { +#if CYTHON_COMPILING_IN_PYPY + if (!value) { + Py_INCREF(Py_None); + value = Py_None; + } +#endif + PyErr_NormalizeException(&type, &value, &tb); + } else { + if (value) { + PyErr_SetString(PyExc_TypeError, + "instance exception may not have a separate value"); + goto raise_error; + } + value = type; + type = (PyObject*) Py_TYPE(type); + Py_INCREF(type); + if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { + PyErr_SetString(PyExc_TypeError, + "raise: exception class must be a subclass of BaseException"); + goto raise_error; + } + } + __Pyx_PyThreadState_assign + __Pyx_ErrRestore(type, value, tb); + return; +raise_error: + Py_XDECREF(value); + Py_XDECREF(type); + Py_XDECREF(tb); + return; +} +#else +static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { + PyObject* owned_instance = NULL; + if (tb == Py_None) { + tb = 0; + } else if (tb && !PyTraceBack_Check(tb)) { + PyErr_SetString(PyExc_TypeError, + "raise: arg 3 must be a traceback or None"); + goto bad; + } + if (value == Py_None) + value = 0; + if (PyExceptionInstance_Check(type)) { + if (value) { + PyErr_SetString(PyExc_TypeError, + "instance exception may not have a separate value"); + goto bad; + } + value = type; + type = (PyObject*) Py_TYPE(value); + } else if (PyExceptionClass_Check(type)) { + PyObject *instance_class = NULL; + if (value && PyExceptionInstance_Check(value)) { + instance_class = (PyObject*) Py_TYPE(value); + if (instance_class != type) { + int is_subclass = PyObject_IsSubclass(instance_class, type); + if (!is_subclass) { + instance_class = NULL; + } else if (unlikely(is_subclass == -1)) { + goto bad; + } else { + type = instance_class; + } + } + } + if (!instance_class) { + PyObject *args; + if (!value) + args = PyTuple_New(0); + else if (PyTuple_Check(value)) { + Py_INCREF(value); + args = value; + } else + args = PyTuple_Pack(1, value); + if (!args) + goto bad; + owned_instance = PyObject_Call(type, args, NULL); + Py_DECREF(args); + if (!owned_instance) + goto bad; + value = owned_instance; + if (!PyExceptionInstance_Check(value)) { + PyErr_Format(PyExc_TypeError, + "calling %R should have returned an instance of " + "BaseException, not %R", + type, Py_TYPE(value)); + goto bad; + } + } + } else { + PyErr_SetString(PyExc_TypeError, + "raise: exception class must be a subclass of BaseException"); + goto bad; + } + if (cause) { + PyObject *fixed_cause; + if (cause == Py_None) { + fixed_cause = NULL; + } else if (PyExceptionClass_Check(cause)) { + fixed_cause = PyObject_CallObject(cause, NULL); + if (fixed_cause == NULL) + goto bad; + } else if (PyExceptionInstance_Check(cause)) { + fixed_cause = cause; + Py_INCREF(fixed_cause); + } else { + PyErr_SetString(PyExc_TypeError, + "exception causes must derive from " + "BaseException"); + goto bad; + } + PyException_SetCause(value, fixed_cause); + } + PyErr_SetObject(type, value); + if (tb) { +#if CYTHON_COMPILING_IN_PYPY + PyObject *tmp_type, *tmp_value, *tmp_tb; + PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); + Py_INCREF(tb); + PyErr_Restore(tmp_type, tmp_value, tb); + Py_XDECREF(tmp_tb); +#else + PyThreadState *tstate = __Pyx_PyThreadState_Current; + PyObject* tmp_tb = tstate->curexc_traceback; + if (tb != tmp_tb) { + Py_INCREF(tb); + tstate->curexc_traceback = tb; + Py_XDECREF(tmp_tb); + } +#endif + } +bad: + Py_XDECREF(owned_instance); + return; +} +#endif + +/* GetItemInt */ +static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { + PyObject *r; + if (!j) return NULL; + r = PyObject_GetItem(o, j); + Py_DECREF(j); + return r; +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, + CYTHON_NCP_UNUSED int wraparound, + CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + Py_ssize_t wrapped_i = i; + if (wraparound & unlikely(i < 0)) { + wrapped_i += PyList_GET_SIZE(o); + } + if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) { + PyObject *r = PyList_GET_ITEM(o, wrapped_i); + Py_INCREF(r); + return r; + } + return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); +#else + return PySequence_GetItem(o, i); +#endif +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, + CYTHON_NCP_UNUSED int wraparound, + CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + Py_ssize_t wrapped_i = i; + if (wraparound & unlikely(i < 0)) { + wrapped_i += PyTuple_GET_SIZE(o); + } + if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) { + PyObject *r = PyTuple_GET_ITEM(o, wrapped_i); + Py_INCREF(r); + return r; + } + return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); +#else + return PySequence_GetItem(o, i); +#endif +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, + CYTHON_NCP_UNUSED int wraparound, + CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS + if (is_list || PyList_CheckExact(o)) { + Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); + if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) { + PyObject *r = PyList_GET_ITEM(o, n); + Py_INCREF(r); + return r; + } + } + else if (PyTuple_CheckExact(o)) { + Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); + if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) { + PyObject *r = PyTuple_GET_ITEM(o, n); + Py_INCREF(r); + return r; + } + } else { + PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; + if (likely(m && m->sq_item)) { + if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { + Py_ssize_t l = m->sq_length(o); + if (likely(l >= 0)) { + i += l; + } else { + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) + return NULL; + PyErr_Clear(); + } + } + return m->sq_item(o, i); + } + } +#else + if (is_list || PySequence_Check(o)) { + return PySequence_GetItem(o, i); + } +#endif + return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); +} + +/* ObjectGetItem */ +#if CYTHON_USE_TYPE_SLOTS +static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) { + PyObject *runerr; + Py_ssize_t key_value; + PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence; + if (unlikely(!(m && m->sq_item))) { + PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name); + return NULL; + } + key_value = __Pyx_PyIndex_AsSsize_t(index); + if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) { + return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1); + } + if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) { + PyErr_Clear(); + PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name); + } + return NULL; +} +static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) { + PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping; + if (likely(m && m->mp_subscript)) { + return m->mp_subscript(obj, key); + } + return __Pyx_PyObject_GetIndex(obj, key); +} +#endif + +/* RaiseTooManyValuesToUnpack */ +static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { + PyErr_Format(PyExc_ValueError, + "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); +} + +/* RaiseNeedMoreValuesToUnpack */ +static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { + PyErr_Format(PyExc_ValueError, + "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", + index, (index == 1) ? "" : "s"); +} + +/* IterFinish */ +static CYTHON_INLINE int __Pyx_IterFinish(void) { +#if CYTHON_FAST_THREAD_STATE + PyThreadState *tstate = __Pyx_PyThreadState_Current; + PyObject* exc_type = tstate->curexc_type; + if (unlikely(exc_type)) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) { + PyObject *exc_value, *exc_tb; + exc_value = tstate->curexc_value; + exc_tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; + Py_DECREF(exc_type); + Py_XDECREF(exc_value); + Py_XDECREF(exc_tb); + return 0; + } else { + return -1; + } + } + return 0; +#else + if (unlikely(PyErr_Occurred())) { + if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) { + PyErr_Clear(); + return 0; + } else { + return -1; + } + } + return 0; +#endif +} + +/* UnpackItemEndCheck */ +static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) { + if (unlikely(retval)) { + Py_DECREF(retval); + __Pyx_RaiseTooManyValuesError(expected); + return -1; + } else { + return __Pyx_IterFinish(); + } + return 0; +} + +/* ImportFrom */ +static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { + PyObject* value = __Pyx_PyObject_GetAttrStr(module, name); + if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) { + PyErr_Format(PyExc_ImportError, + #if PY_MAJOR_VERSION < 3 + "cannot import name %.230s", PyString_AS_STRING(name)); + #else + "cannot import name %S", name); + #endif + } + return value; +} + +/* DictGetItem */ +#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY +static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) { + PyObject *value; + value = PyDict_GetItemWithError(d, key); + if (unlikely(!value)) { + if (!PyErr_Occurred()) { + if (unlikely(PyTuple_Check(key))) { + PyObject* args = PyTuple_Pack(1, key); + if (likely(args)) { + PyErr_SetObject(PyExc_KeyError, args); + Py_DECREF(args); + } + } else { + PyErr_SetObject(PyExc_KeyError, key); + } + } + return NULL; + } + Py_INCREF(value); + return value; +} +#endif + +/* UnicodeAsUCS4 */ +static CYTHON_INLINE Py_UCS4 __Pyx_PyUnicode_AsPy_UCS4(PyObject* x) { + Py_ssize_t length; + #if CYTHON_PEP393_ENABLED + length = PyUnicode_GET_LENGTH(x); + if (likely(length == 1)) { + return PyUnicode_READ_CHAR(x, 0); + } + #else + length = PyUnicode_GET_SIZE(x); + if (likely(length == 1)) { + return PyUnicode_AS_UNICODE(x)[0]; + } + #if Py_UNICODE_SIZE == 2 + else if (PyUnicode_GET_SIZE(x) == 2) { + Py_UCS4 high_val = PyUnicode_AS_UNICODE(x)[0]; + if (high_val >= 0xD800 && high_val <= 0xDBFF) { + Py_UCS4 low_val = PyUnicode_AS_UNICODE(x)[1]; + if (low_val >= 0xDC00 && low_val <= 0xDFFF) { + return 0x10000 + (((high_val & ((1<<10)-1)) << 10) | (low_val & ((1<<10)-1))); + } + } + } + #endif + #endif + PyErr_Format(PyExc_ValueError, + "only single character unicode strings can be converted to Py_UCS4, " + "got length %" CYTHON_FORMAT_SSIZE_T "d", length); + return (Py_UCS4)-1; +} + +/* object_ord */ +static long __Pyx__PyObject_Ord(PyObject* c) { + Py_ssize_t size; + if (PyBytes_Check(c)) { + size = PyBytes_GET_SIZE(c); + if (likely(size == 1)) { + return (unsigned char) PyBytes_AS_STRING(c)[0]; + } +#if PY_MAJOR_VERSION < 3 + } else if (PyUnicode_Check(c)) { + return (long)__Pyx_PyUnicode_AsPy_UCS4(c); +#endif +#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) + } else if (PyByteArray_Check(c)) { + size = PyByteArray_GET_SIZE(c); + if (likely(size == 1)) { + return (unsigned char) PyByteArray_AS_STRING(c)[0]; + } +#endif + } else { + PyErr_Format(PyExc_TypeError, + "ord() expected string of length 1, but %.200s found", c->ob_type->tp_name); + return (long)(Py_UCS4)-1; + } + PyErr_Format(PyExc_TypeError, + "ord() expected a character, but string of length %zd found", size); + return (long)(Py_UCS4)-1; +} + +/* SetItemInt */ +static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) { + int r; + if (!j) return -1; + r = PyObject_SetItem(o, j, v); + Py_DECREF(j); + return r; +} +static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, + CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS + if (is_list || PyList_CheckExact(o)) { + Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o)); + if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o)))) { + PyObject* old = PyList_GET_ITEM(o, n); + Py_INCREF(v); + PyList_SET_ITEM(o, n, v); + Py_DECREF(old); + return 1; + } + } else { + PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; + if (likely(m && m->sq_ass_item)) { + if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { + Py_ssize_t l = m->sq_length(o); + if (likely(l >= 0)) { + i += l; + } else { + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) + return -1; + PyErr_Clear(); + } + } + return m->sq_ass_item(o, i, v); + } + } +#else +#if CYTHON_COMPILING_IN_PYPY + if (is_list || (PySequence_Check(o) && !PyDict_Check(o))) +#else + if (is_list || PySequence_Check(o)) +#endif + { + return PySequence_SetItem(o, i, v); + } +#endif + return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v); +} + +/* PyObjectGetMethod */ +static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method) { + PyObject *attr; +#if CYTHON_UNPACK_METHODS && CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_PYTYPE_LOOKUP + PyTypeObject *tp = Py_TYPE(obj); + PyObject *descr; + descrgetfunc f = NULL; + PyObject **dictptr, *dict; + int meth_found = 0; + assert (*method == NULL); + if (unlikely(tp->tp_getattro != PyObject_GenericGetAttr)) { + attr = __Pyx_PyObject_GetAttrStr(obj, name); + goto try_unpack; + } + if (unlikely(tp->tp_dict == NULL) && unlikely(PyType_Ready(tp) < 0)) { + return 0; + } + descr = _PyType_Lookup(tp, name); + if (likely(descr != NULL)) { + Py_INCREF(descr); +#if PY_MAJOR_VERSION >= 3 + #ifdef __Pyx_CyFunction_USED + if (likely(PyFunction_Check(descr) || (Py_TYPE(descr) == &PyMethodDescr_Type) || __Pyx_CyFunction_Check(descr))) + #else + if (likely(PyFunction_Check(descr) || (Py_TYPE(descr) == &PyMethodDescr_Type))) + #endif +#else + #ifdef __Pyx_CyFunction_USED + if (likely(PyFunction_Check(descr) || __Pyx_CyFunction_Check(descr))) + #else + if (likely(PyFunction_Check(descr))) + #endif +#endif + { + meth_found = 1; + } else { + f = Py_TYPE(descr)->tp_descr_get; + if (f != NULL && PyDescr_IsData(descr)) { + attr = f(descr, obj, (PyObject *)Py_TYPE(obj)); + Py_DECREF(descr); + goto try_unpack; + } + } + } + dictptr = _PyObject_GetDictPtr(obj); + if (dictptr != NULL && (dict = *dictptr) != NULL) { + Py_INCREF(dict); + attr = __Pyx_PyDict_GetItemStr(dict, name); + if (attr != NULL) { + Py_INCREF(attr); + Py_DECREF(dict); + Py_XDECREF(descr); + goto try_unpack; + } + Py_DECREF(dict); + } + if (meth_found) { + *method = descr; + return 1; + } + if (f != NULL) { + attr = f(descr, obj, (PyObject *)Py_TYPE(obj)); + Py_DECREF(descr); + goto try_unpack; + } + if (descr != NULL) { + *method = descr; + return 0; + } + PyErr_Format(PyExc_AttributeError, +#if PY_MAJOR_VERSION >= 3 + "'%.50s' object has no attribute '%U'", + tp->tp_name, name); +#else + "'%.50s' object has no attribute '%.400s'", + tp->tp_name, PyString_AS_STRING(name)); +#endif + return 0; +#else + attr = __Pyx_PyObject_GetAttrStr(obj, name); + goto try_unpack; +#endif +try_unpack: +#if CYTHON_UNPACK_METHODS + if (likely(attr) && PyMethod_Check(attr) && likely(PyMethod_GET_SELF(attr) == obj)) { + PyObject *function = PyMethod_GET_FUNCTION(attr); + Py_INCREF(function); + Py_DECREF(attr); + *method = function; + return 1; + } +#endif + *method = attr; + return 0; +} + +/* PyObjectCallMethod0 */ +static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) { + PyObject *method = NULL, *result = NULL; + int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method); + if (likely(is_method)) { + result = __Pyx_PyObject_CallOneArg(method, obj); + Py_DECREF(method); + return result; + } + if (unlikely(!method)) goto bad; + result = __Pyx_PyObject_CallNoArg(method); + Py_DECREF(method); +bad: + return result; +} + +/* RaiseNoneIterError */ +static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); +} + +/* UnpackTupleError */ +static void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) { + if (t == Py_None) { + __Pyx_RaiseNoneNotIterableError(); + } else if (PyTuple_GET_SIZE(t) < index) { + __Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t)); + } else { + __Pyx_RaiseTooManyValuesError(index); + } +} + +/* UnpackTuple2 */ +static CYTHON_INLINE int __Pyx_unpack_tuple2_exact( + PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2, int decref_tuple) { + PyObject *value1 = NULL, *value2 = NULL; +#if CYTHON_COMPILING_IN_PYPY + value1 = PySequence_ITEM(tuple, 0); if (unlikely(!value1)) goto bad; + value2 = PySequence_ITEM(tuple, 1); if (unlikely(!value2)) goto bad; +#else + value1 = PyTuple_GET_ITEM(tuple, 0); Py_INCREF(value1); + value2 = PyTuple_GET_ITEM(tuple, 1); Py_INCREF(value2); +#endif + if (decref_tuple) { + Py_DECREF(tuple); + } + *pvalue1 = value1; + *pvalue2 = value2; + return 0; +#if CYTHON_COMPILING_IN_PYPY +bad: + Py_XDECREF(value1); + Py_XDECREF(value2); + if (decref_tuple) { Py_XDECREF(tuple); } + return -1; +#endif +} +static int __Pyx_unpack_tuple2_generic(PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2, + int has_known_size, int decref_tuple) { + Py_ssize_t index; + PyObject *value1 = NULL, *value2 = NULL, *iter = NULL; + iternextfunc iternext; + iter = PyObject_GetIter(tuple); + if (unlikely(!iter)) goto bad; + if (decref_tuple) { Py_DECREF(tuple); tuple = NULL; } + iternext = Py_TYPE(iter)->tp_iternext; + value1 = iternext(iter); if (unlikely(!value1)) { index = 0; goto unpacking_failed; } + value2 = iternext(iter); if (unlikely(!value2)) { index = 1; goto unpacking_failed; } + if (!has_known_size && unlikely(__Pyx_IternextUnpackEndCheck(iternext(iter), 2))) goto bad; + Py_DECREF(iter); + *pvalue1 = value1; + *pvalue2 = value2; + return 0; +unpacking_failed: + if (!has_known_size && __Pyx_IterFinish() == 0) + __Pyx_RaiseNeedMoreValuesError(index); +bad: + Py_XDECREF(iter); + Py_XDECREF(value1); + Py_XDECREF(value2); + if (decref_tuple) { Py_XDECREF(tuple); } + return -1; +} + +/* dict_iter */ +static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* iterable, int is_dict, PyObject* method_name, + Py_ssize_t* p_orig_length, int* p_source_is_dict) { + is_dict = is_dict || likely(PyDict_CheckExact(iterable)); + *p_source_is_dict = is_dict; + if (is_dict) { +#if !CYTHON_COMPILING_IN_PYPY + *p_orig_length = PyDict_Size(iterable); + Py_INCREF(iterable); + return iterable; +#elif PY_MAJOR_VERSION >= 3 + static PyObject *py_items = NULL, *py_keys = NULL, *py_values = NULL; + PyObject **pp = NULL; + if (method_name) { + const char *name = PyUnicode_AsUTF8(method_name); + if (strcmp(name, "iteritems") == 0) pp = &py_items; + else if (strcmp(name, "iterkeys") == 0) pp = &py_keys; + else if (strcmp(name, "itervalues") == 0) pp = &py_values; + if (pp) { + if (!*pp) { + *pp = PyUnicode_FromString(name + 4); + if (!*pp) + return NULL; + } + method_name = *pp; + } + } +#endif + } + *p_orig_length = 0; + if (method_name) { + PyObject* iter; + iterable = __Pyx_PyObject_CallMethod0(iterable, method_name); + if (!iterable) + return NULL; +#if !CYTHON_COMPILING_IN_PYPY + if (PyTuple_CheckExact(iterable) || PyList_CheckExact(iterable)) + return iterable; +#endif + iter = PyObject_GetIter(iterable); + Py_DECREF(iterable); + return iter; + } + return PyObject_GetIter(iterable); +} +static CYTHON_INLINE int __Pyx_dict_iter_next( + PyObject* iter_obj, CYTHON_NCP_UNUSED Py_ssize_t orig_length, CYTHON_NCP_UNUSED Py_ssize_t* ppos, + PyObject** pkey, PyObject** pvalue, PyObject** pitem, int source_is_dict) { + PyObject* next_item; +#if !CYTHON_COMPILING_IN_PYPY + if (source_is_dict) { + PyObject *key, *value; + if (unlikely(orig_length != PyDict_Size(iter_obj))) { + PyErr_SetString(PyExc_RuntimeError, "dictionary changed size during iteration"); + return -1; + } + if (unlikely(!PyDict_Next(iter_obj, ppos, &key, &value))) { + return 0; + } + if (pitem) { + PyObject* tuple = PyTuple_New(2); + if (unlikely(!tuple)) { + return -1; + } + Py_INCREF(key); + Py_INCREF(value); + PyTuple_SET_ITEM(tuple, 0, key); + PyTuple_SET_ITEM(tuple, 1, value); + *pitem = tuple; + } else { + if (pkey) { + Py_INCREF(key); + *pkey = key; + } + if (pvalue) { + Py_INCREF(value); + *pvalue = value; + } + } + return 1; + } else if (PyTuple_CheckExact(iter_obj)) { + Py_ssize_t pos = *ppos; + if (unlikely(pos >= PyTuple_GET_SIZE(iter_obj))) return 0; + *ppos = pos + 1; + next_item = PyTuple_GET_ITEM(iter_obj, pos); + Py_INCREF(next_item); + } else if (PyList_CheckExact(iter_obj)) { + Py_ssize_t pos = *ppos; + if (unlikely(pos >= PyList_GET_SIZE(iter_obj))) return 0; + *ppos = pos + 1; + next_item = PyList_GET_ITEM(iter_obj, pos); + Py_INCREF(next_item); + } else +#endif + { + next_item = PyIter_Next(iter_obj); + if (unlikely(!next_item)) { + return __Pyx_IterFinish(); + } + } + if (pitem) { + *pitem = next_item; + } else if (pkey && pvalue) { + if (__Pyx_unpack_tuple2(next_item, pkey, pvalue, source_is_dict, source_is_dict, 1)) + return -1; + } else if (pkey) { + *pkey = next_item; + } else { + *pvalue = next_item; + } + return 1; +} + +/* ExtTypeTest */ +static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { + if (unlikely(!type)) { + PyErr_SetString(PyExc_SystemError, "Missing type object"); + return 0; + } + if (likely(__Pyx_TypeCheck(obj, type))) + return 1; + PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", + Py_TYPE(obj)->tp_name, type->tp_name); + return 0; +} + +/* IsLittleEndian */ +static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) +{ + union { + uint32_t u32; + uint8_t u8[4]; + } S; + S.u32 = 0x01020304; + return S.u8[0] == 4; +} + +/* BufferFormatCheck */ +static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, + __Pyx_BufFmt_StackElem* stack, + __Pyx_TypeInfo* type) { + stack[0].field = &ctx->root; + stack[0].parent_offset = 0; + ctx->root.type = type; + ctx->root.name = "buffer dtype"; + ctx->root.offset = 0; + ctx->head = stack; + ctx->head->field = &ctx->root; + ctx->fmt_offset = 0; + ctx->head->parent_offset = 0; + ctx->new_packmode = '@'; + ctx->enc_packmode = '@'; + ctx->new_count = 1; + ctx->enc_count = 0; + ctx->enc_type = 0; + ctx->is_complex = 0; + ctx->is_valid_array = 0; + ctx->struct_alignment = 0; + while (type->typegroup == 'S') { + ++ctx->head; + ctx->head->field = type->fields; + ctx->head->parent_offset = 0; + type = type->fields->type; + } +} +static int __Pyx_BufFmt_ParseNumber(const char** ts) { + int count; + const char* t = *ts; + if (*t < '0' || *t > '9') { + return -1; + } else { + count = *t++ - '0'; + while (*t >= '0' && *t <= '9') { + count *= 10; + count += *t++ - '0'; + } + } + *ts = t; + return count; +} +static int __Pyx_BufFmt_ExpectNumber(const char **ts) { + int number = __Pyx_BufFmt_ParseNumber(ts); + if (number == -1) + PyErr_Format(PyExc_ValueError,\ + "Does not understand character buffer dtype format string ('%c')", **ts); + return number; +} +static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { + PyErr_Format(PyExc_ValueError, + "Unexpected format string character: '%c'", ch); +} +static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { + switch (ch) { + case '?': return "'bool'"; + case 'c': return "'char'"; + case 'b': return "'signed char'"; + case 'B': return "'unsigned char'"; + case 'h': return "'short'"; + case 'H': return "'unsigned short'"; + case 'i': return "'int'"; + case 'I': return "'unsigned int'"; + case 'l': return "'long'"; + case 'L': return "'unsigned long'"; + case 'q': return "'long long'"; + case 'Q': return "'unsigned long long'"; + case 'f': return (is_complex ? "'complex float'" : "'float'"); + case 'd': return (is_complex ? "'complex double'" : "'double'"); + case 'g': return (is_complex ? "'complex long double'" : "'long double'"); + case 'T': return "a struct"; + case 'O': return "Python object"; + case 'P': return "a pointer"; + case 's': case 'p': return "a string"; + case 0: return "end"; + default: return "unparseable format string"; + } +} +static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return 2; + case 'i': case 'I': case 'l': case 'L': return 4; + case 'q': case 'Q': return 8; + case 'f': return (is_complex ? 8 : 4); + case 'd': return (is_complex ? 16 : 8); + case 'g': { + PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); + return 0; + } + case 'O': case 'P': return sizeof(void*); + default: + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } +} +static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return sizeof(short); + case 'i': case 'I': return sizeof(int); + case 'l': case 'L': return sizeof(long); + #ifdef HAVE_LONG_LONG + case 'q': case 'Q': return sizeof(PY_LONG_LONG); + #endif + case 'f': return sizeof(float) * (is_complex ? 2 : 1); + case 'd': return sizeof(double) * (is_complex ? 2 : 1); + case 'g': return sizeof(long double) * (is_complex ? 2 : 1); + case 'O': case 'P': return sizeof(void*); + default: { + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } + } +} +typedef struct { char c; short x; } __Pyx_st_short; +typedef struct { char c; int x; } __Pyx_st_int; +typedef struct { char c; long x; } __Pyx_st_long; +typedef struct { char c; float x; } __Pyx_st_float; +typedef struct { char c; double x; } __Pyx_st_double; +typedef struct { char c; long double x; } __Pyx_st_longdouble; +typedef struct { char c; void *x; } __Pyx_st_void_p; +#ifdef HAVE_LONG_LONG +typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; +#endif +static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); + case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); + case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); +#ifdef HAVE_LONG_LONG + case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); +#endif + case 'f': return sizeof(__Pyx_st_float) - sizeof(float); + case 'd': return sizeof(__Pyx_st_double) - sizeof(double); + case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); + case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); + default: + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } +} +/* These are for computing the padding at the end of the struct to align + on the first member of the struct. This will probably the same as above, + but we don't have any guarantees. + */ +typedef struct { short x; char c; } __Pyx_pad_short; +typedef struct { int x; char c; } __Pyx_pad_int; +typedef struct { long x; char c; } __Pyx_pad_long; +typedef struct { float x; char c; } __Pyx_pad_float; +typedef struct { double x; char c; } __Pyx_pad_double; +typedef struct { long double x; char c; } __Pyx_pad_longdouble; +typedef struct { void *x; char c; } __Pyx_pad_void_p; +#ifdef HAVE_LONG_LONG +typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; +#endif +static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); + case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); + case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); +#ifdef HAVE_LONG_LONG + case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); +#endif + case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); + case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); + case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); + case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); + default: + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } +} +static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { + switch (ch) { + case 'c': + return 'H'; + case 'b': case 'h': case 'i': + case 'l': case 'q': case 's': case 'p': + return 'I'; + case '?': case 'B': case 'H': case 'I': case 'L': case 'Q': + return 'U'; + case 'f': case 'd': case 'g': + return (is_complex ? 'C' : 'R'); + case 'O': + return 'O'; + case 'P': + return 'P'; + default: { + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } + } +} +static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { + if (ctx->head == NULL || ctx->head->field == &ctx->root) { + const char* expected; + const char* quote; + if (ctx->head == NULL) { + expected = "end"; + quote = ""; + } else { + expected = ctx->head->field->type->name; + quote = "'"; + } + PyErr_Format(PyExc_ValueError, + "Buffer dtype mismatch, expected %s%s%s but got %s", + quote, expected, quote, + __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); + } else { + __Pyx_StructField* field = ctx->head->field; + __Pyx_StructField* parent = (ctx->head - 1)->field; + PyErr_Format(PyExc_ValueError, + "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", + field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), + parent->type->name, field->name); + } +} +static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { + char group; + size_t size, offset, arraysize = 1; + if (ctx->enc_type == 0) return 0; + if (ctx->head->field->type->arraysize[0]) { + int i, ndim = 0; + if (ctx->enc_type == 's' || ctx->enc_type == 'p') { + ctx->is_valid_array = ctx->head->field->type->ndim == 1; + ndim = 1; + if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { + PyErr_Format(PyExc_ValueError, + "Expected a dimension of size %zu, got %zu", + ctx->head->field->type->arraysize[0], ctx->enc_count); + return -1; + } + } + if (!ctx->is_valid_array) { + PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", + ctx->head->field->type->ndim, ndim); + return -1; + } + for (i = 0; i < ctx->head->field->type->ndim; i++) { + arraysize *= ctx->head->field->type->arraysize[i]; + } + ctx->is_valid_array = 0; + ctx->enc_count = 1; + } + group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); + do { + __Pyx_StructField* field = ctx->head->field; + __Pyx_TypeInfo* type = field->type; + if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { + size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); + } else { + size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); + } + if (ctx->enc_packmode == '@') { + size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); + size_t align_mod_offset; + if (align_at == 0) return -1; + align_mod_offset = ctx->fmt_offset % align_at; + if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; + if (ctx->struct_alignment == 0) + ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, + ctx->is_complex); + } + if (type->size != size || type->typegroup != group) { + if (type->typegroup == 'C' && type->fields != NULL) { + size_t parent_offset = ctx->head->parent_offset + field->offset; + ++ctx->head; + ctx->head->field = type->fields; + ctx->head->parent_offset = parent_offset; + continue; + } + if ((type->typegroup == 'H' || group == 'H') && type->size == size) { + } else { + __Pyx_BufFmt_RaiseExpected(ctx); + return -1; + } + } + offset = ctx->head->parent_offset + field->offset; + if (ctx->fmt_offset != offset) { + PyErr_Format(PyExc_ValueError, + "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", + (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); + return -1; + } + ctx->fmt_offset += size; + if (arraysize) + ctx->fmt_offset += (arraysize - 1) * size; + --ctx->enc_count; + while (1) { + if (field == &ctx->root) { + ctx->head = NULL; + if (ctx->enc_count != 0) { + __Pyx_BufFmt_RaiseExpected(ctx); + return -1; + } + break; + } + ctx->head->field = ++field; + if (field->type == NULL) { + --ctx->head; + field = ctx->head->field; + continue; + } else if (field->type->typegroup == 'S') { + size_t parent_offset = ctx->head->parent_offset + field->offset; + if (field->type->fields->type == NULL) continue; + field = field->type->fields; + ++ctx->head; + ctx->head->field = field; + ctx->head->parent_offset = parent_offset; + break; + } else { + break; + } + } + } while (ctx->enc_count); + ctx->enc_type = 0; + ctx->is_complex = 0; + return 0; +} +static PyObject * +__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) +{ + const char *ts = *tsp; + int i = 0, number, ndim; + ++ts; + if (ctx->new_count != 1) { + PyErr_SetString(PyExc_ValueError, + "Cannot handle repeated arrays in format string"); + return NULL; + } + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ndim = ctx->head->field->type->ndim; + while (*ts && *ts != ')') { + switch (*ts) { + case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; + default: break; + } + number = __Pyx_BufFmt_ExpectNumber(&ts); + if (number == -1) return NULL; + if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) + return PyErr_Format(PyExc_ValueError, + "Expected a dimension of size %zu, got %d", + ctx->head->field->type->arraysize[i], number); + if (*ts != ',' && *ts != ')') + return PyErr_Format(PyExc_ValueError, + "Expected a comma in format string, got '%c'", *ts); + if (*ts == ',') ts++; + i++; + } + if (i != ndim) + return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", + ctx->head->field->type->ndim, i); + if (!*ts) { + PyErr_SetString(PyExc_ValueError, + "Unexpected end of format string, expected ')'"); + return NULL; + } + ctx->is_valid_array = 1; + ctx->new_count = 1; + *tsp = ++ts; + return Py_None; +} +static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { + int got_Z = 0; + while (1) { + switch(*ts) { + case 0: + if (ctx->enc_type != 0 && ctx->head == NULL) { + __Pyx_BufFmt_RaiseExpected(ctx); + return NULL; + } + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + if (ctx->head != NULL) { + __Pyx_BufFmt_RaiseExpected(ctx); + return NULL; + } + return ts; + case ' ': + case '\r': + case '\n': + ++ts; + break; + case '<': + if (!__Pyx_Is_Little_Endian()) { + PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); + return NULL; + } + ctx->new_packmode = '='; + ++ts; + break; + case '>': + case '!': + if (__Pyx_Is_Little_Endian()) { + PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); + return NULL; + } + ctx->new_packmode = '='; + ++ts; + break; + case '=': + case '@': + case '^': + ctx->new_packmode = *ts++; + break; + case 'T': + { + const char* ts_after_sub; + size_t i, struct_count = ctx->new_count; + size_t struct_alignment = ctx->struct_alignment; + ctx->new_count = 1; + ++ts; + if (*ts != '{') { + PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); + return NULL; + } + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->enc_type = 0; + ctx->enc_count = 0; + ctx->struct_alignment = 0; + ++ts; + ts_after_sub = ts; + for (i = 0; i != struct_count; ++i) { + ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); + if (!ts_after_sub) return NULL; + } + ts = ts_after_sub; + if (struct_alignment) ctx->struct_alignment = struct_alignment; + } + break; + case '}': + { + size_t alignment = ctx->struct_alignment; + ++ts; + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->enc_type = 0; + if (alignment && ctx->fmt_offset % alignment) { + ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); + } + } + return ts; + case 'x': + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->fmt_offset += ctx->new_count; + ctx->new_count = 1; + ctx->enc_count = 0; + ctx->enc_type = 0; + ctx->enc_packmode = ctx->new_packmode; + ++ts; + break; + case 'Z': + got_Z = 1; + ++ts; + if (*ts != 'f' && *ts != 'd' && *ts != 'g') { + __Pyx_BufFmt_RaiseUnexpectedChar('Z'); + return NULL; + } + CYTHON_FALLTHROUGH; + case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': + case 'l': case 'L': case 'q': case 'Q': + case 'f': case 'd': case 'g': + case 'O': case 'p': + if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) && + (ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) { + ctx->enc_count += ctx->new_count; + ctx->new_count = 1; + got_Z = 0; + ++ts; + break; + } + CYTHON_FALLTHROUGH; + case 's': + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->enc_count = ctx->new_count; + ctx->enc_packmode = ctx->new_packmode; + ctx->enc_type = *ts; + ctx->is_complex = got_Z; + ++ts; + ctx->new_count = 1; + got_Z = 0; + break; + case ':': + ++ts; + while(*ts != ':') ++ts; + ++ts; + break; + case '(': + if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; + break; + default: + { + int number = __Pyx_BufFmt_ExpectNumber(&ts); + if (number == -1) return NULL; + ctx->new_count = (size_t)number; + } + } + } +} + +/* BufferGetAndValidate */ + static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) { + if (unlikely(info->buf == NULL)) return; + if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL; + __Pyx_ReleaseBuffer(info); +} +static void __Pyx_ZeroBuffer(Py_buffer* buf) { + buf->buf = NULL; + buf->obj = NULL; + buf->strides = __Pyx_zeros; + buf->shape = __Pyx_zeros; + buf->suboffsets = __Pyx_minusones; +} +static int __Pyx__GetBufferAndValidate( + Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, + int nd, int cast, __Pyx_BufFmt_StackElem* stack) +{ + buf->buf = NULL; + if (unlikely(__Pyx_GetBuffer(obj, buf, flags) == -1)) { + __Pyx_ZeroBuffer(buf); + return -1; + } + if (unlikely(buf->ndim != nd)) { + PyErr_Format(PyExc_ValueError, + "Buffer has wrong number of dimensions (expected %d, got %d)", + nd, buf->ndim); + goto fail; + } + if (!cast) { + __Pyx_BufFmt_Context ctx; + __Pyx_BufFmt_Init(&ctx, stack, dtype); + if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; + } + if (unlikely((size_t)buf->itemsize != dtype->size)) { + PyErr_Format(PyExc_ValueError, + "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)", + buf->itemsize, (buf->itemsize > 1) ? "s" : "", + dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : ""); + goto fail; + } + if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones; + return 0; +fail:; + __Pyx_SafeReleaseBuffer(buf); + return -1; +} + +/* PyIntBinop */ + #if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) { + (void)inplace; + (void)zerodivision_check; + #if PY_MAJOR_VERSION < 3 + if (likely(PyInt_CheckExact(op1))) { + const long b = intval; + long x; + long a = PyInt_AS_LONG(op1); + x = (long)((unsigned long)a + b); + if (likely((x^a) >= 0 || (x^b) >= 0)) + return PyInt_FromLong(x); + return PyLong_Type.tp_as_number->nb_add(op1, op2); + } + #endif + #if CYTHON_USE_PYLONG_INTERNALS + if (likely(PyLong_CheckExact(op1))) { + const long b = intval; + long a, x; +#ifdef HAVE_LONG_LONG + const PY_LONG_LONG llb = intval; + PY_LONG_LONG lla, llx; +#endif + const digit* digits = ((PyLongObject*)op1)->ob_digit; + const Py_ssize_t size = Py_SIZE(op1); + if (likely(__Pyx_sst_abs(size) <= 1)) { + a = likely(size) ? digits[0] : 0; + if (size == -1) a = -a; + } else { + switch (size) { + case -2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + default: return PyLong_Type.tp_as_number->nb_add(op1, op2); + } + } + x = a + b; + return PyLong_FromLong(x); +#ifdef HAVE_LONG_LONG + long_long: + llx = lla + llb; + return PyLong_FromLongLong(llx); +#endif + + + } + #endif + if (PyFloat_CheckExact(op1)) { + const long b = intval; + double a = PyFloat_AS_DOUBLE(op1); + double result; + PyFPE_START_PROTECT("add", return NULL) + result = ((double)a) + (double)b; + PyFPE_END_PROTECT(result) + return PyFloat_FromDouble(result); + } + return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2); +} +#endif + +/* None */ + static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { + PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); +} + +/* None */ + static void __Pyx_RaiseUnboundMemoryviewSliceNogil(const char *varname) { + #ifdef WITH_THREAD + PyGILState_STATE gilstate = PyGILState_Ensure(); + #endif + __Pyx_RaiseUnboundLocalError(varname); + #ifdef WITH_THREAD + PyGILState_Release(gilstate); + #endif +} + +/* CIntToDigits */ + static const char DIGIT_PAIRS_10[2*10*10+1] = { + "00010203040506070809" + "10111213141516171819" + "20212223242526272829" + "30313233343536373839" + "40414243444546474849" + "50515253545556575859" + "60616263646566676869" + "70717273747576777879" + "80818283848586878889" + "90919293949596979899" +}; +static const char DIGIT_PAIRS_8[2*8*8+1] = { + "0001020304050607" + "1011121314151617" + "2021222324252627" + "3031323334353637" + "4041424344454647" + "5051525354555657" + "6061626364656667" + "7071727374757677" +}; +static const char DIGITS_HEX[2*16+1] = { + "0123456789abcdef" + "0123456789ABCDEF" +}; + +/* BuildPyUnicode */ + static PyObject* __Pyx_PyUnicode_BuildFromAscii(Py_ssize_t ulength, char* chars, int clength, + int prepend_sign, char padding_char) { + PyObject *uval; + Py_ssize_t uoffset = ulength - clength; +#if CYTHON_USE_UNICODE_INTERNALS + Py_ssize_t i; +#if CYTHON_PEP393_ENABLED + void *udata; + uval = PyUnicode_New(ulength, 127); + if (unlikely(!uval)) return NULL; + udata = PyUnicode_DATA(uval); +#else + Py_UNICODE *udata; + uval = PyUnicode_FromUnicode(NULL, ulength); + if (unlikely(!uval)) return NULL; + udata = PyUnicode_AS_UNICODE(uval); +#endif + if (uoffset > 0) { + i = 0; + if (prepend_sign) { + __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, 0, '-'); + i++; + } + for (; i < uoffset; i++) { + __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, i, padding_char); + } + } + for (i=0; i < clength; i++) { + __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, uoffset+i, chars[i]); + } +#else + { + PyObject *sign = NULL, *padding = NULL; + uval = NULL; + if (uoffset > 0) { + prepend_sign = !!prepend_sign; + if (uoffset > prepend_sign) { + padding = PyUnicode_FromOrdinal(padding_char); + if (likely(padding) && uoffset > prepend_sign + 1) { + PyObject *tmp; + PyObject *repeat = PyInt_FromSize_t(uoffset - prepend_sign); + if (unlikely(!repeat)) goto done_or_error; + tmp = PyNumber_Multiply(padding, repeat); + Py_DECREF(repeat); + Py_DECREF(padding); + padding = tmp; + } + if (unlikely(!padding)) goto done_or_error; + } + if (prepend_sign) { + sign = PyUnicode_FromOrdinal('-'); + if (unlikely(!sign)) goto done_or_error; + } + } + uval = PyUnicode_DecodeASCII(chars, clength, NULL); + if (likely(uval) && padding) { + PyObject *tmp = PyNumber_Add(padding, uval); + Py_DECREF(uval); + uval = tmp; + } + if (likely(uval) && sign) { + PyObject *tmp = PyNumber_Add(sign, uval); + Py_DECREF(uval); + uval = tmp; + } +done_or_error: + Py_XDECREF(padding); + Py_XDECREF(sign); + } +#endif + return uval; +} + +/* CIntToPyUnicode */ + #ifdef _MSC_VER + #ifndef _MSC_STDINT_H_ + #if _MSC_VER < 1300 + typedef unsigned short uint16_t; + #else + typedef unsigned __int16 uint16_t; + #endif + #endif +#else + #include +#endif +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char, char format_char) { + char digits[sizeof(int)*3+2]; + char *dpos, *end = digits + sizeof(int)*3+2; + const char *hex_digits = DIGITS_HEX; + Py_ssize_t length, ulength; + int prepend_sign, last_one_off; + int remaining; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const int neg_one = (int) -1, const_zero = (int) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (format_char == 'X') { + hex_digits += 16; + format_char = 'x'; + } + remaining = value; + last_one_off = 0; + dpos = end; + do { + int digit_pos; + switch (format_char) { + case 'o': + digit_pos = abs((int)(remaining % (8*8))); + remaining = (int) (remaining / (8*8)); + dpos -= 2; + *(uint16_t*)dpos = ((const uint16_t*)DIGIT_PAIRS_8)[digit_pos]; + last_one_off = (digit_pos < 8); + break; + case 'd': + digit_pos = abs((int)(remaining % (10*10))); + remaining = (int) (remaining / (10*10)); + dpos -= 2; + *(uint16_t*)dpos = ((const uint16_t*)DIGIT_PAIRS_10)[digit_pos]; + last_one_off = (digit_pos < 10); + break; + case 'x': + *(--dpos) = hex_digits[abs((int)(remaining % 16))]; + remaining = (int) (remaining / 16); + break; + default: + assert(0); + break; + } + } while (unlikely(remaining != 0)); + if (last_one_off) { + assert(*dpos == '0'); + dpos++; + } + length = end - dpos; + ulength = length; + prepend_sign = 0; + if (!is_unsigned && value <= neg_one) { + if (padding_char == ' ' || width <= length + 1) { + *(--dpos) = '-'; + ++length; + } else { + prepend_sign = 1; + } + ++ulength; + } + if (width > ulength) { + ulength = width; + } + if (ulength == 1) { + return PyUnicode_FromOrdinal(*dpos); + } + return __Pyx_PyUnicode_BuildFromAscii(ulength, dpos, (int) length, prepend_sign, padding_char); +} + +/* PyObjectFormat */ + #if CYTHON_USE_UNICODE_WRITER +static PyObject* __Pyx_PyObject_Format(PyObject* obj, PyObject* format_spec) { + int ret; + _PyUnicodeWriter writer; + if (likely(PyFloat_CheckExact(obj))) { +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x03040000 + _PyUnicodeWriter_Init(&writer, 0); +#else + _PyUnicodeWriter_Init(&writer); +#endif + ret = _PyFloat_FormatAdvancedWriter( + &writer, + obj, + format_spec, 0, PyUnicode_GET_LENGTH(format_spec)); + } else if (likely(PyLong_CheckExact(obj))) { +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x03040000 + _PyUnicodeWriter_Init(&writer, 0); +#else + _PyUnicodeWriter_Init(&writer); +#endif + ret = _PyLong_FormatAdvancedWriter( + &writer, + obj, + format_spec, 0, PyUnicode_GET_LENGTH(format_spec)); + } else { + return PyObject_Format(obj, format_spec); + } + if (unlikely(ret == -1)) { + _PyUnicodeWriter_Dealloc(&writer); + return NULL; + } + return _PyUnicodeWriter_Finish(&writer); +} +#endif + +/* JoinPyUnicode */ + static PyObject* __Pyx_PyUnicode_Join(PyObject* value_tuple, Py_ssize_t value_count, Py_ssize_t result_ulength, + CYTHON_UNUSED Py_UCS4 max_char) { +#if CYTHON_USE_UNICODE_INTERNALS && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + PyObject *result_uval; + int result_ukind; + Py_ssize_t i, char_pos; + void *result_udata; +#if CYTHON_PEP393_ENABLED + result_uval = PyUnicode_New(result_ulength, max_char); + if (unlikely(!result_uval)) return NULL; + result_ukind = (max_char <= 255) ? PyUnicode_1BYTE_KIND : (max_char <= 65535) ? PyUnicode_2BYTE_KIND : PyUnicode_4BYTE_KIND; + result_udata = PyUnicode_DATA(result_uval); +#else + result_uval = PyUnicode_FromUnicode(NULL, result_ulength); + if (unlikely(!result_uval)) return NULL; + result_ukind = sizeof(Py_UNICODE); + result_udata = PyUnicode_AS_UNICODE(result_uval); +#endif + char_pos = 0; + for (i=0; i < value_count; i++) { + int ukind; + Py_ssize_t ulength; + void *udata; + PyObject *uval = PyTuple_GET_ITEM(value_tuple, i); + if (unlikely(__Pyx_PyUnicode_READY(uval))) + goto bad; + ulength = __Pyx_PyUnicode_GET_LENGTH(uval); + if (unlikely(!ulength)) + continue; + if (unlikely(char_pos + ulength < 0)) + goto overflow; + ukind = __Pyx_PyUnicode_KIND(uval); + udata = __Pyx_PyUnicode_DATA(uval); + if (!CYTHON_PEP393_ENABLED || ukind == result_ukind) { + memcpy((char *)result_udata + char_pos * result_ukind, udata, (size_t) (ulength * result_ukind)); + } else { + #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030300F0 || defined(_PyUnicode_FastCopyCharacters) + _PyUnicode_FastCopyCharacters(result_uval, char_pos, uval, 0, ulength); + #else + Py_ssize_t j; + for (j=0; j < ulength; j++) { + Py_UCS4 uchar = __Pyx_PyUnicode_READ(ukind, udata, j); + __Pyx_PyUnicode_WRITE(result_ukind, result_udata, char_pos+j, uchar); + } + #endif + } + char_pos += ulength; + } + return result_uval; +overflow: + PyErr_SetString(PyExc_OverflowError, "join() result is too long for a Python string"); +bad: + Py_DECREF(result_uval); + return NULL; +#else + result_ulength++; + value_count++; + return PyUnicode_Join(__pyx_empty_unicode, value_tuple); +#endif +} + +/* MemviewSliceInit */ + static int +__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, + int ndim, + __Pyx_memviewslice *memviewslice, + int memview_is_new_reference) +{ + __Pyx_RefNannyDeclarations + int i, retval=-1; + Py_buffer *buf = &memview->view; + __Pyx_RefNannySetupContext("init_memviewslice", 0); + if (unlikely(memviewslice->memview || memviewslice->data)) { + PyErr_SetString(PyExc_ValueError, + "memviewslice is already initialized!"); + goto fail; + } + if (buf->strides) { + for (i = 0; i < ndim; i++) { + memviewslice->strides[i] = buf->strides[i]; + } + } else { + Py_ssize_t stride = buf->itemsize; + for (i = ndim - 1; i >= 0; i--) { + memviewslice->strides[i] = stride; + stride *= buf->shape[i]; + } + } + for (i = 0; i < ndim; i++) { + memviewslice->shape[i] = buf->shape[i]; + if (buf->suboffsets) { + memviewslice->suboffsets[i] = buf->suboffsets[i]; + } else { + memviewslice->suboffsets[i] = -1; + } + } + memviewslice->memview = memview; + memviewslice->data = (char *)buf->buf; + if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { + Py_INCREF(memview); + } + retval = 0; + goto no_fail; +fail: + memviewslice->memview = 0; + memviewslice->data = 0; + retval = -1; +no_fail: + __Pyx_RefNannyFinishContext(); + return retval; +} +#ifndef Py_NO_RETURN +#define Py_NO_RETURN +#endif +static void __pyx_fatalerror(const char *fmt, ...) Py_NO_RETURN { + va_list vargs; + char msg[200]; +#ifdef HAVE_STDARG_PROTOTYPES + va_start(vargs, fmt); +#else + va_start(vargs); +#endif + vsnprintf(msg, 200, fmt, vargs); + va_end(vargs); + Py_FatalError(msg); +} +static CYTHON_INLINE int +__pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count, + PyThread_type_lock lock) +{ + int result; + PyThread_acquire_lock(lock, 1); + result = (*acquisition_count)++; + PyThread_release_lock(lock); + return result; +} +static CYTHON_INLINE int +__pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count, + PyThread_type_lock lock) +{ + int result; + PyThread_acquire_lock(lock, 1); + result = (*acquisition_count)--; + PyThread_release_lock(lock); + return result; +} +static CYTHON_INLINE void +__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) +{ + int first_time; + struct __pyx_memoryview_obj *memview = memslice->memview; + if (unlikely(!memview || (PyObject *) memview == Py_None)) + return; + if (unlikely(__pyx_get_slice_count(memview) < 0)) + __pyx_fatalerror("Acquisition count is %d (line %d)", + __pyx_get_slice_count(memview), lineno); + first_time = __pyx_add_acquisition_count(memview) == 0; + if (unlikely(first_time)) { + if (have_gil) { + Py_INCREF((PyObject *) memview); + } else { + PyGILState_STATE _gilstate = PyGILState_Ensure(); + Py_INCREF((PyObject *) memview); + PyGILState_Release(_gilstate); + } + } +} +static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice, + int have_gil, int lineno) { + int last_time; + struct __pyx_memoryview_obj *memview = memslice->memview; + if (unlikely(!memview || (PyObject *) memview == Py_None)) { + memslice->memview = NULL; + return; + } + if (unlikely(__pyx_get_slice_count(memview) <= 0)) + __pyx_fatalerror("Acquisition count is %d (line %d)", + __pyx_get_slice_count(memview), lineno); + last_time = __pyx_sub_acquisition_count(memview) == 1; + memslice->data = NULL; + if (unlikely(last_time)) { + if (have_gil) { + Py_CLEAR(memslice->memview); + } else { + PyGILState_STATE _gilstate = PyGILState_Ensure(); + Py_CLEAR(memslice->memview); + PyGILState_Release(_gilstate); + } + } else { + memslice->memview = NULL; + } +} + +/* PyObjectCallMethod1 */ + static PyObject* __Pyx__PyObject_CallMethod1(PyObject* method, PyObject* arg) { + PyObject *result = __Pyx_PyObject_CallOneArg(method, arg); + Py_DECREF(method); + return result; +} +static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg) { + PyObject *method = NULL, *result; + int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method); + if (likely(is_method)) { + result = __Pyx_PyObject_Call2Args(method, obj, arg); + Py_DECREF(method); + return result; + } + if (unlikely(!method)) return NULL; + return __Pyx__PyObject_CallMethod1(method, arg); +} + +/* append */ + static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x) { + if (likely(PyList_CheckExact(L))) { + if (unlikely(__Pyx_PyList_Append(L, x) < 0)) return -1; + } else { + PyObject* retval = __Pyx_PyObject_CallMethod1(L, __pyx_n_s_append, x); + if (unlikely(!retval)) + return -1; + Py_DECREF(retval); + } + return 0; +} + +/* SliceObject */ + static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(PyObject* obj, + Py_ssize_t cstart, Py_ssize_t cstop, + PyObject** _py_start, PyObject** _py_stop, PyObject** _py_slice, + int has_cstart, int has_cstop, CYTHON_UNUSED int wraparound) { +#if CYTHON_USE_TYPE_SLOTS + PyMappingMethods* mp; +#if PY_MAJOR_VERSION < 3 + PySequenceMethods* ms = Py_TYPE(obj)->tp_as_sequence; + if (likely(ms && ms->sq_slice)) { + if (!has_cstart) { + if (_py_start && (*_py_start != Py_None)) { + cstart = __Pyx_PyIndex_AsSsize_t(*_py_start); + if ((cstart == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad; + } else + cstart = 0; + } + if (!has_cstop) { + if (_py_stop && (*_py_stop != Py_None)) { + cstop = __Pyx_PyIndex_AsSsize_t(*_py_stop); + if ((cstop == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad; + } else + cstop = PY_SSIZE_T_MAX; + } + if (wraparound && unlikely((cstart < 0) | (cstop < 0)) && likely(ms->sq_length)) { + Py_ssize_t l = ms->sq_length(obj); + if (likely(l >= 0)) { + if (cstop < 0) { + cstop += l; + if (cstop < 0) cstop = 0; + } + if (cstart < 0) { + cstart += l; + if (cstart < 0) cstart = 0; + } + } else { + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) + goto bad; + PyErr_Clear(); + } + } + return ms->sq_slice(obj, cstart, cstop); + } +#endif + mp = Py_TYPE(obj)->tp_as_mapping; + if (likely(mp && mp->mp_subscript)) +#endif + { + PyObject* result; + PyObject *py_slice, *py_start, *py_stop; + if (_py_slice) { + py_slice = *_py_slice; + } else { + PyObject* owned_start = NULL; + PyObject* owned_stop = NULL; + if (_py_start) { + py_start = *_py_start; + } else { + if (has_cstart) { + owned_start = py_start = PyInt_FromSsize_t(cstart); + if (unlikely(!py_start)) goto bad; + } else + py_start = Py_None; + } + if (_py_stop) { + py_stop = *_py_stop; + } else { + if (has_cstop) { + owned_stop = py_stop = PyInt_FromSsize_t(cstop); + if (unlikely(!py_stop)) { + Py_XDECREF(owned_start); + goto bad; + } + } else + py_stop = Py_None; + } + py_slice = PySlice_New(py_start, py_stop, Py_None); + Py_XDECREF(owned_start); + Py_XDECREF(owned_stop); + if (unlikely(!py_slice)) goto bad; + } +#if CYTHON_USE_TYPE_SLOTS + result = mp->mp_subscript(obj, py_slice); +#else + result = PyObject_GetItem(obj, py_slice); +#endif + if (!_py_slice) { + Py_DECREF(py_slice); + } + return result; + } + PyErr_Format(PyExc_TypeError, + "'%.200s' object is unsliceable", Py_TYPE(obj)->tp_name); +bad: + return NULL; +} + +/* PyObjectFormatAndDecref */ + static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatSimpleAndDecref(PyObject* s, PyObject* f) { + if (unlikely(!s)) return NULL; + if (likely(PyUnicode_CheckExact(s))) return s; + #if PY_MAJOR_VERSION < 3 + if (likely(PyString_CheckExact(s))) { + PyObject *result = PyUnicode_FromEncodedObject(s, NULL, "strict"); + Py_DECREF(s); + return result; + } + #endif + return __Pyx_PyObject_FormatAndDecref(s, f); +} +static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatAndDecref(PyObject* s, PyObject* f) { + PyObject *result = PyObject_Format(s, f); + Py_DECREF(s); + return result; +} + +/* CIntToPyUnicode */ + #ifdef _MSC_VER + #ifndef _MSC_STDINT_H_ + #if _MSC_VER < 1300 + typedef unsigned short uint16_t; + #else + typedef unsigned __int16 uint16_t; + #endif + #endif +#else + #include +#endif +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char, char format_char) { + char digits[sizeof(Py_ssize_t)*3+2]; + char *dpos, *end = digits + sizeof(Py_ssize_t)*3+2; + const char *hex_digits = DIGITS_HEX; + Py_ssize_t length, ulength; + int prepend_sign, last_one_off; + Py_ssize_t remaining; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const Py_ssize_t neg_one = (Py_ssize_t) -1, const_zero = (Py_ssize_t) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (format_char == 'X') { + hex_digits += 16; + format_char = 'x'; + } + remaining = value; + last_one_off = 0; + dpos = end; + do { + int digit_pos; + switch (format_char) { + case 'o': + digit_pos = abs((int)(remaining % (8*8))); + remaining = (Py_ssize_t) (remaining / (8*8)); + dpos -= 2; + *(uint16_t*)dpos = ((const uint16_t*)DIGIT_PAIRS_8)[digit_pos]; + last_one_off = (digit_pos < 8); + break; + case 'd': + digit_pos = abs((int)(remaining % (10*10))); + remaining = (Py_ssize_t) (remaining / (10*10)); + dpos -= 2; + *(uint16_t*)dpos = ((const uint16_t*)DIGIT_PAIRS_10)[digit_pos]; + last_one_off = (digit_pos < 10); + break; + case 'x': + *(--dpos) = hex_digits[abs((int)(remaining % 16))]; + remaining = (Py_ssize_t) (remaining / 16); + break; + default: + assert(0); + break; + } + } while (unlikely(remaining != 0)); + if (last_one_off) { + assert(*dpos == '0'); + dpos++; + } + length = end - dpos; + ulength = length; + prepend_sign = 0; + if (!is_unsigned && value <= neg_one) { + if (padding_char == ' ' || width <= length + 1) { + *(--dpos) = '-'; + ++length; + } else { + prepend_sign = 1; + } + ++ulength; + } + if (width > ulength) { + ulength = width; + } + if (ulength == 1) { + return PyUnicode_FromOrdinal(*dpos); + } + return __Pyx_PyUnicode_BuildFromAscii(ulength, dpos, (int) length, prepend_sign, padding_char); +} + +/* PyIntBinop */ + #if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_AddCObj(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) { + (void)inplace; + (void)zerodivision_check; + #if PY_MAJOR_VERSION < 3 + if (likely(PyInt_CheckExact(op2))) { + const long a = intval; + long x; + long b = PyInt_AS_LONG(op2); + x = (long)((unsigned long)a + b); + if (likely((x^a) >= 0 || (x^b) >= 0)) + return PyInt_FromLong(x); + return PyLong_Type.tp_as_number->nb_add(op1, op2); + } + #endif + #if CYTHON_USE_PYLONG_INTERNALS + if (likely(PyLong_CheckExact(op2))) { + const long a = intval; + long b, x; +#ifdef HAVE_LONG_LONG + const PY_LONG_LONG lla = intval; + PY_LONG_LONG llb, llx; +#endif + const digit* digits = ((PyLongObject*)op2)->ob_digit; + const Py_ssize_t size = Py_SIZE(op2); + if (likely(__Pyx_sst_abs(size) <= 1)) { + b = likely(size) ? digits[0] : 0; + if (size == -1) b = -b; + } else { + switch (size) { + case -2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + b = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + llb = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + b = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + llb = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + b = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + llb = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + b = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + llb = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + b = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + llb = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + b = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + llb = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + default: return PyLong_Type.tp_as_number->nb_add(op1, op2); + } + } + x = a + b; + return PyLong_FromLong(x); +#ifdef HAVE_LONG_LONG + long_long: + llx = lla + llb; + return PyLong_FromLongLong(llx); +#endif + + + } + #endif + if (PyFloat_CheckExact(op2)) { + const long a = intval; + double b = PyFloat_AS_DOUBLE(op2); + double result; + PyFPE_START_PROTECT("add", return NULL) + result = ((double)a) + (double)b; + PyFPE_END_PROTECT(result) + return PyFloat_FromDouble(result); + } + return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2); +} +#endif + +/* PyIntBinop */ + #if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) { + (void)inplace; + (void)zerodivision_check; + #if PY_MAJOR_VERSION < 3 + if (likely(PyInt_CheckExact(op1))) { + const long b = intval; + long x; + long a = PyInt_AS_LONG(op1); + x = (long)((unsigned long)a - b); + if (likely((x^a) >= 0 || (x^~b) >= 0)) + return PyInt_FromLong(x); + return PyLong_Type.tp_as_number->nb_subtract(op1, op2); + } + #endif + #if CYTHON_USE_PYLONG_INTERNALS + if (likely(PyLong_CheckExact(op1))) { + const long b = intval; + long a, x; +#ifdef HAVE_LONG_LONG + const PY_LONG_LONG llb = intval; + PY_LONG_LONG lla, llx; +#endif + const digit* digits = ((PyLongObject*)op1)->ob_digit; + const Py_ssize_t size = Py_SIZE(op1); + if (likely(__Pyx_sst_abs(size) <= 1)) { + a = likely(size) ? digits[0] : 0; + if (size == -1) a = -a; + } else { + switch (size) { + case -2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + default: return PyLong_Type.tp_as_number->nb_subtract(op1, op2); + } + } + x = a - b; + return PyLong_FromLong(x); +#ifdef HAVE_LONG_LONG + long_long: + llx = lla - llb; + return PyLong_FromLongLong(llx); +#endif + + + } + #endif + if (PyFloat_CheckExact(op1)) { + const long b = intval; + double a = PyFloat_AS_DOUBLE(op1); + double result; + PyFPE_START_PROTECT("subtract", return NULL) + result = ((double)a) - (double)b; + PyFPE_END_PROTECT(result) + return PyFloat_FromDouble(result); + } + return (inplace ? PyNumber_InPlaceSubtract : PyNumber_Subtract)(op1, op2); +} +#endif + +/* PyIntBinop */ + #if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_SubtractCObj(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) { + (void)inplace; + (void)zerodivision_check; + #if PY_MAJOR_VERSION < 3 + if (likely(PyInt_CheckExact(op2))) { + const long a = intval; + long x; + long b = PyInt_AS_LONG(op2); + x = (long)((unsigned long)a - b); + if (likely((x^a) >= 0 || (x^~b) >= 0)) + return PyInt_FromLong(x); + return PyLong_Type.tp_as_number->nb_subtract(op1, op2); + } + #endif + #if CYTHON_USE_PYLONG_INTERNALS + if (likely(PyLong_CheckExact(op2))) { + const long a = intval; + long b, x; +#ifdef HAVE_LONG_LONG + const PY_LONG_LONG lla = intval; + PY_LONG_LONG llb, llx; +#endif + const digit* digits = ((PyLongObject*)op2)->ob_digit; + const Py_ssize_t size = Py_SIZE(op2); + if (likely(__Pyx_sst_abs(size) <= 1)) { + b = likely(size) ? digits[0] : 0; + if (size == -1) b = -b; + } else { + switch (size) { + case -2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + b = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + llb = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + b = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + llb = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + b = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + llb = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + b = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + llb = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + b = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + llb = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + b = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + llb = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + default: return PyLong_Type.tp_as_number->nb_subtract(op1, op2); + } + } + x = a - b; + return PyLong_FromLong(x); +#ifdef HAVE_LONG_LONG + long_long: + llx = lla - llb; + return PyLong_FromLongLong(llx); +#endif + + + } + #endif + if (PyFloat_CheckExact(op2)) { + const long a = intval; + double b = PyFloat_AS_DOUBLE(op2); + double result; + PyFPE_START_PROTECT("subtract", return NULL) + result = ((double)a) - (double)b; + PyFPE_END_PROTECT(result) + return PyFloat_FromDouble(result); + } + return (inplace ? PyNumber_InPlaceSubtract : PyNumber_Subtract)(op1, op2); +} +#endif + +/* SliceObject */ + static CYTHON_INLINE int __Pyx_PyObject_SetSlice(PyObject* obj, PyObject* value, + Py_ssize_t cstart, Py_ssize_t cstop, + PyObject** _py_start, PyObject** _py_stop, PyObject** _py_slice, + int has_cstart, int has_cstop, CYTHON_UNUSED int wraparound) { +#if CYTHON_USE_TYPE_SLOTS + PyMappingMethods* mp; +#if PY_MAJOR_VERSION < 3 + PySequenceMethods* ms = Py_TYPE(obj)->tp_as_sequence; + if (likely(ms && ms->sq_ass_slice)) { + if (!has_cstart) { + if (_py_start && (*_py_start != Py_None)) { + cstart = __Pyx_PyIndex_AsSsize_t(*_py_start); + if ((cstart == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad; + } else + cstart = 0; + } + if (!has_cstop) { + if (_py_stop && (*_py_stop != Py_None)) { + cstop = __Pyx_PyIndex_AsSsize_t(*_py_stop); + if ((cstop == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad; + } else + cstop = PY_SSIZE_T_MAX; + } + if (wraparound && unlikely((cstart < 0) | (cstop < 0)) && likely(ms->sq_length)) { + Py_ssize_t l = ms->sq_length(obj); + if (likely(l >= 0)) { + if (cstop < 0) { + cstop += l; + if (cstop < 0) cstop = 0; + } + if (cstart < 0) { + cstart += l; + if (cstart < 0) cstart = 0; + } + } else { + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) + goto bad; + PyErr_Clear(); + } + } + return ms->sq_ass_slice(obj, cstart, cstop, value); + } +#endif + mp = Py_TYPE(obj)->tp_as_mapping; + if (likely(mp && mp->mp_ass_subscript)) +#endif + { + int result; + PyObject *py_slice, *py_start, *py_stop; + if (_py_slice) { + py_slice = *_py_slice; + } else { + PyObject* owned_start = NULL; + PyObject* owned_stop = NULL; + if (_py_start) { + py_start = *_py_start; + } else { + if (has_cstart) { + owned_start = py_start = PyInt_FromSsize_t(cstart); + if (unlikely(!py_start)) goto bad; + } else + py_start = Py_None; + } + if (_py_stop) { + py_stop = *_py_stop; + } else { + if (has_cstop) { + owned_stop = py_stop = PyInt_FromSsize_t(cstop); + if (unlikely(!py_stop)) { + Py_XDECREF(owned_start); + goto bad; + } + } else + py_stop = Py_None; + } + py_slice = PySlice_New(py_start, py_stop, Py_None); + Py_XDECREF(owned_start); + Py_XDECREF(owned_stop); + if (unlikely(!py_slice)) goto bad; + } +#if CYTHON_USE_TYPE_SLOTS + result = mp->mp_ass_subscript(obj, py_slice, value); +#else + result = value ? PyObject_SetItem(obj, py_slice, value) : PyObject_DelItem(obj, py_slice); +#endif + if (!_py_slice) { + Py_DECREF(py_slice); + } + return result; + } + PyErr_Format(PyExc_TypeError, + "'%.200s' object does not support slice %.10s", + Py_TYPE(obj)->tp_name, value ? "assignment" : "deletion"); +bad: + return -1; +} + +/* GetTopmostException */ + #if CYTHON_USE_EXC_INFO_STACK +static _PyErr_StackItem * +__Pyx_PyErr_GetTopmostException(PyThreadState *tstate) +{ + _PyErr_StackItem *exc_info = tstate->exc_info; + while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) && + exc_info->previous_item != NULL) + { + exc_info = exc_info->previous_item; + } + return exc_info; +} +#endif + +/* SaveResetException */ + #if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); + *type = exc_info->exc_type; + *value = exc_info->exc_value; + *tb = exc_info->exc_traceback; + #else + *type = tstate->exc_type; + *value = tstate->exc_value; + *tb = tstate->exc_traceback; + #endif + Py_XINCREF(*type); + Py_XINCREF(*value); + Py_XINCREF(*tb); +} +static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = type; + exc_info->exc_value = value; + exc_info->exc_traceback = tb; + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = type; + tstate->exc_value = value; + tstate->exc_traceback = tb; + #endif + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +} +#endif + +/* PyErrExceptionMatches */ + #if CYTHON_FAST_THREAD_STATE +static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { + Py_ssize_t i, n; + n = PyTuple_GET_SIZE(tuple); +#if PY_MAJOR_VERSION >= 3 + for (i=0; icurexc_type; + if (exc_type == err) return 1; + if (unlikely(!exc_type)) return 0; + if (unlikely(PyTuple_Check(err))) + return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err); + return __Pyx_PyErr_GivenExceptionMatches(exc_type, err); +} +#endif + +/* GetException */ + #if CYTHON_FAST_THREAD_STATE +static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) +#else +static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) +#endif +{ + PyObject *local_type, *local_value, *local_tb; +#if CYTHON_FAST_THREAD_STATE + PyObject *tmp_type, *tmp_value, *tmp_tb; + local_type = tstate->curexc_type; + local_value = tstate->curexc_value; + local_tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; +#else + PyErr_Fetch(&local_type, &local_value, &local_tb); +#endif + PyErr_NormalizeException(&local_type, &local_value, &local_tb); +#if CYTHON_FAST_THREAD_STATE + if (unlikely(tstate->curexc_type)) +#else + if (unlikely(PyErr_Occurred())) +#endif + goto bad; + #if PY_MAJOR_VERSION >= 3 + if (local_tb) { + if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) + goto bad; + } + #endif + Py_XINCREF(local_tb); + Py_XINCREF(local_type); + Py_XINCREF(local_value); + *type = local_type; + *value = local_value; + *tb = local_tb; +#if CYTHON_FAST_THREAD_STATE + #if CYTHON_USE_EXC_INFO_STACK + { + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = local_type; + exc_info->exc_value = local_value; + exc_info->exc_traceback = local_tb; + } + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = local_type; + tstate->exc_value = local_value; + tstate->exc_traceback = local_tb; + #endif + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +#else + PyErr_SetExcInfo(local_type, local_value, local_tb); +#endif + return 0; +bad: + *type = 0; + *value = 0; + *tb = 0; + Py_XDECREF(local_type); + Py_XDECREF(local_value); + Py_XDECREF(local_tb); + return -1; +} + +/* ArgTypeTest */ + static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact) +{ + if (unlikely(!type)) { + PyErr_SetString(PyExc_SystemError, "Missing type object"); + return 0; + } + else if (exact) { + #if PY_MAJOR_VERSION == 2 + if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; + #endif + } + else { + if (likely(__Pyx_TypeCheck(obj, type))) return 1; + } + PyErr_Format(PyExc_TypeError, + "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)", + name, type->tp_name, Py_TYPE(obj)->tp_name); + return 0; +} + +/* BytesEquals */ + static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) { +#if CYTHON_COMPILING_IN_PYPY + return PyObject_RichCompareBool(s1, s2, equals); +#else + if (s1 == s2) { + return (equals == Py_EQ); + } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) { + const char *ps1, *ps2; + Py_ssize_t length = PyBytes_GET_SIZE(s1); + if (length != PyBytes_GET_SIZE(s2)) + return (equals == Py_NE); + ps1 = PyBytes_AS_STRING(s1); + ps2 = PyBytes_AS_STRING(s2); + if (ps1[0] != ps2[0]) { + return (equals == Py_NE); + } else if (length == 1) { + return (equals == Py_EQ); + } else { + int result; +#if CYTHON_USE_UNICODE_INTERNALS + Py_hash_t hash1, hash2; + hash1 = ((PyBytesObject*)s1)->ob_shash; + hash2 = ((PyBytesObject*)s2)->ob_shash; + if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { + return (equals == Py_NE); + } +#endif + result = memcmp(ps1, ps2, (size_t)length); + return (equals == Py_EQ) ? (result == 0) : (result != 0); + } + } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) { + return (equals == Py_NE); + } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) { + return (equals == Py_NE); + } else { + int result; + PyObject* py_result = PyObject_RichCompare(s1, s2, equals); + if (!py_result) + return -1; + result = __Pyx_PyObject_IsTrue(py_result); + Py_DECREF(py_result); + return result; + } +#endif +} + +/* UnicodeEquals */ + static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { +#if CYTHON_COMPILING_IN_PYPY + return PyObject_RichCompareBool(s1, s2, equals); +#else +#if PY_MAJOR_VERSION < 3 + PyObject* owned_ref = NULL; +#endif + int s1_is_unicode, s2_is_unicode; + if (s1 == s2) { + goto return_eq; + } + s1_is_unicode = PyUnicode_CheckExact(s1); + s2_is_unicode = PyUnicode_CheckExact(s2); +#if PY_MAJOR_VERSION < 3 + if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) { + owned_ref = PyUnicode_FromObject(s2); + if (unlikely(!owned_ref)) + return -1; + s2 = owned_ref; + s2_is_unicode = 1; + } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) { + owned_ref = PyUnicode_FromObject(s1); + if (unlikely(!owned_ref)) + return -1; + s1 = owned_ref; + s1_is_unicode = 1; + } else if (((!s2_is_unicode) & (!s1_is_unicode))) { + return __Pyx_PyBytes_Equals(s1, s2, equals); + } +#endif + if (s1_is_unicode & s2_is_unicode) { + Py_ssize_t length; + int kind; + void *data1, *data2; + if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0)) + return -1; + length = __Pyx_PyUnicode_GET_LENGTH(s1); + if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) { + goto return_ne; + } +#if CYTHON_USE_UNICODE_INTERNALS + { + Py_hash_t hash1, hash2; + #if CYTHON_PEP393_ENABLED + hash1 = ((PyASCIIObject*)s1)->hash; + hash2 = ((PyASCIIObject*)s2)->hash; + #else + hash1 = ((PyUnicodeObject*)s1)->hash; + hash2 = ((PyUnicodeObject*)s2)->hash; + #endif + if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { + goto return_ne; + } + } +#endif + kind = __Pyx_PyUnicode_KIND(s1); + if (kind != __Pyx_PyUnicode_KIND(s2)) { + goto return_ne; + } + data1 = __Pyx_PyUnicode_DATA(s1); + data2 = __Pyx_PyUnicode_DATA(s2); + if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) { + goto return_ne; + } else if (length == 1) { + goto return_eq; + } else { + int result = memcmp(data1, data2, (size_t)(length * kind)); + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + return (equals == Py_EQ) ? (result == 0) : (result != 0); + } + } else if ((s1 == Py_None) & s2_is_unicode) { + goto return_ne; + } else if ((s2 == Py_None) & s1_is_unicode) { + goto return_ne; + } else { + int result; + PyObject* py_result = PyObject_RichCompare(s1, s2, equals); + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + if (!py_result) + return -1; + result = __Pyx_PyObject_IsTrue(py_result); + Py_DECREF(py_result); + return result; + } +return_eq: + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + return (equals == Py_EQ); +return_ne: + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + return (equals == Py_NE); +#endif +} + +/* None */ + static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { + Py_ssize_t q = a / b; + Py_ssize_t r = a - q*b; + q -= ((r != 0) & ((r ^ b) < 0)); + return q; +} + +/* GetAttr */ + static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { +#if CYTHON_USE_TYPE_SLOTS +#if PY_MAJOR_VERSION >= 3 + if (likely(PyUnicode_Check(n))) +#else + if (likely(PyString_Check(n))) +#endif + return __Pyx_PyObject_GetAttrStr(o, n); +#endif + return PyObject_GetAttr(o, n); +} + +/* decode_c_string */ + static CYTHON_INLINE PyObject* __Pyx_decode_c_string( + const char* cstring, Py_ssize_t start, Py_ssize_t stop, + const char* encoding, const char* errors, + PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) { + Py_ssize_t length; + if (unlikely((start < 0) | (stop < 0))) { + size_t slen = strlen(cstring); + if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) { + PyErr_SetString(PyExc_OverflowError, + "c-string too long to convert to Python"); + return NULL; + } + length = (Py_ssize_t) slen; + if (start < 0) { + start += length; + if (start < 0) + start = 0; + } + if (stop < 0) + stop += length; + } + if (unlikely(stop <= start)) + return __Pyx_NewRef(__pyx_empty_unicode); + length = stop - start; + cstring += start; + if (decode_func) { + return decode_func(cstring, length, errors); + } else { + return PyUnicode_Decode(cstring, length, encoding, errors); + } +} + +/* GetAttr3 */ + static PyObject *__Pyx_GetAttr3Default(PyObject *d) { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) + return NULL; + __Pyx_PyErr_Clear(); + Py_INCREF(d); + return d; +} +static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) { + PyObject *r = __Pyx_GetAttr(o, n); + return (likely(r)) ? r : __Pyx_GetAttr3Default(d); +} + +/* SwapException */ + #if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = *type; + exc_info->exc_value = *value; + exc_info->exc_traceback = *tb; + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = *type; + tstate->exc_value = *value; + tstate->exc_traceback = *tb; + #endif + *type = tmp_type; + *value = tmp_value; + *tb = tmp_tb; +} +#else +static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb); + PyErr_SetExcInfo(*type, *value, *tb); + *type = tmp_type; + *value = tmp_value; + *tb = tmp_tb; +} +#endif + +/* FastTypeChecks */ + #if CYTHON_COMPILING_IN_CPYTHON +static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { + while (a) { + a = a->tp_base; + if (a == b) + return 1; + } + return b == &PyBaseObject_Type; +} +static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) { + PyObject *mro; + if (a == b) return 1; + mro = a->tp_mro; + if (likely(mro)) { + Py_ssize_t i, n; + n = PyTuple_GET_SIZE(mro); + for (i = 0; i < n; i++) { + if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b) + return 1; + } + return 0; + } + return __Pyx_InBases(a, b); +} +#if PY_MAJOR_VERSION == 2 +static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) { + PyObject *exception, *value, *tb; + int res; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&exception, &value, &tb); + res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0; + if (unlikely(res == -1)) { + PyErr_WriteUnraisable(err); + res = 0; + } + if (!res) { + res = PyObject_IsSubclass(err, exc_type2); + if (unlikely(res == -1)) { + PyErr_WriteUnraisable(err); + res = 0; + } + } + __Pyx_ErrRestore(exception, value, tb); + return res; +} +#else +static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) { + int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0; + if (!res) { + res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2); + } + return res; +} +#endif +static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { + Py_ssize_t i, n; + assert(PyExceptionClass_Check(exc_type)); + n = PyTuple_GET_SIZE(tuple); +#if PY_MAJOR_VERSION >= 3 + for (i=0; i= 3 + "'%.50s' object has no attribute '%U'", + tp->tp_name, attr_name); +#else + "'%.50s' object has no attribute '%.400s'", + tp->tp_name, PyString_AS_STRING(attr_name)); +#endif + return NULL; +} +static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) { + PyObject *descr; + PyTypeObject *tp = Py_TYPE(obj); + if (unlikely(!PyString_Check(attr_name))) { + return PyObject_GenericGetAttr(obj, attr_name); + } + assert(!tp->tp_dictoffset); + descr = _PyType_Lookup(tp, attr_name); + if (unlikely(!descr)) { + return __Pyx_RaiseGenericGetAttributeError(tp, attr_name); + } + Py_INCREF(descr); + #if PY_MAJOR_VERSION < 3 + if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS))) + #endif + { + descrgetfunc f = Py_TYPE(descr)->tp_descr_get; + if (unlikely(f)) { + PyObject *res = f(descr, obj, (PyObject *)tp); + Py_DECREF(descr); + return res; + } + } + return descr; +} +#endif + +/* PyObject_GenericGetAttr */ + #if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 +static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) { + if (unlikely(Py_TYPE(obj)->tp_dictoffset)) { + return PyObject_GenericGetAttr(obj, attr_name); + } + return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name); +} +#endif + +/* SetVTable */ + static int __Pyx_SetVtable(PyObject *dict, void *vtable) { +#if PY_VERSION_HEX >= 0x02070000 + PyObject *ob = PyCapsule_New(vtable, 0, 0); +#else + PyObject *ob = PyCObject_FromVoidPtr(vtable, 0); +#endif + if (!ob) + goto bad; + if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0) + goto bad; + Py_DECREF(ob); + return 0; +bad: + Py_XDECREF(ob); + return -1; +} + +/* PyObjectGetAttrStrNoError */ + static void __Pyx_PyObject_GetAttrStr_ClearAttributeError(void) { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + if (likely(__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) + __Pyx_PyErr_Clear(); +} +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name) { + PyObject *result; +#if CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_TYPE_SLOTS && PY_VERSION_HEX >= 0x030700B1 + PyTypeObject* tp = Py_TYPE(obj); + if (likely(tp->tp_getattro == PyObject_GenericGetAttr)) { + return _PyObject_GenericGetAttrWithDict(obj, attr_name, NULL, 1); + } +#endif + result = __Pyx_PyObject_GetAttrStr(obj, attr_name); + if (unlikely(!result)) { + __Pyx_PyObject_GetAttrStr_ClearAttributeError(); + } + return result; +} + +/* SetupReduce */ + static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) { + int ret; + PyObject *name_attr; + name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2); + if (likely(name_attr)) { + ret = PyObject_RichCompareBool(name_attr, name, Py_EQ); + } else { + ret = -1; + } + if (unlikely(ret < 0)) { + PyErr_Clear(); + ret = 0; + } + Py_XDECREF(name_attr); + return ret; +} +static int __Pyx_setup_reduce(PyObject* type_obj) { + int ret = 0; + PyObject *object_reduce = NULL; + PyObject *object_reduce_ex = NULL; + PyObject *reduce = NULL; + PyObject *reduce_ex = NULL; + PyObject *reduce_cython = NULL; + PyObject *setstate = NULL; + PyObject *setstate_cython = NULL; +#if CYTHON_USE_PYTYPE_LOOKUP + if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD; +#else + if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD; +#endif +#if CYTHON_USE_PYTYPE_LOOKUP + object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; +#else + object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; +#endif + reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD; + if (reduce_ex == object_reduce_ex) { +#if CYTHON_USE_PYTYPE_LOOKUP + object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD; +#else + object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD; +#endif + reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto __PYX_BAD; + if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) { + reduce_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_reduce_cython); + if (likely(reduce_cython)) { + ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + } else if (reduce == object_reduce || PyErr_Occurred()) { + goto __PYX_BAD; + } + setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate); + if (!setstate) PyErr_Clear(); + if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) { + setstate_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_setstate_cython); + if (likely(setstate_cython)) { + ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + } else if (!setstate || PyErr_Occurred()) { + goto __PYX_BAD; + } + } + PyType_Modified((PyTypeObject*)type_obj); + } + } + goto __PYX_GOOD; +__PYX_BAD: + if (!PyErr_Occurred()) + PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name); + ret = -1; +__PYX_GOOD: +#if !CYTHON_USE_PYTYPE_LOOKUP + Py_XDECREF(object_reduce); + Py_XDECREF(object_reduce_ex); +#endif + Py_XDECREF(reduce); + Py_XDECREF(reduce_ex); + Py_XDECREF(reduce_cython); + Py_XDECREF(setstate); + Py_XDECREF(setstate_cython); + return ret; +} + +/* TypeImport */ + #ifndef __PYX_HAVE_RT_ImportType +#define __PYX_HAVE_RT_ImportType +static PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name, + size_t size, enum __Pyx_ImportType_CheckSize check_size) +{ + PyObject *result = 0; + char warning[200]; + Py_ssize_t basicsize; +#ifdef Py_LIMITED_API + PyObject *py_basicsize; +#endif + result = PyObject_GetAttrString(module, class_name); + if (!result) + goto bad; + if (!PyType_Check(result)) { + PyErr_Format(PyExc_TypeError, + "%.200s.%.200s is not a type object", + module_name, class_name); + goto bad; + } +#ifndef Py_LIMITED_API + basicsize = ((PyTypeObject *)result)->tp_basicsize; +#else + py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); + if (!py_basicsize) + goto bad; + basicsize = PyLong_AsSsize_t(py_basicsize); + Py_DECREF(py_basicsize); + py_basicsize = 0; + if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) + goto bad; +#endif + if ((size_t)basicsize < size) { + PyErr_Format(PyExc_ValueError, + "%.200s.%.200s size changed, may indicate binary incompatibility. " + "Expected %zd from C header, got %zd from PyObject", + module_name, class_name, size, basicsize); + goto bad; + } + if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) { + PyErr_Format(PyExc_ValueError, + "%.200s.%.200s size changed, may indicate binary incompatibility. " + "Expected %zd from C header, got %zd from PyObject", + module_name, class_name, size, basicsize); + goto bad; + } + else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) { + PyOS_snprintf(warning, sizeof(warning), + "%s.%s size changed, may indicate binary incompatibility. " + "Expected %zd from C header, got %zd from PyObject", + module_name, class_name, size, basicsize); + if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; + } + return (PyTypeObject *)result; +bad: + Py_XDECREF(result); + return NULL; +} +#endif + +/* CalculateMetaclass */ + static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases) { + Py_ssize_t i, nbases = PyTuple_GET_SIZE(bases); + for (i=0; i < nbases; i++) { + PyTypeObject *tmptype; + PyObject *tmp = PyTuple_GET_ITEM(bases, i); + tmptype = Py_TYPE(tmp); +#if PY_MAJOR_VERSION < 3 + if (tmptype == &PyClass_Type) + continue; +#endif + if (!metaclass) { + metaclass = tmptype; + continue; + } + if (PyType_IsSubtype(metaclass, tmptype)) + continue; + if (PyType_IsSubtype(tmptype, metaclass)) { + metaclass = tmptype; + continue; + } + PyErr_SetString(PyExc_TypeError, + "metaclass conflict: " + "the metaclass of a derived class " + "must be a (non-strict) subclass " + "of the metaclasses of all its bases"); + return NULL; + } + if (!metaclass) { +#if PY_MAJOR_VERSION < 3 + metaclass = &PyClass_Type; +#else + metaclass = &PyType_Type; +#endif + } + Py_INCREF((PyObject*) metaclass); + return (PyObject*) metaclass; +} + +/* FetchCommonType */ + static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) { + PyObject* fake_module; + PyTypeObject* cached_type = NULL; + fake_module = PyImport_AddModule((char*) "_cython_" CYTHON_ABI); + if (!fake_module) return NULL; + Py_INCREF(fake_module); + cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name); + if (cached_type) { + if (!PyType_Check((PyObject*)cached_type)) { + PyErr_Format(PyExc_TypeError, + "Shared Cython type %.200s is not a type object", + type->tp_name); + goto bad; + } + if (cached_type->tp_basicsize != type->tp_basicsize) { + PyErr_Format(PyExc_TypeError, + "Shared Cython type %.200s has the wrong size, try recompiling", + type->tp_name); + goto bad; + } + } else { + if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; + PyErr_Clear(); + if (PyType_Ready(type) < 0) goto bad; + if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0) + goto bad; + Py_INCREF(type); + cached_type = type; + } +done: + Py_DECREF(fake_module); + return cached_type; +bad: + Py_XDECREF(cached_type); + cached_type = NULL; + goto done; +} + +/* CythonFunctionShared */ + #include +static PyObject * +__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *closure) +{ + if (unlikely(op->func_doc == NULL)) { + if (op->func.m_ml->ml_doc) { +#if PY_MAJOR_VERSION >= 3 + op->func_doc = PyUnicode_FromString(op->func.m_ml->ml_doc); +#else + op->func_doc = PyString_FromString(op->func.m_ml->ml_doc); +#endif + if (unlikely(op->func_doc == NULL)) + return NULL; + } else { + Py_INCREF(Py_None); + return Py_None; + } + } + Py_INCREF(op->func_doc); + return op->func_doc; +} +static int +__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context) +{ + PyObject *tmp = op->func_doc; + if (value == NULL) { + value = Py_None; + } + Py_INCREF(value); + op->func_doc = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) +{ + if (unlikely(op->func_name == NULL)) { +#if PY_MAJOR_VERSION >= 3 + op->func_name = PyUnicode_InternFromString(op->func.m_ml->ml_name); +#else + op->func_name = PyString_InternFromString(op->func.m_ml->ml_name); +#endif + if (unlikely(op->func_name == NULL)) + return NULL; + } + Py_INCREF(op->func_name); + return op->func_name; +} +static int +__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context) +{ + PyObject *tmp; +#if PY_MAJOR_VERSION >= 3 + if (unlikely(value == NULL || !PyUnicode_Check(value))) +#else + if (unlikely(value == NULL || !PyString_Check(value))) +#endif + { + PyErr_SetString(PyExc_TypeError, + "__name__ must be set to a string object"); + return -1; + } + tmp = op->func_name; + Py_INCREF(value); + op->func_name = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) +{ + Py_INCREF(op->func_qualname); + return op->func_qualname; +} +static int +__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context) +{ + PyObject *tmp; +#if PY_MAJOR_VERSION >= 3 + if (unlikely(value == NULL || !PyUnicode_Check(value))) +#else + if (unlikely(value == NULL || !PyString_Check(value))) +#endif + { + PyErr_SetString(PyExc_TypeError, + "__qualname__ must be set to a string object"); + return -1; + } + tmp = op->func_qualname; + Py_INCREF(value); + op->func_qualname = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_self(__pyx_CyFunctionObject *m, CYTHON_UNUSED void *closure) +{ + PyObject *self; + self = m->func_closure; + if (self == NULL) + self = Py_None; + Py_INCREF(self); + return self; +} +static PyObject * +__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) +{ + if (unlikely(op->func_dict == NULL)) { + op->func_dict = PyDict_New(); + if (unlikely(op->func_dict == NULL)) + return NULL; + } + Py_INCREF(op->func_dict); + return op->func_dict; +} +static int +__Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context) +{ + PyObject *tmp; + if (unlikely(value == NULL)) { + PyErr_SetString(PyExc_TypeError, + "function's dictionary may not be deleted"); + return -1; + } + if (unlikely(!PyDict_Check(value))) { + PyErr_SetString(PyExc_TypeError, + "setting function's dictionary to a non-dict"); + return -1; + } + tmp = op->func_dict; + Py_INCREF(value); + op->func_dict = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) +{ + Py_INCREF(op->func_globals); + return op->func_globals; +} +static PyObject * +__Pyx_CyFunction_get_closure(CYTHON_UNUSED __pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) +{ + Py_INCREF(Py_None); + return Py_None; +} +static PyObject * +__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) +{ + PyObject* result = (op->func_code) ? op->func_code : Py_None; + Py_INCREF(result); + return result; +} +static int +__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) { + int result = 0; + PyObject *res = op->defaults_getter((PyObject *) op); + if (unlikely(!res)) + return -1; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + op->defaults_tuple = PyTuple_GET_ITEM(res, 0); + Py_INCREF(op->defaults_tuple); + op->defaults_kwdict = PyTuple_GET_ITEM(res, 1); + Py_INCREF(op->defaults_kwdict); + #else + op->defaults_tuple = PySequence_ITEM(res, 0); + if (unlikely(!op->defaults_tuple)) result = -1; + else { + op->defaults_kwdict = PySequence_ITEM(res, 1); + if (unlikely(!op->defaults_kwdict)) result = -1; + } + #endif + Py_DECREF(res); + return result; +} +static int +__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) { + PyObject* tmp; + if (!value) { + value = Py_None; + } else if (value != Py_None && !PyTuple_Check(value)) { + PyErr_SetString(PyExc_TypeError, + "__defaults__ must be set to a tuple object"); + return -1; + } + Py_INCREF(value); + tmp = op->defaults_tuple; + op->defaults_tuple = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) { + PyObject* result = op->defaults_tuple; + if (unlikely(!result)) { + if (op->defaults_getter) { + if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; + result = op->defaults_tuple; + } else { + result = Py_None; + } + } + Py_INCREF(result); + return result; +} +static int +__Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) { + PyObject* tmp; + if (!value) { + value = Py_None; + } else if (value != Py_None && !PyDict_Check(value)) { + PyErr_SetString(PyExc_TypeError, + "__kwdefaults__ must be set to a dict object"); + return -1; + } + Py_INCREF(value); + tmp = op->defaults_kwdict; + op->defaults_kwdict = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) { + PyObject* result = op->defaults_kwdict; + if (unlikely(!result)) { + if (op->defaults_getter) { + if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; + result = op->defaults_kwdict; + } else { + result = Py_None; + } + } + Py_INCREF(result); + return result; +} +static int +__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) { + PyObject* tmp; + if (!value || value == Py_None) { + value = NULL; + } else if (!PyDict_Check(value)) { + PyErr_SetString(PyExc_TypeError, + "__annotations__ must be set to a dict object"); + return -1; + } + Py_XINCREF(value); + tmp = op->func_annotations; + op->func_annotations = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) { + PyObject* result = op->func_annotations; + if (unlikely(!result)) { + result = PyDict_New(); + if (unlikely(!result)) return NULL; + op->func_annotations = result; + } + Py_INCREF(result); + return result; +} +static PyGetSetDef __pyx_CyFunction_getsets[] = { + {(char *) "func_doc", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, + {(char *) "__doc__", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, + {(char *) "func_name", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, + {(char *) "__name__", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, + {(char *) "__qualname__", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0}, + {(char *) "__self__", (getter)__Pyx_CyFunction_get_self, 0, 0, 0}, + {(char *) "func_dict", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, + {(char *) "__dict__", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, + {(char *) "func_globals", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, + {(char *) "__globals__", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, + {(char *) "func_closure", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, + {(char *) "__closure__", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, + {(char *) "func_code", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, + {(char *) "__code__", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, + {(char *) "func_defaults", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, + {(char *) "__defaults__", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, + {(char *) "__kwdefaults__", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0}, + {(char *) "__annotations__", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0}, + {0, 0, 0, 0, 0} +}; +static PyMemberDef __pyx_CyFunction_members[] = { + {(char *) "__module__", T_OBJECT, offsetof(PyCFunctionObject, m_module), PY_WRITE_RESTRICTED, 0}, + {0, 0, 0, 0, 0} +}; +static PyObject * +__Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, CYTHON_UNUSED PyObject *args) +{ +#if PY_MAJOR_VERSION >= 3 + return PyUnicode_FromString(m->func.m_ml->ml_name); +#else + return PyString_FromString(m->func.m_ml->ml_name); +#endif +} +static PyMethodDef __pyx_CyFunction_methods[] = { + {"__reduce__", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0}, + {0, 0, 0, 0} +}; +#if PY_VERSION_HEX < 0x030500A0 +#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist) +#else +#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func.m_weakreflist) +#endif +static PyObject *__Pyx_CyFunction_Init(__pyx_CyFunctionObject *op, PyMethodDef *ml, int flags, PyObject* qualname, + PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { + if (unlikely(op == NULL)) + return NULL; + op->flags = flags; + __Pyx_CyFunction_weakreflist(op) = NULL; + op->func.m_ml = ml; + op->func.m_self = (PyObject *) op; + Py_XINCREF(closure); + op->func_closure = closure; + Py_XINCREF(module); + op->func.m_module = module; + op->func_dict = NULL; + op->func_name = NULL; + Py_INCREF(qualname); + op->func_qualname = qualname; + op->func_doc = NULL; + op->func_classobj = NULL; + op->func_globals = globals; + Py_INCREF(op->func_globals); + Py_XINCREF(code); + op->func_code = code; + op->defaults_pyobjects = 0; + op->defaults_size = 0; + op->defaults = NULL; + op->defaults_tuple = NULL; + op->defaults_kwdict = NULL; + op->defaults_getter = NULL; + op->func_annotations = NULL; + return (PyObject *) op; +} +static int +__Pyx_CyFunction_clear(__pyx_CyFunctionObject *m) +{ + Py_CLEAR(m->func_closure); + Py_CLEAR(m->func.m_module); + Py_CLEAR(m->func_dict); + Py_CLEAR(m->func_name); + Py_CLEAR(m->func_qualname); + Py_CLEAR(m->func_doc); + Py_CLEAR(m->func_globals); + Py_CLEAR(m->func_code); + Py_CLEAR(m->func_classobj); + Py_CLEAR(m->defaults_tuple); + Py_CLEAR(m->defaults_kwdict); + Py_CLEAR(m->func_annotations); + if (m->defaults) { + PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); + int i; + for (i = 0; i < m->defaults_pyobjects; i++) + Py_XDECREF(pydefaults[i]); + PyObject_Free(m->defaults); + m->defaults = NULL; + } + return 0; +} +static void __Pyx__CyFunction_dealloc(__pyx_CyFunctionObject *m) +{ + if (__Pyx_CyFunction_weakreflist(m) != NULL) + PyObject_ClearWeakRefs((PyObject *) m); + __Pyx_CyFunction_clear(m); + PyObject_GC_Del(m); +} +static void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m) +{ + PyObject_GC_UnTrack(m); + __Pyx__CyFunction_dealloc(m); +} +static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg) +{ + Py_VISIT(m->func_closure); + Py_VISIT(m->func.m_module); + Py_VISIT(m->func_dict); + Py_VISIT(m->func_name); + Py_VISIT(m->func_qualname); + Py_VISIT(m->func_doc); + Py_VISIT(m->func_globals); + Py_VISIT(m->func_code); + Py_VISIT(m->func_classobj); + Py_VISIT(m->defaults_tuple); + Py_VISIT(m->defaults_kwdict); + if (m->defaults) { + PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); + int i; + for (i = 0; i < m->defaults_pyobjects; i++) + Py_VISIT(pydefaults[i]); + } + return 0; +} +static PyObject *__Pyx_CyFunction_descr_get(PyObject *func, PyObject *obj, PyObject *type) +{ +#if PY_MAJOR_VERSION < 3 + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + if (m->flags & __Pyx_CYFUNCTION_STATICMETHOD) { + Py_INCREF(func); + return func; + } + if (m->flags & __Pyx_CYFUNCTION_CLASSMETHOD) { + if (type == NULL) + type = (PyObject *)(Py_TYPE(obj)); + return __Pyx_PyMethod_New(func, type, (PyObject *)(Py_TYPE(type))); + } + if (obj == Py_None) + obj = NULL; +#endif + return __Pyx_PyMethod_New(func, obj, type); +} +static PyObject* +__Pyx_CyFunction_repr(__pyx_CyFunctionObject *op) +{ +#if PY_MAJOR_VERSION >= 3 + return PyUnicode_FromFormat("", + op->func_qualname, (void *)op); +#else + return PyString_FromFormat("", + PyString_AsString(op->func_qualname), (void *)op); +#endif +} +static PyObject * __Pyx_CyFunction_CallMethod(PyObject *func, PyObject *self, PyObject *arg, PyObject *kw) { + PyCFunctionObject* f = (PyCFunctionObject*)func; + PyCFunction meth = f->m_ml->ml_meth; + Py_ssize_t size; + switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) { + case METH_VARARGS: + if (likely(kw == NULL || PyDict_Size(kw) == 0)) + return (*meth)(self, arg); + break; + case METH_VARARGS | METH_KEYWORDS: + return (*(PyCFunctionWithKeywords)(void*)meth)(self, arg, kw); + case METH_NOARGS: + if (likely(kw == NULL || PyDict_Size(kw) == 0)) { + size = PyTuple_GET_SIZE(arg); + if (likely(size == 0)) + return (*meth)(self, NULL); + PyErr_Format(PyExc_TypeError, + "%.200s() takes no arguments (%" CYTHON_FORMAT_SSIZE_T "d given)", + f->m_ml->ml_name, size); + return NULL; + } + break; + case METH_O: + if (likely(kw == NULL || PyDict_Size(kw) == 0)) { + size = PyTuple_GET_SIZE(arg); + if (likely(size == 1)) { + PyObject *result, *arg0; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + arg0 = PyTuple_GET_ITEM(arg, 0); + #else + arg0 = PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL; + #endif + result = (*meth)(self, arg0); + #if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) + Py_DECREF(arg0); + #endif + return result; + } + PyErr_Format(PyExc_TypeError, + "%.200s() takes exactly one argument (%" CYTHON_FORMAT_SSIZE_T "d given)", + f->m_ml->ml_name, size); + return NULL; + } + break; + default: + PyErr_SetString(PyExc_SystemError, "Bad call flags in " + "__Pyx_CyFunction_Call. METH_OLDARGS is no " + "longer supported!"); + return NULL; + } + PyErr_Format(PyExc_TypeError, "%.200s() takes no keyword arguments", + f->m_ml->ml_name); + return NULL; +} +static CYTHON_INLINE PyObject *__Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) { + return __Pyx_CyFunction_CallMethod(func, ((PyCFunctionObject*)func)->m_self, arg, kw); +} +static PyObject *__Pyx_CyFunction_CallAsMethod(PyObject *func, PyObject *args, PyObject *kw) { + PyObject *result; + __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func; + if ((cyfunc->flags & __Pyx_CYFUNCTION_CCLASS) && !(cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD)) { + Py_ssize_t argc; + PyObject *new_args; + PyObject *self; + argc = PyTuple_GET_SIZE(args); + new_args = PyTuple_GetSlice(args, 1, argc); + if (unlikely(!new_args)) + return NULL; + self = PyTuple_GetItem(args, 0); + if (unlikely(!self)) { + Py_DECREF(new_args); + return NULL; + } + result = __Pyx_CyFunction_CallMethod(func, self, new_args, kw); + Py_DECREF(new_args); + } else { + result = __Pyx_CyFunction_Call(func, args, kw); + } + return result; +} +static PyTypeObject __pyx_CyFunctionType_type = { + PyVarObject_HEAD_INIT(0, 0) + "cython_function_or_method", + sizeof(__pyx_CyFunctionObject), + 0, + (destructor) __Pyx_CyFunction_dealloc, + 0, + 0, + 0, +#if PY_MAJOR_VERSION < 3 + 0, +#else + 0, +#endif + (reprfunc) __Pyx_CyFunction_repr, + 0, + 0, + 0, + 0, + __Pyx_CyFunction_CallAsMethod, + 0, + 0, + 0, + 0, + Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC, + 0, + (traverseproc) __Pyx_CyFunction_traverse, + (inquiry) __Pyx_CyFunction_clear, + 0, +#if PY_VERSION_HEX < 0x030500A0 + offsetof(__pyx_CyFunctionObject, func_weakreflist), +#else + offsetof(PyCFunctionObject, m_weakreflist), +#endif + 0, + 0, + __pyx_CyFunction_methods, + __pyx_CyFunction_members, + __pyx_CyFunction_getsets, + 0, + 0, + __Pyx_CyFunction_descr_get, + 0, + offsetof(__pyx_CyFunctionObject, func_dict), + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, +#if PY_VERSION_HEX >= 0x030400a1 + 0, +#endif +#if PY_VERSION_HEX >= 0x030800b1 + 0, +#endif +#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, +#endif +}; +static int __pyx_CyFunction_init(void) { + __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type); + if (unlikely(__pyx_CyFunctionType == NULL)) { + return -1; + } + return 0; +} +static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + m->defaults = PyObject_Malloc(size); + if (unlikely(!m->defaults)) + return PyErr_NoMemory(); + memset(m->defaults, 0, size); + m->defaults_pyobjects = pyobjects; + m->defaults_size = size; + return m->defaults; +} +static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + m->defaults_tuple = tuple; + Py_INCREF(tuple); +} +static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + m->defaults_kwdict = dict; + Py_INCREF(dict); +} +static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + m->func_annotations = dict; + Py_INCREF(dict); +} + +/* CythonFunction */ + static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, int flags, PyObject* qualname, + PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { + PyObject *op = __Pyx_CyFunction_Init( + PyObject_GC_New(__pyx_CyFunctionObject, __pyx_CyFunctionType), + ml, flags, qualname, closure, module, globals, code + ); + if (likely(op)) { + PyObject_GC_Track(op); + } + return op; +} + +/* FusedFunction */ + static PyObject * +__pyx_FusedFunction_New(PyMethodDef *ml, int flags, + PyObject *qualname, PyObject *closure, + PyObject *module, PyObject *globals, + PyObject *code) +{ + PyObject *op = __Pyx_CyFunction_Init( + PyObject_GC_New(__pyx_CyFunctionObject, __pyx_FusedFunctionType), + ml, flags, qualname, closure, module, globals, code + ); + if (likely(op)) { + __pyx_FusedFunctionObject *fusedfunc = (__pyx_FusedFunctionObject *) op; + fusedfunc->__signatures__ = NULL; + fusedfunc->type = NULL; + fusedfunc->self = NULL; + PyObject_GC_Track(op); + } + return op; +} +static void +__pyx_FusedFunction_dealloc(__pyx_FusedFunctionObject *self) +{ + PyObject_GC_UnTrack(self); + Py_CLEAR(self->self); + Py_CLEAR(self->type); + Py_CLEAR(self->__signatures__); + __Pyx__CyFunction_dealloc((__pyx_CyFunctionObject *) self); +} +static int +__pyx_FusedFunction_traverse(__pyx_FusedFunctionObject *self, + visitproc visit, + void *arg) +{ + Py_VISIT(self->self); + Py_VISIT(self->type); + Py_VISIT(self->__signatures__); + return __Pyx_CyFunction_traverse((__pyx_CyFunctionObject *) self, visit, arg); +} +static int +__pyx_FusedFunction_clear(__pyx_FusedFunctionObject *self) +{ + Py_CLEAR(self->self); + Py_CLEAR(self->type); + Py_CLEAR(self->__signatures__); + return __Pyx_CyFunction_clear((__pyx_CyFunctionObject *) self); +} +static PyObject * +__pyx_FusedFunction_descr_get(PyObject *self, PyObject *obj, PyObject *type) +{ + __pyx_FusedFunctionObject *func, *meth; + func = (__pyx_FusedFunctionObject *) self; + if (func->self || func->func.flags & __Pyx_CYFUNCTION_STATICMETHOD) { + Py_INCREF(self); + return self; + } + if (obj == Py_None) + obj = NULL; + meth = (__pyx_FusedFunctionObject *) __pyx_FusedFunction_New( + ((PyCFunctionObject *) func)->m_ml, + ((__pyx_CyFunctionObject *) func)->flags, + ((__pyx_CyFunctionObject *) func)->func_qualname, + ((__pyx_CyFunctionObject *) func)->func_closure, + ((PyCFunctionObject *) func)->m_module, + ((__pyx_CyFunctionObject *) func)->func_globals, + ((__pyx_CyFunctionObject *) func)->func_code); + if (!meth) + return NULL; + if (func->func.defaults) { + PyObject **pydefaults; + int i; + if (!__Pyx_CyFunction_InitDefaults((PyObject*)meth, + func->func.defaults_size, + func->func.defaults_pyobjects)) { + Py_XDECREF((PyObject*)meth); + return NULL; + } + memcpy(meth->func.defaults, func->func.defaults, func->func.defaults_size); + pydefaults = __Pyx_CyFunction_Defaults(PyObject *, meth); + for (i = 0; i < meth->func.defaults_pyobjects; i++) + Py_XINCREF(pydefaults[i]); + } + Py_XINCREF(func->func.func_classobj); + meth->func.func_classobj = func->func.func_classobj; + Py_XINCREF(func->__signatures__); + meth->__signatures__ = func->__signatures__; + Py_XINCREF(type); + meth->type = type; + Py_XINCREF(func->func.defaults_tuple); + meth->func.defaults_tuple = func->func.defaults_tuple; + if (func->func.flags & __Pyx_CYFUNCTION_CLASSMETHOD) + obj = type; + Py_XINCREF(obj); + meth->self = obj; + return (PyObject *) meth; +} +static PyObject * +_obj_to_str(PyObject *obj) +{ + if (PyType_Check(obj)) + return PyObject_GetAttr(obj, __pyx_n_s_name_2); + else + return PyObject_Str(obj); +} +static PyObject * +__pyx_FusedFunction_getitem(__pyx_FusedFunctionObject *self, PyObject *idx) +{ + PyObject *signature = NULL; + PyObject *unbound_result_func; + PyObject *result_func = NULL; + if (self->__signatures__ == NULL) { + PyErr_SetString(PyExc_TypeError, "Function is not fused"); + return NULL; + } + if (PyTuple_Check(idx)) { + PyObject *list = PyList_New(0); + Py_ssize_t n = PyTuple_GET_SIZE(idx); + PyObject *sep = NULL; + int i; + if (unlikely(!list)) + return NULL; + for (i = 0; i < n; i++) { + int ret; + PyObject *string; +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + PyObject *item = PyTuple_GET_ITEM(idx, i); +#else + PyObject *item = PySequence_ITEM(idx, i); if (unlikely(!item)) goto __pyx_err; +#endif + string = _obj_to_str(item); +#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) + Py_DECREF(item); +#endif + if (unlikely(!string)) goto __pyx_err; + ret = PyList_Append(list, string); + Py_DECREF(string); + if (unlikely(ret < 0)) goto __pyx_err; + } + sep = PyUnicode_FromString("|"); + if (likely(sep)) + signature = PyUnicode_Join(sep, list); +__pyx_err: +; + Py_DECREF(list); + Py_XDECREF(sep); + } else { + signature = _obj_to_str(idx); + } + if (!signature) + return NULL; + unbound_result_func = PyObject_GetItem(self->__signatures__, signature); + if (unbound_result_func) { + if (self->self || self->type) { + __pyx_FusedFunctionObject *unbound = (__pyx_FusedFunctionObject *) unbound_result_func; + Py_CLEAR(unbound->func.func_classobj); + Py_XINCREF(self->func.func_classobj); + unbound->func.func_classobj = self->func.func_classobj; + result_func = __pyx_FusedFunction_descr_get(unbound_result_func, + self->self, self->type); + } else { + result_func = unbound_result_func; + Py_INCREF(result_func); + } + } + Py_DECREF(signature); + Py_XDECREF(unbound_result_func); + return result_func; +} +static PyObject * +__pyx_FusedFunction_callfunction(PyObject *func, PyObject *args, PyObject *kw) +{ + __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func; + int static_specialized = (cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD && + !((__pyx_FusedFunctionObject *) func)->__signatures__); + if (cyfunc->flags & __Pyx_CYFUNCTION_CCLASS && !static_specialized) { + return __Pyx_CyFunction_CallAsMethod(func, args, kw); + } else { + return __Pyx_CyFunction_Call(func, args, kw); + } +} +static PyObject * +__pyx_FusedFunction_call(PyObject *func, PyObject *args, PyObject *kw) +{ + __pyx_FusedFunctionObject *binding_func = (__pyx_FusedFunctionObject *) func; + Py_ssize_t argc = PyTuple_GET_SIZE(args); + PyObject *new_args = NULL; + __pyx_FusedFunctionObject *new_func = NULL; + PyObject *result = NULL; + PyObject *self = NULL; + int is_staticmethod = binding_func->func.flags & __Pyx_CYFUNCTION_STATICMETHOD; + int is_classmethod = binding_func->func.flags & __Pyx_CYFUNCTION_CLASSMETHOD; + if (binding_func->self) { + Py_ssize_t i; + new_args = PyTuple_New(argc + 1); + if (!new_args) + return NULL; + self = binding_func->self; +#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) + Py_INCREF(self); +#endif + Py_INCREF(self); + PyTuple_SET_ITEM(new_args, 0, self); + for (i = 0; i < argc; i++) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + PyObject *item = PyTuple_GET_ITEM(args, i); + Py_INCREF(item); +#else + PyObject *item = PySequence_ITEM(args, i); if (unlikely(!item)) goto bad; +#endif + PyTuple_SET_ITEM(new_args, i + 1, item); + } + args = new_args; + } else if (binding_func->type) { + if (argc < 1) { + PyErr_SetString(PyExc_TypeError, "Need at least one argument, 0 given."); + return NULL; + } +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + self = PyTuple_GET_ITEM(args, 0); +#else + self = PySequence_ITEM(args, 0); if (unlikely(!self)) return NULL; +#endif + } + if (self && !is_classmethod && !is_staticmethod) { + int is_instance = PyObject_IsInstance(self, binding_func->type); + if (unlikely(!is_instance)) { + PyErr_Format(PyExc_TypeError, + "First argument should be of type %.200s, got %.200s.", + ((PyTypeObject *) binding_func->type)->tp_name, + self->ob_type->tp_name); + goto bad; + } else if (unlikely(is_instance == -1)) { + goto bad; + } + } +#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) + Py_XDECREF(self); + self = NULL; +#endif + if (binding_func->__signatures__) { + PyObject *tup; + if (is_staticmethod && binding_func->func.flags & __Pyx_CYFUNCTION_CCLASS) { + tup = PyTuple_Pack(3, args, + kw == NULL ? Py_None : kw, + binding_func->func.defaults_tuple); + if (unlikely(!tup)) goto bad; + new_func = (__pyx_FusedFunctionObject *) __Pyx_CyFunction_CallMethod( + func, binding_func->__signatures__, tup, NULL); + } else { + tup = PyTuple_Pack(4, binding_func->__signatures__, args, + kw == NULL ? Py_None : kw, + binding_func->func.defaults_tuple); + if (unlikely(!tup)) goto bad; + new_func = (__pyx_FusedFunctionObject *) __pyx_FusedFunction_callfunction(func, tup, NULL); + } + Py_DECREF(tup); + if (unlikely(!new_func)) + goto bad; + Py_XINCREF(binding_func->func.func_classobj); + Py_CLEAR(new_func->func.func_classobj); + new_func->func.func_classobj = binding_func->func.func_classobj; + func = (PyObject *) new_func; + } + result = __pyx_FusedFunction_callfunction(func, args, kw); +bad: +#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) + Py_XDECREF(self); +#endif + Py_XDECREF(new_args); + Py_XDECREF((PyObject *) new_func); + return result; +} +static PyMemberDef __pyx_FusedFunction_members[] = { + {(char *) "__signatures__", + T_OBJECT, + offsetof(__pyx_FusedFunctionObject, __signatures__), + READONLY, + 0}, + {0, 0, 0, 0, 0}, +}; +static PyMappingMethods __pyx_FusedFunction_mapping_methods = { + 0, + (binaryfunc) __pyx_FusedFunction_getitem, + 0, +}; +static PyTypeObject __pyx_FusedFunctionType_type = { + PyVarObject_HEAD_INIT(0, 0) + "fused_cython_function", + sizeof(__pyx_FusedFunctionObject), + 0, + (destructor) __pyx_FusedFunction_dealloc, + 0, + 0, + 0, +#if PY_MAJOR_VERSION < 3 + 0, +#else + 0, +#endif + 0, + 0, + 0, + &__pyx_FusedFunction_mapping_methods, + 0, + (ternaryfunc) __pyx_FusedFunction_call, + 0, + 0, + 0, + 0, + Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_BASETYPE, + 0, + (traverseproc) __pyx_FusedFunction_traverse, + (inquiry) __pyx_FusedFunction_clear, + 0, + 0, + 0, + 0, + 0, + __pyx_FusedFunction_members, + __pyx_CyFunction_getsets, + &__pyx_CyFunctionType_type, + 0, + __pyx_FusedFunction_descr_get, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, +#if PY_VERSION_HEX >= 0x030400a1 + 0, +#endif +#if PY_VERSION_HEX >= 0x030800b1 + 0, +#endif +#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, +#endif +}; +static int __pyx_FusedFunction_init(void) { + __pyx_FusedFunctionType_type.tp_base = __pyx_CyFunctionType; + __pyx_FusedFunctionType = __Pyx_FetchCommonType(&__pyx_FusedFunctionType_type); + if (__pyx_FusedFunctionType == NULL) { + return -1; + } + return 0; +} + +/* Py3ClassCreate */ + static PyObject *__Pyx_Py3MetaclassPrepare(PyObject *metaclass, PyObject *bases, PyObject *name, + PyObject *qualname, PyObject *mkw, PyObject *modname, PyObject *doc) { + PyObject *ns; + if (metaclass) { + PyObject *prep = __Pyx_PyObject_GetAttrStr(metaclass, __pyx_n_s_prepare); + if (prep) { + PyObject *pargs = PyTuple_Pack(2, name, bases); + if (unlikely(!pargs)) { + Py_DECREF(prep); + return NULL; + } + ns = PyObject_Call(prep, pargs, mkw); + Py_DECREF(prep); + Py_DECREF(pargs); + } else { + if (unlikely(!PyErr_ExceptionMatches(PyExc_AttributeError))) + return NULL; + PyErr_Clear(); + ns = PyDict_New(); + } + } else { + ns = PyDict_New(); + } + if (unlikely(!ns)) + return NULL; + if (unlikely(PyObject_SetItem(ns, __pyx_n_s_module, modname) < 0)) goto bad; + if (unlikely(PyObject_SetItem(ns, __pyx_n_s_qualname, qualname) < 0)) goto bad; + if (unlikely(doc && PyObject_SetItem(ns, __pyx_n_s_doc, doc) < 0)) goto bad; + return ns; +bad: + Py_DECREF(ns); + return NULL; +} +static PyObject *__Pyx_Py3ClassCreate(PyObject *metaclass, PyObject *name, PyObject *bases, + PyObject *dict, PyObject *mkw, + int calculate_metaclass, int allow_py2_metaclass) { + PyObject *result, *margs; + PyObject *owned_metaclass = NULL; + if (allow_py2_metaclass) { + owned_metaclass = PyObject_GetItem(dict, __pyx_n_s_metaclass); + if (owned_metaclass) { + metaclass = owned_metaclass; + } else if (likely(PyErr_ExceptionMatches(PyExc_KeyError))) { + PyErr_Clear(); + } else { + return NULL; + } + } + if (calculate_metaclass && (!metaclass || PyType_Check(metaclass))) { + metaclass = __Pyx_CalculateMetaclass((PyTypeObject*) metaclass, bases); + Py_XDECREF(owned_metaclass); + if (unlikely(!metaclass)) + return NULL; + owned_metaclass = metaclass; + } + margs = PyTuple_Pack(3, name, bases, dict); + if (unlikely(!margs)) { + result = NULL; + } else { + result = PyObject_Call(metaclass, margs, mkw); + Py_DECREF(margs); + } + Py_XDECREF(owned_metaclass); + return result; +} + +/* CLineInTraceback */ + #ifndef CYTHON_CLINE_IN_TRACEBACK +static int __Pyx_CLineForTraceback(CYTHON_NCP_UNUSED PyThreadState *tstate, int c_line) { + PyObject *use_cline; + PyObject *ptype, *pvalue, *ptraceback; +#if CYTHON_COMPILING_IN_CPYTHON + PyObject **cython_runtime_dict; +#endif + if (unlikely(!__pyx_cython_runtime)) { + return c_line; + } + __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); +#if CYTHON_COMPILING_IN_CPYTHON + cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime); + if (likely(cython_runtime_dict)) { + __PYX_PY_DICT_LOOKUP_IF_MODIFIED( + use_cline, *cython_runtime_dict, + __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback)) + } else +#endif + { + PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback); + if (use_cline_obj) { + use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True; + Py_DECREF(use_cline_obj); + } else { + PyErr_Clear(); + use_cline = NULL; + } + } + if (!use_cline) { + c_line = 0; + PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False); + } + else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) { + c_line = 0; + } + __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); + return c_line; +} +#endif + +/* CodeObjectCache */ + static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { + int start = 0, mid = 0, end = count - 1; + if (end >= 0 && code_line > entries[end].code_line) { + return count; + } + while (start < end) { + mid = start + (end - start) / 2; + if (code_line < entries[mid].code_line) { + end = mid; + } else if (code_line > entries[mid].code_line) { + start = mid + 1; + } else { + return mid; + } + } + if (code_line <= entries[mid].code_line) { + return mid; + } else { + return mid + 1; + } +} +static PyCodeObject *__pyx_find_code_object(int code_line) { + PyCodeObject* code_object; + int pos; + if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { + return NULL; + } + pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); + if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { + return NULL; + } + code_object = __pyx_code_cache.entries[pos].code_object; + Py_INCREF(code_object); + return code_object; +} +static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { + int pos, i; + __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; + if (unlikely(!code_line)) { + return; + } + if (unlikely(!entries)) { + entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); + if (likely(entries)) { + __pyx_code_cache.entries = entries; + __pyx_code_cache.max_count = 64; + __pyx_code_cache.count = 1; + entries[0].code_line = code_line; + entries[0].code_object = code_object; + Py_INCREF(code_object); + } + return; + } + pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); + if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { + PyCodeObject* tmp = entries[pos].code_object; + entries[pos].code_object = code_object; + Py_DECREF(tmp); + return; + } + if (__pyx_code_cache.count == __pyx_code_cache.max_count) { + int new_max = __pyx_code_cache.max_count + 64; + entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( + __pyx_code_cache.entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry)); + if (unlikely(!entries)) { + return; + } + __pyx_code_cache.entries = entries; + __pyx_code_cache.max_count = new_max; + } + for (i=__pyx_code_cache.count; i>pos; i--) { + entries[i] = entries[i-1]; + } + entries[pos].code_line = code_line; + entries[pos].code_object = code_object; + __pyx_code_cache.count++; + Py_INCREF(code_object); +} + +/* AddTraceback */ + #include "compile.h" +#include "frameobject.h" +#include "traceback.h" +static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( + const char *funcname, int c_line, + int py_line, const char *filename) { + PyCodeObject *py_code = 0; + PyObject *py_srcfile = 0; + PyObject *py_funcname = 0; + #if PY_MAJOR_VERSION < 3 + py_srcfile = PyString_FromString(filename); + #else + py_srcfile = PyUnicode_FromString(filename); + #endif + if (!py_srcfile) goto bad; + if (c_line) { + #if PY_MAJOR_VERSION < 3 + py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); + #else + py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); + #endif + } + else { + #if PY_MAJOR_VERSION < 3 + py_funcname = PyString_FromString(funcname); + #else + py_funcname = PyUnicode_FromString(funcname); + #endif + } + if (!py_funcname) goto bad; + py_code = __Pyx_PyCode_New( + 0, + 0, + 0, + 0, + 0, + __pyx_empty_bytes, /*PyObject *code,*/ + __pyx_empty_tuple, /*PyObject *consts,*/ + __pyx_empty_tuple, /*PyObject *names,*/ + __pyx_empty_tuple, /*PyObject *varnames,*/ + __pyx_empty_tuple, /*PyObject *freevars,*/ + __pyx_empty_tuple, /*PyObject *cellvars,*/ + py_srcfile, /*PyObject *filename,*/ + py_funcname, /*PyObject *name,*/ + py_line, + __pyx_empty_bytes /*PyObject *lnotab*/ + ); + Py_DECREF(py_srcfile); + Py_DECREF(py_funcname); + return py_code; +bad: + Py_XDECREF(py_srcfile); + Py_XDECREF(py_funcname); + return NULL; +} +static void __Pyx_AddTraceback(const char *funcname, int c_line, + int py_line, const char *filename) { + PyCodeObject *py_code = 0; + PyFrameObject *py_frame = 0; + PyThreadState *tstate = __Pyx_PyThreadState_Current; + if (c_line) { + c_line = __Pyx_CLineForTraceback(tstate, c_line); + } + py_code = __pyx_find_code_object(c_line ? -c_line : py_line); + if (!py_code) { + py_code = __Pyx_CreateCodeObjectForTraceback( + funcname, c_line, py_line, filename); + if (!py_code) goto bad; + __pyx_insert_code_object(c_line ? -c_line : py_line, py_code); + } + py_frame = PyFrame_New( + tstate, /*PyThreadState *tstate,*/ + py_code, /*PyCodeObject *code,*/ + __pyx_d, /*PyObject *globals,*/ + 0 /*PyObject *locals*/ + ); + if (!py_frame) goto bad; + __Pyx_PyFrame_SetLineNumber(py_frame, py_line); + PyTraceBack_Here(py_frame); +bad: + Py_XDECREF(py_code); + Py_XDECREF(py_frame); +} + +#if PY_MAJOR_VERSION < 3 +static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { + if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); + if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); + if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); + if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); + PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name); + return -1; +} +static void __Pyx_ReleaseBuffer(Py_buffer *view) { + PyObject *obj = view->obj; + if (!obj) return; + if (PyObject_CheckBuffer(obj)) { + PyBuffer_Release(view); + return; + } + if ((0)) {} + else if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); + view->obj = NULL; + Py_DECREF(obj); +} +#endif + + + /* MemviewSliceIsContig */ + static int +__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) +{ + int i, index, step, start; + Py_ssize_t itemsize = mvs.memview->view.itemsize; + if (order == 'F') { + step = 1; + start = 0; + } else { + step = -1; + start = ndim - 1; + } + for (i = 0; i < ndim; i++) { + index = start + step * i; + if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize) + return 0; + itemsize *= mvs.shape[index]; + } + return 1; +} + +/* OverlappingSlices */ + static void +__pyx_get_array_memory_extents(__Pyx_memviewslice *slice, + void **out_start, void **out_end, + int ndim, size_t itemsize) +{ + char *start, *end; + int i; + start = end = slice->data; + for (i = 0; i < ndim; i++) { + Py_ssize_t stride = slice->strides[i]; + Py_ssize_t extent = slice->shape[i]; + if (extent == 0) { + *out_start = *out_end = start; + return; + } else { + if (stride > 0) + end += stride * (extent - 1); + else + start += stride * (extent - 1); + } + } + *out_start = start; + *out_end = end + itemsize; +} +static int +__pyx_slices_overlap(__Pyx_memviewslice *slice1, + __Pyx_memviewslice *slice2, + int ndim, size_t itemsize) +{ + void *start1, *end1, *start2, *end2; + __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); + __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); + return (start1 < end2) && (start2 < end1); +} + +/* Capsule */ + static CYTHON_INLINE PyObject * +__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) +{ + PyObject *cobj; +#if PY_VERSION_HEX >= 0x02070000 + cobj = PyCapsule_New(p, sig, NULL); +#else + cobj = PyCObject_FromVoidPtr(p, NULL); +#endif + return cobj; +} + +/* TypeInfoCompare */ + static int +__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) +{ + int i; + if (!a || !b) + return 0; + if (a == b) + return 1; + if (a->size != b->size || a->typegroup != b->typegroup || + a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { + if (a->typegroup == 'H' || b->typegroup == 'H') { + return a->size == b->size; + } else { + return 0; + } + } + if (a->ndim) { + for (i = 0; i < a->ndim; i++) + if (a->arraysize[i] != b->arraysize[i]) + return 0; + } + if (a->typegroup == 'S') { + if (a->flags != b->flags) + return 0; + if (a->fields || b->fields) { + if (!(a->fields && b->fields)) + return 0; + for (i = 0; a->fields[i].type && b->fields[i].type; i++) { + __Pyx_StructField *field_a = a->fields + i; + __Pyx_StructField *field_b = b->fields + i; + if (field_a->offset != field_b->offset || + !__pyx_typeinfo_cmp(field_a->type, field_b->type)) + return 0; + } + return !a->fields[i].type && !b->fields[i].type; + } + } + return 1; +} + +/* MemviewSliceValidateAndInit */ + static int +__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) +{ + if (buf->shape[dim] <= 1) + return 1; + if (buf->strides) { + if (spec & __Pyx_MEMVIEW_CONTIG) { + if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { + if (unlikely(buf->strides[dim] != sizeof(void *))) { + PyErr_Format(PyExc_ValueError, + "Buffer is not indirectly contiguous " + "in dimension %d.", dim); + goto fail; + } + } else if (unlikely(buf->strides[dim] != buf->itemsize)) { + PyErr_SetString(PyExc_ValueError, + "Buffer and memoryview are not contiguous " + "in the same dimension."); + goto fail; + } + } + if (spec & __Pyx_MEMVIEW_FOLLOW) { + Py_ssize_t stride = buf->strides[dim]; + if (stride < 0) + stride = -stride; + if (unlikely(stride < buf->itemsize)) { + PyErr_SetString(PyExc_ValueError, + "Buffer and memoryview are not contiguous " + "in the same dimension."); + goto fail; + } + } + } else { + if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) { + PyErr_Format(PyExc_ValueError, + "C-contiguous buffer is not contiguous in " + "dimension %d", dim); + goto fail; + } else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) { + PyErr_Format(PyExc_ValueError, + "C-contiguous buffer is not indirect in " + "dimension %d", dim); + goto fail; + } else if (unlikely(buf->suboffsets)) { + PyErr_SetString(PyExc_ValueError, + "Buffer exposes suboffsets but no strides"); + goto fail; + } + } + return 1; +fail: + return 0; +} +static int +__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec) +{ + if (spec & __Pyx_MEMVIEW_DIRECT) { + if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) { + PyErr_Format(PyExc_ValueError, + "Buffer not compatible with direct access " + "in dimension %d.", dim); + goto fail; + } + } + if (spec & __Pyx_MEMVIEW_PTR) { + if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) { + PyErr_Format(PyExc_ValueError, + "Buffer is not indirectly accessible " + "in dimension %d.", dim); + goto fail; + } + } + return 1; +fail: + return 0; +} +static int +__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) +{ + int i; + if (c_or_f_flag & __Pyx_IS_F_CONTIG) { + Py_ssize_t stride = 1; + for (i = 0; i < ndim; i++) { + if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) { + PyErr_SetString(PyExc_ValueError, + "Buffer not fortran contiguous."); + goto fail; + } + stride = stride * buf->shape[i]; + } + } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { + Py_ssize_t stride = 1; + for (i = ndim - 1; i >- 1; i--) { + if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) { + PyErr_SetString(PyExc_ValueError, + "Buffer not C contiguous."); + goto fail; + } + stride = stride * buf->shape[i]; + } + } + return 1; +fail: + return 0; +} +static int __Pyx_ValidateAndInit_memviewslice( + int *axes_specs, + int c_or_f_flag, + int buf_flags, + int ndim, + __Pyx_TypeInfo *dtype, + __Pyx_BufFmt_StackElem stack[], + __Pyx_memviewslice *memviewslice, + PyObject *original_obj) +{ + struct __pyx_memoryview_obj *memview, *new_memview; + __Pyx_RefNannyDeclarations + Py_buffer *buf; + int i, spec = 0, retval = -1; + __Pyx_BufFmt_Context ctx; + int from_memoryview = __pyx_memoryview_check(original_obj); + __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); + if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) + original_obj)->typeinfo)) { + memview = (struct __pyx_memoryview_obj *) original_obj; + new_memview = NULL; + } else { + memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( + original_obj, buf_flags, 0, dtype); + new_memview = memview; + if (unlikely(!memview)) + goto fail; + } + buf = &memview->view; + if (unlikely(buf->ndim != ndim)) { + PyErr_Format(PyExc_ValueError, + "Buffer has wrong number of dimensions (expected %d, got %d)", + ndim, buf->ndim); + goto fail; + } + if (new_memview) { + __Pyx_BufFmt_Init(&ctx, stack, dtype); + if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail; + } + if (unlikely((unsigned) buf->itemsize != dtype->size)) { + PyErr_Format(PyExc_ValueError, + "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " + "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", + buf->itemsize, + (buf->itemsize > 1) ? "s" : "", + dtype->name, + dtype->size, + (dtype->size > 1) ? "s" : ""); + goto fail; + } + if (buf->len > 0) { + for (i = 0; i < ndim; i++) { + spec = axes_specs[i]; + if (unlikely(!__pyx_check_strides(buf, i, ndim, spec))) + goto fail; + if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec))) + goto fail; + } + if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag))) + goto fail; + } + if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, + new_memview != NULL) == -1)) { + goto fail; + } + retval = 0; + goto no_fail; +fail: + Py_XDECREF(new_memview); + retval = -1; +no_fail: + __Pyx_RefNannyFinishContext(); + return retval; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_float(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 1, + &__Pyx_TypeInfo_float, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_double(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 1, + &__Pyx_TypeInfo_double, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_short(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 1, + &__Pyx_TypeInfo_short, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 1, + &__Pyx_TypeInfo_int, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_long(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 1, + &__Pyx_TypeInfo_long, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* CIntFromPyVerify */ + #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ + __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) +#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ + __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) +#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ + {\ + func_type value = func_value;\ + if (sizeof(target_type) < sizeof(func_type)) {\ + if (unlikely(value != (func_type) (target_type) value)) {\ + func_type zero = 0;\ + if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ + return (target_type) -1;\ + if (is_unsigned && unlikely(value < zero))\ + goto raise_neg_overflow;\ + else\ + goto raise_overflow;\ + }\ + }\ + return (target_type) value;\ + } + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_float(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 2, + &__Pyx_TypeInfo_float, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 2, + &__Pyx_TypeInfo_double, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* Declarations */ + #if CYTHON_CCOMPLEX + #ifdef __cplusplus + static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { + return ::std::complex< float >(x, y); + } + #else + static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { + return x + y*(__pyx_t_float_complex)_Complex_I; + } + #endif +#else + static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { + __pyx_t_float_complex z; + z.real = x; + z.imag = y; + return z; + } +#endif + +/* Arithmetic */ + #if CYTHON_CCOMPLEX +#else + static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + return (a.real == b.real) && (a.imag == b.imag); + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + z.real = a.real + b.real; + z.imag = a.imag + b.imag; + return z; + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + z.real = a.real - b.real; + z.imag = a.imag - b.imag; + return z; + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + z.real = a.real * b.real - a.imag * b.imag; + z.imag = a.real * b.imag + a.imag * b.real; + return z; + } + #if 1 + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + if (b.imag == 0) { + return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); + } else if (fabsf(b.real) >= fabsf(b.imag)) { + if (b.real == 0 && b.imag == 0) { + return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag); + } else { + float r = b.imag / b.real; + float s = (float)(1.0) / (b.real + b.imag * r); + return __pyx_t_float_complex_from_parts( + (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); + } + } else { + float r = b.real / b.imag; + float s = (float)(1.0) / (b.imag + b.real * r); + return __pyx_t_float_complex_from_parts( + (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); + } + } + #else + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + if (b.imag == 0) { + return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); + } else { + float denom = b.real * b.real + b.imag * b.imag; + return __pyx_t_float_complex_from_parts( + (a.real * b.real + a.imag * b.imag) / denom, + (a.imag * b.real - a.real * b.imag) / denom); + } + } + #endif + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) { + __pyx_t_float_complex z; + z.real = -a.real; + z.imag = -a.imag; + return z; + } + static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) { + return (a.real == 0) && (a.imag == 0); + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) { + __pyx_t_float_complex z; + z.real = a.real; + z.imag = -a.imag; + return z; + } + #if 1 + static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) { + #if !defined(HAVE_HYPOT) || defined(_MSC_VER) + return sqrtf(z.real*z.real + z.imag*z.imag); + #else + return hypotf(z.real, z.imag); + #endif + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + float r, lnr, theta, z_r, z_theta; + if (b.imag == 0 && b.real == (int)b.real) { + if (b.real < 0) { + float denom = a.real * a.real + a.imag * a.imag; + a.real = a.real / denom; + a.imag = -a.imag / denom; + b.real = -b.real; + } + switch ((int)b.real) { + case 0: + z.real = 1; + z.imag = 0; + return z; + case 1: + return a; + case 2: + return __Pyx_c_prod_float(a, a); + case 3: + z = __Pyx_c_prod_float(a, a); + return __Pyx_c_prod_float(z, a); + case 4: + z = __Pyx_c_prod_float(a, a); + return __Pyx_c_prod_float(z, z); + } + } + if (a.imag == 0) { + if (a.real == 0) { + return a; + } else if (b.imag == 0) { + z.real = powf(a.real, b.real); + z.imag = 0; + return z; + } else if (a.real > 0) { + r = a.real; + theta = 0; + } else { + r = -a.real; + theta = atan2f(0.0, -1.0); + } + } else { + r = __Pyx_c_abs_float(a); + theta = atan2f(a.imag, a.real); + } + lnr = logf(r); + z_r = expf(lnr * b.real - theta * b.imag); + z_theta = theta * b.real + lnr * b.imag; + z.real = z_r * cosf(z_theta); + z.imag = z_r * sinf(z_theta); + return z; + } + #endif +#endif + +/* Declarations */ + #if CYTHON_CCOMPLEX + #ifdef __cplusplus + static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { + return ::std::complex< double >(x, y); + } + #else + static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { + return x + y*(__pyx_t_double_complex)_Complex_I; + } + #endif +#else + static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { + __pyx_t_double_complex z; + z.real = x; + z.imag = y; + return z; + } +#endif + +/* Arithmetic */ + #if CYTHON_CCOMPLEX +#else + static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + return (a.real == b.real) && (a.imag == b.imag); + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + z.real = a.real + b.real; + z.imag = a.imag + b.imag; + return z; + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + z.real = a.real - b.real; + z.imag = a.imag - b.imag; + return z; + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + z.real = a.real * b.real - a.imag * b.imag; + z.imag = a.real * b.imag + a.imag * b.real; + return z; + } + #if 1 + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + if (b.imag == 0) { + return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); + } else if (fabs(b.real) >= fabs(b.imag)) { + if (b.real == 0 && b.imag == 0) { + return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag); + } else { + double r = b.imag / b.real; + double s = (double)(1.0) / (b.real + b.imag * r); + return __pyx_t_double_complex_from_parts( + (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); + } + } else { + double r = b.real / b.imag; + double s = (double)(1.0) / (b.imag + b.real * r); + return __pyx_t_double_complex_from_parts( + (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); + } + } + #else + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + if (b.imag == 0) { + return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); + } else { + double denom = b.real * b.real + b.imag * b.imag; + return __pyx_t_double_complex_from_parts( + (a.real * b.real + a.imag * b.imag) / denom, + (a.imag * b.real - a.real * b.imag) / denom); + } + } + #endif + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) { + __pyx_t_double_complex z; + z.real = -a.real; + z.imag = -a.imag; + return z; + } + static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) { + return (a.real == 0) && (a.imag == 0); + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) { + __pyx_t_double_complex z; + z.real = a.real; + z.imag = -a.imag; + return z; + } + #if 1 + static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) { + #if !defined(HAVE_HYPOT) || defined(_MSC_VER) + return sqrt(z.real*z.real + z.imag*z.imag); + #else + return hypot(z.real, z.imag); + #endif + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + double r, lnr, theta, z_r, z_theta; + if (b.imag == 0 && b.real == (int)b.real) { + if (b.real < 0) { + double denom = a.real * a.real + a.imag * a.imag; + a.real = a.real / denom; + a.imag = -a.imag / denom; + b.real = -b.real; + } + switch ((int)b.real) { + case 0: + z.real = 1; + z.imag = 0; + return z; + case 1: + return a; + case 2: + return __Pyx_c_prod_double(a, a); + case 3: + z = __Pyx_c_prod_double(a, a); + return __Pyx_c_prod_double(z, a); + case 4: + z = __Pyx_c_prod_double(a, a); + return __Pyx_c_prod_double(z, z); + } + } + if (a.imag == 0) { + if (a.real == 0) { + return a; + } else if (b.imag == 0) { + z.real = pow(a.real, b.real); + z.imag = 0; + return z; + } else if (a.real > 0) { + r = a.real; + theta = 0; + } else { + r = -a.real; + theta = atan2(0.0, -1.0); + } + } else { + r = __Pyx_c_abs_double(a); + theta = atan2(a.imag, a.real); + } + lnr = log(r); + z_r = exp(lnr * b.real - theta * b.imag); + z_theta = theta * b.real + lnr * b.imag; + z.real = z_r * cos(z_theta); + z.imag = z_r * sin(z_theta); + return z; + } + #endif +#endif + +/* MemviewSliceCopyTemplate */ + static __Pyx_memviewslice +__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, + const char *mode, int ndim, + size_t sizeof_dtype, int contig_flag, + int dtype_is_object) +{ + __Pyx_RefNannyDeclarations + int i; + __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; + struct __pyx_memoryview_obj *from_memview = from_mvs->memview; + Py_buffer *buf = &from_memview->view; + PyObject *shape_tuple = NULL; + PyObject *temp_int = NULL; + struct __pyx_array_obj *array_obj = NULL; + struct __pyx_memoryview_obj *memview_obj = NULL; + __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); + for (i = 0; i < ndim; i++) { + if (unlikely(from_mvs->suboffsets[i] >= 0)) { + PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " + "indirect dimensions (axis %d)", i); + goto fail; + } + } + shape_tuple = PyTuple_New(ndim); + if (unlikely(!shape_tuple)) { + goto fail; + } + __Pyx_GOTREF(shape_tuple); + for(i = 0; i < ndim; i++) { + temp_int = PyInt_FromSsize_t(from_mvs->shape[i]); + if(unlikely(!temp_int)) { + goto fail; + } else { + PyTuple_SET_ITEM(shape_tuple, i, temp_int); + temp_int = NULL; + } + } + array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); + if (unlikely(!array_obj)) { + goto fail; + } + __Pyx_GOTREF(array_obj); + memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( + (PyObject *) array_obj, contig_flag, + dtype_is_object, + from_mvs->memview->typeinfo); + if (unlikely(!memview_obj)) + goto fail; + if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) + goto fail; + if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, + dtype_is_object) < 0)) + goto fail; + goto no_fail; +fail: + __Pyx_XDECREF(new_mvs.memview); + new_mvs.memview = NULL; + new_mvs.data = NULL; +no_fail: + __Pyx_XDECREF(shape_tuple); + __Pyx_XDECREF(temp_int); + __Pyx_XDECREF(array_obj); + __Pyx_RefNannyFinishContext(); + return new_mvs; +} + +/* CIntFromPy */ + static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const int neg_one = (int) -1, const_zero = (int) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(int) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (int) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (int) 0; + case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0]) + case 2: + if (8 * sizeof(int) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) { + return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(int) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) { + return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(int) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) { + return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (int) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(int) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (int) 0; + case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0]) + case -2: + if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { + return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(int) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { + return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { + return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(int) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { + return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { + return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(int) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { + return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + } +#endif + if (sizeof(int) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + int val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (int) -1; + } + } else { + int val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (int) -1; + val = __Pyx_PyInt_As_int(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to int"); + return (int) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to int"); + return (int) -1; +} + +/* CIntToPy */ + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const long neg_one = (long) -1, const_zero = (long) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(long) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(long) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(long) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(long), + little, !is_unsigned); + } +} + +/* CIntToPy */ + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const int neg_one = (int) -1, const_zero = (int) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(int) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(int) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(int) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(int), + little, !is_unsigned); + } +} + +/* CIntFromPy */ + static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const long neg_one = (long) -1, const_zero = (long) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(long) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (long) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (long) 0; + case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0]) + case 2: + if (8 * sizeof(long) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) { + return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(long) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) { + return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(long) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) { + return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (long) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(long) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (long) 0; + case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0]) + case -2: + if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(long) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(long) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(long) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + } +#endif + if (sizeof(long) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + long val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (long) -1; + } + } else { + long val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (long) -1; + val = __Pyx_PyInt_As_long(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to long"); + return (long) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to long"); + return (long) -1; +} + +/* CIntToPy */ + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const enum NPY_TYPES neg_one = (enum NPY_TYPES) -1, const_zero = (enum NPY_TYPES) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(enum NPY_TYPES) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(enum NPY_TYPES) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES), + little, !is_unsigned); + } +} + +/* BytesContains */ + static CYTHON_INLINE int __Pyx_BytesContains(PyObject* bytes, char character) { + const Py_ssize_t length = PyBytes_GET_SIZE(bytes); + char* char_start = PyBytes_AS_STRING(bytes); + return memchr(char_start, (unsigned char)character, (size_t)length) != NULL; +} + +/* ImportNumPyArray */ + static PyObject* __Pyx__ImportNumPyArray(void) { + PyObject *numpy_module, *ndarray_object = NULL; + numpy_module = __Pyx_Import(__pyx_n_s_numpy, NULL, 0); + if (likely(numpy_module)) { + ndarray_object = PyObject_GetAttrString(numpy_module, "ndarray"); + Py_DECREF(numpy_module); + } + if (unlikely(!ndarray_object)) { + PyErr_Clear(); + } + if (unlikely(!ndarray_object || !PyObject_TypeCheck(ndarray_object, &PyType_Type))) { + Py_XDECREF(ndarray_object); + Py_INCREF(Py_None); + ndarray_object = Py_None; + } + return ndarray_object; +} +static CYTHON_INLINE PyObject* __Pyx_ImportNumPyArrayTypeIfAvailable(void) { + if (unlikely(!__pyx_numpy_ndarray)) { + __pyx_numpy_ndarray = __Pyx__ImportNumPyArray(); + } + Py_INCREF(__pyx_numpy_ndarray); + return __pyx_numpy_ndarray; +} + +/* CIntFromPy */ + static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const char neg_one = (char) -1, const_zero = (char) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(char) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (char) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (char) 0; + case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0]) + case 2: + if (8 * sizeof(char) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) { + return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(char) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) { + return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(char) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) { + return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (char) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(char) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (char) 0; + case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0]) + case -2: + if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { + return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(char) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { + return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { + return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(char) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { + return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { + return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(char) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { + return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + } +#endif + if (sizeof(char) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + char val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (char) -1; + } + } else { + char val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (char) -1; + val = __Pyx_PyInt_As_char(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to char"); + return (char) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to char"); + return (char) -1; +} + +/* CheckBinaryVersion */ + static int __Pyx_check_binary_version(void) { + char ctversion[4], rtversion[4]; + PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); + PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); + if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) { + char message[200]; + PyOS_snprintf(message, sizeof(message), + "compiletime version %s of module '%.100s' " + "does not match runtime version %s", + ctversion, __Pyx_MODULE_NAME, rtversion); + return PyErr_WarnEx(NULL, message, 1); + } + return 0; +} + +/* FunctionImport */ + #ifndef __PYX_HAVE_RT_ImportFunction +#define __PYX_HAVE_RT_ImportFunction +static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig) { + PyObject *d = 0; + PyObject *cobj = 0; + union { + void (*fp)(void); + void *p; + } tmp; + d = PyObject_GetAttrString(module, (char *)"__pyx_capi__"); + if (!d) + goto bad; + cobj = PyDict_GetItemString(d, funcname); + if (!cobj) { + PyErr_Format(PyExc_ImportError, + "%.200s does not export expected C function %.200s", + PyModule_GetName(module), funcname); + goto bad; + } +#if PY_VERSION_HEX >= 0x02070000 + if (!PyCapsule_IsValid(cobj, sig)) { + PyErr_Format(PyExc_TypeError, + "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)", + PyModule_GetName(module), funcname, sig, PyCapsule_GetName(cobj)); + goto bad; + } + tmp.p = PyCapsule_GetPointer(cobj, sig); +#else + {const char *desc, *s1, *s2; + desc = (const char *)PyCObject_GetDesc(cobj); + if (!desc) + goto bad; + s1 = desc; s2 = sig; + while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; } + if (*s1 != *s2) { + PyErr_Format(PyExc_TypeError, + "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)", + PyModule_GetName(module), funcname, sig, desc); + goto bad; + } + tmp.p = PyCObject_AsVoidPtr(cobj);} +#endif + *f = tmp.fp; + if (!(*f)) + goto bad; + Py_DECREF(d); + return 0; +bad: + Py_XDECREF(d); + return -1; +} +#endif + +/* InitStrings */ + static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { + while (t->p) { + #if PY_MAJOR_VERSION < 3 + if (t->is_unicode) { + *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); + } else if (t->intern) { + *t->p = PyString_InternFromString(t->s); + } else { + *t->p = PyString_FromStringAndSize(t->s, t->n - 1); + } + #else + if (t->is_unicode | t->is_str) { + if (t->intern) { + *t->p = PyUnicode_InternFromString(t->s); + } else if (t->encoding) { + *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); + } else { + *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); + } + } else { + *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); + } + #endif + if (!*t->p) + return -1; + if (PyObject_Hash(*t->p) == -1) + return -1; + ++t; + } + return 0; +} + +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { + return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str)); +} +static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) { + Py_ssize_t ignore; + return __Pyx_PyObject_AsStringAndSize(o, &ignore); +} +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT +#if !CYTHON_PEP393_ENABLED +static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { + char* defenc_c; + PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); + if (!defenc) return NULL; + defenc_c = PyBytes_AS_STRING(defenc); +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + { + char* end = defenc_c + PyBytes_GET_SIZE(defenc); + char* c; + for (c = defenc_c; c < end; c++) { + if ((unsigned char) (*c) >= 128) { + PyUnicode_AsASCIIString(o); + return NULL; + } + } + } +#endif + *length = PyBytes_GET_SIZE(defenc); + return defenc_c; +} +#else +static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { + if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL; +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + if (likely(PyUnicode_IS_ASCII(o))) { + *length = PyUnicode_GET_LENGTH(o); + return PyUnicode_AsUTF8(o); + } else { + PyUnicode_AsASCIIString(o); + return NULL; + } +#else + return PyUnicode_AsUTF8AndSize(o, length); +#endif +} +#endif +#endif +static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT + if ( +#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + __Pyx_sys_getdefaultencoding_not_ascii && +#endif + PyUnicode_Check(o)) { + return __Pyx_PyUnicode_AsStringAndSize(o, length); + } else +#endif +#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) + if (PyByteArray_Check(o)) { + *length = PyByteArray_GET_SIZE(o); + return PyByteArray_AS_STRING(o); + } else +#endif + { + char* result; + int r = PyBytes_AsStringAndSize(o, &result, length); + if (unlikely(r < 0)) { + return NULL; + } else { + return result; + } + } +} +static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { + int is_true = x == Py_True; + if (is_true | (x == Py_False) | (x == Py_None)) return is_true; + else return PyObject_IsTrue(x); +} +static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { + int retval; + if (unlikely(!x)) return -1; + retval = __Pyx_PyObject_IsTrue(x); + Py_DECREF(x); + return retval; +} +static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) { +#if PY_MAJOR_VERSION >= 3 + if (PyLong_Check(result)) { + if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1, + "__int__ returned non-int (type %.200s). " + "The ability to return an instance of a strict subclass of int " + "is deprecated, and may be removed in a future version of Python.", + Py_TYPE(result)->tp_name)) { + Py_DECREF(result); + return NULL; + } + return result; + } +#endif + PyErr_Format(PyExc_TypeError, + "__%.4s__ returned non-%.4s (type %.200s)", + type_name, type_name, Py_TYPE(result)->tp_name); + Py_DECREF(result); + return NULL; +} +static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { +#if CYTHON_USE_TYPE_SLOTS + PyNumberMethods *m; +#endif + const char *name = NULL; + PyObject *res = NULL; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x) || PyLong_Check(x))) +#else + if (likely(PyLong_Check(x))) +#endif + return __Pyx_NewRef(x); +#if CYTHON_USE_TYPE_SLOTS + m = Py_TYPE(x)->tp_as_number; + #if PY_MAJOR_VERSION < 3 + if (m && m->nb_int) { + name = "int"; + res = m->nb_int(x); + } + else if (m && m->nb_long) { + name = "long"; + res = m->nb_long(x); + } + #else + if (likely(m && m->nb_int)) { + name = "int"; + res = m->nb_int(x); + } + #endif +#else + if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) { + res = PyNumber_Int(x); + } +#endif + if (likely(res)) { +#if PY_MAJOR_VERSION < 3 + if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) { +#else + if (unlikely(!PyLong_CheckExact(res))) { +#endif + return __Pyx_PyNumber_IntOrLongWrongResultType(res, name); + } + } + else if (!PyErr_Occurred()) { + PyErr_SetString(PyExc_TypeError, + "an integer is required"); + } + return res; +} +static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { + Py_ssize_t ival; + PyObject *x; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_CheckExact(b))) { + if (sizeof(Py_ssize_t) >= sizeof(long)) + return PyInt_AS_LONG(b); + else + return PyInt_AsSsize_t(b); + } +#endif + if (likely(PyLong_CheckExact(b))) { + #if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)b)->ob_digit; + const Py_ssize_t size = Py_SIZE(b); + if (likely(__Pyx_sst_abs(size) <= 1)) { + ival = likely(size) ? digits[0] : 0; + if (size == -1) ival = -ival; + return ival; + } else { + switch (size) { + case 2: + if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { + return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -2: + if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case 3: + if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { + return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -3: + if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case 4: + if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { + return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -4: + if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + } + } + #endif + return PyLong_AsSsize_t(b); + } + x = PyNumber_Index(b); + if (!x) return -1; + ival = PyInt_AsSsize_t(x); + Py_DECREF(x); + return ival; +} +static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) { + return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False); +} +static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { + return PyInt_FromSize_t(ival); +} + + +#endif /* Py_PYTHON_H */ diff --git a/cornac/models/comparer/recom_comparer_obj.pyx b/cornac/models/comparer/recom_comparer_obj.pyx new file mode 100644 index 000000000..c1584bbef --- /dev/null +++ b/cornac/models/comparer/recom_comparer_obj.pyx @@ -0,0 +1,699 @@ +# Copyright 2018 The Cornac Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================ + +# cython: language_level=3 + +cimport cython +from cython.parallel import prange, parallel +from cython cimport floating, integral, bint +from libc.math cimport sqrt, log, exp +from scipy.linalg.cython_blas cimport sdot, ddot +from ...exception import ScoreException +from ...utils.common import intersects +from ..recommender import Recommender +from collections import Counter, OrderedDict +import scipy.sparse as sp +import numpy as np +cimport numpy as np +from itertools import combinations +from time import time + + +MODEL_TYPES = {"Dominant": 0, "Finer": 1, "Around": 2} + + +cdef floating _dot(int n, floating *x, int incx, + floating *y, int incy) nogil: + if floating is float: + return sdot(&n, x, &incx, y, &incy) + else: + return ddot(&n, x, &incx, y, &incy) + + +class ComparERObj(Recommender): + """Explainable Recommendation with Comparative Constraints on Objective Aspect-Level Quality + + Parameters + ---------- + num_explicit_factors: int, optional, default: 128 + The dimension of the explicit factors. + + num_latent_factors: int, optional, default: 128 + The dimension of the latent factors. + + num_most_cared_aspects: int, optional, default: 100 + The number of most cared aspects for each user. + + rating_scale: float, optional, default: 5.0 + The maximum rating score of the dataset. + + alpha: float, optional, default: 0.9 + Trace off factor for constructing ranking score. + + lambda_x: float, optional, default: 1 + The regularization parameter for user aspect attentions. + + lambda_y: float, optional, default: 1 + The regularization parameter for item aspect qualities. + + lambda_u: float, optional, default: 0.01 + The regularization parameter for user and item explicit factors. + + lambda_h: float, optional, default: 0.01 + The regularization parameter for user and item latent factors. + + lambda_v: float, optional, default: 0.01 + The regularization parameter for V. + + use_item_aspect_popularity: boolean, optional, default: True + When False, item aspect frequency is omitted from item aspect quality computation formular.\ + Specifically, :math:`Y_{ij} = 1 + \\frac{N - 1}{1 + e^{-s_{ij}}}` + if :math:`p_i` is reviewed on feature :math:`F_j` + + min_user_freq: int, optional, default: 2 + Apply constraint for user with minimum number of ratings, \ + where `min_user_freq = 2` means only apply constraints on users with at least 2 ratings. + + min_pair_freq: int, optional, default: 1 + Apply constraint for the purchased pairs (earlier-later bought) with minimum number of pairs, \ + where `min_pair_freq = 2` means only apply constraints on pairs appear at least twice. + + max_pair_freq: int, optional, default: 1e9 + Apply constraint for the purchased pairs with frequency at most `max_pair_freq`, \ + where `max_pair_freq = 2` means only apply constraints on pairs appear at most twice. + + max_iter: int, optional, default: 1000 + Maximum number of iterations or the number of epochs. + + name: string, optional, default: 'ComparERObj' + The name of the recommender model. + + num_threads: int, optional, default: 0 + Number of parallel threads for training. + If 0, all CPU cores will be utilized. + + trainable: boolean, optional, default: True + When False, the model is not trained and Cornac assumes that the model already + pre-trained (U1, U2, V, H1, and H2 are not None). + + verbose: boolean, optional, default: False + When True, running logs are displayed. + + init_params: dictionary, optional, default: None + List of initial parameters, e.g., init_params = {'U1':U1, 'U2':U2, 'V':V', H1':H1, 'H2':H2} + U1: ndarray, shape (n_users, n_explicit_factors) + The user explicit factors, optional initialization via init_params. + U2: ndarray, shape (n_ratings, n_explicit_factors) + The item explicit factors, optional initialization via init_params. + V: ndarray, shape (n_aspects, n_explict_factors) + The aspect factors, optional initialization via init_params. + H1: ndarray, shape (n_users, n_latent_factors) + The user latent factors, optional initialization via init_params. + H2: ndarray, shape (n_ratings, n_latent_factors) + The item latent factors, optional initialization via init_params. + + seed: int, optional, default: None + Random seed for weight initialization. + + References + ---------- + * Trung-Hoang Le and Hady W. Lauw. "Explainable Recommendation with Comparative Constraints on Product Aspects." + ACM International Conference on Web Search and Data Mining (WSDM). 2021. + """ + + def __init__(self, name="ComparERObj", + model_type="Finer", + num_explicit_factors=128, num_latent_factors=128, num_most_cared_aspects=100, + rating_scale=5.0, alpha=0.9, + lambda_x=1, lambda_y=1, lambda_u=0.01, lambda_h=0.01, lambda_v=0.01, lambda_d=0.01, + use_item_aspect_popularity=True, + min_user_freq=2, + min_pair_freq=1, + max_pair_freq=1e9, + min_common_freq=1, + enum_window=None, + use_item_pair_popularity=True, + max_iter=1000, + num_threads=0, + early_stopping=None, trainable=True, verbose=False, init_params=None, seed=None): + + Recommender.__init__(self, name=name, trainable=trainable, verbose=verbose) + self.model_type = self._validate_model_type(model_type) + self.num_explicit_factors = num_explicit_factors + self.num_latent_factors = num_latent_factors + self.num_most_cared_aspects = num_most_cared_aspects + self.rating_scale = rating_scale + self.alpha = alpha + self.lambda_x = lambda_x + self.lambda_y = lambda_y + self.lambda_u = lambda_u + self.lambda_h = lambda_h + self.lambda_v = lambda_v + self.lambda_d = lambda_d + self.min_user_freq = min_user_freq + self.min_pair_freq = min_pair_freq + self.max_pair_freq = max_pair_freq + self.min_common_freq = min_common_freq + self.enum_window = enum_window + self.use_item_aspect_popularity = use_item_aspect_popularity + self.use_item_pair_popularity = use_item_pair_popularity + self.max_iter = max_iter + self.early_stopping = early_stopping + self.init_params = {} if init_params is None else init_params + self.seed = seed + import multiprocessing + if seed is not None: + self.num_threads = 1 + elif num_threads > 0 and num_threads < multiprocessing.cpu_count(): + self.num_threads = num_threads + else: + self.num_threads = multiprocessing.cpu_count() + + def _validate_model_type(self, model_type): + if model_type not in MODEL_TYPES: + raise ValueError('Invalid model type: {}\n' + 'Only support: {}'.format(model_type, MODEL_TYPES.keys())) + return MODEL_TYPES[model_type] + + def fit(self, train_set, val_set=None): + """Fit the model to observations. + + Parameters + ---------- + train_set: :obj:`cornac.data.Dataset`, required + User-Item preference data as well as additional modalities. + + val_set: :obj:`cornac.data.Dataset`, optional, default: None + User-Item preference data for model selection purposes (e.g., early stopping). + + Returns + ------- + self : object + """ + Recommender.fit(self, train_set, val_set) + + self._init_params() + + if not self.trainable: + return + + (A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts) = self._build_matrices(self.train_set) + A_user_counts = np.ediff1d(A.indptr) + A_item_counts = np.ediff1d(A.tocsc().indptr) + A_uids = np.repeat(np.arange(self.train_set.num_users), A_user_counts).astype(np.int32) + X_user_counts = np.ediff1d(X.indptr) + X_aspect_counts = np.ediff1d(X.tocsc().indptr) + X_uids = np.repeat(np.arange(self.train_set.num_users), X_user_counts).astype(np.int32) + Y_item_counts = np.ediff1d(Y.indptr) + Y_aspect_counts = np.ediff1d(Y.tocsc().indptr) + Y_iids = np.repeat(np.arange(self.train_set.num_items), Y_item_counts).astype(np.int32) + + self._fit_efm(self.num_threads, + A.data, A_uids, A.indices, A_user_counts, A_item_counts, + X.data, X_uids, X.indices, X_user_counts, X_aspect_counts, + Y.data, Y_iids, Y.indices, Y_item_counts, Y_aspect_counts, + earlier_indices, later_indices, aspect_indices, pair_counts, + self.U1, self.U2, self.V, self.H1, self.H2) + + def _init_params(self): + from ...utils import get_rng + from ...utils.init_utils import uniform + + rng = get_rng(self.seed) + num_factors = self.num_explicit_factors + self.num_latent_factors + high = np.sqrt(self.rating_scale / num_factors) + self.U1 = self.init_params.get('U1', uniform((self.train_set.num_users, self.num_explicit_factors), + high=high, random_state=rng)) + self.U2 = self.init_params.get('U2', uniform((self.train_set.num_items, self.num_explicit_factors), + high=high, random_state=rng)) + self.V = self.init_params.get('V', uniform((self.train_set.sentiment.num_aspects, self.num_explicit_factors), + high=high, random_state=rng)) + self.H1 = self.init_params.get('H1', uniform((self.train_set.num_users, self.num_latent_factors), + high=high, random_state=rng)) + self.H2 = self.init_params.get('H2', uniform((self.train_set.num_items, self.num_latent_factors), + high=high, random_state=rng)) + + def get_params(self): + """Get model parameters in the form of dictionary including matrices: U1, U2, V, H1, H2 + """ + return { + 'U1': self.U1, + 'U2': self.U2, + 'V': self.V, + 'H1': self.H1, + 'H2': self.H2, + } + + @cython.boundscheck(False) + @cython.wraparound(False) + def _fit_efm(self, int num_threads, + floating[:] A, integral[:] A_uids, integral[:] A_iids, integral[:] A_user_counts, integral[:] A_item_counts, + floating[:] X, integral[:] X_uids, integral[:] X_aids, integral[:] X_user_counts, integral[:] X_aspect_counts, + floating[:] Y, integral[:] Y_iids, integral[:] Y_aids, integral[:] Y_item_counts, integral[:] Y_aspect_counts, + integral[:] earlier_indices, integral[:] later_indices, integral[:] aspect_indices, integral[:] pair_counts, + floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + """Fit the model parameters (U1, U2, V, H1, H2) + """ + cdef: + int model_type = self.model_type + int FINER_MODEL = MODEL_TYPES["Finer"] + int DOM_MODEL = MODEL_TYPES["Dominant"] + int AROUND_MODEL = MODEL_TYPES["Around"] + + int num_users = self.train_set.num_users + int num_items = self.train_set.num_items + int num_aspects = self.train_set.sentiment.num_aspects + int num_explicit_factors = self.num_explicit_factors + int num_latent_factors = self.num_latent_factors + int min_pair_freq = self.min_pair_freq + int max_pair_freq = self.max_pair_freq + bint use_item_pair_popularity = self.use_item_pair_popularity + + floating lambda_x = self.lambda_x + floating lambda_y = self.lambda_y + floating lambda_u = self.lambda_u + floating lambda_h = self.lambda_h + floating lambda_v = self.lambda_v + floating lambda_d = self.lambda_d + + floating prediction, score, score_i, score_j, loss, aspect_bpr_loss, diff, grad, z, eps = 1e-9 + int t_count = 1, correct = 0 + int i, j, k, f, idx, t + + np.ndarray[np.float32_t, ndim=2] U1_numerator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + np.ndarray[np.float32_t, ndim=2] U1_denominator = np.empty((num_users, num_explicit_factors), dtype=np.float32) + np.ndarray[np.float32_t, ndim=2] U2_numerator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + np.ndarray[np.float32_t, ndim=2] U2_denominator = np.empty((num_items, num_explicit_factors), dtype=np.float32) + np.ndarray[np.float32_t, ndim=2] V_numerator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + np.ndarray[np.float32_t, ndim=2] V_denominator = np.empty((num_aspects, num_explicit_factors), dtype=np.float32) + np.ndarray[np.float32_t, ndim=2] H1_numerator = np.empty((num_users, num_latent_factors), dtype=np.float32) + np.ndarray[np.float32_t, ndim=2] H1_denominator = np.empty((num_users, num_latent_factors), dtype=np.float32) + np.ndarray[np.float32_t, ndim=2] H2_numerator = np.empty((num_items, num_latent_factors), dtype=np.float32) + np.ndarray[np.float32_t, ndim=2] H2_denominator = np.empty((num_items, num_latent_factors), dtype=np.float32) + + for t in range(1, self.max_iter + 1): + + loss = 0. + aspect_bpr_loss = 0. + correct = 0 + U1_numerator.fill(0) + U1_denominator.fill(0) + U2_numerator.fill(0) + U2_denominator.fill(0) + V_numerator.fill(0) + V_denominator.fill(0) + H1_numerator.fill(0) + H1_denominator.fill(0) + H2_numerator.fill(0) + H2_denominator.fill(0) + + with nogil, parallel(num_threads=num_threads): + # compute numerators and denominators for all factors + for idx in prange(pair_counts.shape[0]): + i = earlier_indices[idx] + j = later_indices[idx] + k = aspect_indices[idx] + t_count = pair_counts[idx] + if t_count < min_pair_freq or t_count > max_pair_freq: + continue + score_i = _dot(num_explicit_factors, &U2[i, 0], 1, &V[k, 0], 1) + score_j = _dot(num_explicit_factors, &U2[j, 0], 1, &V[k, 0], 1) + if (model_type == FINER_MODEL) or ((model_type == DOM_MODEL) and (score_i < score_j)) or ((model_type == AROUND_MODEL) and (score_i > score_j)): + diff = score_j - score_i + if not use_item_pair_popularity: + t_count = 1 + aspect_bpr_loss -= lambda_d * (1.0 + log(t_count)) * log(1.0 / (1.0 + exp(-diff))) + z = 1.0 / (1.0 + exp(diff)) + if z < .5: + correct += 1 + grad = lambda_d * (1.0 + log(t_count)) * z + for f in range(num_explicit_factors): + U2_denominator[i, f] += grad * V[k, f] + U2_numerator[j, f] += grad * V[k, f] + V_denominator[k, f] += grad * U2[i, f] + V_numerator[k, f] += grad * U2[j, f] + + for idx in prange(A.shape[0]): + i = A_uids[idx] + j = A_iids[idx] + prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + score = A[idx] + loss += (prediction - score) * (prediction - score) + for k in range(num_explicit_factors): + U1_numerator[i, k] += score * U2[j, k] + U1_denominator[i, k] += prediction * U2[j, k] + U2_numerator[j, k] += score * U1[i, k] + U2_denominator[j, k] += prediction * U1[i, k] + + for k in range(num_latent_factors): + H1_numerator[i, k] += score * H2[j, k] + H1_denominator[i, k] += prediction * H2[j, k] + H2_numerator[j, k] += score * H1[i, k] + H2_denominator[j, k] += prediction * H1[i, k] + + for idx in prange(X.shape[0]): + i = X_uids[idx] + j = X_aids[idx] + prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &V[j, 0], 1) + score = X[idx] + loss += lambda_x * (prediction - score) * (prediction - score) + for k in range(num_explicit_factors): + V_numerator[j, k] += lambda_x * score * U1[i, k] + V_denominator[j, k] += lambda_x * prediction * U1[i, k] + U1_numerator[i, k] += lambda_x * score * V[j, k] + U1_denominator[i, k] += lambda_x * prediction * V[j, k] + + for idx in prange(Y.shape[0]): + i = Y_iids[idx] + j = Y_aids[idx] + prediction = _dot(num_explicit_factors, &U2[i, 0], 1, &V[j, 0], 1) + score = Y[idx] + loss += lambda_y * (prediction - score) * (prediction - score) + for k in range(num_explicit_factors): + V_numerator[j, k] += lambda_y * score * U2[i, k] + V_denominator[j, k] += lambda_y * prediction * U2[i, k] + U2_numerator[i, k] += lambda_y * score * V[j, k] + U2_denominator[i, k] += lambda_y * prediction * V[j, k] + + # update V + for i in prange(num_aspects): + for j in range(num_explicit_factors): + loss += lambda_v * V[i, j] * V[i, j] + V_denominator[i, j] += (X_aspect_counts[i] + Y_aspect_counts[i]) * lambda_v * V[i, j] + eps + V[i, j] *= sqrt(V_numerator[i, j] / V_denominator[i, j]) + + # update U1, H1 + for i in prange(num_users): + for j in range(num_explicit_factors): + loss += lambda_u * U1[i, j] * U1[i, j] + U1_denominator[i, j] += (A_user_counts[i] + X_user_counts[i])* lambda_u * U1[i, j] + eps + U1[i, j] *= sqrt(U1_numerator[i, j] / U1_denominator[i, j]) + for j in range(num_latent_factors): + loss += lambda_h * H1[i, j] * H1[i, j] + H1_denominator[i, j] += A_user_counts[i] * lambda_h * H1[i, j] + eps + H1[i, j] *= sqrt(H1_numerator[i, j] / H1_denominator[i, j]) + + # update U2, H2 + for i in prange(num_items): + for j in range(num_explicit_factors): + loss += lambda_u * U2[i, j] * U2[i, j] + U2_denominator[i, j] += (A_item_counts[i] + Y_item_counts[i]) * lambda_u * U2[i, j] + eps + U2[i, j] *= sqrt(U2_numerator[i, j] / U2_denominator[i, j]) + for j in range(num_latent_factors): + loss += lambda_h * H2[i, j] * H2[i, j] + H2_denominator[i, j] += A_item_counts[i] * lambda_h * H2[i, j] + eps + H2[i, j] *= sqrt(H2_numerator[i, j] / H2_denominator[i, j]) + + if self.verbose: + print('iter: %d, loss: %.2f, aspect bpr loss: %.2f, correct: %d' % (t, loss, aspect_bpr_loss, correct)) + + if self.early_stopping is not None and self.early_stop(**self.early_stopping): + break + + if self.verbose: + print('Optimization finished!') + + @cython.boundscheck(False) + @cython.wraparound(False) + def _get_loss(self, int num_threads, + floating[:] A, integral[:] A_uids, integral[:] A_iids, + floating[:, :] U1, floating[:, :] U2, floating[:, :] V, floating[:, :] H1, floating[:, :] H2): + cdef: + int num_explicit_factors = self.num_explicit_factors + int num_latent_factors = self.num_latent_factors + floating prediction, score, loss + int i, j, idx + + loss = 0. + with nogil, parallel(num_threads=num_threads): + for idx in prange(A.shape[0]): + i = A_uids[idx] + j = A_iids[idx] + prediction = _dot(num_explicit_factors, &U1[i, 0], 1, &U2[j, 0], 1) \ + + _dot(num_latent_factors, &H1[i, 0], 1, &H2[j, 0], 1) + score = A[idx] + loss += (prediction - score) * (prediction - score) + + if self.verbose: + print('loss:', loss) + + return loss + + def _build_rating_matrix(self, data_set): + start_time = time() + ratings = [] + map_uid = [] + map_iid = [] + + if data_set is not None: + for uid, iid, rating in data_set.uir_iter(): + if self.train_set.is_unk_user(uid) or self.train_set.is_unk_item(iid): + continue + ratings.append(rating) + map_uid.append(uid) + map_iid.append(iid) + ratings = np.asarray(ratings, dtype=np.float32).flatten() + map_uid = np.asarray(map_uid, dtype=np.int32).flatten() + map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + rating_matrix = sp.csr_matrix((ratings, (map_uid, map_iid)), + shape=(self.train_set.num_users, self.train_set.num_items)) + + if self.verbose: + print('Building rating matrix completed in %d s' % (time() - start_time)) + + return rating_matrix + + def _build_chrono_purchased_pairs(self, data_set, Y): + start_time = time() + from tqdm import tqdm + chrono_purchased_pairs = Counter() + for (item_ids, *_) in tqdm(data_set.chrono_user_data.values(), desc='Get purchased pairs'): + if len(item_ids) >= self.min_user_freq: + window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + continue + chrono_purchased_pairs[(earlier_item_idx, later_item_idx)] += 1 + + pair_counts = Counter() + + not_dominated_pairs = set() + common_aspect_counts = Counter() + for (earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), desc='Get skyline aspects'): + for k in Y[later_item_idx].indices: + if Y[later_item_idx, k] > Y[earlier_item_idx, k]: + pair_counts[(earlier_item_idx, later_item_idx, k)] += count + not_dominated_pairs.add((earlier_item_idx, later_item_idx)) + if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0: + common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 + + earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [] + for (earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), desc='Enumerate index'): + if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: + continue + earlier_indices.append(earlier_item_idx) + later_indices.append(later_item_idx) + aspect_indices.append(aspect_idx) + pair_freq.append(count) + earlier_indices = np.asarray(earlier_indices, dtype=np.int32).flatten() + later_indices = np.asarray(later_indices, dtype=np.int32).flatten() + aspect_indices = np.asarray(aspect_indices, dtype=np.int32).flatten() + pair_freq = np.asarray(pair_freq, dtype=np.int32).flatten() + + if self.verbose: + print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) + print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( + self.min_pair_freq, + pair_freq[pair_freq>=self.min_pair_freq].shape[0], + pair_freq.min(), + pair_freq.max(), + pair_freq.mean())) + print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( + sum(chrono_purchased_pairs.values()), + len(chrono_purchased_pairs), + len(not_dominated_pairs), + len(pair_freq) + )) + + return earlier_indices, later_indices, aspect_indices, pair_freq + + def _build_user_attention_matrix(self, data_set, sentiment): + start_time = time() + attention_scores = [] + map_uid = [] + map_aspect_id = [] + for uid, sentiment_tup_ids_by_item in sentiment.user_sentiment.items(): + if self.train_set.is_unk_user(uid): + continue + user_aspects = [tup[0] + for tup_id in sentiment_tup_ids_by_item.values() + for tup in sentiment.sentiment[tup_id]] + user_aspect_count = Counter(user_aspects) + for aid, count in user_aspect_count.items(): + attention_scores.append(self._compute_attention_score(count)) + map_uid.append(uid) + map_aspect_id.append(aid) + attention_scores = np.asarray(attention_scores, dtype=np.float32).flatten() + map_uid = np.asarray(map_uid, dtype=np.int32).flatten() + map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + X = sp.csr_matrix((attention_scores, (map_uid, map_aspect_id)), + shape=(self.train_set.num_users, sentiment.num_aspects)) + + if self.verbose: + print('Building user aspect attention matrix completed in %d s' % (time() - start_time)) + + return X + + def _build_item_quality_matrix(self, data_set, sentiment): + start_time = time() + quality_scores = [] + map_iid = [] + map_aspect_id = [] + for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): + if self.train_set.is_unk_item(iid): + continue + item_aspects = [tup[0] + for tup_id in sentiment_tup_ids_by_user.values() + for tup in sentiment.sentiment[tup_id]] + item_aspect_count = Counter(item_aspects) + total_sentiment_by_aspect = OrderedDict() + for tup_id in sentiment_tup_ids_by_user.values(): + for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: + total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity + for aid, total_sentiment in total_sentiment_by_aspect.items(): + map_iid.append(iid) + map_aspect_id.append(aid) + if self.use_item_aspect_popularity: + quality_scores.append(self._compute_quality_score(total_sentiment)) + else: + avg_sentiment = total_sentiment / item_aspect_count[aid] + quality_scores.append(self._compute_quality_score(avg_sentiment)) + quality_scores = np.asarray(quality_scores, dtype=np.float32).flatten() + map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + Y = sp.csr_matrix((quality_scores, (map_iid, map_aspect_id)), + shape=(self.train_set.num_items, sentiment.num_aspects)) + + if self.verbose: + print('Building item aspect quality matrix completed in %d s' % (time() - start_time)) + + return Y + + def _build_matrices(self, data_set): + sentiment = self.train_set.sentiment + A = self._build_rating_matrix(data_set) + X = self._build_user_attention_matrix(data_set, sentiment) + Y = self._build_item_quality_matrix(data_set, sentiment) + earlier_indices, later_indices, aspect_indices, pair_counts = self._build_chrono_purchased_pairs(data_set, Y) + + if self.verbose: + print('Building matrices completed!') + + return A, X, Y, earlier_indices, later_indices, aspect_indices, pair_counts + + def _compute_attention_score(self, count): + return 1 + (self.rating_scale - 1) * (2 / (1 + np.exp(-count)) - 1) + + def _compute_quality_score(self, sentiment): + return 1 + (self.rating_scale - 1) / (1 + np.exp(-sentiment)) + + def monitor_value(self): + """Calculating monitored value used for early stopping on validation set (`val_set`). + This function will be called by `early_stop()` function. + + Returns + ------- + res : float + Monitored value on validation set. + Return `None` if `val_set` is `None`. + """ + if self.val_set is None: + return None + + A = self._build_rating_matrix(self.val_set) + A_user_counts = np.ediff1d(A.indptr) + A_uids = np.repeat(np.arange(self.train_set.num_users), A_user_counts).astype(A.indices.dtype) + + return -self._get_loss(self.num_threads, + A.data.astype(np.float32), A_uids, A.indices, + self.U1, self.U2, self.V, self.H1, self.H2) + + def score(self, user_id, item_id=None): + """Predict the scores/ratings of a user for an item. + + Parameters + ---------- + user_id: int, required + The index of the user for whom to perform score prediction. + + item_id: int, optional, default: None + The index of the item for that to perform score prediction. + If None, scores for all known items will be returned. + + Returns + ------- + res : A scalar or a Numpy array + Relative scores that the user gives to the item or to all known items + + """ + if item_id is None: + if self.train_set.is_unk_user(user_id): + raise ScoreException("Can't make score prediction for (user_id=%d" & user_id) + item_scores = self.U2.dot(self.U1[user_id, :]) + self.H2.dot(self.H1[user_id, :]) + return item_scores + else: + if self.train_set.is_unk_user(user_id) or self.train_set.is_unk_item(item_id): + raise ScoreException("Can't make score prediction for (user_id=%d, item_id=%d)" % (user_id, item_id)) + item_score = self.U2[item_id, :].dot(self.U1[user_id, :]) + self.H2[item_id, :].dot(self.H1[user_id, :]) + return item_score + + def rank(self, user_id, item_ids=None): + """Rank all test items for a given user. + + Parameters + ---------- + user_id: int, required + The index of the user for whom to perform item raking. + + item_ids: 1d array, optional, default: None + A list of candidate item indices to be ranked by the user. + If `None`, list of ranked known item indices and their scores will be returned + + Returns + ------- + Tuple of `item_rank`, and `item_scores`. The order of values + in item_scores are corresponding to the order of their ids in item_ids + + """ + X_ = self.U1[user_id, :].dot(self.V.T) + most_cared_aspects_indices = (-X_).argsort()[:self.num_most_cared_aspects] + most_cared_X_ = X_[most_cared_aspects_indices] + most_cared_Y_ = self.U2.dot(self.V[most_cared_aspects_indices, :].T) + explicit_scores = most_cared_X_.dot(most_cared_Y_.T) / (self.num_most_cared_aspects * self.rating_scale) + item_scores = self.alpha * explicit_scores + (1 - self.alpha) * self.score(user_id) + + if item_ids is None: + item_scores = item_scores + item_rank = item_scores.argsort()[::-1] + else: + num_items = max(self.train_set.num_items, max(item_ids) + 1) + item_scores = np.ones(num_items) * np.min(item_scores) + item_scores[:self.train_set.num_items] = item_scores + item_rank = item_scores.argsort()[::-1] + item_rank = intersects(item_rank, item_ids, assume_unique=True) + item_scores = item_scores[item_ids] + return item_rank, item_scores diff --git a/cornac/models/comparer/recom_comparer_sub.cpp b/cornac/models/comparer/recom_comparer_sub.cpp new file mode 100644 index 000000000..ac2142b66 --- /dev/null +++ b/cornac/models/comparer/recom_comparer_sub.cpp @@ -0,0 +1,64518 @@ +/* Generated by Cython 0.29.22 */ + +/* BEGIN: Cython Metadata +{ + "distutils": { + "depends": [ + "/home/hoangle/anaconda3/envs/pre/lib/python3.6/site-packages/numpy/core/include/numpy/arrayobject.h", + "/home/hoangle/anaconda3/envs/pre/lib/python3.6/site-packages/numpy/core/include/numpy/ufuncobject.h", + "cornac/models/bpr/recom_bpr.h" + ], + "extra_compile_args": [ + "-Wno-unused-function", + "-Wno-maybe-uninitialized", + "-O3", + "-ffast-math", + "-fopenmp", + "-std=c++11" + ], + "extra_link_args": [ + "-fopenmp", + "-std=c++11" + ], + "include_dirs": [ + "cornac/models/comparer", + "/home/hoangle/anaconda3/envs/pre/lib/python3.6/site-packages/numpy/core/include", + "cornac/utils/external" + ], + "language": "c++", + "name": "cornac.models.comparer.recom_comparer_sub", + "sources": [ + "cornac/models/comparer/recom_comparer_sub.pyx" + ] + }, + "module_name": "cornac.models.comparer.recom_comparer_sub" +} +END: Cython Metadata */ + +#define PY_SSIZE_T_CLEAN +#include "Python.h" +#ifndef Py_PYTHON_H + #error Python headers needed to compile C extensions, please install development version of Python. +#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) + #error Cython requires Python 2.6+ or Python 3.3+. +#else +#define CYTHON_ABI "0_29_22" +#define CYTHON_HEX_VERSION 0x001D16F0 +#define CYTHON_FUTURE_DIVISION 1 +#include +#ifndef offsetof + #define offsetof(type, member) ( (size_t) & ((type*)0) -> member ) +#endif +#if !defined(WIN32) && !defined(MS_WINDOWS) + #ifndef __stdcall + #define __stdcall + #endif + #ifndef __cdecl + #define __cdecl + #endif + #ifndef __fastcall + #define __fastcall + #endif +#endif +#ifndef DL_IMPORT + #define DL_IMPORT(t) t +#endif +#ifndef DL_EXPORT + #define DL_EXPORT(t) t +#endif +#define __PYX_COMMA , +#ifndef HAVE_LONG_LONG + #if PY_VERSION_HEX >= 0x02070000 + #define HAVE_LONG_LONG + #endif +#endif +#ifndef PY_LONG_LONG + #define PY_LONG_LONG LONG_LONG +#endif +#ifndef Py_HUGE_VAL + #define Py_HUGE_VAL HUGE_VAL +#endif +#ifdef PYPY_VERSION + #define CYTHON_COMPILING_IN_PYPY 1 + #define CYTHON_COMPILING_IN_PYSTON 0 + #define CYTHON_COMPILING_IN_CPYTHON 0 + #undef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 0 + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #if PY_VERSION_HEX < 0x03050000 + #undef CYTHON_USE_ASYNC_SLOTS + #define CYTHON_USE_ASYNC_SLOTS 0 + #elif !defined(CYTHON_USE_ASYNC_SLOTS) + #define CYTHON_USE_ASYNC_SLOTS 1 + #endif + #undef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 0 + #undef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 0 + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #undef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 1 + #undef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 0 + #undef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 0 + #undef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 0 + #undef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 0 + #undef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT 0 + #undef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE 0 + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 0 +#elif defined(PYSTON_VERSION) + #define CYTHON_COMPILING_IN_PYPY 0 + #define CYTHON_COMPILING_IN_PYSTON 1 + #define CYTHON_COMPILING_IN_CPYTHON 0 + #ifndef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 1 + #endif + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #undef CYTHON_USE_ASYNC_SLOTS + #define CYTHON_USE_ASYNC_SLOTS 0 + #undef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 0 + #ifndef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 1 + #endif + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #ifndef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 0 + #endif + #ifndef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 1 + #endif + #ifndef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 1 + #endif + #undef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 0 + #undef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 0 + #undef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT 0 + #undef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE 0 + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 0 +#else + #define CYTHON_COMPILING_IN_PYPY 0 + #define CYTHON_COMPILING_IN_PYSTON 0 + #define CYTHON_COMPILING_IN_CPYTHON 1 + #ifndef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 1 + #endif + #if PY_VERSION_HEX < 0x02070000 + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #elif !defined(CYTHON_USE_PYTYPE_LOOKUP) + #define CYTHON_USE_PYTYPE_LOOKUP 1 + #endif + #if PY_MAJOR_VERSION < 3 + #undef CYTHON_USE_ASYNC_SLOTS + #define CYTHON_USE_ASYNC_SLOTS 0 + #elif !defined(CYTHON_USE_ASYNC_SLOTS) + #define CYTHON_USE_ASYNC_SLOTS 1 + #endif + #if PY_VERSION_HEX < 0x02070000 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #elif !defined(CYTHON_USE_PYLONG_INTERNALS) + #define CYTHON_USE_PYLONG_INTERNALS 1 + #endif + #ifndef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 1 + #endif + #ifndef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 1 + #endif + #if PY_VERSION_HEX < 0x030300F0 + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #elif !defined(CYTHON_USE_UNICODE_WRITER) + #define CYTHON_USE_UNICODE_WRITER 1 + #endif + #ifndef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 0 + #endif + #ifndef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 1 + #endif + #ifndef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 1 + #endif + #ifndef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 1 + #endif + #ifndef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 1 + #endif + #ifndef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000) + #endif + #ifndef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1) + #endif + #ifndef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1) + #endif + #ifndef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3) + #endif +#endif +#if !defined(CYTHON_FAST_PYCCALL) +#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1) +#endif +#if CYTHON_USE_PYLONG_INTERNALS + #include "longintrepr.h" + #undef SHIFT + #undef BASE + #undef MASK + #ifdef SIZEOF_VOID_P + enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) }; + #endif +#endif +#ifndef __has_attribute + #define __has_attribute(x) 0 +#endif +#ifndef __has_cpp_attribute + #define __has_cpp_attribute(x) 0 +#endif +#ifndef CYTHON_RESTRICT + #if defined(__GNUC__) + #define CYTHON_RESTRICT __restrict__ + #elif defined(_MSC_VER) && _MSC_VER >= 1400 + #define CYTHON_RESTRICT __restrict + #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define CYTHON_RESTRICT restrict + #else + #define CYTHON_RESTRICT + #endif +#endif +#ifndef CYTHON_UNUSED +# if defined(__GNUC__) +# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) +# define CYTHON_UNUSED __attribute__ ((__unused__)) +# else +# define CYTHON_UNUSED +# endif +# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) +# define CYTHON_UNUSED __attribute__ ((__unused__)) +# else +# define CYTHON_UNUSED +# endif +#endif +#ifndef CYTHON_MAYBE_UNUSED_VAR +# if defined(__cplusplus) + template void CYTHON_MAYBE_UNUSED_VAR( const T& ) { } +# else +# define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x) +# endif +#endif +#ifndef CYTHON_NCP_UNUSED +# if CYTHON_COMPILING_IN_CPYTHON +# define CYTHON_NCP_UNUSED +# else +# define CYTHON_NCP_UNUSED CYTHON_UNUSED +# endif +#endif +#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None) +#ifdef _MSC_VER + #ifndef _MSC_STDINT_H_ + #if _MSC_VER < 1300 + typedef unsigned char uint8_t; + typedef unsigned int uint32_t; + #else + typedef unsigned __int8 uint8_t; + typedef unsigned __int32 uint32_t; + #endif + #endif +#else + #include +#endif +#ifndef CYTHON_FALLTHROUGH + #if defined(__cplusplus) && __cplusplus >= 201103L + #if __has_cpp_attribute(fallthrough) + #define CYTHON_FALLTHROUGH [[fallthrough]] + #elif __has_cpp_attribute(clang::fallthrough) + #define CYTHON_FALLTHROUGH [[clang::fallthrough]] + #elif __has_cpp_attribute(gnu::fallthrough) + #define CYTHON_FALLTHROUGH [[gnu::fallthrough]] + #endif + #endif + #ifndef CYTHON_FALLTHROUGH + #if __has_attribute(fallthrough) + #define CYTHON_FALLTHROUGH __attribute__((fallthrough)) + #else + #define CYTHON_FALLTHROUGH + #endif + #endif + #if defined(__clang__ ) && defined(__apple_build_version__) + #if __apple_build_version__ < 7000000 + #undef CYTHON_FALLTHROUGH + #define CYTHON_FALLTHROUGH + #endif + #endif +#endif + +#ifndef __cplusplus + #error "Cython files generated with the C++ option must be compiled with a C++ compiler." +#endif +#ifndef CYTHON_INLINE + #if defined(__clang__) + #define CYTHON_INLINE __inline__ __attribute__ ((__unused__)) + #else + #define CYTHON_INLINE inline + #endif +#endif +template +void __Pyx_call_destructor(T& x) { + x.~T(); +} +template +class __Pyx_FakeReference { + public: + __Pyx_FakeReference() : ptr(NULL) { } + __Pyx_FakeReference(const T& ref) : ptr(const_cast(&ref)) { } + T *operator->() { return ptr; } + T *operator&() { return ptr; } + operator T&() { return *ptr; } + template bool operator ==(U other) { return *ptr == other; } + template bool operator !=(U other) { return *ptr != other; } + private: + T *ptr; +}; + +#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag) + #define Py_OptimizeFlag 0 +#endif +#define __PYX_BUILD_PY_SSIZE_T "n" +#define CYTHON_FORMAT_SSIZE_T "z" +#if PY_MAJOR_VERSION < 3 + #define __Pyx_BUILTIN_MODULE_NAME "__builtin__" + #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) + #define __Pyx_DefaultClassType PyClass_Type +#else + #define __Pyx_BUILTIN_MODULE_NAME "builtins" +#if PY_VERSION_HEX >= 0x030800A4 && PY_VERSION_HEX < 0x030800B2 + #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a, 0, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) +#else + #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) +#endif + #define __Pyx_DefaultClassType PyType_Type +#endif +#ifndef Py_TPFLAGS_CHECKTYPES + #define Py_TPFLAGS_CHECKTYPES 0 +#endif +#ifndef Py_TPFLAGS_HAVE_INDEX + #define Py_TPFLAGS_HAVE_INDEX 0 +#endif +#ifndef Py_TPFLAGS_HAVE_NEWBUFFER + #define Py_TPFLAGS_HAVE_NEWBUFFER 0 +#endif +#ifndef Py_TPFLAGS_HAVE_FINALIZE + #define Py_TPFLAGS_HAVE_FINALIZE 0 +#endif +#ifndef METH_STACKLESS + #define METH_STACKLESS 0 +#endif +#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL) + #ifndef METH_FASTCALL + #define METH_FASTCALL 0x80 + #endif + typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs); + typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args, + Py_ssize_t nargs, PyObject *kwnames); +#else + #define __Pyx_PyCFunctionFast _PyCFunctionFast + #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords +#endif +#if CYTHON_FAST_PYCCALL +#define __Pyx_PyFastCFunction_Check(func)\ + ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))))) +#else +#define __Pyx_PyFastCFunction_Check(func) 0 +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc) + #define PyObject_Malloc(s) PyMem_Malloc(s) + #define PyObject_Free(p) PyMem_Free(p) + #define PyObject_Realloc(p) PyMem_Realloc(p) +#endif +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1 + #define PyMem_RawMalloc(n) PyMem_Malloc(n) + #define PyMem_RawRealloc(p, n) PyMem_Realloc(p, n) + #define PyMem_RawFree(p) PyMem_Free(p) +#endif +#if CYTHON_COMPILING_IN_PYSTON + #define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co) + #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno) +#else + #define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0) + #define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno) +#endif +#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000 + #define __Pyx_PyThreadState_Current PyThreadState_GET() +#elif PY_VERSION_HEX >= 0x03060000 + #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet() +#elif PY_VERSION_HEX >= 0x03000000 + #define __Pyx_PyThreadState_Current PyThreadState_GET() +#else + #define __Pyx_PyThreadState_Current _PyThreadState_Current +#endif +#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT) +#include "pythread.h" +#define Py_tss_NEEDS_INIT 0 +typedef int Py_tss_t; +static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { + *key = PyThread_create_key(); + return 0; +} +static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { + Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); + *key = Py_tss_NEEDS_INIT; + return key; +} +static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) { + PyObject_Free(key); +} +static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) { + return *key != Py_tss_NEEDS_INIT; +} +static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) { + PyThread_delete_key(*key); + *key = Py_tss_NEEDS_INIT; +} +static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { + return PyThread_set_key_value(*key, value); +} +static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { + return PyThread_get_key_value(*key); +} +#endif +#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) +#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) +#else +#define __Pyx_PyDict_NewPresized(n) PyDict_New() +#endif +#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION + #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y) + #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y) +#else + #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y) + #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y) +#endif +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS +#define __Pyx_PyDict_GetItemStr(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash) +#else +#define __Pyx_PyDict_GetItemStr(dict, name) PyDict_GetItem(dict, name) +#endif +#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND) + #define CYTHON_PEP393_ENABLED 1 + #define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\ + 0 : _PyUnicode_Ready((PyObject *)(op))) + #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u) + #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i) + #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u) + #define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u) + #define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u) + #define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i) + #define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch) + #if defined(PyUnicode_IS_READY) && defined(PyUnicode_GET_SIZE) + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u))) + #else + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_LENGTH(u)) + #endif +#else + #define CYTHON_PEP393_ENABLED 0 + #define PyUnicode_1BYTE_KIND 1 + #define PyUnicode_2BYTE_KIND 2 + #define PyUnicode_4BYTE_KIND 4 + #define __Pyx_PyUnicode_READY(op) (0) + #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u) + #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i])) + #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111) + #define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE)) + #define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u)) + #define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i])) + #define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch) + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u)) +#endif +#if CYTHON_COMPILING_IN_PYPY + #define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b) + #define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b) +#else + #define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b) + #define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\ + PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b)) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains) + #define PyUnicode_Contains(u, s) PySequence_Contains(u, s) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check) + #define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format) + #define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt) +#endif +#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b)) +#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b)) +#if PY_MAJOR_VERSION >= 3 + #define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b) +#else + #define __Pyx_PyString_Format(a, b) PyString_Format(a, b) +#endif +#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII) + #define PyObject_ASCII(o) PyObject_Repr(o) +#endif +#if PY_MAJOR_VERSION >= 3 + #define PyBaseString_Type PyUnicode_Type + #define PyStringObject PyUnicodeObject + #define PyString_Type PyUnicode_Type + #define PyString_Check PyUnicode_Check + #define PyString_CheckExact PyUnicode_CheckExact +#ifndef PyObject_Unicode + #define PyObject_Unicode PyObject_Str +#endif +#endif +#if PY_MAJOR_VERSION >= 3 + #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj) + #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj) +#else + #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj)) + #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj)) +#endif +#ifndef PySet_CheckExact + #define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type) +#endif +#if PY_VERSION_HEX >= 0x030900A4 + #define __Pyx_SET_REFCNT(obj, refcnt) Py_SET_REFCNT(obj, refcnt) + #define __Pyx_SET_SIZE(obj, size) Py_SET_SIZE(obj, size) +#else + #define __Pyx_SET_REFCNT(obj, refcnt) Py_REFCNT(obj) = (refcnt) + #define __Pyx_SET_SIZE(obj, size) Py_SIZE(obj) = (size) +#endif +#if CYTHON_ASSUME_SAFE_MACROS + #define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq) +#else + #define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq) +#endif +#if PY_MAJOR_VERSION >= 3 + #define PyIntObject PyLongObject + #define PyInt_Type PyLong_Type + #define PyInt_Check(op) PyLong_Check(op) + #define PyInt_CheckExact(op) PyLong_CheckExact(op) + #define PyInt_FromString PyLong_FromString + #define PyInt_FromUnicode PyLong_FromUnicode + #define PyInt_FromLong PyLong_FromLong + #define PyInt_FromSize_t PyLong_FromSize_t + #define PyInt_FromSsize_t PyLong_FromSsize_t + #define PyInt_AsLong PyLong_AsLong + #define PyInt_AS_LONG PyLong_AS_LONG + #define PyInt_AsSsize_t PyLong_AsSsize_t + #define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask + #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask + #define PyNumber_Int PyNumber_Long +#endif +#if PY_MAJOR_VERSION >= 3 + #define PyBoolObject PyLongObject +#endif +#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY + #ifndef PyUnicode_InternFromString + #define PyUnicode_InternFromString(s) PyUnicode_FromString(s) + #endif +#endif +#if PY_VERSION_HEX < 0x030200A4 + typedef long Py_hash_t; + #define __Pyx_PyInt_FromHash_t PyInt_FromLong + #define __Pyx_PyInt_AsHash_t PyInt_AsLong +#else + #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t + #define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t +#endif +#if PY_MAJOR_VERSION >= 3 + #define __Pyx_PyMethod_New(func, self, klass) ((self) ? ((void)(klass), PyMethod_New(func, self)) : __Pyx_NewRef(func)) +#else + #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass) +#endif +#if CYTHON_USE_ASYNC_SLOTS + #if PY_VERSION_HEX >= 0x030500B1 + #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods + #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async) + #else + #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved)) + #endif +#else + #define __Pyx_PyType_AsAsync(obj) NULL +#endif +#ifndef __Pyx_PyAsyncMethodsStruct + typedef struct { + unaryfunc am_await; + unaryfunc am_aiter; + unaryfunc am_anext; + } __Pyx_PyAsyncMethodsStruct; +#endif + +#if defined(WIN32) || defined(MS_WINDOWS) + #define _USE_MATH_DEFINES +#endif +#include +#ifdef NAN +#define __PYX_NAN() ((float) NAN) +#else +static CYTHON_INLINE float __PYX_NAN() { + float value; + memset(&value, 0xFF, sizeof(value)); + return value; +} +#endif +#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL) +#define __Pyx_truncl trunc +#else +#define __Pyx_truncl truncl +#endif + +#define __PYX_MARK_ERR_POS(f_index, lineno) \ + { __pyx_filename = __pyx_f[f_index]; (void)__pyx_filename; __pyx_lineno = lineno; (void)__pyx_lineno; __pyx_clineno = __LINE__; (void)__pyx_clineno; } +#define __PYX_ERR(f_index, lineno, Ln_error) \ + { __PYX_MARK_ERR_POS(f_index, lineno) goto Ln_error; } + +#ifndef __PYX_EXTERN_C + #ifdef __cplusplus + #define __PYX_EXTERN_C extern "C" + #else + #define __PYX_EXTERN_C extern + #endif +#endif + +#define __PYX_HAVE__cornac__models__comparer__recom_comparer_sub +#define __PYX_HAVE_API__cornac__models__comparer__recom_comparer_sub +/* Early includes */ +#include +#include +#include +#include "numpy/arrayobject.h" +#include "numpy/ufuncobject.h" +#include "ios" +#include "new" +#include "stdexcept" +#include "typeinfo" +#include + + #if __cplusplus > 199711L + #include + + namespace cython_std { + template typename std::remove_reference::type&& move(T& t) noexcept { return std::move(t); } + template typename std::remove_reference::type&& move(T&& t) noexcept { return std::move(t); } + } + + #endif + +#include +#include +#include +#include "../bpr/recom_bpr.h" +#include "pythread.h" +#include +#include "pystate.h" +#ifdef _OPENMP +#include +#endif /* _OPENMP */ + +#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS) +#define CYTHON_WITHOUT_ASSERTIONS +#endif + +typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding; + const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; + +#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 +#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0 +#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8) +#define __PYX_DEFAULT_STRING_ENCODING "" +#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString +#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize +#define __Pyx_uchar_cast(c) ((unsigned char)c) +#define __Pyx_long_cast(x) ((long)x) +#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\ + (sizeof(type) < sizeof(Py_ssize_t)) ||\ + (sizeof(type) > sizeof(Py_ssize_t) &&\ + likely(v < (type)PY_SSIZE_T_MAX ||\ + v == (type)PY_SSIZE_T_MAX) &&\ + (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\ + v == (type)PY_SSIZE_T_MIN))) ||\ + (sizeof(type) == sizeof(Py_ssize_t) &&\ + (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\ + v == (type)PY_SSIZE_T_MAX))) ) +static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) { + return (size_t) i < (size_t) limit; +} +#if defined (__cplusplus) && __cplusplus >= 201103L + #include + #define __Pyx_sst_abs(value) std::abs(value) +#elif SIZEOF_INT >= SIZEOF_SIZE_T + #define __Pyx_sst_abs(value) abs(value) +#elif SIZEOF_LONG >= SIZEOF_SIZE_T + #define __Pyx_sst_abs(value) labs(value) +#elif defined (_MSC_VER) + #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value)) +#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define __Pyx_sst_abs(value) llabs(value) +#elif defined (__GNUC__) + #define __Pyx_sst_abs(value) __builtin_llabs(value) +#else + #define __Pyx_sst_abs(value) ((value<0) ? -value : value) +#endif +static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*); +static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); +#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s)) +#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l) +#define __Pyx_PyBytes_FromString PyBytes_FromString +#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*); +#if PY_MAJOR_VERSION < 3 + #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString + #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize +#else + #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString + #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize +#endif +#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s) +#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s) +#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s) +#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s) +#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s) +static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { + const Py_UNICODE *u_end = u; + while (*u_end++) ; + return (size_t)(u_end - u - 1); +} +#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) +#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode +#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode +#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj) +#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None) +static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b); +static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); +static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*); +static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x); +#define __Pyx_PySequence_Tuple(obj)\ + (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj)) +static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); +static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); +#if CYTHON_ASSUME_SAFE_MACROS +#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) +#else +#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) +#endif +#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) +#if PY_MAJOR_VERSION >= 3 +#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x)) +#else +#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x)) +#endif +#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x)) +#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII +static int __Pyx_sys_getdefaultencoding_not_ascii; +static int __Pyx_init_sys_getdefaultencoding_params(void) { + PyObject* sys; + PyObject* default_encoding = NULL; + PyObject* ascii_chars_u = NULL; + PyObject* ascii_chars_b = NULL; + const char* default_encoding_c; + sys = PyImport_ImportModule("sys"); + if (!sys) goto bad; + default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL); + Py_DECREF(sys); + if (!default_encoding) goto bad; + default_encoding_c = PyBytes_AsString(default_encoding); + if (!default_encoding_c) goto bad; + if (strcmp(default_encoding_c, "ascii") == 0) { + __Pyx_sys_getdefaultencoding_not_ascii = 0; + } else { + char ascii_chars[128]; + int c; + for (c = 0; c < 128; c++) { + ascii_chars[c] = c; + } + __Pyx_sys_getdefaultencoding_not_ascii = 1; + ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); + if (!ascii_chars_u) goto bad; + ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); + if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { + PyErr_Format( + PyExc_ValueError, + "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.", + default_encoding_c); + goto bad; + } + Py_DECREF(ascii_chars_u); + Py_DECREF(ascii_chars_b); + } + Py_DECREF(default_encoding); + return 0; +bad: + Py_XDECREF(default_encoding); + Py_XDECREF(ascii_chars_u); + Py_XDECREF(ascii_chars_b); + return -1; +} +#endif +#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 +#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) +#else +#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) +#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT +static char* __PYX_DEFAULT_STRING_ENCODING; +static int __Pyx_init_sys_getdefaultencoding_params(void) { + PyObject* sys; + PyObject* default_encoding = NULL; + char* default_encoding_c; + sys = PyImport_ImportModule("sys"); + if (!sys) goto bad; + default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); + Py_DECREF(sys); + if (!default_encoding) goto bad; + default_encoding_c = PyBytes_AsString(default_encoding); + if (!default_encoding_c) goto bad; + __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1); + if (!__PYX_DEFAULT_STRING_ENCODING) goto bad; + strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); + Py_DECREF(default_encoding); + return 0; +bad: + Py_XDECREF(default_encoding); + return -1; +} +#endif +#endif + + +/* Test for GCC > 2.95 */ +#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))) + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) +#else /* !__GNUC__ or GCC < 2.95 */ + #define likely(x) (x) + #define unlikely(x) (x) +#endif /* __GNUC__ */ +static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; } + +static PyObject *__pyx_m = NULL; +static PyObject *__pyx_d; +static PyObject *__pyx_b; +static PyObject *__pyx_cython_runtime = NULL; +static PyObject *__pyx_empty_tuple; +static PyObject *__pyx_empty_bytes; +static PyObject *__pyx_empty_unicode; +static int __pyx_lineno; +static int __pyx_clineno = 0; +static const char * __pyx_cfilenm= __FILE__; +static const char *__pyx_filename; + +/* Header.proto */ +#if !defined(CYTHON_CCOMPLEX) + #if defined(__cplusplus) + #define CYTHON_CCOMPLEX 1 + #elif defined(_Complex_I) + #define CYTHON_CCOMPLEX 1 + #else + #define CYTHON_CCOMPLEX 0 + #endif +#endif +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + #include + #else + #include + #endif +#endif +#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__) + #undef _Complex_I + #define _Complex_I 1.0fj +#endif + + +static const char *__pyx_f[] = { + "cornac/models/comparer/recom_comparer_sub.pyx", + "__init__.pxd", + "stringsource", + "type.pxd", + "cornac/utils/fast_dict.pxd", + "cornac/models/bpr/recom_bpr.pxd", +}; +/* BufferFormatStructs.proto */ +#define IS_UNSIGNED(type) (((type) -1) > 0) +struct __Pyx_StructField_; +#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0) +typedef struct { + const char* name; + struct __Pyx_StructField_* fields; + size_t size; + size_t arraysize[8]; + int ndim; + char typegroup; + char is_unsigned; + int flags; +} __Pyx_TypeInfo; +typedef struct __Pyx_StructField_ { + __Pyx_TypeInfo* type; + const char* name; + size_t offset; +} __Pyx_StructField; +typedef struct { + __Pyx_StructField* field; + size_t parent_offset; +} __Pyx_BufFmt_StackElem; +typedef struct { + __Pyx_StructField root; + __Pyx_BufFmt_StackElem* head; + size_t fmt_offset; + size_t new_count, enc_count; + size_t struct_alignment; + int is_complex; + char enc_type; + char new_packmode; + char enc_packmode; + char is_valid_array; +} __Pyx_BufFmt_Context; + +/* NoFastGil.proto */ +#define __Pyx_PyGILState_Ensure PyGILState_Ensure +#define __Pyx_PyGILState_Release PyGILState_Release +#define __Pyx_FastGIL_Remember() +#define __Pyx_FastGIL_Forget() +#define __Pyx_FastGilFuncInit() + +/* MemviewSliceStruct.proto */ +struct __pyx_memoryview_obj; +typedef struct { + struct __pyx_memoryview_obj *memview; + char *data; + Py_ssize_t shape[8]; + Py_ssize_t strides[8]; + Py_ssize_t suboffsets[8]; +} __Pyx_memviewslice; +#define __Pyx_MemoryView_Len(m) (m.shape[0]) + +/* Atomics.proto */ +#include +#ifndef CYTHON_ATOMICS + #define CYTHON_ATOMICS 1 +#endif +#define __pyx_atomic_int_type int +#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\ + (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\ + !defined(__i386__) + #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1) + #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1) + #ifdef __PYX_DEBUG_ATOMICS + #warning "Using GNU atomics" + #endif +#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0 + #include + #undef __pyx_atomic_int_type + #define __pyx_atomic_int_type LONG + #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value) + #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value) + #ifdef __PYX_DEBUG_ATOMICS + #pragma message ("Using MSVC atomics") + #endif +#elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0 + #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value) + #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value) + #ifdef __PYX_DEBUG_ATOMICS + #warning "Using Intel atomics" + #endif +#else + #undef CYTHON_ATOMICS + #define CYTHON_ATOMICS 0 + #ifdef __PYX_DEBUG_ATOMICS + #warning "Not using atomics" + #endif +#endif +typedef volatile __pyx_atomic_int_type __pyx_atomic_int; +#if CYTHON_ATOMICS + #define __pyx_add_acquisition_count(memview)\ + __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) + #define __pyx_sub_acquisition_count(memview)\ + __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) +#else + #define __pyx_add_acquisition_count(memview)\ + __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) + #define __pyx_sub_acquisition_count(memview)\ + __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) +#endif + +/* ForceInitThreads.proto */ +#ifndef __PYX_FORCE_INIT_THREADS + #define __PYX_FORCE_INIT_THREADS 0 +#endif + + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":775 + * # in Cython to enable them only on the right systems. + * + * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< + * ctypedef npy_int16 int16_t + * ctypedef npy_int32 int32_t + */ +typedef npy_int8 __pyx_t_5numpy_int8_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":776 + * + * ctypedef npy_int8 int8_t + * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< + * ctypedef npy_int32 int32_t + * ctypedef npy_int64 int64_t + */ +typedef npy_int16 __pyx_t_5numpy_int16_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":777 + * ctypedef npy_int8 int8_t + * ctypedef npy_int16 int16_t + * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< + * ctypedef npy_int64 int64_t + * #ctypedef npy_int96 int96_t + */ +typedef npy_int32 __pyx_t_5numpy_int32_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":778 + * ctypedef npy_int16 int16_t + * ctypedef npy_int32 int32_t + * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< + * #ctypedef npy_int96 int96_t + * #ctypedef npy_int128 int128_t + */ +typedef npy_int64 __pyx_t_5numpy_int64_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":782 + * #ctypedef npy_int128 int128_t + * + * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< + * ctypedef npy_uint16 uint16_t + * ctypedef npy_uint32 uint32_t + */ +typedef npy_uint8 __pyx_t_5numpy_uint8_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":783 + * + * ctypedef npy_uint8 uint8_t + * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< + * ctypedef npy_uint32 uint32_t + * ctypedef npy_uint64 uint64_t + */ +typedef npy_uint16 __pyx_t_5numpy_uint16_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":784 + * ctypedef npy_uint8 uint8_t + * ctypedef npy_uint16 uint16_t + * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< + * ctypedef npy_uint64 uint64_t + * #ctypedef npy_uint96 uint96_t + */ +typedef npy_uint32 __pyx_t_5numpy_uint32_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":785 + * ctypedef npy_uint16 uint16_t + * ctypedef npy_uint32 uint32_t + * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< + * #ctypedef npy_uint96 uint96_t + * #ctypedef npy_uint128 uint128_t + */ +typedef npy_uint64 __pyx_t_5numpy_uint64_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":789 + * #ctypedef npy_uint128 uint128_t + * + * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< + * ctypedef npy_float64 float64_t + * #ctypedef npy_float80 float80_t + */ +typedef npy_float32 __pyx_t_5numpy_float32_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":790 + * + * ctypedef npy_float32 float32_t + * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< + * #ctypedef npy_float80 float80_t + * #ctypedef npy_float128 float128_t + */ +typedef npy_float64 __pyx_t_5numpy_float64_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":799 + * # The int types are mapped a bit surprising -- + * # numpy.int corresponds to 'l' and numpy.long to 'q' + * ctypedef npy_long int_t # <<<<<<<<<<<<<< + * ctypedef npy_longlong long_t + * ctypedef npy_longlong longlong_t + */ +typedef npy_long __pyx_t_5numpy_int_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":800 + * # numpy.int corresponds to 'l' and numpy.long to 'q' + * ctypedef npy_long int_t + * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< + * ctypedef npy_longlong longlong_t + * + */ +typedef npy_longlong __pyx_t_5numpy_long_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":801 + * ctypedef npy_long int_t + * ctypedef npy_longlong long_t + * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< + * + * ctypedef npy_ulong uint_t + */ +typedef npy_longlong __pyx_t_5numpy_longlong_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":803 + * ctypedef npy_longlong longlong_t + * + * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< + * ctypedef npy_ulonglong ulong_t + * ctypedef npy_ulonglong ulonglong_t + */ +typedef npy_ulong __pyx_t_5numpy_uint_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":804 + * + * ctypedef npy_ulong uint_t + * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< + * ctypedef npy_ulonglong ulonglong_t + * + */ +typedef npy_ulonglong __pyx_t_5numpy_ulong_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":805 + * ctypedef npy_ulong uint_t + * ctypedef npy_ulonglong ulong_t + * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< + * + * ctypedef npy_intp intp_t + */ +typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":807 + * ctypedef npy_ulonglong ulonglong_t + * + * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< + * ctypedef npy_uintp uintp_t + * + */ +typedef npy_intp __pyx_t_5numpy_intp_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":808 + * + * ctypedef npy_intp intp_t + * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< + * + * ctypedef npy_double float_t + */ +typedef npy_uintp __pyx_t_5numpy_uintp_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":810 + * ctypedef npy_uintp uintp_t + * + * ctypedef npy_double float_t # <<<<<<<<<<<<<< + * ctypedef npy_double double_t + * ctypedef npy_longdouble longdouble_t + */ +typedef npy_double __pyx_t_5numpy_float_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":811 + * + * ctypedef npy_double float_t + * ctypedef npy_double double_t # <<<<<<<<<<<<<< + * ctypedef npy_longdouble longdouble_t + * + */ +typedef npy_double __pyx_t_5numpy_double_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":812 + * ctypedef npy_double float_t + * ctypedef npy_double double_t + * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< + * + * ctypedef npy_cfloat cfloat_t + */ +typedef npy_longdouble __pyx_t_5numpy_longdouble_t; + +/* "utils/fast_dict.pxd":22 + * cimport numpy as np + * + * ctypedef np.float64_t DTYPE_t # <<<<<<<<<<<<<< + * + * ctypedef np.intp_t ITYPE_t + */ +typedef __pyx_t_5numpy_float64_t __pyx_t_6cornac_5utils_9fast_dict_DTYPE_t; + +/* "utils/fast_dict.pxd":24 + * ctypedef np.float64_t DTYPE_t + * + * ctypedef np.intp_t ITYPE_t # <<<<<<<<<<<<<< + * + * + */ +typedef __pyx_t_5numpy_intp_t __pyx_t_6cornac_5utils_9fast_dict_ITYPE_t; +/* Declarations.proto */ +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + typedef ::std::complex< float > __pyx_t_float_complex; + #else + typedef float _Complex __pyx_t_float_complex; + #endif +#else + typedef struct { float real, imag; } __pyx_t_float_complex; +#endif +static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float); + +/* Declarations.proto */ +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + typedef ::std::complex< double > __pyx_t_double_complex; + #else + typedef double _Complex __pyx_t_double_complex; + #endif +#else + typedef struct { double real, imag; } __pyx_t_double_complex; +#endif +static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double); + + +/*--- Type declarations ---*/ +struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict; +struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector; +struct __pyx_array_obj; +struct __pyx_MemviewEnum_obj; +struct __pyx_memoryview_obj; +struct __pyx_memoryviewslice_obj; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":814 + * ctypedef npy_longdouble longdouble_t + * + * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< + * ctypedef npy_cdouble cdouble_t + * ctypedef npy_clongdouble clongdouble_t + */ +typedef npy_cfloat __pyx_t_5numpy_cfloat_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":815 + * + * ctypedef npy_cfloat cfloat_t + * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< + * ctypedef npy_clongdouble clongdouble_t + * + */ +typedef npy_cdouble __pyx_t_5numpy_cdouble_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":816 + * ctypedef npy_cfloat cfloat_t + * ctypedef npy_cdouble cdouble_t + * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< + * + * ctypedef npy_cdouble complex_t + */ +typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":818 + * ctypedef npy_clongdouble clongdouble_t + * + * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< + * + * cdef inline object PyArray_MultiIterNew1(a): + */ +typedef npy_cdouble __pyx_t_5numpy_complex_t; + +/* "utils/fast_dict.pxd":27 + * + * + * cdef class IntFloatDict: # <<<<<<<<<<<<<< + * cdef cpp_map[ITYPE_t, DTYPE_t] my_map + * cdef _to_arrays(self, ITYPE_t [:] keys, DTYPE_t [:] values) + */ +struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict { + PyObject_HEAD + struct __pyx_vtabstruct_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_vtab; + std::map<__pyx_t_6cornac_5utils_9fast_dict_ITYPE_t,__pyx_t_6cornac_5utils_9fast_dict_DTYPE_t> my_map; +}; + + +/* "bpr/recom_bpr.pxd":35 + * + * + * cdef class RNGVector(object): # <<<<<<<<<<<<<< + * """ This class creates one c++ rng object per thread, and enables us to randomly sample + * positive/negative items here in a thread safe manner """ + */ +struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector { + PyObject_HEAD + struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_vtab; + std::vector rng; + std::vector > dist; +}; + + +/* "View.MemoryView":105 + * + * @cname("__pyx_array") + * cdef class array: # <<<<<<<<<<<<<< + * + * cdef: + */ +struct __pyx_array_obj { + PyObject_HEAD + struct __pyx_vtabstruct_array *__pyx_vtab; + char *data; + Py_ssize_t len; + char *format; + int ndim; + Py_ssize_t *_shape; + Py_ssize_t *_strides; + Py_ssize_t itemsize; + PyObject *mode; + PyObject *_format; + void (*callback_free_data)(void *); + int free_data; + int dtype_is_object; +}; + + +/* "View.MemoryView":279 + * + * @cname('__pyx_MemviewEnum') + * cdef class Enum(object): # <<<<<<<<<<<<<< + * cdef object name + * def __init__(self, name): + */ +struct __pyx_MemviewEnum_obj { + PyObject_HEAD + PyObject *name; +}; + + +/* "View.MemoryView":330 + * + * @cname('__pyx_memoryview') + * cdef class memoryview(object): # <<<<<<<<<<<<<< + * + * cdef object obj + */ +struct __pyx_memoryview_obj { + PyObject_HEAD + struct __pyx_vtabstruct_memoryview *__pyx_vtab; + PyObject *obj; + PyObject *_size; + PyObject *_array_interface; + PyThread_type_lock lock; + __pyx_atomic_int acquisition_count[2]; + __pyx_atomic_int *acquisition_count_aligned_p; + Py_buffer view; + int flags; + int dtype_is_object; + __Pyx_TypeInfo *typeinfo; +}; + + +/* "View.MemoryView":965 + * + * @cname('__pyx_memoryviewslice') + * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< + * "Internal class for passing memoryview slices to Python" + * + */ +struct __pyx_memoryviewslice_obj { + struct __pyx_memoryview_obj __pyx_base; + __Pyx_memviewslice from_slice; + PyObject *from_object; + PyObject *(*to_object_func)(char *); + int (*to_dtype_func)(char *, PyObject *); +}; + + + +/* "utils/fast_dict.pxd":27 + * + * + * cdef class IntFloatDict: # <<<<<<<<<<<<<< + * cdef cpp_map[ITYPE_t, DTYPE_t] my_map + * cdef _to_arrays(self, ITYPE_t [:] keys, DTYPE_t [:] values) + */ + +struct __pyx_vtabstruct_6cornac_5utils_9fast_dict_IntFloatDict { + PyObject *(*_to_arrays)(struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *, __Pyx_memviewslice, __Pyx_memviewslice); +}; +static struct __pyx_vtabstruct_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_vtabptr_6cornac_5utils_9fast_dict_IntFloatDict; + + +/* "bpr/recom_bpr.pxd":35 + * + * + * cdef class RNGVector(object): # <<<<<<<<<<<<<< + * """ This class creates one c++ rng object per thread, and enables us to randomly sample + * positive/negative items here in a thread safe manner """ + */ + +struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector { + long (*generate)(struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *, int); +}; +static struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_vtabptr_6cornac_6models_3bpr_9recom_bpr_RNGVector; + + +/* "View.MemoryView":105 + * + * @cname("__pyx_array") + * cdef class array: # <<<<<<<<<<<<<< + * + * cdef: + */ + +struct __pyx_vtabstruct_array { + PyObject *(*get_memview)(struct __pyx_array_obj *); +}; +static struct __pyx_vtabstruct_array *__pyx_vtabptr_array; + + +/* "View.MemoryView":330 + * + * @cname('__pyx_memoryview') + * cdef class memoryview(object): # <<<<<<<<<<<<<< + * + * cdef object obj + */ + +struct __pyx_vtabstruct_memoryview { + char *(*get_item_pointer)(struct __pyx_memoryview_obj *, PyObject *); + PyObject *(*is_slice)(struct __pyx_memoryview_obj *, PyObject *); + PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *); + PyObject *(*setitem_slice_assign_scalar)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *); + PyObject *(*setitem_indexed)(struct __pyx_memoryview_obj *, PyObject *, PyObject *); + PyObject *(*convert_item_to_object)(struct __pyx_memoryview_obj *, char *); + PyObject *(*assign_item_from_object)(struct __pyx_memoryview_obj *, char *, PyObject *); +}; +static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview; + + +/* "View.MemoryView":965 + * + * @cname('__pyx_memoryviewslice') + * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< + * "Internal class for passing memoryview slices to Python" + * + */ + +struct __pyx_vtabstruct__memoryviewslice { + struct __pyx_vtabstruct_memoryview __pyx_base; +}; +static struct __pyx_vtabstruct__memoryviewslice *__pyx_vtabptr__memoryviewslice; + +/* --- Runtime support code (head) --- */ +/* Refnanny.proto */ +#ifndef CYTHON_REFNANNY + #define CYTHON_REFNANNY 0 +#endif +#if CYTHON_REFNANNY + typedef struct { + void (*INCREF)(void*, PyObject*, int); + void (*DECREF)(void*, PyObject*, int); + void (*GOTREF)(void*, PyObject*, int); + void (*GIVEREF)(void*, PyObject*, int); + void* (*SetupContext)(const char*, int, const char*); + void (*FinishContext)(void**); + } __Pyx_RefNannyAPIStruct; + static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL; + static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname); + #define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL; +#ifdef WITH_THREAD + #define __Pyx_RefNannySetupContext(name, acquire_gil)\ + if (acquire_gil) {\ + PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure();\ + __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__);\ + PyGILState_Release(__pyx_gilstate_save);\ + } else {\ + __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__);\ + } +#else + #define __Pyx_RefNannySetupContext(name, acquire_gil)\ + __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__) +#endif + #define __Pyx_RefNannyFinishContext()\ + __Pyx_RefNanny->FinishContext(&__pyx_refnanny) + #define __Pyx_INCREF(r) __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__) + #define __Pyx_DECREF(r) __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__) + #define __Pyx_GOTREF(r) __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__) + #define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__) + #define __Pyx_XINCREF(r) do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0) + #define __Pyx_XDECREF(r) do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0) + #define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0) + #define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0) +#else + #define __Pyx_RefNannyDeclarations + #define __Pyx_RefNannySetupContext(name, acquire_gil) + #define __Pyx_RefNannyFinishContext() + #define __Pyx_INCREF(r) Py_INCREF(r) + #define __Pyx_DECREF(r) Py_DECREF(r) + #define __Pyx_GOTREF(r) + #define __Pyx_GIVEREF(r) + #define __Pyx_XINCREF(r) Py_XINCREF(r) + #define __Pyx_XDECREF(r) Py_XDECREF(r) + #define __Pyx_XGOTREF(r) + #define __Pyx_XGIVEREF(r) +#endif +#define __Pyx_XDECREF_SET(r, v) do {\ + PyObject *tmp = (PyObject *) r;\ + r = v; __Pyx_XDECREF(tmp);\ + } while (0) +#define __Pyx_DECREF_SET(r, v) do {\ + PyObject *tmp = (PyObject *) r;\ + r = v; __Pyx_DECREF(tmp);\ + } while (0) +#define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0) +#define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0) + +/* PyObjectGetAttrStr.proto */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name); +#else +#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n) +#endif + +/* GetBuiltinName.proto */ +static PyObject *__Pyx_GetBuiltinName(PyObject *name); + +/* RaiseDoubleKeywords.proto */ +static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name); + +/* ParseKeywords.proto */ +static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\ + PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\ + const char* function_name); + +/* RaiseArgTupleInvalid.proto */ +static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact, + Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); + +/* PyObjectCall.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw); +#else +#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw) +#endif + +/* PyObjectSetAttrStr.proto */ +#if CYTHON_USE_TYPE_SLOTS +#define __Pyx_PyObject_DelAttrStr(o,n) __Pyx_PyObject_SetAttrStr(o, n, NULL) +static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value); +#else +#define __Pyx_PyObject_DelAttrStr(o,n) PyObject_DelAttr(o,n) +#define __Pyx_PyObject_SetAttrStr(o,n,v) PyObject_SetAttr(o,n,v) +#endif + +/* PyDictVersioning.proto */ +#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS +#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1) +#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag) +#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\ + (version_var) = __PYX_GET_DICT_VERSION(dict);\ + (cache_var) = (value); +#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\ + static PY_UINT64_T __pyx_dict_version = 0;\ + static PyObject *__pyx_dict_cached_value = NULL;\ + if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\ + (VAR) = __pyx_dict_cached_value;\ + } else {\ + (VAR) = __pyx_dict_cached_value = (LOOKUP);\ + __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\ + }\ +} +static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj); +static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj); +static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version); +#else +#define __PYX_GET_DICT_VERSION(dict) (0) +#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var) +#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP); +#endif + +/* GetModuleGlobalName.proto */ +#if CYTHON_USE_DICT_VERSIONS +#define __Pyx_GetModuleGlobalName(var, name) {\ + static PY_UINT64_T __pyx_dict_version = 0;\ + static PyObject *__pyx_dict_cached_value = NULL;\ + (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\ + (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\ + __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ +} +#define __Pyx_GetModuleGlobalNameUncached(var, name) {\ + PY_UINT64_T __pyx_dict_version;\ + PyObject *__pyx_dict_cached_value;\ + (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ +} +static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value); +#else +#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) +#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name) +static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name); +#endif + +/* PyFunctionFastCall.proto */ +#if CYTHON_FAST_PYCALL +#define __Pyx_PyFunction_FastCall(func, args, nargs)\ + __Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL) +#if 1 || PY_VERSION_HEX < 0x030600B1 +static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs); +#else +#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs) +#endif +#define __Pyx_BUILD_ASSERT_EXPR(cond)\ + (sizeof(char [1 - 2*!(cond)]) - 1) +#ifndef Py_MEMBER_SIZE +#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member) +#endif + static size_t __pyx_pyframe_localsplus_offset = 0; + #include "frameobject.h" + #define __Pxy_PyFrame_Initialize_Offsets()\ + ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\ + (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus))) + #define __Pyx_PyFrame_GetLocalsplus(frame)\ + (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset)) +#endif + +/* PyObjectCallMethO.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); +#endif + +/* PyObjectCallNoArg.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func); +#else +#define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL) +#endif + +/* PyCFunctionFastCall.proto */ +#if CYTHON_FAST_PYCCALL +static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs); +#else +#define __Pyx_PyCFunction_FastCall(func, args, nargs) (assert(0), NULL) +#endif + +/* PyObjectCallOneArg.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg); + +/* IterFinish.proto */ +static CYTHON_INLINE int __Pyx_IterFinish(void); + +/* PyObjectGetMethod.proto */ +static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method); + +/* PyObjectCallMethod0.proto */ +static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name); + +/* RaiseNeedMoreValuesToUnpack.proto */ +static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); + +/* RaiseTooManyValuesToUnpack.proto */ +static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); + +/* UnpackItemEndCheck.proto */ +static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected); + +/* RaiseNoneIterError.proto */ +static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); + +/* UnpackTupleError.proto */ +static void __Pyx_UnpackTupleError(PyObject *, Py_ssize_t index); + +/* UnpackTuple2.proto */ +#define __Pyx_unpack_tuple2(tuple, value1, value2, is_tuple, has_known_size, decref_tuple)\ + (likely(is_tuple || PyTuple_Check(tuple)) ?\ + (likely(has_known_size || PyTuple_GET_SIZE(tuple) == 2) ?\ + __Pyx_unpack_tuple2_exact(tuple, value1, value2, decref_tuple) :\ + (__Pyx_UnpackTupleError(tuple, 2), -1)) :\ + __Pyx_unpack_tuple2_generic(tuple, value1, value2, has_known_size, decref_tuple)) +static CYTHON_INLINE int __Pyx_unpack_tuple2_exact( + PyObject* tuple, PyObject** value1, PyObject** value2, int decref_tuple); +static int __Pyx_unpack_tuple2_generic( + PyObject* tuple, PyObject** value1, PyObject** value2, int has_known_size, int decref_tuple); + +/* dict_iter.proto */ +static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* dict, int is_dict, PyObject* method_name, + Py_ssize_t* p_orig_length, int* p_is_dict); +static CYTHON_INLINE int __Pyx_dict_iter_next(PyObject* dict_or_iter, Py_ssize_t orig_length, Py_ssize_t* ppos, + PyObject** pkey, PyObject** pvalue, PyObject** pitem, int is_dict); + +/* PyObjectCall2Args.proto */ +static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2); + +/* GetItemInt.proto */ +#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\ + (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\ + __Pyx_GetItemInt_Generic(o, to_py_func(i)))) +#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ + (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, + int wraparound, int boundscheck); +#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ + (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL)) +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, + int wraparound, int boundscheck); +static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, + int is_list, int wraparound, int boundscheck); + +/* ObjectGetItem.proto */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key); +#else +#define __Pyx_PyObject_GetItem(obj, key) PyObject_GetItem(obj, key) +#endif + +/* ListCompAppend.proto */ +#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS +static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { + PyListObject* L = (PyListObject*) list; + Py_ssize_t len = Py_SIZE(list); + if (likely(L->allocated > len)) { + Py_INCREF(x); + PyList_SET_ITEM(list, len, x); + __Pyx_SET_SIZE(list, len + 1); + return 0; + } + return PyList_Append(list, x); +} +#else +#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) +#endif + +/* ListAppend.proto */ +#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS +static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) { + PyListObject* L = (PyListObject*) list; + Py_ssize_t len = Py_SIZE(list); + if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) { + Py_INCREF(x); + PyList_SET_ITEM(list, len, x); + __Pyx_SET_SIZE(list, len + 1); + return 0; + } + return PyList_Append(list, x); +} +#else +#define __Pyx_PyList_Append(L,x) PyList_Append(L,x) +#endif + +/* PyObjectCallMethod1.proto */ +static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg); + +/* append.proto */ +static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x); + +/* Import.proto */ +static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); + +/* ImportFrom.proto */ +static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name); + +/* dict_getitem_default.proto */ +static PyObject* __Pyx_PyDict_GetItemDefault(PyObject* d, PyObject* key, PyObject* default_value); + +/* UnpackUnboundCMethod.proto */ +typedef struct { + PyObject *type; + PyObject **method_name; + PyCFunction func; + PyObject *method; + int flag; +} __Pyx_CachedCFunction; + +/* CallUnboundCMethod1.proto */ +static PyObject* __Pyx__CallUnboundCMethod1(__Pyx_CachedCFunction* cfunc, PyObject* self, PyObject* arg); +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_CallUnboundCMethod1(__Pyx_CachedCFunction* cfunc, PyObject* self, PyObject* arg); +#else +#define __Pyx_CallUnboundCMethod1(cfunc, self, arg) __Pyx__CallUnboundCMethod1(cfunc, self, arg) +#endif + +/* CallUnboundCMethod2.proto */ +static PyObject* __Pyx__CallUnboundCMethod2(__Pyx_CachedCFunction* cfunc, PyObject* self, PyObject* arg1, PyObject* arg2); +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030600B1 +static CYTHON_INLINE PyObject *__Pyx_CallUnboundCMethod2(__Pyx_CachedCFunction *cfunc, PyObject *self, PyObject *arg1, PyObject *arg2); +#else +#define __Pyx_CallUnboundCMethod2(cfunc, self, arg1, arg2) __Pyx__CallUnboundCMethod2(cfunc, self, arg1, arg2) +#endif + +/* PyIntBinop.proto */ +#if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check); +#else +#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\ + (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2)) +#endif + +/* py_dict_keys.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyDict_Keys(PyObject* d); + +/* CallUnboundCMethod0.proto */ +static PyObject* __Pyx__CallUnboundCMethod0(__Pyx_CachedCFunction* cfunc, PyObject* self); +#if CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_CallUnboundCMethod0(cfunc, self)\ + (likely((cfunc)->func) ?\ + (likely((cfunc)->flag == METH_NOARGS) ? (*((cfunc)->func))(self, NULL) :\ + (PY_VERSION_HEX >= 0x030600B1 && likely((cfunc)->flag == METH_FASTCALL) ?\ + (PY_VERSION_HEX >= 0x030700A0 ?\ + (*(__Pyx_PyCFunctionFast)(void*)(PyCFunction)(cfunc)->func)(self, &__pyx_empty_tuple, 0) :\ + (*(__Pyx_PyCFunctionFastWithKeywords)(void*)(PyCFunction)(cfunc)->func)(self, &__pyx_empty_tuple, 0, NULL)) :\ + (PY_VERSION_HEX >= 0x030700A0 && (cfunc)->flag == (METH_FASTCALL | METH_KEYWORDS) ?\ + (*(__Pyx_PyCFunctionFastWithKeywords)(void*)(PyCFunction)(cfunc)->func)(self, &__pyx_empty_tuple, 0, NULL) :\ + (likely((cfunc)->flag == (METH_VARARGS | METH_KEYWORDS)) ? ((*(PyCFunctionWithKeywords)(void*)(PyCFunction)(cfunc)->func)(self, __pyx_empty_tuple, NULL)) :\ + ((cfunc)->flag == METH_VARARGS ? (*((cfunc)->func))(self, __pyx_empty_tuple) :\ + __Pyx__CallUnboundCMethod0(cfunc, self)))))) :\ + __Pyx__CallUnboundCMethod0(cfunc, self)) +#else +#define __Pyx_CallUnboundCMethod0(cfunc, self) __Pyx__CallUnboundCMethod0(cfunc, self) +#endif + +/* DictGetItem.proto */ +#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY +static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key); +#define __Pyx_PyObject_Dict_GetItem(obj, name)\ + (likely(PyDict_CheckExact(obj)) ?\ + __Pyx_PyDict_GetItem(obj, name) : PyObject_GetItem(obj, name)) +#else +#define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key) +#define __Pyx_PyObject_Dict_GetItem(obj, name) PyObject_GetItem(obj, name) +#endif + +/* SliceObject.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice( + PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop, + PyObject** py_start, PyObject** py_stop, PyObject** py_slice, + int has_cstart, int has_cstop, int wraparound); + +/* PyIntBinop.proto */ +#if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check); +#else +#define __Pyx_PyInt_SubtractObjC(op1, op2, intval, inplace, zerodivision_check)\ + (inplace ? PyNumber_InPlaceSubtract(op1, op2) : PyNumber_Subtract(op1, op2)) +#endif + +/* pyfrozenset_new.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyFrozenSet_New(PyObject* it); + +/* PySetContains.proto */ +static CYTHON_INLINE int __Pyx_PySet_ContainsTF(PyObject* key, PyObject* set, int eq); + +/* PyObjectFormatAndDecref.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatSimpleAndDecref(PyObject* s, PyObject* f); +static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatAndDecref(PyObject* s, PyObject* f); + +/* PyObjectFormat.proto */ +#if CYTHON_USE_UNICODE_WRITER +static PyObject* __Pyx_PyObject_Format(PyObject* s, PyObject* f); +#else +#define __Pyx_PyObject_Format(s, f) PyObject_Format(s, f) +#endif + +/* IncludeStringH.proto */ +#include + +/* JoinPyUnicode.proto */ +static PyObject* __Pyx_PyUnicode_Join(PyObject* value_tuple, Py_ssize_t value_count, Py_ssize_t result_ulength, + Py_UCS4 max_char); + +/* GCCDiagnostics.proto */ +#if defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6)) +#define __Pyx_HAS_GCC_DIAGNOSTIC +#endif + +/* BuildPyUnicode.proto */ +static PyObject* __Pyx_PyUnicode_BuildFromAscii(Py_ssize_t ulength, char* chars, int clength, + int prepend_sign, char padding_char); + +/* CIntToPyUnicode.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char, char format_char); + +/* PyObjectLookupSpecial.proto */ +#if CYTHON_USE_PYTYPE_LOOKUP && CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject* __Pyx_PyObject_LookupSpecial(PyObject* obj, PyObject* attr_name) { + PyObject *res; + PyTypeObject *tp = Py_TYPE(obj); +#if PY_MAJOR_VERSION < 3 + if (unlikely(PyInstance_Check(obj))) + return __Pyx_PyObject_GetAttrStr(obj, attr_name); +#endif + res = _PyType_Lookup(tp, attr_name); + if (likely(res)) { + descrgetfunc f = Py_TYPE(res)->tp_descr_get; + if (!f) { + Py_INCREF(res); + } else { + res = f(res, obj, (PyObject *)tp); + } + } else { + PyErr_SetObject(PyExc_AttributeError, attr_name); + } + return res; +} +#else +#define __Pyx_PyObject_LookupSpecial(o,n) __Pyx_PyObject_GetAttrStr(o,n) +#endif + +/* PyIntBinop.proto */ +#if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_TrueDivideObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check); +#else +#define __Pyx_PyInt_TrueDivideObjC(op1, op2, intval, inplace, zerodivision_check)\ + (inplace ? PyNumber_InPlaceTrueDivide(op1, op2) : PyNumber_TrueDivide(op1, op2)) +#endif + +/* GetTopmostException.proto */ +#if CYTHON_USE_EXC_INFO_STACK +static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate); +#endif + +/* PyThreadStateGet.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate; +#define __Pyx_PyThreadState_assign __pyx_tstate = __Pyx_PyThreadState_Current; +#define __Pyx_PyErr_Occurred() __pyx_tstate->curexc_type +#else +#define __Pyx_PyThreadState_declare +#define __Pyx_PyThreadState_assign +#define __Pyx_PyErr_Occurred() PyErr_Occurred() +#endif + +/* SaveResetException.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); +#else +#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb) +#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb) +#endif + +/* GetException.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb) +static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#else +static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); +#endif + +/* PyErrFetchRestore.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL) +#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb) +#define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb) +#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb) +#define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); +static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#if CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL)) +#else +#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc) +#endif +#else +#define __Pyx_PyErr_Clear() PyErr_Clear() +#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc) +#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb) +#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetchInState(tstate, type, value, tb) PyErr_Fetch(type, value, tb) +#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb) +#endif + +/* PyDictContains.proto */ +static CYTHON_INLINE int __Pyx_PyDict_ContainsTF(PyObject* item, PyObject* dict, int eq) { + int result = PyDict_Contains(dict, item); + return unlikely(result < 0) ? result : (result == (eq == Py_EQ)); +} + +/* RaiseException.proto */ +static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); + +/* UnicodeAsUCS4.proto */ +static CYTHON_INLINE Py_UCS4 __Pyx_PyUnicode_AsPy_UCS4(PyObject*); + +/* object_ord.proto */ +#if PY_MAJOR_VERSION >= 3 +#define __Pyx_PyObject_Ord(c)\ + (likely(PyUnicode_Check(c)) ? (long)__Pyx_PyUnicode_AsPy_UCS4(c) : __Pyx__PyObject_Ord(c)) +#else +#define __Pyx_PyObject_Ord(c) __Pyx__PyObject_Ord(c) +#endif +static long __Pyx__PyObject_Ord(PyObject* c); + +/* SetItemInt.proto */ +#define __Pyx_SetItemInt(o, i, v, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_SetItemInt_Fast(o, (Py_ssize_t)i, v, is_list, wraparound, boundscheck) :\ + (is_list ? (PyErr_SetString(PyExc_IndexError, "list assignment index out of range"), -1) :\ + __Pyx_SetItemInt_Generic(o, to_py_func(i), v))) +static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v); +static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, + int is_list, int wraparound, int boundscheck); + +/* ArgTypeTest.proto */ +#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\ + ((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\ + __Pyx__ArgTypeTest(obj, type, name, exact)) +static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact); + +/* IsLittleEndian.proto */ +static CYTHON_INLINE int __Pyx_Is_Little_Endian(void); + +/* BufferFormatCheck.proto */ +static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts); +static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, + __Pyx_BufFmt_StackElem* stack, + __Pyx_TypeInfo* type); + +/* BufferGetAndValidate.proto */ +#define __Pyx_GetBufferAndValidate(buf, obj, dtype, flags, nd, cast, stack)\ + ((obj == Py_None || obj == NULL) ?\ + (__Pyx_ZeroBuffer(buf), 0) :\ + __Pyx__GetBufferAndValidate(buf, obj, dtype, flags, nd, cast, stack)) +static int __Pyx__GetBufferAndValidate(Py_buffer* buf, PyObject* obj, + __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack); +static void __Pyx_ZeroBuffer(Py_buffer* buf); +static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info); +static Py_ssize_t __Pyx_minusones[] = { -1, -1, -1, -1, -1, -1, -1, -1 }; +static Py_ssize_t __Pyx_zeros[] = { 0, 0, 0, 0, 0, 0, 0, 0 }; + +#define __Pyx_BufPtrStrided3d(type, buf, i0, s0, i1, s1, i2, s2) (type)((char*)buf + i0 * s0 + i1 * s1 + i2 * s2) +#define __Pyx_BufPtrStrided2d(type, buf, i0, s0, i1, s1) (type)((char*)buf + i0 * s0 + i1 * s1) +/* MemviewSliceInit.proto */ +#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d +#define __Pyx_MEMVIEW_DIRECT 1 +#define __Pyx_MEMVIEW_PTR 2 +#define __Pyx_MEMVIEW_FULL 4 +#define __Pyx_MEMVIEW_CONTIG 8 +#define __Pyx_MEMVIEW_STRIDED 16 +#define __Pyx_MEMVIEW_FOLLOW 32 +#define __Pyx_IS_C_CONTIG 1 +#define __Pyx_IS_F_CONTIG 2 +static int __Pyx_init_memviewslice( + struct __pyx_memoryview_obj *memview, + int ndim, + __Pyx_memviewslice *memviewslice, + int memview_is_new_reference); +static CYTHON_INLINE int __pyx_add_acquisition_count_locked( + __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); +static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( + __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); +#define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p) +#define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview)) +#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) +#define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__) +static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); +static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int); + +/* ExtTypeTest.proto */ +static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); + +/* PyErrExceptionMatches.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err) +static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err); +#else +#define __Pyx_PyErr_ExceptionMatches(err) PyErr_ExceptionMatches(err) +#endif + +/* BytesEquals.proto */ +static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals); + +/* UnicodeEquals.proto */ +static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); + +/* StrEquals.proto */ +#if PY_MAJOR_VERSION >= 3 +#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals +#else +#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals +#endif + +/* None.proto */ +static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t); + +/* UnaryNegOverflows.proto */ +#define UNARY_NEG_WOULD_OVERFLOW(x)\ + (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x))) + +static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/ +/* GetAttr.proto */ +static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); + +/* decode_c_string_utf16.proto */ +static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16(const char *s, Py_ssize_t size, const char *errors) { + int byteorder = 0; + return PyUnicode_DecodeUTF16(s, size, errors, &byteorder); +} +static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16LE(const char *s, Py_ssize_t size, const char *errors) { + int byteorder = -1; + return PyUnicode_DecodeUTF16(s, size, errors, &byteorder); +} +static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16BE(const char *s, Py_ssize_t size, const char *errors) { + int byteorder = 1; + return PyUnicode_DecodeUTF16(s, size, errors, &byteorder); +} + +/* decode_c_string.proto */ +static CYTHON_INLINE PyObject* __Pyx_decode_c_string( + const char* cstring, Py_ssize_t start, Py_ssize_t stop, + const char* encoding, const char* errors, + PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)); + +/* GetAttr3.proto */ +static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *); + +/* SwapException.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#else +static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb); +#endif + +/* FastTypeChecks.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) +static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); +#else +#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) +#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) +#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2)) +#endif +#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) + +static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +/* ListExtend.proto */ +static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) { +#if CYTHON_COMPILING_IN_CPYTHON + PyObject* none = _PyList_Extend((PyListObject*)L, v); + if (unlikely(!none)) + return -1; + Py_DECREF(none); + return 0; +#else + return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v); +#endif +} + +/* None.proto */ +static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname); + +/* None.proto */ +static CYTHON_INLINE long __Pyx_div_long(long, long); + +/* HasAttr.proto */ +static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *); + +/* PyObject_GenericGetAttrNoDict.proto */ +#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 +static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name); +#else +#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr +#endif + +/* PyObject_GenericGetAttr.proto */ +#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 +static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name); +#else +#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr +#endif + +/* SetVTable.proto */ +static int __Pyx_SetVtable(PyObject *dict, void *vtable); + +/* PyObjectGetAttrStrNoError.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name); + +/* SetupReduce.proto */ +static int __Pyx_setup_reduce(PyObject* type_obj); + +/* TypeImport.proto */ +#ifndef __PYX_HAVE_RT_ImportType_proto +#define __PYX_HAVE_RT_ImportType_proto +enum __Pyx_ImportType_CheckSize { + __Pyx_ImportType_CheckSize_Error = 0, + __Pyx_ImportType_CheckSize_Warn = 1, + __Pyx_ImportType_CheckSize_Ignore = 2 +}; +static PyTypeObject *__Pyx_ImportType(PyObject* module, const char *module_name, const char *class_name, size_t size, enum __Pyx_ImportType_CheckSize check_size); +#endif + +/* GetVTable.proto */ +static void* __Pyx_GetVtable(PyObject *dict); + +/* CalculateMetaclass.proto */ +static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases); + +/* FetchCommonType.proto */ +static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type); + +/* CythonFunctionShared.proto */ +#define __Pyx_CyFunction_USED 1 +#define __Pyx_CYFUNCTION_STATICMETHOD 0x01 +#define __Pyx_CYFUNCTION_CLASSMETHOD 0x02 +#define __Pyx_CYFUNCTION_CCLASS 0x04 +#define __Pyx_CyFunction_GetClosure(f)\ + (((__pyx_CyFunctionObject *) (f))->func_closure) +#define __Pyx_CyFunction_GetClassObj(f)\ + (((__pyx_CyFunctionObject *) (f))->func_classobj) +#define __Pyx_CyFunction_Defaults(type, f)\ + ((type *)(((__pyx_CyFunctionObject *) (f))->defaults)) +#define __Pyx_CyFunction_SetDefaultsGetter(f, g)\ + ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g) +typedef struct { + PyCFunctionObject func; +#if PY_VERSION_HEX < 0x030500A0 + PyObject *func_weakreflist; +#endif + PyObject *func_dict; + PyObject *func_name; + PyObject *func_qualname; + PyObject *func_doc; + PyObject *func_globals; + PyObject *func_code; + PyObject *func_closure; + PyObject *func_classobj; + void *defaults; + int defaults_pyobjects; + size_t defaults_size; // used by FusedFunction for copying defaults + int flags; + PyObject *defaults_tuple; + PyObject *defaults_kwdict; + PyObject *(*defaults_getter)(PyObject *); + PyObject *func_annotations; +} __pyx_CyFunctionObject; +static PyTypeObject *__pyx_CyFunctionType = 0; +#define __Pyx_CyFunction_Check(obj) (__Pyx_TypeCheck(obj, __pyx_CyFunctionType)) +static PyObject *__Pyx_CyFunction_Init(__pyx_CyFunctionObject* op, PyMethodDef *ml, + int flags, PyObject* qualname, + PyObject *self, + PyObject *module, PyObject *globals, + PyObject* code); +static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *m, + size_t size, + int pyobjects); +static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m, + PyObject *tuple); +static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m, + PyObject *dict); +static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m, + PyObject *dict); +static int __pyx_CyFunction_init(void); + +/* CythonFunction.proto */ +static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, + int flags, PyObject* qualname, + PyObject *closure, + PyObject *module, PyObject *globals, + PyObject* code); + +/* SetNameInClass.proto */ +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 +#define __Pyx_SetNameInClass(ns, name, value)\ + (likely(PyDict_CheckExact(ns)) ? _PyDict_SetItem_KnownHash(ns, name, value, ((PyASCIIObject *) name)->hash) : PyObject_SetItem(ns, name, value)) +#elif CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_SetNameInClass(ns, name, value)\ + (likely(PyDict_CheckExact(ns)) ? PyDict_SetItem(ns, name, value) : PyObject_SetItem(ns, name, value)) +#else +#define __Pyx_SetNameInClass(ns, name, value) PyObject_SetItem(ns, name, value) +#endif + +/* FusedFunction.proto */ +typedef struct { + __pyx_CyFunctionObject func; + PyObject *__signatures__; + PyObject *type; + PyObject *self; +} __pyx_FusedFunctionObject; +static PyObject *__pyx_FusedFunction_New(PyMethodDef *ml, int flags, + PyObject *qualname, PyObject *closure, + PyObject *module, PyObject *globals, + PyObject *code); +static int __pyx_FusedFunction_clear(__pyx_FusedFunctionObject *self); +static PyTypeObject *__pyx_FusedFunctionType = NULL; +static int __pyx_FusedFunction_init(void); +#define __Pyx_FusedFunction_USED + +/* Py3ClassCreate.proto */ +static PyObject *__Pyx_Py3MetaclassPrepare(PyObject *metaclass, PyObject *bases, PyObject *name, PyObject *qualname, + PyObject *mkw, PyObject *modname, PyObject *doc); +static PyObject *__Pyx_Py3ClassCreate(PyObject *metaclass, PyObject *name, PyObject *bases, PyObject *dict, + PyObject *mkw, int calculate_metaclass, int allow_py2_metaclass); + +/* CyFunctionClassCell.proto */ +static int __Pyx_CyFunction_InitClassCell(PyObject *cyfunctions, PyObject *classobj); + +/* CLineInTraceback.proto */ +#ifdef CYTHON_CLINE_IN_TRACEBACK +#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0) +#else +static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line); +#endif + +/* CodeObjectCache.proto */ +typedef struct { + PyCodeObject* code_object; + int code_line; +} __Pyx_CodeObjectCacheEntry; +struct __Pyx_CodeObjectCache { + int count; + int max_count; + __Pyx_CodeObjectCacheEntry* entries; +}; +static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; +static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); +static PyCodeObject *__pyx_find_code_object(int code_line); +static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); + +/* AddTraceback.proto */ +static void __Pyx_AddTraceback(const char *funcname, int c_line, + int py_line, const char *filename); + +#if PY_MAJOR_VERSION < 3 + static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); + static void __Pyx_ReleaseBuffer(Py_buffer *view); +#else + #define __Pyx_GetBuffer PyObject_GetBuffer + #define __Pyx_ReleaseBuffer PyBuffer_Release +#endif + + +/* BufferStructDeclare.proto */ +typedef struct { + Py_ssize_t shape, strides, suboffsets; +} __Pyx_Buf_DimInfo; +typedef struct { + size_t refcount; + Py_buffer pybuffer; +} __Pyx_Buffer; +typedef struct { + __Pyx_Buffer *rcbuffer; + char *data; + __Pyx_Buf_DimInfo diminfo[8]; +} __Pyx_LocalBuf_ND; + +/* MemviewSliceIsContig.proto */ +static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim); + +/* OverlappingSlices.proto */ +static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, + __Pyx_memviewslice *slice2, + int ndim, size_t itemsize); + +/* Capsule.proto */ +static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig); + +/* TypeInfoCompare.proto */ +static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b); + +/* MemviewSliceValidateAndInit.proto */ +static int __Pyx_ValidateAndInit_memviewslice( + int *axes_specs, + int c_or_f_flag, + int buf_flags, + int ndim, + __Pyx_TypeInfo *dtype, + __Pyx_BufFmt_StackElem stack[], + __Pyx_memviewslice *memviewslice, + PyObject *original_obj); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_float(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_double(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_short(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_long(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_float(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(PyObject *, int writable_flag); + +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *, int writable_flag); + +/* RealImag.proto */ +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + #define __Pyx_CREAL(z) ((z).real()) + #define __Pyx_CIMAG(z) ((z).imag()) + #else + #define __Pyx_CREAL(z) (__real__(z)) + #define __Pyx_CIMAG(z) (__imag__(z)) + #endif +#else + #define __Pyx_CREAL(z) ((z).real) + #define __Pyx_CIMAG(z) ((z).imag) +#endif +#if defined(__cplusplus) && CYTHON_CCOMPLEX\ + && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) + #define __Pyx_SET_CREAL(z,x) ((z).real(x)) + #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) +#else + #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) + #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) +#endif + +/* Arithmetic.proto */ +#if CYTHON_CCOMPLEX + #define __Pyx_c_eq_float(a, b) ((a)==(b)) + #define __Pyx_c_sum_float(a, b) ((a)+(b)) + #define __Pyx_c_diff_float(a, b) ((a)-(b)) + #define __Pyx_c_prod_float(a, b) ((a)*(b)) + #define __Pyx_c_quot_float(a, b) ((a)/(b)) + #define __Pyx_c_neg_float(a) (-(a)) + #ifdef __cplusplus + #define __Pyx_c_is_zero_float(z) ((z)==(float)0) + #define __Pyx_c_conj_float(z) (::std::conj(z)) + #if 1 + #define __Pyx_c_abs_float(z) (::std::abs(z)) + #define __Pyx_c_pow_float(a, b) (::std::pow(a, b)) + #endif + #else + #define __Pyx_c_is_zero_float(z) ((z)==0) + #define __Pyx_c_conj_float(z) (conjf(z)) + #if 1 + #define __Pyx_c_abs_float(z) (cabsf(z)) + #define __Pyx_c_pow_float(a, b) (cpowf(a, b)) + #endif + #endif +#else + static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex); + static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex); + #if 1 + static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex); + #endif +#endif + +/* Arithmetic.proto */ +#if CYTHON_CCOMPLEX + #define __Pyx_c_eq_double(a, b) ((a)==(b)) + #define __Pyx_c_sum_double(a, b) ((a)+(b)) + #define __Pyx_c_diff_double(a, b) ((a)-(b)) + #define __Pyx_c_prod_double(a, b) ((a)*(b)) + #define __Pyx_c_quot_double(a, b) ((a)/(b)) + #define __Pyx_c_neg_double(a) (-(a)) + #ifdef __cplusplus + #define __Pyx_c_is_zero_double(z) ((z)==(double)0) + #define __Pyx_c_conj_double(z) (::std::conj(z)) + #if 1 + #define __Pyx_c_abs_double(z) (::std::abs(z)) + #define __Pyx_c_pow_double(a, b) (::std::pow(a, b)) + #endif + #else + #define __Pyx_c_is_zero_double(z) ((z)==0) + #define __Pyx_c_conj_double(z) (conj(z)) + #if 1 + #define __Pyx_c_abs_double(z) (cabs(z)) + #define __Pyx_c_pow_double(a, b) (cpow(a, b)) + #endif + #endif +#else + static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex); + static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex); + #if 1 + static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex); + #endif +#endif + +/* None.proto */ +#include + +/* MemviewSliceCopyTemplate.proto */ +static __Pyx_memviewslice +__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, + const char *mode, int ndim, + size_t sizeof_dtype, int contig_flag, + int dtype_is_object); + +/* CIntFromPy.proto */ +static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); + +/* CIntFromPy.proto */ +static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); + +/* CIntFromPy.proto */ +static CYTHON_INLINE short __Pyx_PyInt_As_short(PyObject *); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value); + +/* BytesContains.proto */ +static CYTHON_INLINE int __Pyx_BytesContains(PyObject* bytes, char character); + +/* ImportNumPyArray.proto */ +static PyObject *__pyx_numpy_ndarray = NULL; +static PyObject* __Pyx_ImportNumPyArrayTypeIfAvailable(void); + +/* CIntFromPy.proto */ +static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); + +/* CheckBinaryVersion.proto */ +static int __Pyx_check_binary_version(void); + +/* FunctionImport.proto */ +static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig); + +/* InitStrings.proto */ +static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); + +static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/ +static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/ +static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/ +static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/ +static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ +static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ +static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ +static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ + +/* Module declarations from 'cython.view' */ + +/* Module declarations from 'cython' */ + +/* Module declarations from 'libc.math' */ + +/* Module declarations from 'cpython.buffer' */ + +/* Module declarations from 'libc.string' */ + +/* Module declarations from 'libc.stdio' */ + +/* Module declarations from '__builtin__' */ + +/* Module declarations from 'cpython.type' */ +static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0; + +/* Module declarations from 'cpython' */ + +/* Module declarations from 'cpython.object' */ + +/* Module declarations from 'cpython.ref' */ + +/* Module declarations from 'cpython.mem' */ + +/* Module declarations from 'numpy' */ + +/* Module declarations from 'numpy' */ +static PyTypeObject *__pyx_ptype_5numpy_dtype = 0; +static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0; +static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0; +static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0; +static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; +static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ + +/* Module declarations from 'libcpp.utility' */ + +/* Module declarations from 'libcpp.map' */ + +/* Module declarations from 'cornac.utils.fast_dict' */ +static PyTypeObject *__pyx_ptype_6cornac_5utils_9fast_dict_IntFloatDict = 0; + +/* Module declarations from 'libcpp' */ + +/* Module declarations from 'libcpp.vector' */ + +/* Module declarations from 'cornac.models.bpr.recom_bpr' */ +static PyTypeObject *__pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector = 0; +static bool (*__pyx_fuse_0__pyx_f_6cornac_6models_3bpr_9recom_bpr_has_non_zero)(__Pyx_memviewslice, __Pyx_memviewslice, short, short); /*proto*/ +static bool (*__pyx_fuse_1__pyx_f_6cornac_6models_3bpr_9recom_bpr_has_non_zero)(__Pyx_memviewslice, __Pyx_memviewslice, int, int); /*proto*/ +static bool (*__pyx_fuse_2__pyx_f_6cornac_6models_3bpr_9recom_bpr_has_non_zero)(__Pyx_memviewslice, __Pyx_memviewslice, long, long); /*proto*/ + +/* Module declarations from 'cornac.models.mter.recom_mter' */ +static int (*__pyx_f_6cornac_6models_4mter_10recom_mter_get_key)(int, int); /*proto*/ +static float (*__pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score)(__Pyx_memviewslice, int, int, int, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ +static double (*__pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score)(__Pyx_memviewslice, int, int, int, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ + +/* Module declarations from 'cornac.models.comparer.recom_comparer_sub' */ +static PyTypeObject *__pyx_array_type = 0; +static PyTypeObject *__pyx_MemviewEnum_type = 0; +static PyTypeObject *__pyx_memoryview_type = 0; +static PyTypeObject *__pyx_memoryviewslice_type = 0; +static PyObject *generic = 0; +static PyObject *strided = 0; +static PyObject *indirect = 0; +static PyObject *contiguous = 0; +static PyObject *indirect_contiguous = 0; +static int __pyx_memoryview_thread_locks_used; +static PyThread_type_lock __pyx_memoryview_thread_locks[8]; +static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ +static void *__pyx_align_pointer(void *, size_t); /*proto*/ +static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ +static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ +static PyObject *_unellipsify(PyObject *, int); /*proto*/ +static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ +static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ +static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ +static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/ +static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ +static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ +static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ +static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ +static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ +static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ +static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ +static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ +static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ +static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ +static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ +static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ +static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ +static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ +static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/ +static int __pyx_memoryview_err(PyObject *, char *); /*proto*/ +static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ +static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ +static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ +static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ +static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ +static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ +static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ +static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/ +static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t = { "float32_t", NULL, sizeof(__pyx_t_5numpy_float32_t), { 0 }, 0, 'R', 0, 0 }; +static __Pyx_TypeInfo __Pyx_TypeInfo_float = { "float", NULL, sizeof(float), { 0 }, 0, 'R', 0, 0 }; +static __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 }; +static __Pyx_TypeInfo __Pyx_TypeInfo_short = { "short", NULL, sizeof(short), { 0 }, 0, IS_UNSIGNED(short) ? 'U' : 'I', IS_UNSIGNED(short), 0 }; +static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 }; +static __Pyx_TypeInfo __Pyx_TypeInfo_long = { "long", NULL, sizeof(long), { 0 }, 0, IS_UNSIGNED(long) ? 'U' : 'I', IS_UNSIGNED(long), 0 }; +#define __Pyx_MODULE_NAME "cornac.models.comparer.recom_comparer_sub" +extern int __pyx_module_is_main_cornac__models__comparer__recom_comparer_sub; +int __pyx_module_is_main_cornac__models__comparer__recom_comparer_sub = 0; + +/* Implementation of 'cornac.models.comparer.recom_comparer_sub' */ +static PyObject *__pyx_builtin_super; +static PyObject *__pyx_builtin_print; +static PyObject *__pyx_builtin_zip; +static PyObject *__pyx_builtin_range; +static PyObject *__pyx_builtin_sum; +static PyObject *__pyx_builtin_TypeError; +static PyObject *__pyx_builtin_ValueError; +static PyObject *__pyx_builtin_RuntimeError; +static PyObject *__pyx_builtin_ImportError; +static PyObject *__pyx_builtin_MemoryError; +static PyObject *__pyx_builtin_enumerate; +static PyObject *__pyx_builtin_Ellipsis; +static PyObject *__pyx_builtin_id; +static PyObject *__pyx_builtin_IndexError; +static const char __pyx_k_A[] = "A"; +static const char __pyx_k_I[] = "I"; +static const char __pyx_k_O[] = "O"; +static const char __pyx_k_U[] = "U"; +static const char __pyx_k_X[] = "X"; +static const char __pyx_k_Y[] = "Y"; +static const char __pyx_k_c[] = "c"; +static const char __pyx_k_d[] = "d"; +static const char __pyx_k_i[] = "i"; +static const char __pyx_k_j[] = "j"; +static const char __pyx_k_k[] = "k"; +static const char __pyx_k_s[] = "s"; +static const char __pyx_k_u[] = "u"; +static const char __pyx_k_z[] = "z"; +static const char __pyx_k_2f[] = ".2f"; +static const char __pyx_k_G1[] = "G1"; +static const char __pyx_k_G2[] = "G2"; +static const char __pyx_k_G3[] = "G3"; +static const char __pyx_k_YI[] = "YI"; +static const char __pyx_k_YU[] = "YU"; +static const char __pyx_k__2[] = " = "; +static const char __pyx_k__3[] = ")"; +static const char __pyx_k__6[] = "()"; +static const char __pyx_k__7[] = "|"; +static const char __pyx_k_id[] = "id"; +static const char __pyx_k_lr[] = "lr"; +static const char __pyx_k_mp[] = "mp"; +static const char __pyx_k_np[] = "np"; +static const char __pyx_k_sp[] = "sp"; +static const char __pyx_k__35[] = "*"; +static const char __pyx_k__39[] = "_"; +static const char __pyx_k_aid[] = "aid"; +static const char __pyx_k_avg[] = "), avg("; +static const char __pyx_k_doc[] = "__doc__"; +static const char __pyx_k_eps[] = "eps"; +static const char __pyx_k_fit[] = "fit"; +static const char __pyx_k_get[] = "get"; +static const char __pyx_k_idx[] = "idx"; +static const char __pyx_k_iid[] = "iid"; +static const char __pyx_k_int[] = "int"; +static const char __pyx_k_jdx[] = "jdx"; +static const char __pyx_k_key[] = "key"; +static const char __pyx_k_max[] = "), max("; +static const char __pyx_k_min[] = ", min("; +static const char __pyx_k_new[] = "__new__"; +static const char __pyx_k_obj[] = "obj"; +static const char __pyx_k_oid[] = "oid"; +static const char __pyx_k_rng[] = "rng"; +static const char __pyx_k_sum[] = "sum"; +static const char __pyx_k_tup[] = "tup"; +static const char __pyx_k_uid[] = "uid"; +static const char __pyx_k_zip[] = "zip"; +static const char __pyx_k_2f_2[] = "%.2f"; +static const char __pyx_k_2f_3[] = "%.2f%%"; +static const char __pyx_k_MTER[] = "MTER"; +static const char __pyx_k_a_ji[] = "a_ji"; +static const char __pyx_k_args[] = "args"; +static const char __pyx_k_base[] = "base"; +static const char __pyx_k_desc[] = "desc"; +static const char __pyx_k_dict[] = "__dict__"; +static const char __pyx_k_exit[] = "__exit__"; +static const char __pyx_k_fill[] = "fill"; +static const char __pyx_k_i_ij[] = "i_ij"; +static const char __pyx_k_init[] = "__init__"; +static const char __pyx_k_intp[] = "intp"; +static const char __pyx_k_keys[] = "keys"; +static const char __pyx_k_kind[] = "kind"; +static const char __pyx_k_long[] = "long"; +static const char __pyx_k_loss[] = "loss"; +static const char __pyx_k_main[] = "__main__"; +static const char __pyx_k_mean[] = "mean"; +static const char __pyx_k_mode[] = "mode"; +static const char __pyx_k_mter[] = "mter"; +static const char __pyx_k_name[] = "name"; +static const char __pyx_k_ndim[] = "ndim"; +static const char __pyx_k_pack[] = "pack"; +static const char __pyx_k_pred[] = "pred"; +static const char __pyx_k_seed[] = "seed"; +static const char __pyx_k_self[] = "self"; +static const char __pyx_k_size[] = "size"; +static const char __pyx_k_step[] = "step"; +static const char __pyx_k_stop[] = "stop"; +static const char __pyx_k_temp[] = "temp"; +static const char __pyx_k_test[] = "__test__"; +static const char __pyx_k_time[] = "time"; +static const char __pyx_k_tqdm[] = "tqdm"; +static const char __pyx_k_ASCII[] = "ASCII"; +static const char __pyx_k_a_idx[] = "a_idx"; +static const char __pyx_k_array[] = "array"; +static const char __pyx_k_class[] = "__class__"; +static const char __pyx_k_count[] = "count"; +static const char __pyx_k_del_a[] = "del_a"; +static const char __pyx_k_del_i[] = "del_i"; +static const char __pyx_k_del_o[] = "del_o"; +static const char __pyx_k_del_u[] = "del_u"; +static const char __pyx_k_dtype[] = "dtype"; +static const char __pyx_k_enter[] = "__enter__"; +static const char __pyx_k_epoch[] = "epoch"; +static const char __pyx_k_error[] = "error"; +static const char __pyx_k_flags[] = "flags"; +static const char __pyx_k_float[] = "float"; +static const char __pyx_k_i_idx[] = "i_idx"; +static const char __pyx_k_int32[] = "int32"; +static const char __pyx_k_items[] = "items"; +static const char __pyx_k_j_idx[] = "j_idx"; +static const char __pyx_k_max_2[] = "max"; +static const char __pyx_k_min_2[] = "min"; +static const char __pyx_k_numpy[] = "numpy"; +static const char __pyx_k_o_idx[] = "o_idx"; +static const char __pyx_k_print[] = "print"; +static const char __pyx_k_range[] = "range"; +static const char __pyx_k_score[] = "score"; +static const char __pyx_k_shape[] = "shape"; +static const char __pyx_k_short[] = "short"; +static const char __pyx_k_split[] = "split"; +static const char __pyx_k_start[] = "start"; +static const char __pyx_k_strip[] = "strip"; +static const char __pyx_k_super[] = "super"; +static const char __pyx_k_u_idx[] = "u_idx"; +static const char __pyx_k_utils[] = "utils"; +static const char __pyx_k_X_aids[] = "X_aids"; +static const char __pyx_k_X_iids[] = "X_iids"; +static const char __pyx_k_X_uids[] = "X_uids"; +static const char __pyx_k_append[] = "append"; +static const char __pyx_k_arange[] = "arange"; +static const char __pyx_k_astype[] = "astype"; +static const char __pyx_k_del_g1[] = "del_g1"; +static const char __pyx_k_del_g2[] = "del_g2"; +static const char __pyx_k_del_g3[] = "del_g3"; +static const char __pyx_k_double[] = "double"; +static const char __pyx_k_encode[] = "encode"; +static const char __pyx_k_format[] = "format"; +static const char __pyx_k_import[] = "__import__"; +static const char __pyx_k_indptr[] = "indptr"; +static const char __pyx_k_init_2[] = "_init"; +static const char __pyx_k_kwargs[] = "kwargs"; +static const char __pyx_k_ld_bpr[] = "ld_bpr"; +static const char __pyx_k_ld_reg[] = "ld_reg"; +static const char __pyx_k_module[] = "__module__"; +static const char __pyx_k_name_2[] = "__name__"; +static const char __pyx_k_pickle[] = "pickle"; +static const char __pyx_k_reduce[] = "__reduce__"; +static const char __pyx_k_repeat[] = "repeat"; +static const char __pyx_k_struct[] = "struct"; +static const char __pyx_k_trange[] = "trange"; +static const char __pyx_k_tup_id[] = "tup_id"; +static const char __pyx_k_unpack[] = "unpack"; +static const char __pyx_k_update[] = "update"; +static const char __pyx_k_values[] = "values"; +static const char __pyx_k_window[] = "window"; +static const char __pyx_k_Counter[] = "Counter"; +static const char __pyx_k_YI_aids[] = "YI_aids"; +static const char __pyx_k_YI_iids[] = "YI_iids"; +static const char __pyx_k_YI_oids[] = "YI_oids"; +static const char __pyx_k_YU_aids[] = "YU_aids"; +static const char __pyx_k_YU_oids[] = "YU_oids"; +static const char __pyx_k_YU_uids[] = "YU_uids"; +static const char __pyx_k_asarray[] = "asarray"; +static const char __pyx_k_correct[] = "correct"; +static const char __pyx_k_del_bpr[] = "del_bpr"; +static const char __pyx_k_disable[] = "disable"; +static const char __pyx_k_ediff1d[] = "ediff1d"; +static const char __pyx_k_flatten[] = "flatten"; +static const char __pyx_k_float32[] = "float32"; +static const char __pyx_k_float64[] = "float64"; +static const char __pyx_k_fortran[] = "fortran"; +static const char __pyx_k_get_rng[] = "get_rng"; +static const char __pyx_k_i_index[] = "i_index"; +static const char __pyx_k_i_score[] = "i_score"; +static const char __pyx_k_indices[] = "indices"; +static const char __pyx_k_j_index[] = "j_index"; +static const char __pyx_k_j_score[] = "j_score"; +static const char __pyx_k_map_iid[] = "map_iid"; +static const char __pyx_k_memview[] = "memview"; +static const char __pyx_k_n_items[] = "n_items"; +static const char __pyx_k_n_users[] = "n_users"; +static const char __pyx_k_prepare[] = "__prepare__"; +static const char __pyx_k_randint[] = "randint"; +static const char __pyx_k_rng_neg[] = "rng_neg"; +static const char __pyx_k_rng_pos[] = "rng_pos"; +static const char __pyx_k_sgrad_A[] = "sgrad_A"; +static const char __pyx_k_sgrad_I[] = "sgrad_I"; +static const char __pyx_k_sgrad_O[] = "sgrad_O"; +static const char __pyx_k_sgrad_U[] = "sgrad_U"; +static const char __pyx_k_skipped[] = "skipped"; +static const char __pyx_k_tup_idx[] = "tup_idx"; +static const char __pyx_k_uniform[] = "uniform"; +static const char __pyx_k_val_set[] = "val_set"; +static const char __pyx_k_verbose[] = "verbose"; +static const char __pyx_k_Ellipsis[] = "Ellipsis"; +static const char __pyx_k_bpr_loss[] = "bpr_loss"; +static const char __pyx_k_data_set[] = "data_set"; +static const char __pyx_k_defaults[] = "defaults"; +static const char __pyx_k_fit_mter[] = "_fit_mter"; +static const char __pyx_k_getstate[] = "__getstate__"; +static const char __pyx_k_item_ids[] = "item_ids"; +static const char __pyx_k_itemsize[] = "itemsize"; +static const char __pyx_k_lambda_d[] = "lambda_d"; +static const char __pyx_k_max_iter[] = "max_iter"; +static const char __pyx_k_polarity[] = "polarity"; +static const char __pyx_k_progress[] = "progress"; +static const char __pyx_k_pyx_type[] = "__pyx_type"; +static const char __pyx_k_qualname[] = "__qualname__"; +static const char __pyx_k_r_values[] = "r_values"; +static const char __pyx_k_setstate[] = "__setstate__"; +static const char __pyx_k_sgrad_G1[] = "sgrad_G1"; +static const char __pyx_k_sgrad_G2[] = "sgrad_G2"; +static const char __pyx_k_sgrad_G3[] = "sgrad_G3"; +static const char __pyx_k_user_ids[] = "user_ids"; +static const char __pyx_k_user_idx[] = "user_idx"; +static const char __pyx_k_Compute_X[] = "Compute X"; +static const char __pyx_k_TypeError[] = "TypeError"; +static const char __pyx_k_del_a_reg[] = "del_a_reg"; +static const char __pyx_k_del_i_reg[] = "del_i_reg"; +static const char __pyx_k_del_o_reg[] = "del_o_reg"; +static const char __pyx_k_del_u_reg[] = "del_u_reg"; +static const char __pyx_k_enumerate[] = "enumerate"; +static const char __pyx_k_exception[] = "exception"; +static const char __pyx_k_float_int[] = "float|int"; +static const char __pyx_k_i_indices[] = "i_indices"; +static const char __pyx_k_itertools[] = "itertools"; +static const char __pyx_k_metaclass[] = "__metaclass__"; +static const char __pyx_k_n_aspects[] = "n_aspects"; +static const char __pyx_k_n_threads[] = "n_threads"; +static const char __pyx_k_num_items[] = "num_items"; +static const char __pyx_k_num_users[] = "num_users"; +static const char __pyx_k_pair_freq[] = "pair_freq"; +static const char __pyx_k_pyx_state[] = "__pyx_state"; +static const char __pyx_k_reduce_ex[] = "__reduce_ex__"; +static const char __pyx_k_sentiment[] = "sentiment"; +static const char __pyx_k_thread_id[] = "thread_id"; +static const char __pyx_k_train_set[] = "train_set"; +static const char __pyx_k_trainable[] = "trainable"; +static const char __pyx_k_u_indices[] = "u_indices"; +static const char __pyx_k_uir_tuple[] = "uir_tuple"; +static const char __pyx_k_Compute_YI[] = "Compute YI"; +static const char __pyx_k_Compute_YU[] = "Compute YU"; +static const char __pyx_k_IndexError[] = "IndexError"; +static const char __pyx_k_ValueError[] = "ValueError"; +static const char __pyx_k_aspect_idx[] = "aspect_idx"; +static const char __pyx_k_build_data[] = "_build_data"; +static const char __pyx_k_csr_matrix[] = "csr_matrix"; +static const char __pyx_k_del_g1_reg[] = "del_g1_reg"; +static const char __pyx_k_del_g2_reg[] = "del_g2_reg"; +static const char __pyx_k_del_g3_reg[] = "del_g3_reg"; +static const char __pyx_k_double_int[] = "double|int"; +static const char __pyx_k_float_long[] = "float|long"; +static const char __pyx_k_lambda_bpr[] = "lambda_bpr"; +static const char __pyx_k_lambda_reg[] = "lambda_reg"; +static const char __pyx_k_n_opinions[] = "n_opinions"; +static const char __pyx_k_pyx_result[] = "__pyx_result"; +static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; +static const char __pyx_k_signatures[] = "signatures"; +static const char __pyx_k_start_time[] = "start_time"; +static const char __pyx_k_total_time[] = "total_time"; +static const char __pyx_k_zeros_like[] = "zeros_like"; +static const char __pyx_k_ComparERSub[] = "ComparERSub"; +static const char __pyx_k_ImportError[] = "ImportError"; +static const char __pyx_k_MemoryError[] = "MemoryError"; +static const char __pyx_k_OrderedDict[] = "OrderedDict"; +static const char __pyx_k_PickleError[] = "PickleError"; +static const char __pyx_k_Recommender[] = "Recommender"; +static const char __pyx_k_collections[] = "collections"; +static const char __pyx_k_del_sqerror[] = "del_sqerror"; +static const char __pyx_k_double_long[] = "double|long"; +static const char __pyx_k_enum_window[] = "enum_window"; +static const char __pyx_k_float_short[] = "float|short"; +static const char __pyx_k_init_params[] = "init_params"; +static const char __pyx_k_is_unk_item[] = "is_unk_item"; +static const char __pyx_k_is_unk_user[] = "is_unk_user"; +static const char __pyx_k_most_common[] = "most_common"; +static const char __pyx_k_num_aspects[] = "num_aspects"; +static const char __pyx_k_num_samples[] = "num_samples"; +static const char __pyx_k_pair_counts[] = "pair_counts"; +static const char __pyx_k_rating_dict[] = "rating_dict"; +static const char __pyx_k_recommender[] = "recommender"; +static const char __pyx_k_rng_pos_iao[] = "rng_pos_iao"; +static const char __pyx_k_rng_pos_uao[] = "rng_pos_uao"; +static const char __pyx_k_rng_pos_uia[] = "rng_pos_uia"; +static const char __pyx_k_set_postfix[] = "set_postfix"; +static const char __pyx_k_user_counts[] = "user_counts"; +static const char __pyx_k_RuntimeError[] = "RuntimeError"; +static const char __pyx_k_combinations[] = "combinations"; +static const char __pyx_k_double_short[] = "double|short"; +static const char __pyx_k_item_aspects[] = "item_aspects"; +static const char __pyx_k_neg_item_ids[] = "neg_item_ids"; +static const char __pyx_k_num_opinions[] = "num_opinions"; +static const char __pyx_k_pyx_checksum[] = "__pyx_checksum"; +static const char __pyx_k_rating_scale[] = "rating_scale"; +static const char __pyx_k_rng_pos_pair[] = "rng_pos_pair"; +static const char __pyx_k_scipy_sparse[] = "scipy.sparse"; +static const char __pyx_k_stringsource[] = "stringsource"; +static const char __pyx_k_sub_item_ids[] = "sub_item_ids"; +static const char __pyx_k_user_indices[] = "user_indices"; +static const char __pyx_k_Count_aspects[] = "Count aspects"; +static const char __pyx_k_avg_sentiment[] = "avg_sentiment"; +static const char __pyx_k_counted_pairs[] = "counted_pairs"; +static const char __pyx_k_later_indices[] = "later_indices"; +static const char __pyx_k_map_aspect_id[] = "map_aspect_id"; +static const char __pyx_k_min_pair_freq[] = "min_pair_freq"; +static const char __pyx_k_min_user_freq[] = "min_user_freq"; +static const char __pyx_k_n_bpr_samples[] = "n_bpr_samples"; +static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer"; +static const char __pyx_k_rating_matrix[] = "rating_matrix"; +static const char __pyx_k_reduce_cython[] = "__reduce_cython__"; +static const char __pyx_k_ScoreException[] = "ScoreException"; +static const char __pyx_k_aspect_correct[] = "aspect_correct"; +static const char __pyx_k_aspect_indices[] = "aspect_indices"; +static const char __pyx_k_del_aspect_bpr[] = "del_aspect_bpr"; +static const char __pyx_k_item_sentiment[] = "item_sentiment"; +static const char __pyx_k_later_item_idx[] = "later_item_idx"; +static const char __pyx_k_n_item_factors[] = "n_item_factors"; +static const char __pyx_k_n_pair_samples[] = "n_pair_samples"; +static const char __pyx_k_n_user_factors[] = "n_user_factors"; +static const char __pyx_k_p_user_indices[] = "p_user_indices"; +static const char __pyx_k_quality_scores[] = "quality_scores"; +static const char __pyx_k_user_sentiment[] = "user_sentiment"; +static const char __pyx_k_ComparERSub_fit[] = "ComparERSub.fit"; +static const char __pyx_k_Enumerate_index[] = "Enumerate index"; +static const char __pyx_k_View_MemoryView[] = "View.MemoryView"; +static const char __pyx_k_allocate_buffer[] = "allocate_buffer"; +static const char __pyx_k_aspect_bpr_loss[] = "aspect_bpr_loss"; +static const char __pyx_k_dtype_is_object[] = "dtype_is_object"; +static const char __pyx_k_earlier_indices[] = "earlier_indices"; +static const char __pyx_k_min_common_freq[] = "min_common_freq"; +static const char __pyx_k_multiprocessing[] = "multiprocessing"; +static const char __pyx_k_num_bpr_samples[] = "num_bpr_samples"; +static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError"; +static const char __pyx_k_setstate_cython[] = "__setstate_cython__"; +static const char __pyx_k_total_sentiment[] = "total_sentiment"; +static const char __pyx_k_chrono_user_data[] = "chrono_user_data"; +static const char __pyx_k_comparable_pairs[] = ", # comparable pairs "; +static const char __pyx_k_earlier_item_idx[] = "earlier_item_idx"; +static const char __pyx_k_n_aspect_factors[] = "n_aspect_factors"; +static const char __pyx_k_num_pair_samples[] = "num_pair_samples"; +static const char __pyx_k_user_item_aspect[] = "user_item_aspect"; +static const char __pyx_k_utils_init_utils[] = "utils.init_utils"; +static const char __pyx_k_item_aspect_count[] = "item_aspect_count"; +static const char __pyx_k_n_element_samples[] = "n_element_samples"; +static const char __pyx_k_n_opinion_factors[] = "n_opinion_factors"; +static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum"; +static const char __pyx_k_ComparERSub___init[] = "ComparERSub.__init__"; +static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; +static const char __pyx_k_sentiment_polarity[] = "sentiment_polarity"; +static const char __pyx_k_strided_and_direct[] = ""; +static const char __pyx_k_Get_purchased_pairs[] = "Get purchased pairs"; +static const char __pyx_k_Get_skyline_aspects[] = "Get skyline aspects"; +static const char __pyx_k_earlier_later_pairs[] = "# earlier-later pairs: "; +static const char __pyx_k_item_aspect_opinion[] = "item_aspect_opinion"; +static const char __pyx_k_not_dominated_pairs[] = ", not dominated pairs "; +static const char __pyx_k_user_aspect_opinion[] = "user_aspect_opinion"; +static const char __pyx_k_common_aspect_counts[] = "common_aspect_counts"; +static const char __pyx_k_strided_and_indirect[] = ""; +static const char __pyx_k_Building_data_started[] = "Building data started!"; +static const char __pyx_k_ComparERSub__fit_mter[] = "ComparERSub._fit_mter"; +static const char __pyx_k_Optimization_finished[] = "Optimization finished!"; +static const char __pyx_k_compute_quality_score[] = "_compute_quality_score"; +static const char __pyx_k_contiguous_and_direct[] = ""; +static const char __pyx_k_not_dominated_pairs_2[] = "not_dominated_pairs"; +static const char __pyx_k_MemoryView_of_r_object[] = ""; +static const char __pyx_k_chrono_purchased_pairs[] = "chrono_purchased_pairs"; +static const char __pyx_k_ComparERSub__build_data[] = "ComparERSub._build_data"; +static const char __pyx_k_MemoryView_of_r_at_0x_x[] = ""; +static const char __pyx_k_Statistics_aspect_pairs[] = "Statistics: # aspect pairs >= "; +static const char __pyx_k_compute_attention_score[] = "_compute_attention_score"; +static const char __pyx_k_contiguous_and_indirect[] = ""; +static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'"; +static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d."; +static const char __pyx_k_build_item_quality_matrix[] = "_build_item_quality_matrix"; +static const char __pyx_k_sentiment_tup_ids_by_item[] = "sentiment_tup_ids_by_item"; +static const char __pyx_k_sentiment_tup_ids_by_user[] = "sentiment_tup_ids_by_user"; +static const char __pyx_k_total_sentiment_by_aspect[] = "total_sentiment_by_aspect"; +static const char __pyx_k_unique_earlier_later_pairs[] = ", # unique earlier-later pairs: "; +static const char __pyx_k_use_item_aspect_popularity[] = "use_item_aspect_popularity"; +static const char __pyx_k_No_matching_signature_found[] = "No matching signature found"; +static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array"; +static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous"; +static const char __pyx_k_build_chrono_purchased_pairs[] = "_build_chrono_purchased_pairs"; +static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data."; +static const char __pyx_k_Building_data_completed_in_d_s[] = "Building data completed in %d s"; +static const char __pyx_k_strided_and_direct_or_indirect[] = ""; +static const char __pyx_k_Building_chrono_purchared_items[] = "Building chrono purchared items pairs completed in %d s"; +static const char __pyx_k_ComparERSub__build_item_quality[] = "ComparERSub._build_item_quality_matrix"; +static const char __pyx_k_Explainable_Recommendation_with[] = "Explainable Recommendation with Comparative Constraints on Subjective Aspect-Level Quality\n\n Parameters\n ----------\n name: string, optional, default: 'ComparERSub'\n The name of the recommender model.\n\n rating_scale: float, optional, default: 5.0\n The maximum rating score of the dataset.\n\n n_user_factors: int, optional, default: 15\n The dimension of the user latent factors.\n\n n_item_factors: int, optional, default: 15\n The dimension of the item latent factors.\n\n n_aspect_factors: int, optional, default: 12\n The dimension of the aspect latent factors.\n\n n_opinion_factors: int, optional, default: 12\n The dimension of the opinion latent factors.\n\n n_bpr_samples: int, optional, default: 1000\n The number of samples from all BPR pairs.\n\n n_element_samples: int, optional, default: 50\n The number of samples from all ratings in each iteration.\n\n lambda_reg: float, optional, default: 0.1\n The regularization parameter.\n\n lambda_bpr: float, optional, default: 10.0\n The regularization parameter for BPR.\n\n max_iter: int, optional, default: 200000\n Maximum number of iterations for training.\n\n lr: float, optional, default: 0.1\n The learning rate for optimization\n\n n_threads: int, optional, default: 0\n Number of parallel threads for training. If n_threads=0, all CPU cores will be utilized.\n If seed is not None, n_threads=1 to remove randomness from parallelization.\n\n trainable: boolean, optional, default: True\n When False, the model is not trained and Cornac assumes that the model already pre-trained (U, I, A, O, G1, G2, and G3 are not None).\n\n verbose: boolean, optional, default: False\n When True, running logs are displayed.\n\n init_params: dictionary, optional, default: None\n List of initial parameters, e.g., init_params = {'U':U, 'I':I, 'A':A, 'O':O, 'G1""':G1, 'G2':G2, 'G3':G3}\n\n U: ndarray, shape (n_users, n_user_factors)\n The user latent factors, optional initialization via init_params\n \n I: ndarray, shape (n_items, n_item_factors)\n The item latent factors, optional initialization via init_params\n \n A: ndarray, shape (num_aspects+1, n_aspect_factors)\n The aspect latent factors, optional initialization via init_params\n \n O: ndarray, shape (num_opinions, n_opinion_factors)\n The opinion latent factors, optional initialization via init_params\n\n G1: ndarray, shape (n_user_factors, n_item_factors, n_aspect_factors)\n The core tensor for user, item, and aspect factors, optional initialization via init_params\n\n G2: ndarray, shape (n_user_factors, n_aspect_factors, n_opinion_factors)\n The core tensor for user, aspect, and opinion factors, optional initialization via init_params\n\n G3: ndarray, shape (n_item_factors, n_aspect_factors, n_opinion_factors)\n The core tensor for item, aspect, and opinion factors, optional initialization via init_params\n\n seed: int, optional, default: None\n Random seed for parameters initialization.\n\n References\n ----------\n * Trung-Hoang Le and Hady W. Lauw. \"Explainable Recommendation with Comparative Constraints on Product Aspects.\"\n ACM International Conference on Web Search and Data Mining (WSDM). 2021.\n "; +static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import"; +static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)"; +static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides"; +static const char __pyx_k_Building_item_aspect_quality_mat[] = "Building item aspect quality matrix completed in %d s"; +static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory."; +static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview"; +static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview"; +static const char __pyx_k_ComparERSub__build_chrono_purcha[] = "ComparERSub._build_chrono_purchased_pairs"; +static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array"; +static const char __pyx_k_Expected_at_least_d_argument_s_g[] = "Expected at least %d argument%s, got %d"; +static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd"; +static const char __pyx_k_Function_call_with_ambiguous_arg[] = "Function call with ambiguous argument types"; +static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))"; +static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported"; +static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s"; +static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported"; +static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)"; +static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object"; +static const char __pyx_k_cornac_models_comparer_recom_com[] = "cornac.models.comparer.recom_comparer_sub"; +static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)"; +static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous"; +static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__"; +static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import"; +static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides."; +static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short."; +static const char __pyx_k_cornac_models_comparer_recom_com_2[] = "cornac/models/comparer/recom_comparer_sub.pyx"; +static PyObject *__pyx_kp_u_2f; +static PyObject *__pyx_kp_u_2f_2; +static PyObject *__pyx_kp_u_2f_3; +static PyObject *__pyx_n_s_A; +static PyObject *__pyx_n_s_ASCII; +static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri; +static PyObject *__pyx_kp_u_Building_chrono_purchared_items; +static PyObject *__pyx_kp_u_Building_data_completed_in_d_s; +static PyObject *__pyx_kp_u_Building_data_started; +static PyObject *__pyx_kp_u_Building_item_aspect_quality_mat; +static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is; +static PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor; +static PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi; +static PyObject *__pyx_kp_s_Cannot_index_with_type_s; +static PyObject *__pyx_n_s_ComparERSub; +static PyObject *__pyx_n_u_ComparERSub; +static PyObject *__pyx_n_s_ComparERSub___init; +static PyObject *__pyx_n_s_ComparERSub__build_chrono_purcha; +static PyObject *__pyx_n_s_ComparERSub__build_data; +static PyObject *__pyx_n_s_ComparERSub__build_item_quality; +static PyObject *__pyx_n_s_ComparERSub__fit_mter; +static PyObject *__pyx_n_s_ComparERSub_fit; +static PyObject *__pyx_kp_u_Compute_X; +static PyObject *__pyx_kp_u_Compute_YI; +static PyObject *__pyx_kp_u_Compute_YU; +static PyObject *__pyx_kp_u_Count_aspects; +static PyObject *__pyx_n_s_Counter; +static PyObject *__pyx_n_s_Ellipsis; +static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr; +static PyObject *__pyx_kp_u_Enumerate_index; +static PyObject *__pyx_kp_s_Expected_at_least_d_argument_s_g; +static PyObject *__pyx_kp_s_Explainable_Recommendation_with; +static PyObject *__pyx_kp_u_Format_string_allocated_too_shor; +static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2; +static PyObject *__pyx_kp_s_Function_call_with_ambiguous_arg; +static PyObject *__pyx_n_s_G1; +static PyObject *__pyx_n_s_G2; +static PyObject *__pyx_n_s_G3; +static PyObject *__pyx_kp_u_Get_purchased_pairs; +static PyObject *__pyx_kp_u_Get_skyline_aspects; +static PyObject *__pyx_n_s_I; +static PyObject *__pyx_n_s_ImportError; +static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0; +static PyObject *__pyx_n_s_IndexError; +static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte; +static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr; +static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d; +static PyObject *__pyx_n_s_MTER; +static PyObject *__pyx_n_s_MemoryError; +static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x; +static PyObject *__pyx_kp_s_MemoryView_of_r_object; +static PyObject *__pyx_kp_s_No_matching_signature_found; +static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor; +static PyObject *__pyx_n_b_O; +static PyObject *__pyx_n_s_O; +static PyObject *__pyx_kp_u_Optimization_finished; +static PyObject *__pyx_n_s_OrderedDict; +static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a; +static PyObject *__pyx_n_s_PickleError; +static PyObject *__pyx_n_s_Recommender; +static PyObject *__pyx_n_s_RuntimeError; +static PyObject *__pyx_n_s_ScoreException; +static PyObject *__pyx_kp_u_Statistics_aspect_pairs; +static PyObject *__pyx_n_s_TypeError; +static PyObject *__pyx_n_s_U; +static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object; +static PyObject *__pyx_n_s_ValueError; +static PyObject *__pyx_n_s_View_MemoryView; +static PyObject *__pyx_n_s_X; +static PyObject *__pyx_n_s_X_aids; +static PyObject *__pyx_n_s_X_iids; +static PyObject *__pyx_n_s_X_uids; +static PyObject *__pyx_n_s_Y; +static PyObject *__pyx_n_s_YI; +static PyObject *__pyx_n_s_YI_aids; +static PyObject *__pyx_n_s_YI_iids; +static PyObject *__pyx_n_s_YI_oids; +static PyObject *__pyx_n_s_YU; +static PyObject *__pyx_n_s_YU_aids; +static PyObject *__pyx_n_s_YU_oids; +static PyObject *__pyx_n_s_YU_uids; +static PyObject *__pyx_kp_u__2; +static PyObject *__pyx_kp_u__3; +static PyObject *__pyx_n_s__35; +static PyObject *__pyx_n_s__39; +static PyObject *__pyx_kp_s__6; +static PyObject *__pyx_kp_s__7; +static PyObject *__pyx_n_s_a_idx; +static PyObject *__pyx_n_s_a_ji; +static PyObject *__pyx_n_s_aid; +static PyObject *__pyx_n_s_allocate_buffer; +static PyObject *__pyx_n_s_append; +static PyObject *__pyx_n_s_arange; +static PyObject *__pyx_n_s_args; +static PyObject *__pyx_n_s_array; +static PyObject *__pyx_n_s_asarray; +static PyObject *__pyx_n_s_aspect_bpr_loss; +static PyObject *__pyx_n_s_aspect_correct; +static PyObject *__pyx_n_s_aspect_idx; +static PyObject *__pyx_n_s_aspect_indices; +static PyObject *__pyx_n_s_astype; +static PyObject *__pyx_kp_u_avg; +static PyObject *__pyx_n_s_avg_sentiment; +static PyObject *__pyx_n_s_base; +static PyObject *__pyx_n_s_bpr_loss; +static PyObject *__pyx_n_u_bpr_loss; +static PyObject *__pyx_n_s_build_chrono_purchased_pairs; +static PyObject *__pyx_n_s_build_data; +static PyObject *__pyx_n_s_build_item_quality_matrix; +static PyObject *__pyx_n_s_c; +static PyObject *__pyx_n_u_c; +static PyObject *__pyx_n_s_chrono_purchased_pairs; +static PyObject *__pyx_n_s_chrono_user_data; +static PyObject *__pyx_n_s_class; +static PyObject *__pyx_n_s_cline_in_traceback; +static PyObject *__pyx_n_s_collections; +static PyObject *__pyx_n_s_combinations; +static PyObject *__pyx_n_s_common_aspect_counts; +static PyObject *__pyx_kp_u_comparable_pairs; +static PyObject *__pyx_n_s_compute_attention_score; +static PyObject *__pyx_n_s_compute_quality_score; +static PyObject *__pyx_kp_s_contiguous_and_direct; +static PyObject *__pyx_kp_s_contiguous_and_indirect; +static PyObject *__pyx_n_s_cornac_models_comparer_recom_com; +static PyObject *__pyx_kp_s_cornac_models_comparer_recom_com_2; +static PyObject *__pyx_n_s_correct; +static PyObject *__pyx_n_u_correct; +static PyObject *__pyx_n_s_count; +static PyObject *__pyx_n_s_counted_pairs; +static PyObject *__pyx_n_s_csr_matrix; +static PyObject *__pyx_n_u_d; +static PyObject *__pyx_n_s_data_set; +static PyObject *__pyx_n_s_defaults; +static PyObject *__pyx_n_s_del_a; +static PyObject *__pyx_n_s_del_a_reg; +static PyObject *__pyx_n_s_del_aspect_bpr; +static PyObject *__pyx_n_s_del_bpr; +static PyObject *__pyx_n_s_del_g1; +static PyObject *__pyx_n_s_del_g1_reg; +static PyObject *__pyx_n_s_del_g2; +static PyObject *__pyx_n_s_del_g2_reg; +static PyObject *__pyx_n_s_del_g3; +static PyObject *__pyx_n_s_del_g3_reg; +static PyObject *__pyx_n_s_del_i; +static PyObject *__pyx_n_s_del_i_reg; +static PyObject *__pyx_n_s_del_o; +static PyObject *__pyx_n_s_del_o_reg; +static PyObject *__pyx_n_s_del_sqerror; +static PyObject *__pyx_n_s_del_u; +static PyObject *__pyx_n_s_del_u_reg; +static PyObject *__pyx_n_s_desc; +static PyObject *__pyx_n_s_dict; +static PyObject *__pyx_n_s_disable; +static PyObject *__pyx_n_s_doc; +static PyObject *__pyx_n_s_double; +static PyObject *__pyx_kp_s_double_int; +static PyObject *__pyx_kp_s_double_long; +static PyObject *__pyx_kp_s_double_short; +static PyObject *__pyx_n_s_dtype; +static PyObject *__pyx_n_s_dtype_is_object; +static PyObject *__pyx_n_s_earlier_indices; +static PyObject *__pyx_n_s_earlier_item_idx; +static PyObject *__pyx_kp_u_earlier_later_pairs; +static PyObject *__pyx_n_s_ediff1d; +static PyObject *__pyx_n_s_encode; +static PyObject *__pyx_n_s_enter; +static PyObject *__pyx_n_s_enum_window; +static PyObject *__pyx_n_s_enumerate; +static PyObject *__pyx_n_s_epoch; +static PyObject *__pyx_n_s_eps; +static PyObject *__pyx_n_s_error; +static PyObject *__pyx_n_s_exception; +static PyObject *__pyx_n_s_exit; +static PyObject *__pyx_n_s_fill; +static PyObject *__pyx_n_s_fit; +static PyObject *__pyx_n_s_fit_mter; +static PyObject *__pyx_n_s_flags; +static PyObject *__pyx_n_s_flatten; +static PyObject *__pyx_n_s_float; +static PyObject *__pyx_n_s_float32; +static PyObject *__pyx_n_s_float64; +static PyObject *__pyx_kp_s_float_int; +static PyObject *__pyx_kp_s_float_long; +static PyObject *__pyx_kp_s_float_short; +static PyObject *__pyx_n_s_format; +static PyObject *__pyx_n_s_fortran; +static PyObject *__pyx_n_u_fortran; +static PyObject *__pyx_n_s_get; +static PyObject *__pyx_n_s_get_rng; +static PyObject *__pyx_n_s_getstate; +static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi; +static PyObject *__pyx_n_s_i; +static PyObject *__pyx_n_s_i_idx; +static PyObject *__pyx_n_s_i_ij; +static PyObject *__pyx_n_s_i_index; +static PyObject *__pyx_n_s_i_indices; +static PyObject *__pyx_n_s_i_score; +static PyObject *__pyx_n_s_id; +static PyObject *__pyx_n_s_idx; +static PyObject *__pyx_n_s_iid; +static PyObject *__pyx_n_s_import; +static PyObject *__pyx_n_s_indices; +static PyObject *__pyx_n_s_indptr; +static PyObject *__pyx_n_s_init; +static PyObject *__pyx_n_s_init_2; +static PyObject *__pyx_n_s_init_params; +static PyObject *__pyx_n_s_int; +static PyObject *__pyx_n_s_int32; +static PyObject *__pyx_n_s_intp; +static PyObject *__pyx_n_s_is_unk_item; +static PyObject *__pyx_n_s_is_unk_user; +static PyObject *__pyx_n_s_item_aspect_count; +static PyObject *__pyx_n_s_item_aspect_opinion; +static PyObject *__pyx_n_s_item_aspects; +static PyObject *__pyx_n_s_item_ids; +static PyObject *__pyx_n_s_item_sentiment; +static PyObject *__pyx_n_s_items; +static PyObject *__pyx_n_s_itemsize; +static PyObject *__pyx_kp_s_itemsize_0_for_cython_array; +static PyObject *__pyx_n_s_itertools; +static PyObject *__pyx_n_s_j; +static PyObject *__pyx_n_s_j_idx; +static PyObject *__pyx_n_s_j_index; +static PyObject *__pyx_n_s_j_score; +static PyObject *__pyx_n_s_jdx; +static PyObject *__pyx_n_s_k; +static PyObject *__pyx_n_s_key; +static PyObject *__pyx_n_s_keys; +static PyObject *__pyx_n_s_kind; +static PyObject *__pyx_n_s_kwargs; +static PyObject *__pyx_n_s_lambda_bpr; +static PyObject *__pyx_n_s_lambda_d; +static PyObject *__pyx_n_s_lambda_reg; +static PyObject *__pyx_n_s_later_indices; +static PyObject *__pyx_n_s_later_item_idx; +static PyObject *__pyx_n_s_ld_bpr; +static PyObject *__pyx_n_s_ld_reg; +static PyObject *__pyx_n_s_long; +static PyObject *__pyx_n_s_loss; +static PyObject *__pyx_n_u_loss; +static PyObject *__pyx_n_s_lr; +static PyObject *__pyx_n_s_main; +static PyObject *__pyx_n_s_map_aspect_id; +static PyObject *__pyx_n_s_map_iid; +static PyObject *__pyx_kp_u_max; +static PyObject *__pyx_n_s_max_2; +static PyObject *__pyx_n_s_max_iter; +static PyObject *__pyx_n_s_mean; +static PyObject *__pyx_n_s_memview; +static PyObject *__pyx_n_s_metaclass; +static PyObject *__pyx_kp_u_min; +static PyObject *__pyx_n_s_min_2; +static PyObject *__pyx_n_s_min_common_freq; +static PyObject *__pyx_n_s_min_pair_freq; +static PyObject *__pyx_n_s_min_user_freq; +static PyObject *__pyx_n_s_mode; +static PyObject *__pyx_n_s_module; +static PyObject *__pyx_n_s_most_common; +static PyObject *__pyx_n_s_mp; +static PyObject *__pyx_n_s_mter; +static PyObject *__pyx_n_s_multiprocessing; +static PyObject *__pyx_n_s_n_aspect_factors; +static PyObject *__pyx_n_s_n_aspects; +static PyObject *__pyx_n_s_n_bpr_samples; +static PyObject *__pyx_n_s_n_element_samples; +static PyObject *__pyx_n_s_n_item_factors; +static PyObject *__pyx_n_s_n_items; +static PyObject *__pyx_n_s_n_opinion_factors; +static PyObject *__pyx_n_s_n_opinions; +static PyObject *__pyx_n_s_n_pair_samples; +static PyObject *__pyx_n_s_n_threads; +static PyObject *__pyx_n_s_n_user_factors; +static PyObject *__pyx_n_s_n_users; +static PyObject *__pyx_n_s_name; +static PyObject *__pyx_n_s_name_2; +static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous; +static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou; +static PyObject *__pyx_n_s_ndim; +static PyObject *__pyx_n_s_neg_item_ids; +static PyObject *__pyx_n_s_new; +static PyObject *__pyx_kp_s_no_default___reduce___due_to_non; +static PyObject *__pyx_kp_u_not_dominated_pairs; +static PyObject *__pyx_n_s_not_dominated_pairs_2; +static PyObject *__pyx_n_s_np; +static PyObject *__pyx_n_s_num_aspects; +static PyObject *__pyx_n_s_num_bpr_samples; +static PyObject *__pyx_n_s_num_items; +static PyObject *__pyx_n_s_num_opinions; +static PyObject *__pyx_n_s_num_pair_samples; +static PyObject *__pyx_n_s_num_samples; +static PyObject *__pyx_n_s_num_users; +static PyObject *__pyx_n_s_numpy; +static PyObject *__pyx_kp_u_numpy_core_multiarray_failed_to; +static PyObject *__pyx_kp_u_numpy_core_umath_failed_to_impor; +static PyObject *__pyx_n_s_o_idx; +static PyObject *__pyx_n_s_obj; +static PyObject *__pyx_n_s_oid; +static PyObject *__pyx_n_s_p_user_indices; +static PyObject *__pyx_n_s_pack; +static PyObject *__pyx_n_s_pair_counts; +static PyObject *__pyx_n_s_pair_freq; +static PyObject *__pyx_n_s_pickle; +static PyObject *__pyx_n_s_polarity; +static PyObject *__pyx_n_s_pred; +static PyObject *__pyx_n_s_prepare; +static PyObject *__pyx_n_s_print; +static PyObject *__pyx_n_s_progress; +static PyObject *__pyx_n_s_pyx_PickleError; +static PyObject *__pyx_n_s_pyx_checksum; +static PyObject *__pyx_n_s_pyx_getbuffer; +static PyObject *__pyx_n_s_pyx_result; +static PyObject *__pyx_n_s_pyx_state; +static PyObject *__pyx_n_s_pyx_type; +static PyObject *__pyx_n_s_pyx_unpickle_Enum; +static PyObject *__pyx_n_s_pyx_vtable; +static PyObject *__pyx_n_s_quality_scores; +static PyObject *__pyx_n_s_qualname; +static PyObject *__pyx_n_s_r_values; +static PyObject *__pyx_n_s_randint; +static PyObject *__pyx_n_s_range; +static PyObject *__pyx_n_s_rating_dict; +static PyObject *__pyx_n_s_rating_matrix; +static PyObject *__pyx_n_s_rating_scale; +static PyObject *__pyx_n_s_recommender; +static PyObject *__pyx_n_s_reduce; +static PyObject *__pyx_n_s_reduce_cython; +static PyObject *__pyx_n_s_reduce_ex; +static PyObject *__pyx_n_s_repeat; +static PyObject *__pyx_n_s_rng; +static PyObject *__pyx_n_s_rng_neg; +static PyObject *__pyx_n_s_rng_pos; +static PyObject *__pyx_n_s_rng_pos_iao; +static PyObject *__pyx_n_s_rng_pos_pair; +static PyObject *__pyx_n_s_rng_pos_uao; +static PyObject *__pyx_n_s_rng_pos_uia; +static PyObject *__pyx_n_s_s; +static PyObject *__pyx_n_s_scipy_sparse; +static PyObject *__pyx_n_s_score; +static PyObject *__pyx_n_s_seed; +static PyObject *__pyx_n_s_self; +static PyObject *__pyx_n_s_sentiment; +static PyObject *__pyx_n_s_sentiment_polarity; +static PyObject *__pyx_n_s_sentiment_tup_ids_by_item; +static PyObject *__pyx_n_s_sentiment_tup_ids_by_user; +static PyObject *__pyx_n_s_set_postfix; +static PyObject *__pyx_n_s_setstate; +static PyObject *__pyx_n_s_setstate_cython; +static PyObject *__pyx_n_s_sgrad_A; +static PyObject *__pyx_n_s_sgrad_G1; +static PyObject *__pyx_n_s_sgrad_G2; +static PyObject *__pyx_n_s_sgrad_G3; +static PyObject *__pyx_n_s_sgrad_I; +static PyObject *__pyx_n_s_sgrad_O; +static PyObject *__pyx_n_s_sgrad_U; +static PyObject *__pyx_n_s_shape; +static PyObject *__pyx_n_s_short; +static PyObject *__pyx_n_s_signatures; +static PyObject *__pyx_n_s_size; +static PyObject *__pyx_n_s_skipped; +static PyObject *__pyx_n_u_skipped; +static PyObject *__pyx_n_s_sp; +static PyObject *__pyx_n_s_split; +static PyObject *__pyx_n_s_start; +static PyObject *__pyx_n_s_start_time; +static PyObject *__pyx_n_s_step; +static PyObject *__pyx_n_s_stop; +static PyObject *__pyx_kp_s_strided_and_direct; +static PyObject *__pyx_kp_s_strided_and_direct_or_indirect; +static PyObject *__pyx_kp_s_strided_and_indirect; +static PyObject *__pyx_kp_s_stringsource; +static PyObject *__pyx_n_s_strip; +static PyObject *__pyx_n_s_struct; +static PyObject *__pyx_n_s_sub_item_ids; +static PyObject *__pyx_n_s_sum; +static PyObject *__pyx_n_s_super; +static PyObject *__pyx_n_s_temp; +static PyObject *__pyx_n_s_test; +static PyObject *__pyx_n_s_thread_id; +static PyObject *__pyx_n_s_time; +static PyObject *__pyx_n_s_total_sentiment; +static PyObject *__pyx_n_s_total_sentiment_by_aspect; +static PyObject *__pyx_n_s_total_time; +static PyObject *__pyx_n_s_tqdm; +static PyObject *__pyx_n_s_train_set; +static PyObject *__pyx_n_s_trainable; +static PyObject *__pyx_n_s_trange; +static PyObject *__pyx_n_s_tup; +static PyObject *__pyx_n_s_tup_id; +static PyObject *__pyx_n_s_tup_idx; +static PyObject *__pyx_n_s_u; +static PyObject *__pyx_n_s_u_idx; +static PyObject *__pyx_n_s_u_indices; +static PyObject *__pyx_n_s_uid; +static PyObject *__pyx_n_s_uir_tuple; +static PyObject *__pyx_kp_s_unable_to_allocate_array_data; +static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str; +static PyObject *__pyx_n_s_uniform; +static PyObject *__pyx_kp_u_unique_earlier_later_pairs; +static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd; +static PyObject *__pyx_n_s_unpack; +static PyObject *__pyx_n_s_update; +static PyObject *__pyx_n_s_use_item_aspect_popularity; +static PyObject *__pyx_n_s_user_aspect_opinion; +static PyObject *__pyx_n_s_user_counts; +static PyObject *__pyx_n_s_user_ids; +static PyObject *__pyx_n_s_user_idx; +static PyObject *__pyx_n_s_user_indices; +static PyObject *__pyx_n_s_user_item_aspect; +static PyObject *__pyx_n_s_user_sentiment; +static PyObject *__pyx_n_s_utils; +static PyObject *__pyx_n_s_utils_init_utils; +static PyObject *__pyx_n_s_val_set; +static PyObject *__pyx_n_s_values; +static PyObject *__pyx_n_s_verbose; +static PyObject *__pyx_n_s_window; +static PyObject *__pyx_n_s_z; +static PyObject *__pyx_n_s_zeros_like; +static PyObject *__pyx_n_s_zip; +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_rating_scale, PyObject *__pyx_v_n_user_factors, PyObject *__pyx_v_n_item_factors, PyObject *__pyx_v_n_aspect_factors, PyObject *__pyx_v_n_opinion_factors, PyObject *__pyx_v_n_pair_samples, PyObject *__pyx_v_n_bpr_samples, PyObject *__pyx_v_n_element_samples, PyObject *__pyx_v_min_user_freq, PyObject *__pyx_v_min_pair_freq, PyObject *__pyx_v_min_common_freq, PyObject *__pyx_v_use_item_aspect_popularity, PyObject *__pyx_v_enum_window, PyObject *__pyx_v_lambda_reg, PyObject *__pyx_v_lambda_bpr, PyObject *__pyx_v_lambda_d, PyObject *__pyx_v_max_iter, PyObject *__pyx_v_lr, PyObject *__pyx_v_n_threads, PyObject *__pyx_v_trainable, PyObject *__pyx_v_verbose, PyObject *__pyx_v_init_params, PyObject *__pyx_v_seed); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_2_build_item_quality_matrix(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v_data_set, PyObject *__pyx_v_sentiment); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_4_build_data(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_data_set); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_6_build_chrono_purchased_pairs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_data_set, PyObject *__pyx_v_user_item_aspect, PyObject *__pyx_v_Y); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_8fit(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_train_set, PyObject *__pyx_v_val_set); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_10_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_12_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg, int __pyx_v_n_threads, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_iids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_YU, __Pyx_memviewslice __pyx_v_YU_uids, __Pyx_memviewslice __pyx_v_YU_aids, __Pyx_memviewslice __pyx_v_YU_oids, __Pyx_memviewslice __pyx_v_YI, __Pyx_memviewslice __pyx_v_YI_iids, __Pyx_memviewslice __pyx_v_YI_aids, __Pyx_memviewslice __pyx_v_YI_oids, struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict, __Pyx_memviewslice __pyx_v_user_ids, __Pyx_memviewslice __pyx_v_item_ids, __Pyx_memviewslice __pyx_v_neg_item_ids, __Pyx_memviewslice __pyx_v_indptr, __Pyx_memviewslice __pyx_v_p_user_indices, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_G1, __Pyx_memviewslice __pyx_v_G2, __Pyx_memviewslice __pyx_v_G3, __Pyx_memviewslice __pyx_v_U, __Pyx_memviewslice __pyx_v_I, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_O, __Pyx_memviewslice __pyx_v_sgrad_G1, __Pyx_memviewslice __pyx_v_sgrad_G2, __Pyx_memviewslice __pyx_v_sgrad_G3, __Pyx_memviewslice __pyx_v_sgrad_U, __Pyx_memviewslice __pyx_v_sgrad_I, __Pyx_memviewslice __pyx_v_sgrad_A, __Pyx_memviewslice __pyx_v_sgrad_O, PyArrayObject *__pyx_v_del_g1, PyArrayObject *__pyx_v_del_g2, PyArrayObject *__pyx_v_del_g3, PyArrayObject *__pyx_v_del_u, PyArrayObject *__pyx_v_del_i, PyArrayObject *__pyx_v_del_a, PyArrayObject *__pyx_v_del_o, PyArrayObject *__pyx_v_del_g1_reg, PyArrayObject *__pyx_v_del_g2_reg, PyArrayObject *__pyx_v_del_g3_reg, PyArrayObject *__pyx_v_del_u_reg, PyArrayObject *__pyx_v_del_i_reg, PyArrayObject *__pyx_v_del_a_reg, PyArrayObject *__pyx_v_del_o_reg); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_14_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg, int __pyx_v_n_threads, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_iids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_YU, __Pyx_memviewslice __pyx_v_YU_uids, __Pyx_memviewslice __pyx_v_YU_aids, __Pyx_memviewslice __pyx_v_YU_oids, __Pyx_memviewslice __pyx_v_YI, __Pyx_memviewslice __pyx_v_YI_iids, __Pyx_memviewslice __pyx_v_YI_aids, __Pyx_memviewslice __pyx_v_YI_oids, struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict, __Pyx_memviewslice __pyx_v_user_ids, __Pyx_memviewslice __pyx_v_item_ids, __Pyx_memviewslice __pyx_v_neg_item_ids, __Pyx_memviewslice __pyx_v_indptr, __Pyx_memviewslice __pyx_v_p_user_indices, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_G1, __Pyx_memviewslice __pyx_v_G2, __Pyx_memviewslice __pyx_v_G3, __Pyx_memviewslice __pyx_v_U, __Pyx_memviewslice __pyx_v_I, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_O, __Pyx_memviewslice __pyx_v_sgrad_G1, __Pyx_memviewslice __pyx_v_sgrad_G2, __Pyx_memviewslice __pyx_v_sgrad_G3, __Pyx_memviewslice __pyx_v_sgrad_U, __Pyx_memviewslice __pyx_v_sgrad_I, __Pyx_memviewslice __pyx_v_sgrad_A, __Pyx_memviewslice __pyx_v_sgrad_O, PyArrayObject *__pyx_v_del_g1, PyArrayObject *__pyx_v_del_g2, PyArrayObject *__pyx_v_del_g3, PyArrayObject *__pyx_v_del_u, PyArrayObject *__pyx_v_del_i, PyArrayObject *__pyx_v_del_a, PyArrayObject *__pyx_v_del_o, PyArrayObject *__pyx_v_del_g1_reg, PyArrayObject *__pyx_v_del_g2_reg, PyArrayObject *__pyx_v_del_g3_reg, PyArrayObject *__pyx_v_del_u_reg, PyArrayObject *__pyx_v_del_i_reg, PyArrayObject *__pyx_v_del_a_reg, PyArrayObject *__pyx_v_del_o_reg); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_16_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg, int __pyx_v_n_threads, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_iids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_YU, __Pyx_memviewslice __pyx_v_YU_uids, __Pyx_memviewslice __pyx_v_YU_aids, __Pyx_memviewslice __pyx_v_YU_oids, __Pyx_memviewslice __pyx_v_YI, __Pyx_memviewslice __pyx_v_YI_iids, __Pyx_memviewslice __pyx_v_YI_aids, __Pyx_memviewslice __pyx_v_YI_oids, struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict, __Pyx_memviewslice __pyx_v_user_ids, __Pyx_memviewslice __pyx_v_item_ids, __Pyx_memviewslice __pyx_v_neg_item_ids, __Pyx_memviewslice __pyx_v_indptr, __Pyx_memviewslice __pyx_v_p_user_indices, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_G1, __Pyx_memviewslice __pyx_v_G2, __Pyx_memviewslice __pyx_v_G3, __Pyx_memviewslice __pyx_v_U, __Pyx_memviewslice __pyx_v_I, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_O, __Pyx_memviewslice __pyx_v_sgrad_G1, __Pyx_memviewslice __pyx_v_sgrad_G2, __Pyx_memviewslice __pyx_v_sgrad_G3, __Pyx_memviewslice __pyx_v_sgrad_U, __Pyx_memviewslice __pyx_v_sgrad_I, __Pyx_memviewslice __pyx_v_sgrad_A, __Pyx_memviewslice __pyx_v_sgrad_O, PyArrayObject *__pyx_v_del_g1, PyArrayObject *__pyx_v_del_g2, PyArrayObject *__pyx_v_del_g3, PyArrayObject *__pyx_v_del_u, PyArrayObject *__pyx_v_del_i, PyArrayObject *__pyx_v_del_a, PyArrayObject *__pyx_v_del_o, PyArrayObject *__pyx_v_del_g1_reg, PyArrayObject *__pyx_v_del_g2_reg, PyArrayObject *__pyx_v_del_g3_reg, PyArrayObject *__pyx_v_del_u_reg, PyArrayObject *__pyx_v_del_i_reg, PyArrayObject *__pyx_v_del_a_reg, PyArrayObject *__pyx_v_del_o_reg); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_18_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg, int __pyx_v_n_threads, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_iids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_YU, __Pyx_memviewslice __pyx_v_YU_uids, __Pyx_memviewslice __pyx_v_YU_aids, __Pyx_memviewslice __pyx_v_YU_oids, __Pyx_memviewslice __pyx_v_YI, __Pyx_memviewslice __pyx_v_YI_iids, __Pyx_memviewslice __pyx_v_YI_aids, __Pyx_memviewslice __pyx_v_YI_oids, struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict, __Pyx_memviewslice __pyx_v_user_ids, __Pyx_memviewslice __pyx_v_item_ids, __Pyx_memviewslice __pyx_v_neg_item_ids, __Pyx_memviewslice __pyx_v_indptr, __Pyx_memviewslice __pyx_v_p_user_indices, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_G1, __Pyx_memviewslice __pyx_v_G2, __Pyx_memviewslice __pyx_v_G3, __Pyx_memviewslice __pyx_v_U, __Pyx_memviewslice __pyx_v_I, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_O, __Pyx_memviewslice __pyx_v_sgrad_G1, __Pyx_memviewslice __pyx_v_sgrad_G2, __Pyx_memviewslice __pyx_v_sgrad_G3, __Pyx_memviewslice __pyx_v_sgrad_U, __Pyx_memviewslice __pyx_v_sgrad_I, __Pyx_memviewslice __pyx_v_sgrad_A, __Pyx_memviewslice __pyx_v_sgrad_O, PyArrayObject *__pyx_v_del_g1, PyArrayObject *__pyx_v_del_g2, PyArrayObject *__pyx_v_del_g3, PyArrayObject *__pyx_v_del_u, PyArrayObject *__pyx_v_del_i, PyArrayObject *__pyx_v_del_a, PyArrayObject *__pyx_v_del_o, PyArrayObject *__pyx_v_del_g1_reg, PyArrayObject *__pyx_v_del_g2_reg, PyArrayObject *__pyx_v_del_g3_reg, PyArrayObject *__pyx_v_del_u_reg, PyArrayObject *__pyx_v_del_i_reg, PyArrayObject *__pyx_v_del_a_reg, PyArrayObject *__pyx_v_del_o_reg); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_20_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg, int __pyx_v_n_threads, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_iids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_YU, __Pyx_memviewslice __pyx_v_YU_uids, __Pyx_memviewslice __pyx_v_YU_aids, __Pyx_memviewslice __pyx_v_YU_oids, __Pyx_memviewslice __pyx_v_YI, __Pyx_memviewslice __pyx_v_YI_iids, __Pyx_memviewslice __pyx_v_YI_aids, __Pyx_memviewslice __pyx_v_YI_oids, struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict, __Pyx_memviewslice __pyx_v_user_ids, __Pyx_memviewslice __pyx_v_item_ids, __Pyx_memviewslice __pyx_v_neg_item_ids, __Pyx_memviewslice __pyx_v_indptr, __Pyx_memviewslice __pyx_v_p_user_indices, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_G1, __Pyx_memviewslice __pyx_v_G2, __Pyx_memviewslice __pyx_v_G3, __Pyx_memviewslice __pyx_v_U, __Pyx_memviewslice __pyx_v_I, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_O, __Pyx_memviewslice __pyx_v_sgrad_G1, __Pyx_memviewslice __pyx_v_sgrad_G2, __Pyx_memviewslice __pyx_v_sgrad_G3, __Pyx_memviewslice __pyx_v_sgrad_U, __Pyx_memviewslice __pyx_v_sgrad_I, __Pyx_memviewslice __pyx_v_sgrad_A, __Pyx_memviewslice __pyx_v_sgrad_O, PyArrayObject *__pyx_v_del_g1, PyArrayObject *__pyx_v_del_g2, PyArrayObject *__pyx_v_del_g3, PyArrayObject *__pyx_v_del_u, PyArrayObject *__pyx_v_del_i, PyArrayObject *__pyx_v_del_a, PyArrayObject *__pyx_v_del_o, PyArrayObject *__pyx_v_del_g1_reg, PyArrayObject *__pyx_v_del_g2_reg, PyArrayObject *__pyx_v_del_g3_reg, PyArrayObject *__pyx_v_del_u_reg, PyArrayObject *__pyx_v_del_i_reg, PyArrayObject *__pyx_v_del_a_reg, PyArrayObject *__pyx_v_del_o_reg); /* proto */ +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_22_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg, int __pyx_v_n_threads, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_iids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_YU, __Pyx_memviewslice __pyx_v_YU_uids, __Pyx_memviewslice __pyx_v_YU_aids, __Pyx_memviewslice __pyx_v_YU_oids, __Pyx_memviewslice __pyx_v_YI, __Pyx_memviewslice __pyx_v_YI_iids, __Pyx_memviewslice __pyx_v_YI_aids, __Pyx_memviewslice __pyx_v_YI_oids, struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict, __Pyx_memviewslice __pyx_v_user_ids, __Pyx_memviewslice __pyx_v_item_ids, __Pyx_memviewslice __pyx_v_neg_item_ids, __Pyx_memviewslice __pyx_v_indptr, __Pyx_memviewslice __pyx_v_p_user_indices, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_G1, __Pyx_memviewslice __pyx_v_G2, __Pyx_memviewslice __pyx_v_G3, __Pyx_memviewslice __pyx_v_U, __Pyx_memviewslice __pyx_v_I, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_O, __Pyx_memviewslice __pyx_v_sgrad_G1, __Pyx_memviewslice __pyx_v_sgrad_G2, __Pyx_memviewslice __pyx_v_sgrad_G3, __Pyx_memviewslice __pyx_v_sgrad_U, __Pyx_memviewslice __pyx_v_sgrad_I, __Pyx_memviewslice __pyx_v_sgrad_A, __Pyx_memviewslice __pyx_v_sgrad_O, PyArrayObject *__pyx_v_del_g1, PyArrayObject *__pyx_v_del_g2, PyArrayObject *__pyx_v_del_g3, PyArrayObject *__pyx_v_del_u, PyArrayObject *__pyx_v_del_i, PyArrayObject *__pyx_v_del_a, PyArrayObject *__pyx_v_del_o, PyArrayObject *__pyx_v_del_g1_reg, PyArrayObject *__pyx_v_del_g2_reg, PyArrayObject *__pyx_v_del_g3_reg, PyArrayObject *__pyx_v_del_u_reg, PyArrayObject *__pyx_v_del_i_reg, PyArrayObject *__pyx_v_del_a_reg, PyArrayObject *__pyx_v_del_o_reg); /* proto */ +static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ +static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ +static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ +static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */ +static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ +static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */ +static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */ +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */ +static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */ +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */ +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ +static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ +static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject *__pyx_v___pyx_state); /* proto */ +static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_get = {0, &__pyx_n_s_get, 0, 0, 0}; +static __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_keys = {0, &__pyx_n_s_keys, 0, 0, 0}; +static PyObject *__pyx_float_0_1; +static PyObject *__pyx_float_0_5; +static PyObject *__pyx_float_5_0; +static PyObject *__pyx_float_0_01; +static PyObject *__pyx_float_100_0; +static PyObject *__pyx_int_0; +static PyObject *__pyx_int_1; +static PyObject *__pyx_int_2; +static PyObject *__pyx_int_3; +static PyObject *__pyx_int_8; +static PyObject *__pyx_int_10; +static PyObject *__pyx_int_50; +static PyObject *__pyx_int_58; +static PyObject *__pyx_int_1000; +static PyObject *__pyx_int_200000; +static PyObject *__pyx_int_184977713; +static PyObject *__pyx_int_2147483648; +static PyObject *__pyx_int_neg_1; +static PyObject *__pyx_tuple_; +static PyObject *__pyx_tuple__4; +static PyObject *__pyx_tuple__5; +static PyObject *__pyx_tuple__8; +static PyObject *__pyx_tuple__9; +static PyObject *__pyx_slice__31; +static PyObject *__pyx_tuple__10; +static PyObject *__pyx_tuple__11; +static PyObject *__pyx_tuple__12; +static PyObject *__pyx_tuple__13; +static PyObject *__pyx_tuple__14; +static PyObject *__pyx_tuple__15; +static PyObject *__pyx_tuple__16; +static PyObject *__pyx_tuple__17; +static PyObject *__pyx_tuple__18; +static PyObject *__pyx_tuple__19; +static PyObject *__pyx_tuple__20; +static PyObject *__pyx_tuple__21; +static PyObject *__pyx_tuple__22; +static PyObject *__pyx_tuple__23; +static PyObject *__pyx_tuple__24; +static PyObject *__pyx_tuple__25; +static PyObject *__pyx_tuple__26; +static PyObject *__pyx_tuple__27; +static PyObject *__pyx_tuple__28; +static PyObject *__pyx_tuple__29; +static PyObject *__pyx_tuple__30; +static PyObject *__pyx_tuple__32; +static PyObject *__pyx_tuple__33; +static PyObject *__pyx_tuple__34; +static PyObject *__pyx_tuple__36; +static PyObject *__pyx_tuple__38; +static PyObject *__pyx_tuple__40; +static PyObject *__pyx_tuple__42; +static PyObject *__pyx_tuple__44; +static PyObject *__pyx_tuple__46; +static PyObject *__pyx_tuple__48; +static PyObject *__pyx_tuple__49; +static PyObject *__pyx_tuple__51; +static PyObject *__pyx_tuple__52; +static PyObject *__pyx_tuple__53; +static PyObject *__pyx_tuple__54; +static PyObject *__pyx_tuple__55; +static PyObject *__pyx_tuple__56; +static PyObject *__pyx_codeobj__37; +static PyObject *__pyx_codeobj__41; +static PyObject *__pyx_codeobj__43; +static PyObject *__pyx_codeobj__45; +static PyObject *__pyx_codeobj__47; +static PyObject *__pyx_codeobj__50; +static PyObject *__pyx_codeobj__57; +/* Late includes */ + +/* "cornac/models/comparer/recom_comparer_sub.pyx":131 + * ACM International Conference on Web Search and Data Mining (WSDM). 2021. + * """ + * def __init__( # <<<<<<<<<<<<<< + * self, + * name="ComparERSub", + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_1__init__(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_1__init__ = {"__init__", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_1__init__, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_1__init__(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_name = 0; + PyObject *__pyx_v_rating_scale = 0; + PyObject *__pyx_v_n_user_factors = 0; + PyObject *__pyx_v_n_item_factors = 0; + PyObject *__pyx_v_n_aspect_factors = 0; + PyObject *__pyx_v_n_opinion_factors = 0; + PyObject *__pyx_v_n_pair_samples = 0; + PyObject *__pyx_v_n_bpr_samples = 0; + PyObject *__pyx_v_n_element_samples = 0; + PyObject *__pyx_v_min_user_freq = 0; + PyObject *__pyx_v_min_pair_freq = 0; + PyObject *__pyx_v_min_common_freq = 0; + PyObject *__pyx_v_use_item_aspect_popularity = 0; + PyObject *__pyx_v_enum_window = 0; + PyObject *__pyx_v_lambda_reg = 0; + PyObject *__pyx_v_lambda_bpr = 0; + PyObject *__pyx_v_lambda_d = 0; + PyObject *__pyx_v_max_iter = 0; + PyObject *__pyx_v_lr = 0; + PyObject *__pyx_v_n_threads = 0; + PyObject *__pyx_v_trainable = 0; + PyObject *__pyx_v_verbose = 0; + PyObject *__pyx_v_init_params = 0; + PyObject *__pyx_v_seed = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__init__ (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_name,&__pyx_n_s_rating_scale,&__pyx_n_s_n_user_factors,&__pyx_n_s_n_item_factors,&__pyx_n_s_n_aspect_factors,&__pyx_n_s_n_opinion_factors,&__pyx_n_s_n_pair_samples,&__pyx_n_s_n_bpr_samples,&__pyx_n_s_n_element_samples,&__pyx_n_s_min_user_freq,&__pyx_n_s_min_pair_freq,&__pyx_n_s_min_common_freq,&__pyx_n_s_use_item_aspect_popularity,&__pyx_n_s_enum_window,&__pyx_n_s_lambda_reg,&__pyx_n_s_lambda_bpr,&__pyx_n_s_lambda_d,&__pyx_n_s_max_iter,&__pyx_n_s_lr,&__pyx_n_s_n_threads,&__pyx_n_s_trainable,&__pyx_n_s_verbose,&__pyx_n_s_init_params,&__pyx_n_s_seed,0}; + PyObject* values[25] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + values[1] = ((PyObject *)((PyObject*)__pyx_n_u_ComparERSub)); + values[2] = ((PyObject *)((PyObject*)__pyx_float_5_0)); + values[3] = ((PyObject *)((PyObject *)__pyx_int_8)); + values[4] = ((PyObject *)((PyObject *)__pyx_int_8)); + values[5] = ((PyObject *)((PyObject *)__pyx_int_8)); + values[6] = ((PyObject *)((PyObject *)__pyx_int_8)); + values[7] = ((PyObject *)((PyObject *)__pyx_int_1000)); + values[8] = ((PyObject *)((PyObject *)__pyx_int_1000)); + values[9] = ((PyObject *)((PyObject *)__pyx_int_50)); + values[10] = ((PyObject *)((PyObject *)__pyx_int_2)); + values[11] = ((PyObject *)((PyObject *)__pyx_int_1)); + values[12] = ((PyObject *)((PyObject *)__pyx_int_1)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":145 + * min_pair_freq=1, + * min_common_freq=1, + * use_item_aspect_popularity=True, # <<<<<<<<<<<<<< + * enum_window=None, + * lambda_reg=0.1, + */ + values[13] = ((PyObject *)((PyObject *)Py_True)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":146 + * min_common_freq=1, + * use_item_aspect_popularity=True, + * enum_window=None, # <<<<<<<<<<<<<< + * lambda_reg=0.1, + * lambda_bpr=10, + */ + values[14] = ((PyObject *)((PyObject *)Py_None)); + values[15] = ((PyObject *)((PyObject*)__pyx_float_0_1)); + values[16] = ((PyObject *)((PyObject *)__pyx_int_10)); + values[17] = ((PyObject *)((PyObject*)__pyx_float_0_01)); + values[18] = ((PyObject *)((PyObject *)__pyx_int_200000)); + values[19] = ((PyObject *)((PyObject*)__pyx_float_0_5)); + values[20] = ((PyObject *)((PyObject *)__pyx_int_0)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":153 + * lr=0.5, + * n_threads=0, + * trainable=True, # <<<<<<<<<<<<<< + * verbose=False, + * init_params=None, + */ + values[21] = ((PyObject *)((PyObject *)Py_True)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":154 + * n_threads=0, + * trainable=True, + * verbose=False, # <<<<<<<<<<<<<< + * init_params=None, + * seed=None, + */ + values[22] = ((PyObject *)((PyObject *)Py_False)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":155 + * trainable=True, + * verbose=False, + * init_params=None, # <<<<<<<<<<<<<< + * seed=None, + * ): + */ + values[23] = ((PyObject *)((PyObject *)Py_None)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":156 + * verbose=False, + * init_params=None, + * seed=None, # <<<<<<<<<<<<<< + * ): + * super().__init__(name=name, rating_scale = rating_scale, n_user_factors = n_user_factors, n_item_factors = n_item_factors, n_aspect_factors = n_aspect_factors, n_opinion_factors = n_opinion_factors, n_bpr_samples = n_bpr_samples, n_element_samples = n_element_samples, lambda_reg = lambda_reg, lambda_bpr = lambda_bpr, max_iter = max_iter, lr = lr, n_threads=n_threads, seed = seed, trainable=trainable, init_params=init_params, verbose=verbose) + */ + values[24] = ((PyObject *)((PyObject *)Py_None)); + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_name); + if (value) { values[1] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 2: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rating_scale); + if (value) { values[2] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 3: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_user_factors); + if (value) { values[3] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 4: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_item_factors); + if (value) { values[4] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 5: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_aspect_factors); + if (value) { values[5] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 6: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_opinion_factors); + if (value) { values[6] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 7: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_pair_samples); + if (value) { values[7] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 8: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_bpr_samples); + if (value) { values[8] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 9: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_element_samples); + if (value) { values[9] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 10: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_min_user_freq); + if (value) { values[10] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 11: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_min_pair_freq); + if (value) { values[11] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 12: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_min_common_freq); + if (value) { values[12] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 13: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_use_item_aspect_popularity); + if (value) { values[13] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 14: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_enum_window); + if (value) { values[14] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 15: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_lambda_reg); + if (value) { values[15] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 16: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_lambda_bpr); + if (value) { values[16] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 17: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_lambda_d); + if (value) { values[17] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 18: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_max_iter); + if (value) { values[18] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 19: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_lr); + if (value) { values[19] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 20: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_threads); + if (value) { values[20] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 21: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_trainable); + if (value) { values[21] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 22: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_verbose); + if (value) { values[22] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 23: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_init_params); + if (value) { values[23] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 24: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_seed); + if (value) { values[24] = value; kw_args--; } + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__init__") < 0)) __PYX_ERR(0, 131, __pyx_L3_error) + } + } else { + switch (PyTuple_GET_SIZE(__pyx_args)) { + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + break; + default: goto __pyx_L5_argtuple_error; + } + } + __pyx_v_self = values[0]; + __pyx_v_name = values[1]; + __pyx_v_rating_scale = values[2]; + __pyx_v_n_user_factors = values[3]; + __pyx_v_n_item_factors = values[4]; + __pyx_v_n_aspect_factors = values[5]; + __pyx_v_n_opinion_factors = values[6]; + __pyx_v_n_pair_samples = values[7]; + __pyx_v_n_bpr_samples = values[8]; + __pyx_v_n_element_samples = values[9]; + __pyx_v_min_user_freq = values[10]; + __pyx_v_min_pair_freq = values[11]; + __pyx_v_min_common_freq = values[12]; + __pyx_v_use_item_aspect_popularity = values[13]; + __pyx_v_enum_window = values[14]; + __pyx_v_lambda_reg = values[15]; + __pyx_v_lambda_bpr = values[16]; + __pyx_v_lambda_d = values[17]; + __pyx_v_max_iter = values[18]; + __pyx_v_lr = values[19]; + __pyx_v_n_threads = values[20]; + __pyx_v_trainable = values[21]; + __pyx_v_verbose = values[22]; + __pyx_v_init_params = values[23]; + __pyx_v_seed = values[24]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__init__", 0, 1, 25, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 131, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub___init__(__pyx_self, __pyx_v_self, __pyx_v_name, __pyx_v_rating_scale, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_n_pair_samples, __pyx_v_n_bpr_samples, __pyx_v_n_element_samples, __pyx_v_min_user_freq, __pyx_v_min_pair_freq, __pyx_v_min_common_freq, __pyx_v_use_item_aspect_popularity, __pyx_v_enum_window, __pyx_v_lambda_reg, __pyx_v_lambda_bpr, __pyx_v_lambda_d, __pyx_v_max_iter, __pyx_v_lr, __pyx_v_n_threads, __pyx_v_trainable, __pyx_v_verbose, __pyx_v_init_params, __pyx_v_seed); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":131 + * ACM International Conference on Web Search and Data Mining (WSDM). 2021. + * """ + * def __init__( # <<<<<<<<<<<<<< + * self, + * name="ComparERSub", + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_rating_scale, PyObject *__pyx_v_n_user_factors, PyObject *__pyx_v_n_item_factors, PyObject *__pyx_v_n_aspect_factors, PyObject *__pyx_v_n_opinion_factors, PyObject *__pyx_v_n_pair_samples, PyObject *__pyx_v_n_bpr_samples, PyObject *__pyx_v_n_element_samples, PyObject *__pyx_v_min_user_freq, PyObject *__pyx_v_min_pair_freq, PyObject *__pyx_v_min_common_freq, PyObject *__pyx_v_use_item_aspect_popularity, PyObject *__pyx_v_enum_window, PyObject *__pyx_v_lambda_reg, PyObject *__pyx_v_lambda_bpr, PyObject *__pyx_v_lambda_d, PyObject *__pyx_v_max_iter, PyObject *__pyx_v_lr, PyObject *__pyx_v_n_threads, PyObject *__pyx_v_trainable, PyObject *__pyx_v_verbose, PyObject *__pyx_v_init_params, PyObject *__pyx_v_seed) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__init__", 0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":158 + * seed=None, + * ): + * super().__init__(name=name, rating_scale = rating_scale, n_user_factors = n_user_factors, n_item_factors = n_item_factors, n_aspect_factors = n_aspect_factors, n_opinion_factors = n_opinion_factors, n_bpr_samples = n_bpr_samples, n_element_samples = n_element_samples, lambda_reg = lambda_reg, lambda_bpr = lambda_bpr, max_iter = max_iter, lr = lr, n_threads=n_threads, seed = seed, trainable=trainable, init_params=init_params, verbose=verbose) # <<<<<<<<<<<<<< + * self.lambda_d = lambda_d + * self.n_pair_samples = n_pair_samples + */ + __pyx_t_1 = __Pyx_CyFunction_GetClassObj(__pyx_self); + if (!__pyx_t_1) { PyErr_SetString(PyExc_SystemError, "super(): empty __class__ cell"); __PYX_ERR(0, 158, __pyx_L1_error) } + __Pyx_INCREF(__pyx_t_1); + __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 158, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); + __Pyx_INCREF(__pyx_v_self); + __Pyx_GIVEREF(__pyx_v_self); + PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_v_self); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_super, __pyx_t_2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 158, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_init); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 158, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(17); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 158, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_name, __pyx_v_name) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_rating_scale, __pyx_v_rating_scale) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_n_user_factors, __pyx_v_n_user_factors) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_n_item_factors, __pyx_v_n_item_factors) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_n_aspect_factors, __pyx_v_n_aspect_factors) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_n_opinion_factors, __pyx_v_n_opinion_factors) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_n_bpr_samples, __pyx_v_n_bpr_samples) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_n_element_samples, __pyx_v_n_element_samples) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_lambda_reg, __pyx_v_lambda_reg) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_lambda_bpr, __pyx_v_lambda_bpr) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_max_iter, __pyx_v_max_iter) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_lr, __pyx_v_lr) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_n_threads, __pyx_v_n_threads) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_seed, __pyx_v_seed) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_trainable, __pyx_v_trainable) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_init_params, __pyx_v_init_params) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_verbose, __pyx_v_verbose) < 0) __PYX_ERR(0, 158, __pyx_L1_error) + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_empty_tuple, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 158, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":159 + * ): + * super().__init__(name=name, rating_scale = rating_scale, n_user_factors = n_user_factors, n_item_factors = n_item_factors, n_aspect_factors = n_aspect_factors, n_opinion_factors = n_opinion_factors, n_bpr_samples = n_bpr_samples, n_element_samples = n_element_samples, lambda_reg = lambda_reg, lambda_bpr = lambda_bpr, max_iter = max_iter, lr = lr, n_threads=n_threads, seed = seed, trainable=trainable, init_params=init_params, verbose=verbose) + * self.lambda_d = lambda_d # <<<<<<<<<<<<<< + * self.n_pair_samples = n_pair_samples + * self.min_user_freq = min_user_freq + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d, __pyx_v_lambda_d) < 0) __PYX_ERR(0, 159, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":160 + * super().__init__(name=name, rating_scale = rating_scale, n_user_factors = n_user_factors, n_item_factors = n_item_factors, n_aspect_factors = n_aspect_factors, n_opinion_factors = n_opinion_factors, n_bpr_samples = n_bpr_samples, n_element_samples = n_element_samples, lambda_reg = lambda_reg, lambda_bpr = lambda_bpr, max_iter = max_iter, lr = lr, n_threads=n_threads, seed = seed, trainable=trainable, init_params=init_params, verbose=verbose) + * self.lambda_d = lambda_d + * self.n_pair_samples = n_pair_samples # <<<<<<<<<<<<<< + * self.min_user_freq = min_user_freq + * self.min_pair_freq = min_pair_freq + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_n_pair_samples, __pyx_v_n_pair_samples) < 0) __PYX_ERR(0, 160, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":161 + * self.lambda_d = lambda_d + * self.n_pair_samples = n_pair_samples + * self.min_user_freq = min_user_freq # <<<<<<<<<<<<<< + * self.min_pair_freq = min_pair_freq + * self.min_common_freq = min_common_freq + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_min_user_freq, __pyx_v_min_user_freq) < 0) __PYX_ERR(0, 161, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":162 + * self.n_pair_samples = n_pair_samples + * self.min_user_freq = min_user_freq + * self.min_pair_freq = min_pair_freq # <<<<<<<<<<<<<< + * self.min_common_freq = min_common_freq + * self.use_item_aspect_popularity = use_item_aspect_popularity + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_min_pair_freq, __pyx_v_min_pair_freq) < 0) __PYX_ERR(0, 162, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":163 + * self.min_user_freq = min_user_freq + * self.min_pair_freq = min_pair_freq + * self.min_common_freq = min_common_freq # <<<<<<<<<<<<<< + * self.use_item_aspect_popularity = use_item_aspect_popularity + * self.enum_window = enum_window + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_min_common_freq, __pyx_v_min_common_freq) < 0) __PYX_ERR(0, 163, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":164 + * self.min_pair_freq = min_pair_freq + * self.min_common_freq = min_common_freq + * self.use_item_aspect_popularity = use_item_aspect_popularity # <<<<<<<<<<<<<< + * self.enum_window = enum_window + * + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_use_item_aspect_popularity, __pyx_v_use_item_aspect_popularity) < 0) __PYX_ERR(0, 164, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":165 + * self.min_common_freq = min_common_freq + * self.use_item_aspect_popularity = use_item_aspect_popularity + * self.enum_window = enum_window # <<<<<<<<<<<<<< + * + * + */ + if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_enum_window, __pyx_v_enum_window) < 0) __PYX_ERR(0, 165, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":131 + * ACM International Conference on Web Search and Data Mining (WSDM). 2021. + * """ + * def __init__( # <<<<<<<<<<<<<< + * self, + * name="ComparERSub", + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_sub.pyx":168 + * + * + * def _build_item_quality_matrix(self, data_set, sentiment): # <<<<<<<<<<<<<< + * start_time = time() + * quality_scores = [] + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_3_build_item_quality_matrix(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_3_build_item_quality_matrix = {"_build_item_quality_matrix", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_3_build_item_quality_matrix, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_3_build_item_quality_matrix(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + CYTHON_UNUSED PyObject *__pyx_v_data_set = 0; + PyObject *__pyx_v_sentiment = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_build_item_quality_matrix (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_data_set,&__pyx_n_s_sentiment,0}; + PyObject* values[3] = {0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_data_set)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_item_quality_matrix", 1, 3, 3, 1); __PYX_ERR(0, 168, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sentiment)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_item_quality_matrix", 1, 3, 3, 2); __PYX_ERR(0, 168, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_build_item_quality_matrix") < 0)) __PYX_ERR(0, 168, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 3) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + } + __pyx_v_self = values[0]; + __pyx_v_data_set = values[1]; + __pyx_v_sentiment = values[2]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_build_item_quality_matrix", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 168, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._build_item_quality_matrix", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_2_build_item_quality_matrix(__pyx_self, __pyx_v_self, __pyx_v_data_set, __pyx_v_sentiment); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_2_build_item_quality_matrix(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v_data_set, PyObject *__pyx_v_sentiment) { + PyObject *__pyx_v_start_time = NULL; + PyObject *__pyx_v_quality_scores = NULL; + PyObject *__pyx_v_map_iid = NULL; + PyObject *__pyx_v_map_aspect_id = NULL; + PyObject *__pyx_v_iid = NULL; + PyObject *__pyx_v_sentiment_tup_ids_by_user = NULL; + PyObject *__pyx_v_item_aspects = NULL; + PyObject *__pyx_v_item_aspect_count = NULL; + PyObject *__pyx_v_total_sentiment_by_aspect = NULL; + PyObject *__pyx_v_tup_id = NULL; + PyObject *__pyx_v_aid = NULL; + CYTHON_UNUSED PyObject *__pyx_v__ = NULL; + PyObject *__pyx_v_sentiment_polarity = NULL; + PyObject *__pyx_v_total_sentiment = NULL; + PyObject *__pyx_v_avg_sentiment = NULL; + PyObject *__pyx_v_Y = NULL; + PyObject *__pyx_7genexpr__pyx_v_tup_id = NULL; + PyObject *__pyx_7genexpr__pyx_v_tup = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + int __pyx_t_6; + int __pyx_t_7; + PyObject *__pyx_t_8 = NULL; + int __pyx_t_9; + Py_ssize_t __pyx_t_10; + Py_ssize_t __pyx_t_11; + int __pyx_t_12; + PyObject *__pyx_t_13 = NULL; + Py_ssize_t __pyx_t_14; + PyObject *(*__pyx_t_15)(PyObject *); + PyObject *__pyx_t_16 = NULL; + PyObject *__pyx_t_17 = NULL; + PyObject *__pyx_t_18 = NULL; + PyObject *(*__pyx_t_19)(PyObject *); + int __pyx_t_20; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_build_item_quality_matrix", 0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":169 + * + * def _build_item_quality_matrix(self, data_set, sentiment): + * start_time = time() # <<<<<<<<<<<<<< + * quality_scores = [] + * map_iid = [] + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_time); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 169, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 169, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_start_time = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":170 + * def _build_item_quality_matrix(self, data_set, sentiment): + * start_time = time() + * quality_scores = [] # <<<<<<<<<<<<<< + * map_iid = [] + * map_aspect_id = [] + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 170, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_quality_scores = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":171 + * start_time = time() + * quality_scores = [] + * map_iid = [] # <<<<<<<<<<<<<< + * map_aspect_id = [] + * for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 171, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_map_iid = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":172 + * quality_scores = [] + * map_iid = [] + * map_aspect_id = [] # <<<<<<<<<<<<<< + * for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): + * if self.train_set.is_unk_item(iid): + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 172, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_map_aspect_id = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":173 + * map_iid = [] + * map_aspect_id = [] + * for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): # <<<<<<<<<<<<<< + * if self.train_set.is_unk_item(iid): + * continue + */ + __pyx_t_4 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_item_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 173, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (unlikely(__pyx_t_2 == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "items"); + __PYX_ERR(0, 173, __pyx_L1_error) + } + __pyx_t_3 = __Pyx_dict_iterator(__pyx_t_2, 0, __pyx_n_s_items, (&__pyx_t_5), (&__pyx_t_6)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 173, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_XDECREF(__pyx_t_1); + __pyx_t_1 = __pyx_t_3; + __pyx_t_3 = 0; + while (1) { + __pyx_t_7 = __Pyx_dict_iter_next(__pyx_t_1, __pyx_t_5, &__pyx_t_4, &__pyx_t_3, &__pyx_t_2, NULL, __pyx_t_6); + if (unlikely(__pyx_t_7 == 0)) break; + if (unlikely(__pyx_t_7 == -1)) __PYX_ERR(0, 173, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GOTREF(__pyx_t_2); + __Pyx_XDECREF_SET(__pyx_v_iid, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_XDECREF_SET(__pyx_v_sentiment_tup_ids_by_user, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":174 + * map_aspect_id = [] + * for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): + * if self.train_set.is_unk_item(iid): # <<<<<<<<<<<<<< + * continue + * item_aspects = [tup[0] + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 174, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_is_unk_item); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 174, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_3, __pyx_v_iid) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_iid); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 174, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 174, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (__pyx_t_9) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":175 + * for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): + * if self.train_set.is_unk_item(iid): + * continue # <<<<<<<<<<<<<< + * item_aspects = [tup[0] + * for tup_id in sentiment_tup_ids_by_user.values() + */ + goto __pyx_L3_continue; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":174 + * map_aspect_id = [] + * for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): + * if self.train_set.is_unk_item(iid): # <<<<<<<<<<<<<< + * continue + * item_aspects = [tup[0] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":176 + * if self.train_set.is_unk_item(iid): + * continue + * item_aspects = [tup[0] # <<<<<<<<<<<<<< + * for tup_id in sentiment_tup_ids_by_user.values() + * for tup in sentiment.sentiment[tup_id]] + */ + { /* enter inner scope */ + __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 176, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_2); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":177 + * continue + * item_aspects = [tup[0] + * for tup_id in sentiment_tup_ids_by_user.values() # <<<<<<<<<<<<<< + * for tup in sentiment.sentiment[tup_id]] + * item_aspect_count = Counter(item_aspects) + */ + __pyx_t_10 = 0; + if (unlikely(__pyx_v_sentiment_tup_ids_by_user == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "values"); + __PYX_ERR(0, 177, __pyx_L8_error) + } + __pyx_t_3 = __Pyx_dict_iterator(__pyx_v_sentiment_tup_ids_by_user, 0, __pyx_n_s_values, (&__pyx_t_11), (&__pyx_t_7)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 177, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_8); + __pyx_t_8 = __pyx_t_3; + __pyx_t_3 = 0; + while (1) { + __pyx_t_12 = __Pyx_dict_iter_next(__pyx_t_8, __pyx_t_11, &__pyx_t_10, NULL, &__pyx_t_3, NULL, __pyx_t_7); + if (unlikely(__pyx_t_12 == 0)) break; + if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 177, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_XDECREF_SET(__pyx_7genexpr__pyx_v_tup_id, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":178 + * item_aspects = [tup[0] + * for tup_id in sentiment_tup_ids_by_user.values() + * for tup in sentiment.sentiment[tup_id]] # <<<<<<<<<<<<<< + * item_aspect_count = Counter(item_aspects) + * total_sentiment_by_aspect = OrderedDict() + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 178, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_13 = __Pyx_PyObject_GetItem(__pyx_t_3, __pyx_7genexpr__pyx_v_tup_id); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 178, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (likely(PyList_CheckExact(__pyx_t_13)) || PyTuple_CheckExact(__pyx_t_13)) { + __pyx_t_3 = __pyx_t_13; __Pyx_INCREF(__pyx_t_3); __pyx_t_14 = 0; + __pyx_t_15 = NULL; + } else { + __pyx_t_14 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_t_13); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 178, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_15 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 178, __pyx_L8_error) + } + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + for (;;) { + if (likely(!__pyx_t_15)) { + if (likely(PyList_CheckExact(__pyx_t_3))) { + if (__pyx_t_14 >= PyList_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_13 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_14); __Pyx_INCREF(__pyx_t_13); __pyx_t_14++; if (unlikely(0 < 0)) __PYX_ERR(0, 178, __pyx_L8_error) + #else + __pyx_t_13 = PySequence_ITEM(__pyx_t_3, __pyx_t_14); __pyx_t_14++; if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 178, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_13); + #endif + } else { + if (__pyx_t_14 >= PyTuple_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_13 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_14); __Pyx_INCREF(__pyx_t_13); __pyx_t_14++; if (unlikely(0 < 0)) __PYX_ERR(0, 178, __pyx_L8_error) + #else + __pyx_t_13 = PySequence_ITEM(__pyx_t_3, __pyx_t_14); __pyx_t_14++; if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 178, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_13); + #endif + } + } else { + __pyx_t_13 = __pyx_t_15(__pyx_t_3); + if (unlikely(!__pyx_t_13)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 178, __pyx_L8_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_13); + } + __Pyx_XDECREF_SET(__pyx_7genexpr__pyx_v_tup, __pyx_t_13); + __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":176 + * if self.train_set.is_unk_item(iid): + * continue + * item_aspects = [tup[0] # <<<<<<<<<<<<<< + * for tup_id in sentiment_tup_ids_by_user.values() + * for tup in sentiment.sentiment[tup_id]] + */ + __pyx_t_13 = __Pyx_GetItemInt(__pyx_7genexpr__pyx_v_tup, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 176, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_13); + if (unlikely(__Pyx_ListComp_Append(__pyx_t_2, (PyObject*)__pyx_t_13))) __PYX_ERR(0, 176, __pyx_L8_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":178 + * item_aspects = [tup[0] + * for tup_id in sentiment_tup_ids_by_user.values() + * for tup in sentiment.sentiment[tup_id]] # <<<<<<<<<<<<<< + * item_aspect_count = Counter(item_aspects) + * total_sentiment_by_aspect = OrderedDict() + */ + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_XDECREF(__pyx_7genexpr__pyx_v_tup); __pyx_7genexpr__pyx_v_tup = 0; + __Pyx_XDECREF(__pyx_7genexpr__pyx_v_tup_id); __pyx_7genexpr__pyx_v_tup_id = 0; + goto __pyx_L13_exit_scope; + __pyx_L8_error:; + __Pyx_XDECREF(__pyx_7genexpr__pyx_v_tup); __pyx_7genexpr__pyx_v_tup = 0; + __Pyx_XDECREF(__pyx_7genexpr__pyx_v_tup_id); __pyx_7genexpr__pyx_v_tup_id = 0; + goto __pyx_L1_error; + __pyx_L13_exit_scope:; + } /* exit inner scope */ + __Pyx_XDECREF_SET(__pyx_v_item_aspects, ((PyObject*)__pyx_t_2)); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":179 + * for tup_id in sentiment_tup_ids_by_user.values() + * for tup in sentiment.sentiment[tup_id]] + * item_aspect_count = Counter(item_aspects) # <<<<<<<<<<<<<< + * total_sentiment_by_aspect = OrderedDict() + * for tup_id in sentiment_tup_ids_by_user.values(): + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_Counter); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 179, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_3, __pyx_v_item_aspects) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_item_aspects); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 179, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_XDECREF_SET(__pyx_v_item_aspect_count, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":180 + * for tup in sentiment.sentiment[tup_id]] + * item_aspect_count = Counter(item_aspects) + * total_sentiment_by_aspect = OrderedDict() # <<<<<<<<<<<<<< + * for tup_id in sentiment_tup_ids_by_user.values(): + * for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 180, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 180, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_XDECREF_SET(__pyx_v_total_sentiment_by_aspect, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":181 + * item_aspect_count = Counter(item_aspects) + * total_sentiment_by_aspect = OrderedDict() + * for tup_id in sentiment_tup_ids_by_user.values(): # <<<<<<<<<<<<<< + * for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: + * total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity + */ + __pyx_t_11 = 0; + if (unlikely(__pyx_v_sentiment_tup_ids_by_user == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "values"); + __PYX_ERR(0, 181, __pyx_L1_error) + } + __pyx_t_8 = __Pyx_dict_iterator(__pyx_v_sentiment_tup_ids_by_user, 0, __pyx_n_s_values, (&__pyx_t_10), (&__pyx_t_7)); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 181, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_2); + __pyx_t_2 = __pyx_t_8; + __pyx_t_8 = 0; + while (1) { + __pyx_t_12 = __Pyx_dict_iter_next(__pyx_t_2, __pyx_t_10, &__pyx_t_11, NULL, &__pyx_t_8, NULL, __pyx_t_7); + if (unlikely(__pyx_t_12 == 0)) break; + if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 181, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_XDECREF_SET(__pyx_v_tup_id, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":182 + * total_sentiment_by_aspect = OrderedDict() + * for tup_id in sentiment_tup_ids_by_user.values(): + * for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: # <<<<<<<<<<<<<< + * total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity + * for aid, total_sentiment in total_sentiment_by_aspect.items(): + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 182, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetItem(__pyx_t_8, __pyx_v_tup_id); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 182, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (likely(PyList_CheckExact(__pyx_t_3)) || PyTuple_CheckExact(__pyx_t_3)) { + __pyx_t_8 = __pyx_t_3; __Pyx_INCREF(__pyx_t_8); __pyx_t_14 = 0; + __pyx_t_15 = NULL; + } else { + __pyx_t_14 = -1; __pyx_t_8 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 182, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_15 = Py_TYPE(__pyx_t_8)->tp_iternext; if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 182, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + for (;;) { + if (likely(!__pyx_t_15)) { + if (likely(PyList_CheckExact(__pyx_t_8))) { + if (__pyx_t_14 >= PyList_GET_SIZE(__pyx_t_8)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyList_GET_ITEM(__pyx_t_8, __pyx_t_14); __Pyx_INCREF(__pyx_t_3); __pyx_t_14++; if (unlikely(0 < 0)) __PYX_ERR(0, 182, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_8, __pyx_t_14); __pyx_t_14++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 182, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + } else { + if (__pyx_t_14 >= PyTuple_GET_SIZE(__pyx_t_8)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_8, __pyx_t_14); __Pyx_INCREF(__pyx_t_3); __pyx_t_14++; if (unlikely(0 < 0)) __PYX_ERR(0, 182, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_8, __pyx_t_14); __pyx_t_14++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 182, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + } + } else { + __pyx_t_3 = __pyx_t_15(__pyx_t_8); + if (unlikely(!__pyx_t_3)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 182, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_3); + } + if ((likely(PyTuple_CheckExact(__pyx_t_3))) || (PyList_CheckExact(__pyx_t_3))) { + PyObject* sequence = __pyx_t_3; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 3)) { + if (size > 3) __Pyx_RaiseTooManyValuesError(3); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 182, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_13 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_16 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_17 = PyTuple_GET_ITEM(sequence, 2); + } else { + __pyx_t_13 = PyList_GET_ITEM(sequence, 0); + __pyx_t_16 = PyList_GET_ITEM(sequence, 1); + __pyx_t_17 = PyList_GET_ITEM(sequence, 2); + } + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(__pyx_t_16); + __Pyx_INCREF(__pyx_t_17); + #else + __pyx_t_13 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 182, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_16 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 182, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_16); + __pyx_t_17 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 182, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + #endif + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_18 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 182, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_18); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_19 = Py_TYPE(__pyx_t_18)->tp_iternext; + index = 0; __pyx_t_13 = __pyx_t_19(__pyx_t_18); if (unlikely(!__pyx_t_13)) goto __pyx_L18_unpacking_failed; + __Pyx_GOTREF(__pyx_t_13); + index = 1; __pyx_t_16 = __pyx_t_19(__pyx_t_18); if (unlikely(!__pyx_t_16)) goto __pyx_L18_unpacking_failed; + __Pyx_GOTREF(__pyx_t_16); + index = 2; __pyx_t_17 = __pyx_t_19(__pyx_t_18); if (unlikely(!__pyx_t_17)) goto __pyx_L18_unpacking_failed; + __Pyx_GOTREF(__pyx_t_17); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_19(__pyx_t_18), 3) < 0) __PYX_ERR(0, 182, __pyx_L1_error) + __pyx_t_19 = NULL; + __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0; + goto __pyx_L19_unpacking_done; + __pyx_L18_unpacking_failed:; + __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0; + __pyx_t_19 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 182, __pyx_L1_error) + __pyx_L19_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_aid, __pyx_t_13); + __pyx_t_13 = 0; + __Pyx_XDECREF_SET(__pyx_v__, __pyx_t_16); + __pyx_t_16 = 0; + __Pyx_XDECREF_SET(__pyx_v_sentiment_polarity, __pyx_t_17); + __pyx_t_17 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":183 + * for tup_id in sentiment_tup_ids_by_user.values(): + * for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: + * total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity # <<<<<<<<<<<<<< + * for aid, total_sentiment in total_sentiment_by_aspect.items(): + * map_iid.append(iid) + */ + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_v_total_sentiment_by_aspect, __pyx_n_s_get); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 183, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_16 = NULL; + __pyx_t_12 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_17))) { + __pyx_t_16 = PyMethod_GET_SELF(__pyx_t_17); + if (likely(__pyx_t_16)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_17); + __Pyx_INCREF(__pyx_t_16); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_17, function); + __pyx_t_12 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_17)) { + PyObject *__pyx_temp[3] = {__pyx_t_16, __pyx_v_aid, __pyx_int_0}; + __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_17, __pyx_temp+1-__pyx_t_12, 2+__pyx_t_12); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 183, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_16); __pyx_t_16 = 0; + __Pyx_GOTREF(__pyx_t_3); + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_17)) { + PyObject *__pyx_temp[3] = {__pyx_t_16, __pyx_v_aid, __pyx_int_0}; + __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_17, __pyx_temp+1-__pyx_t_12, 2+__pyx_t_12); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 183, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_16); __pyx_t_16 = 0; + __Pyx_GOTREF(__pyx_t_3); + } else + #endif + { + __pyx_t_13 = PyTuple_New(2+__pyx_t_12); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 183, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + if (__pyx_t_16) { + __Pyx_GIVEREF(__pyx_t_16); PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_t_16); __pyx_t_16 = NULL; + } + __Pyx_INCREF(__pyx_v_aid); + __Pyx_GIVEREF(__pyx_v_aid); + PyTuple_SET_ITEM(__pyx_t_13, 0+__pyx_t_12, __pyx_v_aid); + __Pyx_INCREF(__pyx_int_0); + __Pyx_GIVEREF(__pyx_int_0); + PyTuple_SET_ITEM(__pyx_t_13, 1+__pyx_t_12, __pyx_int_0); + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_17, __pyx_t_13, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 183, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + } + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_17 = PyNumber_Add(__pyx_t_3, __pyx_v_sentiment_polarity); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 183, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(PyObject_SetItem(__pyx_v_total_sentiment_by_aspect, __pyx_v_aid, __pyx_t_17) < 0)) __PYX_ERR(0, 183, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":182 + * total_sentiment_by_aspect = OrderedDict() + * for tup_id in sentiment_tup_ids_by_user.values(): + * for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: # <<<<<<<<<<<<<< + * total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity + * for aid, total_sentiment in total_sentiment_by_aspect.items(): + */ + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":184 + * for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: + * total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity + * for aid, total_sentiment in total_sentiment_by_aspect.items(): # <<<<<<<<<<<<<< + * map_iid.append(iid) + * map_aspect_id.append(aid) + */ + __pyx_t_10 = 0; + if (unlikely(__pyx_v_total_sentiment_by_aspect == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "items"); + __PYX_ERR(0, 184, __pyx_L1_error) + } + __pyx_t_8 = __Pyx_dict_iterator(__pyx_v_total_sentiment_by_aspect, 0, __pyx_n_s_items, (&__pyx_t_11), (&__pyx_t_7)); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 184, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_2); + __pyx_t_2 = __pyx_t_8; + __pyx_t_8 = 0; + while (1) { + __pyx_t_12 = __Pyx_dict_iter_next(__pyx_t_2, __pyx_t_11, &__pyx_t_10, &__pyx_t_8, &__pyx_t_17, NULL, __pyx_t_7); + if (unlikely(__pyx_t_12 == 0)) break; + if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 184, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_GOTREF(__pyx_t_17); + __Pyx_XDECREF_SET(__pyx_v_aid, __pyx_t_8); + __pyx_t_8 = 0; + __Pyx_XDECREF_SET(__pyx_v_total_sentiment, __pyx_t_17); + __pyx_t_17 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":185 + * total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity + * for aid, total_sentiment in total_sentiment_by_aspect.items(): + * map_iid.append(iid) # <<<<<<<<<<<<<< + * map_aspect_id.append(aid) + * if self.use_item_aspect_popularity: + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_map_iid, __pyx_v_iid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 185, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":186 + * for aid, total_sentiment in total_sentiment_by_aspect.items(): + * map_iid.append(iid) + * map_aspect_id.append(aid) # <<<<<<<<<<<<<< + * if self.use_item_aspect_popularity: + * quality_scores.append(self._compute_quality_score(total_sentiment)) + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_map_aspect_id, __pyx_v_aid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 186, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":187 + * map_iid.append(iid) + * map_aspect_id.append(aid) + * if self.use_item_aspect_popularity: # <<<<<<<<<<<<<< + * quality_scores.append(self._compute_quality_score(total_sentiment)) + * else: + */ + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_use_item_aspect_popularity); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 187, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_17); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 187, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + if (__pyx_t_9) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":188 + * map_aspect_id.append(aid) + * if self.use_item_aspect_popularity: + * quality_scores.append(self._compute_quality_score(total_sentiment)) # <<<<<<<<<<<<<< + * else: + * avg_sentiment = total_sentiment / item_aspect_count[aid] + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_compute_quality_score); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 188, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_17 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_3, __pyx_v_total_sentiment) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_total_sentiment); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 188, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_quality_scores, __pyx_t_17); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 188, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":187 + * map_iid.append(iid) + * map_aspect_id.append(aid) + * if self.use_item_aspect_popularity: # <<<<<<<<<<<<<< + * quality_scores.append(self._compute_quality_score(total_sentiment)) + * else: + */ + goto __pyx_L22; + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":190 + * quality_scores.append(self._compute_quality_score(total_sentiment)) + * else: + * avg_sentiment = total_sentiment / item_aspect_count[aid] # <<<<<<<<<<<<<< + * quality_scores.append(self._compute_quality_score(avg_sentiment)) + * quality_scores = np.asarray(quality_scores, dtype=np.float32).flatten() + */ + /*else*/ { + __pyx_t_17 = __Pyx_PyObject_GetItem(__pyx_v_item_aspect_count, __pyx_v_aid); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 190, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_8 = __Pyx_PyNumber_Divide(__pyx_v_total_sentiment, __pyx_t_17); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 190, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_XDECREF_SET(__pyx_v_avg_sentiment, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":191 + * else: + * avg_sentiment = total_sentiment / item_aspect_count[aid] + * quality_scores.append(self._compute_quality_score(avg_sentiment)) # <<<<<<<<<<<<<< + * quality_scores = np.asarray(quality_scores, dtype=np.float32).flatten() + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + */ + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_compute_quality_score); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 191, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_17))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_17); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_17); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_17, function); + } + } + __pyx_t_8 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_17, __pyx_t_3, __pyx_v_avg_sentiment) : __Pyx_PyObject_CallOneArg(__pyx_t_17, __pyx_v_avg_sentiment); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 191, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_quality_scores, __pyx_t_8); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 191, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + } + __pyx_L22:; + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_L3_continue:; + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":192 + * avg_sentiment = total_sentiment / item_aspect_count[aid] + * quality_scores.append(self._compute_quality_score(avg_sentiment)) + * quality_scores = np.asarray(quality_scores, dtype=np.float32).flatten() # <<<<<<<<<<<<<< + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_asarray); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_quality_scores); + __Pyx_GIVEREF(__pyx_v_quality_scores); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_quality_scores); + __pyx_t_17 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_float32); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_17, __pyx_n_s_dtype, __pyx_t_13) < 0) __PYX_ERR(0, 192, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_2, __pyx_t_17); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_flatten); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_17))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_17); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_17); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_17, function); + } + } + __pyx_t_1 = (__pyx_t_13) ? __Pyx_PyObject_CallOneArg(__pyx_t_17, __pyx_t_13) : __Pyx_PyObject_CallNoArg(__pyx_t_17); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_DECREF_SET(__pyx_v_quality_scores, __pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":193 + * quality_scores.append(self._compute_quality_score(avg_sentiment)) + * quality_scores = np.asarray(quality_scores, dtype=np.float32).flatten() + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + * Y = sp.csr_matrix((quality_scores, (map_iid, map_aspect_id)), + */ + __Pyx_GetModuleGlobalName(__pyx_t_17, __pyx_n_s_np); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 193, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_17, __pyx_n_s_asarray); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 193, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_17 = PyTuple_New(1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 193, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_INCREF(__pyx_v_map_iid); + __Pyx_GIVEREF(__pyx_v_map_iid); + PyTuple_SET_ITEM(__pyx_t_17, 0, __pyx_v_map_iid); + __pyx_t_2 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 193, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 193, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_int32); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 193, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 193, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_13, __pyx_t_17, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 193, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_flatten); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 193, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 193, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF_SET(__pyx_v_map_iid, __pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":194 + * quality_scores = np.asarray(quality_scores, dtype=np.float32).flatten() + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * Y = sp.csr_matrix((quality_scores, (map_iid, map_aspect_id)), + * shape=(self.train_set.num_items, sentiment.num_aspects)) + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 194, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_asarray); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 194, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 194, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_map_aspect_id); + __Pyx_GIVEREF(__pyx_v_map_aspect_id); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_map_aspect_id); + __pyx_t_17 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 194, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 194, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_int32); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 194, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + if (PyDict_SetItem(__pyx_t_17, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 194, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_2, __pyx_t_17); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 194, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_flatten); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 194, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_17))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_17); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_17); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_17, function); + } + } + __pyx_t_1 = (__pyx_t_8) ? __Pyx_PyObject_CallOneArg(__pyx_t_17, __pyx_t_8) : __Pyx_PyObject_CallNoArg(__pyx_t_17); + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 194, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_DECREF_SET(__pyx_v_map_aspect_id, __pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":195 + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + * Y = sp.csr_matrix((quality_scores, (map_iid, map_aspect_id)), # <<<<<<<<<<<<<< + * shape=(self.train_set.num_items, sentiment.num_aspects)) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_sp); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 195, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_csr_matrix); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 195, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 195, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_map_iid); + __Pyx_GIVEREF(__pyx_v_map_iid); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_map_iid); + __Pyx_INCREF(__pyx_v_map_aspect_id); + __Pyx_GIVEREF(__pyx_v_map_aspect_id); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_map_aspect_id); + __pyx_t_8 = PyTuple_New(2); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 195, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_INCREF(__pyx_v_quality_scores); + __Pyx_GIVEREF(__pyx_v_quality_scores); + PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_v_quality_scores); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_8, 1, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 195, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":196 + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + * Y = sp.csr_matrix((quality_scores, (map_iid, map_aspect_id)), + * shape=(self.train_set.num_items, sentiment.num_aspects)) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_t_8 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 196, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 196, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 196, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 196, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_13 = PyTuple_New(2); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 196, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_13, 1, __pyx_t_2); + __pyx_t_3 = 0; + __pyx_t_2 = 0; + if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_shape, __pyx_t_13) < 0) __PYX_ERR(0, 196, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":195 + * map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + * map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + * Y = sp.csr_matrix((quality_scores, (map_iid, map_aspect_id)), # <<<<<<<<<<<<<< + * shape=(self.train_set.num_items, sentiment.num_aspects)) + * + */ + __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_17, __pyx_t_1, __pyx_t_8); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 195, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_v_Y = __pyx_t_13; + __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":198 + * shape=(self.train_set.num_items, sentiment.num_aspects)) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building item aspect quality matrix completed in %d s' % (time() - start_time)) + * + */ + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 198, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_13); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 198, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + if (__pyx_t_9) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":199 + * + * if self.verbose: + * print('Building item aspect quality matrix completed in %d s' % (time() - start_time)) # <<<<<<<<<<<<<< + * + * return Y + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_time); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 199, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_13 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 199, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = PyNumber_Subtract(__pyx_t_13, __pyx_v_start_time); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 199, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_Building_item_aspect_quality_mat, __pyx_t_8); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 199, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_13); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 199, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":198 + * shape=(self.train_set.num_items, sentiment.num_aspects)) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building item aspect quality matrix completed in %d s' % (time() - start_time)) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":201 + * print('Building item aspect quality matrix completed in %d s' % (time() - start_time)) + * + * return Y # <<<<<<<<<<<<<< + * + * def _build_data(self, data_set): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_Y); + __pyx_r = __pyx_v_Y; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":168 + * + * + * def _build_item_quality_matrix(self, data_set, sentiment): # <<<<<<<<<<<<<< + * start_time = time() + * quality_scores = [] + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_13); + __Pyx_XDECREF(__pyx_t_16); + __Pyx_XDECREF(__pyx_t_17); + __Pyx_XDECREF(__pyx_t_18); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._build_item_quality_matrix", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_start_time); + __Pyx_XDECREF(__pyx_v_quality_scores); + __Pyx_XDECREF(__pyx_v_map_iid); + __Pyx_XDECREF(__pyx_v_map_aspect_id); + __Pyx_XDECREF(__pyx_v_iid); + __Pyx_XDECREF(__pyx_v_sentiment_tup_ids_by_user); + __Pyx_XDECREF(__pyx_v_item_aspects); + __Pyx_XDECREF(__pyx_v_item_aspect_count); + __Pyx_XDECREF(__pyx_v_total_sentiment_by_aspect); + __Pyx_XDECREF(__pyx_v_tup_id); + __Pyx_XDECREF(__pyx_v_aid); + __Pyx_XDECREF(__pyx_v__); + __Pyx_XDECREF(__pyx_v_sentiment_polarity); + __Pyx_XDECREF(__pyx_v_total_sentiment); + __Pyx_XDECREF(__pyx_v_avg_sentiment); + __Pyx_XDECREF(__pyx_v_Y); + __Pyx_XDECREF(__pyx_7genexpr__pyx_v_tup_id); + __Pyx_XDECREF(__pyx_7genexpr__pyx_v_tup); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_sub.pyx":203 + * return Y + * + * def _build_data(self, data_set): # <<<<<<<<<<<<<< + * import time + * from tqdm import tqdm + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_5_build_data(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_5_build_data = {"_build_data", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_5_build_data, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_5_build_data(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_data_set = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_build_data (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_data_set,0}; + PyObject* values[2] = {0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_data_set)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_data", 1, 2, 2, 1); __PYX_ERR(0, 203, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_build_data") < 0)) __PYX_ERR(0, 203, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 2) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + } + __pyx_v_self = values[0]; + __pyx_v_data_set = values[1]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_build_data", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 203, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._build_data", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_4_build_data(__pyx_self, __pyx_v_self, __pyx_v_data_set); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_4_build_data(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_data_set) { + PyObject *__pyx_v_time = NULL; + PyObject *__pyx_v_tqdm = NULL; + PyObject *__pyx_v_start_time = NULL; + PyObject *__pyx_v_sentiment = NULL; + PyObject *__pyx_v_u_indices = NULL; + PyObject *__pyx_v_i_indices = NULL; + PyObject *__pyx_v_r_values = NULL; + PyObject *__pyx_v_keys = NULL; + struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict = 0; + PyObject *__pyx_v_rating_matrix = NULL; + PyObject *__pyx_v_user_item_aspect = NULL; + PyObject *__pyx_v_user_aspect_opinion = NULL; + PyObject *__pyx_v_item_aspect_opinion = NULL; + PyObject *__pyx_v_u_idx = NULL; + PyObject *__pyx_v_sentiment_tup_ids_by_item = NULL; + PyObject *__pyx_v_i_idx = NULL; + PyObject *__pyx_v_tup_idx = NULL; + PyObject *__pyx_v_a_idx = NULL; + PyObject *__pyx_v_o_idx = NULL; + PyObject *__pyx_v_polarity = NULL; + PyObject *__pyx_v_key = NULL; + PyObject *__pyx_v_Y = NULL; + PyObject *__pyx_v_user_indices = NULL; + PyObject *__pyx_v_earlier_indices = NULL; + PyObject *__pyx_v_later_indices = NULL; + PyObject *__pyx_v_aspect_indices = NULL; + PyObject *__pyx_v_pair_freq = NULL; + PyObject *__pyx_v_total_time = NULL; + PyObject *__pyx_8genexpr1__pyx_v_u = NULL; + PyObject *__pyx_8genexpr1__pyx_v_i = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *(*__pyx_t_7)(PyObject *); + Py_ssize_t __pyx_t_8; + PyObject *(*__pyx_t_9)(PyObject *); + PyObject *__pyx_t_10 = NULL; + PyObject *__pyx_t_11 = NULL; + int __pyx_t_12; + int __pyx_t_13; + Py_ssize_t __pyx_t_14; + Py_ssize_t __pyx_t_15; + Py_ssize_t __pyx_t_16; + PyObject *(*__pyx_t_17)(PyObject *); + PyObject *__pyx_t_18 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_build_data", 0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":204 + * + * def _build_data(self, data_set): + * import time # <<<<<<<<<<<<<< + * from tqdm import tqdm + * + */ + __pyx_t_1 = __Pyx_Import(__pyx_n_s_time, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 204, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_time = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":205 + * def _build_data(self, data_set): + * import time + * from tqdm import tqdm # <<<<<<<<<<<<<< + * + * start_time = time.time() + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 205, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s_tqdm); + __Pyx_GIVEREF(__pyx_n_s_tqdm); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_tqdm); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_tqdm, __pyx_t_1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 205, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_tqdm); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 205, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_t_1); + __pyx_v_tqdm = __pyx_t_1; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":207 + * from tqdm import tqdm + * + * start_time = time.time() # <<<<<<<<<<<<<< + * if self.verbose: + * print("Building data started!") + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_time, __pyx_n_s_time); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 207, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 207, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_start_time = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":208 + * + * start_time = time.time() + * if self.verbose: # <<<<<<<<<<<<<< + * print("Building data started!") + * + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 208, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 208, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":209 + * start_time = time.time() + * if self.verbose: + * print("Building data started!") # <<<<<<<<<<<<<< + * + * sentiment = self.train_set.sentiment + */ + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_tuple_, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 209, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":208 + * + * start_time = time.time() + * if self.verbose: # <<<<<<<<<<<<<< + * print("Building data started!") + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":211 + * print("Building data started!") + * + * sentiment = self.train_set.sentiment # <<<<<<<<<<<<<< + * (u_indices, i_indices, r_values) = data_set.uir_tuple + * keys = np.array([get_key(u, i) for u, i in zip(u_indices, i_indices)], dtype=np.intp) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 211, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 211, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_sentiment = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":212 + * + * sentiment = self.train_set.sentiment + * (u_indices, i_indices, r_values) = data_set.uir_tuple # <<<<<<<<<<<<<< + * keys = np.array([get_key(u, i) for u, i in zip(u_indices, i_indices)], dtype=np.intp) + * cdef IntFloatDict rating_dict = IntFloatDict(keys, np.array(r_values, dtype=np.float64)) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_data_set, __pyx_n_s_uir_tuple); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 212, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) { + PyObject* sequence = __pyx_t_1; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 3)) { + if (size > 3) __Pyx_RaiseTooManyValuesError(3); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 212, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_2 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_5 = PyTuple_GET_ITEM(sequence, 2); + } else { + __pyx_t_2 = PyList_GET_ITEM(sequence, 0); + __pyx_t_3 = PyList_GET_ITEM(sequence, 1); + __pyx_t_5 = PyList_GET_ITEM(sequence, 2); + } + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(__pyx_t_5); + #else + __pyx_t_2 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 212, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 212, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 212, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + #endif + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_6 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 212, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_7 = Py_TYPE(__pyx_t_6)->tp_iternext; + index = 0; __pyx_t_2 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_2)) goto __pyx_L4_unpacking_failed; + __Pyx_GOTREF(__pyx_t_2); + index = 1; __pyx_t_3 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_3)) goto __pyx_L4_unpacking_failed; + __Pyx_GOTREF(__pyx_t_3); + index = 2; __pyx_t_5 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_5)) goto __pyx_L4_unpacking_failed; + __Pyx_GOTREF(__pyx_t_5); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_6), 3) < 0) __PYX_ERR(0, 212, __pyx_L1_error) + __pyx_t_7 = NULL; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + goto __pyx_L5_unpacking_done; + __pyx_L4_unpacking_failed:; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_7 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 212, __pyx_L1_error) + __pyx_L5_unpacking_done:; + } + __pyx_v_u_indices = __pyx_t_2; + __pyx_t_2 = 0; + __pyx_v_i_indices = __pyx_t_3; + __pyx_t_3 = 0; + __pyx_v_r_values = __pyx_t_5; + __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":213 + * sentiment = self.train_set.sentiment + * (u_indices, i_indices, r_values) = data_set.uir_tuple + * keys = np.array([get_key(u, i) for u, i in zip(u_indices, i_indices)], dtype=np.intp) # <<<<<<<<<<<<<< + * cdef IntFloatDict rating_dict = IntFloatDict(keys, np.array(r_values, dtype=np.float64)) + * rating_matrix = sp.csr_matrix( + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 213, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_array); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 213, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + { /* enter inner scope */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 213, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 213, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_u_indices); + __Pyx_GIVEREF(__pyx_v_u_indices); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_u_indices); + __Pyx_INCREF(__pyx_v_i_indices); + __Pyx_GIVEREF(__pyx_v_i_indices); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_i_indices); + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_zip, __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 213, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (likely(PyList_CheckExact(__pyx_t_2)) || PyTuple_CheckExact(__pyx_t_2)) { + __pyx_t_3 = __pyx_t_2; __Pyx_INCREF(__pyx_t_3); __pyx_t_8 = 0; + __pyx_t_9 = NULL; + } else { + __pyx_t_8 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 213, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_9 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 213, __pyx_L8_error) + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + for (;;) { + if (likely(!__pyx_t_9)) { + if (likely(PyList_CheckExact(__pyx_t_3))) { + if (__pyx_t_8 >= PyList_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_2 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_8); __Pyx_INCREF(__pyx_t_2); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 213, __pyx_L8_error) + #else + __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 213, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_2); + #endif + } else { + if (__pyx_t_8 >= PyTuple_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_8); __Pyx_INCREF(__pyx_t_2); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 213, __pyx_L8_error) + #else + __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 213, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_2); + #endif + } + } else { + __pyx_t_2 = __pyx_t_9(__pyx_t_3); + if (unlikely(!__pyx_t_2)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 213, __pyx_L8_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_2); + } + if ((likely(PyTuple_CheckExact(__pyx_t_2))) || (PyList_CheckExact(__pyx_t_2))) { + PyObject* sequence = __pyx_t_2; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 213, __pyx_L8_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_6 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_10 = PyTuple_GET_ITEM(sequence, 1); + } else { + __pyx_t_6 = PyList_GET_ITEM(sequence, 0); + __pyx_t_10 = PyList_GET_ITEM(sequence, 1); + } + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(__pyx_t_10); + #else + __pyx_t_6 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 213, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_10 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 213, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_10); + #endif + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_11 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 213, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_7 = Py_TYPE(__pyx_t_11)->tp_iternext; + index = 0; __pyx_t_6 = __pyx_t_7(__pyx_t_11); if (unlikely(!__pyx_t_6)) goto __pyx_L11_unpacking_failed; + __Pyx_GOTREF(__pyx_t_6); + index = 1; __pyx_t_10 = __pyx_t_7(__pyx_t_11); if (unlikely(!__pyx_t_10)) goto __pyx_L11_unpacking_failed; + __Pyx_GOTREF(__pyx_t_10); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_11), 2) < 0) __PYX_ERR(0, 213, __pyx_L8_error) + __pyx_t_7 = NULL; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + goto __pyx_L12_unpacking_done; + __pyx_L11_unpacking_failed:; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_7 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 213, __pyx_L8_error) + __pyx_L12_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_8genexpr1__pyx_v_u, __pyx_t_6); + __pyx_t_6 = 0; + __Pyx_XDECREF_SET(__pyx_8genexpr1__pyx_v_i, __pyx_t_10); + __pyx_t_10 = 0; + __pyx_t_12 = __Pyx_PyInt_As_int(__pyx_8genexpr1__pyx_v_u); if (unlikely((__pyx_t_12 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 213, __pyx_L8_error) + __pyx_t_13 = __Pyx_PyInt_As_int(__pyx_8genexpr1__pyx_v_i); if (unlikely((__pyx_t_13 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 213, __pyx_L8_error) + __pyx_t_2 = __Pyx_PyInt_From_int(__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_t_12, __pyx_t_13)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 213, __pyx_L8_error) + __Pyx_GOTREF(__pyx_t_2); + if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_2))) __PYX_ERR(0, 213, __pyx_L8_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_XDECREF(__pyx_8genexpr1__pyx_v_i); __pyx_8genexpr1__pyx_v_i = 0; + __Pyx_XDECREF(__pyx_8genexpr1__pyx_v_u); __pyx_8genexpr1__pyx_v_u = 0; + goto __pyx_L13_exit_scope; + __pyx_L8_error:; + __Pyx_XDECREF(__pyx_8genexpr1__pyx_v_i); __pyx_8genexpr1__pyx_v_i = 0; + __Pyx_XDECREF(__pyx_8genexpr1__pyx_v_u); __pyx_8genexpr1__pyx_v_u = 0; + goto __pyx_L1_error; + __pyx_L13_exit_scope:; + } /* exit inner scope */ + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 213, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 213, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 213, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_intp); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 213, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_10) < 0) __PYX_ERR(0, 213, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_3, __pyx_t_1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 213, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_keys = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":214 + * (u_indices, i_indices, r_values) = data_set.uir_tuple + * keys = np.array([get_key(u, i) for u, i in zip(u_indices, i_indices)], dtype=np.intp) + * cdef IntFloatDict rating_dict = IntFloatDict(keys, np.array(r_values, dtype=np.float64)) # <<<<<<<<<<<<<< + * rating_matrix = sp.csr_matrix( + * (r_values, (u_indices, i_indices)), + */ + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_array); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = PyTuple_New(1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_INCREF(__pyx_v_r_values); + __Pyx_GIVEREF(__pyx_v_r_values); + PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_v_r_values); + __pyx_t_3 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_np); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_float64); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_dtype, __pyx_t_2) < 0) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_10, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_keys); + __Pyx_GIVEREF(__pyx_v_keys); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_keys); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_2); + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6cornac_5utils_9fast_dict_IntFloatDict), __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 214, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_rating_dict = ((struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *)__pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":215 + * keys = np.array([get_key(u, i) for u, i in zip(u_indices, i_indices)], dtype=np.intp) + * cdef IntFloatDict rating_dict = IntFloatDict(keys, np.array(r_values, dtype=np.float64)) + * rating_matrix = sp.csr_matrix( # <<<<<<<<<<<<<< + * (r_values, (u_indices, i_indices)), + * shape=(self.train_set.num_users, self.train_set.num_items), + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_sp); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_csr_matrix); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":216 + * cdef IntFloatDict rating_dict = IntFloatDict(keys, np.array(r_values, dtype=np.float64)) + * rating_matrix = sp.csr_matrix( + * (r_values, (u_indices, i_indices)), # <<<<<<<<<<<<<< + * shape=(self.train_set.num_users, self.train_set.num_items), + * ) + */ + __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 216, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_u_indices); + __Pyx_GIVEREF(__pyx_v_u_indices); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_u_indices); + __Pyx_INCREF(__pyx_v_i_indices); + __Pyx_GIVEREF(__pyx_v_i_indices); + PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_v_i_indices); + __pyx_t_10 = PyTuple_New(2); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 216, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_INCREF(__pyx_v_r_values); + __Pyx_GIVEREF(__pyx_v_r_values); + PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_v_r_values); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_10, 1, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":215 + * keys = np.array([get_key(u, i) for u, i in zip(u_indices, i_indices)], dtype=np.intp) + * cdef IntFloatDict rating_dict = IntFloatDict(keys, np.array(r_values, dtype=np.float64)) + * rating_matrix = sp.csr_matrix( # <<<<<<<<<<<<<< + * (r_values, (u_indices, i_indices)), + * shape=(self.train_set.num_users, self.train_set.num_items), + */ + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GIVEREF(__pyx_t_10); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_10); + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":217 + * rating_matrix = sp.csr_matrix( + * (r_values, (u_indices, i_indices)), + * shape=(self.train_set.num_users, self.train_set.num_items), # <<<<<<<<<<<<<< + * ) + * user_item_aspect = {} + */ + __pyx_t_10 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_users); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_items); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_5); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_6); + __pyx_t_5 = 0; + __pyx_t_6 = 0; + if (PyDict_SetItem(__pyx_t_10, __pyx_n_s_shape, __pyx_t_1) < 0) __PYX_ERR(0, 217, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":215 + * keys = np.array([get_key(u, i) for u, i in zip(u_indices, i_indices)], dtype=np.intp) + * cdef IntFloatDict rating_dict = IntFloatDict(keys, np.array(r_values, dtype=np.float64)) + * rating_matrix = sp.csr_matrix( # <<<<<<<<<<<<<< + * (r_values, (u_indices, i_indices)), + * shape=(self.train_set.num_users, self.train_set.num_items), + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_2, __pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 215, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_v_rating_matrix = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":219 + * shape=(self.train_set.num_users, self.train_set.num_items), + * ) + * user_item_aspect = {} # <<<<<<<<<<<<<< + * user_aspect_opinion = {} + * item_aspect_opinion = {} + */ + __pyx_t_1 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 219, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_user_item_aspect = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":220 + * ) + * user_item_aspect = {} + * user_aspect_opinion = {} # <<<<<<<<<<<<<< + * item_aspect_opinion = {} + * for u_idx, sentiment_tup_ids_by_item in tqdm(sentiment.user_sentiment.items(), disable=not self.verbose, desc='Count aspects'): + */ + __pyx_t_1 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 220, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_user_aspect_opinion = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":221 + * user_item_aspect = {} + * user_aspect_opinion = {} + * item_aspect_opinion = {} # <<<<<<<<<<<<<< + * for u_idx, sentiment_tup_ids_by_item in tqdm(sentiment.user_sentiment.items(), disable=not self.verbose, desc='Count aspects'): + * if self.train_set.is_unk_user(u_idx): + */ + __pyx_t_1 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 221, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_item_aspect_opinion = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":222 + * user_aspect_opinion = {} + * item_aspect_opinion = {} + * for u_idx, sentiment_tup_ids_by_item in tqdm(sentiment.user_sentiment.items(), disable=not self.verbose, desc='Count aspects'): # <<<<<<<<<<<<<< + * if self.train_set.is_unk_user(u_idx): + * continue + */ + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_user_sentiment); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_items); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_10)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_10) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_10) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_10); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyBool_FromLong((!__pyx_t_4)); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_disable, __pyx_t_10) < 0) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_desc, __pyx_kp_u_Count_aspects) < 0) __PYX_ERR(0, 222, __pyx_L1_error) + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_v_tqdm, __pyx_t_2, __pyx_t_1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (likely(PyList_CheckExact(__pyx_t_10)) || PyTuple_CheckExact(__pyx_t_10)) { + __pyx_t_1 = __pyx_t_10; __Pyx_INCREF(__pyx_t_1); __pyx_t_8 = 0; + __pyx_t_9 = NULL; + } else { + __pyx_t_8 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_9 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 222, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + for (;;) { + if (likely(!__pyx_t_9)) { + if (likely(PyList_CheckExact(__pyx_t_1))) { + if (__pyx_t_8 >= PyList_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_10 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_8); __Pyx_INCREF(__pyx_t_10); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 222, __pyx_L1_error) + #else + __pyx_t_10 = PySequence_ITEM(__pyx_t_1, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + #endif + } else { + if (__pyx_t_8 >= PyTuple_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_10 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_8); __Pyx_INCREF(__pyx_t_10); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 222, __pyx_L1_error) + #else + __pyx_t_10 = PySequence_ITEM(__pyx_t_1, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + #endif + } + } else { + __pyx_t_10 = __pyx_t_9(__pyx_t_1); + if (unlikely(!__pyx_t_10)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 222, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_10); + } + if ((likely(PyTuple_CheckExact(__pyx_t_10))) || (PyList_CheckExact(__pyx_t_10))) { + PyObject* sequence = __pyx_t_10; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 222, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_2 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 1); + } else { + __pyx_t_2 = PyList_GET_ITEM(sequence, 0); + __pyx_t_3 = PyList_GET_ITEM(sequence, 1); + } + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + #else + __pyx_t_2 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_6 = PyObject_GetIter(__pyx_t_10); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 222, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_7 = Py_TYPE(__pyx_t_6)->tp_iternext; + index = 0; __pyx_t_2 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_2)) goto __pyx_L16_unpacking_failed; + __Pyx_GOTREF(__pyx_t_2); + index = 1; __pyx_t_3 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_3)) goto __pyx_L16_unpacking_failed; + __Pyx_GOTREF(__pyx_t_3); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_6), 2) < 0) __PYX_ERR(0, 222, __pyx_L1_error) + __pyx_t_7 = NULL; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + goto __pyx_L17_unpacking_done; + __pyx_L16_unpacking_failed:; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_7 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 222, __pyx_L1_error) + __pyx_L17_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_u_idx, __pyx_t_2); + __pyx_t_2 = 0; + __Pyx_XDECREF_SET(__pyx_v_sentiment_tup_ids_by_item, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":223 + * item_aspect_opinion = {} + * for u_idx, sentiment_tup_ids_by_item in tqdm(sentiment.user_sentiment.items(), disable=not self.verbose, desc='Count aspects'): + * if self.train_set.is_unk_user(u_idx): # <<<<<<<<<<<<<< + * continue + * for i_idx, tup_idx in sentiment_tup_ids_by_item.items(): + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 223, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_is_unk_user); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 223, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_10 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_3, __pyx_v_u_idx) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_v_u_idx); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 223, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_10); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 223, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":224 + * for u_idx, sentiment_tup_ids_by_item in tqdm(sentiment.user_sentiment.items(), disable=not self.verbose, desc='Count aspects'): + * if self.train_set.is_unk_user(u_idx): + * continue # <<<<<<<<<<<<<< + * for i_idx, tup_idx in sentiment_tup_ids_by_item.items(): + * user_item_aspect[ + */ + goto __pyx_L14_continue; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":223 + * item_aspect_opinion = {} + * for u_idx, sentiment_tup_ids_by_item in tqdm(sentiment.user_sentiment.items(), disable=not self.verbose, desc='Count aspects'): + * if self.train_set.is_unk_user(u_idx): # <<<<<<<<<<<<<< + * continue + * for i_idx, tup_idx in sentiment_tup_ids_by_item.items(): + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":225 + * if self.train_set.is_unk_user(u_idx): + * continue + * for i_idx, tup_idx in sentiment_tup_ids_by_item.items(): # <<<<<<<<<<<<<< + * user_item_aspect[ + * (u_idx, i_idx, sentiment.num_aspects) + */ + __pyx_t_14 = 0; + if (unlikely(__pyx_v_sentiment_tup_ids_by_item == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "items"); + __PYX_ERR(0, 225, __pyx_L1_error) + } + __pyx_t_2 = __Pyx_dict_iterator(__pyx_v_sentiment_tup_ids_by_item, 0, __pyx_n_s_items, (&__pyx_t_15), (&__pyx_t_13)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 225, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_10); + __pyx_t_10 = __pyx_t_2; + __pyx_t_2 = 0; + while (1) { + __pyx_t_12 = __Pyx_dict_iter_next(__pyx_t_10, __pyx_t_15, &__pyx_t_14, &__pyx_t_2, &__pyx_t_3, NULL, __pyx_t_13); + if (unlikely(__pyx_t_12 == 0)) break; + if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 225, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GOTREF(__pyx_t_3); + __Pyx_XDECREF_SET(__pyx_v_i_idx, __pyx_t_2); + __pyx_t_2 = 0; + __Pyx_XDECREF_SET(__pyx_v_tup_idx, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":228 + * user_item_aspect[ + * (u_idx, i_idx, sentiment.num_aspects) + * ] = rating_matrix[u_idx, i_idx] # <<<<<<<<<<<<<< + * for a_idx, o_idx, polarity in sentiment.sentiment[tup_idx]: + * user_item_aspect[(u_idx, i_idx, a_idx)] = ( + */ + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_u_idx); + __Pyx_GIVEREF(__pyx_v_u_idx); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_u_idx); + __Pyx_INCREF(__pyx_v_i_idx); + __Pyx_GIVEREF(__pyx_v_i_idx); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_i_idx); + __pyx_t_2 = __Pyx_PyObject_GetItem(__pyx_v_rating_matrix, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":227 + * for i_idx, tup_idx in sentiment_tup_ids_by_item.items(): + * user_item_aspect[ + * (u_idx, i_idx, sentiment.num_aspects) # <<<<<<<<<<<<<< + * ] = rating_matrix[u_idx, i_idx] + * for a_idx, o_idx, polarity in sentiment.sentiment[tup_idx]: + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 227, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_6 = PyTuple_New(3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 227, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_INCREF(__pyx_v_u_idx); + __Pyx_GIVEREF(__pyx_v_u_idx); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_v_u_idx); + __Pyx_INCREF(__pyx_v_i_idx); + __Pyx_GIVEREF(__pyx_v_i_idx); + PyTuple_SET_ITEM(__pyx_t_6, 1, __pyx_v_i_idx); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_6, 2, __pyx_t_3); + __pyx_t_3 = 0; + if (unlikely(PyDict_SetItem(__pyx_v_user_item_aspect, __pyx_t_6, __pyx_t_2) < 0)) __PYX_ERR(0, 226, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":229 + * (u_idx, i_idx, sentiment.num_aspects) + * ] = rating_matrix[u_idx, i_idx] + * for a_idx, o_idx, polarity in sentiment.sentiment[tup_idx]: # <<<<<<<<<<<<<< + * user_item_aspect[(u_idx, i_idx, a_idx)] = ( + * user_item_aspect.get((u_idx, i_idx, a_idx), 0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 229, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = __Pyx_PyObject_GetItem(__pyx_t_2, __pyx_v_tup_idx); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 229, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (likely(PyList_CheckExact(__pyx_t_6)) || PyTuple_CheckExact(__pyx_t_6)) { + __pyx_t_2 = __pyx_t_6; __Pyx_INCREF(__pyx_t_2); __pyx_t_16 = 0; + __pyx_t_17 = NULL; + } else { + __pyx_t_16 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 229, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_17 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 229, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + for (;;) { + if (likely(!__pyx_t_17)) { + if (likely(PyList_CheckExact(__pyx_t_2))) { + if (__pyx_t_16 >= PyList_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_6 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_16); __Pyx_INCREF(__pyx_t_6); __pyx_t_16++; if (unlikely(0 < 0)) __PYX_ERR(0, 229, __pyx_L1_error) + #else + __pyx_t_6 = PySequence_ITEM(__pyx_t_2, __pyx_t_16); __pyx_t_16++; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 229, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + #endif + } else { + if (__pyx_t_16 >= PyTuple_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_6 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_16); __Pyx_INCREF(__pyx_t_6); __pyx_t_16++; if (unlikely(0 < 0)) __PYX_ERR(0, 229, __pyx_L1_error) + #else + __pyx_t_6 = PySequence_ITEM(__pyx_t_2, __pyx_t_16); __pyx_t_16++; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 229, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + #endif + } + } else { + __pyx_t_6 = __pyx_t_17(__pyx_t_2); + if (unlikely(!__pyx_t_6)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 229, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_6); + } + if ((likely(PyTuple_CheckExact(__pyx_t_6))) || (PyList_CheckExact(__pyx_t_6))) { + PyObject* sequence = __pyx_t_6; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 3)) { + if (size > 3) __Pyx_RaiseTooManyValuesError(3); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 229, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_5 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_11 = PyTuple_GET_ITEM(sequence, 2); + } else { + __pyx_t_3 = PyList_GET_ITEM(sequence, 0); + __pyx_t_5 = PyList_GET_ITEM(sequence, 1); + __pyx_t_11 = PyList_GET_ITEM(sequence, 2); + } + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(__pyx_t_11); + #else + __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 229, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 229, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_11 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 229, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + #endif + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_18 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 229, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_18); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_7 = Py_TYPE(__pyx_t_18)->tp_iternext; + index = 0; __pyx_t_3 = __pyx_t_7(__pyx_t_18); if (unlikely(!__pyx_t_3)) goto __pyx_L23_unpacking_failed; + __Pyx_GOTREF(__pyx_t_3); + index = 1; __pyx_t_5 = __pyx_t_7(__pyx_t_18); if (unlikely(!__pyx_t_5)) goto __pyx_L23_unpacking_failed; + __Pyx_GOTREF(__pyx_t_5); + index = 2; __pyx_t_11 = __pyx_t_7(__pyx_t_18); if (unlikely(!__pyx_t_11)) goto __pyx_L23_unpacking_failed; + __Pyx_GOTREF(__pyx_t_11); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_18), 3) < 0) __PYX_ERR(0, 229, __pyx_L1_error) + __pyx_t_7 = NULL; + __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0; + goto __pyx_L24_unpacking_done; + __pyx_L23_unpacking_failed:; + __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0; + __pyx_t_7 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 229, __pyx_L1_error) + __pyx_L24_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_a_idx, __pyx_t_3); + __pyx_t_3 = 0; + __Pyx_XDECREF_SET(__pyx_v_o_idx, __pyx_t_5); + __pyx_t_5 = 0; + __Pyx_XDECREF_SET(__pyx_v_polarity, __pyx_t_11); + __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":231 + * for a_idx, o_idx, polarity in sentiment.sentiment[tup_idx]: + * user_item_aspect[(u_idx, i_idx, a_idx)] = ( + * user_item_aspect.get((u_idx, i_idx, a_idx), 0) # <<<<<<<<<<<<<< + * + polarity + * ) + */ + __pyx_t_6 = PyTuple_New(3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 231, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_INCREF(__pyx_v_u_idx); + __Pyx_GIVEREF(__pyx_v_u_idx); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_v_u_idx); + __Pyx_INCREF(__pyx_v_i_idx); + __Pyx_GIVEREF(__pyx_v_i_idx); + PyTuple_SET_ITEM(__pyx_t_6, 1, __pyx_v_i_idx); + __Pyx_INCREF(__pyx_v_a_idx); + __Pyx_GIVEREF(__pyx_v_a_idx); + PyTuple_SET_ITEM(__pyx_t_6, 2, __pyx_v_a_idx); + __pyx_t_11 = __Pyx_PyDict_GetItemDefault(__pyx_v_user_item_aspect, __pyx_t_6, __pyx_int_0); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 231, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":232 + * user_item_aspect[(u_idx, i_idx, a_idx)] = ( + * user_item_aspect.get((u_idx, i_idx, a_idx), 0) + * + polarity # <<<<<<<<<<<<<< + * ) + * if ( + */ + __pyx_t_6 = PyNumber_Add(__pyx_t_11, __pyx_v_polarity); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 232, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":230 + * ] = rating_matrix[u_idx, i_idx] + * for a_idx, o_idx, polarity in sentiment.sentiment[tup_idx]: + * user_item_aspect[(u_idx, i_idx, a_idx)] = ( # <<<<<<<<<<<<<< + * user_item_aspect.get((u_idx, i_idx, a_idx), 0) + * + polarity + */ + __pyx_t_11 = PyTuple_New(3); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 230, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_u_idx); + __Pyx_GIVEREF(__pyx_v_u_idx); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_u_idx); + __Pyx_INCREF(__pyx_v_i_idx); + __Pyx_GIVEREF(__pyx_v_i_idx); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_v_i_idx); + __Pyx_INCREF(__pyx_v_a_idx); + __Pyx_GIVEREF(__pyx_v_a_idx); + PyTuple_SET_ITEM(__pyx_t_11, 2, __pyx_v_a_idx); + if (unlikely(PyDict_SetItem(__pyx_v_user_item_aspect, __pyx_t_11, __pyx_t_6) < 0)) __PYX_ERR(0, 230, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":235 + * ) + * if ( + * polarity > 0 # <<<<<<<<<<<<<< + * ): # only include opinion with positive sentiment polarity + * user_aspect_opinion[(u_idx, a_idx, o_idx)] = ( + */ + __pyx_t_6 = PyObject_RichCompare(__pyx_v_polarity, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_6); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 235, __pyx_L1_error) + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 235, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":234 + * + polarity + * ) + * if ( # <<<<<<<<<<<<<< + * polarity > 0 + * ): # only include opinion with positive sentiment polarity + */ + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":239 + * user_aspect_opinion[(u_idx, a_idx, o_idx)] = ( + * user_aspect_opinion.get( + * (u_idx, a_idx, o_idx), 0 # <<<<<<<<<<<<<< + * ) + * + 1 + */ + __pyx_t_6 = PyTuple_New(3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 239, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_INCREF(__pyx_v_u_idx); + __Pyx_GIVEREF(__pyx_v_u_idx); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_v_u_idx); + __Pyx_INCREF(__pyx_v_a_idx); + __Pyx_GIVEREF(__pyx_v_a_idx); + PyTuple_SET_ITEM(__pyx_t_6, 1, __pyx_v_a_idx); + __Pyx_INCREF(__pyx_v_o_idx); + __Pyx_GIVEREF(__pyx_v_o_idx); + PyTuple_SET_ITEM(__pyx_t_6, 2, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":238 + * ): # only include opinion with positive sentiment polarity + * user_aspect_opinion[(u_idx, a_idx, o_idx)] = ( + * user_aspect_opinion.get( # <<<<<<<<<<<<<< + * (u_idx, a_idx, o_idx), 0 + * ) + */ + __pyx_t_11 = __Pyx_PyDict_GetItemDefault(__pyx_v_user_aspect_opinion, __pyx_t_6, __pyx_int_0); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 238, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":241 + * (u_idx, a_idx, o_idx), 0 + * ) + * + 1 # <<<<<<<<<<<<<< + * ) + * item_aspect_opinion[(i_idx, a_idx, o_idx)] = ( + */ + __pyx_t_6 = __Pyx_PyInt_AddObjC(__pyx_t_11, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 241, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":237 + * polarity > 0 + * ): # only include opinion with positive sentiment polarity + * user_aspect_opinion[(u_idx, a_idx, o_idx)] = ( # <<<<<<<<<<<<<< + * user_aspect_opinion.get( + * (u_idx, a_idx, o_idx), 0 + */ + __pyx_t_11 = PyTuple_New(3); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_u_idx); + __Pyx_GIVEREF(__pyx_v_u_idx); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_u_idx); + __Pyx_INCREF(__pyx_v_a_idx); + __Pyx_GIVEREF(__pyx_v_a_idx); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_v_a_idx); + __Pyx_INCREF(__pyx_v_o_idx); + __Pyx_GIVEREF(__pyx_v_o_idx); + PyTuple_SET_ITEM(__pyx_t_11, 2, __pyx_v_o_idx); + if (unlikely(PyDict_SetItem(__pyx_v_user_aspect_opinion, __pyx_t_11, __pyx_t_6) < 0)) __PYX_ERR(0, 237, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":245 + * item_aspect_opinion[(i_idx, a_idx, o_idx)] = ( + * item_aspect_opinion.get( + * (i_idx, a_idx, o_idx), 0 # <<<<<<<<<<<<<< + * ) + * + 1 + */ + __pyx_t_6 = PyTuple_New(3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 245, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_INCREF(__pyx_v_i_idx); + __Pyx_GIVEREF(__pyx_v_i_idx); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_v_i_idx); + __Pyx_INCREF(__pyx_v_a_idx); + __Pyx_GIVEREF(__pyx_v_a_idx); + PyTuple_SET_ITEM(__pyx_t_6, 1, __pyx_v_a_idx); + __Pyx_INCREF(__pyx_v_o_idx); + __Pyx_GIVEREF(__pyx_v_o_idx); + PyTuple_SET_ITEM(__pyx_t_6, 2, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":244 + * ) + * item_aspect_opinion[(i_idx, a_idx, o_idx)] = ( + * item_aspect_opinion.get( # <<<<<<<<<<<<<< + * (i_idx, a_idx, o_idx), 0 + * ) + */ + __pyx_t_11 = __Pyx_PyDict_GetItemDefault(__pyx_v_item_aspect_opinion, __pyx_t_6, __pyx_int_0); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 244, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":247 + * (i_idx, a_idx, o_idx), 0 + * ) + * + 1 # <<<<<<<<<<<<<< + * ) + * + */ + __pyx_t_6 = __Pyx_PyInt_AddObjC(__pyx_t_11, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 247, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":243 + * + 1 + * ) + * item_aspect_opinion[(i_idx, a_idx, o_idx)] = ( # <<<<<<<<<<<<<< + * item_aspect_opinion.get( + * (i_idx, a_idx, o_idx), 0 + */ + __pyx_t_11 = PyTuple_New(3); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_i_idx); + __Pyx_GIVEREF(__pyx_v_i_idx); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_i_idx); + __Pyx_INCREF(__pyx_v_a_idx); + __Pyx_GIVEREF(__pyx_v_a_idx); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_v_a_idx); + __Pyx_INCREF(__pyx_v_o_idx); + __Pyx_GIVEREF(__pyx_v_o_idx); + PyTuple_SET_ITEM(__pyx_t_11, 2, __pyx_v_o_idx); + if (unlikely(PyDict_SetItem(__pyx_v_item_aspect_opinion, __pyx_t_11, __pyx_t_6) < 0)) __PYX_ERR(0, 243, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":234 + * + polarity + * ) + * if ( # <<<<<<<<<<<<<< + * polarity > 0 + * ): # only include opinion with positive sentiment polarity + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":229 + * (u_idx, i_idx, sentiment.num_aspects) + * ] = rating_matrix[u_idx, i_idx] + * for a_idx, o_idx, polarity in sentiment.sentiment[tup_idx]: # <<<<<<<<<<<<<< + * user_item_aspect[(u_idx, i_idx, a_idx)] = ( + * user_item_aspect.get((u_idx, i_idx, a_idx), 0) + */ + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":222 + * user_aspect_opinion = {} + * item_aspect_opinion = {} + * for u_idx, sentiment_tup_ids_by_item in tqdm(sentiment.user_sentiment.items(), disable=not self.verbose, desc='Count aspects'): # <<<<<<<<<<<<<< + * if self.train_set.is_unk_user(u_idx): + * continue + */ + __pyx_L14_continue:; + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":250 + * ) + * + * for key in tqdm(user_item_aspect.keys(), disable=not self.verbose, desc='Compute X'): # <<<<<<<<<<<<<< + * if key[2] != sentiment.num_aspects: + * user_item_aspect[key] = self._compute_quality_score( + */ + __pyx_t_1 = __Pyx_PyDict_Keys(__pyx_v_user_item_aspect); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 250, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_10 = PyTuple_New(1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 250, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 250, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 250, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 250, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyBool_FromLong((!__pyx_t_4)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 250, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_disable, __pyx_t_2) < 0) __PYX_ERR(0, 250, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_desc, __pyx_kp_u_Compute_X) < 0) __PYX_ERR(0, 250, __pyx_L1_error) + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_v_tqdm, __pyx_t_10, __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 250, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (likely(PyList_CheckExact(__pyx_t_2)) || PyTuple_CheckExact(__pyx_t_2)) { + __pyx_t_1 = __pyx_t_2; __Pyx_INCREF(__pyx_t_1); __pyx_t_8 = 0; + __pyx_t_9 = NULL; + } else { + __pyx_t_8 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 250, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_9 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 250, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + for (;;) { + if (likely(!__pyx_t_9)) { + if (likely(PyList_CheckExact(__pyx_t_1))) { + if (__pyx_t_8 >= PyList_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_2 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_8); __Pyx_INCREF(__pyx_t_2); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 250, __pyx_L1_error) + #else + __pyx_t_2 = PySequence_ITEM(__pyx_t_1, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 250, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + #endif + } else { + if (__pyx_t_8 >= PyTuple_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_8); __Pyx_INCREF(__pyx_t_2); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 250, __pyx_L1_error) + #else + __pyx_t_2 = PySequence_ITEM(__pyx_t_1, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 250, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + #endif + } + } else { + __pyx_t_2 = __pyx_t_9(__pyx_t_1); + if (unlikely(!__pyx_t_2)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 250, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_2); + } + __Pyx_XDECREF_SET(__pyx_v_key, __pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":251 + * + * for key in tqdm(user_item_aspect.keys(), disable=not self.verbose, desc='Compute X'): + * if key[2] != sentiment.num_aspects: # <<<<<<<<<<<<<< + * user_item_aspect[key] = self._compute_quality_score( + * user_item_aspect[key] + */ + __pyx_t_2 = __Pyx_GetItemInt(__pyx_v_key, 2, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 251, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_sentiment, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 251, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_6 = PyObject_RichCompare(__pyx_t_2, __pyx_t_10, Py_NE); __Pyx_XGOTREF(__pyx_t_6); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 251, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 251, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":252 + * for key in tqdm(user_item_aspect.keys(), disable=not self.verbose, desc='Compute X'): + * if key[2] != sentiment.num_aspects: + * user_item_aspect[key] = self._compute_quality_score( # <<<<<<<<<<<<<< + * user_item_aspect[key] + * ) + */ + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_compute_quality_score); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 252, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":253 + * if key[2] != sentiment.num_aspects: + * user_item_aspect[key] = self._compute_quality_score( + * user_item_aspect[key] # <<<<<<<<<<<<<< + * ) + * + */ + __pyx_t_2 = __Pyx_PyDict_GetItem(__pyx_v_user_item_aspect, __pyx_v_key); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 253, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_10))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_10); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_10); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_10, function); + } + } + __pyx_t_6 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_10, __pyx_t_11, __pyx_t_2) : __Pyx_PyObject_CallOneArg(__pyx_t_10, __pyx_t_2); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 252, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":252 + * for key in tqdm(user_item_aspect.keys(), disable=not self.verbose, desc='Compute X'): + * if key[2] != sentiment.num_aspects: + * user_item_aspect[key] = self._compute_quality_score( # <<<<<<<<<<<<<< + * user_item_aspect[key] + * ) + */ + if (unlikely(PyDict_SetItem(__pyx_v_user_item_aspect, __pyx_v_key, __pyx_t_6) < 0)) __PYX_ERR(0, 252, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":251 + * + * for key in tqdm(user_item_aspect.keys(), disable=not self.verbose, desc='Compute X'): + * if key[2] != sentiment.num_aspects: # <<<<<<<<<<<<<< + * user_item_aspect[key] = self._compute_quality_score( + * user_item_aspect[key] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":250 + * ) + * + * for key in tqdm(user_item_aspect.keys(), disable=not self.verbose, desc='Compute X'): # <<<<<<<<<<<<<< + * if key[2] != sentiment.num_aspects: + * user_item_aspect[key] = self._compute_quality_score( + */ + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":256 + * ) + * + * for key in tqdm(user_aspect_opinion.keys(), disable=not self.verbose, desc='Compute YU'): # <<<<<<<<<<<<<< + * user_aspect_opinion[key] = self._compute_attention_score( + * user_aspect_opinion[key] + */ + __pyx_t_1 = __Pyx_PyDict_Keys(__pyx_v_user_aspect_opinion); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 256, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 256, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 256, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 256, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_10); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 256, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyBool_FromLong((!__pyx_t_4)); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 256, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_disable, __pyx_t_10) < 0) __PYX_ERR(0, 256, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_desc, __pyx_kp_u_Compute_YU) < 0) __PYX_ERR(0, 256, __pyx_L1_error) + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_v_tqdm, __pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 256, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (likely(PyList_CheckExact(__pyx_t_10)) || PyTuple_CheckExact(__pyx_t_10)) { + __pyx_t_1 = __pyx_t_10; __Pyx_INCREF(__pyx_t_1); __pyx_t_8 = 0; + __pyx_t_9 = NULL; + } else { + __pyx_t_8 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 256, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_9 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 256, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + for (;;) { + if (likely(!__pyx_t_9)) { + if (likely(PyList_CheckExact(__pyx_t_1))) { + if (__pyx_t_8 >= PyList_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_10 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_8); __Pyx_INCREF(__pyx_t_10); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 256, __pyx_L1_error) + #else + __pyx_t_10 = PySequence_ITEM(__pyx_t_1, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 256, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + #endif + } else { + if (__pyx_t_8 >= PyTuple_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_10 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_8); __Pyx_INCREF(__pyx_t_10); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 256, __pyx_L1_error) + #else + __pyx_t_10 = PySequence_ITEM(__pyx_t_1, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 256, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + #endif + } + } else { + __pyx_t_10 = __pyx_t_9(__pyx_t_1); + if (unlikely(!__pyx_t_10)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 256, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_10); + } + __Pyx_XDECREF_SET(__pyx_v_key, __pyx_t_10); + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":257 + * + * for key in tqdm(user_aspect_opinion.keys(), disable=not self.verbose, desc='Compute YU'): + * user_aspect_opinion[key] = self._compute_attention_score( # <<<<<<<<<<<<<< + * user_aspect_opinion[key] + * ) + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_compute_attention_score); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 257, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":258 + * for key in tqdm(user_aspect_opinion.keys(), disable=not self.verbose, desc='Compute YU'): + * user_aspect_opinion[key] = self._compute_attention_score( + * user_aspect_opinion[key] # <<<<<<<<<<<<<< + * ) + * + */ + __pyx_t_2 = __Pyx_PyDict_GetItem(__pyx_v_user_aspect_opinion, __pyx_v_key); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 258, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_6); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_6, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_6, __pyx_t_11, __pyx_t_2) : __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_t_2); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 257, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":257 + * + * for key in tqdm(user_aspect_opinion.keys(), disable=not self.verbose, desc='Compute YU'): + * user_aspect_opinion[key] = self._compute_attention_score( # <<<<<<<<<<<<<< + * user_aspect_opinion[key] + * ) + */ + if (unlikely(PyDict_SetItem(__pyx_v_user_aspect_opinion, __pyx_v_key, __pyx_t_10) < 0)) __PYX_ERR(0, 257, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":256 + * ) + * + * for key in tqdm(user_aspect_opinion.keys(), disable=not self.verbose, desc='Compute YU'): # <<<<<<<<<<<<<< + * user_aspect_opinion[key] = self._compute_attention_score( + * user_aspect_opinion[key] + */ + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":261 + * ) + * + * for key in tqdm(item_aspect_opinion.keys(), disable=not self.verbose, desc='Compute YI'): # <<<<<<<<<<<<<< + * item_aspect_opinion[key] = self._compute_attention_score( + * item_aspect_opinion[key] + */ + __pyx_t_1 = __Pyx_PyDict_Keys(__pyx_v_item_aspect_opinion); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_10 = PyTuple_New(1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyBool_FromLong((!__pyx_t_4)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_disable, __pyx_t_6) < 0) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_desc, __pyx_kp_u_Compute_YI) < 0) __PYX_ERR(0, 261, __pyx_L1_error) + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_v_tqdm, __pyx_t_10, __pyx_t_1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (likely(PyList_CheckExact(__pyx_t_6)) || PyTuple_CheckExact(__pyx_t_6)) { + __pyx_t_1 = __pyx_t_6; __Pyx_INCREF(__pyx_t_1); __pyx_t_8 = 0; + __pyx_t_9 = NULL; + } else { + __pyx_t_8 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_9 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 261, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + for (;;) { + if (likely(!__pyx_t_9)) { + if (likely(PyList_CheckExact(__pyx_t_1))) { + if (__pyx_t_8 >= PyList_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_6 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_8); __Pyx_INCREF(__pyx_t_6); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + #else + __pyx_t_6 = PySequence_ITEM(__pyx_t_1, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + #endif + } else { + if (__pyx_t_8 >= PyTuple_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_6 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_8); __Pyx_INCREF(__pyx_t_6); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 261, __pyx_L1_error) + #else + __pyx_t_6 = PySequence_ITEM(__pyx_t_1, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + #endif + } + } else { + __pyx_t_6 = __pyx_t_9(__pyx_t_1); + if (unlikely(!__pyx_t_6)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 261, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_6); + } + __Pyx_XDECREF_SET(__pyx_v_key, __pyx_t_6); + __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":262 + * + * for key in tqdm(item_aspect_opinion.keys(), disable=not self.verbose, desc='Compute YI'): + * item_aspect_opinion[key] = self._compute_attention_score( # <<<<<<<<<<<<<< + * item_aspect_opinion[key] + * ) + */ + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_compute_attention_score); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 262, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":263 + * for key in tqdm(item_aspect_opinion.keys(), disable=not self.verbose, desc='Compute YI'): + * item_aspect_opinion[key] = self._compute_attention_score( + * item_aspect_opinion[key] # <<<<<<<<<<<<<< + * ) + * Y = self._build_item_quality_matrix(data_set, sentiment) + */ + __pyx_t_2 = __Pyx_PyDict_GetItem(__pyx_v_item_aspect_opinion, __pyx_v_key); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 263, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_10))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_10); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_10); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_10, function); + } + } + __pyx_t_6 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_10, __pyx_t_11, __pyx_t_2) : __Pyx_PyObject_CallOneArg(__pyx_t_10, __pyx_t_2); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 262, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":262 + * + * for key in tqdm(item_aspect_opinion.keys(), disable=not self.verbose, desc='Compute YI'): + * item_aspect_opinion[key] = self._compute_attention_score( # <<<<<<<<<<<<<< + * item_aspect_opinion[key] + * ) + */ + if (unlikely(PyDict_SetItem(__pyx_v_item_aspect_opinion, __pyx_v_key, __pyx_t_6) < 0)) __PYX_ERR(0, 262, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":261 + * ) + * + * for key in tqdm(item_aspect_opinion.keys(), disable=not self.verbose, desc='Compute YI'): # <<<<<<<<<<<<<< + * item_aspect_opinion[key] = self._compute_attention_score( + * item_aspect_opinion[key] + */ + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":265 + * item_aspect_opinion[key] + * ) + * Y = self._build_item_quality_matrix(data_set, sentiment) # <<<<<<<<<<<<<< + * user_indices, earlier_indices, later_indices, aspect_indices, pair_freq = self._build_chrono_purchased_pairs(data_set, user_item_aspect, Y) + * + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_build_item_quality_matrix); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 265, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_10 = NULL; + __pyx_t_13 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) { + __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_6); + if (likely(__pyx_t_10)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_6, function); + __pyx_t_13 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_6)) { + PyObject *__pyx_temp[3] = {__pyx_t_10, __pyx_v_data_set, __pyx_v_sentiment}; + __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_13, 2+__pyx_t_13); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 265, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_GOTREF(__pyx_t_1); + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) { + PyObject *__pyx_temp[3] = {__pyx_t_10, __pyx_v_data_set, __pyx_v_sentiment}; + __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_13, 2+__pyx_t_13); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 265, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_GOTREF(__pyx_t_1); + } else + #endif + { + __pyx_t_2 = PyTuple_New(2+__pyx_t_13); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 265, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (__pyx_t_10) { + __Pyx_GIVEREF(__pyx_t_10); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_10); __pyx_t_10 = NULL; + } + __Pyx_INCREF(__pyx_v_data_set); + __Pyx_GIVEREF(__pyx_v_data_set); + PyTuple_SET_ITEM(__pyx_t_2, 0+__pyx_t_13, __pyx_v_data_set); + __Pyx_INCREF(__pyx_v_sentiment); + __Pyx_GIVEREF(__pyx_v_sentiment); + PyTuple_SET_ITEM(__pyx_t_2, 1+__pyx_t_13, __pyx_v_sentiment); + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 265, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_v_Y = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":266 + * ) + * Y = self._build_item_quality_matrix(data_set, sentiment) + * user_indices, earlier_indices, later_indices, aspect_indices, pair_freq = self._build_chrono_purchased_pairs(data_set, user_item_aspect, Y) # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_build_chrono_purchased_pairs); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 266, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_2 = NULL; + __pyx_t_13 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_6); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_6, function); + __pyx_t_13 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_6)) { + PyObject *__pyx_temp[4] = {__pyx_t_2, __pyx_v_data_set, __pyx_v_user_item_aspect, __pyx_v_Y}; + __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_13, 3+__pyx_t_13); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 266, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_GOTREF(__pyx_t_1); + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) { + PyObject *__pyx_temp[4] = {__pyx_t_2, __pyx_v_data_set, __pyx_v_user_item_aspect, __pyx_v_Y}; + __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_13, 3+__pyx_t_13); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 266, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_GOTREF(__pyx_t_1); + } else + #endif + { + __pyx_t_10 = PyTuple_New(3+__pyx_t_13); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 266, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + if (__pyx_t_2) { + __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_2); __pyx_t_2 = NULL; + } + __Pyx_INCREF(__pyx_v_data_set); + __Pyx_GIVEREF(__pyx_v_data_set); + PyTuple_SET_ITEM(__pyx_t_10, 0+__pyx_t_13, __pyx_v_data_set); + __Pyx_INCREF(__pyx_v_user_item_aspect); + __Pyx_GIVEREF(__pyx_v_user_item_aspect); + PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_13, __pyx_v_user_item_aspect); + __Pyx_INCREF(__pyx_v_Y); + __Pyx_GIVEREF(__pyx_v_Y); + PyTuple_SET_ITEM(__pyx_t_10, 2+__pyx_t_13, __pyx_v_Y); + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_10, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 266, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + } + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) { + PyObject* sequence = __pyx_t_1; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 5)) { + if (size > 5) __Pyx_RaiseTooManyValuesError(5); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 266, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_6 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_10 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_2 = PyTuple_GET_ITEM(sequence, 2); + __pyx_t_11 = PyTuple_GET_ITEM(sequence, 3); + __pyx_t_5 = PyTuple_GET_ITEM(sequence, 4); + } else { + __pyx_t_6 = PyList_GET_ITEM(sequence, 0); + __pyx_t_10 = PyList_GET_ITEM(sequence, 1); + __pyx_t_2 = PyList_GET_ITEM(sequence, 2); + __pyx_t_11 = PyList_GET_ITEM(sequence, 3); + __pyx_t_5 = PyList_GET_ITEM(sequence, 4); + } + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(__pyx_t_5); + #else + { + Py_ssize_t i; + PyObject** temps[5] = {&__pyx_t_6,&__pyx_t_10,&__pyx_t_2,&__pyx_t_11,&__pyx_t_5}; + for (i=0; i < 5; i++) { + PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) __PYX_ERR(0, 266, __pyx_L1_error) + __Pyx_GOTREF(item); + *(temps[i]) = item; + } + } + #endif + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else { + Py_ssize_t index = -1; + PyObject** temps[5] = {&__pyx_t_6,&__pyx_t_10,&__pyx_t_2,&__pyx_t_11,&__pyx_t_5}; + __pyx_t_3 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 266, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_7 = Py_TYPE(__pyx_t_3)->tp_iternext; + for (index=0; index < 5; index++) { + PyObject* item = __pyx_t_7(__pyx_t_3); if (unlikely(!item)) goto __pyx_L33_unpacking_failed; + __Pyx_GOTREF(item); + *(temps[index]) = item; + } + if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_3), 5) < 0) __PYX_ERR(0, 266, __pyx_L1_error) + __pyx_t_7 = NULL; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + goto __pyx_L34_unpacking_done; + __pyx_L33_unpacking_failed:; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_7 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 266, __pyx_L1_error) + __pyx_L34_unpacking_done:; + } + __pyx_v_user_indices = __pyx_t_6; + __pyx_t_6 = 0; + __pyx_v_earlier_indices = __pyx_t_10; + __pyx_t_10 = 0; + __pyx_v_later_indices = __pyx_t_2; + __pyx_t_2 = 0; + __pyx_v_aspect_indices = __pyx_t_11; + __pyx_t_11 = 0; + __pyx_v_pair_freq = __pyx_t_5; + __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":268 + * user_indices, earlier_indices, later_indices, aspect_indices, pair_freq = self._build_chrono_purchased_pairs(data_set, user_item_aspect, Y) + * + * if self.verbose: # <<<<<<<<<<<<<< + * total_time = time.time() - start_time + * print("Building data completed in %d s" % total_time) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 268, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 268, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":269 + * + * if self.verbose: + * total_time = time.time() - start_time # <<<<<<<<<<<<<< + * print("Building data completed in %d s" % total_time) + * return ( + */ + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_time, __pyx_n_s_time); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 269, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + } + } + __pyx_t_1 = (__pyx_t_11) ? __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_11) : __Pyx_PyObject_CallNoArg(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 269, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_t_5 = PyNumber_Subtract(__pyx_t_1, __pyx_v_start_time); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 269, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_total_time = __pyx_t_5; + __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":270 + * if self.verbose: + * total_time = time.time() - start_time + * print("Building data completed in %d s" % total_time) # <<<<<<<<<<<<<< + * return ( + * rating_matrix, + */ + __pyx_t_5 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_Building_data_completed_in_d_s, __pyx_v_total_time); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 270, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":268 + * user_indices, earlier_indices, later_indices, aspect_indices, pair_freq = self._build_chrono_purchased_pairs(data_set, user_item_aspect, Y) + * + * if self.verbose: # <<<<<<<<<<<<<< + * total_time = time.time() - start_time + * print("Building data completed in %d s" % total_time) + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":271 + * total_time = time.time() - start_time + * print("Building data completed in %d s" % total_time) + * return ( # <<<<<<<<<<<<<< + * rating_matrix, + * rating_dict, + */ + __Pyx_XDECREF(__pyx_r); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":272 + * print("Building data completed in %d s" % total_time) + * return ( + * rating_matrix, # <<<<<<<<<<<<<< + * rating_dict, + * user_item_aspect, + */ + __pyx_t_1 = PyTuple_New(10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_rating_matrix); + __Pyx_GIVEREF(__pyx_v_rating_matrix); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_rating_matrix); + __Pyx_INCREF(((PyObject *)__pyx_v_rating_dict)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_rating_dict)); + PyTuple_SET_ITEM(__pyx_t_1, 1, ((PyObject *)__pyx_v_rating_dict)); + __Pyx_INCREF(__pyx_v_user_item_aspect); + __Pyx_GIVEREF(__pyx_v_user_item_aspect); + PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_v_user_item_aspect); + __Pyx_INCREF(__pyx_v_user_aspect_opinion); + __Pyx_GIVEREF(__pyx_v_user_aspect_opinion); + PyTuple_SET_ITEM(__pyx_t_1, 3, __pyx_v_user_aspect_opinion); + __Pyx_INCREF(__pyx_v_item_aspect_opinion); + __Pyx_GIVEREF(__pyx_v_item_aspect_opinion); + PyTuple_SET_ITEM(__pyx_t_1, 4, __pyx_v_item_aspect_opinion); + __Pyx_INCREF(__pyx_v_user_indices); + __Pyx_GIVEREF(__pyx_v_user_indices); + PyTuple_SET_ITEM(__pyx_t_1, 5, __pyx_v_user_indices); + __Pyx_INCREF(__pyx_v_earlier_indices); + __Pyx_GIVEREF(__pyx_v_earlier_indices); + PyTuple_SET_ITEM(__pyx_t_1, 6, __pyx_v_earlier_indices); + __Pyx_INCREF(__pyx_v_later_indices); + __Pyx_GIVEREF(__pyx_v_later_indices); + PyTuple_SET_ITEM(__pyx_t_1, 7, __pyx_v_later_indices); + __Pyx_INCREF(__pyx_v_aspect_indices); + __Pyx_GIVEREF(__pyx_v_aspect_indices); + PyTuple_SET_ITEM(__pyx_t_1, 8, __pyx_v_aspect_indices); + __Pyx_INCREF(__pyx_v_pair_freq); + __Pyx_GIVEREF(__pyx_v_pair_freq); + PyTuple_SET_ITEM(__pyx_t_1, 9, __pyx_v_pair_freq); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":203 + * return Y + * + * def _build_data(self, data_set): # <<<<<<<<<<<<<< + * import time + * from tqdm import tqdm + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_10); + __Pyx_XDECREF(__pyx_t_11); + __Pyx_XDECREF(__pyx_t_18); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._build_data", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_time); + __Pyx_XDECREF(__pyx_v_tqdm); + __Pyx_XDECREF(__pyx_v_start_time); + __Pyx_XDECREF(__pyx_v_sentiment); + __Pyx_XDECREF(__pyx_v_u_indices); + __Pyx_XDECREF(__pyx_v_i_indices); + __Pyx_XDECREF(__pyx_v_r_values); + __Pyx_XDECREF(__pyx_v_keys); + __Pyx_XDECREF((PyObject *)__pyx_v_rating_dict); + __Pyx_XDECREF(__pyx_v_rating_matrix); + __Pyx_XDECREF(__pyx_v_user_item_aspect); + __Pyx_XDECREF(__pyx_v_user_aspect_opinion); + __Pyx_XDECREF(__pyx_v_item_aspect_opinion); + __Pyx_XDECREF(__pyx_v_u_idx); + __Pyx_XDECREF(__pyx_v_sentiment_tup_ids_by_item); + __Pyx_XDECREF(__pyx_v_i_idx); + __Pyx_XDECREF(__pyx_v_tup_idx); + __Pyx_XDECREF(__pyx_v_a_idx); + __Pyx_XDECREF(__pyx_v_o_idx); + __Pyx_XDECREF(__pyx_v_polarity); + __Pyx_XDECREF(__pyx_v_key); + __Pyx_XDECREF(__pyx_v_Y); + __Pyx_XDECREF(__pyx_v_user_indices); + __Pyx_XDECREF(__pyx_v_earlier_indices); + __Pyx_XDECREF(__pyx_v_later_indices); + __Pyx_XDECREF(__pyx_v_aspect_indices); + __Pyx_XDECREF(__pyx_v_pair_freq); + __Pyx_XDECREF(__pyx_v_total_time); + __Pyx_XDECREF(__pyx_8genexpr1__pyx_v_u); + __Pyx_XDECREF(__pyx_8genexpr1__pyx_v_i); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_sub.pyx":280 + * ) + * + * def _build_chrono_purchased_pairs(self, data_set, user_item_aspect, Y): # <<<<<<<<<<<<<< + * start_time = time() + * from tqdm import tqdm + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_7_build_chrono_purchased_pairs(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_7_build_chrono_purchased_pairs = {"_build_chrono_purchased_pairs", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_7_build_chrono_purchased_pairs, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_7_build_chrono_purchased_pairs(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_data_set = 0; + PyObject *__pyx_v_user_item_aspect = 0; + PyObject *__pyx_v_Y = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_build_chrono_purchased_pairs (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_data_set,&__pyx_n_s_user_item_aspect,&__pyx_n_s_Y,0}; + PyObject* values[4] = {0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_data_set)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_chrono_purchased_pairs", 1, 4, 4, 1); __PYX_ERR(0, 280, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_user_item_aspect)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_chrono_purchased_pairs", 1, 4, 4, 2); __PYX_ERR(0, 280, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Y)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_build_chrono_purchased_pairs", 1, 4, 4, 3); __PYX_ERR(0, 280, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_build_chrono_purchased_pairs") < 0)) __PYX_ERR(0, 280, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 4) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + } + __pyx_v_self = values[0]; + __pyx_v_data_set = values[1]; + __pyx_v_user_item_aspect = values[2]; + __pyx_v_Y = values[3]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_build_chrono_purchased_pairs", 1, 4, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 280, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._build_chrono_purchased_pairs", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_6_build_chrono_purchased_pairs(__pyx_self, __pyx_v_self, __pyx_v_data_set, __pyx_v_user_item_aspect, __pyx_v_Y); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_6_build_chrono_purchased_pairs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_data_set, PyObject *__pyx_v_user_item_aspect, PyObject *__pyx_v_Y) { + PyObject *__pyx_v_start_time = NULL; + PyObject *__pyx_v_tqdm = NULL; + PyObject *__pyx_v_chrono_purchased_pairs = NULL; + PyObject *__pyx_v_user_idx = NULL; + PyObject *__pyx_v_item_ids = NULL; + CYTHON_UNUSED PyObject *__pyx_v__ = NULL; + PyObject *__pyx_v_window = NULL; + PyObject *__pyx_v_sub_item_ids = NULL; + PyObject *__pyx_v_earlier_item_idx = NULL; + PyObject *__pyx_v_later_item_idx = NULL; + PyObject *__pyx_v_pair_counts = NULL; + PyObject *__pyx_v_common_aspect_counts = NULL; + PyObject *__pyx_v_counted_pairs = NULL; + PyObject *__pyx_v_not_dominated_pairs = NULL; + PyObject *__pyx_v_count = NULL; + PyObject *__pyx_v_k = NULL; + PyObject *__pyx_v_user_indices = NULL; + PyObject *__pyx_v_earlier_indices = NULL; + PyObject *__pyx_v_later_indices = NULL; + PyObject *__pyx_v_aspect_indices = NULL; + PyObject *__pyx_v_pair_freq = NULL; + PyObject *__pyx_v_aspect_idx = NULL; + PyObject *__pyx_8genexpr2__pyx_v_i = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + Py_ssize_t __pyx_t_5; + PyObject *(*__pyx_t_6)(PyObject *); + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + PyObject *(*__pyx_t_9)(PyObject *); + PyObject *__pyx_t_10 = NULL; + PyObject *__pyx_t_11 = NULL; + Py_ssize_t __pyx_t_12; + int __pyx_t_13; + PyObject *(*__pyx_t_14)(PyObject *); + int __pyx_t_15; + Py_ssize_t __pyx_t_16; + PyObject *__pyx_t_17 = NULL; + int __pyx_t_18; + int __pyx_t_19; + PyObject *__pyx_t_20 = NULL; + Py_UCS4 __pyx_t_21; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_build_chrono_purchased_pairs", 0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":281 + * + * def _build_chrono_purchased_pairs(self, data_set, user_item_aspect, Y): + * start_time = time() # <<<<<<<<<<<<<< + * from tqdm import tqdm + * chrono_purchased_pairs = Counter() + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_time); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 281, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_start_time = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":282 + * def _build_chrono_purchased_pairs(self, data_set, user_item_aspect, Y): + * start_time = time() + * from tqdm import tqdm # <<<<<<<<<<<<<< + * chrono_purchased_pairs = Counter() + * for user_idx, (item_ids, *_) in tqdm(data_set.chrono_user_data.items(), disable=not self.verbose, desc='Get purchased pairs'): + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s_tqdm); + __Pyx_GIVEREF(__pyx_n_s_tqdm); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_tqdm); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_tqdm, __pyx_t_1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_tqdm); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 282, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_t_1); + __pyx_v_tqdm = __pyx_t_1; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":283 + * start_time = time() + * from tqdm import tqdm + * chrono_purchased_pairs = Counter() # <<<<<<<<<<<<<< + * for user_idx, (item_ids, *_) in tqdm(data_set.chrono_user_data.items(), disable=not self.verbose, desc='Get purchased pairs'): + * if len(item_ids) >= self.min_user_freq: + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_Counter); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 283, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_2 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 283, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_chrono_purchased_pairs = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":284 + * from tqdm import tqdm + * chrono_purchased_pairs = Counter() + * for user_idx, (item_ids, *_) in tqdm(data_set.chrono_user_data.items(), disable=not self.verbose, desc='Get purchased pairs'): # <<<<<<<<<<<<<< + * if len(item_ids) >= self.min_user_freq: + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_data_set, __pyx_n_s_chrono_user_data); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_items); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_2 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_2); + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyBool_FromLong((!__pyx_t_4)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_disable, __pyx_t_1) < 0) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_desc, __pyx_kp_u_Get_purchased_pairs) < 0) __PYX_ERR(0, 284, __pyx_L1_error) + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_v_tqdm, __pyx_t_3, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (likely(PyList_CheckExact(__pyx_t_1)) || PyTuple_CheckExact(__pyx_t_1)) { + __pyx_t_2 = __pyx_t_1; __Pyx_INCREF(__pyx_t_2); __pyx_t_5 = 0; + __pyx_t_6 = NULL; + } else { + __pyx_t_5 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 284, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + for (;;) { + if (likely(!__pyx_t_6)) { + if (likely(PyList_CheckExact(__pyx_t_2))) { + if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_1 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 284, __pyx_L1_error) + #else + __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + #endif + } else { + if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 284, __pyx_L1_error) + #else + __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + #endif + } + } else { + __pyx_t_1 = __pyx_t_6(__pyx_t_2); + if (unlikely(!__pyx_t_1)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 284, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_1); + } + if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) { + PyObject* sequence = __pyx_t_1; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 284, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_7 = PyTuple_GET_ITEM(sequence, 1); + } else { + __pyx_t_3 = PyList_GET_ITEM(sequence, 0); + __pyx_t_7 = PyList_GET_ITEM(sequence, 1); + } + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(__pyx_t_7); + #else + __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_7 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + #endif + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_8 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_9 = Py_TYPE(__pyx_t_8)->tp_iternext; + index = 0; __pyx_t_3 = __pyx_t_9(__pyx_t_8); if (unlikely(!__pyx_t_3)) goto __pyx_L5_unpacking_failed; + __Pyx_GOTREF(__pyx_t_3); + index = 1; __pyx_t_7 = __pyx_t_9(__pyx_t_8); if (unlikely(!__pyx_t_7)) goto __pyx_L5_unpacking_failed; + __Pyx_GOTREF(__pyx_t_7); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_9(__pyx_t_8), 2) < 0) __PYX_ERR(0, 284, __pyx_L1_error) + __pyx_t_9 = NULL; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + goto __pyx_L6_unpacking_done; + __pyx_L5_unpacking_failed:; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_9 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 284, __pyx_L1_error) + __pyx_L6_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_user_idx, __pyx_t_3); + __pyx_t_3 = 0; + { + Py_ssize_t index = -1; + PyObject** temps[2] = {&__pyx_t_8}; + __pyx_t_10 = PyObject_GetIter(__pyx_t_7); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_9 = Py_TYPE(__pyx_t_10)->tp_iternext; + for (index=0; index < 1; index++) { + PyObject* item = __pyx_t_9(__pyx_t_10); if (unlikely(!item)) goto __pyx_L7_unpacking_failed; + __Pyx_GOTREF(item); + *(temps[index]) = item; + } + goto __pyx_L8_unpacking_done; + __pyx_L7_unpacking_failed:; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_9 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 284, __pyx_L1_error) + __pyx_L8_unpacking_done:; + } + __pyx_t_11 = PySequence_List(__pyx_t_10); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 284, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_XDECREF_SET(__pyx_v_item_ids, __pyx_t_8); + __pyx_t_8 = 0; + __Pyx_XDECREF_SET(__pyx_v__, ((PyObject*)__pyx_t_11)); + __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":285 + * chrono_purchased_pairs = Counter() + * for user_idx, (item_ids, *_) in tqdm(data_set.chrono_user_data.items(), disable=not self.verbose, desc='Get purchased pairs'): + * if len(item_ids) >= self.min_user_freq: # <<<<<<<<<<<<<< + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + */ + __pyx_t_12 = PyObject_Length(__pyx_v_item_ids); if (unlikely(__pyx_t_12 == ((Py_ssize_t)-1))) __PYX_ERR(0, 285, __pyx_L1_error) + __pyx_t_1 = PyInt_FromSsize_t(__pyx_t_12); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_user_freq); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_3 = PyObject_RichCompare(__pyx_t_1, __pyx_t_7, Py_GE); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 285, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":286 + * for user_idx, (item_ids, *_) in tqdm(data_set.chrono_user_data.items(), disable=not self.verbose, desc='Get purchased pairs'): + * if len(item_ids) >= self.min_user_freq: + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) # <<<<<<<<<<<<<< + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + */ + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_enum_window); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_4 = (__pyx_t_7 == Py_None); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if ((__pyx_t_4 != 0)) { + __pyx_t_12 = PyObject_Length(__pyx_v_item_ids); if (unlikely(__pyx_t_12 == ((Py_ssize_t)-1))) __PYX_ERR(0, 286, __pyx_L1_error) + __pyx_t_7 = PyInt_FromSsize_t(__pyx_t_12); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_3 = __pyx_t_7; + __pyx_t_7 = 0; + } else { + __pyx_t_12 = PyObject_Length(__pyx_v_item_ids); if (unlikely(__pyx_t_12 == ((Py_ssize_t)-1))) __PYX_ERR(0, 286, __pyx_L1_error) + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_enum_window); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_11 = PyInt_FromSsize_t(__pyx_t_12); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_8 = PyObject_RichCompare(__pyx_t_11, __pyx_t_7, Py_LT); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_13 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely(__pyx_t_13 < 0)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (__pyx_t_13) { + __pyx_t_8 = PyInt_FromSsize_t(__pyx_t_12); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_1 = __pyx_t_8; + __pyx_t_8 = 0; + } else { + __Pyx_INCREF(__pyx_t_7); + __pyx_t_1 = __pyx_t_7; + } + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_INCREF(__pyx_t_1); + __pyx_t_3 = __pyx_t_1; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } + __Pyx_XDECREF_SET(__pyx_v_window, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":287 + * if len(item_ids) >= self.min_user_freq: + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: # <<<<<<<<<<<<<< + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + */ + { /* enter inner scope */ + __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 287, __pyx_L14_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_12 = PyObject_Length(__pyx_v_item_ids); if (unlikely(__pyx_t_12 == ((Py_ssize_t)-1))) __PYX_ERR(0, 287, __pyx_L14_error) + __pyx_t_1 = PyInt_FromSsize_t(__pyx_t_12); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 287, __pyx_L14_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_7 = PyNumber_Subtract(__pyx_t_1, __pyx_v_window); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 287, __pyx_L14_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_t_7, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 287, __pyx_L14_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyObject_CallOneArg(__pyx_builtin_range, __pyx_t_1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 287, __pyx_L14_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (likely(PyList_CheckExact(__pyx_t_7)) || PyTuple_CheckExact(__pyx_t_7)) { + __pyx_t_1 = __pyx_t_7; __Pyx_INCREF(__pyx_t_1); __pyx_t_12 = 0; + __pyx_t_14 = NULL; + } else { + __pyx_t_12 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 287, __pyx_L14_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_14 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 287, __pyx_L14_error) + } + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + for (;;) { + if (likely(!__pyx_t_14)) { + if (likely(PyList_CheckExact(__pyx_t_1))) { + if (__pyx_t_12 >= PyList_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_7 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_12); __Pyx_INCREF(__pyx_t_7); __pyx_t_12++; if (unlikely(0 < 0)) __PYX_ERR(0, 287, __pyx_L14_error) + #else + __pyx_t_7 = PySequence_ITEM(__pyx_t_1, __pyx_t_12); __pyx_t_12++; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 287, __pyx_L14_error) + __Pyx_GOTREF(__pyx_t_7); + #endif + } else { + if (__pyx_t_12 >= PyTuple_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_7 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_12); __Pyx_INCREF(__pyx_t_7); __pyx_t_12++; if (unlikely(0 < 0)) __PYX_ERR(0, 287, __pyx_L14_error) + #else + __pyx_t_7 = PySequence_ITEM(__pyx_t_1, __pyx_t_12); __pyx_t_12++; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 287, __pyx_L14_error) + __Pyx_GOTREF(__pyx_t_7); + #endif + } + } else { + __pyx_t_7 = __pyx_t_14(__pyx_t_1); + if (unlikely(!__pyx_t_7)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 287, __pyx_L14_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_7); + } + __Pyx_XDECREF_SET(__pyx_8genexpr2__pyx_v_i, __pyx_t_7); + __pyx_t_7 = 0; + __pyx_t_7 = PyNumber_Add(__pyx_8genexpr2__pyx_v_i, __pyx_v_window); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 287, __pyx_L14_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_8 = __Pyx_PyObject_GetSlice(__pyx_v_item_ids, 0, 0, &__pyx_8genexpr2__pyx_v_i, &__pyx_t_7, NULL, 0, 0, 1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 287, __pyx_L14_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (unlikely(__Pyx_ListComp_Append(__pyx_t_3, (PyObject*)__pyx_t_8))) __PYX_ERR(0, 287, __pyx_L14_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_8genexpr2__pyx_v_i); __pyx_8genexpr2__pyx_v_i = 0; + goto __pyx_L17_exit_scope; + __pyx_L14_error:; + __Pyx_XDECREF(__pyx_8genexpr2__pyx_v_i); __pyx_8genexpr2__pyx_v_i = 0; + goto __pyx_L1_error; + __pyx_L17_exit_scope:; + } /* exit inner scope */ + __pyx_t_1 = __pyx_t_3; __Pyx_INCREF(__pyx_t_1); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + for (;;) { + if (__pyx_t_12 >= PyList_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_12); __Pyx_INCREF(__pyx_t_3); __pyx_t_12++; if (unlikely(0 < 0)) __PYX_ERR(0, 287, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_12); __pyx_t_12++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 287, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + __Pyx_XDECREF_SET(__pyx_v_sub_item_ids, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":288 + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): # <<<<<<<<<<<<<< + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + * continue + */ + __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_combinations); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = NULL; + __pyx_t_15 = 0; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_7)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_7); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + __pyx_t_15 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_8)) { + PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_v_sub_item_ids, __pyx_int_2}; + __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_15, 2+__pyx_t_15); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_GOTREF(__pyx_t_3); + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) { + PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_v_sub_item_ids, __pyx_int_2}; + __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_15, 2+__pyx_t_15); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_GOTREF(__pyx_t_3); + } else + #endif + { + __pyx_t_11 = PyTuple_New(2+__pyx_t_15); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + if (__pyx_t_7) { + __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_7); __pyx_t_7 = NULL; + } + __Pyx_INCREF(__pyx_v_sub_item_ids); + __Pyx_GIVEREF(__pyx_v_sub_item_ids); + PyTuple_SET_ITEM(__pyx_t_11, 0+__pyx_t_15, __pyx_v_sub_item_ids); + __Pyx_INCREF(__pyx_int_2); + __Pyx_GIVEREF(__pyx_int_2); + PyTuple_SET_ITEM(__pyx_t_11, 1+__pyx_t_15, __pyx_int_2); + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_11, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (likely(PyList_CheckExact(__pyx_t_3)) || PyTuple_CheckExact(__pyx_t_3)) { + __pyx_t_8 = __pyx_t_3; __Pyx_INCREF(__pyx_t_8); __pyx_t_16 = 0; + __pyx_t_14 = NULL; + } else { + __pyx_t_16 = -1; __pyx_t_8 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_14 = Py_TYPE(__pyx_t_8)->tp_iternext; if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 288, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + for (;;) { + if (likely(!__pyx_t_14)) { + if (likely(PyList_CheckExact(__pyx_t_8))) { + if (__pyx_t_16 >= PyList_GET_SIZE(__pyx_t_8)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyList_GET_ITEM(__pyx_t_8, __pyx_t_16); __Pyx_INCREF(__pyx_t_3); __pyx_t_16++; if (unlikely(0 < 0)) __PYX_ERR(0, 288, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_8, __pyx_t_16); __pyx_t_16++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + } else { + if (__pyx_t_16 >= PyTuple_GET_SIZE(__pyx_t_8)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_8, __pyx_t_16); __Pyx_INCREF(__pyx_t_3); __pyx_t_16++; if (unlikely(0 < 0)) __PYX_ERR(0, 288, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_8, __pyx_t_16); __pyx_t_16++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + } + } else { + __pyx_t_3 = __pyx_t_14(__pyx_t_8); + if (unlikely(!__pyx_t_3)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 288, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_3); + } + if ((likely(PyTuple_CheckExact(__pyx_t_3))) || (PyList_CheckExact(__pyx_t_3))) { + PyObject* sequence = __pyx_t_3; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 288, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_11 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_7 = PyTuple_GET_ITEM(sequence, 1); + } else { + __pyx_t_11 = PyList_GET_ITEM(sequence, 0); + __pyx_t_7 = PyList_GET_ITEM(sequence, 1); + } + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(__pyx_t_7); + #else + __pyx_t_11 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_7 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + #endif + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_10 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_9 = Py_TYPE(__pyx_t_10)->tp_iternext; + index = 0; __pyx_t_11 = __pyx_t_9(__pyx_t_10); if (unlikely(!__pyx_t_11)) goto __pyx_L20_unpacking_failed; + __Pyx_GOTREF(__pyx_t_11); + index = 1; __pyx_t_7 = __pyx_t_9(__pyx_t_10); if (unlikely(!__pyx_t_7)) goto __pyx_L20_unpacking_failed; + __Pyx_GOTREF(__pyx_t_7); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_9(__pyx_t_10), 2) < 0) __PYX_ERR(0, 288, __pyx_L1_error) + __pyx_t_9 = NULL; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + goto __pyx_L21_unpacking_done; + __pyx_L20_unpacking_failed:; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_9 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 288, __pyx_L1_error) + __pyx_L21_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_earlier_item_idx, __pyx_t_11); + __pyx_t_11 = 0; + __Pyx_XDECREF_SET(__pyx_v_later_item_idx, __pyx_t_7); + __pyx_t_7 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":289 + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): # <<<<<<<<<<<<<< + * continue + * chrono_purchased_pairs[(user_idx, earlier_item_idx, later_item_idx)] += 1 + */ + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_is_unk_item); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_7)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_7); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_3 = (__pyx_t_7) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_7, __pyx_v_earlier_item_idx) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_v_earlier_item_idx); + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_13 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_13 < 0)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (!__pyx_t_13) { + } else { + __pyx_t_4 = __pyx_t_13; + goto __pyx_L23_bool_binop_done; + } + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_is_unk_item); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_7); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_7, function); + } + } + __pyx_t_3 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_7, __pyx_t_11, __pyx_v_later_item_idx) : __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_v_later_item_idx); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_13 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_13 < 0)) __PYX_ERR(0, 289, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_4 = __pyx_t_13; + __pyx_L23_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":290 + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + * continue # <<<<<<<<<<<<<< + * chrono_purchased_pairs[(user_idx, earlier_item_idx, later_item_idx)] += 1 + * + */ + goto __pyx_L18_continue; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":289 + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): # <<<<<<<<<<<<<< + * continue + * chrono_purchased_pairs[(user_idx, earlier_item_idx, later_item_idx)] += 1 + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":291 + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + * continue + * chrono_purchased_pairs[(user_idx, earlier_item_idx, later_item_idx)] += 1 # <<<<<<<<<<<<<< + * + * pair_counts = Counter() + */ + __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 291, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_user_idx); + __Pyx_GIVEREF(__pyx_v_user_idx); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_user_idx); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_v_later_item_idx); + __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_chrono_purchased_pairs, __pyx_t_3); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 291, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_11 = __Pyx_PyInt_AddObjC(__pyx_t_7, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 291, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (unlikely(PyObject_SetItem(__pyx_v_chrono_purchased_pairs, __pyx_t_3, __pyx_t_11) < 0)) __PYX_ERR(0, 291, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":288 + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): # <<<<<<<<<<<<<< + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + * continue + */ + __pyx_L18_continue:; + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":287 + * if len(item_ids) >= self.min_user_freq: + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: # <<<<<<<<<<<<<< + * for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + * if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + */ + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":285 + * chrono_purchased_pairs = Counter() + * for user_idx, (item_ids, *_) in tqdm(data_set.chrono_user_data.items(), disable=not self.verbose, desc='Get purchased pairs'): + * if len(item_ids) >= self.min_user_freq: # <<<<<<<<<<<<<< + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + * for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":284 + * from tqdm import tqdm + * chrono_purchased_pairs = Counter() + * for user_idx, (item_ids, *_) in tqdm(data_set.chrono_user_data.items(), disable=not self.verbose, desc='Get purchased pairs'): # <<<<<<<<<<<<<< + * if len(item_ids) >= self.min_user_freq: + * window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + */ + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":293 + * chrono_purchased_pairs[(user_idx, earlier_item_idx, later_item_idx)] += 1 + * + * pair_counts = Counter() # <<<<<<<<<<<<<< + * common_aspect_counts = Counter() + * counted_pairs = set() + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_Counter); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 293, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_8 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_2 = (__pyx_t_8) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_8) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 293, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_pair_counts = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":294 + * + * pair_counts = Counter() + * common_aspect_counts = Counter() # <<<<<<<<<<<<<< + * counted_pairs = set() + * not_dominated_pairs = set() + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_Counter); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 294, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_8 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_2 = (__pyx_t_8) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_8) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 294, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_common_aspect_counts = __pyx_t_2; + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":295 + * pair_counts = Counter() + * common_aspect_counts = Counter() + * counted_pairs = set() # <<<<<<<<<<<<<< + * not_dominated_pairs = set() + * for (user_idx, earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), disable=not self.verbose, desc='Get skyline aspects'): + */ + __pyx_t_2 = PySet_New(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_v_counted_pairs = ((PyObject*)__pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":296 + * common_aspect_counts = Counter() + * counted_pairs = set() + * not_dominated_pairs = set() # <<<<<<<<<<<<<< + * for (user_idx, earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), disable=not self.verbose, desc='Get skyline aspects'): + * for k in range(self.train_set.sentiment.num_aspects - 1): # ignore rating at the last index + */ + __pyx_t_2 = PySet_New(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_v_not_dominated_pairs = ((PyObject*)__pyx_t_2); + __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":297 + * counted_pairs = set() + * not_dominated_pairs = set() + * for (user_idx, earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), disable=not self.verbose, desc='Get skyline aspects'): # <<<<<<<<<<<<<< + * for k in range(self.train_set.sentiment.num_aspects - 1): # ignore rating at the last index + * if user_item_aspect.get((user_idx, later_item_idx, k), 0) > user_item_aspect.get((user_idx, earlier_item_idx, k), 0): + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_chrono_purchased_pairs, __pyx_n_s_most_common); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_8 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_2 = (__pyx_t_8) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_8) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2); + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyBool_FromLong((!__pyx_t_4)); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_disable, __pyx_t_8) < 0) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_desc, __pyx_kp_u_Get_skyline_aspects) < 0) __PYX_ERR(0, 297, __pyx_L1_error) + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_v_tqdm, __pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + if (likely(PyList_CheckExact(__pyx_t_8)) || PyTuple_CheckExact(__pyx_t_8)) { + __pyx_t_2 = __pyx_t_8; __Pyx_INCREF(__pyx_t_2); __pyx_t_5 = 0; + __pyx_t_6 = NULL; + } else { + __pyx_t_5 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_t_8); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 297, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + for (;;) { + if (likely(!__pyx_t_6)) { + if (likely(PyList_CheckExact(__pyx_t_2))) { + if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_8 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_5); __Pyx_INCREF(__pyx_t_8); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 297, __pyx_L1_error) + #else + __pyx_t_8 = PySequence_ITEM(__pyx_t_2, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + #endif + } else { + if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_8 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_5); __Pyx_INCREF(__pyx_t_8); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 297, __pyx_L1_error) + #else + __pyx_t_8 = PySequence_ITEM(__pyx_t_2, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + #endif + } + } else { + __pyx_t_8 = __pyx_t_6(__pyx_t_2); + if (unlikely(!__pyx_t_8)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 297, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_8); + } + if ((likely(PyTuple_CheckExact(__pyx_t_8))) || (PyList_CheckExact(__pyx_t_8))) { + PyObject* sequence = __pyx_t_8; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 297, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_1 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 1); + } else { + __pyx_t_1 = PyList_GET_ITEM(sequence, 0); + __pyx_t_3 = PyList_GET_ITEM(sequence, 1); + } + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(__pyx_t_3); + #else + __pyx_t_1 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_11 = PyObject_GetIter(__pyx_t_8); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_9 = Py_TYPE(__pyx_t_11)->tp_iternext; + index = 0; __pyx_t_1 = __pyx_t_9(__pyx_t_11); if (unlikely(!__pyx_t_1)) goto __pyx_L27_unpacking_failed; + __Pyx_GOTREF(__pyx_t_1); + index = 1; __pyx_t_3 = __pyx_t_9(__pyx_t_11); if (unlikely(!__pyx_t_3)) goto __pyx_L27_unpacking_failed; + __Pyx_GOTREF(__pyx_t_3); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_9(__pyx_t_11), 2) < 0) __PYX_ERR(0, 297, __pyx_L1_error) + __pyx_t_9 = NULL; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + goto __pyx_L28_unpacking_done; + __pyx_L27_unpacking_failed:; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_9 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 297, __pyx_L1_error) + __pyx_L28_unpacking_done:; + } + if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) { + PyObject* sequence = __pyx_t_1; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 3)) { + if (size > 3) __Pyx_RaiseTooManyValuesError(3); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 297, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_11 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_7 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_10 = PyTuple_GET_ITEM(sequence, 2); + } else { + __pyx_t_11 = PyList_GET_ITEM(sequence, 0); + __pyx_t_7 = PyList_GET_ITEM(sequence, 1); + __pyx_t_10 = PyList_GET_ITEM(sequence, 2); + } + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(__pyx_t_7); + __Pyx_INCREF(__pyx_t_10); + #else + __pyx_t_11 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_7 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_10 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + #endif + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_17 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 297, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_9 = Py_TYPE(__pyx_t_17)->tp_iternext; + index = 0; __pyx_t_11 = __pyx_t_9(__pyx_t_17); if (unlikely(!__pyx_t_11)) goto __pyx_L29_unpacking_failed; + __Pyx_GOTREF(__pyx_t_11); + index = 1; __pyx_t_7 = __pyx_t_9(__pyx_t_17); if (unlikely(!__pyx_t_7)) goto __pyx_L29_unpacking_failed; + __Pyx_GOTREF(__pyx_t_7); + index = 2; __pyx_t_10 = __pyx_t_9(__pyx_t_17); if (unlikely(!__pyx_t_10)) goto __pyx_L29_unpacking_failed; + __Pyx_GOTREF(__pyx_t_10); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_9(__pyx_t_17), 3) < 0) __PYX_ERR(0, 297, __pyx_L1_error) + __pyx_t_9 = NULL; + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + goto __pyx_L30_unpacking_done; + __pyx_L29_unpacking_failed:; + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + __pyx_t_9 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 297, __pyx_L1_error) + __pyx_L30_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_user_idx, __pyx_t_11); + __pyx_t_11 = 0; + __Pyx_XDECREF_SET(__pyx_v_earlier_item_idx, __pyx_t_7); + __pyx_t_7 = 0; + __Pyx_XDECREF_SET(__pyx_v_later_item_idx, __pyx_t_10); + __pyx_t_10 = 0; + __Pyx_XDECREF_SET(__pyx_v_count, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":298 + * not_dominated_pairs = set() + * for (user_idx, earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), disable=not self.verbose, desc='Get skyline aspects'): + * for k in range(self.train_set.sentiment.num_aspects - 1): # ignore rating at the last index # <<<<<<<<<<<<<< + * if user_item_aspect.get((user_idx, later_item_idx, k), 0) > user_item_aspect.get((user_idx, earlier_item_idx, k), 0): + * pair_counts[(user_idx, earlier_item_idx, later_item_idx, k)] += count + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyInt_SubtractObjC(__pyx_t_8, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_builtin_range, __pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (likely(PyList_CheckExact(__pyx_t_8)) || PyTuple_CheckExact(__pyx_t_8)) { + __pyx_t_3 = __pyx_t_8; __Pyx_INCREF(__pyx_t_3); __pyx_t_12 = 0; + __pyx_t_14 = NULL; + } else { + __pyx_t_12 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_t_8); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_14 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 298, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + for (;;) { + if (likely(!__pyx_t_14)) { + if (likely(PyList_CheckExact(__pyx_t_3))) { + if (__pyx_t_12 >= PyList_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_8 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_12); __Pyx_INCREF(__pyx_t_8); __pyx_t_12++; if (unlikely(0 < 0)) __PYX_ERR(0, 298, __pyx_L1_error) + #else + __pyx_t_8 = PySequence_ITEM(__pyx_t_3, __pyx_t_12); __pyx_t_12++; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + #endif + } else { + if (__pyx_t_12 >= PyTuple_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_8 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_12); __Pyx_INCREF(__pyx_t_8); __pyx_t_12++; if (unlikely(0 < 0)) __PYX_ERR(0, 298, __pyx_L1_error) + #else + __pyx_t_8 = PySequence_ITEM(__pyx_t_3, __pyx_t_12); __pyx_t_12++; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 298, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + #endif + } + } else { + __pyx_t_8 = __pyx_t_14(__pyx_t_3); + if (unlikely(!__pyx_t_8)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 298, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_8); + } + __Pyx_XDECREF_SET(__pyx_v_k, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":299 + * for (user_idx, earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), disable=not self.verbose, desc='Get skyline aspects'): + * for k in range(self.train_set.sentiment.num_aspects - 1): # ignore rating at the last index + * if user_item_aspect.get((user_idx, later_item_idx, k), 0) > user_item_aspect.get((user_idx, earlier_item_idx, k), 0): # <<<<<<<<<<<<<< + * pair_counts[(user_idx, earlier_item_idx, later_item_idx, k)] += count + * not_dominated_pairs.add((user_idx, earlier_item_idx, later_item_idx)) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_user_item_aspect, __pyx_n_s_get); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_10 = PyTuple_New(3); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_INCREF(__pyx_v_user_idx); + __Pyx_GIVEREF(__pyx_v_user_idx); + PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_v_user_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_10, 1, __pyx_v_later_item_idx); + __Pyx_INCREF(__pyx_v_k); + __Pyx_GIVEREF(__pyx_v_k); + PyTuple_SET_ITEM(__pyx_t_10, 2, __pyx_v_k); + __pyx_t_7 = NULL; + __pyx_t_15 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_7)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_7); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + __pyx_t_15 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_1)) { + PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_t_10, __pyx_int_0}; + __pyx_t_8 = __Pyx_PyFunction_FastCall(__pyx_t_1, __pyx_temp+1-__pyx_t_15, 2+__pyx_t_15); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_1)) { + PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_t_10, __pyx_int_0}; + __pyx_t_8 = __Pyx_PyCFunction_FastCall(__pyx_t_1, __pyx_temp+1-__pyx_t_15, 2+__pyx_t_15); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + } else + #endif + { + __pyx_t_11 = PyTuple_New(2+__pyx_t_15); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + if (__pyx_t_7) { + __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_7); __pyx_t_7 = NULL; + } + __Pyx_GIVEREF(__pyx_t_10); + PyTuple_SET_ITEM(__pyx_t_11, 0+__pyx_t_15, __pyx_t_10); + __Pyx_INCREF(__pyx_int_0); + __Pyx_GIVEREF(__pyx_int_0); + PyTuple_SET_ITEM(__pyx_t_11, 1+__pyx_t_15, __pyx_int_0); + __pyx_t_10 = 0; + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_11, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_user_item_aspect, __pyx_n_s_get); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_10 = PyTuple_New(3); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_INCREF(__pyx_v_user_idx); + __Pyx_GIVEREF(__pyx_v_user_idx); + PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_v_user_idx); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_10, 1, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_k); + __Pyx_GIVEREF(__pyx_v_k); + PyTuple_SET_ITEM(__pyx_t_10, 2, __pyx_v_k); + __pyx_t_7 = NULL; + __pyx_t_15 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_7)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_7); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + __pyx_t_15 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_11)) { + PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_t_10, __pyx_int_0}; + __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_11, __pyx_temp+1-__pyx_t_15, 2+__pyx_t_15); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_11)) { + PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_t_10, __pyx_int_0}; + __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_11, __pyx_temp+1-__pyx_t_15, 2+__pyx_t_15); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + } else + #endif + { + __pyx_t_17 = PyTuple_New(2+__pyx_t_15); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_17); + if (__pyx_t_7) { + __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_17, 0, __pyx_t_7); __pyx_t_7 = NULL; + } + __Pyx_GIVEREF(__pyx_t_10); + PyTuple_SET_ITEM(__pyx_t_17, 0+__pyx_t_15, __pyx_t_10); + __Pyx_INCREF(__pyx_int_0); + __Pyx_GIVEREF(__pyx_int_0); + PyTuple_SET_ITEM(__pyx_t_17, 1+__pyx_t_15, __pyx_int_0); + __pyx_t_10 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_17, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0; + } + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = PyObject_RichCompare(__pyx_t_8, __pyx_t_1, Py_GT); __Pyx_XGOTREF(__pyx_t_11); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_11); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 299, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":300 + * for k in range(self.train_set.sentiment.num_aspects - 1): # ignore rating at the last index + * if user_item_aspect.get((user_idx, later_item_idx, k), 0) > user_item_aspect.get((user_idx, earlier_item_idx, k), 0): + * pair_counts[(user_idx, earlier_item_idx, later_item_idx, k)] += count # <<<<<<<<<<<<<< + * not_dominated_pairs.add((user_idx, earlier_item_idx, later_item_idx)) + * if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0 and (earlier_item_idx, later_item_idx) not in counted_pairs: + */ + __pyx_t_11 = PyTuple_New(4); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_user_idx); + __Pyx_GIVEREF(__pyx_v_user_idx); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_user_idx); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 2, __pyx_v_later_item_idx); + __Pyx_INCREF(__pyx_v_k); + __Pyx_GIVEREF(__pyx_v_k); + PyTuple_SET_ITEM(__pyx_t_11, 3, __pyx_v_k); + __pyx_t_1 = __Pyx_PyObject_GetItem(__pyx_v_pair_counts, __pyx_t_11); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_8 = PyNumber_InPlaceAdd(__pyx_t_1, __pyx_v_count); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(PyObject_SetItem(__pyx_v_pair_counts, __pyx_t_11, __pyx_t_8) < 0)) __PYX_ERR(0, 300, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":301 + * if user_item_aspect.get((user_idx, later_item_idx, k), 0) > user_item_aspect.get((user_idx, earlier_item_idx, k), 0): + * pair_counts[(user_idx, earlier_item_idx, later_item_idx, k)] += count + * not_dominated_pairs.add((user_idx, earlier_item_idx, later_item_idx)) # <<<<<<<<<<<<<< + * if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0 and (earlier_item_idx, later_item_idx) not in counted_pairs: + * common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 + */ + __pyx_t_11 = PyTuple_New(3); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_user_idx); + __Pyx_GIVEREF(__pyx_v_user_idx); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_user_idx); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 2, __pyx_v_later_item_idx); + __pyx_t_18 = PySet_Add(__pyx_v_not_dominated_pairs, __pyx_t_11); if (unlikely(__pyx_t_18 == ((int)-1))) __PYX_ERR(0, 301, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":299 + * for (user_idx, earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), disable=not self.verbose, desc='Get skyline aspects'): + * for k in range(self.train_set.sentiment.num_aspects - 1): # ignore rating at the last index + * if user_item_aspect.get((user_idx, later_item_idx, k), 0) > user_item_aspect.get((user_idx, earlier_item_idx, k), 0): # <<<<<<<<<<<<<< + * pair_counts[(user_idx, earlier_item_idx, later_item_idx, k)] += count + * not_dominated_pairs.add((user_idx, earlier_item_idx, later_item_idx)) + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":302 + * pair_counts[(user_idx, earlier_item_idx, later_item_idx, k)] += count + * not_dominated_pairs.add((user_idx, earlier_item_idx, later_item_idx)) + * if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0 and (earlier_item_idx, later_item_idx) not in counted_pairs: # <<<<<<<<<<<<<< + * common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 + * if (earlier_item_idx, later_item_idx) not in counted_pairs: + */ + __pyx_t_11 = PyTuple_New(2); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_k); + __Pyx_GIVEREF(__pyx_v_k); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_v_k); + __pyx_t_8 = __Pyx_PyObject_GetItem(__pyx_v_Y, __pyx_t_11); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = PyObject_RichCompare(__pyx_t_8, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_11); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_13 = __Pyx_PyObject_IsTrue(__pyx_t_11); if (unlikely(__pyx_t_13 < 0)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (__pyx_t_13) { + } else { + __pyx_t_4 = __pyx_t_13; + goto __pyx_L35_bool_binop_done; + } + __pyx_t_11 = PyTuple_New(2); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_later_item_idx); + __Pyx_INCREF(__pyx_v_k); + __Pyx_GIVEREF(__pyx_v_k); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_v_k); + __pyx_t_8 = __Pyx_PyObject_GetItem(__pyx_v_Y, __pyx_t_11); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = PyObject_RichCompare(__pyx_t_8, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_11); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_13 = __Pyx_PyObject_IsTrue(__pyx_t_11); if (unlikely(__pyx_t_13 < 0)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (__pyx_t_13) { + } else { + __pyx_t_4 = __pyx_t_13; + goto __pyx_L35_bool_binop_done; + } + __pyx_t_11 = PyTuple_New(2); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_v_later_item_idx); + __pyx_t_13 = (__Pyx_PySet_ContainsTF(__pyx_t_11, __pyx_v_counted_pairs, Py_NE)); if (unlikely(__pyx_t_13 < 0)) __PYX_ERR(0, 302, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_19 = (__pyx_t_13 != 0); + __pyx_t_4 = __pyx_t_19; + __pyx_L35_bool_binop_done:; + if (__pyx_t_4) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":303 + * not_dominated_pairs.add((user_idx, earlier_item_idx, later_item_idx)) + * if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0 and (earlier_item_idx, later_item_idx) not in counted_pairs: + * common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 # <<<<<<<<<<<<<< + * if (earlier_item_idx, later_item_idx) not in counted_pairs: + * counted_pairs.add((earlier_item_idx, later_item_idx)) + */ + __pyx_t_11 = PyTuple_New(2); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_v_later_item_idx); + __pyx_t_8 = __Pyx_PyObject_GetItem(__pyx_v_common_aspect_counts, __pyx_t_11); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_t_8, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (unlikely(PyObject_SetItem(__pyx_v_common_aspect_counts, __pyx_t_11, __pyx_t_1) < 0)) __PYX_ERR(0, 303, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":302 + * pair_counts[(user_idx, earlier_item_idx, later_item_idx, k)] += count + * not_dominated_pairs.add((user_idx, earlier_item_idx, later_item_idx)) + * if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0 and (earlier_item_idx, later_item_idx) not in counted_pairs: # <<<<<<<<<<<<<< + * common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 + * if (earlier_item_idx, later_item_idx) not in counted_pairs: + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":298 + * not_dominated_pairs = set() + * for (user_idx, earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), disable=not self.verbose, desc='Get skyline aspects'): + * for k in range(self.train_set.sentiment.num_aspects - 1): # ignore rating at the last index # <<<<<<<<<<<<<< + * if user_item_aspect.get((user_idx, later_item_idx, k), 0) > user_item_aspect.get((user_idx, earlier_item_idx, k), 0): + * pair_counts[(user_idx, earlier_item_idx, later_item_idx, k)] += count + */ + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":304 + * if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0 and (earlier_item_idx, later_item_idx) not in counted_pairs: + * common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 + * if (earlier_item_idx, later_item_idx) not in counted_pairs: # <<<<<<<<<<<<<< + * counted_pairs.add((earlier_item_idx, later_item_idx)) + * + */ + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_later_item_idx); + __pyx_t_4 = (__Pyx_PySet_ContainsTF(__pyx_t_3, __pyx_v_counted_pairs, Py_NE)); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 304, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_19 = (__pyx_t_4 != 0); + if (__pyx_t_19) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":305 + * common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 + * if (earlier_item_idx, later_item_idx) not in counted_pairs: + * counted_pairs.add((earlier_item_idx, later_item_idx)) # <<<<<<<<<<<<<< + * + * user_indices, earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [], [] + */ + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 305, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_later_item_idx); + __pyx_t_18 = PySet_Add(__pyx_v_counted_pairs, __pyx_t_3); if (unlikely(__pyx_t_18 == ((int)-1))) __PYX_ERR(0, 305, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":304 + * if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0 and (earlier_item_idx, later_item_idx) not in counted_pairs: + * common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 + * if (earlier_item_idx, later_item_idx) not in counted_pairs: # <<<<<<<<<<<<<< + * counted_pairs.add((earlier_item_idx, later_item_idx)) + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":297 + * counted_pairs = set() + * not_dominated_pairs = set() + * for (user_idx, earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), disable=not self.verbose, desc='Get skyline aspects'): # <<<<<<<<<<<<<< + * for k in range(self.train_set.sentiment.num_aspects - 1): # ignore rating at the last index + * if user_item_aspect.get((user_idx, later_item_idx, k), 0) > user_item_aspect.get((user_idx, earlier_item_idx, k), 0): + */ + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":307 + * counted_pairs.add((earlier_item_idx, later_item_idx)) + * + * user_indices, earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [], [] # <<<<<<<<<<<<<< + * for (user_idx, earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), disable=not self.verbose, desc='Enumerate index'): + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: + */ + __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 307, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 307, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_11 = PyList_New(0); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 307, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 307, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_8 = PyList_New(0); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 307, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_v_user_indices = __pyx_t_2; + __pyx_t_2 = 0; + __pyx_v_earlier_indices = __pyx_t_3; + __pyx_t_3 = 0; + __pyx_v_later_indices = __pyx_t_11; + __pyx_t_11 = 0; + __pyx_v_aspect_indices = __pyx_t_1; + __pyx_t_1 = 0; + __pyx_v_pair_freq = __pyx_t_8; + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":308 + * + * user_indices, earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [], [] + * for (user_idx, earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), disable=not self.verbose, desc='Enumerate index'): # <<<<<<<<<<<<<< + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: + * continue + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_pair_counts, __pyx_n_s_most_common); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_8 = (__pyx_t_11) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_11) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); + __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_19 = __Pyx_PyObject_IsTrue(__pyx_t_11); if (unlikely(__pyx_t_19 < 0)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyBool_FromLong((!__pyx_t_19)); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_disable, __pyx_t_11) < 0) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_desc, __pyx_kp_u_Enumerate_index) < 0) __PYX_ERR(0, 308, __pyx_L1_error) + __pyx_t_11 = __Pyx_PyObject_Call(__pyx_v_tqdm, __pyx_t_1, __pyx_t_8); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (likely(PyList_CheckExact(__pyx_t_11)) || PyTuple_CheckExact(__pyx_t_11)) { + __pyx_t_8 = __pyx_t_11; __Pyx_INCREF(__pyx_t_8); __pyx_t_5 = 0; + __pyx_t_6 = NULL; + } else { + __pyx_t_5 = -1; __pyx_t_8 = PyObject_GetIter(__pyx_t_11); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_6 = Py_TYPE(__pyx_t_8)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 308, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + for (;;) { + if (likely(!__pyx_t_6)) { + if (likely(PyList_CheckExact(__pyx_t_8))) { + if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_8)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_11 = PyList_GET_ITEM(__pyx_t_8, __pyx_t_5); __Pyx_INCREF(__pyx_t_11); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 308, __pyx_L1_error) + #else + __pyx_t_11 = PySequence_ITEM(__pyx_t_8, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + #endif + } else { + if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_8)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_11 = PyTuple_GET_ITEM(__pyx_t_8, __pyx_t_5); __Pyx_INCREF(__pyx_t_11); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 308, __pyx_L1_error) + #else + __pyx_t_11 = PySequence_ITEM(__pyx_t_8, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + #endif + } + } else { + __pyx_t_11 = __pyx_t_6(__pyx_t_8); + if (unlikely(!__pyx_t_11)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 308, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_11); + } + if ((likely(PyTuple_CheckExact(__pyx_t_11))) || (PyList_CheckExact(__pyx_t_11))) { + PyObject* sequence = __pyx_t_11; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 308, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_1 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 1); + } else { + __pyx_t_1 = PyList_GET_ITEM(sequence, 0); + __pyx_t_3 = PyList_GET_ITEM(sequence, 1); + } + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(__pyx_t_3); + #else + __pyx_t_1 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_2 = PyObject_GetIter(__pyx_t_11); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_9 = Py_TYPE(__pyx_t_2)->tp_iternext; + index = 0; __pyx_t_1 = __pyx_t_9(__pyx_t_2); if (unlikely(!__pyx_t_1)) goto __pyx_L41_unpacking_failed; + __Pyx_GOTREF(__pyx_t_1); + index = 1; __pyx_t_3 = __pyx_t_9(__pyx_t_2); if (unlikely(!__pyx_t_3)) goto __pyx_L41_unpacking_failed; + __Pyx_GOTREF(__pyx_t_3); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_9(__pyx_t_2), 2) < 0) __PYX_ERR(0, 308, __pyx_L1_error) + __pyx_t_9 = NULL; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + goto __pyx_L42_unpacking_done; + __pyx_L41_unpacking_failed:; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_9 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 308, __pyx_L1_error) + __pyx_L42_unpacking_done:; + } + if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) { + PyObject* sequence = __pyx_t_1; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 4)) { + if (size > 4) __Pyx_RaiseTooManyValuesError(4); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 308, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_2 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_17 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_10 = PyTuple_GET_ITEM(sequence, 2); + __pyx_t_7 = PyTuple_GET_ITEM(sequence, 3); + } else { + __pyx_t_2 = PyList_GET_ITEM(sequence, 0); + __pyx_t_17 = PyList_GET_ITEM(sequence, 1); + __pyx_t_10 = PyList_GET_ITEM(sequence, 2); + __pyx_t_7 = PyList_GET_ITEM(sequence, 3); + } + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(__pyx_t_17); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(__pyx_t_7); + #else + { + Py_ssize_t i; + PyObject** temps[4] = {&__pyx_t_2,&__pyx_t_17,&__pyx_t_10,&__pyx_t_7}; + for (i=0; i < 4; i++) { + PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(item); + *(temps[i]) = item; + } + } + #endif + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else { + Py_ssize_t index = -1; + PyObject** temps[4] = {&__pyx_t_2,&__pyx_t_17,&__pyx_t_10,&__pyx_t_7}; + __pyx_t_20 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 308, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_20); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_9 = Py_TYPE(__pyx_t_20)->tp_iternext; + for (index=0; index < 4; index++) { + PyObject* item = __pyx_t_9(__pyx_t_20); if (unlikely(!item)) goto __pyx_L43_unpacking_failed; + __Pyx_GOTREF(item); + *(temps[index]) = item; + } + if (__Pyx_IternextUnpackEndCheck(__pyx_t_9(__pyx_t_20), 4) < 0) __PYX_ERR(0, 308, __pyx_L1_error) + __pyx_t_9 = NULL; + __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0; + goto __pyx_L44_unpacking_done; + __pyx_L43_unpacking_failed:; + __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0; + __pyx_t_9 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 308, __pyx_L1_error) + __pyx_L44_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_user_idx, __pyx_t_2); + __pyx_t_2 = 0; + __Pyx_XDECREF_SET(__pyx_v_earlier_item_idx, __pyx_t_17); + __pyx_t_17 = 0; + __Pyx_XDECREF_SET(__pyx_v_later_item_idx, __pyx_t_10); + __pyx_t_10 = 0; + __Pyx_XDECREF_SET(__pyx_v_aspect_idx, __pyx_t_7); + __pyx_t_7 = 0; + __Pyx_XDECREF_SET(__pyx_v_count, __pyx_t_3); + __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":309 + * user_indices, earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [], [] + * for (user_idx, earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), disable=not self.verbose, desc='Enumerate index'): + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: # <<<<<<<<<<<<<< + * continue + * user_indices.append(user_idx) + */ + __pyx_t_11 = PyTuple_New(2); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 309, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_earlier_item_idx); + __Pyx_GIVEREF(__pyx_v_earlier_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_earlier_item_idx); + __Pyx_INCREF(__pyx_v_later_item_idx); + __Pyx_GIVEREF(__pyx_v_later_item_idx); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_v_later_item_idx); + __pyx_t_3 = __Pyx_PyObject_GetItem(__pyx_v_common_aspect_counts, __pyx_t_11); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 309, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_common_freq); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 309, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_1 = PyObject_RichCompare(__pyx_t_3, __pyx_t_11, Py_LT); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 309, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_19 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_19 < 0)) __PYX_ERR(0, 309, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (__pyx_t_19) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":310 + * for (user_idx, earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), disable=not self.verbose, desc='Enumerate index'): + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: + * continue # <<<<<<<<<<<<<< + * user_indices.append(user_idx) + * earlier_indices.append(earlier_item_idx) + */ + goto __pyx_L39_continue; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":309 + * user_indices, earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [], [] + * for (user_idx, earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), disable=not self.verbose, desc='Enumerate index'): + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: # <<<<<<<<<<<<<< + * continue + * user_indices.append(user_idx) + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":311 + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: + * continue + * user_indices.append(user_idx) # <<<<<<<<<<<<<< + * earlier_indices.append(earlier_item_idx) + * later_indices.append(later_item_idx) + */ + __pyx_t_18 = __Pyx_PyObject_Append(__pyx_v_user_indices, __pyx_v_user_idx); if (unlikely(__pyx_t_18 == ((int)-1))) __PYX_ERR(0, 311, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":312 + * continue + * user_indices.append(user_idx) + * earlier_indices.append(earlier_item_idx) # <<<<<<<<<<<<<< + * later_indices.append(later_item_idx) + * aspect_indices.append(aspect_idx) + */ + __pyx_t_18 = __Pyx_PyObject_Append(__pyx_v_earlier_indices, __pyx_v_earlier_item_idx); if (unlikely(__pyx_t_18 == ((int)-1))) __PYX_ERR(0, 312, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":313 + * user_indices.append(user_idx) + * earlier_indices.append(earlier_item_idx) + * later_indices.append(later_item_idx) # <<<<<<<<<<<<<< + * aspect_indices.append(aspect_idx) + * pair_freq.append(count) + */ + __pyx_t_18 = __Pyx_PyObject_Append(__pyx_v_later_indices, __pyx_v_later_item_idx); if (unlikely(__pyx_t_18 == ((int)-1))) __PYX_ERR(0, 313, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":314 + * earlier_indices.append(earlier_item_idx) + * later_indices.append(later_item_idx) + * aspect_indices.append(aspect_idx) # <<<<<<<<<<<<<< + * pair_freq.append(count) + * + */ + __pyx_t_18 = __Pyx_PyObject_Append(__pyx_v_aspect_indices, __pyx_v_aspect_idx); if (unlikely(__pyx_t_18 == ((int)-1))) __PYX_ERR(0, 314, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":315 + * later_indices.append(later_item_idx) + * aspect_indices.append(aspect_idx) + * pair_freq.append(count) # <<<<<<<<<<<<<< + * + * user_indices = np.asarray(user_indices, dtype=np.int32).flatten() + */ + __pyx_t_18 = __Pyx_PyObject_Append(__pyx_v_pair_freq, __pyx_v_count); if (unlikely(__pyx_t_18 == ((int)-1))) __PYX_ERR(0, 315, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":308 + * + * user_indices, earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [], [] + * for (user_idx, earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), disable=not self.verbose, desc='Enumerate index'): # <<<<<<<<<<<<<< + * if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: + * continue + */ + __pyx_L39_continue:; + } + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":317 + * pair_freq.append(count) + * + * user_indices = np.asarray(user_indices, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * earlier_indices = np.asarray(earlier_indices, dtype=np.int32).flatten() + * later_indices = np.asarray(later_indices, dtype=np.int32).flatten() + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_asarray); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_user_indices); + __Pyx_GIVEREF(__pyx_v_user_indices); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_user_indices); + __pyx_t_3 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GetModuleGlobalName(__pyx_t_7, __pyx_n_s_np); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_int32); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_dtype, __pyx_t_10) < 0) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_1, __pyx_t_3); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_flatten); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_10)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_8 = (__pyx_t_10) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_10) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 317, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF_SET(__pyx_v_user_indices, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":318 + * + * user_indices = np.asarray(user_indices, dtype=np.int32).flatten() + * earlier_indices = np.asarray(earlier_indices, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * later_indices = np.asarray(later_indices, dtype=np.int32).flatten() + * aspect_indices = np.asarray(aspect_indices, dtype=np.int32).flatten() + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_asarray); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_earlier_indices); + __Pyx_GIVEREF(__pyx_v_earlier_indices); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_earlier_indices); + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_int32); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_7) < 0) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_10, __pyx_t_3, __pyx_t_1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_flatten); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_7)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_7); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_8 = (__pyx_t_7) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_7) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 318, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF_SET(__pyx_v_earlier_indices, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":319 + * user_indices = np.asarray(user_indices, dtype=np.int32).flatten() + * earlier_indices = np.asarray(earlier_indices, dtype=np.int32).flatten() + * later_indices = np.asarray(later_indices, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * aspect_indices = np.asarray(aspect_indices, dtype=np.int32).flatten() + * pair_freq = np.asarray(pair_freq, dtype=np.int32).flatten() + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_asarray); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_later_indices); + __Pyx_GIVEREF(__pyx_v_later_indices); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_later_indices); + __pyx_t_3 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_int32); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_dtype, __pyx_t_11) < 0) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_1, __pyx_t_3); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_flatten); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_8 = (__pyx_t_11) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_11) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 319, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF_SET(__pyx_v_later_indices, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":320 + * earlier_indices = np.asarray(earlier_indices, dtype=np.int32).flatten() + * later_indices = np.asarray(later_indices, dtype=np.int32).flatten() + * aspect_indices = np.asarray(aspect_indices, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * pair_freq = np.asarray(pair_freq, dtype=np.int32).flatten() + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_asarray); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_aspect_indices); + __Pyx_GIVEREF(__pyx_v_aspect_indices); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_aspect_indices); + __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GetModuleGlobalName(__pyx_t_7, __pyx_n_s_np); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_int32); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_10) < 0) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_3, __pyx_t_1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_flatten); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_10)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_8 = (__pyx_t_10) ? __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_10) : __Pyx_PyObject_CallNoArg(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 320, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF_SET(__pyx_v_aspect_indices, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":321 + * later_indices = np.asarray(later_indices, dtype=np.int32).flatten() + * aspect_indices = np.asarray(aspect_indices, dtype=np.int32).flatten() + * pair_freq = np.asarray(pair_freq, dtype=np.int32).flatten() # <<<<<<<<<<<<<< + * + * if self.verbose: + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 321, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_asarray); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 321, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 321, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_pair_freq); + __Pyx_GIVEREF(__pyx_v_pair_freq); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_pair_freq); + __pyx_t_3 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 321, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 321, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_int32); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 321, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_dtype, __pyx_t_7) < 0) __PYX_ERR(0, 321, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_10, __pyx_t_1, __pyx_t_3); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 321, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_flatten); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 321, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_7)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_7); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_8 = (__pyx_t_7) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_7) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 321, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF_SET(__pyx_v_pair_freq, __pyx_t_8); + __pyx_t_8 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":323 + * pair_freq = np.asarray(pair_freq, dtype=np.int32).flatten() + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 323, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_19 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely(__pyx_t_19 < 0)) __PYX_ERR(0, 323, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + if (__pyx_t_19) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":324 + * + * if self.verbose: + * print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) # <<<<<<<<<<<<<< + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( + * self.min_pair_freq, + */ + __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_time); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 324, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_7 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_7)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_7); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_8 = (__pyx_t_7) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_7) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 324, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = PyNumber_Subtract(__pyx_t_8, __pyx_v_start_time); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 324, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_Building_chrono_purchared_items, __pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 324, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_8); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 324, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":325 + * if self.verbose: + * print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( # <<<<<<<<<<<<<< + * self.min_pair_freq, + * pair_freq[pair_freq>=self.min_pair_freq].shape[0], + */ + __pyx_t_3 = PyTuple_New(11); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 325, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = 0; + __pyx_t_21 = 127; + __Pyx_INCREF(__pyx_kp_u_Statistics_aspect_pairs); + __pyx_t_5 += 30; + __Pyx_GIVEREF(__pyx_kp_u_Statistics_aspect_pairs); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_u_Statistics_aspect_pairs); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":326 + * print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( + * self.min_pair_freq, # <<<<<<<<<<<<<< + * pair_freq[pair_freq>=self.min_pair_freq].shape[0], + * pair_freq.min(), + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_pair_freq); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 326, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_7 = __Pyx_PyObject_FormatAndDecref(__Pyx_PyNumber_IntOrLong(__pyx_t_8), __pyx_n_u_d); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 326, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_21 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_7) > __pyx_t_21) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_7) : __pyx_t_21; + __pyx_t_5 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_7); + __pyx_t_7 = 0; + __Pyx_INCREF(__pyx_kp_u__2); + __pyx_t_5 += 3; + __Pyx_GIVEREF(__pyx_kp_u__2); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_kp_u__2); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":327 + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( + * self.min_pair_freq, + * pair_freq[pair_freq>=self.min_pair_freq].shape[0], # <<<<<<<<<<<<<< + * pair_freq.min(), + * pair_freq.max(), + */ + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_min_pair_freq); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 327, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_8 = PyObject_RichCompare(__pyx_v_pair_freq, __pyx_t_7, Py_GE); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 327, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_pair_freq, __pyx_t_8); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 327, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_shape); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 327, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_GetItemInt(__pyx_t_8, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 327, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_FormatAndDecref(__Pyx_PyNumber_IntOrLong(__pyx_t_7), __pyx_n_u_d); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 327, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_21 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_8) > __pyx_t_21) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_8) : __pyx_t_21; + __pyx_t_5 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_8); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_3, 3, __pyx_t_8); + __pyx_t_8 = 0; + __Pyx_INCREF(__pyx_kp_u_min); + __pyx_t_5 += 6; + __Pyx_GIVEREF(__pyx_kp_u_min); + PyTuple_SET_ITEM(__pyx_t_3, 4, __pyx_kp_u_min); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":328 + * self.min_pair_freq, + * pair_freq[pair_freq>=self.min_pair_freq].shape[0], + * pair_freq.min(), # <<<<<<<<<<<<<< + * pair_freq.max(), + * pair_freq.mean())) + */ + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_pair_freq, __pyx_n_s_min_2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 328, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_7); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_7, function); + } + } + __pyx_t_8 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 328, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyObject_Format(__pyx_t_8, __pyx_kp_u_2f); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 328, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_21 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_7) > __pyx_t_21) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_7) : __pyx_t_21; + __pyx_t_5 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_3, 5, __pyx_t_7); + __pyx_t_7 = 0; + __Pyx_INCREF(__pyx_kp_u_max); + __pyx_t_5 += 7; + __Pyx_GIVEREF(__pyx_kp_u_max); + PyTuple_SET_ITEM(__pyx_t_3, 6, __pyx_kp_u_max); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":329 + * pair_freq[pair_freq>=self.min_pair_freq].shape[0], + * pair_freq.min(), + * pair_freq.max(), # <<<<<<<<<<<<<< + * pair_freq.mean())) + * print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_pair_freq, __pyx_n_s_max_2); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 329, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_7 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 329, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_Format(__pyx_t_7, __pyx_kp_u_2f); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 329, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_21 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_8) > __pyx_t_21) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_8) : __pyx_t_21; + __pyx_t_5 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_8); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_3, 7, __pyx_t_8); + __pyx_t_8 = 0; + __Pyx_INCREF(__pyx_kp_u_avg); + __pyx_t_5 += 7; + __Pyx_GIVEREF(__pyx_kp_u_avg); + PyTuple_SET_ITEM(__pyx_t_3, 8, __pyx_kp_u_avg); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":330 + * pair_freq.min(), + * pair_freq.max(), + * pair_freq.mean())) # <<<<<<<<<<<<<< + * print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( + * sum(chrono_purchased_pairs.values()), + */ + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_pair_freq, __pyx_n_s_mean); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 330, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_7); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_7, function); + } + } + __pyx_t_8 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 330, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyObject_Format(__pyx_t_8, __pyx_kp_u_2f); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 330, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_21 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_7) > __pyx_t_21) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_7) : __pyx_t_21; + __pyx_t_5 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_3, 9, __pyx_t_7); + __pyx_t_7 = 0; + __Pyx_INCREF(__pyx_kp_u__3); + __pyx_t_5 += 1; + __Pyx_GIVEREF(__pyx_kp_u__3); + PyTuple_SET_ITEM(__pyx_t_3, 10, __pyx_kp_u__3); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":325 + * if self.verbose: + * print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( # <<<<<<<<<<<<<< + * self.min_pair_freq, + * pair_freq[pair_freq>=self.min_pair_freq].shape[0], + */ + __pyx_t_7 = __Pyx_PyUnicode_Join(__pyx_t_3, 11, __pyx_t_5, __pyx_t_21); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 325, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_7); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 325, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":331 + * pair_freq.max(), + * pair_freq.mean())) + * print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( # <<<<<<<<<<<<<< + * sum(chrono_purchased_pairs.values()), + * len(chrono_purchased_pairs), + */ + __pyx_t_3 = PyTuple_New(8); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 331, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = 0; + __pyx_t_21 = 127; + __Pyx_INCREF(__pyx_kp_u_earlier_later_pairs); + __pyx_t_5 += 23; + __Pyx_GIVEREF(__pyx_kp_u_earlier_later_pairs); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_u_earlier_later_pairs); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":332 + * pair_freq.mean())) + * print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( + * sum(chrono_purchased_pairs.values()), # <<<<<<<<<<<<<< + * len(chrono_purchased_pairs), + * len(not_dominated_pairs), + */ + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_chrono_purchased_pairs, __pyx_n_s_values); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 332, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_1 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_8); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_8, function); + } + } + __pyx_t_7 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 332, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_builtin_sum, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 332, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyObject_FormatAndDecref(__Pyx_PyNumber_IntOrLong(__pyx_t_8), __pyx_n_u_d); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 332, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __pyx_t_21 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_7) > __pyx_t_21) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_7) : __pyx_t_21; + __pyx_t_5 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_7); + __pyx_t_7 = 0; + __Pyx_INCREF(__pyx_kp_u_unique_earlier_later_pairs); + __pyx_t_5 += 32; + __Pyx_GIVEREF(__pyx_kp_u_unique_earlier_later_pairs); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_kp_u_unique_earlier_later_pairs); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":333 + * print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( + * sum(chrono_purchased_pairs.values()), + * len(chrono_purchased_pairs), # <<<<<<<<<<<<<< + * len(not_dominated_pairs), + * len(pair_freq) + */ + __pyx_t_12 = PyObject_Length(__pyx_v_chrono_purchased_pairs); if (unlikely(__pyx_t_12 == ((Py_ssize_t)-1))) __PYX_ERR(0, 333, __pyx_L1_error) + __pyx_t_7 = __Pyx_PyUnicode_From_Py_ssize_t(__pyx_t_12, 0, ' ', 'd'); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 333, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_5 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_3, 3, __pyx_t_7); + __pyx_t_7 = 0; + __Pyx_INCREF(__pyx_kp_u_not_dominated_pairs); + __pyx_t_5 += 22; + __Pyx_GIVEREF(__pyx_kp_u_not_dominated_pairs); + PyTuple_SET_ITEM(__pyx_t_3, 4, __pyx_kp_u_not_dominated_pairs); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":334 + * sum(chrono_purchased_pairs.values()), + * len(chrono_purchased_pairs), + * len(not_dominated_pairs), # <<<<<<<<<<<<<< + * len(pair_freq) + * )) + */ + __pyx_t_12 = PySet_GET_SIZE(__pyx_v_not_dominated_pairs); if (unlikely(__pyx_t_12 == ((Py_ssize_t)-1))) __PYX_ERR(0, 334, __pyx_L1_error) + __pyx_t_7 = __Pyx_PyUnicode_From_Py_ssize_t(__pyx_t_12, 0, ' ', 'd'); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 334, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_5 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_3, 5, __pyx_t_7); + __pyx_t_7 = 0; + __Pyx_INCREF(__pyx_kp_u_comparable_pairs); + __pyx_t_5 += 21; + __Pyx_GIVEREF(__pyx_kp_u_comparable_pairs); + PyTuple_SET_ITEM(__pyx_t_3, 6, __pyx_kp_u_comparable_pairs); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":335 + * len(chrono_purchased_pairs), + * len(not_dominated_pairs), + * len(pair_freq) # <<<<<<<<<<<<<< + * )) + * + */ + __pyx_t_12 = PyObject_Length(__pyx_v_pair_freq); if (unlikely(__pyx_t_12 == ((Py_ssize_t)-1))) __PYX_ERR(0, 335, __pyx_L1_error) + __pyx_t_7 = __Pyx_PyUnicode_From_Py_ssize_t(__pyx_t_12, 0, ' ', 'd'); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 335, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_5 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_7); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_3, 7, __pyx_t_7); + __pyx_t_7 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":331 + * pair_freq.max(), + * pair_freq.mean())) + * print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( # <<<<<<<<<<<<<< + * sum(chrono_purchased_pairs.values()), + * len(chrono_purchased_pairs), + */ + __pyx_t_7 = __Pyx_PyUnicode_Join(__pyx_t_3, 8, __pyx_t_5, __pyx_t_21); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 331, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_7); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 331, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":323 + * pair_freq = np.asarray(pair_freq, dtype=np.int32).flatten() + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) + * print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":338 + * )) + * + * return user_indices, earlier_indices, later_indices, aspect_indices, pair_freq # <<<<<<<<<<<<<< + * + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_3 = PyTuple_New(5); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 338, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_user_indices); + __Pyx_GIVEREF(__pyx_v_user_indices); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_user_indices); + __Pyx_INCREF(__pyx_v_earlier_indices); + __Pyx_GIVEREF(__pyx_v_earlier_indices); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_earlier_indices); + __Pyx_INCREF(__pyx_v_later_indices); + __Pyx_GIVEREF(__pyx_v_later_indices); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_v_later_indices); + __Pyx_INCREF(__pyx_v_aspect_indices); + __Pyx_GIVEREF(__pyx_v_aspect_indices); + PyTuple_SET_ITEM(__pyx_t_3, 3, __pyx_v_aspect_indices); + __Pyx_INCREF(__pyx_v_pair_freq); + __Pyx_GIVEREF(__pyx_v_pair_freq); + PyTuple_SET_ITEM(__pyx_t_3, 4, __pyx_v_pair_freq); + __pyx_r = __pyx_t_3; + __pyx_t_3 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":280 + * ) + * + * def _build_chrono_purchased_pairs(self, data_set, user_item_aspect, Y): # <<<<<<<<<<<<<< + * start_time = time() + * from tqdm import tqdm + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_10); + __Pyx_XDECREF(__pyx_t_11); + __Pyx_XDECREF(__pyx_t_17); + __Pyx_XDECREF(__pyx_t_20); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._build_chrono_purchased_pairs", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_start_time); + __Pyx_XDECREF(__pyx_v_tqdm); + __Pyx_XDECREF(__pyx_v_chrono_purchased_pairs); + __Pyx_XDECREF(__pyx_v_user_idx); + __Pyx_XDECREF(__pyx_v_item_ids); + __Pyx_XDECREF(__pyx_v__); + __Pyx_XDECREF(__pyx_v_window); + __Pyx_XDECREF(__pyx_v_sub_item_ids); + __Pyx_XDECREF(__pyx_v_earlier_item_idx); + __Pyx_XDECREF(__pyx_v_later_item_idx); + __Pyx_XDECREF(__pyx_v_pair_counts); + __Pyx_XDECREF(__pyx_v_common_aspect_counts); + __Pyx_XDECREF(__pyx_v_counted_pairs); + __Pyx_XDECREF(__pyx_v_not_dominated_pairs); + __Pyx_XDECREF(__pyx_v_count); + __Pyx_XDECREF(__pyx_v_k); + __Pyx_XDECREF(__pyx_v_user_indices); + __Pyx_XDECREF(__pyx_v_earlier_indices); + __Pyx_XDECREF(__pyx_v_later_indices); + __Pyx_XDECREF(__pyx_v_aspect_indices); + __Pyx_XDECREF(__pyx_v_pair_freq); + __Pyx_XDECREF(__pyx_v_aspect_idx); + __Pyx_XDECREF(__pyx_8genexpr2__pyx_v_i); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_sub.pyx":342 + * + * + * def fit(self, train_set, val_set=None): # <<<<<<<<<<<<<< + * """Fit the model to observations. + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_9fit(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static char __pyx_doc_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_8fit[] = "Fit the model to observations.\n\n Parameters\n ----------\n train_set: :obj:`cornac.data.Dataset`, required\n User-Item preference data as well as additional modalities.\n\n val_set: :obj:`cornac.data.Dataset`, optional, default: None\n User-Item preference data for model selection purposes (e.g., early stopping).\n\n Returns\n -------\n self : object\n "; +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_9fit = {"fit", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_9fit, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_8fit}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_9fit(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + PyObject *__pyx_v_train_set = 0; + PyObject *__pyx_v_val_set = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("fit (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_train_set,&__pyx_n_s_val_set,0}; + PyObject* values[3] = {0,0,0}; + values[2] = ((PyObject *)((PyObject *)Py_None)); + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_train_set)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("fit", 0, 2, 3, 1); __PYX_ERR(0, 342, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_val_set); + if (value) { values[2] = value; kw_args--; } + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "fit") < 0)) __PYX_ERR(0, 342, __pyx_L3_error) + } + } else { + switch (PyTuple_GET_SIZE(__pyx_args)) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + break; + default: goto __pyx_L5_argtuple_error; + } + } + __pyx_v_self = values[0]; + __pyx_v_train_set = values[1]; + __pyx_v_val_set = values[2]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("fit", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 342, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub.fit", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_8fit(__pyx_self, __pyx_v_self, __pyx_v_train_set, __pyx_v_val_set); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_8fit(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_train_set, PyObject *__pyx_v_val_set) { + PyObject *__pyx_v_rating_matrix = NULL; + PyObject *__pyx_v_rating_dict = NULL; + PyObject *__pyx_v_user_item_aspect = NULL; + PyObject *__pyx_v_user_aspect_opinion = NULL; + PyObject *__pyx_v_item_aspect_opinion = NULL; + PyObject *__pyx_v_p_user_indices = NULL; + PyObject *__pyx_v_earlier_indices = NULL; + PyObject *__pyx_v_later_indices = NULL; + PyObject *__pyx_v_aspect_indices = NULL; + PyObject *__pyx_v_pair_freq = NULL; + PyObject *__pyx_v_X = NULL; + PyObject *__pyx_v_X_uids = NULL; + PyObject *__pyx_v_X_iids = NULL; + PyObject *__pyx_v_X_aids = NULL; + PyObject *__pyx_v_YU = NULL; + PyObject *__pyx_v_YU_uids = NULL; + PyObject *__pyx_v_YU_aids = NULL; + PyObject *__pyx_v_YU_oids = NULL; + PyObject *__pyx_v_YI = NULL; + PyObject *__pyx_v_YI_iids = NULL; + PyObject *__pyx_v_YI_aids = NULL; + PyObject *__pyx_v_YI_oids = NULL; + PyObject *__pyx_v_uid = NULL; + PyObject *__pyx_v_iid = NULL; + PyObject *__pyx_v_aid = NULL; + PyObject *__pyx_v_score = NULL; + PyObject *__pyx_v_oid = NULL; + PyObject *__pyx_v_user_counts = NULL; + PyObject *__pyx_v_user_ids = NULL; + PyObject *__pyx_v_neg_item_ids = NULL; + int __pyx_v_n_threads; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg = 0; + PyObject *__pyx_v_sgrad_G1 = NULL; + PyObject *__pyx_v_sgrad_G2 = NULL; + PyObject *__pyx_v_sgrad_G3 = NULL; + PyObject *__pyx_v_sgrad_U = NULL; + PyObject *__pyx_v_sgrad_I = NULL; + PyObject *__pyx_v_sgrad_A = NULL; + PyObject *__pyx_v_sgrad_O = NULL; + PyObject *__pyx_v_del_g1 = NULL; + PyObject *__pyx_v_del_g2 = NULL; + PyObject *__pyx_v_del_g3 = NULL; + PyObject *__pyx_v_del_u = NULL; + PyObject *__pyx_v_del_i = NULL; + PyObject *__pyx_v_del_a = NULL; + PyObject *__pyx_v_del_o = NULL; + PyObject *__pyx_v_del_g1_reg = NULL; + PyObject *__pyx_v_del_g2_reg = NULL; + PyObject *__pyx_v_del_g3_reg = NULL; + PyObject *__pyx_v_del_u_reg = NULL; + PyObject *__pyx_v_del_i_reg = NULL; + PyObject *__pyx_v_del_a_reg = NULL; + PyObject *__pyx_v_del_o_reg = NULL; + PyObject *__pyx_v_progress = NULL; + CYTHON_UNUSED PyObject *__pyx_v_epoch = NULL; + PyObject *__pyx_v_correct = NULL; + PyObject *__pyx_v_skipped = NULL; + PyObject *__pyx_v_loss = NULL; + PyObject *__pyx_v_bpr_loss = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + int __pyx_t_6; + int __pyx_t_7; + PyObject *__pyx_t_8 = NULL; + PyObject *__pyx_t_9 = NULL; + PyObject *__pyx_t_10 = NULL; + PyObject *__pyx_t_11 = NULL; + PyObject *__pyx_t_12 = NULL; + PyObject *__pyx_t_13 = NULL; + PyObject *__pyx_t_14 = NULL; + PyObject *__pyx_t_15 = NULL; + PyObject *(*__pyx_t_16)(PyObject *); + Py_ssize_t __pyx_t_17; + Py_ssize_t __pyx_t_18; + int __pyx_t_19; + int __pyx_t_20; + PyObject *__pyx_t_21 = NULL; + PyObject *__pyx_t_22 = NULL; + PyObject *__pyx_t_23 = NULL; + PyObject *__pyx_t_24 = NULL; + PyObject *(*__pyx_t_25)(PyObject *); + PyObject *__pyx_t_26 = NULL; + PyObject *__pyx_t_27 = NULL; + PyObject *__pyx_t_28 = NULL; + PyObject *__pyx_t_29 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("fit", 0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":357 + * self : object + * """ + * Recommender.fit(self, train_set, val_set) # <<<<<<<<<<<<<< + * + * self._init() + */ + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_Recommender); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 357, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_fit); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 357, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = NULL; + __pyx_t_4 = 0; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + __pyx_t_4 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_3)) { + PyObject *__pyx_temp[4] = {__pyx_t_2, __pyx_v_self, __pyx_v_train_set, __pyx_v_val_set}; + __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_4, 3+__pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 357, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_GOTREF(__pyx_t_1); + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) { + PyObject *__pyx_temp[4] = {__pyx_t_2, __pyx_v_self, __pyx_v_train_set, __pyx_v_val_set}; + __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_4, 3+__pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 357, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_GOTREF(__pyx_t_1); + } else + #endif + { + __pyx_t_5 = PyTuple_New(3+__pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 357, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (__pyx_t_2) { + __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_2); __pyx_t_2 = NULL; + } + __Pyx_INCREF(__pyx_v_self); + __Pyx_GIVEREF(__pyx_v_self); + PyTuple_SET_ITEM(__pyx_t_5, 0+__pyx_t_4, __pyx_v_self); + __Pyx_INCREF(__pyx_v_train_set); + __Pyx_GIVEREF(__pyx_v_train_set); + PyTuple_SET_ITEM(__pyx_t_5, 1+__pyx_t_4, __pyx_v_train_set); + __Pyx_INCREF(__pyx_v_val_set); + __Pyx_GIVEREF(__pyx_v_val_set); + PyTuple_SET_ITEM(__pyx_t_5, 2+__pyx_t_4, __pyx_v_val_set); + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 357, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":359 + * Recommender.fit(self, train_set, val_set) + * + * self._init() # <<<<<<<<<<<<<< + * + * if not self.trainable: + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_init_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 359, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_5) ? __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_5) : __Pyx_PyObject_CallNoArg(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 359, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":361 + * self._init() + * + * if not self.trainable: # <<<<<<<<<<<<<< + * return self + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_trainable); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 361, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(0, 361, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_7 = ((!__pyx_t_6) != 0); + if (__pyx_t_7) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":362 + * + * if not self.trainable: + * return self # <<<<<<<<<<<<<< + * + * ( + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_self); + __pyx_r = __pyx_v_self; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":361 + * self._init() + * + * if not self.trainable: # <<<<<<<<<<<<<< + * return self + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":371 + * item_aspect_opinion, + * p_user_indices, earlier_indices, later_indices, aspect_indices, pair_freq + * ) = self._build_data(train_set) # <<<<<<<<<<<<<< + * + * X, X_uids, X_iids, X_aids = [], [], [], [] + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_build_data); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 371, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_5, __pyx_v_train_set) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_v_train_set); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 371, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) { + PyObject* sequence = __pyx_t_1; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 10)) { + if (size > 10) __Pyx_RaiseTooManyValuesError(10); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 365, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_5 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_2 = PyTuple_GET_ITEM(sequence, 2); + __pyx_t_8 = PyTuple_GET_ITEM(sequence, 3); + __pyx_t_9 = PyTuple_GET_ITEM(sequence, 4); + __pyx_t_10 = PyTuple_GET_ITEM(sequence, 5); + __pyx_t_11 = PyTuple_GET_ITEM(sequence, 6); + __pyx_t_12 = PyTuple_GET_ITEM(sequence, 7); + __pyx_t_13 = PyTuple_GET_ITEM(sequence, 8); + __pyx_t_14 = PyTuple_GET_ITEM(sequence, 9); + } else { + __pyx_t_3 = PyList_GET_ITEM(sequence, 0); + __pyx_t_5 = PyList_GET_ITEM(sequence, 1); + __pyx_t_2 = PyList_GET_ITEM(sequence, 2); + __pyx_t_8 = PyList_GET_ITEM(sequence, 3); + __pyx_t_9 = PyList_GET_ITEM(sequence, 4); + __pyx_t_10 = PyList_GET_ITEM(sequence, 5); + __pyx_t_11 = PyList_GET_ITEM(sequence, 6); + __pyx_t_12 = PyList_GET_ITEM(sequence, 7); + __pyx_t_13 = PyList_GET_ITEM(sequence, 8); + __pyx_t_14 = PyList_GET_ITEM(sequence, 9); + } + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(__pyx_t_9); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(__pyx_t_14); + #else + { + Py_ssize_t i; + PyObject** temps[10] = {&__pyx_t_3,&__pyx_t_5,&__pyx_t_2,&__pyx_t_8,&__pyx_t_9,&__pyx_t_10,&__pyx_t_11,&__pyx_t_12,&__pyx_t_13,&__pyx_t_14}; + for (i=0; i < 10; i++) { + PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) __PYX_ERR(0, 365, __pyx_L1_error) + __Pyx_GOTREF(item); + *(temps[i]) = item; + } + } + #endif + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else { + Py_ssize_t index = -1; + PyObject** temps[10] = {&__pyx_t_3,&__pyx_t_5,&__pyx_t_2,&__pyx_t_8,&__pyx_t_9,&__pyx_t_10,&__pyx_t_11,&__pyx_t_12,&__pyx_t_13,&__pyx_t_14}; + __pyx_t_15 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 365, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_15); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_16 = Py_TYPE(__pyx_t_15)->tp_iternext; + for (index=0; index < 10; index++) { + PyObject* item = __pyx_t_16(__pyx_t_15); if (unlikely(!item)) goto __pyx_L4_unpacking_failed; + __Pyx_GOTREF(item); + *(temps[index]) = item; + } + if (__Pyx_IternextUnpackEndCheck(__pyx_t_16(__pyx_t_15), 10) < 0) __PYX_ERR(0, 365, __pyx_L1_error) + __pyx_t_16 = NULL; + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + goto __pyx_L5_unpacking_done; + __pyx_L4_unpacking_failed:; + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + __pyx_t_16 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 365, __pyx_L1_error) + __pyx_L5_unpacking_done:; + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":365 + * + * ( + * rating_matrix, # <<<<<<<<<<<<<< + * rating_dict, + * user_item_aspect, + */ + __pyx_v_rating_matrix = __pyx_t_3; + __pyx_t_3 = 0; + __pyx_v_rating_dict = __pyx_t_5; + __pyx_t_5 = 0; + __pyx_v_user_item_aspect = __pyx_t_2; + __pyx_t_2 = 0; + __pyx_v_user_aspect_opinion = __pyx_t_8; + __pyx_t_8 = 0; + __pyx_v_item_aspect_opinion = __pyx_t_9; + __pyx_t_9 = 0; + __pyx_v_p_user_indices = __pyx_t_10; + __pyx_t_10 = 0; + __pyx_v_earlier_indices = __pyx_t_11; + __pyx_t_11 = 0; + __pyx_v_later_indices = __pyx_t_12; + __pyx_t_12 = 0; + __pyx_v_aspect_indices = __pyx_t_13; + __pyx_t_13 = 0; + __pyx_v_pair_freq = __pyx_t_14; + __pyx_t_14 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":373 + * ) = self._build_data(train_set) + * + * X, X_uids, X_iids, X_aids = [], [], [], [] # <<<<<<<<<<<<<< + * YU, YU_uids, YU_aids, YU_oids = [], [], [], [] + * YI, YI_iids, YI_aids, YI_oids = [], [], [], [] + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 373, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_14 = PyList_New(0); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 373, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __pyx_t_13 = PyList_New(0); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 373, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_12 = PyList_New(0); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 373, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_v_X = __pyx_t_1; + __pyx_t_1 = 0; + __pyx_v_X_uids = __pyx_t_14; + __pyx_t_14 = 0; + __pyx_v_X_iids = __pyx_t_13; + __pyx_t_13 = 0; + __pyx_v_X_aids = __pyx_t_12; + __pyx_t_12 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":374 + * + * X, X_uids, X_iids, X_aids = [], [], [], [] + * YU, YU_uids, YU_aids, YU_oids = [], [], [], [] # <<<<<<<<<<<<<< + * YI, YI_iids, YI_aids, YI_oids = [], [], [], [] + * + */ + __pyx_t_12 = PyList_New(0); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 374, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_13 = PyList_New(0); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 374, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_14 = PyList_New(0); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 374, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 374, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_YU = __pyx_t_12; + __pyx_t_12 = 0; + __pyx_v_YU_uids = __pyx_t_13; + __pyx_t_13 = 0; + __pyx_v_YU_aids = __pyx_t_14; + __pyx_t_14 = 0; + __pyx_v_YU_oids = __pyx_t_1; + __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":375 + * X, X_uids, X_iids, X_aids = [], [], [], [] + * YU, YU_uids, YU_aids, YU_oids = [], [], [], [] + * YI, YI_iids, YI_aids, YI_oids = [], [], [], [] # <<<<<<<<<<<<<< + * + * for (uid, iid, aid), score in user_item_aspect.items(): + */ + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 375, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_14 = PyList_New(0); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 375, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __pyx_t_13 = PyList_New(0); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 375, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_12 = PyList_New(0); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 375, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_v_YI = __pyx_t_1; + __pyx_t_1 = 0; + __pyx_v_YI_iids = __pyx_t_14; + __pyx_t_14 = 0; + __pyx_v_YI_aids = __pyx_t_13; + __pyx_t_13 = 0; + __pyx_v_YI_oids = __pyx_t_12; + __pyx_t_12 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":377 + * YI, YI_iids, YI_aids, YI_oids = [], [], [], [] + * + * for (uid, iid, aid), score in user_item_aspect.items(): # <<<<<<<<<<<<<< + * X.append(score) + * X_uids.append(uid) + */ + __pyx_t_17 = 0; + if (unlikely(__pyx_v_user_item_aspect == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "items"); + __PYX_ERR(0, 377, __pyx_L1_error) + } + __pyx_t_13 = __Pyx_dict_iterator(__pyx_v_user_item_aspect, 0, __pyx_n_s_items, (&__pyx_t_18), (&__pyx_t_4)); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 377, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_XDECREF(__pyx_t_12); + __pyx_t_12 = __pyx_t_13; + __pyx_t_13 = 0; + while (1) { + __pyx_t_19 = __Pyx_dict_iter_next(__pyx_t_12, __pyx_t_18, &__pyx_t_17, &__pyx_t_13, &__pyx_t_14, NULL, __pyx_t_4); + if (unlikely(__pyx_t_19 == 0)) break; + if (unlikely(__pyx_t_19 == -1)) __PYX_ERR(0, 377, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_GOTREF(__pyx_t_14); + if ((likely(PyTuple_CheckExact(__pyx_t_13))) || (PyList_CheckExact(__pyx_t_13))) { + PyObject* sequence = __pyx_t_13; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 3)) { + if (size > 3) __Pyx_RaiseTooManyValuesError(3); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 377, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_1 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_11 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_10 = PyTuple_GET_ITEM(sequence, 2); + } else { + __pyx_t_1 = PyList_GET_ITEM(sequence, 0); + __pyx_t_11 = PyList_GET_ITEM(sequence, 1); + __pyx_t_10 = PyList_GET_ITEM(sequence, 2); + } + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(__pyx_t_10); + #else + __pyx_t_1 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 377, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_11 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 377, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_10 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 377, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + #endif + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_9 = PyObject_GetIter(__pyx_t_13); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 377, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_16 = Py_TYPE(__pyx_t_9)->tp_iternext; + index = 0; __pyx_t_1 = __pyx_t_16(__pyx_t_9); if (unlikely(!__pyx_t_1)) goto __pyx_L8_unpacking_failed; + __Pyx_GOTREF(__pyx_t_1); + index = 1; __pyx_t_11 = __pyx_t_16(__pyx_t_9); if (unlikely(!__pyx_t_11)) goto __pyx_L8_unpacking_failed; + __Pyx_GOTREF(__pyx_t_11); + index = 2; __pyx_t_10 = __pyx_t_16(__pyx_t_9); if (unlikely(!__pyx_t_10)) goto __pyx_L8_unpacking_failed; + __Pyx_GOTREF(__pyx_t_10); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_16(__pyx_t_9), 3) < 0) __PYX_ERR(0, 377, __pyx_L1_error) + __pyx_t_16 = NULL; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + goto __pyx_L9_unpacking_done; + __pyx_L8_unpacking_failed:; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_16 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 377, __pyx_L1_error) + __pyx_L9_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_uid, __pyx_t_1); + __pyx_t_1 = 0; + __Pyx_XDECREF_SET(__pyx_v_iid, __pyx_t_11); + __pyx_t_11 = 0; + __Pyx_XDECREF_SET(__pyx_v_aid, __pyx_t_10); + __pyx_t_10 = 0; + __Pyx_XDECREF_SET(__pyx_v_score, __pyx_t_14); + __pyx_t_14 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":378 + * + * for (uid, iid, aid), score in user_item_aspect.items(): + * X.append(score) # <<<<<<<<<<<<<< + * X_uids.append(uid) + * X_iids.append(iid) + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_X, __pyx_v_score); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 378, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":379 + * for (uid, iid, aid), score in user_item_aspect.items(): + * X.append(score) + * X_uids.append(uid) # <<<<<<<<<<<<<< + * X_iids.append(iid) + * X_aids.append(aid) + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_X_uids, __pyx_v_uid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 379, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":380 + * X.append(score) + * X_uids.append(uid) + * X_iids.append(iid) # <<<<<<<<<<<<<< + * X_aids.append(aid) + * + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_X_iids, __pyx_v_iid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 380, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":381 + * X_uids.append(uid) + * X_iids.append(iid) + * X_aids.append(aid) # <<<<<<<<<<<<<< + * + * for (uid, aid, oid), score in user_aspect_opinion.items(): + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_X_aids, __pyx_v_aid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 381, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":383 + * X_aids.append(aid) + * + * for (uid, aid, oid), score in user_aspect_opinion.items(): # <<<<<<<<<<<<<< + * YU.append(score) + * YU_uids.append(uid) + */ + __pyx_t_18 = 0; + if (unlikely(__pyx_v_user_aspect_opinion == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "items"); + __PYX_ERR(0, 383, __pyx_L1_error) + } + __pyx_t_14 = __Pyx_dict_iterator(__pyx_v_user_aspect_opinion, 0, __pyx_n_s_items, (&__pyx_t_17), (&__pyx_t_4)); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 383, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_XDECREF(__pyx_t_12); + __pyx_t_12 = __pyx_t_14; + __pyx_t_14 = 0; + while (1) { + __pyx_t_19 = __Pyx_dict_iter_next(__pyx_t_12, __pyx_t_17, &__pyx_t_18, &__pyx_t_14, &__pyx_t_13, NULL, __pyx_t_4); + if (unlikely(__pyx_t_19 == 0)) break; + if (unlikely(__pyx_t_19 == -1)) __PYX_ERR(0, 383, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_GOTREF(__pyx_t_13); + if ((likely(PyTuple_CheckExact(__pyx_t_14))) || (PyList_CheckExact(__pyx_t_14))) { + PyObject* sequence = __pyx_t_14; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 3)) { + if (size > 3) __Pyx_RaiseTooManyValuesError(3); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 383, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_10 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_11 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_1 = PyTuple_GET_ITEM(sequence, 2); + } else { + __pyx_t_10 = PyList_GET_ITEM(sequence, 0); + __pyx_t_11 = PyList_GET_ITEM(sequence, 1); + __pyx_t_1 = PyList_GET_ITEM(sequence, 2); + } + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(__pyx_t_1); + #else + __pyx_t_10 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 383, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_11 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 383, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_1 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 383, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + #endif + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_9 = PyObject_GetIter(__pyx_t_14); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 383, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __pyx_t_16 = Py_TYPE(__pyx_t_9)->tp_iternext; + index = 0; __pyx_t_10 = __pyx_t_16(__pyx_t_9); if (unlikely(!__pyx_t_10)) goto __pyx_L12_unpacking_failed; + __Pyx_GOTREF(__pyx_t_10); + index = 1; __pyx_t_11 = __pyx_t_16(__pyx_t_9); if (unlikely(!__pyx_t_11)) goto __pyx_L12_unpacking_failed; + __Pyx_GOTREF(__pyx_t_11); + index = 2; __pyx_t_1 = __pyx_t_16(__pyx_t_9); if (unlikely(!__pyx_t_1)) goto __pyx_L12_unpacking_failed; + __Pyx_GOTREF(__pyx_t_1); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_16(__pyx_t_9), 3) < 0) __PYX_ERR(0, 383, __pyx_L1_error) + __pyx_t_16 = NULL; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + goto __pyx_L13_unpacking_done; + __pyx_L12_unpacking_failed:; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_16 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 383, __pyx_L1_error) + __pyx_L13_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_uid, __pyx_t_10); + __pyx_t_10 = 0; + __Pyx_XDECREF_SET(__pyx_v_aid, __pyx_t_11); + __pyx_t_11 = 0; + __Pyx_XDECREF_SET(__pyx_v_oid, __pyx_t_1); + __pyx_t_1 = 0; + __Pyx_XDECREF_SET(__pyx_v_score, __pyx_t_13); + __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":384 + * + * for (uid, aid, oid), score in user_aspect_opinion.items(): + * YU.append(score) # <<<<<<<<<<<<<< + * YU_uids.append(uid) + * YU_aids.append(aid) + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_YU, __pyx_v_score); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 384, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":385 + * for (uid, aid, oid), score in user_aspect_opinion.items(): + * YU.append(score) + * YU_uids.append(uid) # <<<<<<<<<<<<<< + * YU_aids.append(aid) + * YU_oids.append(oid) + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_YU_uids, __pyx_v_uid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 385, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":386 + * YU.append(score) + * YU_uids.append(uid) + * YU_aids.append(aid) # <<<<<<<<<<<<<< + * YU_oids.append(oid) + * + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_YU_aids, __pyx_v_aid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 386, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":387 + * YU_uids.append(uid) + * YU_aids.append(aid) + * YU_oids.append(oid) # <<<<<<<<<<<<<< + * + * for (iid, aid, oid), score in item_aspect_opinion.items(): + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_YU_oids, __pyx_v_oid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 387, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":389 + * YU_oids.append(oid) + * + * for (iid, aid, oid), score in item_aspect_opinion.items(): # <<<<<<<<<<<<<< + * YI.append(score) + * YI_iids.append(iid) + */ + __pyx_t_17 = 0; + if (unlikely(__pyx_v_item_aspect_opinion == Py_None)) { + PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "items"); + __PYX_ERR(0, 389, __pyx_L1_error) + } + __pyx_t_13 = __Pyx_dict_iterator(__pyx_v_item_aspect_opinion, 0, __pyx_n_s_items, (&__pyx_t_18), (&__pyx_t_4)); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 389, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_XDECREF(__pyx_t_12); + __pyx_t_12 = __pyx_t_13; + __pyx_t_13 = 0; + while (1) { + __pyx_t_19 = __Pyx_dict_iter_next(__pyx_t_12, __pyx_t_18, &__pyx_t_17, &__pyx_t_13, &__pyx_t_14, NULL, __pyx_t_4); + if (unlikely(__pyx_t_19 == 0)) break; + if (unlikely(__pyx_t_19 == -1)) __PYX_ERR(0, 389, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_GOTREF(__pyx_t_14); + if ((likely(PyTuple_CheckExact(__pyx_t_13))) || (PyList_CheckExact(__pyx_t_13))) { + PyObject* sequence = __pyx_t_13; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 3)) { + if (size > 3) __Pyx_RaiseTooManyValuesError(3); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 389, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_1 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_11 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_10 = PyTuple_GET_ITEM(sequence, 2); + } else { + __pyx_t_1 = PyList_GET_ITEM(sequence, 0); + __pyx_t_11 = PyList_GET_ITEM(sequence, 1); + __pyx_t_10 = PyList_GET_ITEM(sequence, 2); + } + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(__pyx_t_10); + #else + __pyx_t_1 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 389, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_11 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 389, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_10 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 389, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + #endif + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + } else { + Py_ssize_t index = -1; + __pyx_t_9 = PyObject_GetIter(__pyx_t_13); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 389, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_16 = Py_TYPE(__pyx_t_9)->tp_iternext; + index = 0; __pyx_t_1 = __pyx_t_16(__pyx_t_9); if (unlikely(!__pyx_t_1)) goto __pyx_L16_unpacking_failed; + __Pyx_GOTREF(__pyx_t_1); + index = 1; __pyx_t_11 = __pyx_t_16(__pyx_t_9); if (unlikely(!__pyx_t_11)) goto __pyx_L16_unpacking_failed; + __Pyx_GOTREF(__pyx_t_11); + index = 2; __pyx_t_10 = __pyx_t_16(__pyx_t_9); if (unlikely(!__pyx_t_10)) goto __pyx_L16_unpacking_failed; + __Pyx_GOTREF(__pyx_t_10); + if (__Pyx_IternextUnpackEndCheck(__pyx_t_16(__pyx_t_9), 3) < 0) __PYX_ERR(0, 389, __pyx_L1_error) + __pyx_t_16 = NULL; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + goto __pyx_L17_unpacking_done; + __pyx_L16_unpacking_failed:; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_16 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 389, __pyx_L1_error) + __pyx_L17_unpacking_done:; + } + __Pyx_XDECREF_SET(__pyx_v_iid, __pyx_t_1); + __pyx_t_1 = 0; + __Pyx_XDECREF_SET(__pyx_v_aid, __pyx_t_11); + __pyx_t_11 = 0; + __Pyx_XDECREF_SET(__pyx_v_oid, __pyx_t_10); + __pyx_t_10 = 0; + __Pyx_XDECREF_SET(__pyx_v_score, __pyx_t_14); + __pyx_t_14 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":390 + * + * for (iid, aid, oid), score in item_aspect_opinion.items(): + * YI.append(score) # <<<<<<<<<<<<<< + * YI_iids.append(iid) + * YI_aids.append(aid) + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_YI, __pyx_v_score); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 390, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":391 + * for (iid, aid, oid), score in item_aspect_opinion.items(): + * YI.append(score) + * YI_iids.append(iid) # <<<<<<<<<<<<<< + * YI_aids.append(aid) + * YI_oids.append(oid) + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_YI_iids, __pyx_v_iid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 391, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":392 + * YI.append(score) + * YI_iids.append(iid) + * YI_aids.append(aid) # <<<<<<<<<<<<<< + * YI_oids.append(oid) + * + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_YI_aids, __pyx_v_aid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 392, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":393 + * YI_iids.append(iid) + * YI_aids.append(aid) + * YI_oids.append(oid) # <<<<<<<<<<<<<< + * + * X = np.array(X, dtype=np.float32) + */ + __pyx_t_20 = __Pyx_PyObject_Append(__pyx_v_YI_oids, __pyx_v_oid); if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 393, __pyx_L1_error) + } + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":395 + * YI_oids.append(oid) + * + * X = np.array(X, dtype=np.float32) # <<<<<<<<<<<<<< + * X_uids = np.array(X_uids, dtype=np.int32) + * X_iids = np.array(X_iids, dtype=np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_12, __pyx_n_s_np); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 395, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_array); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 395, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = PyTuple_New(1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 395, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_INCREF(__pyx_v_X); + __Pyx_GIVEREF(__pyx_v_X); + PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_v_X); + __pyx_t_13 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 395, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 395, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_float32); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 395, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + if (PyDict_SetItem(__pyx_t_13, __pyx_n_s_dtype, __pyx_t_11) < 0) __PYX_ERR(0, 395, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_Call(__pyx_t_14, __pyx_t_12, __pyx_t_13); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 395, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF_SET(__pyx_v_X, __pyx_t_11); + __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":396 + * + * X = np.array(X, dtype=np.float32) + * X_uids = np.array(X_uids, dtype=np.int32) # <<<<<<<<<<<<<< + * X_iids = np.array(X_iids, dtype=np.int32) + * X_aids = np.array(X_aids, dtype=np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 396, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_array); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 396, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = PyTuple_New(1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 396, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_X_uids); + __Pyx_GIVEREF(__pyx_v_X_uids); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_X_uids); + __pyx_t_12 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 396, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_GetModuleGlobalName(__pyx_t_14, __pyx_n_s_np); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 396, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_int32); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 396, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + if (PyDict_SetItem(__pyx_t_12, __pyx_n_s_dtype, __pyx_t_10) < 0) __PYX_ERR(0, 396, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_t_13, __pyx_t_11, __pyx_t_12); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 396, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF_SET(__pyx_v_X_uids, __pyx_t_10); + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":397 + * X = np.array(X, dtype=np.float32) + * X_uids = np.array(X_uids, dtype=np.int32) + * X_iids = np.array(X_iids, dtype=np.int32) # <<<<<<<<<<<<<< + * X_aids = np.array(X_aids, dtype=np.int32) + * YU = np.array(YU, dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_array); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = PyTuple_New(1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_INCREF(__pyx_v_X_iids); + __Pyx_GIVEREF(__pyx_v_X_iids); + PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_v_X_iids); + __pyx_t_11 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_int32); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + if (PyDict_SetItem(__pyx_t_11, __pyx_n_s_dtype, __pyx_t_14) < 0) __PYX_ERR(0, 397, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __pyx_t_14 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_10, __pyx_t_11); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF_SET(__pyx_v_X_iids, __pyx_t_14); + __pyx_t_14 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":398 + * X_uids = np.array(X_uids, dtype=np.int32) + * X_iids = np.array(X_iids, dtype=np.int32) + * X_aids = np.array(X_aids, dtype=np.int32) # <<<<<<<<<<<<<< + * YU = np.array(YU, dtype=np.float32) + * YU_uids = np.array(YU_uids, dtype=np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_14, __pyx_n_s_np); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 398, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_array); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 398, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __pyx_t_14 = PyTuple_New(1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 398, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_INCREF(__pyx_v_X_aids); + __Pyx_GIVEREF(__pyx_v_X_aids); + PyTuple_SET_ITEM(__pyx_t_14, 0, __pyx_v_X_aids); + __pyx_t_10 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 398, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_GetModuleGlobalName(__pyx_t_12, __pyx_n_s_np); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 398, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_int32); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 398, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + if (PyDict_SetItem(__pyx_t_10, __pyx_n_s_dtype, __pyx_t_13) < 0) __PYX_ERR(0, 398, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_14, __pyx_t_10); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 398, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF_SET(__pyx_v_X_aids, __pyx_t_13); + __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":399 + * X_iids = np.array(X_iids, dtype=np.int32) + * X_aids = np.array(X_aids, dtype=np.int32) + * YU = np.array(YU, dtype=np.float32) # <<<<<<<<<<<<<< + * YU_uids = np.array(YU_uids, dtype=np.int32) + * YU_aids = np.array(YU_aids, dtype=np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 399, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_array); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 399, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = PyTuple_New(1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 399, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_INCREF(__pyx_v_YU); + __Pyx_GIVEREF(__pyx_v_YU); + PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_v_YU); + __pyx_t_14 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 399, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 399, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_float32); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 399, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (PyDict_SetItem(__pyx_t_14, __pyx_n_s_dtype, __pyx_t_12) < 0) __PYX_ERR(0, 399, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = __Pyx_PyObject_Call(__pyx_t_10, __pyx_t_13, __pyx_t_14); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 399, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF_SET(__pyx_v_YU, __pyx_t_12); + __pyx_t_12 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":400 + * X_aids = np.array(X_aids, dtype=np.int32) + * YU = np.array(YU, dtype=np.float32) + * YU_uids = np.array(YU_uids, dtype=np.int32) # <<<<<<<<<<<<<< + * YU_aids = np.array(YU_aids, dtype=np.int32) + * YU_oids = np.array(YU_oids, dtype=np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_12, __pyx_n_s_np); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 400, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_array); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 400, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = PyTuple_New(1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 400, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_INCREF(__pyx_v_YU_uids); + __Pyx_GIVEREF(__pyx_v_YU_uids); + PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_v_YU_uids); + __pyx_t_13 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 400, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 400, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_int32); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 400, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + if (PyDict_SetItem(__pyx_t_13, __pyx_n_s_dtype, __pyx_t_11) < 0) __PYX_ERR(0, 400, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_Call(__pyx_t_14, __pyx_t_12, __pyx_t_13); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 400, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF_SET(__pyx_v_YU_uids, __pyx_t_11); + __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":401 + * YU = np.array(YU, dtype=np.float32) + * YU_uids = np.array(YU_uids, dtype=np.int32) + * YU_aids = np.array(YU_aids, dtype=np.int32) # <<<<<<<<<<<<<< + * YU_oids = np.array(YU_oids, dtype=np.int32) + * YI = np.array(YI, dtype=np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 401, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_array); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 401, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = PyTuple_New(1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 401, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_YU_aids); + __Pyx_GIVEREF(__pyx_v_YU_aids); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_YU_aids); + __pyx_t_12 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 401, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_GetModuleGlobalName(__pyx_t_14, __pyx_n_s_np); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 401, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_int32); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 401, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + if (PyDict_SetItem(__pyx_t_12, __pyx_n_s_dtype, __pyx_t_10) < 0) __PYX_ERR(0, 401, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_t_13, __pyx_t_11, __pyx_t_12); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 401, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF_SET(__pyx_v_YU_aids, __pyx_t_10); + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":402 + * YU_uids = np.array(YU_uids, dtype=np.int32) + * YU_aids = np.array(YU_aids, dtype=np.int32) + * YU_oids = np.array(YU_oids, dtype=np.int32) # <<<<<<<<<<<<<< + * YI = np.array(YI, dtype=np.float32) + * YI_iids = np.array(YI_iids, dtype=np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 402, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_array); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 402, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = PyTuple_New(1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 402, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_INCREF(__pyx_v_YU_oids); + __Pyx_GIVEREF(__pyx_v_YU_oids); + PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_v_YU_oids); + __pyx_t_11 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 402, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 402, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_int32); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 402, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + if (PyDict_SetItem(__pyx_t_11, __pyx_n_s_dtype, __pyx_t_14) < 0) __PYX_ERR(0, 402, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __pyx_t_14 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_10, __pyx_t_11); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 402, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF_SET(__pyx_v_YU_oids, __pyx_t_14); + __pyx_t_14 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":403 + * YU_aids = np.array(YU_aids, dtype=np.int32) + * YU_oids = np.array(YU_oids, dtype=np.int32) + * YI = np.array(YI, dtype=np.float32) # <<<<<<<<<<<<<< + * YI_iids = np.array(YI_iids, dtype=np.int32) + * YI_aids = np.array(YI_aids, dtype=np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_14, __pyx_n_s_np); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 403, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_array); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 403, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __pyx_t_14 = PyTuple_New(1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 403, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_INCREF(__pyx_v_YI); + __Pyx_GIVEREF(__pyx_v_YI); + PyTuple_SET_ITEM(__pyx_t_14, 0, __pyx_v_YI); + __pyx_t_10 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 403, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_GetModuleGlobalName(__pyx_t_12, __pyx_n_s_np); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 403, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_float32); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 403, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + if (PyDict_SetItem(__pyx_t_10, __pyx_n_s_dtype, __pyx_t_13) < 0) __PYX_ERR(0, 403, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_14, __pyx_t_10); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 403, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF_SET(__pyx_v_YI, __pyx_t_13); + __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":404 + * YU_oids = np.array(YU_oids, dtype=np.int32) + * YI = np.array(YI, dtype=np.float32) + * YI_iids = np.array(YI_iids, dtype=np.int32) # <<<<<<<<<<<<<< + * YI_aids = np.array(YI_aids, dtype=np.int32) + * YI_oids = np.array(YI_oids, dtype=np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 404, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_array); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 404, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = PyTuple_New(1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 404, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_INCREF(__pyx_v_YI_iids); + __Pyx_GIVEREF(__pyx_v_YI_iids); + PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_v_YI_iids); + __pyx_t_14 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 404, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 404, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_int32); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 404, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (PyDict_SetItem(__pyx_t_14, __pyx_n_s_dtype, __pyx_t_12) < 0) __PYX_ERR(0, 404, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = __Pyx_PyObject_Call(__pyx_t_10, __pyx_t_13, __pyx_t_14); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 404, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF_SET(__pyx_v_YI_iids, __pyx_t_12); + __pyx_t_12 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":405 + * YI = np.array(YI, dtype=np.float32) + * YI_iids = np.array(YI_iids, dtype=np.int32) + * YI_aids = np.array(YI_aids, dtype=np.int32) # <<<<<<<<<<<<<< + * YI_oids = np.array(YI_oids, dtype=np.int32) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_12, __pyx_n_s_np); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 405, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_array); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 405, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = PyTuple_New(1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 405, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_INCREF(__pyx_v_YI_aids); + __Pyx_GIVEREF(__pyx_v_YI_aids); + PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_v_YI_aids); + __pyx_t_13 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 405, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 405, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_int32); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 405, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + if (PyDict_SetItem(__pyx_t_13, __pyx_n_s_dtype, __pyx_t_11) < 0) __PYX_ERR(0, 405, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_Call(__pyx_t_14, __pyx_t_12, __pyx_t_13); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 405, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF_SET(__pyx_v_YI_aids, __pyx_t_11); + __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":406 + * YI_iids = np.array(YI_iids, dtype=np.int32) + * YI_aids = np.array(YI_aids, dtype=np.int32) + * YI_oids = np.array(YI_oids, dtype=np.int32) # <<<<<<<<<<<<<< + * + * user_counts = np.ediff1d(rating_matrix.indptr).astype(np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 406, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_array); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 406, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = PyTuple_New(1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 406, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_INCREF(__pyx_v_YI_oids); + __Pyx_GIVEREF(__pyx_v_YI_oids); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_v_YI_oids); + __pyx_t_12 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 406, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_GetModuleGlobalName(__pyx_t_14, __pyx_n_s_np); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 406, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_int32); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 406, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + if (PyDict_SetItem(__pyx_t_12, __pyx_n_s_dtype, __pyx_t_10) < 0) __PYX_ERR(0, 406, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_t_13, __pyx_t_11, __pyx_t_12); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 406, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF_SET(__pyx_v_YI_oids, __pyx_t_10); + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":408 + * YI_oids = np.array(YI_oids, dtype=np.int32) + * + * user_counts = np.ediff1d(rating_matrix.indptr).astype(np.int32) # <<<<<<<<<<<<<< + * user_ids = np.repeat(np.arange(self.train_set.num_users), user_counts).astype(np.int32) + * neg_item_ids = np.arange(train_set.num_items, dtype=np.int32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 408, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_ediff1d); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 408, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_rating_matrix, __pyx_n_s_indptr); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 408, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_14 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_14)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_14); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_12 = (__pyx_t_14) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_14, __pyx_t_11) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_11); + __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 408, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_astype); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 408, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_12, __pyx_n_s_np); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 408, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_int32); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 408, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_10 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_t_11) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_11); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 408, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_user_counts = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":409 + * + * user_counts = np.ediff1d(rating_matrix.indptr).astype(np.int32) + * user_ids = np.repeat(np.arange(self.train_set.num_users), user_counts).astype(np.int32) # <<<<<<<<<<<<<< + * neg_item_ids = np.arange(train_set.num_items, dtype=np.int32) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_repeat); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_14, __pyx_n_s_np); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_arange); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_14); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_num_users); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __pyx_t_14 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_1))) { + __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_1); + if (likely(__pyx_t_14)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1); + __Pyx_INCREF(__pyx_t_14); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_1, function); + } + } + __pyx_t_11 = (__pyx_t_14) ? __Pyx_PyObject_Call2Args(__pyx_t_1, __pyx_t_14, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = NULL; + __pyx_t_4 = 0; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_12))) { + __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_12); + if (likely(__pyx_t_1)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_12); + __Pyx_INCREF(__pyx_t_1); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_12, function); + __pyx_t_4 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_12)) { + PyObject *__pyx_temp[3] = {__pyx_t_1, __pyx_t_11, __pyx_v_user_counts}; + __pyx_t_13 = __Pyx_PyFunction_FastCall(__pyx_t_12, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_12)) { + PyObject *__pyx_temp[3] = {__pyx_t_1, __pyx_t_11, __pyx_v_user_counts}; + __pyx_t_13 = __Pyx_PyCFunction_FastCall(__pyx_t_12, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + } else + #endif + { + __pyx_t_9 = PyTuple_New(2+__pyx_t_4); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + if (__pyx_t_1) { + __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_1); __pyx_t_1 = NULL; + } + __Pyx_GIVEREF(__pyx_t_11); + PyTuple_SET_ITEM(__pyx_t_9, 0+__pyx_t_4, __pyx_t_11); + __Pyx_INCREF(__pyx_v_user_counts); + __Pyx_GIVEREF(__pyx_v_user_counts); + PyTuple_SET_ITEM(__pyx_t_9, 1+__pyx_t_4, __pyx_v_user_counts); + __pyx_t_11 = 0; + __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_9, NULL); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_astype); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_int32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_12))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_12); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_12); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_12, function); + } + } + __pyx_t_10 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_12, __pyx_t_13, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_12, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 409, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_v_user_ids = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":410 + * user_counts = np.ediff1d(rating_matrix.indptr).astype(np.int32) + * user_ids = np.repeat(np.arange(self.train_set.num_users), user_counts).astype(np.int32) + * neg_item_ids = np.arange(train_set.num_items, dtype=np.int32) # <<<<<<<<<<<<<< + * + * cdef: + */ + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_np); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 410, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_arange); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 410, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_train_set, __pyx_n_s_num_items); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 410, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_9 = PyTuple_New(1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 410, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_GIVEREF(__pyx_t_10); + PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_10); + __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 410, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 410, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_int32); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 410, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + if (PyDict_SetItem(__pyx_t_10, __pyx_n_s_dtype, __pyx_t_11) < 0) __PYX_ERR(0, 410, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_9, __pyx_t_10); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 410, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_v_neg_item_ids = __pyx_t_11; + __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":413 + * + * cdef: + * int n_threads = self.n_threads # <<<<<<<<<<<<<< + * RNGVector rng_pos_uia = RNGVector(n_threads, len(user_item_aspect) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_pos_uao = RNGVector(n_threads, len(user_aspect_opinion) - 1, self.rng.randint(2 ** 31)) + */ + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_threads); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 413, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_11); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 413, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_n_threads = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":414 + * cdef: + * int n_threads = self.n_threads + * RNGVector rng_pos_uia = RNGVector(n_threads, len(user_item_aspect) - 1, self.rng.randint(2 ** 31)) # <<<<<<<<<<<<<< + * RNGVector rng_pos_uao = RNGVector(n_threads, len(user_aspect_opinion) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_pos_iao = RNGVector(n_threads, len(item_aspect_opinion) - 1, self.rng.randint(2 ** 31)) + */ + __pyx_t_11 = __Pyx_PyInt_From_int(__pyx_v_n_threads); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 414, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_18 = PyObject_Length(__pyx_v_user_item_aspect); if (unlikely(__pyx_t_18 == ((Py_ssize_t)-1))) __PYX_ERR(0, 414, __pyx_L1_error) + __pyx_t_10 = PyInt_FromSsize_t((__pyx_t_18 - 1)); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 414, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_rng); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 414, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_randint); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 414, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_9 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_int_2147483648) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_int_2147483648); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 414, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = PyTuple_New(3); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 414, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_GIVEREF(__pyx_t_11); + PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_t_11); + __Pyx_GIVEREF(__pyx_t_10); + PyTuple_SET_ITEM(__pyx_t_13, 1, __pyx_t_10); + __Pyx_GIVEREF(__pyx_t_9); + PyTuple_SET_ITEM(__pyx_t_13, 2, __pyx_t_9); + __pyx_t_11 = 0; + __pyx_t_10 = 0; + __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector), __pyx_t_13, NULL); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 414, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_rng_pos_uia = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_t_9); + __pyx_t_9 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":415 + * int n_threads = self.n_threads + * RNGVector rng_pos_uia = RNGVector(n_threads, len(user_item_aspect) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_pos_uao = RNGVector(n_threads, len(user_aspect_opinion) - 1, self.rng.randint(2 ** 31)) # <<<<<<<<<<<<<< + * RNGVector rng_pos_iao = RNGVector(n_threads, len(item_aspect_opinion) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_pos_pair = RNGVector(n_threads, len(p_user_indices) - 1, self.rng.randint(2 ** 31)) + */ + __pyx_t_9 = __Pyx_PyInt_From_int(__pyx_v_n_threads); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 415, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_18 = PyObject_Length(__pyx_v_user_aspect_opinion); if (unlikely(__pyx_t_18 == ((Py_ssize_t)-1))) __PYX_ERR(0, 415, __pyx_L1_error) + __pyx_t_13 = PyInt_FromSsize_t((__pyx_t_18 - 1)); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 415, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_rng); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 415, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_randint); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 415, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_12))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_12); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_12); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_12, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_12, __pyx_t_11, __pyx_int_2147483648) : __Pyx_PyObject_CallOneArg(__pyx_t_12, __pyx_int_2147483648); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 415, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = PyTuple_New(3); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 415, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_GIVEREF(__pyx_t_9); + PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_9); + __Pyx_GIVEREF(__pyx_t_13); + PyTuple_SET_ITEM(__pyx_t_12, 1, __pyx_t_13); + __Pyx_GIVEREF(__pyx_t_10); + PyTuple_SET_ITEM(__pyx_t_12, 2, __pyx_t_10); + __pyx_t_9 = 0; + __pyx_t_13 = 0; + __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector), __pyx_t_12, NULL); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 415, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_v_rng_pos_uao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_t_10); + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":416 + * RNGVector rng_pos_uia = RNGVector(n_threads, len(user_item_aspect) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_pos_uao = RNGVector(n_threads, len(user_aspect_opinion) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_pos_iao = RNGVector(n_threads, len(item_aspect_opinion) - 1, self.rng.randint(2 ** 31)) # <<<<<<<<<<<<<< + * RNGVector rng_pos_pair = RNGVector(n_threads, len(p_user_indices) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_pos = RNGVector(n_threads, len(user_ids) - 1, self.rng.randint(2 ** 31)) + */ + __pyx_t_10 = __Pyx_PyInt_From_int(__pyx_v_n_threads); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 416, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_18 = PyObject_Length(__pyx_v_item_aspect_opinion); if (unlikely(__pyx_t_18 == ((Py_ssize_t)-1))) __PYX_ERR(0, 416, __pyx_L1_error) + __pyx_t_12 = PyInt_FromSsize_t((__pyx_t_18 - 1)); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 416, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_rng); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 416, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_randint); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 416, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_9)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_9); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_13 = (__pyx_t_9) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_9, __pyx_int_2147483648) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_int_2147483648); + __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 416, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = PyTuple_New(3); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 416, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_GIVEREF(__pyx_t_10); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_10); + __Pyx_GIVEREF(__pyx_t_12); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_t_12); + __Pyx_GIVEREF(__pyx_t_13); + PyTuple_SET_ITEM(__pyx_t_11, 2, __pyx_t_13); + __pyx_t_10 = 0; + __pyx_t_12 = 0; + __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector), __pyx_t_11, NULL); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 416, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_rng_pos_iao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_t_13); + __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":417 + * RNGVector rng_pos_uao = RNGVector(n_threads, len(user_aspect_opinion) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_pos_iao = RNGVector(n_threads, len(item_aspect_opinion) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_pos_pair = RNGVector(n_threads, len(p_user_indices) - 1, self.rng.randint(2 ** 31)) # <<<<<<<<<<<<<< + * RNGVector rng_pos = RNGVector(n_threads, len(user_ids) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_neg = RNGVector(n_threads, train_set.num_items - 1, self.rng.randint(2 ** 31)) + */ + __pyx_t_13 = __Pyx_PyInt_From_int(__pyx_v_n_threads); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 417, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_18 = PyObject_Length(__pyx_v_p_user_indices); if (unlikely(__pyx_t_18 == ((Py_ssize_t)-1))) __PYX_ERR(0, 417, __pyx_L1_error) + __pyx_t_11 = PyInt_FromSsize_t((__pyx_t_18 - 1)); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 417, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_rng); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 417, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_randint); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 417, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) { + __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_9); + if (likely(__pyx_t_10)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_9, function); + } + } + __pyx_t_12 = (__pyx_t_10) ? __Pyx_PyObject_Call2Args(__pyx_t_9, __pyx_t_10, __pyx_int_2147483648) : __Pyx_PyObject_CallOneArg(__pyx_t_9, __pyx_int_2147483648); + __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; + if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 417, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = PyTuple_New(3); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 417, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_GIVEREF(__pyx_t_13); + PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_13); + __Pyx_GIVEREF(__pyx_t_11); + PyTuple_SET_ITEM(__pyx_t_9, 1, __pyx_t_11); + __Pyx_GIVEREF(__pyx_t_12); + PyTuple_SET_ITEM(__pyx_t_9, 2, __pyx_t_12); + __pyx_t_13 = 0; + __pyx_t_11 = 0; + __pyx_t_12 = 0; + __pyx_t_12 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector), __pyx_t_9, NULL); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 417, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_v_rng_pos_pair = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_t_12); + __pyx_t_12 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":418 + * RNGVector rng_pos_iao = RNGVector(n_threads, len(item_aspect_opinion) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_pos_pair = RNGVector(n_threads, len(p_user_indices) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_pos = RNGVector(n_threads, len(user_ids) - 1, self.rng.randint(2 ** 31)) # <<<<<<<<<<<<<< + * RNGVector rng_neg = RNGVector(n_threads, train_set.num_items - 1, self.rng.randint(2 ** 31)) + * + */ + __pyx_t_12 = __Pyx_PyInt_From_int(__pyx_v_n_threads); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 418, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_18 = PyObject_Length(__pyx_v_user_ids); if (unlikely(__pyx_t_18 == ((Py_ssize_t)-1))) __PYX_ERR(0, 418, __pyx_L1_error) + __pyx_t_9 = PyInt_FromSsize_t((__pyx_t_18 - 1)); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 418, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_rng); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 418, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_randint); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 418, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_10))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_10); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_10); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_10, function); + } + } + __pyx_t_11 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_10, __pyx_t_13, __pyx_int_2147483648) : __Pyx_PyObject_CallOneArg(__pyx_t_10, __pyx_int_2147483648); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 418, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = PyTuple_New(3); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 418, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_GIVEREF(__pyx_t_12); + PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_12); + __Pyx_GIVEREF(__pyx_t_9); + PyTuple_SET_ITEM(__pyx_t_10, 1, __pyx_t_9); + __Pyx_GIVEREF(__pyx_t_11); + PyTuple_SET_ITEM(__pyx_t_10, 2, __pyx_t_11); + __pyx_t_12 = 0; + __pyx_t_9 = 0; + __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector), __pyx_t_10, NULL); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 418, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_v_rng_pos = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_t_11); + __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":419 + * RNGVector rng_pos_pair = RNGVector(n_threads, len(p_user_indices) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_pos = RNGVector(n_threads, len(user_ids) - 1, self.rng.randint(2 ** 31)) + * RNGVector rng_neg = RNGVector(n_threads, train_set.num_items - 1, self.rng.randint(2 ** 31)) # <<<<<<<<<<<<<< + * + * sgrad_G1 = np.zeros_like(self.G1).astype(np.float32) + */ + __pyx_t_11 = __Pyx_PyInt_From_int(__pyx_v_n_threads); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 419, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_train_set, __pyx_n_s_num_items); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 419, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_9 = __Pyx_PyInt_SubtractObjC(__pyx_t_10, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 419, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_rng); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 419, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_randint); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 419, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_10 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_int_2147483648) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_int_2147483648); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 419, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = PyTuple_New(3); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 419, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_GIVEREF(__pyx_t_11); + PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_t_11); + __Pyx_GIVEREF(__pyx_t_9); + PyTuple_SET_ITEM(__pyx_t_13, 1, __pyx_t_9); + __Pyx_GIVEREF(__pyx_t_10); + PyTuple_SET_ITEM(__pyx_t_13, 2, __pyx_t_10); + __pyx_t_11 = 0; + __pyx_t_9 = 0; + __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector), __pyx_t_13, NULL); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 419, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_rng_neg = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_t_10); + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":421 + * RNGVector rng_neg = RNGVector(n_threads, train_set.num_items - 1, self.rng.randint(2 ** 31)) + * + * sgrad_G1 = np.zeros_like(self.G1).astype(np.float32) # <<<<<<<<<<<<<< + * sgrad_G2 = np.zeros_like(self.G2).astype(np.float32) + * sgrad_G3 = np.zeros_like(self.G3).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_G1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_13 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_astype); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_10 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_13, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 421, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_sgrad_G1 = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":422 + * + * sgrad_G1 = np.zeros_like(self.G1).astype(np.float32) + * sgrad_G2 = np.zeros_like(self.G2).astype(np.float32) # <<<<<<<<<<<<<< + * sgrad_G3 = np.zeros_like(self.G3).astype(np.float32) + * sgrad_U = np.zeros_like(self.U).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 422, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 422, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_G2); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 422, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_11 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 422, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_astype); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 422, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 422, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 422, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_11, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 422, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_sgrad_G2 = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":423 + * sgrad_G1 = np.zeros_like(self.G1).astype(np.float32) + * sgrad_G2 = np.zeros_like(self.G2).astype(np.float32) + * sgrad_G3 = np.zeros_like(self.G3).astype(np.float32) # <<<<<<<<<<<<<< + * sgrad_U = np.zeros_like(self.U).astype(np.float32) + * sgrad_I = np.zeros_like(self.I).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_G3); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_13 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_astype); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_10 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_13, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_sgrad_G3 = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":424 + * sgrad_G2 = np.zeros_like(self.G2).astype(np.float32) + * sgrad_G3 = np.zeros_like(self.G3).astype(np.float32) + * sgrad_U = np.zeros_like(self.U).astype(np.float32) # <<<<<<<<<<<<<< + * sgrad_I = np.zeros_like(self.I).astype(np.float32) + * sgrad_A = np.zeros_like(self.A).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 424, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 424, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 424, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_11 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 424, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_astype); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 424, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 424, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 424, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_11, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 424, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_sgrad_U = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":425 + * sgrad_G3 = np.zeros_like(self.G3).astype(np.float32) + * sgrad_U = np.zeros_like(self.U).astype(np.float32) + * sgrad_I = np.zeros_like(self.I).astype(np.float32) # <<<<<<<<<<<<<< + * sgrad_A = np.zeros_like(self.A).astype(np.float32) + * sgrad_O = np.zeros_like(self.O).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 425, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 425, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_I); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 425, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_13 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 425, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_astype); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 425, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 425, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 425, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_10 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_13, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 425, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_sgrad_I = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":426 + * sgrad_U = np.zeros_like(self.U).astype(np.float32) + * sgrad_I = np.zeros_like(self.I).astype(np.float32) + * sgrad_A = np.zeros_like(self.A).astype(np.float32) # <<<<<<<<<<<<<< + * sgrad_O = np.zeros_like(self.O).astype(np.float32) + * del_g1 = np.zeros_like(self.G1).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_A); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_11 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_astype); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_11, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 426, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_sgrad_A = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":427 + * sgrad_I = np.zeros_like(self.I).astype(np.float32) + * sgrad_A = np.zeros_like(self.A).astype(np.float32) + * sgrad_O = np.zeros_like(self.O).astype(np.float32) # <<<<<<<<<<<<<< + * del_g1 = np.zeros_like(self.G1).astype(np.float32) + * del_g2 = np.zeros_like(self.G2).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_O); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_13 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_astype); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_10 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_13, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_sgrad_O = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":428 + * sgrad_A = np.zeros_like(self.A).astype(np.float32) + * sgrad_O = np.zeros_like(self.O).astype(np.float32) + * del_g1 = np.zeros_like(self.G1).astype(np.float32) # <<<<<<<<<<<<<< + * del_g2 = np.zeros_like(self.G2).astype(np.float32) + * del_g3 = np.zeros_like(self.G3).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 428, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 428, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_G1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 428, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_11 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 428, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_astype); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 428, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 428, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 428, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_11, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 428, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_del_g1 = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":429 + * sgrad_O = np.zeros_like(self.O).astype(np.float32) + * del_g1 = np.zeros_like(self.G1).astype(np.float32) + * del_g2 = np.zeros_like(self.G2).astype(np.float32) # <<<<<<<<<<<<<< + * del_g3 = np.zeros_like(self.G3).astype(np.float32) + * del_u = np.zeros_like(self.U).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 429, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 429, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_G2); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 429, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_13 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 429, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_astype); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 429, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 429, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 429, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_10 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_13, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 429, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_del_g2 = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":430 + * del_g1 = np.zeros_like(self.G1).astype(np.float32) + * del_g2 = np.zeros_like(self.G2).astype(np.float32) + * del_g3 = np.zeros_like(self.G3).astype(np.float32) # <<<<<<<<<<<<<< + * del_u = np.zeros_like(self.U).astype(np.float32) + * del_i = np.zeros_like(self.I).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 430, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 430, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_G3); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 430, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_11 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 430, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_astype); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 430, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 430, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 430, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_11, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 430, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_del_g3 = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":431 + * del_g2 = np.zeros_like(self.G2).astype(np.float32) + * del_g3 = np.zeros_like(self.G3).astype(np.float32) + * del_u = np.zeros_like(self.U).astype(np.float32) # <<<<<<<<<<<<<< + * del_i = np.zeros_like(self.I).astype(np.float32) + * del_a = np.zeros_like(self.A).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_13 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_astype); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_10 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_13, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 431, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_del_u = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":432 + * del_g3 = np.zeros_like(self.G3).astype(np.float32) + * del_u = np.zeros_like(self.U).astype(np.float32) + * del_i = np.zeros_like(self.I).astype(np.float32) # <<<<<<<<<<<<<< + * del_a = np.zeros_like(self.A).astype(np.float32) + * del_o = np.zeros_like(self.O).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 432, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 432, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_I); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 432, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_11 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 432, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_astype); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 432, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 432, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 432, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_11, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 432, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_del_i = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":433 + * del_u = np.zeros_like(self.U).astype(np.float32) + * del_i = np.zeros_like(self.I).astype(np.float32) + * del_a = np.zeros_like(self.A).astype(np.float32) # <<<<<<<<<<<<<< + * del_o = np.zeros_like(self.O).astype(np.float32) + * del_g1_reg = np.zeros_like(self.G1).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 433, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 433, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_A); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 433, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_13 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 433, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_astype); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 433, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 433, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 433, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_10 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_13, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 433, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_del_a = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":434 + * del_i = np.zeros_like(self.I).astype(np.float32) + * del_a = np.zeros_like(self.A).astype(np.float32) + * del_o = np.zeros_like(self.O).astype(np.float32) # <<<<<<<<<<<<<< + * del_g1_reg = np.zeros_like(self.G1).astype(np.float32) + * del_g2_reg = np.zeros_like(self.G2).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 434, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 434, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_O); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 434, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_11 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 434, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_astype); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 434, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 434, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 434, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_11, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 434, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_del_o = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":435 + * del_a = np.zeros_like(self.A).astype(np.float32) + * del_o = np.zeros_like(self.O).astype(np.float32) + * del_g1_reg = np.zeros_like(self.G1).astype(np.float32) # <<<<<<<<<<<<<< + * del_g2_reg = np.zeros_like(self.G2).astype(np.float32) + * del_g3_reg = np.zeros_like(self.G3).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_G1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_13 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_astype); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_10 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_13, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 435, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_del_g1_reg = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":436 + * del_o = np.zeros_like(self.O).astype(np.float32) + * del_g1_reg = np.zeros_like(self.G1).astype(np.float32) + * del_g2_reg = np.zeros_like(self.G2).astype(np.float32) # <<<<<<<<<<<<<< + * del_g3_reg = np.zeros_like(self.G3).astype(np.float32) + * del_u_reg = np.zeros_like(self.U).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_G2); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_11 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_astype); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_11, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 436, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_del_g2_reg = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":437 + * del_g1_reg = np.zeros_like(self.G1).astype(np.float32) + * del_g2_reg = np.zeros_like(self.G2).astype(np.float32) + * del_g3_reg = np.zeros_like(self.G3).astype(np.float32) # <<<<<<<<<<<<<< + * del_u_reg = np.zeros_like(self.U).astype(np.float32) + * del_i_reg = np.zeros_like(self.I).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 437, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 437, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_G3); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 437, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_13 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 437, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_astype); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 437, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 437, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 437, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_10 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_13, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 437, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_del_g3_reg = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":438 + * del_g2_reg = np.zeros_like(self.G2).astype(np.float32) + * del_g3_reg = np.zeros_like(self.G3).astype(np.float32) + * del_u_reg = np.zeros_like(self.U).astype(np.float32) # <<<<<<<<<<<<<< + * del_i_reg = np.zeros_like(self.I).astype(np.float32) + * del_a_reg = np.zeros_like(self.A).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 438, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 438, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 438, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_11 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 438, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_astype); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 438, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 438, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 438, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_11, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 438, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_del_u_reg = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":439 + * del_g3_reg = np.zeros_like(self.G3).astype(np.float32) + * del_u_reg = np.zeros_like(self.U).astype(np.float32) + * del_i_reg = np.zeros_like(self.I).astype(np.float32) # <<<<<<<<<<<<<< + * del_a_reg = np.zeros_like(self.A).astype(np.float32) + * del_o_reg = np.zeros_like(self.O).astype(np.float32) + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 439, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 439, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_I); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 439, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_13 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 439, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_astype); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 439, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 439, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 439, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_10 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_13, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 439, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_del_i_reg = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":440 + * del_u_reg = np.zeros_like(self.U).astype(np.float32) + * del_i_reg = np.zeros_like(self.I).astype(np.float32) + * del_a_reg = np.zeros_like(self.A).astype(np.float32) # <<<<<<<<<<<<<< + * del_o_reg = np.zeros_like(self.O).astype(np.float32) + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 440, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 440, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_A); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 440, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_11 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 440, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_astype); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 440, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 440, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 440, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_11)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_10 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_11, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 440, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_v_del_a_reg = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":441 + * del_i_reg = np.zeros_like(self.I).astype(np.float32) + * del_a_reg = np.zeros_like(self.A).astype(np.float32) + * del_o_reg = np.zeros_like(self.O).astype(np.float32) # <<<<<<<<<<<<<< + * + * with trange(self.max_iter, disable=not self.verbose) as progress: + */ + __Pyx_GetModuleGlobalName(__pyx_t_9, __pyx_n_s_np); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 441, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 441, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_O); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 441, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_13 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_12, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 441, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_astype); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 441, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 441, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_float32); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 441, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_13)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_13); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + } + } + __pyx_t_10 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_13, __pyx_t_9) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_9); + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 441, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_v_del_o_reg = __pyx_t_10; + __pyx_t_10 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":443 + * del_o_reg = np.zeros_like(self.O).astype(np.float32) + * + * with trange(self.max_iter, disable=not self.verbose) as progress: # <<<<<<<<<<<<<< + * for epoch in progress: + * correct, skipped, loss, bpr_loss = self._fit_mter( + */ + /*with:*/ { + __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_trange); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 443, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_max_iter); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 443, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_9 = PyTuple_New(1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 443, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_GIVEREF(__pyx_t_11); + PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_11); + __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 443, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 443, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_13); if (unlikely(__pyx_t_7 < 0)) __PYX_ERR(0, 443, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyBool_FromLong((!__pyx_t_7)); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 443, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + if (PyDict_SetItem(__pyx_t_11, __pyx_n_s_disable, __pyx_t_13) < 0) __PYX_ERR(0, 443, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_10, __pyx_t_9, __pyx_t_11); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 443, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_21 = __Pyx_PyObject_LookupSpecial(__pyx_t_13, __pyx_n_s_exit); if (unlikely(!__pyx_t_21)) __PYX_ERR(0, 443, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_21); + __pyx_t_9 = __Pyx_PyObject_LookupSpecial(__pyx_t_13, __pyx_n_s_enter); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 443, __pyx_L18_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_10 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) { + __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_9); + if (likely(__pyx_t_10)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9); + __Pyx_INCREF(__pyx_t_10); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_9, function); + } + } + __pyx_t_11 = (__pyx_t_10) ? __Pyx_PyObject_CallOneArg(__pyx_t_9, __pyx_t_10) : __Pyx_PyObject_CallNoArg(__pyx_t_9); + __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; + if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 443, __pyx_L18_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_t_9 = __pyx_t_11; + __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + /*try:*/ { + { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ExceptionSave(&__pyx_t_22, &__pyx_t_23, &__pyx_t_24); + __Pyx_XGOTREF(__pyx_t_22); + __Pyx_XGOTREF(__pyx_t_23); + __Pyx_XGOTREF(__pyx_t_24); + /*try:*/ { + __pyx_v_progress = __pyx_t_9; + __pyx_t_9 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":444 + * + * with trange(self.max_iter, disable=not self.verbose) as progress: + * for epoch in progress: # <<<<<<<<<<<<<< + * correct, skipped, loss, bpr_loss = self._fit_mter( + * rng_pos_uia, rng_pos_uao, rng_pos_iao, rng_pos_pair, rng_pos, rng_neg, + */ + if (likely(PyList_CheckExact(__pyx_v_progress)) || PyTuple_CheckExact(__pyx_v_progress)) { + __pyx_t_9 = __pyx_v_progress; __Pyx_INCREF(__pyx_t_9); __pyx_t_18 = 0; + __pyx_t_25 = NULL; + } else { + __pyx_t_18 = -1; __pyx_t_9 = PyObject_GetIter(__pyx_v_progress); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 444, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_25 = Py_TYPE(__pyx_t_9)->tp_iternext; if (unlikely(!__pyx_t_25)) __PYX_ERR(0, 444, __pyx_L22_error) + } + for (;;) { + if (likely(!__pyx_t_25)) { + if (likely(PyList_CheckExact(__pyx_t_9))) { + if (__pyx_t_18 >= PyList_GET_SIZE(__pyx_t_9)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_13 = PyList_GET_ITEM(__pyx_t_9, __pyx_t_18); __Pyx_INCREF(__pyx_t_13); __pyx_t_18++; if (unlikely(0 < 0)) __PYX_ERR(0, 444, __pyx_L22_error) + #else + __pyx_t_13 = PySequence_ITEM(__pyx_t_9, __pyx_t_18); __pyx_t_18++; if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 444, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_13); + #endif + } else { + if (__pyx_t_18 >= PyTuple_GET_SIZE(__pyx_t_9)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_13 = PyTuple_GET_ITEM(__pyx_t_9, __pyx_t_18); __Pyx_INCREF(__pyx_t_13); __pyx_t_18++; if (unlikely(0 < 0)) __PYX_ERR(0, 444, __pyx_L22_error) + #else + __pyx_t_13 = PySequence_ITEM(__pyx_t_9, __pyx_t_18); __pyx_t_18++; if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 444, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_13); + #endif + } + } else { + __pyx_t_13 = __pyx_t_25(__pyx_t_9); + if (unlikely(!__pyx_t_13)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(0, 444, __pyx_L22_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_13); + } + __Pyx_XDECREF_SET(__pyx_v_epoch, __pyx_t_13); + __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":445 + * with trange(self.max_iter, disable=not self.verbose) as progress: + * for epoch in progress: + * correct, skipped, loss, bpr_loss = self._fit_mter( # <<<<<<<<<<<<<< + * rng_pos_uia, rng_pos_uao, rng_pos_iao, rng_pos_pair, rng_pos, rng_neg, + * n_threads, + */ + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_fit_mter); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 445, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_11); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":447 + * correct, skipped, loss, bpr_loss = self._fit_mter( + * rng_pos_uia, rng_pos_uao, rng_pos_iao, rng_pos_pair, rng_pos, rng_neg, + * n_threads, # <<<<<<<<<<<<<< + * X, X_uids, X_iids, X_aids, + * YU, YU_uids, YU_aids, YU_oids, + */ + __pyx_t_10 = __Pyx_PyInt_From_int(__pyx_v_n_threads); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 447, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_10); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":452 + * YI, YI_iids, YI_aids, YI_oids, + * rating_dict, + * user_ids, rating_matrix.indices, neg_item_ids, rating_matrix.indptr, # <<<<<<<<<<<<<< + * p_user_indices, earlier_indices, later_indices, aspect_indices, pair_freq, + * self.G1, self.G2, self.G3, self.U, self.I, self.A, self.O, + */ + __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_rating_matrix, __pyx_n_s_indices); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 452, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_12); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_rating_matrix, __pyx_n_s_indptr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 452, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":454 + * user_ids, rating_matrix.indices, neg_item_ids, rating_matrix.indptr, + * p_user_indices, earlier_indices, later_indices, aspect_indices, pair_freq, + * self.G1, self.G2, self.G3, self.U, self.I, self.A, self.O, # <<<<<<<<<<<<<< + * sgrad_G1, sgrad_G2, sgrad_G3, sgrad_U, sgrad_I, sgrad_A, sgrad_O, + * del_g1, del_g2, del_g3, del_u, del_i, del_a, del_o, + */ + __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_G1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 454, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_14); + __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_G2); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 454, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_8); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_G3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 454, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_U); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 454, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_I); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 454, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_A); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 454, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_15); + __pyx_t_26 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_O); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 454, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_26); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":457 + * sgrad_G1, sgrad_G2, sgrad_G3, sgrad_U, sgrad_I, sgrad_A, sgrad_O, + * del_g1, del_g2, del_g3, del_u, del_i, del_a, del_o, + * del_g1_reg, del_g2_reg, del_g3_reg, del_u_reg, del_i_reg, del_a_reg, del_o_reg # <<<<<<<<<<<<<< + * ) + * + */ + __pyx_t_27 = NULL; + __pyx_t_4 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) { + __pyx_t_27 = PyMethod_GET_SELF(__pyx_t_11); + if (likely(__pyx_t_27)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11); + __Pyx_INCREF(__pyx_t_27); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_11, function); + __pyx_t_4 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_11)) { + PyObject *__pyx_temp[58] = {__pyx_t_27, ((PyObject *)__pyx_v_rng_pos_uia), ((PyObject *)__pyx_v_rng_pos_uao), ((PyObject *)__pyx_v_rng_pos_iao), ((PyObject *)__pyx_v_rng_pos_pair), ((PyObject *)__pyx_v_rng_pos), ((PyObject *)__pyx_v_rng_neg), __pyx_t_10, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_iids, __pyx_v_X_aids, __pyx_v_YU, __pyx_v_YU_uids, __pyx_v_YU_aids, __pyx_v_YU_oids, __pyx_v_YI, __pyx_v_YI_iids, __pyx_v_YI_aids, __pyx_v_YI_oids, __pyx_v_rating_dict, __pyx_v_user_ids, __pyx_t_12, __pyx_v_neg_item_ids, __pyx_t_1, __pyx_v_p_user_indices, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_freq, __pyx_t_14, __pyx_t_8, __pyx_t_2, __pyx_t_5, __pyx_t_3, __pyx_t_15, __pyx_t_26, __pyx_v_sgrad_G1, __pyx_v_sgrad_G2, __pyx_v_sgrad_G3, __pyx_v_sgrad_U, __pyx_v_sgrad_I, __pyx_v_sgrad_A, __pyx_v_sgrad_O, __pyx_v_del_g1, __pyx_v_del_g2, __pyx_v_del_g3, __pyx_v_del_u, __pyx_v_del_i, __pyx_v_del_a, __pyx_v_del_o, __pyx_v_del_g1_reg, __pyx_v_del_g2_reg, __pyx_v_del_g3_reg, __pyx_v_del_u_reg, __pyx_v_del_i_reg, __pyx_v_del_a_reg, __pyx_v_del_o_reg}; + __pyx_t_13 = __Pyx_PyFunction_FastCall(__pyx_t_11, __pyx_temp+1-__pyx_t_4, 57+__pyx_t_4); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 445, __pyx_L22_error) + __Pyx_XDECREF(__pyx_t_27); __pyx_t_27 = 0; + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_11)) { + PyObject *__pyx_temp[58] = {__pyx_t_27, ((PyObject *)__pyx_v_rng_pos_uia), ((PyObject *)__pyx_v_rng_pos_uao), ((PyObject *)__pyx_v_rng_pos_iao), ((PyObject *)__pyx_v_rng_pos_pair), ((PyObject *)__pyx_v_rng_pos), ((PyObject *)__pyx_v_rng_neg), __pyx_t_10, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_iids, __pyx_v_X_aids, __pyx_v_YU, __pyx_v_YU_uids, __pyx_v_YU_aids, __pyx_v_YU_oids, __pyx_v_YI, __pyx_v_YI_iids, __pyx_v_YI_aids, __pyx_v_YI_oids, __pyx_v_rating_dict, __pyx_v_user_ids, __pyx_t_12, __pyx_v_neg_item_ids, __pyx_t_1, __pyx_v_p_user_indices, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_freq, __pyx_t_14, __pyx_t_8, __pyx_t_2, __pyx_t_5, __pyx_t_3, __pyx_t_15, __pyx_t_26, __pyx_v_sgrad_G1, __pyx_v_sgrad_G2, __pyx_v_sgrad_G3, __pyx_v_sgrad_U, __pyx_v_sgrad_I, __pyx_v_sgrad_A, __pyx_v_sgrad_O, __pyx_v_del_g1, __pyx_v_del_g2, __pyx_v_del_g3, __pyx_v_del_u, __pyx_v_del_i, __pyx_v_del_a, __pyx_v_del_o, __pyx_v_del_g1_reg, __pyx_v_del_g2_reg, __pyx_v_del_g3_reg, __pyx_v_del_u_reg, __pyx_v_del_i_reg, __pyx_v_del_a_reg, __pyx_v_del_o_reg}; + __pyx_t_13 = __Pyx_PyCFunction_FastCall(__pyx_t_11, __pyx_temp+1-__pyx_t_4, 57+__pyx_t_4); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 445, __pyx_L22_error) + __Pyx_XDECREF(__pyx_t_27); __pyx_t_27 = 0; + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0; + } else + #endif + { + __pyx_t_28 = PyTuple_New(57+__pyx_t_4); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 445, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_28); + if (__pyx_t_27) { + __Pyx_GIVEREF(__pyx_t_27); PyTuple_SET_ITEM(__pyx_t_28, 0, __pyx_t_27); __pyx_t_27 = NULL; + } + __Pyx_INCREF(((PyObject *)__pyx_v_rng_pos_uia)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_rng_pos_uia)); + PyTuple_SET_ITEM(__pyx_t_28, 0+__pyx_t_4, ((PyObject *)__pyx_v_rng_pos_uia)); + __Pyx_INCREF(((PyObject *)__pyx_v_rng_pos_uao)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_rng_pos_uao)); + PyTuple_SET_ITEM(__pyx_t_28, 1+__pyx_t_4, ((PyObject *)__pyx_v_rng_pos_uao)); + __Pyx_INCREF(((PyObject *)__pyx_v_rng_pos_iao)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_rng_pos_iao)); + PyTuple_SET_ITEM(__pyx_t_28, 2+__pyx_t_4, ((PyObject *)__pyx_v_rng_pos_iao)); + __Pyx_INCREF(((PyObject *)__pyx_v_rng_pos_pair)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_rng_pos_pair)); + PyTuple_SET_ITEM(__pyx_t_28, 3+__pyx_t_4, ((PyObject *)__pyx_v_rng_pos_pair)); + __Pyx_INCREF(((PyObject *)__pyx_v_rng_pos)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_rng_pos)); + PyTuple_SET_ITEM(__pyx_t_28, 4+__pyx_t_4, ((PyObject *)__pyx_v_rng_pos)); + __Pyx_INCREF(((PyObject *)__pyx_v_rng_neg)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_rng_neg)); + PyTuple_SET_ITEM(__pyx_t_28, 5+__pyx_t_4, ((PyObject *)__pyx_v_rng_neg)); + __Pyx_GIVEREF(__pyx_t_10); + PyTuple_SET_ITEM(__pyx_t_28, 6+__pyx_t_4, __pyx_t_10); + __Pyx_INCREF(__pyx_v_X); + __Pyx_GIVEREF(__pyx_v_X); + PyTuple_SET_ITEM(__pyx_t_28, 7+__pyx_t_4, __pyx_v_X); + __Pyx_INCREF(__pyx_v_X_uids); + __Pyx_GIVEREF(__pyx_v_X_uids); + PyTuple_SET_ITEM(__pyx_t_28, 8+__pyx_t_4, __pyx_v_X_uids); + __Pyx_INCREF(__pyx_v_X_iids); + __Pyx_GIVEREF(__pyx_v_X_iids); + PyTuple_SET_ITEM(__pyx_t_28, 9+__pyx_t_4, __pyx_v_X_iids); + __Pyx_INCREF(__pyx_v_X_aids); + __Pyx_GIVEREF(__pyx_v_X_aids); + PyTuple_SET_ITEM(__pyx_t_28, 10+__pyx_t_4, __pyx_v_X_aids); + __Pyx_INCREF(__pyx_v_YU); + __Pyx_GIVEREF(__pyx_v_YU); + PyTuple_SET_ITEM(__pyx_t_28, 11+__pyx_t_4, __pyx_v_YU); + __Pyx_INCREF(__pyx_v_YU_uids); + __Pyx_GIVEREF(__pyx_v_YU_uids); + PyTuple_SET_ITEM(__pyx_t_28, 12+__pyx_t_4, __pyx_v_YU_uids); + __Pyx_INCREF(__pyx_v_YU_aids); + __Pyx_GIVEREF(__pyx_v_YU_aids); + PyTuple_SET_ITEM(__pyx_t_28, 13+__pyx_t_4, __pyx_v_YU_aids); + __Pyx_INCREF(__pyx_v_YU_oids); + __Pyx_GIVEREF(__pyx_v_YU_oids); + PyTuple_SET_ITEM(__pyx_t_28, 14+__pyx_t_4, __pyx_v_YU_oids); + __Pyx_INCREF(__pyx_v_YI); + __Pyx_GIVEREF(__pyx_v_YI); + PyTuple_SET_ITEM(__pyx_t_28, 15+__pyx_t_4, __pyx_v_YI); + __Pyx_INCREF(__pyx_v_YI_iids); + __Pyx_GIVEREF(__pyx_v_YI_iids); + PyTuple_SET_ITEM(__pyx_t_28, 16+__pyx_t_4, __pyx_v_YI_iids); + __Pyx_INCREF(__pyx_v_YI_aids); + __Pyx_GIVEREF(__pyx_v_YI_aids); + PyTuple_SET_ITEM(__pyx_t_28, 17+__pyx_t_4, __pyx_v_YI_aids); + __Pyx_INCREF(__pyx_v_YI_oids); + __Pyx_GIVEREF(__pyx_v_YI_oids); + PyTuple_SET_ITEM(__pyx_t_28, 18+__pyx_t_4, __pyx_v_YI_oids); + __Pyx_INCREF(__pyx_v_rating_dict); + __Pyx_GIVEREF(__pyx_v_rating_dict); + PyTuple_SET_ITEM(__pyx_t_28, 19+__pyx_t_4, __pyx_v_rating_dict); + __Pyx_INCREF(__pyx_v_user_ids); + __Pyx_GIVEREF(__pyx_v_user_ids); + PyTuple_SET_ITEM(__pyx_t_28, 20+__pyx_t_4, __pyx_v_user_ids); + __Pyx_GIVEREF(__pyx_t_12); + PyTuple_SET_ITEM(__pyx_t_28, 21+__pyx_t_4, __pyx_t_12); + __Pyx_INCREF(__pyx_v_neg_item_ids); + __Pyx_GIVEREF(__pyx_v_neg_item_ids); + PyTuple_SET_ITEM(__pyx_t_28, 22+__pyx_t_4, __pyx_v_neg_item_ids); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_28, 23+__pyx_t_4, __pyx_t_1); + __Pyx_INCREF(__pyx_v_p_user_indices); + __Pyx_GIVEREF(__pyx_v_p_user_indices); + PyTuple_SET_ITEM(__pyx_t_28, 24+__pyx_t_4, __pyx_v_p_user_indices); + __Pyx_INCREF(__pyx_v_earlier_indices); + __Pyx_GIVEREF(__pyx_v_earlier_indices); + PyTuple_SET_ITEM(__pyx_t_28, 25+__pyx_t_4, __pyx_v_earlier_indices); + __Pyx_INCREF(__pyx_v_later_indices); + __Pyx_GIVEREF(__pyx_v_later_indices); + PyTuple_SET_ITEM(__pyx_t_28, 26+__pyx_t_4, __pyx_v_later_indices); + __Pyx_INCREF(__pyx_v_aspect_indices); + __Pyx_GIVEREF(__pyx_v_aspect_indices); + PyTuple_SET_ITEM(__pyx_t_28, 27+__pyx_t_4, __pyx_v_aspect_indices); + __Pyx_INCREF(__pyx_v_pair_freq); + __Pyx_GIVEREF(__pyx_v_pair_freq); + PyTuple_SET_ITEM(__pyx_t_28, 28+__pyx_t_4, __pyx_v_pair_freq); + __Pyx_GIVEREF(__pyx_t_14); + PyTuple_SET_ITEM(__pyx_t_28, 29+__pyx_t_4, __pyx_t_14); + __Pyx_GIVEREF(__pyx_t_8); + PyTuple_SET_ITEM(__pyx_t_28, 30+__pyx_t_4, __pyx_t_8); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_28, 31+__pyx_t_4, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_28, 32+__pyx_t_4, __pyx_t_5); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_28, 33+__pyx_t_4, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_15); + PyTuple_SET_ITEM(__pyx_t_28, 34+__pyx_t_4, __pyx_t_15); + __Pyx_GIVEREF(__pyx_t_26); + PyTuple_SET_ITEM(__pyx_t_28, 35+__pyx_t_4, __pyx_t_26); + __Pyx_INCREF(__pyx_v_sgrad_G1); + __Pyx_GIVEREF(__pyx_v_sgrad_G1); + PyTuple_SET_ITEM(__pyx_t_28, 36+__pyx_t_4, __pyx_v_sgrad_G1); + __Pyx_INCREF(__pyx_v_sgrad_G2); + __Pyx_GIVEREF(__pyx_v_sgrad_G2); + PyTuple_SET_ITEM(__pyx_t_28, 37+__pyx_t_4, __pyx_v_sgrad_G2); + __Pyx_INCREF(__pyx_v_sgrad_G3); + __Pyx_GIVEREF(__pyx_v_sgrad_G3); + PyTuple_SET_ITEM(__pyx_t_28, 38+__pyx_t_4, __pyx_v_sgrad_G3); + __Pyx_INCREF(__pyx_v_sgrad_U); + __Pyx_GIVEREF(__pyx_v_sgrad_U); + PyTuple_SET_ITEM(__pyx_t_28, 39+__pyx_t_4, __pyx_v_sgrad_U); + __Pyx_INCREF(__pyx_v_sgrad_I); + __Pyx_GIVEREF(__pyx_v_sgrad_I); + PyTuple_SET_ITEM(__pyx_t_28, 40+__pyx_t_4, __pyx_v_sgrad_I); + __Pyx_INCREF(__pyx_v_sgrad_A); + __Pyx_GIVEREF(__pyx_v_sgrad_A); + PyTuple_SET_ITEM(__pyx_t_28, 41+__pyx_t_4, __pyx_v_sgrad_A); + __Pyx_INCREF(__pyx_v_sgrad_O); + __Pyx_GIVEREF(__pyx_v_sgrad_O); + PyTuple_SET_ITEM(__pyx_t_28, 42+__pyx_t_4, __pyx_v_sgrad_O); + __Pyx_INCREF(__pyx_v_del_g1); + __Pyx_GIVEREF(__pyx_v_del_g1); + PyTuple_SET_ITEM(__pyx_t_28, 43+__pyx_t_4, __pyx_v_del_g1); + __Pyx_INCREF(__pyx_v_del_g2); + __Pyx_GIVEREF(__pyx_v_del_g2); + PyTuple_SET_ITEM(__pyx_t_28, 44+__pyx_t_4, __pyx_v_del_g2); + __Pyx_INCREF(__pyx_v_del_g3); + __Pyx_GIVEREF(__pyx_v_del_g3); + PyTuple_SET_ITEM(__pyx_t_28, 45+__pyx_t_4, __pyx_v_del_g3); + __Pyx_INCREF(__pyx_v_del_u); + __Pyx_GIVEREF(__pyx_v_del_u); + PyTuple_SET_ITEM(__pyx_t_28, 46+__pyx_t_4, __pyx_v_del_u); + __Pyx_INCREF(__pyx_v_del_i); + __Pyx_GIVEREF(__pyx_v_del_i); + PyTuple_SET_ITEM(__pyx_t_28, 47+__pyx_t_4, __pyx_v_del_i); + __Pyx_INCREF(__pyx_v_del_a); + __Pyx_GIVEREF(__pyx_v_del_a); + PyTuple_SET_ITEM(__pyx_t_28, 48+__pyx_t_4, __pyx_v_del_a); + __Pyx_INCREF(__pyx_v_del_o); + __Pyx_GIVEREF(__pyx_v_del_o); + PyTuple_SET_ITEM(__pyx_t_28, 49+__pyx_t_4, __pyx_v_del_o); + __Pyx_INCREF(__pyx_v_del_g1_reg); + __Pyx_GIVEREF(__pyx_v_del_g1_reg); + PyTuple_SET_ITEM(__pyx_t_28, 50+__pyx_t_4, __pyx_v_del_g1_reg); + __Pyx_INCREF(__pyx_v_del_g2_reg); + __Pyx_GIVEREF(__pyx_v_del_g2_reg); + PyTuple_SET_ITEM(__pyx_t_28, 51+__pyx_t_4, __pyx_v_del_g2_reg); + __Pyx_INCREF(__pyx_v_del_g3_reg); + __Pyx_GIVEREF(__pyx_v_del_g3_reg); + PyTuple_SET_ITEM(__pyx_t_28, 52+__pyx_t_4, __pyx_v_del_g3_reg); + __Pyx_INCREF(__pyx_v_del_u_reg); + __Pyx_GIVEREF(__pyx_v_del_u_reg); + PyTuple_SET_ITEM(__pyx_t_28, 53+__pyx_t_4, __pyx_v_del_u_reg); + __Pyx_INCREF(__pyx_v_del_i_reg); + __Pyx_GIVEREF(__pyx_v_del_i_reg); + PyTuple_SET_ITEM(__pyx_t_28, 54+__pyx_t_4, __pyx_v_del_i_reg); + __Pyx_INCREF(__pyx_v_del_a_reg); + __Pyx_GIVEREF(__pyx_v_del_a_reg); + PyTuple_SET_ITEM(__pyx_t_28, 55+__pyx_t_4, __pyx_v_del_a_reg); + __Pyx_INCREF(__pyx_v_del_o_reg); + __Pyx_GIVEREF(__pyx_v_del_o_reg); + PyTuple_SET_ITEM(__pyx_t_28, 56+__pyx_t_4, __pyx_v_del_o_reg); + __pyx_t_10 = 0; + __pyx_t_12 = 0; + __pyx_t_1 = 0; + __pyx_t_14 = 0; + __pyx_t_8 = 0; + __pyx_t_2 = 0; + __pyx_t_5 = 0; + __pyx_t_3 = 0; + __pyx_t_15 = 0; + __pyx_t_26 = 0; + __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_28, NULL); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 445, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0; + } + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if ((likely(PyTuple_CheckExact(__pyx_t_13))) || (PyList_CheckExact(__pyx_t_13))) { + PyObject* sequence = __pyx_t_13; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 4)) { + if (size > 4) __Pyx_RaiseTooManyValuesError(4); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(0, 445, __pyx_L22_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + if (likely(PyTuple_CheckExact(sequence))) { + __pyx_t_11 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_28 = PyTuple_GET_ITEM(sequence, 1); + __pyx_t_26 = PyTuple_GET_ITEM(sequence, 2); + __pyx_t_15 = PyTuple_GET_ITEM(sequence, 3); + } else { + __pyx_t_11 = PyList_GET_ITEM(sequence, 0); + __pyx_t_28 = PyList_GET_ITEM(sequence, 1); + __pyx_t_26 = PyList_GET_ITEM(sequence, 2); + __pyx_t_15 = PyList_GET_ITEM(sequence, 3); + } + __Pyx_INCREF(__pyx_t_11); + __Pyx_INCREF(__pyx_t_28); + __Pyx_INCREF(__pyx_t_26); + __Pyx_INCREF(__pyx_t_15); + #else + { + Py_ssize_t i; + PyObject** temps[4] = {&__pyx_t_11,&__pyx_t_28,&__pyx_t_26,&__pyx_t_15}; + for (i=0; i < 4; i++) { + PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) __PYX_ERR(0, 445, __pyx_L22_error) + __Pyx_GOTREF(item); + *(temps[i]) = item; + } + } + #endif + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + } else { + Py_ssize_t index = -1; + PyObject** temps[4] = {&__pyx_t_11,&__pyx_t_28,&__pyx_t_26,&__pyx_t_15}; + __pyx_t_3 = PyObject_GetIter(__pyx_t_13); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 445, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_16 = Py_TYPE(__pyx_t_3)->tp_iternext; + for (index=0; index < 4; index++) { + PyObject* item = __pyx_t_16(__pyx_t_3); if (unlikely(!item)) goto __pyx_L30_unpacking_failed; + __Pyx_GOTREF(item); + *(temps[index]) = item; + } + if (__Pyx_IternextUnpackEndCheck(__pyx_t_16(__pyx_t_3), 4) < 0) __PYX_ERR(0, 445, __pyx_L22_error) + __pyx_t_16 = NULL; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + goto __pyx_L31_unpacking_done; + __pyx_L30_unpacking_failed:; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_16 = NULL; + if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); + __PYX_ERR(0, 445, __pyx_L22_error) + __pyx_L31_unpacking_done:; + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":445 + * with trange(self.max_iter, disable=not self.verbose) as progress: + * for epoch in progress: + * correct, skipped, loss, bpr_loss = self._fit_mter( # <<<<<<<<<<<<<< + * rng_pos_uia, rng_pos_uao, rng_pos_iao, rng_pos_pair, rng_pos, rng_neg, + * n_threads, + */ + __Pyx_XDECREF_SET(__pyx_v_correct, __pyx_t_11); + __pyx_t_11 = 0; + __Pyx_XDECREF_SET(__pyx_v_skipped, __pyx_t_28); + __pyx_t_28 = 0; + __Pyx_XDECREF_SET(__pyx_v_loss, __pyx_t_26); + __pyx_t_26 = 0; + __Pyx_XDECREF_SET(__pyx_v_bpr_loss, __pyx_t_15); + __pyx_t_15 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":460 + * ) + * + * progress.set_postfix({ # <<<<<<<<<<<<<< + * "loss": "%.2f" % (loss / 3 / self.n_element_samples), + * "bpr_loss": "%.2f" % (bpr_loss / self.n_bpr_samples), + */ + __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_v_progress, __pyx_n_s_set_postfix); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 460, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_15); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":461 + * + * progress.set_postfix({ + * "loss": "%.2f" % (loss / 3 / self.n_element_samples), # <<<<<<<<<<<<<< + * "bpr_loss": "%.2f" % (bpr_loss / self.n_bpr_samples), + * "correct": "%.2f%%" % (100.0 * correct / (self.n_bpr_samples - skipped)), + */ + __pyx_t_26 = __Pyx_PyDict_NewPresized(4); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 461, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_26); + __pyx_t_28 = __Pyx_PyInt_TrueDivideObjC(__pyx_v_loss, __pyx_int_3, 3, 0, 0); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 461, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_28); + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_element_samples); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 461, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_3 = __Pyx_PyNumber_Divide(__pyx_t_28, __pyx_t_11); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 461, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0; + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_2f_2, __pyx_t_3); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 461, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_26, __pyx_n_u_loss, __pyx_t_11) < 0) __PYX_ERR(0, 461, __pyx_L22_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":462 + * progress.set_postfix({ + * "loss": "%.2f" % (loss / 3 / self.n_element_samples), + * "bpr_loss": "%.2f" % (bpr_loss / self.n_bpr_samples), # <<<<<<<<<<<<<< + * "correct": "%.2f%%" % (100.0 * correct / (self.n_bpr_samples - skipped)), + * "skipped": "%.2f%%" % (100.0 * skipped / self.n_bpr_samples) + */ + __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_bpr_samples); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 462, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_3 = __Pyx_PyNumber_Divide(__pyx_v_bpr_loss, __pyx_t_11); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 462, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __pyx_t_11 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_2f_2, __pyx_t_3); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 462, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_26, __pyx_n_u_bpr_loss, __pyx_t_11) < 0) __PYX_ERR(0, 461, __pyx_L22_error) + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":463 + * "loss": "%.2f" % (loss / 3 / self.n_element_samples), + * "bpr_loss": "%.2f" % (bpr_loss / self.n_bpr_samples), + * "correct": "%.2f%%" % (100.0 * correct / (self.n_bpr_samples - skipped)), # <<<<<<<<<<<<<< + * "skipped": "%.2f%%" % (100.0 * skipped / self.n_bpr_samples) + * }) + */ + __pyx_t_11 = PyNumber_Multiply(__pyx_float_100_0, __pyx_v_correct); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 463, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_11); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_bpr_samples); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 463, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_28 = PyNumber_Subtract(__pyx_t_3, __pyx_v_skipped); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 463, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_28); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyNumber_Divide(__pyx_t_11, __pyx_t_28); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 463, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0; + __pyx_t_28 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_2f_3, __pyx_t_3); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 463, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_28); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PyDict_SetItem(__pyx_t_26, __pyx_n_u_correct, __pyx_t_28) < 0) __PYX_ERR(0, 461, __pyx_L22_error) + __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":464 + * "bpr_loss": "%.2f" % (bpr_loss / self.n_bpr_samples), + * "correct": "%.2f%%" % (100.0 * correct / (self.n_bpr_samples - skipped)), + * "skipped": "%.2f%%" % (100.0 * skipped / self.n_bpr_samples) # <<<<<<<<<<<<<< + * }) + * + */ + __pyx_t_28 = PyNumber_Multiply(__pyx_float_100_0, __pyx_v_skipped); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 464, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_28); + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_bpr_samples); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 464, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_11 = __Pyx_PyNumber_Divide(__pyx_t_28, __pyx_t_3); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 464, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_2f_3, __pyx_t_11); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 464, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + if (PyDict_SetItem(__pyx_t_26, __pyx_n_u_skipped, __pyx_t_3) < 0) __PYX_ERR(0, 461, __pyx_L22_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_15))) { + __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_15); + if (likely(__pyx_t_3)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_15); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_15, function); + } + } + __pyx_t_13 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_15, __pyx_t_3, __pyx_t_26) : __Pyx_PyObject_CallOneArg(__pyx_t_15, __pyx_t_26); + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0; + if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 460, __pyx_L22_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":444 + * + * with trange(self.max_iter, disable=not self.verbose) as progress: + * for epoch in progress: # <<<<<<<<<<<<<< + * correct, skipped, loss, bpr_loss = self._fit_mter( + * rng_pos_uia, rng_pos_uao, rng_pos_iao, rng_pos_pair, rng_pos, rng_neg, + */ + } + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":443 + * del_o_reg = np.zeros_like(self.O).astype(np.float32) + * + * with trange(self.max_iter, disable=not self.verbose) as progress: # <<<<<<<<<<<<<< + * for epoch in progress: + * correct, skipped, loss, bpr_loss = self._fit_mter( + */ + } + __Pyx_XDECREF(__pyx_t_22); __pyx_t_22 = 0; + __Pyx_XDECREF(__pyx_t_23); __pyx_t_23 = 0; + __Pyx_XDECREF(__pyx_t_24); __pyx_t_24 = 0; + goto __pyx_L27_try_end; + __pyx_L22_error:; + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; + __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0; + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0; + __Pyx_XDECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_XDECREF(__pyx_t_26); __pyx_t_26 = 0; + __Pyx_XDECREF(__pyx_t_27); __pyx_t_27 = 0; + __Pyx_XDECREF(__pyx_t_28); __pyx_t_28 = 0; + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0; + /*except:*/ { + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub.fit", __pyx_clineno, __pyx_lineno, __pyx_filename); + if (__Pyx_GetException(&__pyx_t_9, &__pyx_t_13, &__pyx_t_15) < 0) __PYX_ERR(0, 443, __pyx_L24_except_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_GOTREF(__pyx_t_13); + __Pyx_GOTREF(__pyx_t_15); + __pyx_t_26 = PyTuple_Pack(3, __pyx_t_9, __pyx_t_13, __pyx_t_15); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 443, __pyx_L24_except_error) + __Pyx_GOTREF(__pyx_t_26); + __pyx_t_29 = __Pyx_PyObject_Call(__pyx_t_21, __pyx_t_26, NULL); + __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; + __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0; + if (unlikely(!__pyx_t_29)) __PYX_ERR(0, 443, __pyx_L24_except_error) + __Pyx_GOTREF(__pyx_t_29); + __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_29); + __Pyx_DECREF(__pyx_t_29); __pyx_t_29 = 0; + if (__pyx_t_7 < 0) __PYX_ERR(0, 443, __pyx_L24_except_error) + __pyx_t_6 = ((!(__pyx_t_7 != 0)) != 0); + if (__pyx_t_6) { + __Pyx_GIVEREF(__pyx_t_9); + __Pyx_GIVEREF(__pyx_t_13); + __Pyx_XGIVEREF(__pyx_t_15); + __Pyx_ErrRestoreWithState(__pyx_t_9, __pyx_t_13, __pyx_t_15); + __pyx_t_9 = 0; __pyx_t_13 = 0; __pyx_t_15 = 0; + __PYX_ERR(0, 443, __pyx_L24_except_error) + } + __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0; + __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_XDECREF(__pyx_t_15); __pyx_t_15 = 0; + goto __pyx_L23_exception_handled; + } + __pyx_L24_except_error:; + __Pyx_XGIVEREF(__pyx_t_22); + __Pyx_XGIVEREF(__pyx_t_23); + __Pyx_XGIVEREF(__pyx_t_24); + __Pyx_ExceptionReset(__pyx_t_22, __pyx_t_23, __pyx_t_24); + goto __pyx_L1_error; + __pyx_L23_exception_handled:; + __Pyx_XGIVEREF(__pyx_t_22); + __Pyx_XGIVEREF(__pyx_t_23); + __Pyx_XGIVEREF(__pyx_t_24); + __Pyx_ExceptionReset(__pyx_t_22, __pyx_t_23, __pyx_t_24); + __pyx_L27_try_end:; + } + } + /*finally:*/ { + /*normal exit:*/{ + if (__pyx_t_21) { + __pyx_t_24 = __Pyx_PyObject_Call(__pyx_t_21, __pyx_tuple__4, NULL); + __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; + if (unlikely(!__pyx_t_24)) __PYX_ERR(0, 443, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_24); + __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; + } + goto __pyx_L21; + } + __pyx_L21:; + } + goto __pyx_L35; + __pyx_L18_error:; + __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; + goto __pyx_L1_error; + __pyx_L35:; + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":467 + * }) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_verbose); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 467, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_15); + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_15); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(0, 467, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + if (__pyx_t_6) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":468 + * + * if self.verbose: + * print('Optimization finished!') # <<<<<<<<<<<<<< + * + * return self + */ + __pyx_t_15 = __Pyx_PyObject_Call(__pyx_builtin_print, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 468, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_15); + __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":467 + * }) + * + * if self.verbose: # <<<<<<<<<<<<<< + * print('Optimization finished!') + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":470 + * print('Optimization finished!') + * + * return self # <<<<<<<<<<<<<< + * + * @cython.cdivision(True) + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_self); + __pyx_r = __pyx_v_self; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":342 + * + * + * def fit(self, train_set, val_set=None): # <<<<<<<<<<<<<< + * """Fit the model to observations. + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_9); + __Pyx_XDECREF(__pyx_t_10); + __Pyx_XDECREF(__pyx_t_11); + __Pyx_XDECREF(__pyx_t_12); + __Pyx_XDECREF(__pyx_t_13); + __Pyx_XDECREF(__pyx_t_14); + __Pyx_XDECREF(__pyx_t_15); + __Pyx_XDECREF(__pyx_t_26); + __Pyx_XDECREF(__pyx_t_27); + __Pyx_XDECREF(__pyx_t_28); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub.fit", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_rating_matrix); + __Pyx_XDECREF(__pyx_v_rating_dict); + __Pyx_XDECREF(__pyx_v_user_item_aspect); + __Pyx_XDECREF(__pyx_v_user_aspect_opinion); + __Pyx_XDECREF(__pyx_v_item_aspect_opinion); + __Pyx_XDECREF(__pyx_v_p_user_indices); + __Pyx_XDECREF(__pyx_v_earlier_indices); + __Pyx_XDECREF(__pyx_v_later_indices); + __Pyx_XDECREF(__pyx_v_aspect_indices); + __Pyx_XDECREF(__pyx_v_pair_freq); + __Pyx_XDECREF(__pyx_v_X); + __Pyx_XDECREF(__pyx_v_X_uids); + __Pyx_XDECREF(__pyx_v_X_iids); + __Pyx_XDECREF(__pyx_v_X_aids); + __Pyx_XDECREF(__pyx_v_YU); + __Pyx_XDECREF(__pyx_v_YU_uids); + __Pyx_XDECREF(__pyx_v_YU_aids); + __Pyx_XDECREF(__pyx_v_YU_oids); + __Pyx_XDECREF(__pyx_v_YI); + __Pyx_XDECREF(__pyx_v_YI_iids); + __Pyx_XDECREF(__pyx_v_YI_aids); + __Pyx_XDECREF(__pyx_v_YI_oids); + __Pyx_XDECREF(__pyx_v_uid); + __Pyx_XDECREF(__pyx_v_iid); + __Pyx_XDECREF(__pyx_v_aid); + __Pyx_XDECREF(__pyx_v_score); + __Pyx_XDECREF(__pyx_v_oid); + __Pyx_XDECREF(__pyx_v_user_counts); + __Pyx_XDECREF(__pyx_v_user_ids); + __Pyx_XDECREF(__pyx_v_neg_item_ids); + __Pyx_XDECREF((PyObject *)__pyx_v_rng_pos_uia); + __Pyx_XDECREF((PyObject *)__pyx_v_rng_pos_uao); + __Pyx_XDECREF((PyObject *)__pyx_v_rng_pos_iao); + __Pyx_XDECREF((PyObject *)__pyx_v_rng_pos_pair); + __Pyx_XDECREF((PyObject *)__pyx_v_rng_pos); + __Pyx_XDECREF((PyObject *)__pyx_v_rng_neg); + __Pyx_XDECREF(__pyx_v_sgrad_G1); + __Pyx_XDECREF(__pyx_v_sgrad_G2); + __Pyx_XDECREF(__pyx_v_sgrad_G3); + __Pyx_XDECREF(__pyx_v_sgrad_U); + __Pyx_XDECREF(__pyx_v_sgrad_I); + __Pyx_XDECREF(__pyx_v_sgrad_A); + __Pyx_XDECREF(__pyx_v_sgrad_O); + __Pyx_XDECREF(__pyx_v_del_g1); + __Pyx_XDECREF(__pyx_v_del_g2); + __Pyx_XDECREF(__pyx_v_del_g3); + __Pyx_XDECREF(__pyx_v_del_u); + __Pyx_XDECREF(__pyx_v_del_i); + __Pyx_XDECREF(__pyx_v_del_a); + __Pyx_XDECREF(__pyx_v_del_o); + __Pyx_XDECREF(__pyx_v_del_g1_reg); + __Pyx_XDECREF(__pyx_v_del_g2_reg); + __Pyx_XDECREF(__pyx_v_del_g3_reg); + __Pyx_XDECREF(__pyx_v_del_u_reg); + __Pyx_XDECREF(__pyx_v_del_i_reg); + __Pyx_XDECREF(__pyx_v_del_a_reg); + __Pyx_XDECREF(__pyx_v_del_o_reg); + __Pyx_XDECREF(__pyx_v_progress); + __Pyx_XDECREF(__pyx_v_epoch); + __Pyx_XDECREF(__pyx_v_correct); + __Pyx_XDECREF(__pyx_v_skipped); + __Pyx_XDECREF(__pyx_v_loss); + __Pyx_XDECREF(__pyx_v_bpr_loss); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "cornac/models/comparer/recom_comparer_sub.pyx":475 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_mter( # <<<<<<<<<<<<<< + * self, + * RNGVector rng_pos_uia, + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_11_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static char __pyx_doc_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_10_fit_mter[] = "Fit the model parameters (G1, G2, G3, U, I, A, O)\n "; +static PyMethodDef __pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_11_fit_mter = {"_fit_mter", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_11_fit_mter, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_10_fit_mter}; +static PyObject *__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_11_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_signatures = 0; + PyObject *__pyx_v_args = 0; + PyObject *__pyx_v_kwargs = 0; + CYTHON_UNUSED PyObject *__pyx_v_defaults = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__pyx_fused_cpdef (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_signatures,&__pyx_n_s_args,&__pyx_n_s_kwargs,&__pyx_n_s_defaults,0}; + PyObject* values[4] = {0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_signatures)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_args)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_fused_cpdef", 1, 4, 4, 1); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_kwargs)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_fused_cpdef", 1, 4, 4, 2); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_defaults)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_fused_cpdef", 1, 4, 4, 3); __PYX_ERR(0, 475, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__pyx_fused_cpdef") < 0)) __PYX_ERR(0, 475, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 4) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + } + __pyx_v_signatures = values[0]; + __pyx_v_args = values[1]; + __pyx_v_kwargs = values[2]; + __pyx_v_defaults = values[3]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__pyx_fused_cpdef", 1, 4, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 475, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub.__pyx_fused_cpdef", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_10_fit_mter(__pyx_self, __pyx_v_signatures, __pyx_v_args, __pyx_v_kwargs, __pyx_v_defaults); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_10_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults) { + PyObject *__pyx_v_dest_sig = NULL; + Py_ssize_t __pyx_v_i; + PyTypeObject *__pyx_v_ndarray = 0; + __Pyx_memviewslice __pyx_v_memslice; + Py_ssize_t __pyx_v_itemsize; + int __pyx_v_dtype_signed; + char __pyx_v_kind; + int __pyx_v_short_is_signed; + int __pyx_v_int_is_signed; + int __pyx_v_long_is_signed; + PyObject *__pyx_v_arg = NULL; + PyObject *__pyx_v_dtype = NULL; + PyObject *__pyx_v_arg_base = NULL; + PyObject *__pyx_v_candidates = NULL; + PyObject *__pyx_v_sig = NULL; + int __pyx_v_match_found; + PyObject *__pyx_v_src_sig = NULL; + PyObject *__pyx_v_dst_type = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + Py_ssize_t __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + long __pyx_t_7; + __Pyx_memviewslice __pyx_t_8; + Py_ssize_t __pyx_t_9; + int __pyx_t_10; + int __pyx_t_11; + PyObject *__pyx_t_12 = NULL; + PyObject *__pyx_t_13 = NULL; + PyObject *__pyx_t_14 = NULL; + Py_ssize_t __pyx_t_15; + Py_ssize_t __pyx_t_16; + Py_ssize_t __pyx_t_17; + int __pyx_t_18; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_fit_mter", 0); + __Pyx_INCREF(__pyx_v_kwargs); + __pyx_t_1 = PyList_New(1 * 2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + { Py_ssize_t __pyx_temp; + for (__pyx_temp=0; __pyx_temp < 2; __pyx_temp++) { + __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(Py_None); + PyList_SET_ITEM(__pyx_t_1, __pyx_temp, Py_None); + } + } + __pyx_v_dest_sig = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_3 = (__pyx_v_kwargs != Py_None); + __pyx_t_4 = (__pyx_t_3 != 0); + if (__pyx_t_4) { + } else { + __pyx_t_2 = __pyx_t_4; + goto __pyx_L4_bool_binop_done; + } + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_v_kwargs); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + __pyx_t_3 = ((!__pyx_t_4) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L4_bool_binop_done:; + if (__pyx_t_2) { + __Pyx_INCREF(Py_None); + __Pyx_DECREF_SET(__pyx_v_kwargs, Py_None); + } + __pyx_t_1 = ((PyObject *)__Pyx_ImportNumPyArrayTypeIfAvailable()); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_ndarray = ((PyTypeObject*)__pyx_t_1); + __pyx_t_1 = 0; + __pyx_v_itemsize = -1L; + __pyx_v_short_is_signed = (!((((short)-1L) > 0) != 0)); + __pyx_v_int_is_signed = (!((((int)-1L) > 0) != 0)); + __pyx_v_long_is_signed = (!((((long)-1L) > 0) != 0)); + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_5 = PyTuple_GET_SIZE(((PyObject*)__pyx_v_args)); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 475, __pyx_L1_error) + __pyx_t_2 = ((8 < __pyx_t_5) != 0); + if (__pyx_t_2) { + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_1 = PyTuple_GET_ITEM(((PyObject*)__pyx_v_args), 8); + __Pyx_INCREF(__pyx_t_1); + __pyx_v_arg = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L6; + } + __pyx_t_3 = (__pyx_v_kwargs != Py_None); + __pyx_t_4 = (__pyx_t_3 != 0); + if (__pyx_t_4) { + } else { + __pyx_t_2 = __pyx_t_4; + goto __pyx_L7_bool_binop_done; + } + if (unlikely(__pyx_v_kwargs == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_4 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_X, ((PyObject*)__pyx_v_kwargs), Py_EQ)); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + __pyx_t_3 = (__pyx_t_4 != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L7_bool_binop_done:; + if (__pyx_t_2) { + if (unlikely(__pyx_v_kwargs == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_1 = __Pyx_PyDict_GetItem(((PyObject*)__pyx_v_kwargs), __pyx_n_s_X); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_arg = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L6; + } + /*else*/ { + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_5 = PyTuple_GET_SIZE(((PyObject*)__pyx_v_args)); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 475, __pyx_L1_error) + __pyx_t_1 = PyInt_FromSsize_t(__pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_6 = PyTuple_New(3); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_INCREF(__pyx_int_58); + __Pyx_GIVEREF(__pyx_int_58); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_int_58); + __Pyx_INCREF(__pyx_n_s_s); + __Pyx_GIVEREF(__pyx_n_s_s); + PyTuple_SET_ITEM(__pyx_t_6, 1, __pyx_n_s_s); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_6, 2, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyString_Format(__pyx_kp_s_Expected_at_least_d_argument_s_g, __pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_builtin_TypeError, __pyx_t_1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_Raise(__pyx_t_6, 0, 0, 0); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_L6:; + while (1) { + __pyx_t_2 = (__pyx_v_ndarray != ((PyTypeObject*)Py_None)); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_3 = __Pyx_TypeCheck(__pyx_v_arg, __pyx_v_ndarray); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_dtype); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_v_dtype = __pyx_t_6; + __pyx_t_6 = 0; + goto __pyx_L12; + } + __pyx_t_2 = __pyx_memoryview_check(__pyx_v_arg); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_base); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_v_arg_base = __pyx_t_6; + __pyx_t_6 = 0; + __pyx_t_3 = __Pyx_TypeCheck(__pyx_v_arg_base, __pyx_v_ndarray); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg_base, __pyx_n_s_dtype); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_v_dtype = __pyx_t_6; + __pyx_t_6 = 0; + goto __pyx_L13; + } + /*else*/ { + __Pyx_INCREF(Py_None); + __pyx_v_dtype = Py_None; + } + __pyx_L13:; + goto __pyx_L12; + } + /*else*/ { + __Pyx_INCREF(Py_None); + __pyx_v_dtype = Py_None; + } + __pyx_L12:; + __pyx_v_itemsize = -1L; + __pyx_t_2 = (__pyx_v_dtype != Py_None); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_itemsize); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_6); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_v_itemsize = __pyx_t_5; + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_kind); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = __Pyx_PyObject_Ord(__pyx_t_6); if (unlikely(__pyx_t_7 == ((long)(long)(Py_UCS4)-1))) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_v_kind = __pyx_t_7; + __pyx_v_dtype_signed = (__pyx_v_kind == 'i'); + switch (__pyx_v_kind) { + case 'i': + case 'u': + break; + case 'f': + __pyx_t_2 = (((sizeof(float)) == __pyx_v_itemsize) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_3 = __pyx_t_2; + goto __pyx_L16_bool_binop_done; + } + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_6); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_2 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L16_bool_binop_done:; + if (__pyx_t_3) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, __pyx_n_s_float, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + goto __pyx_L10_break; + } + __pyx_t_2 = (((sizeof(double)) == __pyx_v_itemsize) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_3 = __pyx_t_2; + goto __pyx_L19_bool_binop_done; + } + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_6); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_2 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L19_bool_binop_done:; + if (__pyx_t_3) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, __pyx_n_s_double, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + goto __pyx_L10_break; + } + break; + case 'c': + break; + case 'O': + break; + default: break; + } + } + } + __pyx_t_2 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_2) { + } else { + __pyx_t_3 = __pyx_t_2; + goto __pyx_L22_bool_binop_done; + } + __pyx_t_2 = ((__pyx_v_itemsize == (sizeof(float))) != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L22_bool_binop_done:; + if (__pyx_t_3) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_float(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_3 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_3) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, __pyx_n_s_float, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + goto __pyx_L10_break; + } + /*else*/ { + PyErr_Clear(); + } + } + __pyx_t_2 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_2) { + } else { + __pyx_t_3 = __pyx_t_2; + goto __pyx_L26_bool_binop_done; + } + __pyx_t_2 = ((__pyx_v_itemsize == (sizeof(double))) != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L26_bool_binop_done:; + if (__pyx_t_3) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_double(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_3 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_3) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, __pyx_n_s_double, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + goto __pyx_L10_break; + } + /*else*/ { + PyErr_Clear(); + } + } + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 0, Py_None, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + goto __pyx_L10_break; + } + __pyx_L10_break:; + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_5 = PyTuple_GET_SIZE(((PyObject*)__pyx_v_args)); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 475, __pyx_L1_error) + __pyx_t_3 = ((9 < __pyx_t_5) != 0); + if (__pyx_t_3) { + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_6 = PyTuple_GET_ITEM(((PyObject*)__pyx_v_args), 9); + __Pyx_INCREF(__pyx_t_6); + __Pyx_DECREF_SET(__pyx_v_arg, __pyx_t_6); + __pyx_t_6 = 0; + goto __pyx_L29; + } + __pyx_t_2 = (__pyx_v_kwargs != Py_None); + __pyx_t_4 = (__pyx_t_2 != 0); + if (__pyx_t_4) { + } else { + __pyx_t_3 = __pyx_t_4; + goto __pyx_L30_bool_binop_done; + } + if (unlikely(__pyx_v_kwargs == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_4 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_X_uids, ((PyObject*)__pyx_v_kwargs), Py_EQ)); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + __pyx_t_2 = (__pyx_t_4 != 0); + __pyx_t_3 = __pyx_t_2; + __pyx_L30_bool_binop_done:; + if (__pyx_t_3) { + if (unlikely(__pyx_v_kwargs == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_6 = __Pyx_PyDict_GetItem(((PyObject*)__pyx_v_kwargs), __pyx_n_s_X_uids); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF_SET(__pyx_v_arg, __pyx_t_6); + __pyx_t_6 = 0; + goto __pyx_L29; + } + /*else*/ { + if (unlikely(__pyx_v_args == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_5 = PyTuple_GET_SIZE(((PyObject*)__pyx_v_args)); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 475, __pyx_L1_error) + __pyx_t_6 = PyInt_FromSsize_t(__pyx_t_5); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_int_58); + __Pyx_GIVEREF(__pyx_int_58); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_int_58); + __Pyx_INCREF(__pyx_n_s_s); + __Pyx_GIVEREF(__pyx_n_s_s); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_n_s_s); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_t_6); + __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyString_Format(__pyx_kp_s_Expected_at_least_d_argument_s_g, __pyx_t_1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_TypeError, __pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_L29:; + while (1) { + __pyx_t_3 = (__pyx_v_ndarray != ((PyTypeObject*)Py_None)); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_2 = __Pyx_TypeCheck(__pyx_v_arg, __pyx_v_ndarray); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_dtype); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XDECREF_SET(__pyx_v_dtype, __pyx_t_1); + __pyx_t_1 = 0; + goto __pyx_L35; + } + __pyx_t_3 = __pyx_memoryview_check(__pyx_v_arg); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_base); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XDECREF_SET(__pyx_v_arg_base, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_2 = __Pyx_TypeCheck(__pyx_v_arg_base, __pyx_v_ndarray); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg_base, __pyx_n_s_dtype); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_XDECREF_SET(__pyx_v_dtype, __pyx_t_1); + __pyx_t_1 = 0; + goto __pyx_L36; + } + /*else*/ { + __Pyx_INCREF(Py_None); + __Pyx_XDECREF_SET(__pyx_v_dtype, Py_None); + } + __pyx_L36:; + goto __pyx_L35; + } + /*else*/ { + __Pyx_INCREF(Py_None); + __Pyx_XDECREF_SET(__pyx_v_dtype, Py_None); + } + __pyx_L35:; + __pyx_v_itemsize = -1L; + __pyx_t_3 = (__pyx_v_dtype != Py_None); + __pyx_t_2 = (__pyx_t_3 != 0); + if (__pyx_t_2) { + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_itemsize); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_itemsize = __pyx_t_5; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_kind); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_7 = __Pyx_PyObject_Ord(__pyx_t_1); if (unlikely(__pyx_t_7 == ((long)(long)(Py_UCS4)-1))) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_kind = __pyx_t_7; + __pyx_v_dtype_signed = (__pyx_v_kind == 'i'); + switch (__pyx_v_kind) { + case 'i': + case 'u': + __pyx_t_3 = (((sizeof(short)) == __pyx_v_itemsize) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L39_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L39_bool_binop_done; + } + __pyx_t_3 = ((!((__pyx_v_short_is_signed ^ __pyx_v_dtype_signed) != 0)) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L39_bool_binop_done:; + if (__pyx_t_2) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_short, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + goto __pyx_L33_break; + } + __pyx_t_3 = (((sizeof(int)) == __pyx_v_itemsize) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L43_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L43_bool_binop_done; + } + __pyx_t_3 = ((!((__pyx_v_int_is_signed ^ __pyx_v_dtype_signed) != 0)) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L43_bool_binop_done:; + if (__pyx_t_2) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_int, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + goto __pyx_L33_break; + } + __pyx_t_3 = (((sizeof(long)) == __pyx_v_itemsize) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L47_bool_binop_done; + } + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arg, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = ((((Py_ssize_t)__pyx_t_5) == 1) != 0); + if (__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L47_bool_binop_done; + } + __pyx_t_3 = ((!((__pyx_v_long_is_signed ^ __pyx_v_dtype_signed) != 0)) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L47_bool_binop_done:; + if (__pyx_t_2) { + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_long, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + goto __pyx_L33_break; + } + break; + case 'f': + break; + case 'c': + break; + case 'O': + break; + default: break; + } + } + } + __pyx_t_3 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L51_bool_binop_done; + } + __pyx_t_3 = ((__pyx_v_itemsize == (sizeof(short))) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L51_bool_binop_done:; + if (__pyx_t_2) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_short(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_2 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_2) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_short, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + goto __pyx_L33_break; + } + /*else*/ { + PyErr_Clear(); + } + } + __pyx_t_3 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L55_bool_binop_done; + } + __pyx_t_3 = ((__pyx_v_itemsize == (sizeof(int))) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L55_bool_binop_done:; + if (__pyx_t_2) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_int(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_2 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_2) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_int, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + goto __pyx_L33_break; + } + /*else*/ { + PyErr_Clear(); + } + } + __pyx_t_3 = ((__pyx_v_itemsize == -1L) != 0); + if (!__pyx_t_3) { + } else { + __pyx_t_2 = __pyx_t_3; + goto __pyx_L59_bool_binop_done; + } + __pyx_t_3 = ((__pyx_v_itemsize == (sizeof(long))) != 0); + __pyx_t_2 = __pyx_t_3; + __pyx_L59_bool_binop_done:; + if (__pyx_t_2) { + __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_long(__pyx_v_arg, 0); + __pyx_v_memslice = __pyx_t_8; + __pyx_t_2 = (__pyx_v_memslice.memview != 0); + if (__pyx_t_2) { + __PYX_XDEC_MEMVIEW((&__pyx_v_memslice), 1); + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, __pyx_n_s_long, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + goto __pyx_L33_break; + } + /*else*/ { + PyErr_Clear(); + } + } + if (unlikely(__Pyx_SetItemInt(__pyx_v_dest_sig, 1, Py_None, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + goto __pyx_L33_break; + } + __pyx_L33_break:; + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_candidates = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_5 = 0; + if (unlikely(__pyx_v_signatures == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_6 = __Pyx_dict_iterator(((PyObject*)__pyx_v_signatures), 1, ((PyObject *)NULL), (&__pyx_t_9), (&__pyx_t_10)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_1); + __pyx_t_1 = __pyx_t_6; + __pyx_t_6 = 0; + while (1) { + __pyx_t_11 = __Pyx_dict_iter_next(__pyx_t_1, __pyx_t_9, &__pyx_t_5, &__pyx_t_6, NULL, NULL, __pyx_t_10); + if (unlikely(__pyx_t_11 == 0)) break; + if (unlikely(__pyx_t_11 == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_XDECREF_SET(__pyx_v_sig, __pyx_t_6); + __pyx_t_6 = 0; + __pyx_v_match_found = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_sig, __pyx_n_s_strip); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __pyx_t_14 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_14)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_14); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_12 = (__pyx_t_14) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_14, __pyx_kp_s__6) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_kp_s__6); + __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0; + if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_12); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_split); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_13); + __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; + __pyx_t_12 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) { + __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13); + if (likely(__pyx_t_12)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13); + __Pyx_INCREF(__pyx_t_12); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_13, function); + } + } + __pyx_t_6 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_12, __pyx_kp_s__7) : __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_kp_s__7); + __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0; + if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + __Pyx_XDECREF_SET(__pyx_v_src_sig, __pyx_t_6); + __pyx_t_6 = 0; + __pyx_t_15 = PyList_GET_SIZE(__pyx_v_dest_sig); if (unlikely(__pyx_t_15 == ((Py_ssize_t)-1))) __PYX_ERR(0, 475, __pyx_L1_error) + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_i = __pyx_t_17; + __pyx_t_6 = PyList_GET_ITEM(__pyx_v_dest_sig, __pyx_v_i); + __Pyx_INCREF(__pyx_t_6); + __Pyx_XDECREF_SET(__pyx_v_dst_type, __pyx_t_6); + __pyx_t_6 = 0; + __pyx_t_2 = (__pyx_v_dst_type != Py_None); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + __pyx_t_6 = __Pyx_GetItemInt(__pyx_v_src_sig, __pyx_v_i, Py_ssize_t, 1, PyInt_FromSsize_t, 0, 0, 0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_13 = PyObject_RichCompare(__pyx_t_6, __pyx_v_dst_type, Py_EQ); __Pyx_XGOTREF(__pyx_t_13); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_13); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0; + if (__pyx_t_3) { + __pyx_v_match_found = 1; + goto __pyx_L67; + } + /*else*/ { + __pyx_v_match_found = 0; + goto __pyx_L65_break; + } + __pyx_L67:; + } + } + __pyx_L65_break:; + __pyx_t_3 = (__pyx_v_match_found != 0); + if (__pyx_t_3) { + __pyx_t_18 = __Pyx_PyList_Append(__pyx_v_candidates, __pyx_v_sig); if (unlikely(__pyx_t_18 == ((int)-1))) __PYX_ERR(0, 475, __pyx_L1_error) + } + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = (PyList_GET_SIZE(__pyx_v_candidates) != 0); + __pyx_t_2 = ((!__pyx_t_3) != 0); + if (__pyx_t_2) { + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__8, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_9 = PyList_GET_SIZE(__pyx_v_candidates); if (unlikely(__pyx_t_9 == ((Py_ssize_t)-1))) __PYX_ERR(0, 475, __pyx_L1_error) + __pyx_t_2 = ((__pyx_t_9 > 1) != 0); + if (__pyx_t_2) { + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__9, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(0, 475, __pyx_L1_error) + } + /*else*/ { + __Pyx_XDECREF(__pyx_r); + if (unlikely(__pyx_v_signatures == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_t_1 = __Pyx_PyDict_GetItem(((PyObject*)__pyx_v_signatures), PyList_GET_ITEM(__pyx_v_candidates, 0)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + } + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_12); + __Pyx_XDECREF(__pyx_t_13); + __Pyx_XDECREF(__pyx_t_14); + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub.__pyx_fused_cpdef", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_dest_sig); + __Pyx_XDECREF(__pyx_v_ndarray); + __Pyx_XDECREF(__pyx_v_arg); + __Pyx_XDECREF(__pyx_v_dtype); + __Pyx_XDECREF(__pyx_v_arg_base); + __Pyx_XDECREF(__pyx_v_candidates); + __Pyx_XDECREF(__pyx_v_sig); + __Pyx_XDECREF(__pyx_v_src_sig); + __Pyx_XDECREF(__pyx_v_dst_type); + __Pyx_XDECREF(__pyx_v_kwargs); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_0_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_13_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_0_0__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_13_fit_mter = {"__pyx_fuse_0_0_fit_mter", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_0_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_13_fit_mter, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_10_fit_mter}; +static PyObject *__pyx_fuse_0_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_13_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg = 0; + int __pyx_v_n_threads; + __Pyx_memviewslice __pyx_v_X = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_oids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_oids = { 0, 0, { 0 }, { 0 }, { 0 } }; + struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict = 0; + __Pyx_memviewslice __pyx_v_user_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_item_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_neg_item_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_indptr = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_p_user_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_earlier_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_later_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_aspect_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G3 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_I = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_O = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G3 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_U = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_I = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_O = { 0, 0, { 0 }, { 0 }, { 0 } }; + PyArrayObject *__pyx_v_del_g1 = 0; + PyArrayObject *__pyx_v_del_g2 = 0; + PyArrayObject *__pyx_v_del_g3 = 0; + PyArrayObject *__pyx_v_del_u = 0; + PyArrayObject *__pyx_v_del_i = 0; + PyArrayObject *__pyx_v_del_a = 0; + PyArrayObject *__pyx_v_del_o = 0; + PyArrayObject *__pyx_v_del_g1_reg = 0; + PyArrayObject *__pyx_v_del_g2_reg = 0; + PyArrayObject *__pyx_v_del_g3_reg = 0; + PyArrayObject *__pyx_v_del_u_reg = 0; + PyArrayObject *__pyx_v_del_i_reg = 0; + PyArrayObject *__pyx_v_del_a_reg = 0; + PyArrayObject *__pyx_v_del_o_reg = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_fit_mter (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_rng_pos_uia,&__pyx_n_s_rng_pos_uao,&__pyx_n_s_rng_pos_iao,&__pyx_n_s_rng_pos_pair,&__pyx_n_s_rng_pos,&__pyx_n_s_rng_neg,&__pyx_n_s_n_threads,&__pyx_n_s_X,&__pyx_n_s_X_uids,&__pyx_n_s_X_iids,&__pyx_n_s_X_aids,&__pyx_n_s_YU,&__pyx_n_s_YU_uids,&__pyx_n_s_YU_aids,&__pyx_n_s_YU_oids,&__pyx_n_s_YI,&__pyx_n_s_YI_iids,&__pyx_n_s_YI_aids,&__pyx_n_s_YI_oids,&__pyx_n_s_rating_dict,&__pyx_n_s_user_ids,&__pyx_n_s_item_ids,&__pyx_n_s_neg_item_ids,&__pyx_n_s_indptr,&__pyx_n_s_p_user_indices,&__pyx_n_s_earlier_indices,&__pyx_n_s_later_indices,&__pyx_n_s_aspect_indices,&__pyx_n_s_pair_counts,&__pyx_n_s_G1,&__pyx_n_s_G2,&__pyx_n_s_G3,&__pyx_n_s_U,&__pyx_n_s_I,&__pyx_n_s_A,&__pyx_n_s_O,&__pyx_n_s_sgrad_G1,&__pyx_n_s_sgrad_G2,&__pyx_n_s_sgrad_G3,&__pyx_n_s_sgrad_U,&__pyx_n_s_sgrad_I,&__pyx_n_s_sgrad_A,&__pyx_n_s_sgrad_O,&__pyx_n_s_del_g1,&__pyx_n_s_del_g2,&__pyx_n_s_del_g3,&__pyx_n_s_del_u,&__pyx_n_s_del_i,&__pyx_n_s_del_a,&__pyx_n_s_del_o,&__pyx_n_s_del_g1_reg,&__pyx_n_s_del_g2_reg,&__pyx_n_s_del_g3_reg,&__pyx_n_s_del_u_reg,&__pyx_n_s_del_i_reg,&__pyx_n_s_del_a_reg,&__pyx_n_s_del_o_reg,0}; + PyObject* values[58] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 58: values[57] = PyTuple_GET_ITEM(__pyx_args, 57); + CYTHON_FALLTHROUGH; + case 57: values[56] = PyTuple_GET_ITEM(__pyx_args, 56); + CYTHON_FALLTHROUGH; + case 56: values[55] = PyTuple_GET_ITEM(__pyx_args, 55); + CYTHON_FALLTHROUGH; + case 55: values[54] = PyTuple_GET_ITEM(__pyx_args, 54); + CYTHON_FALLTHROUGH; + case 54: values[53] = PyTuple_GET_ITEM(__pyx_args, 53); + CYTHON_FALLTHROUGH; + case 53: values[52] = PyTuple_GET_ITEM(__pyx_args, 52); + CYTHON_FALLTHROUGH; + case 52: values[51] = PyTuple_GET_ITEM(__pyx_args, 51); + CYTHON_FALLTHROUGH; + case 51: values[50] = PyTuple_GET_ITEM(__pyx_args, 50); + CYTHON_FALLTHROUGH; + case 50: values[49] = PyTuple_GET_ITEM(__pyx_args, 49); + CYTHON_FALLTHROUGH; + case 49: values[48] = PyTuple_GET_ITEM(__pyx_args, 48); + CYTHON_FALLTHROUGH; + case 48: values[47] = PyTuple_GET_ITEM(__pyx_args, 47); + CYTHON_FALLTHROUGH; + case 47: values[46] = PyTuple_GET_ITEM(__pyx_args, 46); + CYTHON_FALLTHROUGH; + case 46: values[45] = PyTuple_GET_ITEM(__pyx_args, 45); + CYTHON_FALLTHROUGH; + case 45: values[44] = PyTuple_GET_ITEM(__pyx_args, 44); + CYTHON_FALLTHROUGH; + case 44: values[43] = PyTuple_GET_ITEM(__pyx_args, 43); + CYTHON_FALLTHROUGH; + case 43: values[42] = PyTuple_GET_ITEM(__pyx_args, 42); + CYTHON_FALLTHROUGH; + case 42: values[41] = PyTuple_GET_ITEM(__pyx_args, 41); + CYTHON_FALLTHROUGH; + case 41: values[40] = PyTuple_GET_ITEM(__pyx_args, 40); + CYTHON_FALLTHROUGH; + case 40: values[39] = PyTuple_GET_ITEM(__pyx_args, 39); + CYTHON_FALLTHROUGH; + case 39: values[38] = PyTuple_GET_ITEM(__pyx_args, 38); + CYTHON_FALLTHROUGH; + case 38: values[37] = PyTuple_GET_ITEM(__pyx_args, 37); + CYTHON_FALLTHROUGH; + case 37: values[36] = PyTuple_GET_ITEM(__pyx_args, 36); + CYTHON_FALLTHROUGH; + case 36: values[35] = PyTuple_GET_ITEM(__pyx_args, 35); + CYTHON_FALLTHROUGH; + case 35: values[34] = PyTuple_GET_ITEM(__pyx_args, 34); + CYTHON_FALLTHROUGH; + case 34: values[33] = PyTuple_GET_ITEM(__pyx_args, 33); + CYTHON_FALLTHROUGH; + case 33: values[32] = PyTuple_GET_ITEM(__pyx_args, 32); + CYTHON_FALLTHROUGH; + case 32: values[31] = PyTuple_GET_ITEM(__pyx_args, 31); + CYTHON_FALLTHROUGH; + case 31: values[30] = PyTuple_GET_ITEM(__pyx_args, 30); + CYTHON_FALLTHROUGH; + case 30: values[29] = PyTuple_GET_ITEM(__pyx_args, 29); + CYTHON_FALLTHROUGH; + case 29: values[28] = PyTuple_GET_ITEM(__pyx_args, 28); + CYTHON_FALLTHROUGH; + case 28: values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + CYTHON_FALLTHROUGH; + case 27: values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + CYTHON_FALLTHROUGH; + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_uia)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 1); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_uao)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 2); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_iao)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 3); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_pair)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 4); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 5); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_neg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 6); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 7); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 8); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 9); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 10: + if (likely((values[10] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 10); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 11: + if (likely((values[11] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 11); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 12: + if (likely((values[12] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 12); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 13: + if (likely((values[13] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 13); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 14: + if (likely((values[14] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 14); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 15: + if (likely((values[15] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_oids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 15); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 16: + if (likely((values[16] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 16); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 17: + if (likely((values[17] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 17); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 18: + if (likely((values[18] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 18); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 19: + if (likely((values[19] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_oids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 19); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 20: + if (likely((values[20] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rating_dict)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 20); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 21: + if (likely((values[21] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_user_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 21); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 22: + if (likely((values[22] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_item_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 22); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 23: + if (likely((values[23] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neg_item_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 23); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 24: + if (likely((values[24] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_indptr)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 24); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 25: + if (likely((values[25] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_p_user_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 25); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 26: + if (likely((values[26] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_earlier_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 26); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 27: + if (likely((values[27] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_later_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 27); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 28: + if (likely((values[28] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_aspect_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 28); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 29: + if (likely((values[29] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pair_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 29); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 30: + if (likely((values[30] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 30); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 31: + if (likely((values[31] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 31); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 32: + if (likely((values[32] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 32); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 33: + if (likely((values[33] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 33); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 34: + if (likely((values[34] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_I)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 34); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 35: + if (likely((values[35] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 35); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 36: + if (likely((values[36] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_O)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 36); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 37: + if (likely((values[37] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 37); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 38: + if (likely((values[38] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 38); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 39: + if (likely((values[39] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 39); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 40: + if (likely((values[40] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_U)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 40); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 41: + if (likely((values[41] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_I)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 41); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 42: + if (likely((values[42] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 42); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 43: + if (likely((values[43] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_O)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 43); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 44: + if (likely((values[44] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 44); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 45: + if (likely((values[45] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 45); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 46: + if (likely((values[46] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 46); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 47: + if (likely((values[47] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_u)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 47); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 48: + if (likely((values[48] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_i)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 48); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 49: + if (likely((values[49] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_a)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 49); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 50: + if (likely((values[50] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_o)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 50); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 51: + if (likely((values[51] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g1_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 51); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 52: + if (likely((values[52] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g2_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 52); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 53: + if (likely((values[53] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g3_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 53); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 54: + if (likely((values[54] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_u_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 54); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 55: + if (likely((values[55] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_i_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 55); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 56: + if (likely((values[56] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_a_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 56); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 57: + if (likely((values[57] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_o_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 57); __PYX_ERR(0, 475, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_fit_mter") < 0)) __PYX_ERR(0, 475, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 58) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + values[28] = PyTuple_GET_ITEM(__pyx_args, 28); + values[29] = PyTuple_GET_ITEM(__pyx_args, 29); + values[30] = PyTuple_GET_ITEM(__pyx_args, 30); + values[31] = PyTuple_GET_ITEM(__pyx_args, 31); + values[32] = PyTuple_GET_ITEM(__pyx_args, 32); + values[33] = PyTuple_GET_ITEM(__pyx_args, 33); + values[34] = PyTuple_GET_ITEM(__pyx_args, 34); + values[35] = PyTuple_GET_ITEM(__pyx_args, 35); + values[36] = PyTuple_GET_ITEM(__pyx_args, 36); + values[37] = PyTuple_GET_ITEM(__pyx_args, 37); + values[38] = PyTuple_GET_ITEM(__pyx_args, 38); + values[39] = PyTuple_GET_ITEM(__pyx_args, 39); + values[40] = PyTuple_GET_ITEM(__pyx_args, 40); + values[41] = PyTuple_GET_ITEM(__pyx_args, 41); + values[42] = PyTuple_GET_ITEM(__pyx_args, 42); + values[43] = PyTuple_GET_ITEM(__pyx_args, 43); + values[44] = PyTuple_GET_ITEM(__pyx_args, 44); + values[45] = PyTuple_GET_ITEM(__pyx_args, 45); + values[46] = PyTuple_GET_ITEM(__pyx_args, 46); + values[47] = PyTuple_GET_ITEM(__pyx_args, 47); + values[48] = PyTuple_GET_ITEM(__pyx_args, 48); + values[49] = PyTuple_GET_ITEM(__pyx_args, 49); + values[50] = PyTuple_GET_ITEM(__pyx_args, 50); + values[51] = PyTuple_GET_ITEM(__pyx_args, 51); + values[52] = PyTuple_GET_ITEM(__pyx_args, 52); + values[53] = PyTuple_GET_ITEM(__pyx_args, 53); + values[54] = PyTuple_GET_ITEM(__pyx_args, 54); + values[55] = PyTuple_GET_ITEM(__pyx_args, 55); + values[56] = PyTuple_GET_ITEM(__pyx_args, 56); + values[57] = PyTuple_GET_ITEM(__pyx_args, 57); + } + __pyx_v_self = values[0]; + __pyx_v_rng_pos_uia = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[1]); + __pyx_v_rng_pos_uao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[2]); + __pyx_v_rng_pos_iao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[3]); + __pyx_v_rng_pos_pair = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[4]); + __pyx_v_rng_pos = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[5]); + __pyx_v_rng_neg = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[6]); + __pyx_v_n_threads = __Pyx_PyInt_As_int(values[7]); if (unlikely((__pyx_v_n_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 483, __pyx_L3_error) + __pyx_v_X = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_uids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[10], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_iids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[11], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_YU = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[12], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[13], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_uids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[14], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_aids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_oids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[15], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_oids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YI = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[16], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[17], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_iids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[18], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_aids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_oids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[19], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_oids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_rating_dict = ((struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *)values[20]); + __pyx_v_user_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[21], PyBUF_WRITABLE); if (unlikely(!__pyx_v_user_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_item_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[22], PyBUF_WRITABLE); if (unlikely(!__pyx_v_item_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_neg_item_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[23], PyBUF_WRITABLE); if (unlikely(!__pyx_v_neg_item_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_indptr = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[24], PyBUF_WRITABLE); if (unlikely(!__pyx_v_indptr.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_p_user_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[25], PyBUF_WRITABLE); if (unlikely(!__pyx_v_p_user_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_earlier_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[26], PyBUF_WRITABLE); if (unlikely(!__pyx_v_earlier_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_later_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[27], PyBUF_WRITABLE); if (unlikely(!__pyx_v_later_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_aspect_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[28], PyBUF_WRITABLE); if (unlikely(!__pyx_v_aspect_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_pair_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[29], PyBUF_WRITABLE); if (unlikely(!__pyx_v_pair_counts.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_G1 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[30], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G1.memview)) __PYX_ERR(0, 490, __pyx_L3_error) + __pyx_v_G2 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[31], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G2.memview)) __PYX_ERR(0, 491, __pyx_L3_error) + __pyx_v_G3 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[32], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G3.memview)) __PYX_ERR(0, 492, __pyx_L3_error) + __pyx_v_U = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[33], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U.memview)) __PYX_ERR(0, 493, __pyx_L3_error) + __pyx_v_I = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[34], PyBUF_WRITABLE); if (unlikely(!__pyx_v_I.memview)) __PYX_ERR(0, 494, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[35], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 495, __pyx_L3_error) + __pyx_v_O = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[36], PyBUF_WRITABLE); if (unlikely(!__pyx_v_O.memview)) __PYX_ERR(0, 496, __pyx_L3_error) + __pyx_v_sgrad_G1 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[37], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G1.memview)) __PYX_ERR(0, 497, __pyx_L3_error) + __pyx_v_sgrad_G2 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[38], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G2.memview)) __PYX_ERR(0, 498, __pyx_L3_error) + __pyx_v_sgrad_G3 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[39], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G3.memview)) __PYX_ERR(0, 499, __pyx_L3_error) + __pyx_v_sgrad_U = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[40], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_U.memview)) __PYX_ERR(0, 500, __pyx_L3_error) + __pyx_v_sgrad_I = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[41], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_I.memview)) __PYX_ERR(0, 501, __pyx_L3_error) + __pyx_v_sgrad_A = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[42], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_A.memview)) __PYX_ERR(0, 502, __pyx_L3_error) + __pyx_v_sgrad_O = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[43], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_O.memview)) __PYX_ERR(0, 503, __pyx_L3_error) + __pyx_v_del_g1 = ((PyArrayObject *)values[44]); + __pyx_v_del_g2 = ((PyArrayObject *)values[45]); + __pyx_v_del_g3 = ((PyArrayObject *)values[46]); + __pyx_v_del_u = ((PyArrayObject *)values[47]); + __pyx_v_del_i = ((PyArrayObject *)values[48]); + __pyx_v_del_a = ((PyArrayObject *)values[49]); + __pyx_v_del_o = ((PyArrayObject *)values[50]); + __pyx_v_del_g1_reg = ((PyArrayObject *)values[51]); + __pyx_v_del_g2_reg = ((PyArrayObject *)values[52]); + __pyx_v_del_g3_reg = ((PyArrayObject *)values[53]); + __pyx_v_del_u_reg = ((PyArrayObject *)values[54]); + __pyx_v_del_i_reg = ((PyArrayObject *)values[55]); + __pyx_v_del_a_reg = ((PyArrayObject *)values[56]); + __pyx_v_del_o_reg = ((PyArrayObject *)values[57]); + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 475, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._fit_mter", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_uia), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_uia", 0))) __PYX_ERR(0, 477, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_uao), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_uao", 0))) __PYX_ERR(0, 478, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_iao), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_iao", 0))) __PYX_ERR(0, 479, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_pair), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_pair", 0))) __PYX_ERR(0, 480, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos", 0))) __PYX_ERR(0, 481, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_neg), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_neg", 0))) __PYX_ERR(0, 482, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rating_dict), __pyx_ptype_6cornac_5utils_9fast_dict_IntFloatDict, 1, "rating_dict", 0))) __PYX_ERR(0, 487, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g1), __pyx_ptype_5numpy_ndarray, 1, "del_g1", 0))) __PYX_ERR(0, 504, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g2), __pyx_ptype_5numpy_ndarray, 1, "del_g2", 0))) __PYX_ERR(0, 505, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g3), __pyx_ptype_5numpy_ndarray, 1, "del_g3", 0))) __PYX_ERR(0, 506, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_u), __pyx_ptype_5numpy_ndarray, 1, "del_u", 0))) __PYX_ERR(0, 507, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_i), __pyx_ptype_5numpy_ndarray, 1, "del_i", 0))) __PYX_ERR(0, 508, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_a), __pyx_ptype_5numpy_ndarray, 1, "del_a", 0))) __PYX_ERR(0, 509, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_o), __pyx_ptype_5numpy_ndarray, 1, "del_o", 0))) __PYX_ERR(0, 510, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g1_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g1_reg", 0))) __PYX_ERR(0, 511, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g2_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g2_reg", 0))) __PYX_ERR(0, 512, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g3_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g3_reg", 0))) __PYX_ERR(0, 513, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_u_reg), __pyx_ptype_5numpy_ndarray, 1, "del_u_reg", 0))) __PYX_ERR(0, 514, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_i_reg), __pyx_ptype_5numpy_ndarray, 1, "del_i_reg", 0))) __PYX_ERR(0, 515, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_a_reg), __pyx_ptype_5numpy_ndarray, 1, "del_a_reg", 0))) __PYX_ERR(0, 516, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_o_reg), __pyx_ptype_5numpy_ndarray, 1, "del_o_reg", 0))) __PYX_ERR(0, 517, __pyx_L1_error) + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_12_fit_mter(__pyx_self, __pyx_v_self, __pyx_v_rng_pos_uia, __pyx_v_rng_pos_uao, __pyx_v_rng_pos_iao, __pyx_v_rng_pos_pair, __pyx_v_rng_pos, __pyx_v_rng_neg, __pyx_v_n_threads, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_iids, __pyx_v_X_aids, __pyx_v_YU, __pyx_v_YU_uids, __pyx_v_YU_aids, __pyx_v_YU_oids, __pyx_v_YI, __pyx_v_YI_iids, __pyx_v_YI_aids, __pyx_v_YI_oids, __pyx_v_rating_dict, __pyx_v_user_ids, __pyx_v_item_ids, __pyx_v_neg_item_ids, __pyx_v_indptr, __pyx_v_p_user_indices, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_v_G1, __pyx_v_G2, __pyx_v_G3, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_O, __pyx_v_sgrad_G1, __pyx_v_sgrad_G2, __pyx_v_sgrad_G3, __pyx_v_sgrad_U, __pyx_v_sgrad_I, __pyx_v_sgrad_A, __pyx_v_sgrad_O, __pyx_v_del_g1, __pyx_v_del_g2, __pyx_v_del_g3, __pyx_v_del_u, __pyx_v_del_i, __pyx_v_del_a, __pyx_v_del_o, __pyx_v_del_g1_reg, __pyx_v_del_g2_reg, __pyx_v_del_g3_reg, __pyx_v_del_u_reg, __pyx_v_del_i_reg, __pyx_v_del_a_reg, __pyx_v_del_o_reg); + + /* function exit code */ + goto __pyx_L0; + __pyx_L1_error:; + __pyx_r = NULL; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_12_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg, int __pyx_v_n_threads, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_iids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_YU, __Pyx_memviewslice __pyx_v_YU_uids, __Pyx_memviewslice __pyx_v_YU_aids, __Pyx_memviewslice __pyx_v_YU_oids, __Pyx_memviewslice __pyx_v_YI, __Pyx_memviewslice __pyx_v_YI_iids, __Pyx_memviewslice __pyx_v_YI_aids, __Pyx_memviewslice __pyx_v_YI_oids, struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict, __Pyx_memviewslice __pyx_v_user_ids, __Pyx_memviewslice __pyx_v_item_ids, __Pyx_memviewslice __pyx_v_neg_item_ids, __Pyx_memviewslice __pyx_v_indptr, __Pyx_memviewslice __pyx_v_p_user_indices, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_G1, __Pyx_memviewslice __pyx_v_G2, __Pyx_memviewslice __pyx_v_G3, __Pyx_memviewslice __pyx_v_U, __Pyx_memviewslice __pyx_v_I, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_O, __Pyx_memviewslice __pyx_v_sgrad_G1, __Pyx_memviewslice __pyx_v_sgrad_G2, __Pyx_memviewslice __pyx_v_sgrad_G3, __Pyx_memviewslice __pyx_v_sgrad_U, __Pyx_memviewslice __pyx_v_sgrad_I, __Pyx_memviewslice __pyx_v_sgrad_A, __Pyx_memviewslice __pyx_v_sgrad_O, PyArrayObject *__pyx_v_del_g1, PyArrayObject *__pyx_v_del_g2, PyArrayObject *__pyx_v_del_g3, PyArrayObject *__pyx_v_del_u, PyArrayObject *__pyx_v_del_i, PyArrayObject *__pyx_v_del_a, PyArrayObject *__pyx_v_del_o, PyArrayObject *__pyx_v_del_g1_reg, PyArrayObject *__pyx_v_del_g2_reg, PyArrayObject *__pyx_v_del_g3_reg, PyArrayObject *__pyx_v_del_u_reg, PyArrayObject *__pyx_v_del_i_reg, PyArrayObject *__pyx_v_del_a_reg, PyArrayObject *__pyx_v_del_o_reg) { + long __pyx_v_s; + long __pyx_v_correct; + long __pyx_v_skipped; + long __pyx_v_aspect_correct; + long __pyx_v_n_users; + long __pyx_v_n_items; + long __pyx_v_n_aspects; + CYTHON_UNUSED long __pyx_v_n_opinions; + long __pyx_v_n_user_factors; + long __pyx_v_n_item_factors; + long __pyx_v_n_aspect_factors; + long __pyx_v_n_opinion_factors; + CYTHON_UNUSED int __pyx_v_num_samples; + CYTHON_UNUSED int __pyx_v_num_bpr_samples; + CYTHON_UNUSED int __pyx_v_num_pair_samples; + CYTHON_UNUSED short __pyx_v__; + short __pyx_v_i; + short __pyx_v_j; + short __pyx_v_k; + short __pyx_v_idx; + short __pyx_v_jdx; + short __pyx_v_u_idx; + short __pyx_v_i_idx; + short __pyx_v_a_idx; + short __pyx_v_o_idx; + short __pyx_v_j_idx; + short __pyx_v_thread_id; + float __pyx_v_z; + float __pyx_v_score; + float __pyx_v_i_score; + float __pyx_v_j_score; + float __pyx_v_pred; + float __pyx_v_i_ij; + float __pyx_v_a_ji; + float __pyx_v_loss; + float __pyx_v_bpr_loss; + float __pyx_v_aspect_bpr_loss; + float __pyx_v_del_sqerror; + float __pyx_v_del_bpr; + float __pyx_v_del_aspect_bpr; + float __pyx_v_eps; + float __pyx_v_lr; + float __pyx_v_ld_reg; + float __pyx_v_ld_bpr; + float __pyx_v_lambda_d; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_a; + __Pyx_Buffer __pyx_pybuffer_del_a; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_a_reg; + __Pyx_Buffer __pyx_pybuffer_del_a_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g1; + __Pyx_Buffer __pyx_pybuffer_del_g1; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g1_reg; + __Pyx_Buffer __pyx_pybuffer_del_g1_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g2; + __Pyx_Buffer __pyx_pybuffer_del_g2; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g2_reg; + __Pyx_Buffer __pyx_pybuffer_del_g2_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g3; + __Pyx_Buffer __pyx_pybuffer_del_g3; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g3_reg; + __Pyx_Buffer __pyx_pybuffer_del_g3_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_i; + __Pyx_Buffer __pyx_pybuffer_del_i; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_i_reg; + __Pyx_Buffer __pyx_pybuffer_del_i_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_o; + __Pyx_Buffer __pyx_pybuffer_del_o; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_o_reg; + __Pyx_Buffer __pyx_pybuffer_del_o_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_u; + __Pyx_Buffer __pyx_pybuffer_del_u; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_u_reg; + __Pyx_Buffer __pyx_pybuffer_del_u_reg; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + long __pyx_t_3; + int __pyx_t_4; + float __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + int __pyx_t_7; + int __pyx_t_8; + Py_ssize_t __pyx_t_9; + long __pyx_t_10; + short __pyx_t_11; + long __pyx_t_12; + long __pyx_t_13; + short __pyx_t_14; + long __pyx_t_15; + long __pyx_t_16; + short __pyx_t_17; + Py_ssize_t __pyx_t_18; + Py_ssize_t __pyx_t_19; + Py_ssize_t __pyx_t_20; + Py_ssize_t __pyx_t_21; + Py_ssize_t __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + Py_ssize_t __pyx_t_25; + int __pyx_t_26; + long __pyx_t_27; + PyObject *__pyx_t_28 = NULL; + PyObject *__pyx_t_29 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_0_0_fit_mter", 0); + __pyx_pybuffer_del_g1.pybuffer.buf = NULL; + __pyx_pybuffer_del_g1.refcount = 0; + __pyx_pybuffernd_del_g1.data = NULL; + __pyx_pybuffernd_del_g1.rcbuffer = &__pyx_pybuffer_del_g1; + __pyx_pybuffer_del_g2.pybuffer.buf = NULL; + __pyx_pybuffer_del_g2.refcount = 0; + __pyx_pybuffernd_del_g2.data = NULL; + __pyx_pybuffernd_del_g2.rcbuffer = &__pyx_pybuffer_del_g2; + __pyx_pybuffer_del_g3.pybuffer.buf = NULL; + __pyx_pybuffer_del_g3.refcount = 0; + __pyx_pybuffernd_del_g3.data = NULL; + __pyx_pybuffernd_del_g3.rcbuffer = &__pyx_pybuffer_del_g3; + __pyx_pybuffer_del_u.pybuffer.buf = NULL; + __pyx_pybuffer_del_u.refcount = 0; + __pyx_pybuffernd_del_u.data = NULL; + __pyx_pybuffernd_del_u.rcbuffer = &__pyx_pybuffer_del_u; + __pyx_pybuffer_del_i.pybuffer.buf = NULL; + __pyx_pybuffer_del_i.refcount = 0; + __pyx_pybuffernd_del_i.data = NULL; + __pyx_pybuffernd_del_i.rcbuffer = &__pyx_pybuffer_del_i; + __pyx_pybuffer_del_a.pybuffer.buf = NULL; + __pyx_pybuffer_del_a.refcount = 0; + __pyx_pybuffernd_del_a.data = NULL; + __pyx_pybuffernd_del_a.rcbuffer = &__pyx_pybuffer_del_a; + __pyx_pybuffer_del_o.pybuffer.buf = NULL; + __pyx_pybuffer_del_o.refcount = 0; + __pyx_pybuffernd_del_o.data = NULL; + __pyx_pybuffernd_del_o.rcbuffer = &__pyx_pybuffer_del_o; + __pyx_pybuffer_del_g1_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g1_reg.refcount = 0; + __pyx_pybuffernd_del_g1_reg.data = NULL; + __pyx_pybuffernd_del_g1_reg.rcbuffer = &__pyx_pybuffer_del_g1_reg; + __pyx_pybuffer_del_g2_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g2_reg.refcount = 0; + __pyx_pybuffernd_del_g2_reg.data = NULL; + __pyx_pybuffernd_del_g2_reg.rcbuffer = &__pyx_pybuffer_del_g2_reg; + __pyx_pybuffer_del_g3_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g3_reg.refcount = 0; + __pyx_pybuffernd_del_g3_reg.data = NULL; + __pyx_pybuffernd_del_g3_reg.rcbuffer = &__pyx_pybuffer_del_g3_reg; + __pyx_pybuffer_del_u_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_u_reg.refcount = 0; + __pyx_pybuffernd_del_u_reg.data = NULL; + __pyx_pybuffernd_del_u_reg.rcbuffer = &__pyx_pybuffer_del_u_reg; + __pyx_pybuffer_del_i_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_i_reg.refcount = 0; + __pyx_pybuffernd_del_i_reg.data = NULL; + __pyx_pybuffernd_del_i_reg.rcbuffer = &__pyx_pybuffer_del_i_reg; + __pyx_pybuffer_del_a_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_a_reg.refcount = 0; + __pyx_pybuffernd_del_a_reg.data = NULL; + __pyx_pybuffernd_del_a_reg.rcbuffer = &__pyx_pybuffer_del_a_reg; + __pyx_pybuffer_del_o_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_o_reg.refcount = 0; + __pyx_pybuffernd_del_o_reg.data = NULL; + __pyx_pybuffernd_del_o_reg.rcbuffer = &__pyx_pybuffer_del_o_reg; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g1.diminfo[0].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g1.diminfo[0].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g1.diminfo[1].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g1.diminfo[1].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g1.diminfo[2].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g1.diminfo[2].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g2, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g2.diminfo[0].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g2.diminfo[0].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g2.diminfo[1].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g2.diminfo[1].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g2.diminfo[2].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g2.diminfo[2].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g3, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g3.diminfo[0].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g3.diminfo[0].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g3.diminfo[1].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g3.diminfo[1].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g3.diminfo[2].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g3.diminfo[2].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_u, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_u.diminfo[0].strides = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_u.diminfo[0].shape = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_u.diminfo[1].strides = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_u.diminfo[1].shape = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_i, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_i.diminfo[0].strides = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_i.diminfo[0].shape = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_i.diminfo[1].strides = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_i.diminfo[1].shape = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_a, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_a.diminfo[0].strides = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_a.diminfo[0].shape = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_a.diminfo[1].strides = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_a.diminfo[1].shape = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_o, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_o.diminfo[0].strides = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_o.diminfo[0].shape = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_o.diminfo[1].strides = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_o.diminfo[1].shape = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g1_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g1_reg.diminfo[0].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g1_reg.diminfo[0].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g1_reg.diminfo[1].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g1_reg.diminfo[1].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g1_reg.diminfo[2].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g1_reg.diminfo[2].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g2_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g2_reg.diminfo[0].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g2_reg.diminfo[0].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g2_reg.diminfo[1].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g2_reg.diminfo[1].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g2_reg.diminfo[2].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g2_reg.diminfo[2].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g3_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g3_reg.diminfo[0].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g3_reg.diminfo[0].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g3_reg.diminfo[1].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g3_reg.diminfo[1].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g3_reg.diminfo[2].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g3_reg.diminfo[2].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_u_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_u_reg.diminfo[0].strides = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_u_reg.diminfo[0].shape = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_u_reg.diminfo[1].strides = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_u_reg.diminfo[1].shape = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_i_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_i_reg.diminfo[0].strides = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_i_reg.diminfo[0].shape = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_i_reg.diminfo[1].strides = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_i_reg.diminfo[1].shape = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_a_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_a_reg.diminfo[0].strides = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_a_reg.diminfo[0].shape = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_a_reg.diminfo[1].strides = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_a_reg.diminfo[1].shape = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_o_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_o_reg.diminfo[0].strides = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_o_reg.diminfo[0].shape = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_o_reg.diminfo[1].strides = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_o_reg.diminfo[1].shape = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.shape[1]; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":521 + * """ + * cdef: + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 # <<<<<<<<<<<<<< + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items + */ + __pyx_v_correct = 0; + __pyx_v_skipped = 0; + __pyx_v_aspect_correct = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":522 + * cdef: + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + * long n_users = self.train_set.num_users # <<<<<<<<<<<<<< + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_users); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_2); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_n_users = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":523 + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items # <<<<<<<<<<<<<< + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_items); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_items = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":524 + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects # <<<<<<<<<<<<<< + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_aspects = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":525 + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions # <<<<<<<<<<<<<< + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_opinions); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_opinions = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":526 + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors # <<<<<<<<<<<<<< + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_user_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_user_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":527 + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors # <<<<<<<<<<<<<< + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_item_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_item_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":528 + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors # <<<<<<<<<<<<<< + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_aspect_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_aspect_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":529 + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors # <<<<<<<<<<<<<< + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_opinion_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_opinion_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":530 + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples # <<<<<<<<<<<<<< + * int num_bpr_samples = self.n_bpr_samples + * int num_pair_samples = self.n_pair_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_element_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 530, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 530, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":531 + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples # <<<<<<<<<<<<<< + * int num_pair_samples = self.n_pair_samples + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_bpr_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 531, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 531, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_bpr_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":532 + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples + * int num_pair_samples = self.n_pair_samples # <<<<<<<<<<<<<< + * + * integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_pair_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_pair_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":536 + * integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + * floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + * floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr # <<<<<<<<<<<<<< + * floating eps = 1e-9 + * + */ + __pyx_v_loss = 0.; + __pyx_v_bpr_loss = 0.; + __pyx_v_aspect_bpr_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":537 + * floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + * floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr + * floating eps = 1e-9 # <<<<<<<<<<<<<< + * + * floating lr = self.lr + */ + __pyx_v_eps = 1e-9; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":539 + * floating eps = 1e-9 + * + * floating lr = self.lr # <<<<<<<<<<<<<< + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_lr = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":540 + * + * floating lr = self.lr + * floating ld_reg = self.lambda_reg # <<<<<<<<<<<<<< + * floating ld_bpr = self.lambda_bpr + * floating lambda_d = self.lambda_d + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_reg); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_ld_reg = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":541 + * floating lr = self.lr + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr # <<<<<<<<<<<<<< + * floating lambda_d = self.lambda_d + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_bpr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 541, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 541, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_ld_bpr = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":542 + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr + * floating lambda_d = self.lambda_d # <<<<<<<<<<<<<< + * + * del_g1.fill(0) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 542, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 542, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_lambda_d = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":544 + * floating lambda_d = self.lambda_d + * + * del_g1.fill(0) # <<<<<<<<<<<<<< + * del_g2.fill(0) + * del_g3.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g1), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 544, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 544, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":545 + * + * del_g1.fill(0) + * del_g2.fill(0) # <<<<<<<<<<<<<< + * del_g3.fill(0) + * del_u.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g2), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":546 + * del_g1.fill(0) + * del_g2.fill(0) + * del_g3.fill(0) # <<<<<<<<<<<<<< + * del_u.fill(0) + * del_i.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g3), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":547 + * del_g2.fill(0) + * del_g3.fill(0) + * del_u.fill(0) # <<<<<<<<<<<<<< + * del_i.fill(0) + * del_a.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_u), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":548 + * del_g3.fill(0) + * del_u.fill(0) + * del_i.fill(0) # <<<<<<<<<<<<<< + * del_a.fill(0) + * del_o.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_i), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 548, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 548, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":549 + * del_u.fill(0) + * del_i.fill(0) + * del_a.fill(0) # <<<<<<<<<<<<<< + * del_o.fill(0) + * del_g1_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_a), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":550 + * del_i.fill(0) + * del_a.fill(0) + * del_o.fill(0) # <<<<<<<<<<<<<< + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_o), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":551 + * del_a.fill(0) + * del_o.fill(0) + * del_g1_reg.fill(0) # <<<<<<<<<<<<<< + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g1_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":552 + * del_o.fill(0) + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) # <<<<<<<<<<<<<< + * del_g3_reg.fill(0) + * del_u_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g2_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":553 + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) # <<<<<<<<<<<<<< + * del_u_reg.fill(0) + * del_i_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g3_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":554 + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) + * del_u_reg.fill(0) # <<<<<<<<<<<<<< + * del_i_reg.fill(0) + * del_a_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_u_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":555 + * del_g3_reg.fill(0) + * del_u_reg.fill(0) + * del_i_reg.fill(0) # <<<<<<<<<<<<<< + * del_a_reg.fill(0) + * del_o_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_i_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 555, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 555, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":556 + * del_u_reg.fill(0) + * del_i_reg.fill(0) + * del_a_reg.fill(0) # <<<<<<<<<<<<<< + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_a_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":557 + * del_i_reg.fill(0) + * del_a_reg.fill(0) + * del_o_reg.fill(0) # <<<<<<<<<<<<<< + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_o_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":558 + * del_a_reg.fill(0) + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel private(__pyx_v_thread_id) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_bpr_loss) reduction(+:__pyx_v_correct) reduction(+:__pyx_v_skipped) reduction(+:__pyx_v_aspect_bpr_loss) reduction(+:__pyx_v_aspect_correct) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_3, __pyx_t_4, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) + #endif /* _OPENMP */ + { + /* Initialize private variables to invalid values */ + __pyx_v_thread_id = ((short)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":559 + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() # <<<<<<<<<<<<<< + * for _ in prange(num_samples, schedule='guided'): + * # get user item aspect element + */ + __pyx_v_thread_id = recom_bpr::get_thread_num(); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":560 + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): # <<<<<<<<<<<<<< + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) + */ + __pyx_t_4 = __pyx_v_num_samples; + if ((1 == 0)) abort(); + { + __pyx_t_8 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_8 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_a_idx) lastprivate(__pyx_v_del_sqerror) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_o_idx) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_score) lastprivate(__pyx_v_u_idx) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_8; __pyx_t_7++){ + { + __pyx_v__ = (short)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_a_idx = ((short)0xbad0bad0); + __pyx_v_del_sqerror = ((float)__PYX_NAN()); + __pyx_v_i = ((short)0xbad0bad0); + __pyx_v_i_idx = ((short)0xbad0bad0); + __pyx_v_idx = ((short)0xbad0bad0); + __pyx_v_j = ((short)0xbad0bad0); + __pyx_v_k = ((short)0xbad0bad0); + __pyx_v_o_idx = ((short)0xbad0bad0); + __pyx_v_pred = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + __pyx_v_u_idx = ((short)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":562 + * for _ in prange(num_samples, schedule='guided'): + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_uia->__pyx_vtab)->generate(__pyx_v_rng_pos_uia, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":563 + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) + * u_idx = X_uids[idx] # <<<<<<<<<<<<<< + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_u_idx = (*((short *) ( /* dim=0 */ (__pyx_v_X_uids.data + __pyx_t_9 * __pyx_v_X_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":564 + * idx = rng_pos_uia.generate(thread_id) + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] # <<<<<<<<<<<<<< + * a_idx = X_aids[idx] + * score = X[idx] + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_i_idx = (*((short *) ( /* dim=0 */ (__pyx_v_X_iids.data + __pyx_t_9 * __pyx_v_X_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":565 + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] # <<<<<<<<<<<<<< + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_a_idx = (*((short *) ( /* dim=0 */ (__pyx_v_X_aids.data + __pyx_t_9 * __pyx_v_X_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":566 + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] + * score = X[idx] # <<<<<<<<<<<<<< + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_X.data + __pyx_t_9 * __pyx_v_X.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":567 + * a_idx = X_aids[idx] + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_a_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":568 + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":570 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * for i in range(n_user_factors): + * for j in range(n_item_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":571 + * + * del_sqerror = 2 * (pred - score) + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":572 + * del_sqerror = 2 * (pred - score) + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":573 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":574 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_9 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_i_idx; + __pyx_t_20 = __pyx_v_j; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_k; + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_18 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_20 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_21 * __pyx_v_A.strides[0]) ) + __pyx_t_22 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":575 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + */ + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_i_idx; + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_22 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":576 + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + * + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_k; + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_24 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_25 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_19 * __pyx_v_U.strides[0]) ) + __pyx_t_20 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_21 * __pyx_v_A.strides[0]) ) + __pyx_t_22 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":577 + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] # <<<<<<<<<<<<<< + * + * # get user aspect opinion element + */ + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_j; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_22 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_19 * __pyx_v_U.strides[0]) ) + __pyx_t_18 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))); + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":580 + * + * # get user aspect opinion element + * idx = rng_pos_uao.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_uao->__pyx_vtab)->generate(__pyx_v_rng_pos_uao, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":581 + * # get user aspect opinion element + * idx = rng_pos_uao.generate(thread_id) + * u_idx = YU_uids[idx] # <<<<<<<<<<<<<< + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_u_idx = (*((short *) ( /* dim=0 */ (__pyx_v_YU_uids.data + __pyx_t_25 * __pyx_v_YU_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":582 + * idx = rng_pos_uao.generate(thread_id) + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] # <<<<<<<<<<<<<< + * o_idx = YU_oids[idx] + * score = YU[idx] + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_a_idx = (*((short *) ( /* dim=0 */ (__pyx_v_YU_aids.data + __pyx_t_25 * __pyx_v_YU_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":583 + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] # <<<<<<<<<<<<<< + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_o_idx = (*((short *) ( /* dim=0 */ (__pyx_v_YU_oids.data + __pyx_t_25 * __pyx_v_YU_oids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":584 + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] + * score = YU[idx] # <<<<<<<<<<<<<< + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_YU.data + __pyx_t_25 * __pyx_v_YU.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":585 + * o_idx = YU_oids[idx] + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G2, __pyx_v_n_user_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_U, __pyx_v_A, __pyx_v_O, __pyx_v_u_idx, __pyx_v_a_idx, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":586 + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":588 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * + * for i in range(n_user_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":590 + * del_sqerror = 2 * (pred - score) + * + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":591 + * + * for i in range(n_user_factors): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_12 = __pyx_v_n_aspect_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":592 + * for i in range(n_user_factors): + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_15 = __pyx_v_n_opinion_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":593 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + */ + __pyx_t_25 = __pyx_v_u_idx; + __pyx_t_9 = __pyx_v_i; + __pyx_t_18 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_j; + __pyx_t_20 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_20 * __pyx_v_O.strides[0]) ) + __pyx_t_21 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":594 + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + */ + __pyx_t_21 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_18 = __pyx_v_a_idx; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_o_idx; + __pyx_t_24 = __pyx_v_k; + __pyx_t_23 = __pyx_v_u_idx; + __pyx_t_22 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_u.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_21 * __pyx_v_G2.strides[0]) ) + __pyx_t_20 * __pyx_v_G2.strides[1]) ) + __pyx_t_19 * __pyx_v_G2.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_9 * __pyx_v_A.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_25 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":595 + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_18 = __pyx_v_u_idx; + __pyx_t_19 = __pyx_v_i; + __pyx_t_20 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + __pyx_t_22 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_24 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_9 * __pyx_v_G2.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_19 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_20 * __pyx_v_O.strides[0]) ) + __pyx_t_21 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":596 + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] # <<<<<<<<<<<<<< + * + * # get item aspect opinion element + */ + __pyx_t_21 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_18 = __pyx_v_u_idx; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_a_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_o_idx; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_o.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_21 * __pyx_v_G2.strides[0]) ) + __pyx_t_20 * __pyx_v_G2.strides[1]) ) + __pyx_t_19 * __pyx_v_G2.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_24 * __pyx_v_A.strides[1]) )))); + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":599 + * + * # get item aspect opinion element + * idx = rng_pos_iao.generate(thread_id) # <<<<<<<<<<<<<< + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_iao->__pyx_vtab)->generate(__pyx_v_rng_pos_iao, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":600 + * # get item aspect opinion element + * idx = rng_pos_iao.generate(thread_id) + * i_idx = YI_iids[idx] # <<<<<<<<<<<<<< + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i_idx = (*((short *) ( /* dim=0 */ (__pyx_v_YI_iids.data + __pyx_t_24 * __pyx_v_YI_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":601 + * idx = rng_pos_iao.generate(thread_id) + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] # <<<<<<<<<<<<<< + * o_idx = YI_oids[idx] + * score = YI[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_a_idx = (*((short *) ( /* dim=0 */ (__pyx_v_YI_aids.data + __pyx_t_24 * __pyx_v_YI_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":602 + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] # <<<<<<<<<<<<<< + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_o_idx = (*((short *) ( /* dim=0 */ (__pyx_v_YI_oids.data + __pyx_t_24 * __pyx_v_YI_oids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":603 + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] + * score = YI[idx] # <<<<<<<<<<<<<< + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_YI.data + __pyx_t_24 * __pyx_v_YI.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":604 + * o_idx = YI_oids[idx] + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G3, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_I, __pyx_v_A, __pyx_v_O, __pyx_v_i_idx, __pyx_v_a_idx, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":605 + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":607 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":608 + * + * del_sqerror = 2 * (pred - score) + * for i in range(n_item_factors): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + */ + __pyx_t_3 = __pyx_v_n_item_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":609 + * del_sqerror = 2 * (pred - score) + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_12 = __pyx_v_n_aspect_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":610 + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_15 = __pyx_v_n_opinion_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":611 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + */ + __pyx_t_24 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_o_idx; + __pyx_t_20 = __pyx_v_k; + __pyx_t_21 = __pyx_v_i; + __pyx_t_22 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_24 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_20 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":612 + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_25 = __pyx_v_j; + __pyx_t_24 = __pyx_v_o_idx; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i_idx; + __pyx_t_21 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_19 * __pyx_v_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_G3.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_24 * __pyx_v_O.strides[0]) ) + __pyx_t_23 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":613 + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + * + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_o_idx; + __pyx_t_20 = __pyx_v_k; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_23 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_25 * __pyx_v_G3.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_20 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":614 + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] # <<<<<<<<<<<<<< + * + * for _ in prange(num_bpr_samples, schedule='guided'): + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_j; + __pyx_t_22 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_o.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_19 * __pyx_v_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_G3.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":616 + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + * + * for _ in prange(num_bpr_samples, schedule='guided'): # <<<<<<<<<<<<<< + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] + */ + __pyx_t_8 = __pyx_v_num_bpr_samples; + if ((1 == 0)) abort(); + { + __pyx_t_4 = (__pyx_t_8 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_4 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_del_bpr) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_i_ij) lastprivate(__pyx_v_i_score) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_j_idx) lastprivate(__pyx_v_j_score) lastprivate(__pyx_v_jdx) lastprivate(__pyx_v_k) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_s) lastprivate(__pyx_v_u_idx) lastprivate(__pyx_v_z) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_4; __pyx_t_7++){ + { + __pyx_v__ = (short)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_del_bpr = ((float)__PYX_NAN()); + __pyx_v_i = ((short)0xbad0bad0); + __pyx_v_i_idx = ((short)0xbad0bad0); + __pyx_v_i_ij = ((float)__PYX_NAN()); + __pyx_v_i_score = ((float)__PYX_NAN()); + __pyx_v_idx = ((short)0xbad0bad0); + __pyx_v_j = ((short)0xbad0bad0); + __pyx_v_j_idx = ((short)0xbad0bad0); + __pyx_v_j_score = ((float)__PYX_NAN()); + __pyx_v_jdx = ((short)0xbad0bad0); + __pyx_v_k = ((short)0xbad0bad0); + __pyx_v_pred = ((float)__PYX_NAN()); + __pyx_v_s = ((long)0xbad0bad0); + __pyx_v_u_idx = ((short)0xbad0bad0); + __pyx_v_z = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":617 + * + * for _ in prange(num_bpr_samples, schedule='guided'): + * idx = rng_pos.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos->__pyx_vtab)->generate(__pyx_v_rng_pos, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":618 + * for _ in prange(num_bpr_samples, schedule='guided'): + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] # <<<<<<<<<<<<<< + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_u_idx = (*((short *) ( /* dim=0 */ (__pyx_v_user_ids.data + __pyx_t_23 * __pyx_v_user_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":619 + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] # <<<<<<<<<<<<<< + * jdx = rng_neg.generate(thread_id) + * j_idx = neg_item_ids[jdx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_i_idx = (*((short *) ( /* dim=0 */ (__pyx_v_item_ids.data + __pyx_t_23 * __pyx_v_item_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":620 + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) # <<<<<<<<<<<<<< + * j_idx = neg_item_ids[jdx] + * + */ + __pyx_v_jdx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_neg->__pyx_vtab)->generate(__pyx_v_rng_neg, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":621 + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) + * j_idx = neg_item_ids[jdx] # <<<<<<<<<<<<<< + * + * s = 1 + */ + __pyx_t_23 = __pyx_v_jdx; + __pyx_v_j_idx = (*((short *) ( /* dim=0 */ (__pyx_v_neg_item_ids.data + __pyx_t_23 * __pyx_v_neg_item_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":623 + * j_idx = neg_item_ids[jdx] + * + * s = 1 # <<<<<<<<<<<<<< + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + */ + __pyx_v_s = 1; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":625 + * s = 1 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): # <<<<<<<<<<<<<< + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + */ + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_26 = (__pyx_fuse_0__pyx_f_6cornac_6models_3bpr_9recom_bpr_has_non_zero(__pyx_v_indptr, __pyx_v_item_ids, (*((short *) ( /* dim=0 */ (__pyx_v_user_ids.data + __pyx_t_23 * __pyx_v_user_ids.strides[0]) ))), __pyx_v_j_idx) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":626 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] # <<<<<<<<<<<<<< + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: + */ + __pyx_v_i_score = (__pyx_v_rating_dict->my_map[__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_v_u_idx, __pyx_v_i_idx)]); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":627 + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] # <<<<<<<<<<<<<< + * if i_score == j_score: + * skipped += 1 + */ + __pyx_v_j_score = (__pyx_v_rating_dict->my_map[__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_v_u_idx, __pyx_v_j_idx)]); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":628 + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: # <<<<<<<<<<<<<< + * skipped += 1 + * continue + */ + __pyx_t_26 = ((__pyx_v_i_score == __pyx_v_j_score) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":629 + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: + * skipped += 1 # <<<<<<<<<<<<<< + * continue + * elif i_score < j_score: + */ + __pyx_v_skipped = (__pyx_v_skipped + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":630 + * if i_score == j_score: + * skipped += 1 + * continue # <<<<<<<<<<<<<< + * elif i_score < j_score: + * s = -1 + */ + goto __pyx_L34_continue; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":628 + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: # <<<<<<<<<<<<<< + * skipped += 1 + * continue + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":631 + * skipped += 1 + * continue + * elif i_score < j_score: # <<<<<<<<<<<<<< + * s = -1 + * + */ + __pyx_t_26 = ((__pyx_v_i_score < __pyx_v_j_score) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":632 + * continue + * elif i_score < j_score: + * s = -1 # <<<<<<<<<<<<<< + * + * pred = ( + */ + __pyx_v_s = -1L; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":631 + * skipped += 1 + * continue + * elif i_score < j_score: # <<<<<<<<<<<<<< + * s = -1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":625 + * s = 1 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): # <<<<<<<<<<<<<< + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":637 + * get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, n_aspects) + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + * ) * s # <<<<<<<<<<<<<< + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + */ + __pyx_v_pred = ((__pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_n_aspects) - __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_j_idx, __pyx_v_n_aspects)) * __pyx_v_s); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":638 + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + * ) * s + * z = (1.0 / (1.0 + exp(pred))) # <<<<<<<<<<<<<< + * if z < .5: + * correct += 1 + */ + __pyx_v_z = (1.0 / (1.0 + exp(__pyx_v_pred))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":639 + * ) * s + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * del_bpr = ld_bpr * z * s + */ + __pyx_t_26 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":640 + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + * correct += 1 # <<<<<<<<<<<<<< + * del_bpr = ld_bpr * z * s + * + */ + __pyx_v_correct = (__pyx_v_correct + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":639 + * ) * s + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * del_bpr = ld_bpr * z * s + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":641 + * if z < .5: + * correct += 1 + * del_bpr = ld_bpr * z * s # <<<<<<<<<<<<<< + * + * bpr_loss += log(1 / (1 + exp(-pred))) + */ + __pyx_v_del_bpr = ((__pyx_v_ld_bpr * __pyx_v_z) * __pyx_v_s); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":643 + * del_bpr = ld_bpr * z * s + * + * bpr_loss += log(1 / (1 + exp(-pred))) # <<<<<<<<<<<<<< + * + * for i in range(n_user_factors): + */ + __pyx_v_bpr_loss = (__pyx_v_bpr_loss + log((1.0 / (1.0 + exp((-__pyx_v_pred)))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":645 + * bpr_loss += log(1 / (1 + exp(-pred))) + * + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":646 + * + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":647 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + */ + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_j_idx; + __pyx_t_9 = __pyx_v_j; + __pyx_v_i_ij = ((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_23 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) ))) - (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_25 * __pyx_v_I.strides[0]) ) + __pyx_t_9 * __pyx_v_I.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":648 + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":649 + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + */ + __pyx_t_9 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_n_aspects; + __pyx_t_23 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_20, __pyx_pybuffernd_del_g1.diminfo[2].strides) -= (((__pyx_v_del_bpr * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * __pyx_v_i_ij) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":650 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_9 = __pyx_v_n_aspects; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_u.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_23 * __pyx_v_G1.strides[0]) ) + __pyx_t_24 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * __pyx_v_i_ij) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_20 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":651 + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_18 = __pyx_v_n_aspects; + __pyx_t_19 = __pyx_v_k; + __pyx_t_21 = __pyx_v_i_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":652 + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_n_aspects; + __pyx_t_20 = __pyx_v_k; + __pyx_t_22 = __pyx_v_j_idx; + __pyx_t_21 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_19 * __pyx_v_G1.strides[0]) ) + __pyx_t_18 * __pyx_v_G1.strides[1]) ) + __pyx_t_23 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_20 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":653 + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij # <<<<<<<<<<<<<< + * + * for _ in prange(num_pair_samples, schedule='guided'): + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_18 = __pyx_v_n_aspects; + __pyx_t_19 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * __pyx_v_i_ij); + } + } + } + goto __pyx_L48; + __pyx_L34_continue:; + goto __pyx_L48; + __pyx_L48:; + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":655 + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + * + * for _ in prange(num_pair_samples, schedule='guided'): # <<<<<<<<<<<<<< + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] + */ + __pyx_t_4 = __pyx_v_num_pair_samples; + if ((1 == 0)) abort(); + { + __pyx_t_8 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_8 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_a_idx) lastprivate(__pyx_v_a_ji) lastprivate(__pyx_v_del_aspect_bpr) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_j_idx) lastprivate(__pyx_v_k) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_u_idx) lastprivate(__pyx_v_z) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_8; __pyx_t_7++){ + { + __pyx_v__ = (short)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_a_idx = ((short)0xbad0bad0); + __pyx_v_a_ji = ((float)__PYX_NAN()); + __pyx_v_del_aspect_bpr = ((float)__PYX_NAN()); + __pyx_v_i = ((short)0xbad0bad0); + __pyx_v_i_idx = ((short)0xbad0bad0); + __pyx_v_idx = ((short)0xbad0bad0); + __pyx_v_j = ((short)0xbad0bad0); + __pyx_v_j_idx = ((short)0xbad0bad0); + __pyx_v_k = ((short)0xbad0bad0); + __pyx_v_pred = ((float)__PYX_NAN()); + __pyx_v_u_idx = ((short)0xbad0bad0); + __pyx_v_z = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":656 + * + * for _ in prange(num_pair_samples, schedule='guided'): + * idx = rng_pos_pair.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_pair->__pyx_vtab)->generate(__pyx_v_rng_pos_pair, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":657 + * for _ in prange(num_pair_samples, schedule='guided'): + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] # <<<<<<<<<<<<<< + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_u_idx = (*((short *) ( /* dim=0 */ (__pyx_v_p_user_indices.data + __pyx_t_23 * __pyx_v_p_user_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":658 + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] # <<<<<<<<<<<<<< + * j_idx = later_indices[idx] + * a_idx = aspect_indices[idx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_i_idx = (*((short *) ( /* dim=0 */ (__pyx_v_earlier_indices.data + __pyx_t_23 * __pyx_v_earlier_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":659 + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] # <<<<<<<<<<<<<< + * a_idx = aspect_indices[idx] + * + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_j_idx = (*((short *) ( /* dim=0 */ (__pyx_v_later_indices.data + __pyx_t_23 * __pyx_v_later_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":660 + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] + * a_idx = aspect_indices[idx] # <<<<<<<<<<<<<< + * + * pred = ( + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_a_idx = (*((short *) ( /* dim=0 */ (__pyx_v_aspect_indices.data + __pyx_t_23 * __pyx_v_aspect_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":664 + * pred = ( + * get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, a_idx) + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) # <<<<<<<<<<<<<< + * ) + * + */ + __pyx_v_pred = (__pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_j_idx, __pyx_v_a_idx) - __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_a_idx)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":667 + * ) + * + * z = (1.0 / (1.0 + exp(pred))) # <<<<<<<<<<<<<< + * if z < .5: + * aspect_correct += 1 + */ + __pyx_v_z = (1.0 / (1.0 + exp(__pyx_v_pred))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":668 + * + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * aspect_correct += 1 + * + */ + __pyx_t_26 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":669 + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + * aspect_correct += 1 # <<<<<<<<<<<<<< + * + * del_aspect_bpr = lambda_d * z + */ + __pyx_v_aspect_correct = (__pyx_v_aspect_correct + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":668 + * + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * aspect_correct += 1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":671 + * aspect_correct += 1 + * + * del_aspect_bpr = lambda_d * z # <<<<<<<<<<<<<< + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): + */ + __pyx_v_del_aspect_bpr = (__pyx_v_lambda_d * __pyx_v_z); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":672 + * + * del_aspect_bpr = lambda_d * z + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) # <<<<<<<<<<<<<< + * for i in range(n_user_factors): + * for j in range(n_item_factors): + */ + __pyx_v_aspect_bpr_loss = (__pyx_v_aspect_bpr_loss + log((1.0 / (1.0 + exp((-__pyx_v_pred)))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":673 + * del_aspect_bpr = lambda_d * z + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":674 + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":675 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + */ + __pyx_t_23 = __pyx_v_j_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i_idx; + __pyx_t_9 = __pyx_v_j; + __pyx_v_a_ji = ((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_23 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) ))) - (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_25 * __pyx_v_I.strides[0]) ) + __pyx_t_9 * __pyx_v_I.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":676 + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":677 + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_9 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g1.diminfo[2].strides) -= (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * __pyx_v_a_ji) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":678 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_20 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_20, __pyx_pybuffernd_del_u.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_23 * __pyx_v_G1.strides[0]) ) + __pyx_t_24 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * __pyx_v_a_ji) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":679 + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_20 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_k; + __pyx_t_21 = __pyx_v_j_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_20 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":680 + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i_idx; + __pyx_t_21 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_19 * __pyx_v_G1.strides[0]) ) + __pyx_t_20 * __pyx_v_G1.strides[1]) ) + __pyx_t_23 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":681 + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji # <<<<<<<<<<<<<< + * + * # update params with AdaGrad + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_20 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * __pyx_v_a_ji); + } + } + } + } + } + } + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":558 + * del_a_reg.fill(0) + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L5; + } + __pyx_L5:; + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":684 + * + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_27, __pyx_t_3, __pyx_t_9) num_threads(__pyx_v_n_threads) + #endif /* _OPENMP */ + { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":685 + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): + * for i in prange(n_user_factors, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_users): + * if del_u[j, i] != 0: + */ + __pyx_t_3 = __pyx_v_n_user_factors; + if ((1 == 0)) abort(); + { + __pyx_t_12 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_12 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_12; __pyx_t_10++){ + { + __pyx_v_i = (short)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((short)0xbad0bad0); + __pyx_v_k = ((short)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":686 + * with nogil, parallel(num_threads=n_threads): + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): # <<<<<<<<<<<<<< + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + */ + __pyx_t_13 = __pyx_v_n_users; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":687 + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + * if del_u[j, i] != 0: # <<<<<<<<<<<<<< + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + */ + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":688 + * for j in range(n_users): + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] # <<<<<<<<<<<<<< + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + */ + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_u_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":687 + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + * if del_u[j, i] != 0: # <<<<<<<<<<<<<< + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":689 + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] # <<<<<<<<<<<<<< + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: + */ + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_U.data + __pyx_t_19 * __pyx_v_sgrad_U.strides[0]) ) + __pyx_t_18 * __pyx_v_sgrad_U.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_u_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_u_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":690 + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] # <<<<<<<<<<<<<< + * if U[j, i] < 0: + * U[j, i] = 0 + */ + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_19 * __pyx_v_U.strides[1]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_U.data + __pyx_t_24 * __pyx_v_sgrad_U.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_U.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_u_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":691 + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: # <<<<<<<<<<<<<< + * U[j, i] = 0 + * + */ + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_26 = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":692 + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: + * U[j, i] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_item_factors): + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":691 + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: # <<<<<<<<<<<<<< + * U[j, i] = 0 + * + */ + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":694 + * U[j, i] = 0 + * + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: + */ + __pyx_t_13 = __pyx_v_n_item_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":695 + * + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + */ + __pyx_t_16 = __pyx_v_n_aspect_factors; + __pyx_t_27 = __pyx_t_16; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_27; __pyx_t_14+=1) { + __pyx_v_k = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":696 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + */ + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":697 + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_22, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_9, __pyx_pybuffernd_del_g1.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_24 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":696 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":698 + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] # <<<<<<<<<<<<<< + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G1.data + __pyx_t_22 * __pyx_v_sgrad_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_sgrad_G1.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":699 + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] # <<<<<<<<<<<<<< + * if G1[i, j, k] < 0: + * G1[i, j, k] = 0 + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_22 * __pyx_v_G1.strides[2]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G1.data + __pyx_t_23 * __pyx_v_sgrad_G1.strides[0]) ) + __pyx_t_25 * __pyx_v_sgrad_G1.strides[1]) ) + __pyx_t_9 * __pyx_v_sgrad_G1.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":700 + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: # <<<<<<<<<<<<<< + * G1[i, j, k] = 0 + * + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = (((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_24 * __pyx_v_G1.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":701 + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: + * G1[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_aspect_factors): + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_24 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":700 + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: # <<<<<<<<<<<<<< + * G1[i, j, k] = 0 + * + */ + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":703 + * G1[i, j, k] = 0 + * + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":704 + * + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + */ + __pyx_t_16 = __pyx_v_n_opinion_factors; + __pyx_t_27 = __pyx_t_16; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_27; __pyx_t_14+=1) { + __pyx_v_k = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":705 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":706 + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_20, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g2.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_9 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_23 * __pyx_v_G2.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":705 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":707 + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] # <<<<<<<<<<<<<< + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G2.data + __pyx_t_20 * __pyx_v_sgrad_G2.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G2.strides[1]) ) + __pyx_t_22 * __pyx_v_sgrad_G2.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_9, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":708 + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] # <<<<<<<<<<<<<< + * if G2[i, j, k] < 0: + * G2[i, j, k] = 0 + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_22 * __pyx_v_G2.strides[0]) ) + __pyx_t_21 * __pyx_v_G2.strides[1]) ) + __pyx_t_20 * __pyx_v_G2.strides[2]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G2.data + __pyx_t_24 * __pyx_v_sgrad_G2.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_G2.strides[1]) ) + __pyx_t_18 * __pyx_v_sgrad_G2.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":709 + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: # <<<<<<<<<<<<<< + * G2[i, j, k] = 0 + * + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_26 = (((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_23 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_9 * __pyx_v_G2.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":710 + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: + * G2[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_item_factors, schedule='guided'): + */ + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_9 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_23 * __pyx_v_G2.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":709 + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: # <<<<<<<<<<<<<< + * G2[i, j, k] = 0 + * + */ + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":712 + * G2[i, j, k] = 0 + * + * for i in prange(n_item_factors, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_items): + * if del_i[j, i] != 0: + */ + __pyx_t_12 = __pyx_v_n_item_factors; + if ((1 == 0)) abort(); + { + __pyx_t_3 = (__pyx_t_12 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_3 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_3; __pyx_t_10++){ + { + __pyx_v_i = (short)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((short)0xbad0bad0); + __pyx_v_k = ((short)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":713 + * + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): # <<<<<<<<<<<<<< + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + */ + __pyx_t_13 = __pyx_v_n_items; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":714 + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): + * if del_i[j, i] != 0: # <<<<<<<<<<<<<< + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + */ + __pyx_t_23 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_i.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":715 + * for j in range(n_items): + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] # <<<<<<<<<<<<<< + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_i_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":714 + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): + * if del_i[j, i] != 0: # <<<<<<<<<<<<<< + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":716 + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] # <<<<<<<<<<<<<< + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: + */ + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_I.data + __pyx_t_24 * __pyx_v_sgrad_I.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_I.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_i_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_i_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":717 + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] # <<<<<<<<<<<<<< + * if I[j, i] < 0: + * I[j, i] = 0 + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_I.data + __pyx_t_25 * __pyx_v_sgrad_I.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_I.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_i_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":718 + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: # <<<<<<<<<<<<<< + * I[j, i] = 0 + * + */ + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_26 = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_18 * __pyx_v_I.strides[0]) ) + __pyx_t_9 * __pyx_v_I.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":719 + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: + * I[j, i] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_aspect_factors): + */ + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":718 + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: # <<<<<<<<<<<<<< + * I[j, i] = 0 + * + */ + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":721 + * I[j, i] = 0 + * + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":722 + * + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + */ + __pyx_t_16 = __pyx_v_n_opinion_factors; + __pyx_t_27 = __pyx_t_16; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_27; __pyx_t_14+=1) { + __pyx_v_k = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":723 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":724 + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_22, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g3.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_25 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_19 * __pyx_v_G3.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":723 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":725 + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] # <<<<<<<<<<<<<< + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G3.data + __pyx_t_22 * __pyx_v_sgrad_G3.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G3.strides[1]) ) + __pyx_t_20 * __pyx_v_sgrad_G3.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_25, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":726 + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] # <<<<<<<<<<<<<< + * if G3[i, j, k] < 0: + * G3[i, j, k] = 0 + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_21 * __pyx_v_G3.strides[1]) ) + __pyx_t_22 * __pyx_v_G3.strides[2]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G3.data + __pyx_t_23 * __pyx_v_sgrad_G3.strides[0]) ) + __pyx_t_9 * __pyx_v_sgrad_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_sgrad_G3.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_19, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":727 + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: # <<<<<<<<<<<<<< + * G3[i, j, k] = 0 + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_26 = (((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_19 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_25 * __pyx_v_G3.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":728 + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: + * G3[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_aspects + 1, schedule='guided'): + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_25 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_19 * __pyx_v_G3.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":727 + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: # <<<<<<<<<<<<<< + * G3[i, j, k] = 0 + * + */ + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":730 + * G3[i, j, k] = 0 + * + * for i in prange(n_aspects + 1, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: + */ + __pyx_t_3 = (__pyx_v_n_aspects + 1); + if ((1 == 0)) abort(); + { + __pyx_t_12 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_12 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_12; __pyx_t_10++){ + { + __pyx_v_i = (short)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((short)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":731 + * + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":732 + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: # <<<<<<<<<<<<<< + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":733 + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] # <<<<<<<<<<<<<< + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":732 + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: # <<<<<<<<<<<<<< + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":734 + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] # <<<<<<<<<<<<<< + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_A.data + __pyx_t_23 * __pyx_v_sgrad_A.strides[0]) ) + __pyx_t_9 * __pyx_v_sgrad_A.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_a_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_a_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":735 + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] # <<<<<<<<<<<<<< + * if A[i, j] < 0: + * A[i, j] = 0 + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_A.data + __pyx_t_24 * __pyx_v_sgrad_A.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_A.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_a_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":736 + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: # <<<<<<<<<<<<<< + * A[i, j] = 0 + * + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_26 = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":737 + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: + * A[i, j] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_opinions, schedule='guided'): + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":736 + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: # <<<<<<<<<<<<<< + * A[i, j] = 0 + * + */ + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":739 + * A[i, j] = 0 + * + * for i in prange(n_opinions, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: + */ + __pyx_t_12 = __pyx_v_n_opinions; + if ((1 == 0)) abort(); + { + __pyx_t_3 = (__pyx_t_12 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_3 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_3; __pyx_t_10++){ + { + __pyx_v_i = (short)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((short)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":740 + * + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + */ + __pyx_t_13 = __pyx_v_n_opinion_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":741 + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: # <<<<<<<<<<<<<< + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_o.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":742 + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] # <<<<<<<<<<<<<< + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_o_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_o.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":741 + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: # <<<<<<<<<<<<<< + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":743 + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] # <<<<<<<<<<<<<< + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_O.data + __pyx_t_9 * __pyx_v_sgrad_O.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_O.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_o_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_o_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":744 + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] # <<<<<<<<<<<<<< + * if O[i, j] < 0: + * O[i, j] = 0 + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_23 * __pyx_v_O.strides[0]) ) + __pyx_t_9 * __pyx_v_O.strides[1]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_O.data + __pyx_t_25 * __pyx_v_sgrad_O.strides[0]) ) + __pyx_t_18 * __pyx_v_sgrad_O.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_o_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":745 + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: # <<<<<<<<<<<<<< + * O[i, j] = 0 + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_26 = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_24 * __pyx_v_O.strides[0]) ) + __pyx_t_19 * __pyx_v_O.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":746 + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: + * O[i, j] = 0 # <<<<<<<<<<<<<< + * + * return correct, skipped, loss, bpr_loss + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":745 + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: # <<<<<<<<<<<<<< + * O[i, j] = 0 + * + */ + } + } + } + } + } + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":684 + * + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L66; + } + __pyx_L66:; + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":748 + * O[i, j] = 0 + * + * return correct, skipped, loss, bpr_loss # <<<<<<<<<<<<<< + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyInt_From_long(__pyx_v_correct); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_From_long(__pyx_v_skipped); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_28 = PyFloat_FromDouble(__pyx_v_bpr_loss); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_28); + __pyx_t_29 = PyTuple_New(4); if (unlikely(!__pyx_t_29)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_29); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_29, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_29, 1, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_29, 2, __pyx_t_6); + __Pyx_GIVEREF(__pyx_t_28); + PyTuple_SET_ITEM(__pyx_t_29, 3, __pyx_t_28); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_6 = 0; + __pyx_t_28 = 0; + __pyx_r = __pyx_t_29; + __pyx_t_29 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":475 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_mter( # <<<<<<<<<<<<<< + * self, + * RNGVector rng_pos_uia, + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_28); + __Pyx_XDECREF(__pyx_t_29); + { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer); + __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._fit_mter", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + goto __pyx_L2; + __pyx_L0:; + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer); + __pyx_L2:; + __PYX_XDEC_MEMVIEW(&__pyx_v_X, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_oids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_oids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_user_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_item_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_neg_item_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_indptr, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_p_user_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_earlier_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_later_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_aspect_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_pair_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G3, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_I, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_O, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G3, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_U, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_I, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_O, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_0_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_15_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_0_1__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_15_fit_mter = {"__pyx_fuse_0_1_fit_mter", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_0_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_15_fit_mter, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_10_fit_mter}; +static PyObject *__pyx_fuse_0_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_15_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg = 0; + int __pyx_v_n_threads; + __Pyx_memviewslice __pyx_v_X = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_oids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_oids = { 0, 0, { 0 }, { 0 }, { 0 } }; + struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict = 0; + __Pyx_memviewslice __pyx_v_user_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_item_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_neg_item_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_indptr = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_p_user_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_earlier_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_later_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_aspect_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G3 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_I = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_O = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G3 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_U = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_I = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_O = { 0, 0, { 0 }, { 0 }, { 0 } }; + PyArrayObject *__pyx_v_del_g1 = 0; + PyArrayObject *__pyx_v_del_g2 = 0; + PyArrayObject *__pyx_v_del_g3 = 0; + PyArrayObject *__pyx_v_del_u = 0; + PyArrayObject *__pyx_v_del_i = 0; + PyArrayObject *__pyx_v_del_a = 0; + PyArrayObject *__pyx_v_del_o = 0; + PyArrayObject *__pyx_v_del_g1_reg = 0; + PyArrayObject *__pyx_v_del_g2_reg = 0; + PyArrayObject *__pyx_v_del_g3_reg = 0; + PyArrayObject *__pyx_v_del_u_reg = 0; + PyArrayObject *__pyx_v_del_i_reg = 0; + PyArrayObject *__pyx_v_del_a_reg = 0; + PyArrayObject *__pyx_v_del_o_reg = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_fit_mter (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_rng_pos_uia,&__pyx_n_s_rng_pos_uao,&__pyx_n_s_rng_pos_iao,&__pyx_n_s_rng_pos_pair,&__pyx_n_s_rng_pos,&__pyx_n_s_rng_neg,&__pyx_n_s_n_threads,&__pyx_n_s_X,&__pyx_n_s_X_uids,&__pyx_n_s_X_iids,&__pyx_n_s_X_aids,&__pyx_n_s_YU,&__pyx_n_s_YU_uids,&__pyx_n_s_YU_aids,&__pyx_n_s_YU_oids,&__pyx_n_s_YI,&__pyx_n_s_YI_iids,&__pyx_n_s_YI_aids,&__pyx_n_s_YI_oids,&__pyx_n_s_rating_dict,&__pyx_n_s_user_ids,&__pyx_n_s_item_ids,&__pyx_n_s_neg_item_ids,&__pyx_n_s_indptr,&__pyx_n_s_p_user_indices,&__pyx_n_s_earlier_indices,&__pyx_n_s_later_indices,&__pyx_n_s_aspect_indices,&__pyx_n_s_pair_counts,&__pyx_n_s_G1,&__pyx_n_s_G2,&__pyx_n_s_G3,&__pyx_n_s_U,&__pyx_n_s_I,&__pyx_n_s_A,&__pyx_n_s_O,&__pyx_n_s_sgrad_G1,&__pyx_n_s_sgrad_G2,&__pyx_n_s_sgrad_G3,&__pyx_n_s_sgrad_U,&__pyx_n_s_sgrad_I,&__pyx_n_s_sgrad_A,&__pyx_n_s_sgrad_O,&__pyx_n_s_del_g1,&__pyx_n_s_del_g2,&__pyx_n_s_del_g3,&__pyx_n_s_del_u,&__pyx_n_s_del_i,&__pyx_n_s_del_a,&__pyx_n_s_del_o,&__pyx_n_s_del_g1_reg,&__pyx_n_s_del_g2_reg,&__pyx_n_s_del_g3_reg,&__pyx_n_s_del_u_reg,&__pyx_n_s_del_i_reg,&__pyx_n_s_del_a_reg,&__pyx_n_s_del_o_reg,0}; + PyObject* values[58] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 58: values[57] = PyTuple_GET_ITEM(__pyx_args, 57); + CYTHON_FALLTHROUGH; + case 57: values[56] = PyTuple_GET_ITEM(__pyx_args, 56); + CYTHON_FALLTHROUGH; + case 56: values[55] = PyTuple_GET_ITEM(__pyx_args, 55); + CYTHON_FALLTHROUGH; + case 55: values[54] = PyTuple_GET_ITEM(__pyx_args, 54); + CYTHON_FALLTHROUGH; + case 54: values[53] = PyTuple_GET_ITEM(__pyx_args, 53); + CYTHON_FALLTHROUGH; + case 53: values[52] = PyTuple_GET_ITEM(__pyx_args, 52); + CYTHON_FALLTHROUGH; + case 52: values[51] = PyTuple_GET_ITEM(__pyx_args, 51); + CYTHON_FALLTHROUGH; + case 51: values[50] = PyTuple_GET_ITEM(__pyx_args, 50); + CYTHON_FALLTHROUGH; + case 50: values[49] = PyTuple_GET_ITEM(__pyx_args, 49); + CYTHON_FALLTHROUGH; + case 49: values[48] = PyTuple_GET_ITEM(__pyx_args, 48); + CYTHON_FALLTHROUGH; + case 48: values[47] = PyTuple_GET_ITEM(__pyx_args, 47); + CYTHON_FALLTHROUGH; + case 47: values[46] = PyTuple_GET_ITEM(__pyx_args, 46); + CYTHON_FALLTHROUGH; + case 46: values[45] = PyTuple_GET_ITEM(__pyx_args, 45); + CYTHON_FALLTHROUGH; + case 45: values[44] = PyTuple_GET_ITEM(__pyx_args, 44); + CYTHON_FALLTHROUGH; + case 44: values[43] = PyTuple_GET_ITEM(__pyx_args, 43); + CYTHON_FALLTHROUGH; + case 43: values[42] = PyTuple_GET_ITEM(__pyx_args, 42); + CYTHON_FALLTHROUGH; + case 42: values[41] = PyTuple_GET_ITEM(__pyx_args, 41); + CYTHON_FALLTHROUGH; + case 41: values[40] = PyTuple_GET_ITEM(__pyx_args, 40); + CYTHON_FALLTHROUGH; + case 40: values[39] = PyTuple_GET_ITEM(__pyx_args, 39); + CYTHON_FALLTHROUGH; + case 39: values[38] = PyTuple_GET_ITEM(__pyx_args, 38); + CYTHON_FALLTHROUGH; + case 38: values[37] = PyTuple_GET_ITEM(__pyx_args, 37); + CYTHON_FALLTHROUGH; + case 37: values[36] = PyTuple_GET_ITEM(__pyx_args, 36); + CYTHON_FALLTHROUGH; + case 36: values[35] = PyTuple_GET_ITEM(__pyx_args, 35); + CYTHON_FALLTHROUGH; + case 35: values[34] = PyTuple_GET_ITEM(__pyx_args, 34); + CYTHON_FALLTHROUGH; + case 34: values[33] = PyTuple_GET_ITEM(__pyx_args, 33); + CYTHON_FALLTHROUGH; + case 33: values[32] = PyTuple_GET_ITEM(__pyx_args, 32); + CYTHON_FALLTHROUGH; + case 32: values[31] = PyTuple_GET_ITEM(__pyx_args, 31); + CYTHON_FALLTHROUGH; + case 31: values[30] = PyTuple_GET_ITEM(__pyx_args, 30); + CYTHON_FALLTHROUGH; + case 30: values[29] = PyTuple_GET_ITEM(__pyx_args, 29); + CYTHON_FALLTHROUGH; + case 29: values[28] = PyTuple_GET_ITEM(__pyx_args, 28); + CYTHON_FALLTHROUGH; + case 28: values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + CYTHON_FALLTHROUGH; + case 27: values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + CYTHON_FALLTHROUGH; + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_uia)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 1); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_uao)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 2); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_iao)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 3); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_pair)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 4); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 5); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_neg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 6); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 7); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 8); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 9); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 10: + if (likely((values[10] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 10); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 11: + if (likely((values[11] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 11); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 12: + if (likely((values[12] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 12); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 13: + if (likely((values[13] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 13); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 14: + if (likely((values[14] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 14); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 15: + if (likely((values[15] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_oids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 15); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 16: + if (likely((values[16] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 16); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 17: + if (likely((values[17] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 17); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 18: + if (likely((values[18] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 18); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 19: + if (likely((values[19] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_oids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 19); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 20: + if (likely((values[20] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rating_dict)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 20); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 21: + if (likely((values[21] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_user_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 21); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 22: + if (likely((values[22] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_item_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 22); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 23: + if (likely((values[23] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neg_item_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 23); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 24: + if (likely((values[24] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_indptr)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 24); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 25: + if (likely((values[25] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_p_user_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 25); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 26: + if (likely((values[26] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_earlier_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 26); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 27: + if (likely((values[27] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_later_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 27); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 28: + if (likely((values[28] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_aspect_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 28); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 29: + if (likely((values[29] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pair_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 29); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 30: + if (likely((values[30] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 30); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 31: + if (likely((values[31] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 31); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 32: + if (likely((values[32] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 32); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 33: + if (likely((values[33] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 33); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 34: + if (likely((values[34] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_I)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 34); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 35: + if (likely((values[35] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 35); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 36: + if (likely((values[36] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_O)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 36); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 37: + if (likely((values[37] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 37); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 38: + if (likely((values[38] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 38); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 39: + if (likely((values[39] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 39); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 40: + if (likely((values[40] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_U)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 40); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 41: + if (likely((values[41] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_I)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 41); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 42: + if (likely((values[42] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 42); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 43: + if (likely((values[43] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_O)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 43); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 44: + if (likely((values[44] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 44); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 45: + if (likely((values[45] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 45); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 46: + if (likely((values[46] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 46); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 47: + if (likely((values[47] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_u)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 47); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 48: + if (likely((values[48] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_i)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 48); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 49: + if (likely((values[49] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_a)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 49); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 50: + if (likely((values[50] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_o)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 50); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 51: + if (likely((values[51] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g1_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 51); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 52: + if (likely((values[52] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g2_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 52); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 53: + if (likely((values[53] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g3_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 53); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 54: + if (likely((values[54] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_u_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 54); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 55: + if (likely((values[55] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_i_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 55); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 56: + if (likely((values[56] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_a_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 56); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 57: + if (likely((values[57] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_o_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 57); __PYX_ERR(0, 475, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_fit_mter") < 0)) __PYX_ERR(0, 475, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 58) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + values[28] = PyTuple_GET_ITEM(__pyx_args, 28); + values[29] = PyTuple_GET_ITEM(__pyx_args, 29); + values[30] = PyTuple_GET_ITEM(__pyx_args, 30); + values[31] = PyTuple_GET_ITEM(__pyx_args, 31); + values[32] = PyTuple_GET_ITEM(__pyx_args, 32); + values[33] = PyTuple_GET_ITEM(__pyx_args, 33); + values[34] = PyTuple_GET_ITEM(__pyx_args, 34); + values[35] = PyTuple_GET_ITEM(__pyx_args, 35); + values[36] = PyTuple_GET_ITEM(__pyx_args, 36); + values[37] = PyTuple_GET_ITEM(__pyx_args, 37); + values[38] = PyTuple_GET_ITEM(__pyx_args, 38); + values[39] = PyTuple_GET_ITEM(__pyx_args, 39); + values[40] = PyTuple_GET_ITEM(__pyx_args, 40); + values[41] = PyTuple_GET_ITEM(__pyx_args, 41); + values[42] = PyTuple_GET_ITEM(__pyx_args, 42); + values[43] = PyTuple_GET_ITEM(__pyx_args, 43); + values[44] = PyTuple_GET_ITEM(__pyx_args, 44); + values[45] = PyTuple_GET_ITEM(__pyx_args, 45); + values[46] = PyTuple_GET_ITEM(__pyx_args, 46); + values[47] = PyTuple_GET_ITEM(__pyx_args, 47); + values[48] = PyTuple_GET_ITEM(__pyx_args, 48); + values[49] = PyTuple_GET_ITEM(__pyx_args, 49); + values[50] = PyTuple_GET_ITEM(__pyx_args, 50); + values[51] = PyTuple_GET_ITEM(__pyx_args, 51); + values[52] = PyTuple_GET_ITEM(__pyx_args, 52); + values[53] = PyTuple_GET_ITEM(__pyx_args, 53); + values[54] = PyTuple_GET_ITEM(__pyx_args, 54); + values[55] = PyTuple_GET_ITEM(__pyx_args, 55); + values[56] = PyTuple_GET_ITEM(__pyx_args, 56); + values[57] = PyTuple_GET_ITEM(__pyx_args, 57); + } + __pyx_v_self = values[0]; + __pyx_v_rng_pos_uia = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[1]); + __pyx_v_rng_pos_uao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[2]); + __pyx_v_rng_pos_iao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[3]); + __pyx_v_rng_pos_pair = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[4]); + __pyx_v_rng_pos = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[5]); + __pyx_v_rng_neg = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[6]); + __pyx_v_n_threads = __Pyx_PyInt_As_int(values[7]); if (unlikely((__pyx_v_n_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 483, __pyx_L3_error) + __pyx_v_X = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_uids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[10], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_iids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[11], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_YU = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[12], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[13], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_uids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[14], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_aids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_oids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[15], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_oids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YI = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[16], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[17], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_iids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[18], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_aids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_oids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[19], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_oids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_rating_dict = ((struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *)values[20]); + __pyx_v_user_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[21], PyBUF_WRITABLE); if (unlikely(!__pyx_v_user_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_item_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[22], PyBUF_WRITABLE); if (unlikely(!__pyx_v_item_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_neg_item_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[23], PyBUF_WRITABLE); if (unlikely(!__pyx_v_neg_item_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_indptr = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[24], PyBUF_WRITABLE); if (unlikely(!__pyx_v_indptr.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_p_user_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[25], PyBUF_WRITABLE); if (unlikely(!__pyx_v_p_user_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_earlier_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[26], PyBUF_WRITABLE); if (unlikely(!__pyx_v_earlier_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_later_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[27], PyBUF_WRITABLE); if (unlikely(!__pyx_v_later_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_aspect_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[28], PyBUF_WRITABLE); if (unlikely(!__pyx_v_aspect_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_pair_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[29], PyBUF_WRITABLE); if (unlikely(!__pyx_v_pair_counts.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_G1 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[30], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G1.memview)) __PYX_ERR(0, 490, __pyx_L3_error) + __pyx_v_G2 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[31], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G2.memview)) __PYX_ERR(0, 491, __pyx_L3_error) + __pyx_v_G3 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[32], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G3.memview)) __PYX_ERR(0, 492, __pyx_L3_error) + __pyx_v_U = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[33], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U.memview)) __PYX_ERR(0, 493, __pyx_L3_error) + __pyx_v_I = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[34], PyBUF_WRITABLE); if (unlikely(!__pyx_v_I.memview)) __PYX_ERR(0, 494, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[35], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 495, __pyx_L3_error) + __pyx_v_O = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[36], PyBUF_WRITABLE); if (unlikely(!__pyx_v_O.memview)) __PYX_ERR(0, 496, __pyx_L3_error) + __pyx_v_sgrad_G1 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[37], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G1.memview)) __PYX_ERR(0, 497, __pyx_L3_error) + __pyx_v_sgrad_G2 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[38], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G2.memview)) __PYX_ERR(0, 498, __pyx_L3_error) + __pyx_v_sgrad_G3 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[39], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G3.memview)) __PYX_ERR(0, 499, __pyx_L3_error) + __pyx_v_sgrad_U = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[40], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_U.memview)) __PYX_ERR(0, 500, __pyx_L3_error) + __pyx_v_sgrad_I = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[41], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_I.memview)) __PYX_ERR(0, 501, __pyx_L3_error) + __pyx_v_sgrad_A = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[42], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_A.memview)) __PYX_ERR(0, 502, __pyx_L3_error) + __pyx_v_sgrad_O = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[43], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_O.memview)) __PYX_ERR(0, 503, __pyx_L3_error) + __pyx_v_del_g1 = ((PyArrayObject *)values[44]); + __pyx_v_del_g2 = ((PyArrayObject *)values[45]); + __pyx_v_del_g3 = ((PyArrayObject *)values[46]); + __pyx_v_del_u = ((PyArrayObject *)values[47]); + __pyx_v_del_i = ((PyArrayObject *)values[48]); + __pyx_v_del_a = ((PyArrayObject *)values[49]); + __pyx_v_del_o = ((PyArrayObject *)values[50]); + __pyx_v_del_g1_reg = ((PyArrayObject *)values[51]); + __pyx_v_del_g2_reg = ((PyArrayObject *)values[52]); + __pyx_v_del_g3_reg = ((PyArrayObject *)values[53]); + __pyx_v_del_u_reg = ((PyArrayObject *)values[54]); + __pyx_v_del_i_reg = ((PyArrayObject *)values[55]); + __pyx_v_del_a_reg = ((PyArrayObject *)values[56]); + __pyx_v_del_o_reg = ((PyArrayObject *)values[57]); + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 475, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._fit_mter", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_uia), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_uia", 0))) __PYX_ERR(0, 477, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_uao), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_uao", 0))) __PYX_ERR(0, 478, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_iao), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_iao", 0))) __PYX_ERR(0, 479, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_pair), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_pair", 0))) __PYX_ERR(0, 480, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos", 0))) __PYX_ERR(0, 481, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_neg), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_neg", 0))) __PYX_ERR(0, 482, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rating_dict), __pyx_ptype_6cornac_5utils_9fast_dict_IntFloatDict, 1, "rating_dict", 0))) __PYX_ERR(0, 487, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g1), __pyx_ptype_5numpy_ndarray, 1, "del_g1", 0))) __PYX_ERR(0, 504, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g2), __pyx_ptype_5numpy_ndarray, 1, "del_g2", 0))) __PYX_ERR(0, 505, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g3), __pyx_ptype_5numpy_ndarray, 1, "del_g3", 0))) __PYX_ERR(0, 506, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_u), __pyx_ptype_5numpy_ndarray, 1, "del_u", 0))) __PYX_ERR(0, 507, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_i), __pyx_ptype_5numpy_ndarray, 1, "del_i", 0))) __PYX_ERR(0, 508, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_a), __pyx_ptype_5numpy_ndarray, 1, "del_a", 0))) __PYX_ERR(0, 509, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_o), __pyx_ptype_5numpy_ndarray, 1, "del_o", 0))) __PYX_ERR(0, 510, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g1_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g1_reg", 0))) __PYX_ERR(0, 511, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g2_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g2_reg", 0))) __PYX_ERR(0, 512, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g3_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g3_reg", 0))) __PYX_ERR(0, 513, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_u_reg), __pyx_ptype_5numpy_ndarray, 1, "del_u_reg", 0))) __PYX_ERR(0, 514, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_i_reg), __pyx_ptype_5numpy_ndarray, 1, "del_i_reg", 0))) __PYX_ERR(0, 515, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_a_reg), __pyx_ptype_5numpy_ndarray, 1, "del_a_reg", 0))) __PYX_ERR(0, 516, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_o_reg), __pyx_ptype_5numpy_ndarray, 1, "del_o_reg", 0))) __PYX_ERR(0, 517, __pyx_L1_error) + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_14_fit_mter(__pyx_self, __pyx_v_self, __pyx_v_rng_pos_uia, __pyx_v_rng_pos_uao, __pyx_v_rng_pos_iao, __pyx_v_rng_pos_pair, __pyx_v_rng_pos, __pyx_v_rng_neg, __pyx_v_n_threads, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_iids, __pyx_v_X_aids, __pyx_v_YU, __pyx_v_YU_uids, __pyx_v_YU_aids, __pyx_v_YU_oids, __pyx_v_YI, __pyx_v_YI_iids, __pyx_v_YI_aids, __pyx_v_YI_oids, __pyx_v_rating_dict, __pyx_v_user_ids, __pyx_v_item_ids, __pyx_v_neg_item_ids, __pyx_v_indptr, __pyx_v_p_user_indices, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_v_G1, __pyx_v_G2, __pyx_v_G3, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_O, __pyx_v_sgrad_G1, __pyx_v_sgrad_G2, __pyx_v_sgrad_G3, __pyx_v_sgrad_U, __pyx_v_sgrad_I, __pyx_v_sgrad_A, __pyx_v_sgrad_O, __pyx_v_del_g1, __pyx_v_del_g2, __pyx_v_del_g3, __pyx_v_del_u, __pyx_v_del_i, __pyx_v_del_a, __pyx_v_del_o, __pyx_v_del_g1_reg, __pyx_v_del_g2_reg, __pyx_v_del_g3_reg, __pyx_v_del_u_reg, __pyx_v_del_i_reg, __pyx_v_del_a_reg, __pyx_v_del_o_reg); + + /* function exit code */ + goto __pyx_L0; + __pyx_L1_error:; + __pyx_r = NULL; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_14_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg, int __pyx_v_n_threads, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_iids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_YU, __Pyx_memviewslice __pyx_v_YU_uids, __Pyx_memviewslice __pyx_v_YU_aids, __Pyx_memviewslice __pyx_v_YU_oids, __Pyx_memviewslice __pyx_v_YI, __Pyx_memviewslice __pyx_v_YI_iids, __Pyx_memviewslice __pyx_v_YI_aids, __Pyx_memviewslice __pyx_v_YI_oids, struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict, __Pyx_memviewslice __pyx_v_user_ids, __Pyx_memviewslice __pyx_v_item_ids, __Pyx_memviewslice __pyx_v_neg_item_ids, __Pyx_memviewslice __pyx_v_indptr, __Pyx_memviewslice __pyx_v_p_user_indices, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_G1, __Pyx_memviewslice __pyx_v_G2, __Pyx_memviewslice __pyx_v_G3, __Pyx_memviewslice __pyx_v_U, __Pyx_memviewslice __pyx_v_I, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_O, __Pyx_memviewslice __pyx_v_sgrad_G1, __Pyx_memviewslice __pyx_v_sgrad_G2, __Pyx_memviewslice __pyx_v_sgrad_G3, __Pyx_memviewslice __pyx_v_sgrad_U, __Pyx_memviewslice __pyx_v_sgrad_I, __Pyx_memviewslice __pyx_v_sgrad_A, __Pyx_memviewslice __pyx_v_sgrad_O, PyArrayObject *__pyx_v_del_g1, PyArrayObject *__pyx_v_del_g2, PyArrayObject *__pyx_v_del_g3, PyArrayObject *__pyx_v_del_u, PyArrayObject *__pyx_v_del_i, PyArrayObject *__pyx_v_del_a, PyArrayObject *__pyx_v_del_o, PyArrayObject *__pyx_v_del_g1_reg, PyArrayObject *__pyx_v_del_g2_reg, PyArrayObject *__pyx_v_del_g3_reg, PyArrayObject *__pyx_v_del_u_reg, PyArrayObject *__pyx_v_del_i_reg, PyArrayObject *__pyx_v_del_a_reg, PyArrayObject *__pyx_v_del_o_reg) { + long __pyx_v_s; + long __pyx_v_correct; + long __pyx_v_skipped; + long __pyx_v_aspect_correct; + long __pyx_v_n_users; + long __pyx_v_n_items; + long __pyx_v_n_aspects; + CYTHON_UNUSED long __pyx_v_n_opinions; + long __pyx_v_n_user_factors; + long __pyx_v_n_item_factors; + long __pyx_v_n_aspect_factors; + long __pyx_v_n_opinion_factors; + CYTHON_UNUSED int __pyx_v_num_samples; + CYTHON_UNUSED int __pyx_v_num_bpr_samples; + CYTHON_UNUSED int __pyx_v_num_pair_samples; + CYTHON_UNUSED int __pyx_v__; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_k; + int __pyx_v_idx; + int __pyx_v_jdx; + int __pyx_v_u_idx; + int __pyx_v_i_idx; + int __pyx_v_a_idx; + int __pyx_v_o_idx; + int __pyx_v_j_idx; + int __pyx_v_thread_id; + float __pyx_v_z; + float __pyx_v_score; + float __pyx_v_i_score; + float __pyx_v_j_score; + float __pyx_v_pred; + float __pyx_v_i_ij; + float __pyx_v_a_ji; + float __pyx_v_loss; + float __pyx_v_bpr_loss; + float __pyx_v_aspect_bpr_loss; + float __pyx_v_del_sqerror; + float __pyx_v_del_bpr; + float __pyx_v_del_aspect_bpr; + float __pyx_v_eps; + float __pyx_v_lr; + float __pyx_v_ld_reg; + float __pyx_v_ld_bpr; + float __pyx_v_lambda_d; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_a; + __Pyx_Buffer __pyx_pybuffer_del_a; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_a_reg; + __Pyx_Buffer __pyx_pybuffer_del_a_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g1; + __Pyx_Buffer __pyx_pybuffer_del_g1; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g1_reg; + __Pyx_Buffer __pyx_pybuffer_del_g1_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g2; + __Pyx_Buffer __pyx_pybuffer_del_g2; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g2_reg; + __Pyx_Buffer __pyx_pybuffer_del_g2_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g3; + __Pyx_Buffer __pyx_pybuffer_del_g3; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g3_reg; + __Pyx_Buffer __pyx_pybuffer_del_g3_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_i; + __Pyx_Buffer __pyx_pybuffer_del_i; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_i_reg; + __Pyx_Buffer __pyx_pybuffer_del_i_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_o; + __Pyx_Buffer __pyx_pybuffer_del_o; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_o_reg; + __Pyx_Buffer __pyx_pybuffer_del_o_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_u; + __Pyx_Buffer __pyx_pybuffer_del_u; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_u_reg; + __Pyx_Buffer __pyx_pybuffer_del_u_reg; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + long __pyx_t_3; + int __pyx_t_4; + float __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + int __pyx_t_7; + int __pyx_t_8; + Py_ssize_t __pyx_t_9; + long __pyx_t_10; + int __pyx_t_11; + long __pyx_t_12; + long __pyx_t_13; + int __pyx_t_14; + long __pyx_t_15; + long __pyx_t_16; + int __pyx_t_17; + Py_ssize_t __pyx_t_18; + Py_ssize_t __pyx_t_19; + Py_ssize_t __pyx_t_20; + Py_ssize_t __pyx_t_21; + Py_ssize_t __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + Py_ssize_t __pyx_t_25; + int __pyx_t_26; + long __pyx_t_27; + PyObject *__pyx_t_28 = NULL; + PyObject *__pyx_t_29 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_0_1_fit_mter", 0); + __pyx_pybuffer_del_g1.pybuffer.buf = NULL; + __pyx_pybuffer_del_g1.refcount = 0; + __pyx_pybuffernd_del_g1.data = NULL; + __pyx_pybuffernd_del_g1.rcbuffer = &__pyx_pybuffer_del_g1; + __pyx_pybuffer_del_g2.pybuffer.buf = NULL; + __pyx_pybuffer_del_g2.refcount = 0; + __pyx_pybuffernd_del_g2.data = NULL; + __pyx_pybuffernd_del_g2.rcbuffer = &__pyx_pybuffer_del_g2; + __pyx_pybuffer_del_g3.pybuffer.buf = NULL; + __pyx_pybuffer_del_g3.refcount = 0; + __pyx_pybuffernd_del_g3.data = NULL; + __pyx_pybuffernd_del_g3.rcbuffer = &__pyx_pybuffer_del_g3; + __pyx_pybuffer_del_u.pybuffer.buf = NULL; + __pyx_pybuffer_del_u.refcount = 0; + __pyx_pybuffernd_del_u.data = NULL; + __pyx_pybuffernd_del_u.rcbuffer = &__pyx_pybuffer_del_u; + __pyx_pybuffer_del_i.pybuffer.buf = NULL; + __pyx_pybuffer_del_i.refcount = 0; + __pyx_pybuffernd_del_i.data = NULL; + __pyx_pybuffernd_del_i.rcbuffer = &__pyx_pybuffer_del_i; + __pyx_pybuffer_del_a.pybuffer.buf = NULL; + __pyx_pybuffer_del_a.refcount = 0; + __pyx_pybuffernd_del_a.data = NULL; + __pyx_pybuffernd_del_a.rcbuffer = &__pyx_pybuffer_del_a; + __pyx_pybuffer_del_o.pybuffer.buf = NULL; + __pyx_pybuffer_del_o.refcount = 0; + __pyx_pybuffernd_del_o.data = NULL; + __pyx_pybuffernd_del_o.rcbuffer = &__pyx_pybuffer_del_o; + __pyx_pybuffer_del_g1_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g1_reg.refcount = 0; + __pyx_pybuffernd_del_g1_reg.data = NULL; + __pyx_pybuffernd_del_g1_reg.rcbuffer = &__pyx_pybuffer_del_g1_reg; + __pyx_pybuffer_del_g2_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g2_reg.refcount = 0; + __pyx_pybuffernd_del_g2_reg.data = NULL; + __pyx_pybuffernd_del_g2_reg.rcbuffer = &__pyx_pybuffer_del_g2_reg; + __pyx_pybuffer_del_g3_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g3_reg.refcount = 0; + __pyx_pybuffernd_del_g3_reg.data = NULL; + __pyx_pybuffernd_del_g3_reg.rcbuffer = &__pyx_pybuffer_del_g3_reg; + __pyx_pybuffer_del_u_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_u_reg.refcount = 0; + __pyx_pybuffernd_del_u_reg.data = NULL; + __pyx_pybuffernd_del_u_reg.rcbuffer = &__pyx_pybuffer_del_u_reg; + __pyx_pybuffer_del_i_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_i_reg.refcount = 0; + __pyx_pybuffernd_del_i_reg.data = NULL; + __pyx_pybuffernd_del_i_reg.rcbuffer = &__pyx_pybuffer_del_i_reg; + __pyx_pybuffer_del_a_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_a_reg.refcount = 0; + __pyx_pybuffernd_del_a_reg.data = NULL; + __pyx_pybuffernd_del_a_reg.rcbuffer = &__pyx_pybuffer_del_a_reg; + __pyx_pybuffer_del_o_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_o_reg.refcount = 0; + __pyx_pybuffernd_del_o_reg.data = NULL; + __pyx_pybuffernd_del_o_reg.rcbuffer = &__pyx_pybuffer_del_o_reg; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g1.diminfo[0].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g1.diminfo[0].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g1.diminfo[1].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g1.diminfo[1].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g1.diminfo[2].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g1.diminfo[2].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g2, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g2.diminfo[0].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g2.diminfo[0].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g2.diminfo[1].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g2.diminfo[1].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g2.diminfo[2].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g2.diminfo[2].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g3, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g3.diminfo[0].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g3.diminfo[0].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g3.diminfo[1].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g3.diminfo[1].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g3.diminfo[2].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g3.diminfo[2].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_u, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_u.diminfo[0].strides = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_u.diminfo[0].shape = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_u.diminfo[1].strides = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_u.diminfo[1].shape = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_i, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_i.diminfo[0].strides = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_i.diminfo[0].shape = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_i.diminfo[1].strides = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_i.diminfo[1].shape = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_a, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_a.diminfo[0].strides = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_a.diminfo[0].shape = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_a.diminfo[1].strides = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_a.diminfo[1].shape = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_o, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_o.diminfo[0].strides = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_o.diminfo[0].shape = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_o.diminfo[1].strides = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_o.diminfo[1].shape = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g1_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g1_reg.diminfo[0].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g1_reg.diminfo[0].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g1_reg.diminfo[1].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g1_reg.diminfo[1].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g1_reg.diminfo[2].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g1_reg.diminfo[2].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g2_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g2_reg.diminfo[0].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g2_reg.diminfo[0].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g2_reg.diminfo[1].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g2_reg.diminfo[1].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g2_reg.diminfo[2].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g2_reg.diminfo[2].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g3_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g3_reg.diminfo[0].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g3_reg.diminfo[0].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g3_reg.diminfo[1].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g3_reg.diminfo[1].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g3_reg.diminfo[2].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g3_reg.diminfo[2].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_u_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_u_reg.diminfo[0].strides = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_u_reg.diminfo[0].shape = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_u_reg.diminfo[1].strides = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_u_reg.diminfo[1].shape = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_i_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_i_reg.diminfo[0].strides = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_i_reg.diminfo[0].shape = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_i_reg.diminfo[1].strides = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_i_reg.diminfo[1].shape = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_a_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_a_reg.diminfo[0].strides = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_a_reg.diminfo[0].shape = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_a_reg.diminfo[1].strides = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_a_reg.diminfo[1].shape = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_o_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_o_reg.diminfo[0].strides = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_o_reg.diminfo[0].shape = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_o_reg.diminfo[1].strides = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_o_reg.diminfo[1].shape = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.shape[1]; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":521 + * """ + * cdef: + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 # <<<<<<<<<<<<<< + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items + */ + __pyx_v_correct = 0; + __pyx_v_skipped = 0; + __pyx_v_aspect_correct = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":522 + * cdef: + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + * long n_users = self.train_set.num_users # <<<<<<<<<<<<<< + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_users); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_2); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_n_users = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":523 + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items # <<<<<<<<<<<<<< + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_items); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_items = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":524 + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects # <<<<<<<<<<<<<< + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_aspects = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":525 + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions # <<<<<<<<<<<<<< + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_opinions); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_opinions = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":526 + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors # <<<<<<<<<<<<<< + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_user_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_user_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":527 + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors # <<<<<<<<<<<<<< + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_item_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_item_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":528 + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors # <<<<<<<<<<<<<< + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_aspect_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_aspect_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":529 + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors # <<<<<<<<<<<<<< + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_opinion_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_opinion_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":530 + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples # <<<<<<<<<<<<<< + * int num_bpr_samples = self.n_bpr_samples + * int num_pair_samples = self.n_pair_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_element_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 530, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 530, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":531 + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples # <<<<<<<<<<<<<< + * int num_pair_samples = self.n_pair_samples + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_bpr_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 531, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 531, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_bpr_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":532 + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples + * int num_pair_samples = self.n_pair_samples # <<<<<<<<<<<<<< + * + * integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_pair_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_pair_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":536 + * integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + * floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + * floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr # <<<<<<<<<<<<<< + * floating eps = 1e-9 + * + */ + __pyx_v_loss = 0.; + __pyx_v_bpr_loss = 0.; + __pyx_v_aspect_bpr_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":537 + * floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + * floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr + * floating eps = 1e-9 # <<<<<<<<<<<<<< + * + * floating lr = self.lr + */ + __pyx_v_eps = 1e-9; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":539 + * floating eps = 1e-9 + * + * floating lr = self.lr # <<<<<<<<<<<<<< + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_lr = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":540 + * + * floating lr = self.lr + * floating ld_reg = self.lambda_reg # <<<<<<<<<<<<<< + * floating ld_bpr = self.lambda_bpr + * floating lambda_d = self.lambda_d + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_reg); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_ld_reg = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":541 + * floating lr = self.lr + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr # <<<<<<<<<<<<<< + * floating lambda_d = self.lambda_d + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_bpr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 541, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 541, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_ld_bpr = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":542 + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr + * floating lambda_d = self.lambda_d # <<<<<<<<<<<<<< + * + * del_g1.fill(0) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 542, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 542, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_lambda_d = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":544 + * floating lambda_d = self.lambda_d + * + * del_g1.fill(0) # <<<<<<<<<<<<<< + * del_g2.fill(0) + * del_g3.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g1), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 544, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 544, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":545 + * + * del_g1.fill(0) + * del_g2.fill(0) # <<<<<<<<<<<<<< + * del_g3.fill(0) + * del_u.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g2), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":546 + * del_g1.fill(0) + * del_g2.fill(0) + * del_g3.fill(0) # <<<<<<<<<<<<<< + * del_u.fill(0) + * del_i.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g3), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":547 + * del_g2.fill(0) + * del_g3.fill(0) + * del_u.fill(0) # <<<<<<<<<<<<<< + * del_i.fill(0) + * del_a.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_u), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":548 + * del_g3.fill(0) + * del_u.fill(0) + * del_i.fill(0) # <<<<<<<<<<<<<< + * del_a.fill(0) + * del_o.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_i), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 548, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 548, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":549 + * del_u.fill(0) + * del_i.fill(0) + * del_a.fill(0) # <<<<<<<<<<<<<< + * del_o.fill(0) + * del_g1_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_a), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":550 + * del_i.fill(0) + * del_a.fill(0) + * del_o.fill(0) # <<<<<<<<<<<<<< + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_o), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":551 + * del_a.fill(0) + * del_o.fill(0) + * del_g1_reg.fill(0) # <<<<<<<<<<<<<< + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g1_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":552 + * del_o.fill(0) + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) # <<<<<<<<<<<<<< + * del_g3_reg.fill(0) + * del_u_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g2_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":553 + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) # <<<<<<<<<<<<<< + * del_u_reg.fill(0) + * del_i_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g3_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":554 + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) + * del_u_reg.fill(0) # <<<<<<<<<<<<<< + * del_i_reg.fill(0) + * del_a_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_u_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":555 + * del_g3_reg.fill(0) + * del_u_reg.fill(0) + * del_i_reg.fill(0) # <<<<<<<<<<<<<< + * del_a_reg.fill(0) + * del_o_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_i_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 555, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 555, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":556 + * del_u_reg.fill(0) + * del_i_reg.fill(0) + * del_a_reg.fill(0) # <<<<<<<<<<<<<< + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_a_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":557 + * del_i_reg.fill(0) + * del_a_reg.fill(0) + * del_o_reg.fill(0) # <<<<<<<<<<<<<< + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_o_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":558 + * del_a_reg.fill(0) + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel private(__pyx_v_thread_id) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_bpr_loss) reduction(+:__pyx_v_correct) reduction(+:__pyx_v_skipped) reduction(+:__pyx_v_aspect_bpr_loss) reduction(+:__pyx_v_aspect_correct) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_3, __pyx_t_4, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) + #endif /* _OPENMP */ + { + /* Initialize private variables to invalid values */ + __pyx_v_thread_id = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":559 + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() # <<<<<<<<<<<<<< + * for _ in prange(num_samples, schedule='guided'): + * # get user item aspect element + */ + __pyx_v_thread_id = recom_bpr::get_thread_num(); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":560 + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): # <<<<<<<<<<<<<< + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) + */ + __pyx_t_4 = __pyx_v_num_samples; + if ((1 == 0)) abort(); + { + __pyx_t_8 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_8 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_a_idx) lastprivate(__pyx_v_del_sqerror) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_o_idx) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_score) lastprivate(__pyx_v_u_idx) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_8; __pyx_t_7++){ + { + __pyx_v__ = (int)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_a_idx = ((int)0xbad0bad0); + __pyx_v_del_sqerror = ((float)__PYX_NAN()); + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_i_idx = ((int)0xbad0bad0); + __pyx_v_idx = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_o_idx = ((int)0xbad0bad0); + __pyx_v_pred = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + __pyx_v_u_idx = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":562 + * for _ in prange(num_samples, schedule='guided'): + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_uia->__pyx_vtab)->generate(__pyx_v_rng_pos_uia, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":563 + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) + * u_idx = X_uids[idx] # <<<<<<<<<<<<<< + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_u_idx = (*((int *) ( /* dim=0 */ (__pyx_v_X_uids.data + __pyx_t_9 * __pyx_v_X_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":564 + * idx = rng_pos_uia.generate(thread_id) + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] # <<<<<<<<<<<<<< + * a_idx = X_aids[idx] + * score = X[idx] + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_i_idx = (*((int *) ( /* dim=0 */ (__pyx_v_X_iids.data + __pyx_t_9 * __pyx_v_X_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":565 + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] # <<<<<<<<<<<<<< + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_a_idx = (*((int *) ( /* dim=0 */ (__pyx_v_X_aids.data + __pyx_t_9 * __pyx_v_X_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":566 + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] + * score = X[idx] # <<<<<<<<<<<<<< + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_X.data + __pyx_t_9 * __pyx_v_X.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":567 + * a_idx = X_aids[idx] + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_a_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":568 + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":570 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * for i in range(n_user_factors): + * for j in range(n_item_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":571 + * + * del_sqerror = 2 * (pred - score) + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":572 + * del_sqerror = 2 * (pred - score) + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":573 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":574 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_9 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_i_idx; + __pyx_t_20 = __pyx_v_j; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_k; + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_18 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_20 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_21 * __pyx_v_A.strides[0]) ) + __pyx_t_22 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":575 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + */ + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_i_idx; + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_22 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":576 + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + * + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_k; + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_24 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_25 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_19 * __pyx_v_U.strides[0]) ) + __pyx_t_20 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_21 * __pyx_v_A.strides[0]) ) + __pyx_t_22 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":577 + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] # <<<<<<<<<<<<<< + * + * # get user aspect opinion element + */ + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_j; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_22 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_19 * __pyx_v_U.strides[0]) ) + __pyx_t_18 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))); + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":580 + * + * # get user aspect opinion element + * idx = rng_pos_uao.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_uao->__pyx_vtab)->generate(__pyx_v_rng_pos_uao, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":581 + * # get user aspect opinion element + * idx = rng_pos_uao.generate(thread_id) + * u_idx = YU_uids[idx] # <<<<<<<<<<<<<< + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_u_idx = (*((int *) ( /* dim=0 */ (__pyx_v_YU_uids.data + __pyx_t_25 * __pyx_v_YU_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":582 + * idx = rng_pos_uao.generate(thread_id) + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] # <<<<<<<<<<<<<< + * o_idx = YU_oids[idx] + * score = YU[idx] + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_a_idx = (*((int *) ( /* dim=0 */ (__pyx_v_YU_aids.data + __pyx_t_25 * __pyx_v_YU_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":583 + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] # <<<<<<<<<<<<<< + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_o_idx = (*((int *) ( /* dim=0 */ (__pyx_v_YU_oids.data + __pyx_t_25 * __pyx_v_YU_oids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":584 + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] + * score = YU[idx] # <<<<<<<<<<<<<< + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_YU.data + __pyx_t_25 * __pyx_v_YU.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":585 + * o_idx = YU_oids[idx] + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G2, __pyx_v_n_user_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_U, __pyx_v_A, __pyx_v_O, __pyx_v_u_idx, __pyx_v_a_idx, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":586 + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":588 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * + * for i in range(n_user_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":590 + * del_sqerror = 2 * (pred - score) + * + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":591 + * + * for i in range(n_user_factors): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_12 = __pyx_v_n_aspect_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":592 + * for i in range(n_user_factors): + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_15 = __pyx_v_n_opinion_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":593 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + */ + __pyx_t_25 = __pyx_v_u_idx; + __pyx_t_9 = __pyx_v_i; + __pyx_t_18 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_j; + __pyx_t_20 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_20 * __pyx_v_O.strides[0]) ) + __pyx_t_21 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":594 + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + */ + __pyx_t_21 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_18 = __pyx_v_a_idx; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_o_idx; + __pyx_t_24 = __pyx_v_k; + __pyx_t_23 = __pyx_v_u_idx; + __pyx_t_22 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_u.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_21 * __pyx_v_G2.strides[0]) ) + __pyx_t_20 * __pyx_v_G2.strides[1]) ) + __pyx_t_19 * __pyx_v_G2.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_9 * __pyx_v_A.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_25 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":595 + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_18 = __pyx_v_u_idx; + __pyx_t_19 = __pyx_v_i; + __pyx_t_20 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + __pyx_t_22 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_24 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_9 * __pyx_v_G2.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_19 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_20 * __pyx_v_O.strides[0]) ) + __pyx_t_21 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":596 + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] # <<<<<<<<<<<<<< + * + * # get item aspect opinion element + */ + __pyx_t_21 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_18 = __pyx_v_u_idx; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_a_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_o_idx; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_o.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_21 * __pyx_v_G2.strides[0]) ) + __pyx_t_20 * __pyx_v_G2.strides[1]) ) + __pyx_t_19 * __pyx_v_G2.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_24 * __pyx_v_A.strides[1]) )))); + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":599 + * + * # get item aspect opinion element + * idx = rng_pos_iao.generate(thread_id) # <<<<<<<<<<<<<< + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_iao->__pyx_vtab)->generate(__pyx_v_rng_pos_iao, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":600 + * # get item aspect opinion element + * idx = rng_pos_iao.generate(thread_id) + * i_idx = YI_iids[idx] # <<<<<<<<<<<<<< + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i_idx = (*((int *) ( /* dim=0 */ (__pyx_v_YI_iids.data + __pyx_t_24 * __pyx_v_YI_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":601 + * idx = rng_pos_iao.generate(thread_id) + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] # <<<<<<<<<<<<<< + * o_idx = YI_oids[idx] + * score = YI[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_a_idx = (*((int *) ( /* dim=0 */ (__pyx_v_YI_aids.data + __pyx_t_24 * __pyx_v_YI_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":602 + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] # <<<<<<<<<<<<<< + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_o_idx = (*((int *) ( /* dim=0 */ (__pyx_v_YI_oids.data + __pyx_t_24 * __pyx_v_YI_oids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":603 + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] + * score = YI[idx] # <<<<<<<<<<<<<< + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_YI.data + __pyx_t_24 * __pyx_v_YI.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":604 + * o_idx = YI_oids[idx] + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G3, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_I, __pyx_v_A, __pyx_v_O, __pyx_v_i_idx, __pyx_v_a_idx, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":605 + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":607 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":608 + * + * del_sqerror = 2 * (pred - score) + * for i in range(n_item_factors): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + */ + __pyx_t_3 = __pyx_v_n_item_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":609 + * del_sqerror = 2 * (pred - score) + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_12 = __pyx_v_n_aspect_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":610 + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_15 = __pyx_v_n_opinion_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":611 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + */ + __pyx_t_24 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_o_idx; + __pyx_t_20 = __pyx_v_k; + __pyx_t_21 = __pyx_v_i; + __pyx_t_22 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_24 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_20 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":612 + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_25 = __pyx_v_j; + __pyx_t_24 = __pyx_v_o_idx; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i_idx; + __pyx_t_21 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_19 * __pyx_v_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_G3.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_24 * __pyx_v_O.strides[0]) ) + __pyx_t_23 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":613 + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + * + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_o_idx; + __pyx_t_20 = __pyx_v_k; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_23 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_25 * __pyx_v_G3.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_20 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":614 + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] # <<<<<<<<<<<<<< + * + * for _ in prange(num_bpr_samples, schedule='guided'): + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_j; + __pyx_t_22 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_o.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_19 * __pyx_v_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_G3.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":616 + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + * + * for _ in prange(num_bpr_samples, schedule='guided'): # <<<<<<<<<<<<<< + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] + */ + __pyx_t_8 = __pyx_v_num_bpr_samples; + if ((1 == 0)) abort(); + { + __pyx_t_4 = (__pyx_t_8 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_4 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_del_bpr) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_i_ij) lastprivate(__pyx_v_i_score) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_j_idx) lastprivate(__pyx_v_j_score) lastprivate(__pyx_v_jdx) lastprivate(__pyx_v_k) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_s) lastprivate(__pyx_v_u_idx) lastprivate(__pyx_v_z) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_4; __pyx_t_7++){ + { + __pyx_v__ = (int)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_del_bpr = ((float)__PYX_NAN()); + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_i_idx = ((int)0xbad0bad0); + __pyx_v_i_ij = ((float)__PYX_NAN()); + __pyx_v_i_score = ((float)__PYX_NAN()); + __pyx_v_idx = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_j_idx = ((int)0xbad0bad0); + __pyx_v_j_score = ((float)__PYX_NAN()); + __pyx_v_jdx = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_pred = ((float)__PYX_NAN()); + __pyx_v_s = ((long)0xbad0bad0); + __pyx_v_u_idx = ((int)0xbad0bad0); + __pyx_v_z = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":617 + * + * for _ in prange(num_bpr_samples, schedule='guided'): + * idx = rng_pos.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos->__pyx_vtab)->generate(__pyx_v_rng_pos, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":618 + * for _ in prange(num_bpr_samples, schedule='guided'): + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] # <<<<<<<<<<<<<< + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_u_idx = (*((int *) ( /* dim=0 */ (__pyx_v_user_ids.data + __pyx_t_23 * __pyx_v_user_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":619 + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] # <<<<<<<<<<<<<< + * jdx = rng_neg.generate(thread_id) + * j_idx = neg_item_ids[jdx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_i_idx = (*((int *) ( /* dim=0 */ (__pyx_v_item_ids.data + __pyx_t_23 * __pyx_v_item_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":620 + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) # <<<<<<<<<<<<<< + * j_idx = neg_item_ids[jdx] + * + */ + __pyx_v_jdx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_neg->__pyx_vtab)->generate(__pyx_v_rng_neg, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":621 + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) + * j_idx = neg_item_ids[jdx] # <<<<<<<<<<<<<< + * + * s = 1 + */ + __pyx_t_23 = __pyx_v_jdx; + __pyx_v_j_idx = (*((int *) ( /* dim=0 */ (__pyx_v_neg_item_ids.data + __pyx_t_23 * __pyx_v_neg_item_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":623 + * j_idx = neg_item_ids[jdx] + * + * s = 1 # <<<<<<<<<<<<<< + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + */ + __pyx_v_s = 1; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":625 + * s = 1 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): # <<<<<<<<<<<<<< + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + */ + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_26 = (__pyx_fuse_1__pyx_f_6cornac_6models_3bpr_9recom_bpr_has_non_zero(__pyx_v_indptr, __pyx_v_item_ids, (*((int *) ( /* dim=0 */ (__pyx_v_user_ids.data + __pyx_t_23 * __pyx_v_user_ids.strides[0]) ))), __pyx_v_j_idx) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":626 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] # <<<<<<<<<<<<<< + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: + */ + __pyx_v_i_score = (__pyx_v_rating_dict->my_map[__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_v_u_idx, __pyx_v_i_idx)]); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":627 + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] # <<<<<<<<<<<<<< + * if i_score == j_score: + * skipped += 1 + */ + __pyx_v_j_score = (__pyx_v_rating_dict->my_map[__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_v_u_idx, __pyx_v_j_idx)]); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":628 + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: # <<<<<<<<<<<<<< + * skipped += 1 + * continue + */ + __pyx_t_26 = ((__pyx_v_i_score == __pyx_v_j_score) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":629 + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: + * skipped += 1 # <<<<<<<<<<<<<< + * continue + * elif i_score < j_score: + */ + __pyx_v_skipped = (__pyx_v_skipped + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":630 + * if i_score == j_score: + * skipped += 1 + * continue # <<<<<<<<<<<<<< + * elif i_score < j_score: + * s = -1 + */ + goto __pyx_L34_continue; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":628 + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: # <<<<<<<<<<<<<< + * skipped += 1 + * continue + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":631 + * skipped += 1 + * continue + * elif i_score < j_score: # <<<<<<<<<<<<<< + * s = -1 + * + */ + __pyx_t_26 = ((__pyx_v_i_score < __pyx_v_j_score) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":632 + * continue + * elif i_score < j_score: + * s = -1 # <<<<<<<<<<<<<< + * + * pred = ( + */ + __pyx_v_s = -1L; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":631 + * skipped += 1 + * continue + * elif i_score < j_score: # <<<<<<<<<<<<<< + * s = -1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":625 + * s = 1 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): # <<<<<<<<<<<<<< + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":637 + * get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, n_aspects) + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + * ) * s # <<<<<<<<<<<<<< + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + */ + __pyx_v_pred = ((__pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_n_aspects) - __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_j_idx, __pyx_v_n_aspects)) * __pyx_v_s); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":638 + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + * ) * s + * z = (1.0 / (1.0 + exp(pred))) # <<<<<<<<<<<<<< + * if z < .5: + * correct += 1 + */ + __pyx_v_z = (1.0 / (1.0 + exp(__pyx_v_pred))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":639 + * ) * s + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * del_bpr = ld_bpr * z * s + */ + __pyx_t_26 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":640 + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + * correct += 1 # <<<<<<<<<<<<<< + * del_bpr = ld_bpr * z * s + * + */ + __pyx_v_correct = (__pyx_v_correct + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":639 + * ) * s + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * del_bpr = ld_bpr * z * s + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":641 + * if z < .5: + * correct += 1 + * del_bpr = ld_bpr * z * s # <<<<<<<<<<<<<< + * + * bpr_loss += log(1 / (1 + exp(-pred))) + */ + __pyx_v_del_bpr = ((__pyx_v_ld_bpr * __pyx_v_z) * __pyx_v_s); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":643 + * del_bpr = ld_bpr * z * s + * + * bpr_loss += log(1 / (1 + exp(-pred))) # <<<<<<<<<<<<<< + * + * for i in range(n_user_factors): + */ + __pyx_v_bpr_loss = (__pyx_v_bpr_loss + log((1.0 / (1.0 + exp((-__pyx_v_pred)))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":645 + * bpr_loss += log(1 / (1 + exp(-pred))) + * + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":646 + * + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":647 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + */ + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_j_idx; + __pyx_t_9 = __pyx_v_j; + __pyx_v_i_ij = ((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_23 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) ))) - (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_25 * __pyx_v_I.strides[0]) ) + __pyx_t_9 * __pyx_v_I.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":648 + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":649 + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + */ + __pyx_t_9 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_n_aspects; + __pyx_t_23 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_20, __pyx_pybuffernd_del_g1.diminfo[2].strides) -= (((__pyx_v_del_bpr * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * __pyx_v_i_ij) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":650 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_9 = __pyx_v_n_aspects; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_u.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_23 * __pyx_v_G1.strides[0]) ) + __pyx_t_24 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * __pyx_v_i_ij) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_20 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":651 + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_18 = __pyx_v_n_aspects; + __pyx_t_19 = __pyx_v_k; + __pyx_t_21 = __pyx_v_i_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":652 + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_n_aspects; + __pyx_t_20 = __pyx_v_k; + __pyx_t_22 = __pyx_v_j_idx; + __pyx_t_21 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_19 * __pyx_v_G1.strides[0]) ) + __pyx_t_18 * __pyx_v_G1.strides[1]) ) + __pyx_t_23 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_20 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":653 + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij # <<<<<<<<<<<<<< + * + * for _ in prange(num_pair_samples, schedule='guided'): + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_18 = __pyx_v_n_aspects; + __pyx_t_19 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * __pyx_v_i_ij); + } + } + } + goto __pyx_L48; + __pyx_L34_continue:; + goto __pyx_L48; + __pyx_L48:; + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":655 + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + * + * for _ in prange(num_pair_samples, schedule='guided'): # <<<<<<<<<<<<<< + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] + */ + __pyx_t_4 = __pyx_v_num_pair_samples; + if ((1 == 0)) abort(); + { + __pyx_t_8 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_8 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_a_idx) lastprivate(__pyx_v_a_ji) lastprivate(__pyx_v_del_aspect_bpr) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_j_idx) lastprivate(__pyx_v_k) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_u_idx) lastprivate(__pyx_v_z) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_8; __pyx_t_7++){ + { + __pyx_v__ = (int)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_a_idx = ((int)0xbad0bad0); + __pyx_v_a_ji = ((float)__PYX_NAN()); + __pyx_v_del_aspect_bpr = ((float)__PYX_NAN()); + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_i_idx = ((int)0xbad0bad0); + __pyx_v_idx = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_j_idx = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_pred = ((float)__PYX_NAN()); + __pyx_v_u_idx = ((int)0xbad0bad0); + __pyx_v_z = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":656 + * + * for _ in prange(num_pair_samples, schedule='guided'): + * idx = rng_pos_pair.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_pair->__pyx_vtab)->generate(__pyx_v_rng_pos_pair, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":657 + * for _ in prange(num_pair_samples, schedule='guided'): + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] # <<<<<<<<<<<<<< + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_u_idx = (*((int *) ( /* dim=0 */ (__pyx_v_p_user_indices.data + __pyx_t_23 * __pyx_v_p_user_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":658 + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] # <<<<<<<<<<<<<< + * j_idx = later_indices[idx] + * a_idx = aspect_indices[idx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_i_idx = (*((int *) ( /* dim=0 */ (__pyx_v_earlier_indices.data + __pyx_t_23 * __pyx_v_earlier_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":659 + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] # <<<<<<<<<<<<<< + * a_idx = aspect_indices[idx] + * + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_j_idx = (*((int *) ( /* dim=0 */ (__pyx_v_later_indices.data + __pyx_t_23 * __pyx_v_later_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":660 + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] + * a_idx = aspect_indices[idx] # <<<<<<<<<<<<<< + * + * pred = ( + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_a_idx = (*((int *) ( /* dim=0 */ (__pyx_v_aspect_indices.data + __pyx_t_23 * __pyx_v_aspect_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":664 + * pred = ( + * get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, a_idx) + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) # <<<<<<<<<<<<<< + * ) + * + */ + __pyx_v_pred = (__pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_j_idx, __pyx_v_a_idx) - __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_a_idx)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":667 + * ) + * + * z = (1.0 / (1.0 + exp(pred))) # <<<<<<<<<<<<<< + * if z < .5: + * aspect_correct += 1 + */ + __pyx_v_z = (1.0 / (1.0 + exp(__pyx_v_pred))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":668 + * + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * aspect_correct += 1 + * + */ + __pyx_t_26 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":669 + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + * aspect_correct += 1 # <<<<<<<<<<<<<< + * + * del_aspect_bpr = lambda_d * z + */ + __pyx_v_aspect_correct = (__pyx_v_aspect_correct + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":668 + * + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * aspect_correct += 1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":671 + * aspect_correct += 1 + * + * del_aspect_bpr = lambda_d * z # <<<<<<<<<<<<<< + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): + */ + __pyx_v_del_aspect_bpr = (__pyx_v_lambda_d * __pyx_v_z); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":672 + * + * del_aspect_bpr = lambda_d * z + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) # <<<<<<<<<<<<<< + * for i in range(n_user_factors): + * for j in range(n_item_factors): + */ + __pyx_v_aspect_bpr_loss = (__pyx_v_aspect_bpr_loss + log((1.0 / (1.0 + exp((-__pyx_v_pred)))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":673 + * del_aspect_bpr = lambda_d * z + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":674 + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":675 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + */ + __pyx_t_23 = __pyx_v_j_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i_idx; + __pyx_t_9 = __pyx_v_j; + __pyx_v_a_ji = ((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_23 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) ))) - (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_25 * __pyx_v_I.strides[0]) ) + __pyx_t_9 * __pyx_v_I.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":676 + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":677 + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_9 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g1.diminfo[2].strides) -= (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * __pyx_v_a_ji) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":678 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_20 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_20, __pyx_pybuffernd_del_u.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_23 * __pyx_v_G1.strides[0]) ) + __pyx_t_24 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * __pyx_v_a_ji) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":679 + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_20 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_k; + __pyx_t_21 = __pyx_v_j_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_20 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":680 + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i_idx; + __pyx_t_21 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_19 * __pyx_v_G1.strides[0]) ) + __pyx_t_20 * __pyx_v_G1.strides[1]) ) + __pyx_t_23 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":681 + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji # <<<<<<<<<<<<<< + * + * # update params with AdaGrad + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_20 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * __pyx_v_a_ji); + } + } + } + } + } + } + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":558 + * del_a_reg.fill(0) + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L5; + } + __pyx_L5:; + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":684 + * + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel private(__pyx_t_10, __pyx_t_12, __pyx_t_13, __pyx_t_15, __pyx_t_16, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_27, __pyx_t_3, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) + #endif /* _OPENMP */ + { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":685 + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): + * for i in prange(n_user_factors, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_users): + * if del_u[j, i] != 0: + */ + __pyx_t_3 = __pyx_v_n_user_factors; + if ((1 == 0)) abort(); + { + __pyx_t_12 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_12 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_12; __pyx_t_10++){ + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":686 + * with nogil, parallel(num_threads=n_threads): + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): # <<<<<<<<<<<<<< + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + */ + __pyx_t_13 = __pyx_v_n_users; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":687 + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + * if del_u[j, i] != 0: # <<<<<<<<<<<<<< + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + */ + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":688 + * for j in range(n_users): + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] # <<<<<<<<<<<<<< + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + */ + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_u_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":687 + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + * if del_u[j, i] != 0: # <<<<<<<<<<<<<< + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":689 + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] # <<<<<<<<<<<<<< + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: + */ + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_U.data + __pyx_t_19 * __pyx_v_sgrad_U.strides[0]) ) + __pyx_t_18 * __pyx_v_sgrad_U.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_u_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_u_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":690 + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] # <<<<<<<<<<<<<< + * if U[j, i] < 0: + * U[j, i] = 0 + */ + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_19 * __pyx_v_U.strides[1]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_U.data + __pyx_t_24 * __pyx_v_sgrad_U.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_U.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_u_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":691 + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: # <<<<<<<<<<<<<< + * U[j, i] = 0 + * + */ + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_26 = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":692 + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: + * U[j, i] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_item_factors): + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":691 + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: # <<<<<<<<<<<<<< + * U[j, i] = 0 + * + */ + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":694 + * U[j, i] = 0 + * + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: + */ + __pyx_t_13 = __pyx_v_n_item_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":695 + * + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + */ + __pyx_t_16 = __pyx_v_n_aspect_factors; + __pyx_t_27 = __pyx_t_16; + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_27; __pyx_t_7+=1) { + __pyx_v_k = __pyx_t_7; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":696 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + */ + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":697 + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_22, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_9, __pyx_pybuffernd_del_g1.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_24 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":696 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":698 + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] # <<<<<<<<<<<<<< + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G1.data + __pyx_t_22 * __pyx_v_sgrad_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_sgrad_G1.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":699 + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] # <<<<<<<<<<<<<< + * if G1[i, j, k] < 0: + * G1[i, j, k] = 0 + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_22 * __pyx_v_G1.strides[2]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G1.data + __pyx_t_23 * __pyx_v_sgrad_G1.strides[0]) ) + __pyx_t_25 * __pyx_v_sgrad_G1.strides[1]) ) + __pyx_t_9 * __pyx_v_sgrad_G1.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":700 + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: # <<<<<<<<<<<<<< + * G1[i, j, k] = 0 + * + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = (((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_24 * __pyx_v_G1.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":701 + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: + * G1[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_aspect_factors): + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_24 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":700 + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: # <<<<<<<<<<<<<< + * G1[i, j, k] = 0 + * + */ + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":703 + * G1[i, j, k] = 0 + * + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":704 + * + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + */ + __pyx_t_16 = __pyx_v_n_opinion_factors; + __pyx_t_27 = __pyx_t_16; + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_27; __pyx_t_7+=1) { + __pyx_v_k = __pyx_t_7; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":705 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":706 + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_20, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g2.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_9 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_23 * __pyx_v_G2.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":705 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":707 + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] # <<<<<<<<<<<<<< + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G2.data + __pyx_t_20 * __pyx_v_sgrad_G2.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G2.strides[1]) ) + __pyx_t_22 * __pyx_v_sgrad_G2.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_9, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":708 + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] # <<<<<<<<<<<<<< + * if G2[i, j, k] < 0: + * G2[i, j, k] = 0 + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_22 * __pyx_v_G2.strides[0]) ) + __pyx_t_21 * __pyx_v_G2.strides[1]) ) + __pyx_t_20 * __pyx_v_G2.strides[2]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G2.data + __pyx_t_24 * __pyx_v_sgrad_G2.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_G2.strides[1]) ) + __pyx_t_18 * __pyx_v_sgrad_G2.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":709 + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: # <<<<<<<<<<<<<< + * G2[i, j, k] = 0 + * + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_26 = (((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_23 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_9 * __pyx_v_G2.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":710 + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: + * G2[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_item_factors, schedule='guided'): + */ + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_9 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_23 * __pyx_v_G2.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":709 + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: # <<<<<<<<<<<<<< + * G2[i, j, k] = 0 + * + */ + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":712 + * G2[i, j, k] = 0 + * + * for i in prange(n_item_factors, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_items): + * if del_i[j, i] != 0: + */ + __pyx_t_12 = __pyx_v_n_item_factors; + if ((1 == 0)) abort(); + { + __pyx_t_3 = (__pyx_t_12 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_3 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_3; __pyx_t_10++){ + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":713 + * + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): # <<<<<<<<<<<<<< + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + */ + __pyx_t_13 = __pyx_v_n_items; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":714 + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): + * if del_i[j, i] != 0: # <<<<<<<<<<<<<< + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + */ + __pyx_t_23 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_i.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":715 + * for j in range(n_items): + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] # <<<<<<<<<<<<<< + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_i_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":714 + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): + * if del_i[j, i] != 0: # <<<<<<<<<<<<<< + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":716 + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] # <<<<<<<<<<<<<< + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: + */ + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_I.data + __pyx_t_24 * __pyx_v_sgrad_I.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_I.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_i_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_i_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":717 + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] # <<<<<<<<<<<<<< + * if I[j, i] < 0: + * I[j, i] = 0 + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_I.data + __pyx_t_25 * __pyx_v_sgrad_I.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_I.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_i_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":718 + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: # <<<<<<<<<<<<<< + * I[j, i] = 0 + * + */ + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_26 = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_18 * __pyx_v_I.strides[0]) ) + __pyx_t_9 * __pyx_v_I.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":719 + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: + * I[j, i] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_aspect_factors): + */ + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":718 + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: # <<<<<<<<<<<<<< + * I[j, i] = 0 + * + */ + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":721 + * I[j, i] = 0 + * + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":722 + * + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + */ + __pyx_t_16 = __pyx_v_n_opinion_factors; + __pyx_t_27 = __pyx_t_16; + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_27; __pyx_t_7+=1) { + __pyx_v_k = __pyx_t_7; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":723 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":724 + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_22, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g3.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_25 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_19 * __pyx_v_G3.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":723 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":725 + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] # <<<<<<<<<<<<<< + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G3.data + __pyx_t_22 * __pyx_v_sgrad_G3.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G3.strides[1]) ) + __pyx_t_20 * __pyx_v_sgrad_G3.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_25, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":726 + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] # <<<<<<<<<<<<<< + * if G3[i, j, k] < 0: + * G3[i, j, k] = 0 + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_21 * __pyx_v_G3.strides[1]) ) + __pyx_t_22 * __pyx_v_G3.strides[2]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G3.data + __pyx_t_23 * __pyx_v_sgrad_G3.strides[0]) ) + __pyx_t_9 * __pyx_v_sgrad_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_sgrad_G3.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_19, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":727 + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: # <<<<<<<<<<<<<< + * G3[i, j, k] = 0 + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_26 = (((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_19 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_25 * __pyx_v_G3.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":728 + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: + * G3[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_aspects + 1, schedule='guided'): + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_25 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_19 * __pyx_v_G3.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":727 + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: # <<<<<<<<<<<<<< + * G3[i, j, k] = 0 + * + */ + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":730 + * G3[i, j, k] = 0 + * + * for i in prange(n_aspects + 1, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: + */ + __pyx_t_3 = (__pyx_v_n_aspects + 1); + if ((1 == 0)) abort(); + { + __pyx_t_12 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_12 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_12; __pyx_t_10++){ + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":731 + * + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":732 + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: # <<<<<<<<<<<<<< + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":733 + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] # <<<<<<<<<<<<<< + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":732 + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: # <<<<<<<<<<<<<< + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":734 + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] # <<<<<<<<<<<<<< + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_A.data + __pyx_t_23 * __pyx_v_sgrad_A.strides[0]) ) + __pyx_t_9 * __pyx_v_sgrad_A.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_a_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_a_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":735 + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] # <<<<<<<<<<<<<< + * if A[i, j] < 0: + * A[i, j] = 0 + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_A.data + __pyx_t_24 * __pyx_v_sgrad_A.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_A.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_a_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":736 + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: # <<<<<<<<<<<<<< + * A[i, j] = 0 + * + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_26 = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":737 + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: + * A[i, j] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_opinions, schedule='guided'): + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":736 + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: # <<<<<<<<<<<<<< + * A[i, j] = 0 + * + */ + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":739 + * A[i, j] = 0 + * + * for i in prange(n_opinions, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: + */ + __pyx_t_12 = __pyx_v_n_opinions; + if ((1 == 0)) abort(); + { + __pyx_t_3 = (__pyx_t_12 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_3 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_3; __pyx_t_10++){ + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":740 + * + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + */ + __pyx_t_13 = __pyx_v_n_opinion_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":741 + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: # <<<<<<<<<<<<<< + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_o.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":742 + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] # <<<<<<<<<<<<<< + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_o_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_o.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":741 + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: # <<<<<<<<<<<<<< + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":743 + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] # <<<<<<<<<<<<<< + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_O.data + __pyx_t_9 * __pyx_v_sgrad_O.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_O.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_o_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_o_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":744 + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] # <<<<<<<<<<<<<< + * if O[i, j] < 0: + * O[i, j] = 0 + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_23 * __pyx_v_O.strides[0]) ) + __pyx_t_9 * __pyx_v_O.strides[1]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_O.data + __pyx_t_25 * __pyx_v_sgrad_O.strides[0]) ) + __pyx_t_18 * __pyx_v_sgrad_O.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_o_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":745 + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: # <<<<<<<<<<<<<< + * O[i, j] = 0 + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_26 = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_24 * __pyx_v_O.strides[0]) ) + __pyx_t_19 * __pyx_v_O.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":746 + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: + * O[i, j] = 0 # <<<<<<<<<<<<<< + * + * return correct, skipped, loss, bpr_loss + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":745 + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: # <<<<<<<<<<<<<< + * O[i, j] = 0 + * + */ + } + } + } + } + } + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":684 + * + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L66; + } + __pyx_L66:; + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":748 + * O[i, j] = 0 + * + * return correct, skipped, loss, bpr_loss # <<<<<<<<<<<<<< + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyInt_From_long(__pyx_v_correct); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_From_long(__pyx_v_skipped); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_28 = PyFloat_FromDouble(__pyx_v_bpr_loss); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_28); + __pyx_t_29 = PyTuple_New(4); if (unlikely(!__pyx_t_29)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_29); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_29, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_29, 1, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_29, 2, __pyx_t_6); + __Pyx_GIVEREF(__pyx_t_28); + PyTuple_SET_ITEM(__pyx_t_29, 3, __pyx_t_28); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_6 = 0; + __pyx_t_28 = 0; + __pyx_r = __pyx_t_29; + __pyx_t_29 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":475 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_mter( # <<<<<<<<<<<<<< + * self, + * RNGVector rng_pos_uia, + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_28); + __Pyx_XDECREF(__pyx_t_29); + { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer); + __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._fit_mter", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + goto __pyx_L2; + __pyx_L0:; + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer); + __pyx_L2:; + __PYX_XDEC_MEMVIEW(&__pyx_v_X, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_oids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_oids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_user_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_item_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_neg_item_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_indptr, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_p_user_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_earlier_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_later_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_aspect_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_pair_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G3, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_I, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_O, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G3, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_U, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_I, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_O, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_0_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_17_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_0_2__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_17_fit_mter = {"__pyx_fuse_0_2_fit_mter", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_0_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_17_fit_mter, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_10_fit_mter}; +static PyObject *__pyx_fuse_0_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_17_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg = 0; + int __pyx_v_n_threads; + __Pyx_memviewslice __pyx_v_X = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_oids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_oids = { 0, 0, { 0 }, { 0 }, { 0 } }; + struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict = 0; + __Pyx_memviewslice __pyx_v_user_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_item_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_neg_item_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_indptr = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_p_user_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_earlier_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_later_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_aspect_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G3 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_I = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_O = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G3 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_U = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_I = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_O = { 0, 0, { 0 }, { 0 }, { 0 } }; + PyArrayObject *__pyx_v_del_g1 = 0; + PyArrayObject *__pyx_v_del_g2 = 0; + PyArrayObject *__pyx_v_del_g3 = 0; + PyArrayObject *__pyx_v_del_u = 0; + PyArrayObject *__pyx_v_del_i = 0; + PyArrayObject *__pyx_v_del_a = 0; + PyArrayObject *__pyx_v_del_o = 0; + PyArrayObject *__pyx_v_del_g1_reg = 0; + PyArrayObject *__pyx_v_del_g2_reg = 0; + PyArrayObject *__pyx_v_del_g3_reg = 0; + PyArrayObject *__pyx_v_del_u_reg = 0; + PyArrayObject *__pyx_v_del_i_reg = 0; + PyArrayObject *__pyx_v_del_a_reg = 0; + PyArrayObject *__pyx_v_del_o_reg = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_fit_mter (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_rng_pos_uia,&__pyx_n_s_rng_pos_uao,&__pyx_n_s_rng_pos_iao,&__pyx_n_s_rng_pos_pair,&__pyx_n_s_rng_pos,&__pyx_n_s_rng_neg,&__pyx_n_s_n_threads,&__pyx_n_s_X,&__pyx_n_s_X_uids,&__pyx_n_s_X_iids,&__pyx_n_s_X_aids,&__pyx_n_s_YU,&__pyx_n_s_YU_uids,&__pyx_n_s_YU_aids,&__pyx_n_s_YU_oids,&__pyx_n_s_YI,&__pyx_n_s_YI_iids,&__pyx_n_s_YI_aids,&__pyx_n_s_YI_oids,&__pyx_n_s_rating_dict,&__pyx_n_s_user_ids,&__pyx_n_s_item_ids,&__pyx_n_s_neg_item_ids,&__pyx_n_s_indptr,&__pyx_n_s_p_user_indices,&__pyx_n_s_earlier_indices,&__pyx_n_s_later_indices,&__pyx_n_s_aspect_indices,&__pyx_n_s_pair_counts,&__pyx_n_s_G1,&__pyx_n_s_G2,&__pyx_n_s_G3,&__pyx_n_s_U,&__pyx_n_s_I,&__pyx_n_s_A,&__pyx_n_s_O,&__pyx_n_s_sgrad_G1,&__pyx_n_s_sgrad_G2,&__pyx_n_s_sgrad_G3,&__pyx_n_s_sgrad_U,&__pyx_n_s_sgrad_I,&__pyx_n_s_sgrad_A,&__pyx_n_s_sgrad_O,&__pyx_n_s_del_g1,&__pyx_n_s_del_g2,&__pyx_n_s_del_g3,&__pyx_n_s_del_u,&__pyx_n_s_del_i,&__pyx_n_s_del_a,&__pyx_n_s_del_o,&__pyx_n_s_del_g1_reg,&__pyx_n_s_del_g2_reg,&__pyx_n_s_del_g3_reg,&__pyx_n_s_del_u_reg,&__pyx_n_s_del_i_reg,&__pyx_n_s_del_a_reg,&__pyx_n_s_del_o_reg,0}; + PyObject* values[58] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 58: values[57] = PyTuple_GET_ITEM(__pyx_args, 57); + CYTHON_FALLTHROUGH; + case 57: values[56] = PyTuple_GET_ITEM(__pyx_args, 56); + CYTHON_FALLTHROUGH; + case 56: values[55] = PyTuple_GET_ITEM(__pyx_args, 55); + CYTHON_FALLTHROUGH; + case 55: values[54] = PyTuple_GET_ITEM(__pyx_args, 54); + CYTHON_FALLTHROUGH; + case 54: values[53] = PyTuple_GET_ITEM(__pyx_args, 53); + CYTHON_FALLTHROUGH; + case 53: values[52] = PyTuple_GET_ITEM(__pyx_args, 52); + CYTHON_FALLTHROUGH; + case 52: values[51] = PyTuple_GET_ITEM(__pyx_args, 51); + CYTHON_FALLTHROUGH; + case 51: values[50] = PyTuple_GET_ITEM(__pyx_args, 50); + CYTHON_FALLTHROUGH; + case 50: values[49] = PyTuple_GET_ITEM(__pyx_args, 49); + CYTHON_FALLTHROUGH; + case 49: values[48] = PyTuple_GET_ITEM(__pyx_args, 48); + CYTHON_FALLTHROUGH; + case 48: values[47] = PyTuple_GET_ITEM(__pyx_args, 47); + CYTHON_FALLTHROUGH; + case 47: values[46] = PyTuple_GET_ITEM(__pyx_args, 46); + CYTHON_FALLTHROUGH; + case 46: values[45] = PyTuple_GET_ITEM(__pyx_args, 45); + CYTHON_FALLTHROUGH; + case 45: values[44] = PyTuple_GET_ITEM(__pyx_args, 44); + CYTHON_FALLTHROUGH; + case 44: values[43] = PyTuple_GET_ITEM(__pyx_args, 43); + CYTHON_FALLTHROUGH; + case 43: values[42] = PyTuple_GET_ITEM(__pyx_args, 42); + CYTHON_FALLTHROUGH; + case 42: values[41] = PyTuple_GET_ITEM(__pyx_args, 41); + CYTHON_FALLTHROUGH; + case 41: values[40] = PyTuple_GET_ITEM(__pyx_args, 40); + CYTHON_FALLTHROUGH; + case 40: values[39] = PyTuple_GET_ITEM(__pyx_args, 39); + CYTHON_FALLTHROUGH; + case 39: values[38] = PyTuple_GET_ITEM(__pyx_args, 38); + CYTHON_FALLTHROUGH; + case 38: values[37] = PyTuple_GET_ITEM(__pyx_args, 37); + CYTHON_FALLTHROUGH; + case 37: values[36] = PyTuple_GET_ITEM(__pyx_args, 36); + CYTHON_FALLTHROUGH; + case 36: values[35] = PyTuple_GET_ITEM(__pyx_args, 35); + CYTHON_FALLTHROUGH; + case 35: values[34] = PyTuple_GET_ITEM(__pyx_args, 34); + CYTHON_FALLTHROUGH; + case 34: values[33] = PyTuple_GET_ITEM(__pyx_args, 33); + CYTHON_FALLTHROUGH; + case 33: values[32] = PyTuple_GET_ITEM(__pyx_args, 32); + CYTHON_FALLTHROUGH; + case 32: values[31] = PyTuple_GET_ITEM(__pyx_args, 31); + CYTHON_FALLTHROUGH; + case 31: values[30] = PyTuple_GET_ITEM(__pyx_args, 30); + CYTHON_FALLTHROUGH; + case 30: values[29] = PyTuple_GET_ITEM(__pyx_args, 29); + CYTHON_FALLTHROUGH; + case 29: values[28] = PyTuple_GET_ITEM(__pyx_args, 28); + CYTHON_FALLTHROUGH; + case 28: values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + CYTHON_FALLTHROUGH; + case 27: values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + CYTHON_FALLTHROUGH; + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_uia)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 1); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_uao)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 2); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_iao)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 3); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_pair)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 4); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 5); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_neg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 6); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 7); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 8); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 9); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 10: + if (likely((values[10] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 10); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 11: + if (likely((values[11] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 11); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 12: + if (likely((values[12] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 12); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 13: + if (likely((values[13] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 13); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 14: + if (likely((values[14] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 14); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 15: + if (likely((values[15] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_oids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 15); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 16: + if (likely((values[16] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 16); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 17: + if (likely((values[17] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 17); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 18: + if (likely((values[18] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 18); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 19: + if (likely((values[19] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_oids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 19); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 20: + if (likely((values[20] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rating_dict)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 20); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 21: + if (likely((values[21] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_user_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 21); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 22: + if (likely((values[22] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_item_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 22); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 23: + if (likely((values[23] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neg_item_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 23); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 24: + if (likely((values[24] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_indptr)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 24); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 25: + if (likely((values[25] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_p_user_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 25); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 26: + if (likely((values[26] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_earlier_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 26); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 27: + if (likely((values[27] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_later_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 27); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 28: + if (likely((values[28] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_aspect_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 28); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 29: + if (likely((values[29] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pair_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 29); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 30: + if (likely((values[30] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 30); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 31: + if (likely((values[31] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 31); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 32: + if (likely((values[32] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 32); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 33: + if (likely((values[33] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 33); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 34: + if (likely((values[34] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_I)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 34); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 35: + if (likely((values[35] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 35); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 36: + if (likely((values[36] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_O)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 36); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 37: + if (likely((values[37] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 37); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 38: + if (likely((values[38] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 38); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 39: + if (likely((values[39] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 39); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 40: + if (likely((values[40] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_U)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 40); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 41: + if (likely((values[41] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_I)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 41); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 42: + if (likely((values[42] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 42); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 43: + if (likely((values[43] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_O)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 43); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 44: + if (likely((values[44] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 44); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 45: + if (likely((values[45] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 45); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 46: + if (likely((values[46] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 46); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 47: + if (likely((values[47] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_u)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 47); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 48: + if (likely((values[48] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_i)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 48); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 49: + if (likely((values[49] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_a)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 49); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 50: + if (likely((values[50] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_o)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 50); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 51: + if (likely((values[51] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g1_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 51); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 52: + if (likely((values[52] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g2_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 52); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 53: + if (likely((values[53] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g3_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 53); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 54: + if (likely((values[54] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_u_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 54); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 55: + if (likely((values[55] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_i_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 55); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 56: + if (likely((values[56] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_a_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 56); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 57: + if (likely((values[57] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_o_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 57); __PYX_ERR(0, 475, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_fit_mter") < 0)) __PYX_ERR(0, 475, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 58) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + values[28] = PyTuple_GET_ITEM(__pyx_args, 28); + values[29] = PyTuple_GET_ITEM(__pyx_args, 29); + values[30] = PyTuple_GET_ITEM(__pyx_args, 30); + values[31] = PyTuple_GET_ITEM(__pyx_args, 31); + values[32] = PyTuple_GET_ITEM(__pyx_args, 32); + values[33] = PyTuple_GET_ITEM(__pyx_args, 33); + values[34] = PyTuple_GET_ITEM(__pyx_args, 34); + values[35] = PyTuple_GET_ITEM(__pyx_args, 35); + values[36] = PyTuple_GET_ITEM(__pyx_args, 36); + values[37] = PyTuple_GET_ITEM(__pyx_args, 37); + values[38] = PyTuple_GET_ITEM(__pyx_args, 38); + values[39] = PyTuple_GET_ITEM(__pyx_args, 39); + values[40] = PyTuple_GET_ITEM(__pyx_args, 40); + values[41] = PyTuple_GET_ITEM(__pyx_args, 41); + values[42] = PyTuple_GET_ITEM(__pyx_args, 42); + values[43] = PyTuple_GET_ITEM(__pyx_args, 43); + values[44] = PyTuple_GET_ITEM(__pyx_args, 44); + values[45] = PyTuple_GET_ITEM(__pyx_args, 45); + values[46] = PyTuple_GET_ITEM(__pyx_args, 46); + values[47] = PyTuple_GET_ITEM(__pyx_args, 47); + values[48] = PyTuple_GET_ITEM(__pyx_args, 48); + values[49] = PyTuple_GET_ITEM(__pyx_args, 49); + values[50] = PyTuple_GET_ITEM(__pyx_args, 50); + values[51] = PyTuple_GET_ITEM(__pyx_args, 51); + values[52] = PyTuple_GET_ITEM(__pyx_args, 52); + values[53] = PyTuple_GET_ITEM(__pyx_args, 53); + values[54] = PyTuple_GET_ITEM(__pyx_args, 54); + values[55] = PyTuple_GET_ITEM(__pyx_args, 55); + values[56] = PyTuple_GET_ITEM(__pyx_args, 56); + values[57] = PyTuple_GET_ITEM(__pyx_args, 57); + } + __pyx_v_self = values[0]; + __pyx_v_rng_pos_uia = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[1]); + __pyx_v_rng_pos_uao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[2]); + __pyx_v_rng_pos_iao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[3]); + __pyx_v_rng_pos_pair = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[4]); + __pyx_v_rng_pos = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[5]); + __pyx_v_rng_neg = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[6]); + __pyx_v_n_threads = __Pyx_PyInt_As_int(values[7]); if (unlikely((__pyx_v_n_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 483, __pyx_L3_error) + __pyx_v_X = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_uids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[10], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_iids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[11], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_YU = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[12], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[13], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_uids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[14], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_aids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_oids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[15], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_oids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YI = __Pyx_PyObject_to_MemoryviewSlice_ds_float(values[16], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[17], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_iids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[18], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_aids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_oids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[19], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_oids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_rating_dict = ((struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *)values[20]); + __pyx_v_user_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[21], PyBUF_WRITABLE); if (unlikely(!__pyx_v_user_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_item_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[22], PyBUF_WRITABLE); if (unlikely(!__pyx_v_item_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_neg_item_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[23], PyBUF_WRITABLE); if (unlikely(!__pyx_v_neg_item_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_indptr = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[24], PyBUF_WRITABLE); if (unlikely(!__pyx_v_indptr.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_p_user_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[25], PyBUF_WRITABLE); if (unlikely(!__pyx_v_p_user_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_earlier_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[26], PyBUF_WRITABLE); if (unlikely(!__pyx_v_earlier_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_later_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[27], PyBUF_WRITABLE); if (unlikely(!__pyx_v_later_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_aspect_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[28], PyBUF_WRITABLE); if (unlikely(!__pyx_v_aspect_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_pair_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[29], PyBUF_WRITABLE); if (unlikely(!__pyx_v_pair_counts.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_G1 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[30], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G1.memview)) __PYX_ERR(0, 490, __pyx_L3_error) + __pyx_v_G2 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[31], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G2.memview)) __PYX_ERR(0, 491, __pyx_L3_error) + __pyx_v_G3 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[32], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G3.memview)) __PYX_ERR(0, 492, __pyx_L3_error) + __pyx_v_U = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[33], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U.memview)) __PYX_ERR(0, 493, __pyx_L3_error) + __pyx_v_I = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[34], PyBUF_WRITABLE); if (unlikely(!__pyx_v_I.memview)) __PYX_ERR(0, 494, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[35], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 495, __pyx_L3_error) + __pyx_v_O = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[36], PyBUF_WRITABLE); if (unlikely(!__pyx_v_O.memview)) __PYX_ERR(0, 496, __pyx_L3_error) + __pyx_v_sgrad_G1 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[37], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G1.memview)) __PYX_ERR(0, 497, __pyx_L3_error) + __pyx_v_sgrad_G2 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[38], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G2.memview)) __PYX_ERR(0, 498, __pyx_L3_error) + __pyx_v_sgrad_G3 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(values[39], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G3.memview)) __PYX_ERR(0, 499, __pyx_L3_error) + __pyx_v_sgrad_U = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[40], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_U.memview)) __PYX_ERR(0, 500, __pyx_L3_error) + __pyx_v_sgrad_I = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[41], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_I.memview)) __PYX_ERR(0, 501, __pyx_L3_error) + __pyx_v_sgrad_A = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[42], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_A.memview)) __PYX_ERR(0, 502, __pyx_L3_error) + __pyx_v_sgrad_O = __Pyx_PyObject_to_MemoryviewSlice_dsds_float(values[43], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_O.memview)) __PYX_ERR(0, 503, __pyx_L3_error) + __pyx_v_del_g1 = ((PyArrayObject *)values[44]); + __pyx_v_del_g2 = ((PyArrayObject *)values[45]); + __pyx_v_del_g3 = ((PyArrayObject *)values[46]); + __pyx_v_del_u = ((PyArrayObject *)values[47]); + __pyx_v_del_i = ((PyArrayObject *)values[48]); + __pyx_v_del_a = ((PyArrayObject *)values[49]); + __pyx_v_del_o = ((PyArrayObject *)values[50]); + __pyx_v_del_g1_reg = ((PyArrayObject *)values[51]); + __pyx_v_del_g2_reg = ((PyArrayObject *)values[52]); + __pyx_v_del_g3_reg = ((PyArrayObject *)values[53]); + __pyx_v_del_u_reg = ((PyArrayObject *)values[54]); + __pyx_v_del_i_reg = ((PyArrayObject *)values[55]); + __pyx_v_del_a_reg = ((PyArrayObject *)values[56]); + __pyx_v_del_o_reg = ((PyArrayObject *)values[57]); + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 475, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._fit_mter", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_uia), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_uia", 0))) __PYX_ERR(0, 477, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_uao), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_uao", 0))) __PYX_ERR(0, 478, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_iao), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_iao", 0))) __PYX_ERR(0, 479, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_pair), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_pair", 0))) __PYX_ERR(0, 480, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos", 0))) __PYX_ERR(0, 481, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_neg), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_neg", 0))) __PYX_ERR(0, 482, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rating_dict), __pyx_ptype_6cornac_5utils_9fast_dict_IntFloatDict, 1, "rating_dict", 0))) __PYX_ERR(0, 487, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g1), __pyx_ptype_5numpy_ndarray, 1, "del_g1", 0))) __PYX_ERR(0, 504, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g2), __pyx_ptype_5numpy_ndarray, 1, "del_g2", 0))) __PYX_ERR(0, 505, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g3), __pyx_ptype_5numpy_ndarray, 1, "del_g3", 0))) __PYX_ERR(0, 506, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_u), __pyx_ptype_5numpy_ndarray, 1, "del_u", 0))) __PYX_ERR(0, 507, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_i), __pyx_ptype_5numpy_ndarray, 1, "del_i", 0))) __PYX_ERR(0, 508, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_a), __pyx_ptype_5numpy_ndarray, 1, "del_a", 0))) __PYX_ERR(0, 509, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_o), __pyx_ptype_5numpy_ndarray, 1, "del_o", 0))) __PYX_ERR(0, 510, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g1_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g1_reg", 0))) __PYX_ERR(0, 511, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g2_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g2_reg", 0))) __PYX_ERR(0, 512, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g3_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g3_reg", 0))) __PYX_ERR(0, 513, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_u_reg), __pyx_ptype_5numpy_ndarray, 1, "del_u_reg", 0))) __PYX_ERR(0, 514, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_i_reg), __pyx_ptype_5numpy_ndarray, 1, "del_i_reg", 0))) __PYX_ERR(0, 515, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_a_reg), __pyx_ptype_5numpy_ndarray, 1, "del_a_reg", 0))) __PYX_ERR(0, 516, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_o_reg), __pyx_ptype_5numpy_ndarray, 1, "del_o_reg", 0))) __PYX_ERR(0, 517, __pyx_L1_error) + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_16_fit_mter(__pyx_self, __pyx_v_self, __pyx_v_rng_pos_uia, __pyx_v_rng_pos_uao, __pyx_v_rng_pos_iao, __pyx_v_rng_pos_pair, __pyx_v_rng_pos, __pyx_v_rng_neg, __pyx_v_n_threads, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_iids, __pyx_v_X_aids, __pyx_v_YU, __pyx_v_YU_uids, __pyx_v_YU_aids, __pyx_v_YU_oids, __pyx_v_YI, __pyx_v_YI_iids, __pyx_v_YI_aids, __pyx_v_YI_oids, __pyx_v_rating_dict, __pyx_v_user_ids, __pyx_v_item_ids, __pyx_v_neg_item_ids, __pyx_v_indptr, __pyx_v_p_user_indices, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_v_G1, __pyx_v_G2, __pyx_v_G3, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_O, __pyx_v_sgrad_G1, __pyx_v_sgrad_G2, __pyx_v_sgrad_G3, __pyx_v_sgrad_U, __pyx_v_sgrad_I, __pyx_v_sgrad_A, __pyx_v_sgrad_O, __pyx_v_del_g1, __pyx_v_del_g2, __pyx_v_del_g3, __pyx_v_del_u, __pyx_v_del_i, __pyx_v_del_a, __pyx_v_del_o, __pyx_v_del_g1_reg, __pyx_v_del_g2_reg, __pyx_v_del_g3_reg, __pyx_v_del_u_reg, __pyx_v_del_i_reg, __pyx_v_del_a_reg, __pyx_v_del_o_reg); + + /* function exit code */ + goto __pyx_L0; + __pyx_L1_error:; + __pyx_r = NULL; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_16_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg, int __pyx_v_n_threads, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_iids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_YU, __Pyx_memviewslice __pyx_v_YU_uids, __Pyx_memviewslice __pyx_v_YU_aids, __Pyx_memviewslice __pyx_v_YU_oids, __Pyx_memviewslice __pyx_v_YI, __Pyx_memviewslice __pyx_v_YI_iids, __Pyx_memviewslice __pyx_v_YI_aids, __Pyx_memviewslice __pyx_v_YI_oids, struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict, __Pyx_memviewslice __pyx_v_user_ids, __Pyx_memviewslice __pyx_v_item_ids, __Pyx_memviewslice __pyx_v_neg_item_ids, __Pyx_memviewslice __pyx_v_indptr, __Pyx_memviewslice __pyx_v_p_user_indices, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_G1, __Pyx_memviewslice __pyx_v_G2, __Pyx_memviewslice __pyx_v_G3, __Pyx_memviewslice __pyx_v_U, __Pyx_memviewslice __pyx_v_I, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_O, __Pyx_memviewslice __pyx_v_sgrad_G1, __Pyx_memviewslice __pyx_v_sgrad_G2, __Pyx_memviewslice __pyx_v_sgrad_G3, __Pyx_memviewslice __pyx_v_sgrad_U, __Pyx_memviewslice __pyx_v_sgrad_I, __Pyx_memviewslice __pyx_v_sgrad_A, __Pyx_memviewslice __pyx_v_sgrad_O, PyArrayObject *__pyx_v_del_g1, PyArrayObject *__pyx_v_del_g2, PyArrayObject *__pyx_v_del_g3, PyArrayObject *__pyx_v_del_u, PyArrayObject *__pyx_v_del_i, PyArrayObject *__pyx_v_del_a, PyArrayObject *__pyx_v_del_o, PyArrayObject *__pyx_v_del_g1_reg, PyArrayObject *__pyx_v_del_g2_reg, PyArrayObject *__pyx_v_del_g3_reg, PyArrayObject *__pyx_v_del_u_reg, PyArrayObject *__pyx_v_del_i_reg, PyArrayObject *__pyx_v_del_a_reg, PyArrayObject *__pyx_v_del_o_reg) { + long __pyx_v_s; + long __pyx_v_correct; + long __pyx_v_skipped; + long __pyx_v_aspect_correct; + long __pyx_v_n_users; + long __pyx_v_n_items; + long __pyx_v_n_aspects; + CYTHON_UNUSED long __pyx_v_n_opinions; + long __pyx_v_n_user_factors; + long __pyx_v_n_item_factors; + long __pyx_v_n_aspect_factors; + long __pyx_v_n_opinion_factors; + CYTHON_UNUSED int __pyx_v_num_samples; + CYTHON_UNUSED int __pyx_v_num_bpr_samples; + CYTHON_UNUSED int __pyx_v_num_pair_samples; + CYTHON_UNUSED long __pyx_v__; + long __pyx_v_i; + long __pyx_v_j; + long __pyx_v_k; + long __pyx_v_idx; + long __pyx_v_jdx; + long __pyx_v_u_idx; + long __pyx_v_i_idx; + long __pyx_v_a_idx; + long __pyx_v_o_idx; + long __pyx_v_j_idx; + long __pyx_v_thread_id; + float __pyx_v_z; + float __pyx_v_score; + float __pyx_v_i_score; + float __pyx_v_j_score; + float __pyx_v_pred; + float __pyx_v_i_ij; + float __pyx_v_a_ji; + float __pyx_v_loss; + float __pyx_v_bpr_loss; + float __pyx_v_aspect_bpr_loss; + float __pyx_v_del_sqerror; + float __pyx_v_del_bpr; + float __pyx_v_del_aspect_bpr; + float __pyx_v_eps; + float __pyx_v_lr; + float __pyx_v_ld_reg; + float __pyx_v_ld_bpr; + float __pyx_v_lambda_d; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_a; + __Pyx_Buffer __pyx_pybuffer_del_a; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_a_reg; + __Pyx_Buffer __pyx_pybuffer_del_a_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g1; + __Pyx_Buffer __pyx_pybuffer_del_g1; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g1_reg; + __Pyx_Buffer __pyx_pybuffer_del_g1_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g2; + __Pyx_Buffer __pyx_pybuffer_del_g2; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g2_reg; + __Pyx_Buffer __pyx_pybuffer_del_g2_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g3; + __Pyx_Buffer __pyx_pybuffer_del_g3; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g3_reg; + __Pyx_Buffer __pyx_pybuffer_del_g3_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_i; + __Pyx_Buffer __pyx_pybuffer_del_i; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_i_reg; + __Pyx_Buffer __pyx_pybuffer_del_i_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_o; + __Pyx_Buffer __pyx_pybuffer_del_o; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_o_reg; + __Pyx_Buffer __pyx_pybuffer_del_o_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_u; + __Pyx_Buffer __pyx_pybuffer_del_u; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_u_reg; + __Pyx_Buffer __pyx_pybuffer_del_u_reg; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + long __pyx_t_3; + int __pyx_t_4; + float __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + long __pyx_t_7; + Py_ssize_t __pyx_t_8; + long __pyx_t_9; + long __pyx_t_10; + long __pyx_t_11; + long __pyx_t_12; + long __pyx_t_13; + long __pyx_t_14; + long __pyx_t_15; + long __pyx_t_16; + long __pyx_t_17; + Py_ssize_t __pyx_t_18; + Py_ssize_t __pyx_t_19; + Py_ssize_t __pyx_t_20; + Py_ssize_t __pyx_t_21; + Py_ssize_t __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + Py_ssize_t __pyx_t_25; + int __pyx_t_26; + PyObject *__pyx_t_27 = NULL; + PyObject *__pyx_t_28 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_0_2_fit_mter", 0); + __pyx_pybuffer_del_g1.pybuffer.buf = NULL; + __pyx_pybuffer_del_g1.refcount = 0; + __pyx_pybuffernd_del_g1.data = NULL; + __pyx_pybuffernd_del_g1.rcbuffer = &__pyx_pybuffer_del_g1; + __pyx_pybuffer_del_g2.pybuffer.buf = NULL; + __pyx_pybuffer_del_g2.refcount = 0; + __pyx_pybuffernd_del_g2.data = NULL; + __pyx_pybuffernd_del_g2.rcbuffer = &__pyx_pybuffer_del_g2; + __pyx_pybuffer_del_g3.pybuffer.buf = NULL; + __pyx_pybuffer_del_g3.refcount = 0; + __pyx_pybuffernd_del_g3.data = NULL; + __pyx_pybuffernd_del_g3.rcbuffer = &__pyx_pybuffer_del_g3; + __pyx_pybuffer_del_u.pybuffer.buf = NULL; + __pyx_pybuffer_del_u.refcount = 0; + __pyx_pybuffernd_del_u.data = NULL; + __pyx_pybuffernd_del_u.rcbuffer = &__pyx_pybuffer_del_u; + __pyx_pybuffer_del_i.pybuffer.buf = NULL; + __pyx_pybuffer_del_i.refcount = 0; + __pyx_pybuffernd_del_i.data = NULL; + __pyx_pybuffernd_del_i.rcbuffer = &__pyx_pybuffer_del_i; + __pyx_pybuffer_del_a.pybuffer.buf = NULL; + __pyx_pybuffer_del_a.refcount = 0; + __pyx_pybuffernd_del_a.data = NULL; + __pyx_pybuffernd_del_a.rcbuffer = &__pyx_pybuffer_del_a; + __pyx_pybuffer_del_o.pybuffer.buf = NULL; + __pyx_pybuffer_del_o.refcount = 0; + __pyx_pybuffernd_del_o.data = NULL; + __pyx_pybuffernd_del_o.rcbuffer = &__pyx_pybuffer_del_o; + __pyx_pybuffer_del_g1_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g1_reg.refcount = 0; + __pyx_pybuffernd_del_g1_reg.data = NULL; + __pyx_pybuffernd_del_g1_reg.rcbuffer = &__pyx_pybuffer_del_g1_reg; + __pyx_pybuffer_del_g2_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g2_reg.refcount = 0; + __pyx_pybuffernd_del_g2_reg.data = NULL; + __pyx_pybuffernd_del_g2_reg.rcbuffer = &__pyx_pybuffer_del_g2_reg; + __pyx_pybuffer_del_g3_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g3_reg.refcount = 0; + __pyx_pybuffernd_del_g3_reg.data = NULL; + __pyx_pybuffernd_del_g3_reg.rcbuffer = &__pyx_pybuffer_del_g3_reg; + __pyx_pybuffer_del_u_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_u_reg.refcount = 0; + __pyx_pybuffernd_del_u_reg.data = NULL; + __pyx_pybuffernd_del_u_reg.rcbuffer = &__pyx_pybuffer_del_u_reg; + __pyx_pybuffer_del_i_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_i_reg.refcount = 0; + __pyx_pybuffernd_del_i_reg.data = NULL; + __pyx_pybuffernd_del_i_reg.rcbuffer = &__pyx_pybuffer_del_i_reg; + __pyx_pybuffer_del_a_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_a_reg.refcount = 0; + __pyx_pybuffernd_del_a_reg.data = NULL; + __pyx_pybuffernd_del_a_reg.rcbuffer = &__pyx_pybuffer_del_a_reg; + __pyx_pybuffer_del_o_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_o_reg.refcount = 0; + __pyx_pybuffernd_del_o_reg.data = NULL; + __pyx_pybuffernd_del_o_reg.rcbuffer = &__pyx_pybuffer_del_o_reg; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g1.diminfo[0].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g1.diminfo[0].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g1.diminfo[1].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g1.diminfo[1].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g1.diminfo[2].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g1.diminfo[2].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g2, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g2.diminfo[0].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g2.diminfo[0].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g2.diminfo[1].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g2.diminfo[1].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g2.diminfo[2].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g2.diminfo[2].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g3, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g3.diminfo[0].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g3.diminfo[0].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g3.diminfo[1].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g3.diminfo[1].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g3.diminfo[2].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g3.diminfo[2].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_u, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_u.diminfo[0].strides = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_u.diminfo[0].shape = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_u.diminfo[1].strides = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_u.diminfo[1].shape = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_i, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_i.diminfo[0].strides = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_i.diminfo[0].shape = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_i.diminfo[1].strides = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_i.diminfo[1].shape = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_a, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_a.diminfo[0].strides = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_a.diminfo[0].shape = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_a.diminfo[1].strides = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_a.diminfo[1].shape = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_o, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_o.diminfo[0].strides = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_o.diminfo[0].shape = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_o.diminfo[1].strides = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_o.diminfo[1].shape = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g1_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g1_reg.diminfo[0].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g1_reg.diminfo[0].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g1_reg.diminfo[1].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g1_reg.diminfo[1].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g1_reg.diminfo[2].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g1_reg.diminfo[2].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g2_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g2_reg.diminfo[0].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g2_reg.diminfo[0].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g2_reg.diminfo[1].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g2_reg.diminfo[1].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g2_reg.diminfo[2].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g2_reg.diminfo[2].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g3_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g3_reg.diminfo[0].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g3_reg.diminfo[0].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g3_reg.diminfo[1].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g3_reg.diminfo[1].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g3_reg.diminfo[2].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g3_reg.diminfo[2].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_u_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_u_reg.diminfo[0].strides = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_u_reg.diminfo[0].shape = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_u_reg.diminfo[1].strides = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_u_reg.diminfo[1].shape = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_i_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_i_reg.diminfo[0].strides = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_i_reg.diminfo[0].shape = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_i_reg.diminfo[1].strides = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_i_reg.diminfo[1].shape = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_a_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_a_reg.diminfo[0].strides = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_a_reg.diminfo[0].shape = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_a_reg.diminfo[1].strides = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_a_reg.diminfo[1].shape = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_o_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_o_reg.diminfo[0].strides = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_o_reg.diminfo[0].shape = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_o_reg.diminfo[1].strides = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_o_reg.diminfo[1].shape = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.shape[1]; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":521 + * """ + * cdef: + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 # <<<<<<<<<<<<<< + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items + */ + __pyx_v_correct = 0; + __pyx_v_skipped = 0; + __pyx_v_aspect_correct = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":522 + * cdef: + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + * long n_users = self.train_set.num_users # <<<<<<<<<<<<<< + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_users); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_2); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_n_users = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":523 + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items # <<<<<<<<<<<<<< + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_items); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_items = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":524 + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects # <<<<<<<<<<<<<< + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_aspects = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":525 + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions # <<<<<<<<<<<<<< + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_opinions); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_opinions = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":526 + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors # <<<<<<<<<<<<<< + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_user_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_user_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":527 + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors # <<<<<<<<<<<<<< + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_item_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_item_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":528 + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors # <<<<<<<<<<<<<< + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_aspect_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_aspect_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":529 + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors # <<<<<<<<<<<<<< + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_opinion_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_opinion_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":530 + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples # <<<<<<<<<<<<<< + * int num_bpr_samples = self.n_bpr_samples + * int num_pair_samples = self.n_pair_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_element_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 530, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 530, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":531 + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples # <<<<<<<<<<<<<< + * int num_pair_samples = self.n_pair_samples + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_bpr_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 531, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 531, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_bpr_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":532 + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples + * int num_pair_samples = self.n_pair_samples # <<<<<<<<<<<<<< + * + * integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_pair_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_pair_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":536 + * integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + * floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + * floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr # <<<<<<<<<<<<<< + * floating eps = 1e-9 + * + */ + __pyx_v_loss = 0.; + __pyx_v_bpr_loss = 0.; + __pyx_v_aspect_bpr_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":537 + * floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + * floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr + * floating eps = 1e-9 # <<<<<<<<<<<<<< + * + * floating lr = self.lr + */ + __pyx_v_eps = 1e-9; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":539 + * floating eps = 1e-9 + * + * floating lr = self.lr # <<<<<<<<<<<<<< + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_lr = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":540 + * + * floating lr = self.lr + * floating ld_reg = self.lambda_reg # <<<<<<<<<<<<<< + * floating ld_bpr = self.lambda_bpr + * floating lambda_d = self.lambda_d + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_reg); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_ld_reg = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":541 + * floating lr = self.lr + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr # <<<<<<<<<<<<<< + * floating lambda_d = self.lambda_d + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_bpr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 541, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 541, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_ld_bpr = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":542 + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr + * floating lambda_d = self.lambda_d # <<<<<<<<<<<<<< + * + * del_g1.fill(0) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 542, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 542, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_lambda_d = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":544 + * floating lambda_d = self.lambda_d + * + * del_g1.fill(0) # <<<<<<<<<<<<<< + * del_g2.fill(0) + * del_g3.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g1), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 544, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 544, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":545 + * + * del_g1.fill(0) + * del_g2.fill(0) # <<<<<<<<<<<<<< + * del_g3.fill(0) + * del_u.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g2), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":546 + * del_g1.fill(0) + * del_g2.fill(0) + * del_g3.fill(0) # <<<<<<<<<<<<<< + * del_u.fill(0) + * del_i.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g3), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":547 + * del_g2.fill(0) + * del_g3.fill(0) + * del_u.fill(0) # <<<<<<<<<<<<<< + * del_i.fill(0) + * del_a.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_u), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":548 + * del_g3.fill(0) + * del_u.fill(0) + * del_i.fill(0) # <<<<<<<<<<<<<< + * del_a.fill(0) + * del_o.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_i), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 548, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 548, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":549 + * del_u.fill(0) + * del_i.fill(0) + * del_a.fill(0) # <<<<<<<<<<<<<< + * del_o.fill(0) + * del_g1_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_a), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":550 + * del_i.fill(0) + * del_a.fill(0) + * del_o.fill(0) # <<<<<<<<<<<<<< + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_o), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":551 + * del_a.fill(0) + * del_o.fill(0) + * del_g1_reg.fill(0) # <<<<<<<<<<<<<< + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g1_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":552 + * del_o.fill(0) + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) # <<<<<<<<<<<<<< + * del_g3_reg.fill(0) + * del_u_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g2_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":553 + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) # <<<<<<<<<<<<<< + * del_u_reg.fill(0) + * del_i_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g3_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":554 + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) + * del_u_reg.fill(0) # <<<<<<<<<<<<<< + * del_i_reg.fill(0) + * del_a_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_u_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":555 + * del_g3_reg.fill(0) + * del_u_reg.fill(0) + * del_i_reg.fill(0) # <<<<<<<<<<<<<< + * del_a_reg.fill(0) + * del_o_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_i_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 555, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 555, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":556 + * del_u_reg.fill(0) + * del_i_reg.fill(0) + * del_a_reg.fill(0) # <<<<<<<<<<<<<< + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_a_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":557 + * del_i_reg.fill(0) + * del_a_reg.fill(0) + * del_o_reg.fill(0) # <<<<<<<<<<<<<< + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_o_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":558 + * del_a_reg.fill(0) + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel private(__pyx_v_thread_id) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_bpr_loss) reduction(+:__pyx_v_correct) reduction(+:__pyx_v_skipped) reduction(+:__pyx_v_aspect_bpr_loss) reduction(+:__pyx_v_aspect_correct) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_3, __pyx_t_4, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) + #endif /* _OPENMP */ + { + /* Initialize private variables to invalid values */ + __pyx_v_thread_id = ((long)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":559 + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() # <<<<<<<<<<<<<< + * for _ in prange(num_samples, schedule='guided'): + * # get user item aspect element + */ + __pyx_v_thread_id = recom_bpr::get_thread_num(); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":560 + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): # <<<<<<<<<<<<<< + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) + */ + __pyx_t_4 = __pyx_v_num_samples; + if ((1 == 0)) abort(); + { + __pyx_t_7 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_7 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_a_idx) lastprivate(__pyx_v_del_sqerror) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_o_idx) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_score) lastprivate(__pyx_v_u_idx) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_7; __pyx_t_3++){ + { + __pyx_v__ = (long)(0 + 1 * __pyx_t_3); + /* Initialize private variables to invalid values */ + __pyx_v_a_idx = ((long)0xbad0bad0); + __pyx_v_del_sqerror = ((float)__PYX_NAN()); + __pyx_v_i = ((long)0xbad0bad0); + __pyx_v_i_idx = ((long)0xbad0bad0); + __pyx_v_idx = ((long)0xbad0bad0); + __pyx_v_j = ((long)0xbad0bad0); + __pyx_v_k = ((long)0xbad0bad0); + __pyx_v_o_idx = ((long)0xbad0bad0); + __pyx_v_pred = ((float)__PYX_NAN()); + __pyx_v_score = ((float)__PYX_NAN()); + __pyx_v_u_idx = ((long)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":562 + * for _ in prange(num_samples, schedule='guided'): + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_uia->__pyx_vtab)->generate(__pyx_v_rng_pos_uia, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":563 + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) + * u_idx = X_uids[idx] # <<<<<<<<<<<<<< + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] + */ + __pyx_t_8 = __pyx_v_idx; + __pyx_v_u_idx = (*((long *) ( /* dim=0 */ (__pyx_v_X_uids.data + __pyx_t_8 * __pyx_v_X_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":564 + * idx = rng_pos_uia.generate(thread_id) + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] # <<<<<<<<<<<<<< + * a_idx = X_aids[idx] + * score = X[idx] + */ + __pyx_t_8 = __pyx_v_idx; + __pyx_v_i_idx = (*((long *) ( /* dim=0 */ (__pyx_v_X_iids.data + __pyx_t_8 * __pyx_v_X_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":565 + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] # <<<<<<<<<<<<<< + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + */ + __pyx_t_8 = __pyx_v_idx; + __pyx_v_a_idx = (*((long *) ( /* dim=0 */ (__pyx_v_X_aids.data + __pyx_t_8 * __pyx_v_X_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":566 + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] + * score = X[idx] # <<<<<<<<<<<<<< + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_8 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_X.data + __pyx_t_8 * __pyx_v_X.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":567 + * a_idx = X_aids[idx] + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_a_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":568 + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":570 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * for i in range(n_user_factors): + * for j in range(n_item_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":571 + * + * del_sqerror = 2 * (pred - score) + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + */ + __pyx_t_9 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_9; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":572 + * del_sqerror = 2 * (pred - score) + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":573 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":574 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_8 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_i_idx; + __pyx_t_20 = __pyx_v_j; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_k; + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_8 * __pyx_v_U.strides[0]) ) + __pyx_t_18 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_20 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_21 * __pyx_v_A.strides[0]) ) + __pyx_t_22 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":575 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + */ + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_i_idx; + __pyx_t_18 = __pyx_v_j; + __pyx_t_8 = __pyx_v_a_idx; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_22 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":576 + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + * + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_k; + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_24 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_25 * __pyx_v_G1.strides[0]) ) + __pyx_t_8 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_19 * __pyx_v_U.strides[0]) ) + __pyx_t_20 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_21 * __pyx_v_A.strides[0]) ) + __pyx_t_22 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":577 + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] # <<<<<<<<<<<<<< + * + * # get user aspect opinion element + */ + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_8 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_j; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_22 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_19 * __pyx_v_U.strides[0]) ) + __pyx_t_18 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_8 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))); + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":580 + * + * # get user aspect opinion element + * idx = rng_pos_uao.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_uao->__pyx_vtab)->generate(__pyx_v_rng_pos_uao, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":581 + * # get user aspect opinion element + * idx = rng_pos_uao.generate(thread_id) + * u_idx = YU_uids[idx] # <<<<<<<<<<<<<< + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_u_idx = (*((long *) ( /* dim=0 */ (__pyx_v_YU_uids.data + __pyx_t_25 * __pyx_v_YU_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":582 + * idx = rng_pos_uao.generate(thread_id) + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] # <<<<<<<<<<<<<< + * o_idx = YU_oids[idx] + * score = YU[idx] + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_a_idx = (*((long *) ( /* dim=0 */ (__pyx_v_YU_aids.data + __pyx_t_25 * __pyx_v_YU_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":583 + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] # <<<<<<<<<<<<<< + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_o_idx = (*((long *) ( /* dim=0 */ (__pyx_v_YU_oids.data + __pyx_t_25 * __pyx_v_YU_oids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":584 + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] + * score = YU[idx] # <<<<<<<<<<<<<< + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_YU.data + __pyx_t_25 * __pyx_v_YU.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":585 + * o_idx = YU_oids[idx] + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G2, __pyx_v_n_user_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_U, __pyx_v_A, __pyx_v_O, __pyx_v_u_idx, __pyx_v_a_idx, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":586 + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":588 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * + * for i in range(n_user_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":590 + * del_sqerror = 2 * (pred - score) + * + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + */ + __pyx_t_9 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_9; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":591 + * + * for i in range(n_user_factors): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_12 = __pyx_v_n_aspect_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":592 + * for i in range(n_user_factors): + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_15 = __pyx_v_n_opinion_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":593 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + */ + __pyx_t_25 = __pyx_v_u_idx; + __pyx_t_8 = __pyx_v_i; + __pyx_t_18 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_j; + __pyx_t_20 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_8 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_20 * __pyx_v_O.strides[0]) ) + __pyx_t_21 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":594 + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + */ + __pyx_t_21 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_18 = __pyx_v_a_idx; + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_o_idx; + __pyx_t_24 = __pyx_v_k; + __pyx_t_23 = __pyx_v_u_idx; + __pyx_t_22 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_u.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_21 * __pyx_v_G2.strides[0]) ) + __pyx_t_20 * __pyx_v_G2.strides[1]) ) + __pyx_t_19 * __pyx_v_G2.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_8 * __pyx_v_A.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_25 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":595 + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_k; + __pyx_t_18 = __pyx_v_u_idx; + __pyx_t_19 = __pyx_v_i; + __pyx_t_20 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + __pyx_t_22 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_24 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_8 * __pyx_v_G2.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_19 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_20 * __pyx_v_O.strides[0]) ) + __pyx_t_21 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":596 + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] # <<<<<<<<<<<<<< + * + * # get item aspect opinion element + */ + __pyx_t_21 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_18 = __pyx_v_u_idx; + __pyx_t_8 = __pyx_v_i; + __pyx_t_25 = __pyx_v_a_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_o_idx; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_o.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_21 * __pyx_v_G2.strides[0]) ) + __pyx_t_20 * __pyx_v_G2.strides[1]) ) + __pyx_t_19 * __pyx_v_G2.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_8 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_24 * __pyx_v_A.strides[1]) )))); + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":599 + * + * # get item aspect opinion element + * idx = rng_pos_iao.generate(thread_id) # <<<<<<<<<<<<<< + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_iao->__pyx_vtab)->generate(__pyx_v_rng_pos_iao, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":600 + * # get item aspect opinion element + * idx = rng_pos_iao.generate(thread_id) + * i_idx = YI_iids[idx] # <<<<<<<<<<<<<< + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i_idx = (*((long *) ( /* dim=0 */ (__pyx_v_YI_iids.data + __pyx_t_24 * __pyx_v_YI_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":601 + * idx = rng_pos_iao.generate(thread_id) + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] # <<<<<<<<<<<<<< + * o_idx = YI_oids[idx] + * score = YI[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_a_idx = (*((long *) ( /* dim=0 */ (__pyx_v_YI_aids.data + __pyx_t_24 * __pyx_v_YI_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":602 + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] # <<<<<<<<<<<<<< + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_o_idx = (*((long *) ( /* dim=0 */ (__pyx_v_YI_oids.data + __pyx_t_24 * __pyx_v_YI_oids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":603 + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] + * score = YI[idx] # <<<<<<<<<<<<<< + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_score = (*((float *) ( /* dim=0 */ (__pyx_v_YI.data + __pyx_t_24 * __pyx_v_YI.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":604 + * o_idx = YI_oids[idx] + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G3, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_I, __pyx_v_A, __pyx_v_O, __pyx_v_i_idx, __pyx_v_a_idx, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":605 + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":607 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":608 + * + * del_sqerror = 2 * (pred - score) + * for i in range(n_item_factors): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + */ + __pyx_t_9 = __pyx_v_n_item_factors; + __pyx_t_10 = __pyx_t_9; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":609 + * del_sqerror = 2 * (pred - score) + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_12 = __pyx_v_n_aspect_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":610 + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_15 = __pyx_v_n_opinion_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":611 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + */ + __pyx_t_24 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_8 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_o_idx; + __pyx_t_20 = __pyx_v_k; + __pyx_t_21 = __pyx_v_i; + __pyx_t_22 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_24 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_20 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":612 + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_8 = __pyx_v_a_idx; + __pyx_t_25 = __pyx_v_j; + __pyx_t_24 = __pyx_v_o_idx; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i_idx; + __pyx_t_21 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_19 * __pyx_v_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_G3.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_24 * __pyx_v_O.strides[0]) ) + __pyx_t_23 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":613 + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + * + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_8 = __pyx_v_i_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_o_idx; + __pyx_t_20 = __pyx_v_k; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_23 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_25 * __pyx_v_G3.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_8 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_20 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":614 + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] # <<<<<<<<<<<<<< + * + * for _ in prange(num_bpr_samples, schedule='guided'): + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_8 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_j; + __pyx_t_22 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_o.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_19 * __pyx_v_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_G3.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_8 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":616 + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + * + * for _ in prange(num_bpr_samples, schedule='guided'): # <<<<<<<<<<<<<< + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] + */ + __pyx_t_4 = __pyx_v_num_bpr_samples; + if ((1 == 0)) abort(); + { + __pyx_t_3 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_3 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_del_bpr) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_i_ij) lastprivate(__pyx_v_i_score) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_j_idx) lastprivate(__pyx_v_j_score) lastprivate(__pyx_v_jdx) lastprivate(__pyx_v_k) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_s) lastprivate(__pyx_v_u_idx) lastprivate(__pyx_v_z) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_3; __pyx_t_7++){ + { + __pyx_v__ = (long)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_del_bpr = ((float)__PYX_NAN()); + __pyx_v_i = ((long)0xbad0bad0); + __pyx_v_i_idx = ((long)0xbad0bad0); + __pyx_v_i_ij = ((float)__PYX_NAN()); + __pyx_v_i_score = ((float)__PYX_NAN()); + __pyx_v_idx = ((long)0xbad0bad0); + __pyx_v_j = ((long)0xbad0bad0); + __pyx_v_j_idx = ((long)0xbad0bad0); + __pyx_v_j_score = ((float)__PYX_NAN()); + __pyx_v_jdx = ((long)0xbad0bad0); + __pyx_v_k = ((long)0xbad0bad0); + __pyx_v_pred = ((float)__PYX_NAN()); + __pyx_v_s = ((long)0xbad0bad0); + __pyx_v_u_idx = ((long)0xbad0bad0); + __pyx_v_z = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":617 + * + * for _ in prange(num_bpr_samples, schedule='guided'): + * idx = rng_pos.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos->__pyx_vtab)->generate(__pyx_v_rng_pos, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":618 + * for _ in prange(num_bpr_samples, schedule='guided'): + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] # <<<<<<<<<<<<<< + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_u_idx = (*((long *) ( /* dim=0 */ (__pyx_v_user_ids.data + __pyx_t_23 * __pyx_v_user_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":619 + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] # <<<<<<<<<<<<<< + * jdx = rng_neg.generate(thread_id) + * j_idx = neg_item_ids[jdx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_i_idx = (*((long *) ( /* dim=0 */ (__pyx_v_item_ids.data + __pyx_t_23 * __pyx_v_item_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":620 + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) # <<<<<<<<<<<<<< + * j_idx = neg_item_ids[jdx] + * + */ + __pyx_v_jdx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_neg->__pyx_vtab)->generate(__pyx_v_rng_neg, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":621 + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) + * j_idx = neg_item_ids[jdx] # <<<<<<<<<<<<<< + * + * s = 1 + */ + __pyx_t_23 = __pyx_v_jdx; + __pyx_v_j_idx = (*((long *) ( /* dim=0 */ (__pyx_v_neg_item_ids.data + __pyx_t_23 * __pyx_v_neg_item_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":623 + * j_idx = neg_item_ids[jdx] + * + * s = 1 # <<<<<<<<<<<<<< + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + */ + __pyx_v_s = 1; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":625 + * s = 1 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): # <<<<<<<<<<<<<< + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + */ + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_26 = (__pyx_fuse_2__pyx_f_6cornac_6models_3bpr_9recom_bpr_has_non_zero(__pyx_v_indptr, __pyx_v_item_ids, (*((long *) ( /* dim=0 */ (__pyx_v_user_ids.data + __pyx_t_23 * __pyx_v_user_ids.strides[0]) ))), __pyx_v_j_idx) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":626 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] # <<<<<<<<<<<<<< + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: + */ + __pyx_v_i_score = (__pyx_v_rating_dict->my_map[__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_v_u_idx, __pyx_v_i_idx)]); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":627 + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] # <<<<<<<<<<<<<< + * if i_score == j_score: + * skipped += 1 + */ + __pyx_v_j_score = (__pyx_v_rating_dict->my_map[__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_v_u_idx, __pyx_v_j_idx)]); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":628 + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: # <<<<<<<<<<<<<< + * skipped += 1 + * continue + */ + __pyx_t_26 = ((__pyx_v_i_score == __pyx_v_j_score) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":629 + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: + * skipped += 1 # <<<<<<<<<<<<<< + * continue + * elif i_score < j_score: + */ + __pyx_v_skipped = (__pyx_v_skipped + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":630 + * if i_score == j_score: + * skipped += 1 + * continue # <<<<<<<<<<<<<< + * elif i_score < j_score: + * s = -1 + */ + goto __pyx_L34_continue; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":628 + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: # <<<<<<<<<<<<<< + * skipped += 1 + * continue + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":631 + * skipped += 1 + * continue + * elif i_score < j_score: # <<<<<<<<<<<<<< + * s = -1 + * + */ + __pyx_t_26 = ((__pyx_v_i_score < __pyx_v_j_score) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":632 + * continue + * elif i_score < j_score: + * s = -1 # <<<<<<<<<<<<<< + * + * pred = ( + */ + __pyx_v_s = -1L; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":631 + * skipped += 1 + * continue + * elif i_score < j_score: # <<<<<<<<<<<<<< + * s = -1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":625 + * s = 1 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): # <<<<<<<<<<<<<< + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":637 + * get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, n_aspects) + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + * ) * s # <<<<<<<<<<<<<< + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + */ + __pyx_v_pred = ((__pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_n_aspects) - __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_j_idx, __pyx_v_n_aspects)) * __pyx_v_s); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":638 + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + * ) * s + * z = (1.0 / (1.0 + exp(pred))) # <<<<<<<<<<<<<< + * if z < .5: + * correct += 1 + */ + __pyx_v_z = (1.0 / (1.0 + exp(__pyx_v_pred))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":639 + * ) * s + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * del_bpr = ld_bpr * z * s + */ + __pyx_t_26 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":640 + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + * correct += 1 # <<<<<<<<<<<<<< + * del_bpr = ld_bpr * z * s + * + */ + __pyx_v_correct = (__pyx_v_correct + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":639 + * ) * s + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * del_bpr = ld_bpr * z * s + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":641 + * if z < .5: + * correct += 1 + * del_bpr = ld_bpr * z * s # <<<<<<<<<<<<<< + * + * bpr_loss += log(1 / (1 + exp(-pred))) + */ + __pyx_v_del_bpr = ((__pyx_v_ld_bpr * __pyx_v_z) * __pyx_v_s); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":643 + * del_bpr = ld_bpr * z * s + * + * bpr_loss += log(1 / (1 + exp(-pred))) # <<<<<<<<<<<<<< + * + * for i in range(n_user_factors): + */ + __pyx_v_bpr_loss = (__pyx_v_bpr_loss + log((1.0 / (1.0 + exp((-__pyx_v_pred)))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":645 + * bpr_loss += log(1 / (1 + exp(-pred))) + * + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] + */ + __pyx_t_9 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_9; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":646 + * + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":647 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + */ + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_j_idx; + __pyx_t_8 = __pyx_v_j; + __pyx_v_i_ij = ((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_23 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) ))) - (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_25 * __pyx_v_I.strides[0]) ) + __pyx_t_8 * __pyx_v_I.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":648 + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":649 + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + */ + __pyx_t_8 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_n_aspects; + __pyx_t_23 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_20, __pyx_pybuffernd_del_g1.diminfo[2].strides) -= (((__pyx_v_del_bpr * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_8 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * __pyx_v_i_ij) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":650 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_8 = __pyx_v_n_aspects; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_u.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_23 * __pyx_v_G1.strides[0]) ) + __pyx_t_24 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * __pyx_v_i_ij) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_20 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":651 + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_18 = __pyx_v_n_aspects; + __pyx_t_19 = __pyx_v_k; + __pyx_t_21 = __pyx_v_i_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_8 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":652 + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_8 = __pyx_v_n_aspects; + __pyx_t_20 = __pyx_v_k; + __pyx_t_22 = __pyx_v_j_idx; + __pyx_t_21 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_19 * __pyx_v_G1.strides[0]) ) + __pyx_t_18 * __pyx_v_G1.strides[1]) ) + __pyx_t_23 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_20 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":653 + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij # <<<<<<<<<<<<<< + * + * for _ in prange(num_pair_samples, schedule='guided'): + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_18 = __pyx_v_n_aspects; + __pyx_t_19 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_8 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * __pyx_v_i_ij); + } + } + } + goto __pyx_L48; + __pyx_L34_continue:; + goto __pyx_L48; + __pyx_L48:; + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":655 + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + * + * for _ in prange(num_pair_samples, schedule='guided'): # <<<<<<<<<<<<<< + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] + */ + __pyx_t_4 = __pyx_v_num_pair_samples; + if ((1 == 0)) abort(); + { + __pyx_t_7 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_7 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_a_idx) lastprivate(__pyx_v_a_ji) lastprivate(__pyx_v_del_aspect_bpr) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_j_idx) lastprivate(__pyx_v_k) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_u_idx) lastprivate(__pyx_v_z) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_7; __pyx_t_3++){ + { + __pyx_v__ = (long)(0 + 1 * __pyx_t_3); + /* Initialize private variables to invalid values */ + __pyx_v_a_idx = ((long)0xbad0bad0); + __pyx_v_a_ji = ((float)__PYX_NAN()); + __pyx_v_del_aspect_bpr = ((float)__PYX_NAN()); + __pyx_v_i = ((long)0xbad0bad0); + __pyx_v_i_idx = ((long)0xbad0bad0); + __pyx_v_idx = ((long)0xbad0bad0); + __pyx_v_j = ((long)0xbad0bad0); + __pyx_v_j_idx = ((long)0xbad0bad0); + __pyx_v_k = ((long)0xbad0bad0); + __pyx_v_pred = ((float)__PYX_NAN()); + __pyx_v_u_idx = ((long)0xbad0bad0); + __pyx_v_z = ((float)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":656 + * + * for _ in prange(num_pair_samples, schedule='guided'): + * idx = rng_pos_pair.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_pair->__pyx_vtab)->generate(__pyx_v_rng_pos_pair, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":657 + * for _ in prange(num_pair_samples, schedule='guided'): + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] # <<<<<<<<<<<<<< + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_u_idx = (*((long *) ( /* dim=0 */ (__pyx_v_p_user_indices.data + __pyx_t_23 * __pyx_v_p_user_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":658 + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] # <<<<<<<<<<<<<< + * j_idx = later_indices[idx] + * a_idx = aspect_indices[idx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_i_idx = (*((long *) ( /* dim=0 */ (__pyx_v_earlier_indices.data + __pyx_t_23 * __pyx_v_earlier_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":659 + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] # <<<<<<<<<<<<<< + * a_idx = aspect_indices[idx] + * + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_j_idx = (*((long *) ( /* dim=0 */ (__pyx_v_later_indices.data + __pyx_t_23 * __pyx_v_later_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":660 + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] + * a_idx = aspect_indices[idx] # <<<<<<<<<<<<<< + * + * pred = ( + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_a_idx = (*((long *) ( /* dim=0 */ (__pyx_v_aspect_indices.data + __pyx_t_23 * __pyx_v_aspect_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":664 + * pred = ( + * get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, a_idx) + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) # <<<<<<<<<<<<<< + * ) + * + */ + __pyx_v_pred = (__pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_j_idx, __pyx_v_a_idx) - __pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_a_idx)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":667 + * ) + * + * z = (1.0 / (1.0 + exp(pred))) # <<<<<<<<<<<<<< + * if z < .5: + * aspect_correct += 1 + */ + __pyx_v_z = (1.0 / (1.0 + exp(__pyx_v_pred))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":668 + * + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * aspect_correct += 1 + * + */ + __pyx_t_26 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":669 + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + * aspect_correct += 1 # <<<<<<<<<<<<<< + * + * del_aspect_bpr = lambda_d * z + */ + __pyx_v_aspect_correct = (__pyx_v_aspect_correct + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":668 + * + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * aspect_correct += 1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":671 + * aspect_correct += 1 + * + * del_aspect_bpr = lambda_d * z # <<<<<<<<<<<<<< + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): + */ + __pyx_v_del_aspect_bpr = (__pyx_v_lambda_d * __pyx_v_z); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":672 + * + * del_aspect_bpr = lambda_d * z + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) # <<<<<<<<<<<<<< + * for i in range(n_user_factors): + * for j in range(n_item_factors): + */ + __pyx_v_aspect_bpr_loss = (__pyx_v_aspect_bpr_loss + log((1.0 / (1.0 + exp((-__pyx_v_pred)))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":673 + * del_aspect_bpr = lambda_d * z + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] + */ + __pyx_t_9 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_9; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":674 + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":675 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + */ + __pyx_t_23 = __pyx_v_j_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i_idx; + __pyx_t_8 = __pyx_v_j; + __pyx_v_a_ji = ((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_23 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) ))) - (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_25 * __pyx_v_I.strides[0]) ) + __pyx_t_8 * __pyx_v_I.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":676 + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":677 + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_8 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g1.diminfo[2].strides) -= (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_8 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * __pyx_v_a_ji) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":678 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_8 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_20 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_20, __pyx_pybuffernd_del_u.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_23 * __pyx_v_G1.strides[0]) ) + __pyx_t_24 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * __pyx_v_a_ji) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":679 + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_20 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_k; + __pyx_t_21 = __pyx_v_j_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_8 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_20 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":680 + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_8 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i_idx; + __pyx_t_21 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_19 * __pyx_v_G1.strides[0]) ) + __pyx_t_20 * __pyx_v_G1.strides[1]) ) + __pyx_t_23 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":681 + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji # <<<<<<<<<<<<<< + * + * # update params with AdaGrad + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_20 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_8 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * __pyx_v_a_ji); + } + } + } + } + } + } + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":558 + * del_a_reg.fill(0) + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L5; + } + __pyx_L5:; + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":684 + * + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_3, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) + #endif /* _OPENMP */ + { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":685 + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): + * for i in prange(n_user_factors, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_users): + * if del_u[j, i] != 0: + */ + __pyx_t_7 = __pyx_v_n_user_factors; + if ((1 == 0)) abort(); + { + __pyx_t_9 = (__pyx_t_7 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_9 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_9; __pyx_t_3++){ + { + __pyx_v_i = (long)(0 + 1 * __pyx_t_3); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((long)0xbad0bad0); + __pyx_v_k = ((long)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":686 + * with nogil, parallel(num_threads=n_threads): + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): # <<<<<<<<<<<<<< + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + */ + __pyx_t_10 = __pyx_v_n_users; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":687 + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + * if del_u[j, i] != 0: # <<<<<<<<<<<<<< + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + */ + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":688 + * for j in range(n_users): + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] # <<<<<<<<<<<<<< + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + */ + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_u_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_8 * __pyx_v_U.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":687 + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + * if del_u[j, i] != 0: # <<<<<<<<<<<<<< + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":689 + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] # <<<<<<<<<<<<<< + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: + */ + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_U.data + __pyx_t_19 * __pyx_v_sgrad_U.strides[0]) ) + __pyx_t_18 * __pyx_v_sgrad_U.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_u_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_u_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":690 + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] # <<<<<<<<<<<<<< + * if U[j, i] < 0: + * U[j, i] = 0 + */ + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_19 * __pyx_v_U.strides[1]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_U.data + __pyx_t_24 * __pyx_v_sgrad_U.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_U.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_del_u_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":691 + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: # <<<<<<<<<<<<<< + * U[j, i] = 0 + * + */ + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_26 = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_8 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":692 + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: + * U[j, i] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_item_factors): + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_8 * __pyx_v_U.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":691 + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: # <<<<<<<<<<<<<< + * U[j, i] = 0 + * + */ + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":694 + * U[j, i] = 0 + * + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: + */ + __pyx_t_10 = __pyx_v_n_item_factors; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":695 + * + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_14 = __pyx_t_13; + for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_14; __pyx_t_15+=1) { + __pyx_v_k = __pyx_t_15; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":696 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + */ + __pyx_t_8 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":697 + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_k; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_22, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_8, __pyx_pybuffernd_del_g1.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_24 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":696 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":698 + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] # <<<<<<<<<<<<<< + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_8 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G1.data + __pyx_t_22 * __pyx_v_sgrad_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_sgrad_G1.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":699 + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] # <<<<<<<<<<<<<< + * if G1[i, j, k] < 0: + * G1[i, j, k] = 0 + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_k; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_22 * __pyx_v_G1.strides[2]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G1.data + __pyx_t_23 * __pyx_v_sgrad_G1.strides[0]) ) + __pyx_t_25 * __pyx_v_sgrad_G1.strides[1]) ) + __pyx_t_8 * __pyx_v_sgrad_G1.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":700 + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: # <<<<<<<<<<<<<< + * G1[i, j, k] = 0 + * + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = (((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_24 * __pyx_v_G1.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":701 + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: + * G1[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_aspect_factors): + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_24 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":700 + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: # <<<<<<<<<<<<<< + * G1[i, j, k] = 0 + * + */ + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":703 + * G1[i, j, k] = 0 + * + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: + */ + __pyx_t_10 = __pyx_v_n_aspect_factors; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":704 + * + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + */ + __pyx_t_13 = __pyx_v_n_opinion_factors; + __pyx_t_14 = __pyx_t_13; + for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_14; __pyx_t_15+=1) { + __pyx_v_k = __pyx_t_15; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":705 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":706 + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_8 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_20, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g2.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_8 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_23 * __pyx_v_G2.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":705 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":707 + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] # <<<<<<<<<<<<<< + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G2.data + __pyx_t_20 * __pyx_v_sgrad_G2.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G2.strides[1]) ) + __pyx_t_22 * __pyx_v_sgrad_G2.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_8, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":708 + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] # <<<<<<<<<<<<<< + * if G2[i, j, k] < 0: + * G2[i, j, k] = 0 + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_8 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_22 * __pyx_v_G2.strides[0]) ) + __pyx_t_21 * __pyx_v_G2.strides[1]) ) + __pyx_t_20 * __pyx_v_G2.strides[2]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G2.data + __pyx_t_24 * __pyx_v_sgrad_G2.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_G2.strides[1]) ) + __pyx_t_18 * __pyx_v_sgrad_G2.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":709 + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: # <<<<<<<<<<<<<< + * G2[i, j, k] = 0 + * + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_k; + __pyx_t_26 = (((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_23 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_8 * __pyx_v_G2.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":710 + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: + * G2[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_item_factors, schedule='guided'): + */ + __pyx_t_8 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_8 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_23 * __pyx_v_G2.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":709 + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: # <<<<<<<<<<<<<< + * G2[i, j, k] = 0 + * + */ + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":712 + * G2[i, j, k] = 0 + * + * for i in prange(n_item_factors, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_items): + * if del_i[j, i] != 0: + */ + __pyx_t_9 = __pyx_v_n_item_factors; + if ((1 == 0)) abort(); + { + __pyx_t_7 = (__pyx_t_9 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_7 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_7; __pyx_t_3++){ + { + __pyx_v_i = (long)(0 + 1 * __pyx_t_3); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((long)0xbad0bad0); + __pyx_v_k = ((long)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":713 + * + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): # <<<<<<<<<<<<<< + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + */ + __pyx_t_10 = __pyx_v_n_items; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":714 + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): + * if del_i[j, i] != 0: # <<<<<<<<<<<<<< + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + */ + __pyx_t_23 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_i.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":715 + * for j in range(n_items): + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] # <<<<<<<<<<<<<< + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_i_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_8 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":714 + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): + * if del_i[j, i] != 0: # <<<<<<<<<<<<<< + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":716 + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] # <<<<<<<<<<<<<< + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: + */ + __pyx_t_18 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_I.data + __pyx_t_24 * __pyx_v_sgrad_I.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_I.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_del_i_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_i_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":717 + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] # <<<<<<<<<<<<<< + * if I[j, i] < 0: + * I[j, i] = 0 + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_I.data + __pyx_t_25 * __pyx_v_sgrad_I.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_I.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_i_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":718 + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: # <<<<<<<<<<<<<< + * I[j, i] = 0 + * + */ + __pyx_t_18 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_26 = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_18 * __pyx_v_I.strides[0]) ) + __pyx_t_8 * __pyx_v_I.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":719 + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: + * I[j, i] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_aspect_factors): + */ + __pyx_t_8 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_8 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":718 + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: # <<<<<<<<<<<<<< + * I[j, i] = 0 + * + */ + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":721 + * I[j, i] = 0 + * + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: + */ + __pyx_t_10 = __pyx_v_n_aspect_factors; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":722 + * + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + */ + __pyx_t_13 = __pyx_v_n_opinion_factors; + __pyx_t_14 = __pyx_t_13; + for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_14; __pyx_t_15+=1) { + __pyx_v_k = __pyx_t_15; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":723 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":724 + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_22, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g3.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_25 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_19 * __pyx_v_G3.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":723 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":725 + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] # <<<<<<<<<<<<<< + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G3.data + __pyx_t_22 * __pyx_v_sgrad_G3.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G3.strides[1]) ) + __pyx_t_20 * __pyx_v_sgrad_G3.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_25, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":726 + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] # <<<<<<<<<<<<<< + * if G3[i, j, k] < 0: + * G3[i, j, k] = 0 + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_21 * __pyx_v_G3.strides[1]) ) + __pyx_t_22 * __pyx_v_G3.strides[2]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G3.data + __pyx_t_23 * __pyx_v_sgrad_G3.strides[0]) ) + __pyx_t_8 * __pyx_v_sgrad_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_sgrad_G3.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_19, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":727 + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: # <<<<<<<<<<<<<< + * G3[i, j, k] = 0 + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_26 = (((*((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_19 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_25 * __pyx_v_G3.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":728 + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: + * G3[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_aspects + 1, schedule='guided'): + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + *((float *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_25 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_19 * __pyx_v_G3.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":727 + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: # <<<<<<<<<<<<<< + * G3[i, j, k] = 0 + * + */ + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":730 + * G3[i, j, k] = 0 + * + * for i in prange(n_aspects + 1, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: + */ + __pyx_t_7 = (__pyx_v_n_aspects + 1); + if ((1 == 0)) abort(); + { + __pyx_t_9 = (__pyx_t_7 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_9 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_9; __pyx_t_3++){ + { + __pyx_v_i = (long)(0 + 1 * __pyx_t_3); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((long)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":731 + * + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + */ + __pyx_t_10 = __pyx_v_n_aspect_factors; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":732 + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: # <<<<<<<<<<<<<< + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":733 + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] # <<<<<<<<<<<<<< + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":732 + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: # <<<<<<<<<<<<<< + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":734 + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] # <<<<<<<<<<<<<< + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_A.data + __pyx_t_23 * __pyx_v_sgrad_A.strides[0]) ) + __pyx_t_8 * __pyx_v_sgrad_A.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_a_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_a_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":735 + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] # <<<<<<<<<<<<<< + * if A[i, j] < 0: + * A[i, j] = 0 + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_A.data + __pyx_t_24 * __pyx_v_sgrad_A.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_A.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_a_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":736 + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: # <<<<<<<<<<<<<< + * A[i, j] = 0 + * + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_26 = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":737 + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: + * A[i, j] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_opinions, schedule='guided'): + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":736 + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: # <<<<<<<<<<<<<< + * A[i, j] = 0 + * + */ + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":739 + * A[i, j] = 0 + * + * for i in prange(n_opinions, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: + */ + __pyx_t_9 = __pyx_v_n_opinions; + if ((1 == 0)) abort(); + { + __pyx_t_7 = (__pyx_t_9 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_7 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_7; __pyx_t_3++){ + { + __pyx_v_i = (long)(0 + 1 * __pyx_t_3); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((long)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":740 + * + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + */ + __pyx_t_10 = __pyx_v_n_opinion_factors; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":741 + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: # <<<<<<<<<<<<<< + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_o.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":742 + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] # <<<<<<<<<<<<<< + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_del_o_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_o.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":741 + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: # <<<<<<<<<<<<<< + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":743 + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] # <<<<<<<<<<<<<< + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_O.data + __pyx_t_8 * __pyx_v_sgrad_O.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_O.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_o_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_o_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":744 + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] # <<<<<<<<<<<<<< + * if O[i, j] < 0: + * O[i, j] = 0 + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_23 * __pyx_v_O.strides[0]) ) + __pyx_t_8 * __pyx_v_O.strides[1]) )) -= ((((double)__pyx_v_lr) / sqrt((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_O.data + __pyx_t_25 * __pyx_v_sgrad_O.strides[0]) ) + __pyx_t_18 * __pyx_v_sgrad_O.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_o_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":745 + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: # <<<<<<<<<<<<<< + * O[i, j] = 0 + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_26 = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_24 * __pyx_v_O.strides[0]) ) + __pyx_t_19 * __pyx_v_O.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":746 + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: + * O[i, j] = 0 # <<<<<<<<<<<<<< + * + * return correct, skipped, loss, bpr_loss + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + *((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":745 + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: # <<<<<<<<<<<<<< + * O[i, j] = 0 + * + */ + } + } + } + } + } + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":684 + * + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L66; + } + __pyx_L66:; + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":748 + * O[i, j] = 0 + * + * return correct, skipped, loss, bpr_loss # <<<<<<<<<<<<<< + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyInt_From_long(__pyx_v_correct); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_From_long(__pyx_v_skipped); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_27 = PyFloat_FromDouble(__pyx_v_bpr_loss); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_27); + __pyx_t_28 = PyTuple_New(4); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_28); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_28, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_28, 1, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_28, 2, __pyx_t_6); + __Pyx_GIVEREF(__pyx_t_27); + PyTuple_SET_ITEM(__pyx_t_28, 3, __pyx_t_27); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_6 = 0; + __pyx_t_27 = 0; + __pyx_r = __pyx_t_28; + __pyx_t_28 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":475 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_mter( # <<<<<<<<<<<<<< + * self, + * RNGVector rng_pos_uia, + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_27); + __Pyx_XDECREF(__pyx_t_28); + { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer); + __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._fit_mter", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + goto __pyx_L2; + __pyx_L0:; + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer); + __pyx_L2:; + __PYX_XDEC_MEMVIEW(&__pyx_v_X, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_oids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_oids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_user_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_item_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_neg_item_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_indptr, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_p_user_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_earlier_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_later_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_aspect_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_pair_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G3, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_I, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_O, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G3, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_U, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_I, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_O, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_1_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_19_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_1_0__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_19_fit_mter = {"__pyx_fuse_1_0_fit_mter", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_1_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_19_fit_mter, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_10_fit_mter}; +static PyObject *__pyx_fuse_1_0__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_19_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg = 0; + int __pyx_v_n_threads; + __Pyx_memviewslice __pyx_v_X = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_oids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_oids = { 0, 0, { 0 }, { 0 }, { 0 } }; + struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict = 0; + __Pyx_memviewslice __pyx_v_user_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_item_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_neg_item_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_indptr = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_p_user_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_earlier_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_later_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_aspect_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G3 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_I = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_O = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G3 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_U = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_I = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_O = { 0, 0, { 0 }, { 0 }, { 0 } }; + PyArrayObject *__pyx_v_del_g1 = 0; + PyArrayObject *__pyx_v_del_g2 = 0; + PyArrayObject *__pyx_v_del_g3 = 0; + PyArrayObject *__pyx_v_del_u = 0; + PyArrayObject *__pyx_v_del_i = 0; + PyArrayObject *__pyx_v_del_a = 0; + PyArrayObject *__pyx_v_del_o = 0; + PyArrayObject *__pyx_v_del_g1_reg = 0; + PyArrayObject *__pyx_v_del_g2_reg = 0; + PyArrayObject *__pyx_v_del_g3_reg = 0; + PyArrayObject *__pyx_v_del_u_reg = 0; + PyArrayObject *__pyx_v_del_i_reg = 0; + PyArrayObject *__pyx_v_del_a_reg = 0; + PyArrayObject *__pyx_v_del_o_reg = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_fit_mter (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_rng_pos_uia,&__pyx_n_s_rng_pos_uao,&__pyx_n_s_rng_pos_iao,&__pyx_n_s_rng_pos_pair,&__pyx_n_s_rng_pos,&__pyx_n_s_rng_neg,&__pyx_n_s_n_threads,&__pyx_n_s_X,&__pyx_n_s_X_uids,&__pyx_n_s_X_iids,&__pyx_n_s_X_aids,&__pyx_n_s_YU,&__pyx_n_s_YU_uids,&__pyx_n_s_YU_aids,&__pyx_n_s_YU_oids,&__pyx_n_s_YI,&__pyx_n_s_YI_iids,&__pyx_n_s_YI_aids,&__pyx_n_s_YI_oids,&__pyx_n_s_rating_dict,&__pyx_n_s_user_ids,&__pyx_n_s_item_ids,&__pyx_n_s_neg_item_ids,&__pyx_n_s_indptr,&__pyx_n_s_p_user_indices,&__pyx_n_s_earlier_indices,&__pyx_n_s_later_indices,&__pyx_n_s_aspect_indices,&__pyx_n_s_pair_counts,&__pyx_n_s_G1,&__pyx_n_s_G2,&__pyx_n_s_G3,&__pyx_n_s_U,&__pyx_n_s_I,&__pyx_n_s_A,&__pyx_n_s_O,&__pyx_n_s_sgrad_G1,&__pyx_n_s_sgrad_G2,&__pyx_n_s_sgrad_G3,&__pyx_n_s_sgrad_U,&__pyx_n_s_sgrad_I,&__pyx_n_s_sgrad_A,&__pyx_n_s_sgrad_O,&__pyx_n_s_del_g1,&__pyx_n_s_del_g2,&__pyx_n_s_del_g3,&__pyx_n_s_del_u,&__pyx_n_s_del_i,&__pyx_n_s_del_a,&__pyx_n_s_del_o,&__pyx_n_s_del_g1_reg,&__pyx_n_s_del_g2_reg,&__pyx_n_s_del_g3_reg,&__pyx_n_s_del_u_reg,&__pyx_n_s_del_i_reg,&__pyx_n_s_del_a_reg,&__pyx_n_s_del_o_reg,0}; + PyObject* values[58] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 58: values[57] = PyTuple_GET_ITEM(__pyx_args, 57); + CYTHON_FALLTHROUGH; + case 57: values[56] = PyTuple_GET_ITEM(__pyx_args, 56); + CYTHON_FALLTHROUGH; + case 56: values[55] = PyTuple_GET_ITEM(__pyx_args, 55); + CYTHON_FALLTHROUGH; + case 55: values[54] = PyTuple_GET_ITEM(__pyx_args, 54); + CYTHON_FALLTHROUGH; + case 54: values[53] = PyTuple_GET_ITEM(__pyx_args, 53); + CYTHON_FALLTHROUGH; + case 53: values[52] = PyTuple_GET_ITEM(__pyx_args, 52); + CYTHON_FALLTHROUGH; + case 52: values[51] = PyTuple_GET_ITEM(__pyx_args, 51); + CYTHON_FALLTHROUGH; + case 51: values[50] = PyTuple_GET_ITEM(__pyx_args, 50); + CYTHON_FALLTHROUGH; + case 50: values[49] = PyTuple_GET_ITEM(__pyx_args, 49); + CYTHON_FALLTHROUGH; + case 49: values[48] = PyTuple_GET_ITEM(__pyx_args, 48); + CYTHON_FALLTHROUGH; + case 48: values[47] = PyTuple_GET_ITEM(__pyx_args, 47); + CYTHON_FALLTHROUGH; + case 47: values[46] = PyTuple_GET_ITEM(__pyx_args, 46); + CYTHON_FALLTHROUGH; + case 46: values[45] = PyTuple_GET_ITEM(__pyx_args, 45); + CYTHON_FALLTHROUGH; + case 45: values[44] = PyTuple_GET_ITEM(__pyx_args, 44); + CYTHON_FALLTHROUGH; + case 44: values[43] = PyTuple_GET_ITEM(__pyx_args, 43); + CYTHON_FALLTHROUGH; + case 43: values[42] = PyTuple_GET_ITEM(__pyx_args, 42); + CYTHON_FALLTHROUGH; + case 42: values[41] = PyTuple_GET_ITEM(__pyx_args, 41); + CYTHON_FALLTHROUGH; + case 41: values[40] = PyTuple_GET_ITEM(__pyx_args, 40); + CYTHON_FALLTHROUGH; + case 40: values[39] = PyTuple_GET_ITEM(__pyx_args, 39); + CYTHON_FALLTHROUGH; + case 39: values[38] = PyTuple_GET_ITEM(__pyx_args, 38); + CYTHON_FALLTHROUGH; + case 38: values[37] = PyTuple_GET_ITEM(__pyx_args, 37); + CYTHON_FALLTHROUGH; + case 37: values[36] = PyTuple_GET_ITEM(__pyx_args, 36); + CYTHON_FALLTHROUGH; + case 36: values[35] = PyTuple_GET_ITEM(__pyx_args, 35); + CYTHON_FALLTHROUGH; + case 35: values[34] = PyTuple_GET_ITEM(__pyx_args, 34); + CYTHON_FALLTHROUGH; + case 34: values[33] = PyTuple_GET_ITEM(__pyx_args, 33); + CYTHON_FALLTHROUGH; + case 33: values[32] = PyTuple_GET_ITEM(__pyx_args, 32); + CYTHON_FALLTHROUGH; + case 32: values[31] = PyTuple_GET_ITEM(__pyx_args, 31); + CYTHON_FALLTHROUGH; + case 31: values[30] = PyTuple_GET_ITEM(__pyx_args, 30); + CYTHON_FALLTHROUGH; + case 30: values[29] = PyTuple_GET_ITEM(__pyx_args, 29); + CYTHON_FALLTHROUGH; + case 29: values[28] = PyTuple_GET_ITEM(__pyx_args, 28); + CYTHON_FALLTHROUGH; + case 28: values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + CYTHON_FALLTHROUGH; + case 27: values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + CYTHON_FALLTHROUGH; + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_uia)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 1); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_uao)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 2); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_iao)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 3); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_pair)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 4); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 5); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_neg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 6); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 7); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 8); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 9); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 10: + if (likely((values[10] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 10); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 11: + if (likely((values[11] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 11); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 12: + if (likely((values[12] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 12); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 13: + if (likely((values[13] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 13); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 14: + if (likely((values[14] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 14); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 15: + if (likely((values[15] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_oids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 15); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 16: + if (likely((values[16] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 16); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 17: + if (likely((values[17] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 17); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 18: + if (likely((values[18] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 18); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 19: + if (likely((values[19] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_oids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 19); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 20: + if (likely((values[20] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rating_dict)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 20); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 21: + if (likely((values[21] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_user_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 21); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 22: + if (likely((values[22] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_item_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 22); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 23: + if (likely((values[23] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neg_item_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 23); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 24: + if (likely((values[24] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_indptr)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 24); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 25: + if (likely((values[25] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_p_user_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 25); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 26: + if (likely((values[26] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_earlier_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 26); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 27: + if (likely((values[27] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_later_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 27); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 28: + if (likely((values[28] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_aspect_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 28); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 29: + if (likely((values[29] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pair_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 29); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 30: + if (likely((values[30] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 30); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 31: + if (likely((values[31] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 31); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 32: + if (likely((values[32] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 32); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 33: + if (likely((values[33] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 33); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 34: + if (likely((values[34] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_I)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 34); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 35: + if (likely((values[35] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 35); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 36: + if (likely((values[36] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_O)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 36); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 37: + if (likely((values[37] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 37); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 38: + if (likely((values[38] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 38); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 39: + if (likely((values[39] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 39); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 40: + if (likely((values[40] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_U)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 40); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 41: + if (likely((values[41] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_I)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 41); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 42: + if (likely((values[42] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 42); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 43: + if (likely((values[43] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_O)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 43); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 44: + if (likely((values[44] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 44); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 45: + if (likely((values[45] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 45); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 46: + if (likely((values[46] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 46); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 47: + if (likely((values[47] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_u)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 47); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 48: + if (likely((values[48] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_i)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 48); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 49: + if (likely((values[49] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_a)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 49); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 50: + if (likely((values[50] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_o)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 50); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 51: + if (likely((values[51] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g1_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 51); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 52: + if (likely((values[52] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g2_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 52); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 53: + if (likely((values[53] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g3_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 53); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 54: + if (likely((values[54] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_u_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 54); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 55: + if (likely((values[55] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_i_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 55); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 56: + if (likely((values[56] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_a_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 56); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 57: + if (likely((values[57] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_o_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 57); __PYX_ERR(0, 475, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_fit_mter") < 0)) __PYX_ERR(0, 475, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 58) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + values[28] = PyTuple_GET_ITEM(__pyx_args, 28); + values[29] = PyTuple_GET_ITEM(__pyx_args, 29); + values[30] = PyTuple_GET_ITEM(__pyx_args, 30); + values[31] = PyTuple_GET_ITEM(__pyx_args, 31); + values[32] = PyTuple_GET_ITEM(__pyx_args, 32); + values[33] = PyTuple_GET_ITEM(__pyx_args, 33); + values[34] = PyTuple_GET_ITEM(__pyx_args, 34); + values[35] = PyTuple_GET_ITEM(__pyx_args, 35); + values[36] = PyTuple_GET_ITEM(__pyx_args, 36); + values[37] = PyTuple_GET_ITEM(__pyx_args, 37); + values[38] = PyTuple_GET_ITEM(__pyx_args, 38); + values[39] = PyTuple_GET_ITEM(__pyx_args, 39); + values[40] = PyTuple_GET_ITEM(__pyx_args, 40); + values[41] = PyTuple_GET_ITEM(__pyx_args, 41); + values[42] = PyTuple_GET_ITEM(__pyx_args, 42); + values[43] = PyTuple_GET_ITEM(__pyx_args, 43); + values[44] = PyTuple_GET_ITEM(__pyx_args, 44); + values[45] = PyTuple_GET_ITEM(__pyx_args, 45); + values[46] = PyTuple_GET_ITEM(__pyx_args, 46); + values[47] = PyTuple_GET_ITEM(__pyx_args, 47); + values[48] = PyTuple_GET_ITEM(__pyx_args, 48); + values[49] = PyTuple_GET_ITEM(__pyx_args, 49); + values[50] = PyTuple_GET_ITEM(__pyx_args, 50); + values[51] = PyTuple_GET_ITEM(__pyx_args, 51); + values[52] = PyTuple_GET_ITEM(__pyx_args, 52); + values[53] = PyTuple_GET_ITEM(__pyx_args, 53); + values[54] = PyTuple_GET_ITEM(__pyx_args, 54); + values[55] = PyTuple_GET_ITEM(__pyx_args, 55); + values[56] = PyTuple_GET_ITEM(__pyx_args, 56); + values[57] = PyTuple_GET_ITEM(__pyx_args, 57); + } + __pyx_v_self = values[0]; + __pyx_v_rng_pos_uia = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[1]); + __pyx_v_rng_pos_uao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[2]); + __pyx_v_rng_pos_iao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[3]); + __pyx_v_rng_pos_pair = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[4]); + __pyx_v_rng_pos = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[5]); + __pyx_v_rng_neg = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[6]); + __pyx_v_n_threads = __Pyx_PyInt_As_int(values[7]); if (unlikely((__pyx_v_n_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 483, __pyx_L3_error) + __pyx_v_X = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_uids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[10], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_iids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[11], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_YU = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[12], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[13], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_uids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[14], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_aids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_oids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[15], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_oids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YI = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[16], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[17], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_iids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[18], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_aids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_oids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[19], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_oids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_rating_dict = ((struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *)values[20]); + __pyx_v_user_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[21], PyBUF_WRITABLE); if (unlikely(!__pyx_v_user_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_item_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[22], PyBUF_WRITABLE); if (unlikely(!__pyx_v_item_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_neg_item_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[23], PyBUF_WRITABLE); if (unlikely(!__pyx_v_neg_item_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_indptr = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[24], PyBUF_WRITABLE); if (unlikely(!__pyx_v_indptr.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_p_user_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[25], PyBUF_WRITABLE); if (unlikely(!__pyx_v_p_user_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_earlier_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[26], PyBUF_WRITABLE); if (unlikely(!__pyx_v_earlier_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_later_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[27], PyBUF_WRITABLE); if (unlikely(!__pyx_v_later_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_aspect_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[28], PyBUF_WRITABLE); if (unlikely(!__pyx_v_aspect_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_pair_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_short(values[29], PyBUF_WRITABLE); if (unlikely(!__pyx_v_pair_counts.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_G1 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[30], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G1.memview)) __PYX_ERR(0, 490, __pyx_L3_error) + __pyx_v_G2 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[31], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G2.memview)) __PYX_ERR(0, 491, __pyx_L3_error) + __pyx_v_G3 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[32], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G3.memview)) __PYX_ERR(0, 492, __pyx_L3_error) + __pyx_v_U = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[33], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U.memview)) __PYX_ERR(0, 493, __pyx_L3_error) + __pyx_v_I = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[34], PyBUF_WRITABLE); if (unlikely(!__pyx_v_I.memview)) __PYX_ERR(0, 494, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[35], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 495, __pyx_L3_error) + __pyx_v_O = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[36], PyBUF_WRITABLE); if (unlikely(!__pyx_v_O.memview)) __PYX_ERR(0, 496, __pyx_L3_error) + __pyx_v_sgrad_G1 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[37], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G1.memview)) __PYX_ERR(0, 497, __pyx_L3_error) + __pyx_v_sgrad_G2 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[38], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G2.memview)) __PYX_ERR(0, 498, __pyx_L3_error) + __pyx_v_sgrad_G3 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[39], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G3.memview)) __PYX_ERR(0, 499, __pyx_L3_error) + __pyx_v_sgrad_U = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[40], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_U.memview)) __PYX_ERR(0, 500, __pyx_L3_error) + __pyx_v_sgrad_I = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[41], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_I.memview)) __PYX_ERR(0, 501, __pyx_L3_error) + __pyx_v_sgrad_A = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[42], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_A.memview)) __PYX_ERR(0, 502, __pyx_L3_error) + __pyx_v_sgrad_O = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[43], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_O.memview)) __PYX_ERR(0, 503, __pyx_L3_error) + __pyx_v_del_g1 = ((PyArrayObject *)values[44]); + __pyx_v_del_g2 = ((PyArrayObject *)values[45]); + __pyx_v_del_g3 = ((PyArrayObject *)values[46]); + __pyx_v_del_u = ((PyArrayObject *)values[47]); + __pyx_v_del_i = ((PyArrayObject *)values[48]); + __pyx_v_del_a = ((PyArrayObject *)values[49]); + __pyx_v_del_o = ((PyArrayObject *)values[50]); + __pyx_v_del_g1_reg = ((PyArrayObject *)values[51]); + __pyx_v_del_g2_reg = ((PyArrayObject *)values[52]); + __pyx_v_del_g3_reg = ((PyArrayObject *)values[53]); + __pyx_v_del_u_reg = ((PyArrayObject *)values[54]); + __pyx_v_del_i_reg = ((PyArrayObject *)values[55]); + __pyx_v_del_a_reg = ((PyArrayObject *)values[56]); + __pyx_v_del_o_reg = ((PyArrayObject *)values[57]); + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 475, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._fit_mter", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_uia), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_uia", 0))) __PYX_ERR(0, 477, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_uao), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_uao", 0))) __PYX_ERR(0, 478, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_iao), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_iao", 0))) __PYX_ERR(0, 479, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_pair), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_pair", 0))) __PYX_ERR(0, 480, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos", 0))) __PYX_ERR(0, 481, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_neg), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_neg", 0))) __PYX_ERR(0, 482, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rating_dict), __pyx_ptype_6cornac_5utils_9fast_dict_IntFloatDict, 1, "rating_dict", 0))) __PYX_ERR(0, 487, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g1), __pyx_ptype_5numpy_ndarray, 1, "del_g1", 0))) __PYX_ERR(0, 504, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g2), __pyx_ptype_5numpy_ndarray, 1, "del_g2", 0))) __PYX_ERR(0, 505, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g3), __pyx_ptype_5numpy_ndarray, 1, "del_g3", 0))) __PYX_ERR(0, 506, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_u), __pyx_ptype_5numpy_ndarray, 1, "del_u", 0))) __PYX_ERR(0, 507, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_i), __pyx_ptype_5numpy_ndarray, 1, "del_i", 0))) __PYX_ERR(0, 508, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_a), __pyx_ptype_5numpy_ndarray, 1, "del_a", 0))) __PYX_ERR(0, 509, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_o), __pyx_ptype_5numpy_ndarray, 1, "del_o", 0))) __PYX_ERR(0, 510, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g1_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g1_reg", 0))) __PYX_ERR(0, 511, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g2_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g2_reg", 0))) __PYX_ERR(0, 512, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g3_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g3_reg", 0))) __PYX_ERR(0, 513, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_u_reg), __pyx_ptype_5numpy_ndarray, 1, "del_u_reg", 0))) __PYX_ERR(0, 514, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_i_reg), __pyx_ptype_5numpy_ndarray, 1, "del_i_reg", 0))) __PYX_ERR(0, 515, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_a_reg), __pyx_ptype_5numpy_ndarray, 1, "del_a_reg", 0))) __PYX_ERR(0, 516, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_o_reg), __pyx_ptype_5numpy_ndarray, 1, "del_o_reg", 0))) __PYX_ERR(0, 517, __pyx_L1_error) + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_18_fit_mter(__pyx_self, __pyx_v_self, __pyx_v_rng_pos_uia, __pyx_v_rng_pos_uao, __pyx_v_rng_pos_iao, __pyx_v_rng_pos_pair, __pyx_v_rng_pos, __pyx_v_rng_neg, __pyx_v_n_threads, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_iids, __pyx_v_X_aids, __pyx_v_YU, __pyx_v_YU_uids, __pyx_v_YU_aids, __pyx_v_YU_oids, __pyx_v_YI, __pyx_v_YI_iids, __pyx_v_YI_aids, __pyx_v_YI_oids, __pyx_v_rating_dict, __pyx_v_user_ids, __pyx_v_item_ids, __pyx_v_neg_item_ids, __pyx_v_indptr, __pyx_v_p_user_indices, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_v_G1, __pyx_v_G2, __pyx_v_G3, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_O, __pyx_v_sgrad_G1, __pyx_v_sgrad_G2, __pyx_v_sgrad_G3, __pyx_v_sgrad_U, __pyx_v_sgrad_I, __pyx_v_sgrad_A, __pyx_v_sgrad_O, __pyx_v_del_g1, __pyx_v_del_g2, __pyx_v_del_g3, __pyx_v_del_u, __pyx_v_del_i, __pyx_v_del_a, __pyx_v_del_o, __pyx_v_del_g1_reg, __pyx_v_del_g2_reg, __pyx_v_del_g3_reg, __pyx_v_del_u_reg, __pyx_v_del_i_reg, __pyx_v_del_a_reg, __pyx_v_del_o_reg); + + /* function exit code */ + goto __pyx_L0; + __pyx_L1_error:; + __pyx_r = NULL; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_18_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg, int __pyx_v_n_threads, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_iids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_YU, __Pyx_memviewslice __pyx_v_YU_uids, __Pyx_memviewslice __pyx_v_YU_aids, __Pyx_memviewslice __pyx_v_YU_oids, __Pyx_memviewslice __pyx_v_YI, __Pyx_memviewslice __pyx_v_YI_iids, __Pyx_memviewslice __pyx_v_YI_aids, __Pyx_memviewslice __pyx_v_YI_oids, struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict, __Pyx_memviewslice __pyx_v_user_ids, __Pyx_memviewslice __pyx_v_item_ids, __Pyx_memviewslice __pyx_v_neg_item_ids, __Pyx_memviewslice __pyx_v_indptr, __Pyx_memviewslice __pyx_v_p_user_indices, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_G1, __Pyx_memviewslice __pyx_v_G2, __Pyx_memviewslice __pyx_v_G3, __Pyx_memviewslice __pyx_v_U, __Pyx_memviewslice __pyx_v_I, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_O, __Pyx_memviewslice __pyx_v_sgrad_G1, __Pyx_memviewslice __pyx_v_sgrad_G2, __Pyx_memviewslice __pyx_v_sgrad_G3, __Pyx_memviewslice __pyx_v_sgrad_U, __Pyx_memviewslice __pyx_v_sgrad_I, __Pyx_memviewslice __pyx_v_sgrad_A, __Pyx_memviewslice __pyx_v_sgrad_O, PyArrayObject *__pyx_v_del_g1, PyArrayObject *__pyx_v_del_g2, PyArrayObject *__pyx_v_del_g3, PyArrayObject *__pyx_v_del_u, PyArrayObject *__pyx_v_del_i, PyArrayObject *__pyx_v_del_a, PyArrayObject *__pyx_v_del_o, PyArrayObject *__pyx_v_del_g1_reg, PyArrayObject *__pyx_v_del_g2_reg, PyArrayObject *__pyx_v_del_g3_reg, PyArrayObject *__pyx_v_del_u_reg, PyArrayObject *__pyx_v_del_i_reg, PyArrayObject *__pyx_v_del_a_reg, PyArrayObject *__pyx_v_del_o_reg) { + long __pyx_v_s; + long __pyx_v_correct; + long __pyx_v_skipped; + long __pyx_v_aspect_correct; + long __pyx_v_n_users; + long __pyx_v_n_items; + long __pyx_v_n_aspects; + CYTHON_UNUSED long __pyx_v_n_opinions; + long __pyx_v_n_user_factors; + long __pyx_v_n_item_factors; + long __pyx_v_n_aspect_factors; + long __pyx_v_n_opinion_factors; + CYTHON_UNUSED int __pyx_v_num_samples; + CYTHON_UNUSED int __pyx_v_num_bpr_samples; + CYTHON_UNUSED int __pyx_v_num_pair_samples; + CYTHON_UNUSED short __pyx_v__; + short __pyx_v_i; + short __pyx_v_j; + short __pyx_v_k; + short __pyx_v_idx; + short __pyx_v_jdx; + short __pyx_v_u_idx; + short __pyx_v_i_idx; + short __pyx_v_a_idx; + short __pyx_v_o_idx; + short __pyx_v_j_idx; + short __pyx_v_thread_id; + double __pyx_v_z; + double __pyx_v_score; + double __pyx_v_i_score; + double __pyx_v_j_score; + double __pyx_v_pred; + double __pyx_v_i_ij; + double __pyx_v_a_ji; + double __pyx_v_loss; + double __pyx_v_bpr_loss; + double __pyx_v_aspect_bpr_loss; + double __pyx_v_del_sqerror; + double __pyx_v_del_bpr; + double __pyx_v_del_aspect_bpr; + double __pyx_v_eps; + double __pyx_v_lr; + double __pyx_v_ld_reg; + double __pyx_v_ld_bpr; + double __pyx_v_lambda_d; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_a; + __Pyx_Buffer __pyx_pybuffer_del_a; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_a_reg; + __Pyx_Buffer __pyx_pybuffer_del_a_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g1; + __Pyx_Buffer __pyx_pybuffer_del_g1; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g1_reg; + __Pyx_Buffer __pyx_pybuffer_del_g1_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g2; + __Pyx_Buffer __pyx_pybuffer_del_g2; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g2_reg; + __Pyx_Buffer __pyx_pybuffer_del_g2_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g3; + __Pyx_Buffer __pyx_pybuffer_del_g3; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g3_reg; + __Pyx_Buffer __pyx_pybuffer_del_g3_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_i; + __Pyx_Buffer __pyx_pybuffer_del_i; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_i_reg; + __Pyx_Buffer __pyx_pybuffer_del_i_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_o; + __Pyx_Buffer __pyx_pybuffer_del_o; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_o_reg; + __Pyx_Buffer __pyx_pybuffer_del_o_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_u; + __Pyx_Buffer __pyx_pybuffer_del_u; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_u_reg; + __Pyx_Buffer __pyx_pybuffer_del_u_reg; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + long __pyx_t_3; + int __pyx_t_4; + double __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + int __pyx_t_7; + int __pyx_t_8; + Py_ssize_t __pyx_t_9; + long __pyx_t_10; + short __pyx_t_11; + long __pyx_t_12; + long __pyx_t_13; + short __pyx_t_14; + long __pyx_t_15; + long __pyx_t_16; + short __pyx_t_17; + Py_ssize_t __pyx_t_18; + Py_ssize_t __pyx_t_19; + Py_ssize_t __pyx_t_20; + Py_ssize_t __pyx_t_21; + Py_ssize_t __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + Py_ssize_t __pyx_t_25; + int __pyx_t_26; + long __pyx_t_27; + PyObject *__pyx_t_28 = NULL; + PyObject *__pyx_t_29 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_1_0_fit_mter", 0); + __pyx_pybuffer_del_g1.pybuffer.buf = NULL; + __pyx_pybuffer_del_g1.refcount = 0; + __pyx_pybuffernd_del_g1.data = NULL; + __pyx_pybuffernd_del_g1.rcbuffer = &__pyx_pybuffer_del_g1; + __pyx_pybuffer_del_g2.pybuffer.buf = NULL; + __pyx_pybuffer_del_g2.refcount = 0; + __pyx_pybuffernd_del_g2.data = NULL; + __pyx_pybuffernd_del_g2.rcbuffer = &__pyx_pybuffer_del_g2; + __pyx_pybuffer_del_g3.pybuffer.buf = NULL; + __pyx_pybuffer_del_g3.refcount = 0; + __pyx_pybuffernd_del_g3.data = NULL; + __pyx_pybuffernd_del_g3.rcbuffer = &__pyx_pybuffer_del_g3; + __pyx_pybuffer_del_u.pybuffer.buf = NULL; + __pyx_pybuffer_del_u.refcount = 0; + __pyx_pybuffernd_del_u.data = NULL; + __pyx_pybuffernd_del_u.rcbuffer = &__pyx_pybuffer_del_u; + __pyx_pybuffer_del_i.pybuffer.buf = NULL; + __pyx_pybuffer_del_i.refcount = 0; + __pyx_pybuffernd_del_i.data = NULL; + __pyx_pybuffernd_del_i.rcbuffer = &__pyx_pybuffer_del_i; + __pyx_pybuffer_del_a.pybuffer.buf = NULL; + __pyx_pybuffer_del_a.refcount = 0; + __pyx_pybuffernd_del_a.data = NULL; + __pyx_pybuffernd_del_a.rcbuffer = &__pyx_pybuffer_del_a; + __pyx_pybuffer_del_o.pybuffer.buf = NULL; + __pyx_pybuffer_del_o.refcount = 0; + __pyx_pybuffernd_del_o.data = NULL; + __pyx_pybuffernd_del_o.rcbuffer = &__pyx_pybuffer_del_o; + __pyx_pybuffer_del_g1_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g1_reg.refcount = 0; + __pyx_pybuffernd_del_g1_reg.data = NULL; + __pyx_pybuffernd_del_g1_reg.rcbuffer = &__pyx_pybuffer_del_g1_reg; + __pyx_pybuffer_del_g2_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g2_reg.refcount = 0; + __pyx_pybuffernd_del_g2_reg.data = NULL; + __pyx_pybuffernd_del_g2_reg.rcbuffer = &__pyx_pybuffer_del_g2_reg; + __pyx_pybuffer_del_g3_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g3_reg.refcount = 0; + __pyx_pybuffernd_del_g3_reg.data = NULL; + __pyx_pybuffernd_del_g3_reg.rcbuffer = &__pyx_pybuffer_del_g3_reg; + __pyx_pybuffer_del_u_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_u_reg.refcount = 0; + __pyx_pybuffernd_del_u_reg.data = NULL; + __pyx_pybuffernd_del_u_reg.rcbuffer = &__pyx_pybuffer_del_u_reg; + __pyx_pybuffer_del_i_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_i_reg.refcount = 0; + __pyx_pybuffernd_del_i_reg.data = NULL; + __pyx_pybuffernd_del_i_reg.rcbuffer = &__pyx_pybuffer_del_i_reg; + __pyx_pybuffer_del_a_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_a_reg.refcount = 0; + __pyx_pybuffernd_del_a_reg.data = NULL; + __pyx_pybuffernd_del_a_reg.rcbuffer = &__pyx_pybuffer_del_a_reg; + __pyx_pybuffer_del_o_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_o_reg.refcount = 0; + __pyx_pybuffernd_del_o_reg.data = NULL; + __pyx_pybuffernd_del_o_reg.rcbuffer = &__pyx_pybuffer_del_o_reg; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g1.diminfo[0].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g1.diminfo[0].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g1.diminfo[1].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g1.diminfo[1].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g1.diminfo[2].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g1.diminfo[2].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g2, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g2.diminfo[0].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g2.diminfo[0].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g2.diminfo[1].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g2.diminfo[1].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g2.diminfo[2].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g2.diminfo[2].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g3, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g3.diminfo[0].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g3.diminfo[0].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g3.diminfo[1].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g3.diminfo[1].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g3.diminfo[2].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g3.diminfo[2].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_u, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_u.diminfo[0].strides = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_u.diminfo[0].shape = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_u.diminfo[1].strides = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_u.diminfo[1].shape = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_i, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_i.diminfo[0].strides = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_i.diminfo[0].shape = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_i.diminfo[1].strides = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_i.diminfo[1].shape = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_a, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_a.diminfo[0].strides = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_a.diminfo[0].shape = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_a.diminfo[1].strides = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_a.diminfo[1].shape = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_o, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_o.diminfo[0].strides = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_o.diminfo[0].shape = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_o.diminfo[1].strides = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_o.diminfo[1].shape = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g1_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g1_reg.diminfo[0].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g1_reg.diminfo[0].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g1_reg.diminfo[1].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g1_reg.diminfo[1].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g1_reg.diminfo[2].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g1_reg.diminfo[2].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g2_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g2_reg.diminfo[0].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g2_reg.diminfo[0].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g2_reg.diminfo[1].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g2_reg.diminfo[1].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g2_reg.diminfo[2].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g2_reg.diminfo[2].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g3_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g3_reg.diminfo[0].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g3_reg.diminfo[0].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g3_reg.diminfo[1].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g3_reg.diminfo[1].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g3_reg.diminfo[2].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g3_reg.diminfo[2].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_u_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_u_reg.diminfo[0].strides = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_u_reg.diminfo[0].shape = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_u_reg.diminfo[1].strides = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_u_reg.diminfo[1].shape = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_i_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_i_reg.diminfo[0].strides = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_i_reg.diminfo[0].shape = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_i_reg.diminfo[1].strides = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_i_reg.diminfo[1].shape = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_a_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_a_reg.diminfo[0].strides = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_a_reg.diminfo[0].shape = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_a_reg.diminfo[1].strides = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_a_reg.diminfo[1].shape = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_o_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_o_reg.diminfo[0].strides = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_o_reg.diminfo[0].shape = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_o_reg.diminfo[1].strides = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_o_reg.diminfo[1].shape = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.shape[1]; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":521 + * """ + * cdef: + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 # <<<<<<<<<<<<<< + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items + */ + __pyx_v_correct = 0; + __pyx_v_skipped = 0; + __pyx_v_aspect_correct = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":522 + * cdef: + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + * long n_users = self.train_set.num_users # <<<<<<<<<<<<<< + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_users); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_2); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_n_users = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":523 + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items # <<<<<<<<<<<<<< + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_items); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_items = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":524 + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects # <<<<<<<<<<<<<< + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_aspects = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":525 + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions # <<<<<<<<<<<<<< + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_opinions); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_opinions = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":526 + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors # <<<<<<<<<<<<<< + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_user_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_user_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":527 + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors # <<<<<<<<<<<<<< + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_item_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_item_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":528 + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors # <<<<<<<<<<<<<< + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_aspect_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_aspect_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":529 + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors # <<<<<<<<<<<<<< + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_opinion_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_opinion_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":530 + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples # <<<<<<<<<<<<<< + * int num_bpr_samples = self.n_bpr_samples + * int num_pair_samples = self.n_pair_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_element_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 530, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 530, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":531 + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples # <<<<<<<<<<<<<< + * int num_pair_samples = self.n_pair_samples + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_bpr_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 531, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 531, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_bpr_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":532 + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples + * int num_pair_samples = self.n_pair_samples # <<<<<<<<<<<<<< + * + * integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_pair_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_pair_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":536 + * integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + * floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + * floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr # <<<<<<<<<<<<<< + * floating eps = 1e-9 + * + */ + __pyx_v_loss = 0.; + __pyx_v_bpr_loss = 0.; + __pyx_v_aspect_bpr_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":537 + * floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + * floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr + * floating eps = 1e-9 # <<<<<<<<<<<<<< + * + * floating lr = self.lr + */ + __pyx_v_eps = 1e-9; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":539 + * floating eps = 1e-9 + * + * floating lr = self.lr # <<<<<<<<<<<<<< + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_lr = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":540 + * + * floating lr = self.lr + * floating ld_reg = self.lambda_reg # <<<<<<<<<<<<<< + * floating ld_bpr = self.lambda_bpr + * floating lambda_d = self.lambda_d + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_reg); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_ld_reg = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":541 + * floating lr = self.lr + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr # <<<<<<<<<<<<<< + * floating lambda_d = self.lambda_d + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_bpr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 541, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 541, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_ld_bpr = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":542 + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr + * floating lambda_d = self.lambda_d # <<<<<<<<<<<<<< + * + * del_g1.fill(0) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 542, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 542, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_lambda_d = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":544 + * floating lambda_d = self.lambda_d + * + * del_g1.fill(0) # <<<<<<<<<<<<<< + * del_g2.fill(0) + * del_g3.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g1), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 544, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 544, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":545 + * + * del_g1.fill(0) + * del_g2.fill(0) # <<<<<<<<<<<<<< + * del_g3.fill(0) + * del_u.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g2), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":546 + * del_g1.fill(0) + * del_g2.fill(0) + * del_g3.fill(0) # <<<<<<<<<<<<<< + * del_u.fill(0) + * del_i.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g3), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":547 + * del_g2.fill(0) + * del_g3.fill(0) + * del_u.fill(0) # <<<<<<<<<<<<<< + * del_i.fill(0) + * del_a.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_u), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":548 + * del_g3.fill(0) + * del_u.fill(0) + * del_i.fill(0) # <<<<<<<<<<<<<< + * del_a.fill(0) + * del_o.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_i), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 548, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 548, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":549 + * del_u.fill(0) + * del_i.fill(0) + * del_a.fill(0) # <<<<<<<<<<<<<< + * del_o.fill(0) + * del_g1_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_a), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":550 + * del_i.fill(0) + * del_a.fill(0) + * del_o.fill(0) # <<<<<<<<<<<<<< + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_o), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":551 + * del_a.fill(0) + * del_o.fill(0) + * del_g1_reg.fill(0) # <<<<<<<<<<<<<< + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g1_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":552 + * del_o.fill(0) + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) # <<<<<<<<<<<<<< + * del_g3_reg.fill(0) + * del_u_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g2_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":553 + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) # <<<<<<<<<<<<<< + * del_u_reg.fill(0) + * del_i_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g3_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":554 + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) + * del_u_reg.fill(0) # <<<<<<<<<<<<<< + * del_i_reg.fill(0) + * del_a_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_u_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":555 + * del_g3_reg.fill(0) + * del_u_reg.fill(0) + * del_i_reg.fill(0) # <<<<<<<<<<<<<< + * del_a_reg.fill(0) + * del_o_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_i_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 555, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 555, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":556 + * del_u_reg.fill(0) + * del_i_reg.fill(0) + * del_a_reg.fill(0) # <<<<<<<<<<<<<< + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_a_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":557 + * del_i_reg.fill(0) + * del_a_reg.fill(0) + * del_o_reg.fill(0) # <<<<<<<<<<<<<< + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_o_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":558 + * del_a_reg.fill(0) + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel private(__pyx_v_thread_id) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_bpr_loss) reduction(+:__pyx_v_correct) reduction(+:__pyx_v_skipped) reduction(+:__pyx_v_aspect_bpr_loss) reduction(+:__pyx_v_aspect_correct) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_3, __pyx_t_4, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) + #endif /* _OPENMP */ + { + /* Initialize private variables to invalid values */ + __pyx_v_thread_id = ((short)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":559 + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() # <<<<<<<<<<<<<< + * for _ in prange(num_samples, schedule='guided'): + * # get user item aspect element + */ + __pyx_v_thread_id = recom_bpr::get_thread_num(); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":560 + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): # <<<<<<<<<<<<<< + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) + */ + __pyx_t_4 = __pyx_v_num_samples; + if ((1 == 0)) abort(); + { + __pyx_t_8 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_8 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_a_idx) lastprivate(__pyx_v_del_sqerror) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_o_idx) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_score) lastprivate(__pyx_v_u_idx) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_8; __pyx_t_7++){ + { + __pyx_v__ = (short)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_a_idx = ((short)0xbad0bad0); + __pyx_v_del_sqerror = ((double)__PYX_NAN()); + __pyx_v_i = ((short)0xbad0bad0); + __pyx_v_i_idx = ((short)0xbad0bad0); + __pyx_v_idx = ((short)0xbad0bad0); + __pyx_v_j = ((short)0xbad0bad0); + __pyx_v_k = ((short)0xbad0bad0); + __pyx_v_o_idx = ((short)0xbad0bad0); + __pyx_v_pred = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + __pyx_v_u_idx = ((short)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":562 + * for _ in prange(num_samples, schedule='guided'): + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_uia->__pyx_vtab)->generate(__pyx_v_rng_pos_uia, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":563 + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) + * u_idx = X_uids[idx] # <<<<<<<<<<<<<< + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_u_idx = (*((short *) ( /* dim=0 */ (__pyx_v_X_uids.data + __pyx_t_9 * __pyx_v_X_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":564 + * idx = rng_pos_uia.generate(thread_id) + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] # <<<<<<<<<<<<<< + * a_idx = X_aids[idx] + * score = X[idx] + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_i_idx = (*((short *) ( /* dim=0 */ (__pyx_v_X_iids.data + __pyx_t_9 * __pyx_v_X_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":565 + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] # <<<<<<<<<<<<<< + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_a_idx = (*((short *) ( /* dim=0 */ (__pyx_v_X_aids.data + __pyx_t_9 * __pyx_v_X_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":566 + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] + * score = X[idx] # <<<<<<<<<<<<<< + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_X.data + __pyx_t_9 * __pyx_v_X.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":567 + * a_idx = X_aids[idx] + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_a_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":568 + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":570 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * for i in range(n_user_factors): + * for j in range(n_item_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":571 + * + * del_sqerror = 2 * (pred - score) + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":572 + * del_sqerror = 2 * (pred - score) + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":573 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":574 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_9 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_i_idx; + __pyx_t_20 = __pyx_v_j; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_k; + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_18 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_20 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_21 * __pyx_v_A.strides[0]) ) + __pyx_t_22 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":575 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + */ + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_i_idx; + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_22 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":576 + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + * + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_k; + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_24 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_25 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_19 * __pyx_v_U.strides[0]) ) + __pyx_t_20 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_21 * __pyx_v_A.strides[0]) ) + __pyx_t_22 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":577 + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] # <<<<<<<<<<<<<< + * + * # get user aspect opinion element + */ + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_j; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_22 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_19 * __pyx_v_U.strides[0]) ) + __pyx_t_18 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))); + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":580 + * + * # get user aspect opinion element + * idx = rng_pos_uao.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_uao->__pyx_vtab)->generate(__pyx_v_rng_pos_uao, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":581 + * # get user aspect opinion element + * idx = rng_pos_uao.generate(thread_id) + * u_idx = YU_uids[idx] # <<<<<<<<<<<<<< + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_u_idx = (*((short *) ( /* dim=0 */ (__pyx_v_YU_uids.data + __pyx_t_25 * __pyx_v_YU_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":582 + * idx = rng_pos_uao.generate(thread_id) + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] # <<<<<<<<<<<<<< + * o_idx = YU_oids[idx] + * score = YU[idx] + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_a_idx = (*((short *) ( /* dim=0 */ (__pyx_v_YU_aids.data + __pyx_t_25 * __pyx_v_YU_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":583 + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] # <<<<<<<<<<<<<< + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_o_idx = (*((short *) ( /* dim=0 */ (__pyx_v_YU_oids.data + __pyx_t_25 * __pyx_v_YU_oids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":584 + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] + * score = YU[idx] # <<<<<<<<<<<<<< + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_YU.data + __pyx_t_25 * __pyx_v_YU.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":585 + * o_idx = YU_oids[idx] + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G2, __pyx_v_n_user_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_U, __pyx_v_A, __pyx_v_O, __pyx_v_u_idx, __pyx_v_a_idx, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":586 + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":588 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * + * for i in range(n_user_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":590 + * del_sqerror = 2 * (pred - score) + * + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":591 + * + * for i in range(n_user_factors): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_12 = __pyx_v_n_aspect_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":592 + * for i in range(n_user_factors): + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_15 = __pyx_v_n_opinion_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":593 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + */ + __pyx_t_25 = __pyx_v_u_idx; + __pyx_t_9 = __pyx_v_i; + __pyx_t_18 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_j; + __pyx_t_20 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_20 * __pyx_v_O.strides[0]) ) + __pyx_t_21 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":594 + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + */ + __pyx_t_21 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_18 = __pyx_v_a_idx; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_o_idx; + __pyx_t_24 = __pyx_v_k; + __pyx_t_23 = __pyx_v_u_idx; + __pyx_t_22 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_u.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_21 * __pyx_v_G2.strides[0]) ) + __pyx_t_20 * __pyx_v_G2.strides[1]) ) + __pyx_t_19 * __pyx_v_G2.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_9 * __pyx_v_A.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_25 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":595 + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_18 = __pyx_v_u_idx; + __pyx_t_19 = __pyx_v_i; + __pyx_t_20 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + __pyx_t_22 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_24 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_9 * __pyx_v_G2.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_19 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_20 * __pyx_v_O.strides[0]) ) + __pyx_t_21 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":596 + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] # <<<<<<<<<<<<<< + * + * # get item aspect opinion element + */ + __pyx_t_21 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_18 = __pyx_v_u_idx; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_a_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_o_idx; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_o.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_21 * __pyx_v_G2.strides[0]) ) + __pyx_t_20 * __pyx_v_G2.strides[1]) ) + __pyx_t_19 * __pyx_v_G2.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_24 * __pyx_v_A.strides[1]) )))); + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":599 + * + * # get item aspect opinion element + * idx = rng_pos_iao.generate(thread_id) # <<<<<<<<<<<<<< + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_iao->__pyx_vtab)->generate(__pyx_v_rng_pos_iao, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":600 + * # get item aspect opinion element + * idx = rng_pos_iao.generate(thread_id) + * i_idx = YI_iids[idx] # <<<<<<<<<<<<<< + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i_idx = (*((short *) ( /* dim=0 */ (__pyx_v_YI_iids.data + __pyx_t_24 * __pyx_v_YI_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":601 + * idx = rng_pos_iao.generate(thread_id) + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] # <<<<<<<<<<<<<< + * o_idx = YI_oids[idx] + * score = YI[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_a_idx = (*((short *) ( /* dim=0 */ (__pyx_v_YI_aids.data + __pyx_t_24 * __pyx_v_YI_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":602 + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] # <<<<<<<<<<<<<< + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_o_idx = (*((short *) ( /* dim=0 */ (__pyx_v_YI_oids.data + __pyx_t_24 * __pyx_v_YI_oids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":603 + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] + * score = YI[idx] # <<<<<<<<<<<<<< + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_YI.data + __pyx_t_24 * __pyx_v_YI.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":604 + * o_idx = YI_oids[idx] + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G3, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_I, __pyx_v_A, __pyx_v_O, __pyx_v_i_idx, __pyx_v_a_idx, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":605 + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":607 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":608 + * + * del_sqerror = 2 * (pred - score) + * for i in range(n_item_factors): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + */ + __pyx_t_3 = __pyx_v_n_item_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":609 + * del_sqerror = 2 * (pred - score) + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_12 = __pyx_v_n_aspect_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":610 + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_15 = __pyx_v_n_opinion_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":611 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + */ + __pyx_t_24 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_o_idx; + __pyx_t_20 = __pyx_v_k; + __pyx_t_21 = __pyx_v_i; + __pyx_t_22 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_24 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_20 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":612 + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_25 = __pyx_v_j; + __pyx_t_24 = __pyx_v_o_idx; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i_idx; + __pyx_t_21 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_19 * __pyx_v_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_G3.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_24 * __pyx_v_O.strides[0]) ) + __pyx_t_23 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":613 + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + * + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_o_idx; + __pyx_t_20 = __pyx_v_k; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_23 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_25 * __pyx_v_G3.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_20 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":614 + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] # <<<<<<<<<<<<<< + * + * for _ in prange(num_bpr_samples, schedule='guided'): + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_j; + __pyx_t_22 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_o.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_19 * __pyx_v_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_G3.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":616 + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + * + * for _ in prange(num_bpr_samples, schedule='guided'): # <<<<<<<<<<<<<< + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] + */ + __pyx_t_8 = __pyx_v_num_bpr_samples; + if ((1 == 0)) abort(); + { + __pyx_t_4 = (__pyx_t_8 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_4 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_del_bpr) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_i_ij) lastprivate(__pyx_v_i_score) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_j_idx) lastprivate(__pyx_v_j_score) lastprivate(__pyx_v_jdx) lastprivate(__pyx_v_k) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_s) lastprivate(__pyx_v_u_idx) lastprivate(__pyx_v_z) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_4; __pyx_t_7++){ + { + __pyx_v__ = (short)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_del_bpr = ((double)__PYX_NAN()); + __pyx_v_i = ((short)0xbad0bad0); + __pyx_v_i_idx = ((short)0xbad0bad0); + __pyx_v_i_ij = ((double)__PYX_NAN()); + __pyx_v_i_score = ((double)__PYX_NAN()); + __pyx_v_idx = ((short)0xbad0bad0); + __pyx_v_j = ((short)0xbad0bad0); + __pyx_v_j_idx = ((short)0xbad0bad0); + __pyx_v_j_score = ((double)__PYX_NAN()); + __pyx_v_jdx = ((short)0xbad0bad0); + __pyx_v_k = ((short)0xbad0bad0); + __pyx_v_pred = ((double)__PYX_NAN()); + __pyx_v_s = ((long)0xbad0bad0); + __pyx_v_u_idx = ((short)0xbad0bad0); + __pyx_v_z = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":617 + * + * for _ in prange(num_bpr_samples, schedule='guided'): + * idx = rng_pos.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos->__pyx_vtab)->generate(__pyx_v_rng_pos, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":618 + * for _ in prange(num_bpr_samples, schedule='guided'): + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] # <<<<<<<<<<<<<< + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_u_idx = (*((short *) ( /* dim=0 */ (__pyx_v_user_ids.data + __pyx_t_23 * __pyx_v_user_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":619 + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] # <<<<<<<<<<<<<< + * jdx = rng_neg.generate(thread_id) + * j_idx = neg_item_ids[jdx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_i_idx = (*((short *) ( /* dim=0 */ (__pyx_v_item_ids.data + __pyx_t_23 * __pyx_v_item_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":620 + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) # <<<<<<<<<<<<<< + * j_idx = neg_item_ids[jdx] + * + */ + __pyx_v_jdx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_neg->__pyx_vtab)->generate(__pyx_v_rng_neg, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":621 + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) + * j_idx = neg_item_ids[jdx] # <<<<<<<<<<<<<< + * + * s = 1 + */ + __pyx_t_23 = __pyx_v_jdx; + __pyx_v_j_idx = (*((short *) ( /* dim=0 */ (__pyx_v_neg_item_ids.data + __pyx_t_23 * __pyx_v_neg_item_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":623 + * j_idx = neg_item_ids[jdx] + * + * s = 1 # <<<<<<<<<<<<<< + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + */ + __pyx_v_s = 1; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":625 + * s = 1 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): # <<<<<<<<<<<<<< + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + */ + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_26 = (__pyx_fuse_0__pyx_f_6cornac_6models_3bpr_9recom_bpr_has_non_zero(__pyx_v_indptr, __pyx_v_item_ids, (*((short *) ( /* dim=0 */ (__pyx_v_user_ids.data + __pyx_t_23 * __pyx_v_user_ids.strides[0]) ))), __pyx_v_j_idx) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":626 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] # <<<<<<<<<<<<<< + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: + */ + __pyx_v_i_score = (__pyx_v_rating_dict->my_map[__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_v_u_idx, __pyx_v_i_idx)]); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":627 + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] # <<<<<<<<<<<<<< + * if i_score == j_score: + * skipped += 1 + */ + __pyx_v_j_score = (__pyx_v_rating_dict->my_map[__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_v_u_idx, __pyx_v_j_idx)]); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":628 + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: # <<<<<<<<<<<<<< + * skipped += 1 + * continue + */ + __pyx_t_26 = ((__pyx_v_i_score == __pyx_v_j_score) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":629 + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: + * skipped += 1 # <<<<<<<<<<<<<< + * continue + * elif i_score < j_score: + */ + __pyx_v_skipped = (__pyx_v_skipped + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":630 + * if i_score == j_score: + * skipped += 1 + * continue # <<<<<<<<<<<<<< + * elif i_score < j_score: + * s = -1 + */ + goto __pyx_L34_continue; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":628 + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: # <<<<<<<<<<<<<< + * skipped += 1 + * continue + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":631 + * skipped += 1 + * continue + * elif i_score < j_score: # <<<<<<<<<<<<<< + * s = -1 + * + */ + __pyx_t_26 = ((__pyx_v_i_score < __pyx_v_j_score) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":632 + * continue + * elif i_score < j_score: + * s = -1 # <<<<<<<<<<<<<< + * + * pred = ( + */ + __pyx_v_s = -1L; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":631 + * skipped += 1 + * continue + * elif i_score < j_score: # <<<<<<<<<<<<<< + * s = -1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":625 + * s = 1 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): # <<<<<<<<<<<<<< + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":637 + * get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, n_aspects) + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + * ) * s # <<<<<<<<<<<<<< + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + */ + __pyx_v_pred = ((__pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_n_aspects) - __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_j_idx, __pyx_v_n_aspects)) * __pyx_v_s); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":638 + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + * ) * s + * z = (1.0 / (1.0 + exp(pred))) # <<<<<<<<<<<<<< + * if z < .5: + * correct += 1 + */ + __pyx_v_z = (1.0 / (1.0 + exp(__pyx_v_pred))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":639 + * ) * s + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * del_bpr = ld_bpr * z * s + */ + __pyx_t_26 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":640 + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + * correct += 1 # <<<<<<<<<<<<<< + * del_bpr = ld_bpr * z * s + * + */ + __pyx_v_correct = (__pyx_v_correct + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":639 + * ) * s + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * del_bpr = ld_bpr * z * s + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":641 + * if z < .5: + * correct += 1 + * del_bpr = ld_bpr * z * s # <<<<<<<<<<<<<< + * + * bpr_loss += log(1 / (1 + exp(-pred))) + */ + __pyx_v_del_bpr = ((__pyx_v_ld_bpr * __pyx_v_z) * __pyx_v_s); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":643 + * del_bpr = ld_bpr * z * s + * + * bpr_loss += log(1 / (1 + exp(-pred))) # <<<<<<<<<<<<<< + * + * for i in range(n_user_factors): + */ + __pyx_v_bpr_loss = (__pyx_v_bpr_loss + log((1.0 / (1.0 + exp((-__pyx_v_pred)))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":645 + * bpr_loss += log(1 / (1 + exp(-pred))) + * + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":646 + * + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":647 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + */ + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_j_idx; + __pyx_t_9 = __pyx_v_j; + __pyx_v_i_ij = ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_23 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) ))) - (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_25 * __pyx_v_I.strides[0]) ) + __pyx_t_9 * __pyx_v_I.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":648 + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":649 + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + */ + __pyx_t_9 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_n_aspects; + __pyx_t_23 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_20, __pyx_pybuffernd_del_g1.diminfo[2].strides) -= (((__pyx_v_del_bpr * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * __pyx_v_i_ij) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":650 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_9 = __pyx_v_n_aspects; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_u.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_23 * __pyx_v_G1.strides[0]) ) + __pyx_t_24 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * __pyx_v_i_ij) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_20 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":651 + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_18 = __pyx_v_n_aspects; + __pyx_t_19 = __pyx_v_k; + __pyx_t_21 = __pyx_v_i_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":652 + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_n_aspects; + __pyx_t_20 = __pyx_v_k; + __pyx_t_22 = __pyx_v_j_idx; + __pyx_t_21 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_19 * __pyx_v_G1.strides[0]) ) + __pyx_t_18 * __pyx_v_G1.strides[1]) ) + __pyx_t_23 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_20 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":653 + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij # <<<<<<<<<<<<<< + * + * for _ in prange(num_pair_samples, schedule='guided'): + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_18 = __pyx_v_n_aspects; + __pyx_t_19 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * __pyx_v_i_ij); + } + } + } + goto __pyx_L48; + __pyx_L34_continue:; + goto __pyx_L48; + __pyx_L48:; + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":655 + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + * + * for _ in prange(num_pair_samples, schedule='guided'): # <<<<<<<<<<<<<< + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] + */ + __pyx_t_4 = __pyx_v_num_pair_samples; + if ((1 == 0)) abort(); + { + __pyx_t_8 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_8 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_a_idx) lastprivate(__pyx_v_a_ji) lastprivate(__pyx_v_del_aspect_bpr) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_j_idx) lastprivate(__pyx_v_k) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_u_idx) lastprivate(__pyx_v_z) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_8; __pyx_t_7++){ + { + __pyx_v__ = (short)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_a_idx = ((short)0xbad0bad0); + __pyx_v_a_ji = ((double)__PYX_NAN()); + __pyx_v_del_aspect_bpr = ((double)__PYX_NAN()); + __pyx_v_i = ((short)0xbad0bad0); + __pyx_v_i_idx = ((short)0xbad0bad0); + __pyx_v_idx = ((short)0xbad0bad0); + __pyx_v_j = ((short)0xbad0bad0); + __pyx_v_j_idx = ((short)0xbad0bad0); + __pyx_v_k = ((short)0xbad0bad0); + __pyx_v_pred = ((double)__PYX_NAN()); + __pyx_v_u_idx = ((short)0xbad0bad0); + __pyx_v_z = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":656 + * + * for _ in prange(num_pair_samples, schedule='guided'): + * idx = rng_pos_pair.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_pair->__pyx_vtab)->generate(__pyx_v_rng_pos_pair, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":657 + * for _ in prange(num_pair_samples, schedule='guided'): + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] # <<<<<<<<<<<<<< + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_u_idx = (*((short *) ( /* dim=0 */ (__pyx_v_p_user_indices.data + __pyx_t_23 * __pyx_v_p_user_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":658 + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] # <<<<<<<<<<<<<< + * j_idx = later_indices[idx] + * a_idx = aspect_indices[idx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_i_idx = (*((short *) ( /* dim=0 */ (__pyx_v_earlier_indices.data + __pyx_t_23 * __pyx_v_earlier_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":659 + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] # <<<<<<<<<<<<<< + * a_idx = aspect_indices[idx] + * + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_j_idx = (*((short *) ( /* dim=0 */ (__pyx_v_later_indices.data + __pyx_t_23 * __pyx_v_later_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":660 + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] + * a_idx = aspect_indices[idx] # <<<<<<<<<<<<<< + * + * pred = ( + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_a_idx = (*((short *) ( /* dim=0 */ (__pyx_v_aspect_indices.data + __pyx_t_23 * __pyx_v_aspect_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":664 + * pred = ( + * get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, a_idx) + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) # <<<<<<<<<<<<<< + * ) + * + */ + __pyx_v_pred = (__pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_j_idx, __pyx_v_a_idx) - __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_a_idx)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":667 + * ) + * + * z = (1.0 / (1.0 + exp(pred))) # <<<<<<<<<<<<<< + * if z < .5: + * aspect_correct += 1 + */ + __pyx_v_z = (1.0 / (1.0 + exp(__pyx_v_pred))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":668 + * + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * aspect_correct += 1 + * + */ + __pyx_t_26 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":669 + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + * aspect_correct += 1 # <<<<<<<<<<<<<< + * + * del_aspect_bpr = lambda_d * z + */ + __pyx_v_aspect_correct = (__pyx_v_aspect_correct + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":668 + * + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * aspect_correct += 1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":671 + * aspect_correct += 1 + * + * del_aspect_bpr = lambda_d * z # <<<<<<<<<<<<<< + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): + */ + __pyx_v_del_aspect_bpr = (__pyx_v_lambda_d * __pyx_v_z); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":672 + * + * del_aspect_bpr = lambda_d * z + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) # <<<<<<<<<<<<<< + * for i in range(n_user_factors): + * for j in range(n_item_factors): + */ + __pyx_v_aspect_bpr_loss = (__pyx_v_aspect_bpr_loss + log((1.0 / (1.0 + exp((-__pyx_v_pred)))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":673 + * del_aspect_bpr = lambda_d * z + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":674 + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":675 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + */ + __pyx_t_23 = __pyx_v_j_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i_idx; + __pyx_t_9 = __pyx_v_j; + __pyx_v_a_ji = ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_23 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) ))) - (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_25 * __pyx_v_I.strides[0]) ) + __pyx_t_9 * __pyx_v_I.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":676 + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":677 + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_9 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g1.diminfo[2].strides) -= (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * __pyx_v_a_ji) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":678 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_20 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_20, __pyx_pybuffernd_del_u.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_23 * __pyx_v_G1.strides[0]) ) + __pyx_t_24 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * __pyx_v_a_ji) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":679 + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_20 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_k; + __pyx_t_21 = __pyx_v_j_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_20 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":680 + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i_idx; + __pyx_t_21 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_19 * __pyx_v_G1.strides[0]) ) + __pyx_t_20 * __pyx_v_G1.strides[1]) ) + __pyx_t_23 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":681 + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji # <<<<<<<<<<<<<< + * + * # update params with AdaGrad + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_20 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * __pyx_v_a_ji); + } + } + } + } + } + } + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":558 + * del_a_reg.fill(0) + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L5; + } + __pyx_L5:; + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":684 + * + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_27, __pyx_t_3, __pyx_t_9) num_threads(__pyx_v_n_threads) + #endif /* _OPENMP */ + { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":685 + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): + * for i in prange(n_user_factors, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_users): + * if del_u[j, i] != 0: + */ + __pyx_t_3 = __pyx_v_n_user_factors; + if ((1 == 0)) abort(); + { + __pyx_t_12 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_12 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_12; __pyx_t_10++){ + { + __pyx_v_i = (short)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((short)0xbad0bad0); + __pyx_v_k = ((short)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":686 + * with nogil, parallel(num_threads=n_threads): + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): # <<<<<<<<<<<<<< + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + */ + __pyx_t_13 = __pyx_v_n_users; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":687 + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + * if del_u[j, i] != 0: # <<<<<<<<<<<<<< + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + */ + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":688 + * for j in range(n_users): + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] # <<<<<<<<<<<<<< + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + */ + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_u_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":687 + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + * if del_u[j, i] != 0: # <<<<<<<<<<<<<< + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":689 + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] # <<<<<<<<<<<<<< + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: + */ + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_U.data + __pyx_t_19 * __pyx_v_sgrad_U.strides[0]) ) + __pyx_t_18 * __pyx_v_sgrad_U.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_u_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_u_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":690 + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] # <<<<<<<<<<<<<< + * if U[j, i] < 0: + * U[j, i] = 0 + */ + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_19 * __pyx_v_U.strides[1]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_U.data + __pyx_t_24 * __pyx_v_sgrad_U.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_U.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_u_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":691 + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: # <<<<<<<<<<<<<< + * U[j, i] = 0 + * + */ + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_26 = (((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":692 + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: + * U[j, i] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_item_factors): + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":691 + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: # <<<<<<<<<<<<<< + * U[j, i] = 0 + * + */ + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":694 + * U[j, i] = 0 + * + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: + */ + __pyx_t_13 = __pyx_v_n_item_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":695 + * + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + */ + __pyx_t_16 = __pyx_v_n_aspect_factors; + __pyx_t_27 = __pyx_t_16; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_27; __pyx_t_14+=1) { + __pyx_v_k = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":696 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + */ + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":697 + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_22, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_9, __pyx_pybuffernd_del_g1.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_24 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":696 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":698 + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] # <<<<<<<<<<<<<< + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G1.data + __pyx_t_22 * __pyx_v_sgrad_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_sgrad_G1.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":699 + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] # <<<<<<<<<<<<<< + * if G1[i, j, k] < 0: + * G1[i, j, k] = 0 + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_22 * __pyx_v_G1.strides[2]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G1.data + __pyx_t_23 * __pyx_v_sgrad_G1.strides[0]) ) + __pyx_t_25 * __pyx_v_sgrad_G1.strides[1]) ) + __pyx_t_9 * __pyx_v_sgrad_G1.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":700 + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: # <<<<<<<<<<<<<< + * G1[i, j, k] = 0 + * + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = (((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_24 * __pyx_v_G1.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":701 + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: + * G1[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_aspect_factors): + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_24 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":700 + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: # <<<<<<<<<<<<<< + * G1[i, j, k] = 0 + * + */ + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":703 + * G1[i, j, k] = 0 + * + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":704 + * + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + */ + __pyx_t_16 = __pyx_v_n_opinion_factors; + __pyx_t_27 = __pyx_t_16; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_27; __pyx_t_14+=1) { + __pyx_v_k = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":705 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":706 + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_20, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g2.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_9 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_23 * __pyx_v_G2.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":705 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":707 + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] # <<<<<<<<<<<<<< + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G2.data + __pyx_t_20 * __pyx_v_sgrad_G2.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G2.strides[1]) ) + __pyx_t_22 * __pyx_v_sgrad_G2.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_9, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":708 + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] # <<<<<<<<<<<<<< + * if G2[i, j, k] < 0: + * G2[i, j, k] = 0 + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_22 * __pyx_v_G2.strides[0]) ) + __pyx_t_21 * __pyx_v_G2.strides[1]) ) + __pyx_t_20 * __pyx_v_G2.strides[2]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G2.data + __pyx_t_24 * __pyx_v_sgrad_G2.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_G2.strides[1]) ) + __pyx_t_18 * __pyx_v_sgrad_G2.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":709 + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: # <<<<<<<<<<<<<< + * G2[i, j, k] = 0 + * + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_26 = (((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_23 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_9 * __pyx_v_G2.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":710 + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: + * G2[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_item_factors, schedule='guided'): + */ + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_9 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_23 * __pyx_v_G2.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":709 + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: # <<<<<<<<<<<<<< + * G2[i, j, k] = 0 + * + */ + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":712 + * G2[i, j, k] = 0 + * + * for i in prange(n_item_factors, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_items): + * if del_i[j, i] != 0: + */ + __pyx_t_12 = __pyx_v_n_item_factors; + if ((1 == 0)) abort(); + { + __pyx_t_3 = (__pyx_t_12 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_3 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_3; __pyx_t_10++){ + { + __pyx_v_i = (short)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((short)0xbad0bad0); + __pyx_v_k = ((short)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":713 + * + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): # <<<<<<<<<<<<<< + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + */ + __pyx_t_13 = __pyx_v_n_items; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":714 + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): + * if del_i[j, i] != 0: # <<<<<<<<<<<<<< + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + */ + __pyx_t_23 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_i.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":715 + * for j in range(n_items): + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] # <<<<<<<<<<<<<< + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_i_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":714 + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): + * if del_i[j, i] != 0: # <<<<<<<<<<<<<< + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":716 + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] # <<<<<<<<<<<<<< + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: + */ + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_I.data + __pyx_t_24 * __pyx_v_sgrad_I.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_I.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_i_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_i_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":717 + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] # <<<<<<<<<<<<<< + * if I[j, i] < 0: + * I[j, i] = 0 + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_I.data + __pyx_t_25 * __pyx_v_sgrad_I.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_I.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_i_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":718 + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: # <<<<<<<<<<<<<< + * I[j, i] = 0 + * + */ + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_26 = (((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_18 * __pyx_v_I.strides[0]) ) + __pyx_t_9 * __pyx_v_I.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":719 + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: + * I[j, i] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_aspect_factors): + */ + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":718 + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: # <<<<<<<<<<<<<< + * I[j, i] = 0 + * + */ + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":721 + * I[j, i] = 0 + * + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":722 + * + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + */ + __pyx_t_16 = __pyx_v_n_opinion_factors; + __pyx_t_27 = __pyx_t_16; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_27; __pyx_t_14+=1) { + __pyx_v_k = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":723 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":724 + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_22, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g3.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_25 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_19 * __pyx_v_G3.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":723 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":725 + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] # <<<<<<<<<<<<<< + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G3.data + __pyx_t_22 * __pyx_v_sgrad_G3.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G3.strides[1]) ) + __pyx_t_20 * __pyx_v_sgrad_G3.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_25, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":726 + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] # <<<<<<<<<<<<<< + * if G3[i, j, k] < 0: + * G3[i, j, k] = 0 + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_21 * __pyx_v_G3.strides[1]) ) + __pyx_t_22 * __pyx_v_G3.strides[2]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G3.data + __pyx_t_23 * __pyx_v_sgrad_G3.strides[0]) ) + __pyx_t_9 * __pyx_v_sgrad_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_sgrad_G3.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_19, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":727 + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: # <<<<<<<<<<<<<< + * G3[i, j, k] = 0 + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_26 = (((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_19 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_25 * __pyx_v_G3.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":728 + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: + * G3[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_aspects + 1, schedule='guided'): + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_25 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_19 * __pyx_v_G3.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":727 + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: # <<<<<<<<<<<<<< + * G3[i, j, k] = 0 + * + */ + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":730 + * G3[i, j, k] = 0 + * + * for i in prange(n_aspects + 1, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: + */ + __pyx_t_3 = (__pyx_v_n_aspects + 1); + if ((1 == 0)) abort(); + { + __pyx_t_12 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_12 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_12; __pyx_t_10++){ + { + __pyx_v_i = (short)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((short)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":731 + * + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":732 + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: # <<<<<<<<<<<<<< + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":733 + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] # <<<<<<<<<<<<<< + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":732 + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: # <<<<<<<<<<<<<< + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":734 + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] # <<<<<<<<<<<<<< + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_A.data + __pyx_t_23 * __pyx_v_sgrad_A.strides[0]) ) + __pyx_t_9 * __pyx_v_sgrad_A.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_a_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_a_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":735 + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] # <<<<<<<<<<<<<< + * if A[i, j] < 0: + * A[i, j] = 0 + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_A.data + __pyx_t_24 * __pyx_v_sgrad_A.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_A.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_a_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":736 + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: # <<<<<<<<<<<<<< + * A[i, j] = 0 + * + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_26 = (((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":737 + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: + * A[i, j] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_opinions, schedule='guided'): + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":736 + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: # <<<<<<<<<<<<<< + * A[i, j] = 0 + * + */ + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":739 + * A[i, j] = 0 + * + * for i in prange(n_opinions, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: + */ + __pyx_t_12 = __pyx_v_n_opinions; + if ((1 == 0)) abort(); + { + __pyx_t_3 = (__pyx_t_12 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_3 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_3; __pyx_t_10++){ + { + __pyx_v_i = (short)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((short)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":740 + * + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + */ + __pyx_t_13 = __pyx_v_n_opinion_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_15; __pyx_t_11+=1) { + __pyx_v_j = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":741 + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: # <<<<<<<<<<<<<< + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_o.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":742 + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] # <<<<<<<<<<<<<< + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_o_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_o.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":741 + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: # <<<<<<<<<<<<<< + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":743 + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] # <<<<<<<<<<<<<< + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_O.data + __pyx_t_9 * __pyx_v_sgrad_O.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_O.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_o_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_o_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":744 + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] # <<<<<<<<<<<<<< + * if O[i, j] < 0: + * O[i, j] = 0 + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_23 * __pyx_v_O.strides[0]) ) + __pyx_t_9 * __pyx_v_O.strides[1]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_O.data + __pyx_t_25 * __pyx_v_sgrad_O.strides[0]) ) + __pyx_t_18 * __pyx_v_sgrad_O.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_o_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":745 + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: # <<<<<<<<<<<<<< + * O[i, j] = 0 + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_26 = (((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_24 * __pyx_v_O.strides[0]) ) + __pyx_t_19 * __pyx_v_O.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":746 + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: + * O[i, j] = 0 # <<<<<<<<<<<<<< + * + * return correct, skipped, loss, bpr_loss + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":745 + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: # <<<<<<<<<<<<<< + * O[i, j] = 0 + * + */ + } + } + } + } + } + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":684 + * + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L66; + } + __pyx_L66:; + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":748 + * O[i, j] = 0 + * + * return correct, skipped, loss, bpr_loss # <<<<<<<<<<<<<< + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyInt_From_long(__pyx_v_correct); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_From_long(__pyx_v_skipped); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_28 = PyFloat_FromDouble(__pyx_v_bpr_loss); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_28); + __pyx_t_29 = PyTuple_New(4); if (unlikely(!__pyx_t_29)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_29); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_29, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_29, 1, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_29, 2, __pyx_t_6); + __Pyx_GIVEREF(__pyx_t_28); + PyTuple_SET_ITEM(__pyx_t_29, 3, __pyx_t_28); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_6 = 0; + __pyx_t_28 = 0; + __pyx_r = __pyx_t_29; + __pyx_t_29 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":475 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_mter( # <<<<<<<<<<<<<< + * self, + * RNGVector rng_pos_uia, + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_28); + __Pyx_XDECREF(__pyx_t_29); + { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer); + __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._fit_mter", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + goto __pyx_L2; + __pyx_L0:; + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer); + __pyx_L2:; + __PYX_XDEC_MEMVIEW(&__pyx_v_X, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_oids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_oids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_user_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_item_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_neg_item_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_indptr, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_p_user_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_earlier_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_later_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_aspect_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_pair_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G3, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_I, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_O, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G3, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_U, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_I, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_O, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_1_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_21_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_1_1__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_21_fit_mter = {"__pyx_fuse_1_1_fit_mter", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_1_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_21_fit_mter, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_10_fit_mter}; +static PyObject *__pyx_fuse_1_1__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_21_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg = 0; + int __pyx_v_n_threads; + __Pyx_memviewslice __pyx_v_X = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_oids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_oids = { 0, 0, { 0 }, { 0 }, { 0 } }; + struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict = 0; + __Pyx_memviewslice __pyx_v_user_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_item_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_neg_item_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_indptr = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_p_user_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_earlier_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_later_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_aspect_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G3 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_I = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_O = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G3 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_U = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_I = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_O = { 0, 0, { 0 }, { 0 }, { 0 } }; + PyArrayObject *__pyx_v_del_g1 = 0; + PyArrayObject *__pyx_v_del_g2 = 0; + PyArrayObject *__pyx_v_del_g3 = 0; + PyArrayObject *__pyx_v_del_u = 0; + PyArrayObject *__pyx_v_del_i = 0; + PyArrayObject *__pyx_v_del_a = 0; + PyArrayObject *__pyx_v_del_o = 0; + PyArrayObject *__pyx_v_del_g1_reg = 0; + PyArrayObject *__pyx_v_del_g2_reg = 0; + PyArrayObject *__pyx_v_del_g3_reg = 0; + PyArrayObject *__pyx_v_del_u_reg = 0; + PyArrayObject *__pyx_v_del_i_reg = 0; + PyArrayObject *__pyx_v_del_a_reg = 0; + PyArrayObject *__pyx_v_del_o_reg = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_fit_mter (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_rng_pos_uia,&__pyx_n_s_rng_pos_uao,&__pyx_n_s_rng_pos_iao,&__pyx_n_s_rng_pos_pair,&__pyx_n_s_rng_pos,&__pyx_n_s_rng_neg,&__pyx_n_s_n_threads,&__pyx_n_s_X,&__pyx_n_s_X_uids,&__pyx_n_s_X_iids,&__pyx_n_s_X_aids,&__pyx_n_s_YU,&__pyx_n_s_YU_uids,&__pyx_n_s_YU_aids,&__pyx_n_s_YU_oids,&__pyx_n_s_YI,&__pyx_n_s_YI_iids,&__pyx_n_s_YI_aids,&__pyx_n_s_YI_oids,&__pyx_n_s_rating_dict,&__pyx_n_s_user_ids,&__pyx_n_s_item_ids,&__pyx_n_s_neg_item_ids,&__pyx_n_s_indptr,&__pyx_n_s_p_user_indices,&__pyx_n_s_earlier_indices,&__pyx_n_s_later_indices,&__pyx_n_s_aspect_indices,&__pyx_n_s_pair_counts,&__pyx_n_s_G1,&__pyx_n_s_G2,&__pyx_n_s_G3,&__pyx_n_s_U,&__pyx_n_s_I,&__pyx_n_s_A,&__pyx_n_s_O,&__pyx_n_s_sgrad_G1,&__pyx_n_s_sgrad_G2,&__pyx_n_s_sgrad_G3,&__pyx_n_s_sgrad_U,&__pyx_n_s_sgrad_I,&__pyx_n_s_sgrad_A,&__pyx_n_s_sgrad_O,&__pyx_n_s_del_g1,&__pyx_n_s_del_g2,&__pyx_n_s_del_g3,&__pyx_n_s_del_u,&__pyx_n_s_del_i,&__pyx_n_s_del_a,&__pyx_n_s_del_o,&__pyx_n_s_del_g1_reg,&__pyx_n_s_del_g2_reg,&__pyx_n_s_del_g3_reg,&__pyx_n_s_del_u_reg,&__pyx_n_s_del_i_reg,&__pyx_n_s_del_a_reg,&__pyx_n_s_del_o_reg,0}; + PyObject* values[58] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 58: values[57] = PyTuple_GET_ITEM(__pyx_args, 57); + CYTHON_FALLTHROUGH; + case 57: values[56] = PyTuple_GET_ITEM(__pyx_args, 56); + CYTHON_FALLTHROUGH; + case 56: values[55] = PyTuple_GET_ITEM(__pyx_args, 55); + CYTHON_FALLTHROUGH; + case 55: values[54] = PyTuple_GET_ITEM(__pyx_args, 54); + CYTHON_FALLTHROUGH; + case 54: values[53] = PyTuple_GET_ITEM(__pyx_args, 53); + CYTHON_FALLTHROUGH; + case 53: values[52] = PyTuple_GET_ITEM(__pyx_args, 52); + CYTHON_FALLTHROUGH; + case 52: values[51] = PyTuple_GET_ITEM(__pyx_args, 51); + CYTHON_FALLTHROUGH; + case 51: values[50] = PyTuple_GET_ITEM(__pyx_args, 50); + CYTHON_FALLTHROUGH; + case 50: values[49] = PyTuple_GET_ITEM(__pyx_args, 49); + CYTHON_FALLTHROUGH; + case 49: values[48] = PyTuple_GET_ITEM(__pyx_args, 48); + CYTHON_FALLTHROUGH; + case 48: values[47] = PyTuple_GET_ITEM(__pyx_args, 47); + CYTHON_FALLTHROUGH; + case 47: values[46] = PyTuple_GET_ITEM(__pyx_args, 46); + CYTHON_FALLTHROUGH; + case 46: values[45] = PyTuple_GET_ITEM(__pyx_args, 45); + CYTHON_FALLTHROUGH; + case 45: values[44] = PyTuple_GET_ITEM(__pyx_args, 44); + CYTHON_FALLTHROUGH; + case 44: values[43] = PyTuple_GET_ITEM(__pyx_args, 43); + CYTHON_FALLTHROUGH; + case 43: values[42] = PyTuple_GET_ITEM(__pyx_args, 42); + CYTHON_FALLTHROUGH; + case 42: values[41] = PyTuple_GET_ITEM(__pyx_args, 41); + CYTHON_FALLTHROUGH; + case 41: values[40] = PyTuple_GET_ITEM(__pyx_args, 40); + CYTHON_FALLTHROUGH; + case 40: values[39] = PyTuple_GET_ITEM(__pyx_args, 39); + CYTHON_FALLTHROUGH; + case 39: values[38] = PyTuple_GET_ITEM(__pyx_args, 38); + CYTHON_FALLTHROUGH; + case 38: values[37] = PyTuple_GET_ITEM(__pyx_args, 37); + CYTHON_FALLTHROUGH; + case 37: values[36] = PyTuple_GET_ITEM(__pyx_args, 36); + CYTHON_FALLTHROUGH; + case 36: values[35] = PyTuple_GET_ITEM(__pyx_args, 35); + CYTHON_FALLTHROUGH; + case 35: values[34] = PyTuple_GET_ITEM(__pyx_args, 34); + CYTHON_FALLTHROUGH; + case 34: values[33] = PyTuple_GET_ITEM(__pyx_args, 33); + CYTHON_FALLTHROUGH; + case 33: values[32] = PyTuple_GET_ITEM(__pyx_args, 32); + CYTHON_FALLTHROUGH; + case 32: values[31] = PyTuple_GET_ITEM(__pyx_args, 31); + CYTHON_FALLTHROUGH; + case 31: values[30] = PyTuple_GET_ITEM(__pyx_args, 30); + CYTHON_FALLTHROUGH; + case 30: values[29] = PyTuple_GET_ITEM(__pyx_args, 29); + CYTHON_FALLTHROUGH; + case 29: values[28] = PyTuple_GET_ITEM(__pyx_args, 28); + CYTHON_FALLTHROUGH; + case 28: values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + CYTHON_FALLTHROUGH; + case 27: values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + CYTHON_FALLTHROUGH; + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_uia)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 1); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_uao)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 2); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_iao)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 3); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_pair)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 4); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 5); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_neg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 6); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 7); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 8); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 9); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 10: + if (likely((values[10] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 10); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 11: + if (likely((values[11] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 11); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 12: + if (likely((values[12] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 12); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 13: + if (likely((values[13] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 13); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 14: + if (likely((values[14] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 14); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 15: + if (likely((values[15] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_oids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 15); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 16: + if (likely((values[16] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 16); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 17: + if (likely((values[17] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 17); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 18: + if (likely((values[18] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 18); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 19: + if (likely((values[19] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_oids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 19); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 20: + if (likely((values[20] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rating_dict)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 20); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 21: + if (likely((values[21] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_user_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 21); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 22: + if (likely((values[22] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_item_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 22); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 23: + if (likely((values[23] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neg_item_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 23); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 24: + if (likely((values[24] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_indptr)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 24); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 25: + if (likely((values[25] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_p_user_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 25); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 26: + if (likely((values[26] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_earlier_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 26); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 27: + if (likely((values[27] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_later_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 27); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 28: + if (likely((values[28] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_aspect_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 28); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 29: + if (likely((values[29] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pair_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 29); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 30: + if (likely((values[30] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 30); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 31: + if (likely((values[31] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 31); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 32: + if (likely((values[32] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 32); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 33: + if (likely((values[33] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 33); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 34: + if (likely((values[34] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_I)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 34); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 35: + if (likely((values[35] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 35); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 36: + if (likely((values[36] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_O)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 36); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 37: + if (likely((values[37] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 37); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 38: + if (likely((values[38] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 38); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 39: + if (likely((values[39] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 39); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 40: + if (likely((values[40] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_U)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 40); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 41: + if (likely((values[41] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_I)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 41); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 42: + if (likely((values[42] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 42); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 43: + if (likely((values[43] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_O)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 43); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 44: + if (likely((values[44] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 44); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 45: + if (likely((values[45] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 45); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 46: + if (likely((values[46] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 46); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 47: + if (likely((values[47] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_u)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 47); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 48: + if (likely((values[48] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_i)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 48); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 49: + if (likely((values[49] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_a)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 49); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 50: + if (likely((values[50] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_o)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 50); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 51: + if (likely((values[51] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g1_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 51); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 52: + if (likely((values[52] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g2_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 52); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 53: + if (likely((values[53] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g3_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 53); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 54: + if (likely((values[54] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_u_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 54); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 55: + if (likely((values[55] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_i_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 55); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 56: + if (likely((values[56] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_a_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 56); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 57: + if (likely((values[57] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_o_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 57); __PYX_ERR(0, 475, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_fit_mter") < 0)) __PYX_ERR(0, 475, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 58) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + values[28] = PyTuple_GET_ITEM(__pyx_args, 28); + values[29] = PyTuple_GET_ITEM(__pyx_args, 29); + values[30] = PyTuple_GET_ITEM(__pyx_args, 30); + values[31] = PyTuple_GET_ITEM(__pyx_args, 31); + values[32] = PyTuple_GET_ITEM(__pyx_args, 32); + values[33] = PyTuple_GET_ITEM(__pyx_args, 33); + values[34] = PyTuple_GET_ITEM(__pyx_args, 34); + values[35] = PyTuple_GET_ITEM(__pyx_args, 35); + values[36] = PyTuple_GET_ITEM(__pyx_args, 36); + values[37] = PyTuple_GET_ITEM(__pyx_args, 37); + values[38] = PyTuple_GET_ITEM(__pyx_args, 38); + values[39] = PyTuple_GET_ITEM(__pyx_args, 39); + values[40] = PyTuple_GET_ITEM(__pyx_args, 40); + values[41] = PyTuple_GET_ITEM(__pyx_args, 41); + values[42] = PyTuple_GET_ITEM(__pyx_args, 42); + values[43] = PyTuple_GET_ITEM(__pyx_args, 43); + values[44] = PyTuple_GET_ITEM(__pyx_args, 44); + values[45] = PyTuple_GET_ITEM(__pyx_args, 45); + values[46] = PyTuple_GET_ITEM(__pyx_args, 46); + values[47] = PyTuple_GET_ITEM(__pyx_args, 47); + values[48] = PyTuple_GET_ITEM(__pyx_args, 48); + values[49] = PyTuple_GET_ITEM(__pyx_args, 49); + values[50] = PyTuple_GET_ITEM(__pyx_args, 50); + values[51] = PyTuple_GET_ITEM(__pyx_args, 51); + values[52] = PyTuple_GET_ITEM(__pyx_args, 52); + values[53] = PyTuple_GET_ITEM(__pyx_args, 53); + values[54] = PyTuple_GET_ITEM(__pyx_args, 54); + values[55] = PyTuple_GET_ITEM(__pyx_args, 55); + values[56] = PyTuple_GET_ITEM(__pyx_args, 56); + values[57] = PyTuple_GET_ITEM(__pyx_args, 57); + } + __pyx_v_self = values[0]; + __pyx_v_rng_pos_uia = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[1]); + __pyx_v_rng_pos_uao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[2]); + __pyx_v_rng_pos_iao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[3]); + __pyx_v_rng_pos_pair = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[4]); + __pyx_v_rng_pos = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[5]); + __pyx_v_rng_neg = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[6]); + __pyx_v_n_threads = __Pyx_PyInt_As_int(values[7]); if (unlikely((__pyx_v_n_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 483, __pyx_L3_error) + __pyx_v_X = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_uids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[10], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_iids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[11], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_YU = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[12], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[13], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_uids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[14], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_aids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_oids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[15], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_oids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YI = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[16], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[17], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_iids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[18], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_aids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_oids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[19], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_oids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_rating_dict = ((struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *)values[20]); + __pyx_v_user_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[21], PyBUF_WRITABLE); if (unlikely(!__pyx_v_user_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_item_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[22], PyBUF_WRITABLE); if (unlikely(!__pyx_v_item_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_neg_item_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[23], PyBUF_WRITABLE); if (unlikely(!__pyx_v_neg_item_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_indptr = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[24], PyBUF_WRITABLE); if (unlikely(!__pyx_v_indptr.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_p_user_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[25], PyBUF_WRITABLE); if (unlikely(!__pyx_v_p_user_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_earlier_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[26], PyBUF_WRITABLE); if (unlikely(!__pyx_v_earlier_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_later_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[27], PyBUF_WRITABLE); if (unlikely(!__pyx_v_later_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_aspect_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[28], PyBUF_WRITABLE); if (unlikely(!__pyx_v_aspect_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_pair_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_int(values[29], PyBUF_WRITABLE); if (unlikely(!__pyx_v_pair_counts.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_G1 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[30], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G1.memview)) __PYX_ERR(0, 490, __pyx_L3_error) + __pyx_v_G2 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[31], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G2.memview)) __PYX_ERR(0, 491, __pyx_L3_error) + __pyx_v_G3 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[32], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G3.memview)) __PYX_ERR(0, 492, __pyx_L3_error) + __pyx_v_U = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[33], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U.memview)) __PYX_ERR(0, 493, __pyx_L3_error) + __pyx_v_I = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[34], PyBUF_WRITABLE); if (unlikely(!__pyx_v_I.memview)) __PYX_ERR(0, 494, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[35], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 495, __pyx_L3_error) + __pyx_v_O = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[36], PyBUF_WRITABLE); if (unlikely(!__pyx_v_O.memview)) __PYX_ERR(0, 496, __pyx_L3_error) + __pyx_v_sgrad_G1 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[37], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G1.memview)) __PYX_ERR(0, 497, __pyx_L3_error) + __pyx_v_sgrad_G2 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[38], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G2.memview)) __PYX_ERR(0, 498, __pyx_L3_error) + __pyx_v_sgrad_G3 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[39], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G3.memview)) __PYX_ERR(0, 499, __pyx_L3_error) + __pyx_v_sgrad_U = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[40], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_U.memview)) __PYX_ERR(0, 500, __pyx_L3_error) + __pyx_v_sgrad_I = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[41], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_I.memview)) __PYX_ERR(0, 501, __pyx_L3_error) + __pyx_v_sgrad_A = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[42], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_A.memview)) __PYX_ERR(0, 502, __pyx_L3_error) + __pyx_v_sgrad_O = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[43], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_O.memview)) __PYX_ERR(0, 503, __pyx_L3_error) + __pyx_v_del_g1 = ((PyArrayObject *)values[44]); + __pyx_v_del_g2 = ((PyArrayObject *)values[45]); + __pyx_v_del_g3 = ((PyArrayObject *)values[46]); + __pyx_v_del_u = ((PyArrayObject *)values[47]); + __pyx_v_del_i = ((PyArrayObject *)values[48]); + __pyx_v_del_a = ((PyArrayObject *)values[49]); + __pyx_v_del_o = ((PyArrayObject *)values[50]); + __pyx_v_del_g1_reg = ((PyArrayObject *)values[51]); + __pyx_v_del_g2_reg = ((PyArrayObject *)values[52]); + __pyx_v_del_g3_reg = ((PyArrayObject *)values[53]); + __pyx_v_del_u_reg = ((PyArrayObject *)values[54]); + __pyx_v_del_i_reg = ((PyArrayObject *)values[55]); + __pyx_v_del_a_reg = ((PyArrayObject *)values[56]); + __pyx_v_del_o_reg = ((PyArrayObject *)values[57]); + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 475, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._fit_mter", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_uia), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_uia", 0))) __PYX_ERR(0, 477, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_uao), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_uao", 0))) __PYX_ERR(0, 478, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_iao), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_iao", 0))) __PYX_ERR(0, 479, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_pair), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_pair", 0))) __PYX_ERR(0, 480, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos", 0))) __PYX_ERR(0, 481, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_neg), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_neg", 0))) __PYX_ERR(0, 482, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rating_dict), __pyx_ptype_6cornac_5utils_9fast_dict_IntFloatDict, 1, "rating_dict", 0))) __PYX_ERR(0, 487, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g1), __pyx_ptype_5numpy_ndarray, 1, "del_g1", 0))) __PYX_ERR(0, 504, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g2), __pyx_ptype_5numpy_ndarray, 1, "del_g2", 0))) __PYX_ERR(0, 505, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g3), __pyx_ptype_5numpy_ndarray, 1, "del_g3", 0))) __PYX_ERR(0, 506, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_u), __pyx_ptype_5numpy_ndarray, 1, "del_u", 0))) __PYX_ERR(0, 507, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_i), __pyx_ptype_5numpy_ndarray, 1, "del_i", 0))) __PYX_ERR(0, 508, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_a), __pyx_ptype_5numpy_ndarray, 1, "del_a", 0))) __PYX_ERR(0, 509, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_o), __pyx_ptype_5numpy_ndarray, 1, "del_o", 0))) __PYX_ERR(0, 510, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g1_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g1_reg", 0))) __PYX_ERR(0, 511, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g2_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g2_reg", 0))) __PYX_ERR(0, 512, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g3_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g3_reg", 0))) __PYX_ERR(0, 513, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_u_reg), __pyx_ptype_5numpy_ndarray, 1, "del_u_reg", 0))) __PYX_ERR(0, 514, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_i_reg), __pyx_ptype_5numpy_ndarray, 1, "del_i_reg", 0))) __PYX_ERR(0, 515, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_a_reg), __pyx_ptype_5numpy_ndarray, 1, "del_a_reg", 0))) __PYX_ERR(0, 516, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_o_reg), __pyx_ptype_5numpy_ndarray, 1, "del_o_reg", 0))) __PYX_ERR(0, 517, __pyx_L1_error) + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_20_fit_mter(__pyx_self, __pyx_v_self, __pyx_v_rng_pos_uia, __pyx_v_rng_pos_uao, __pyx_v_rng_pos_iao, __pyx_v_rng_pos_pair, __pyx_v_rng_pos, __pyx_v_rng_neg, __pyx_v_n_threads, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_iids, __pyx_v_X_aids, __pyx_v_YU, __pyx_v_YU_uids, __pyx_v_YU_aids, __pyx_v_YU_oids, __pyx_v_YI, __pyx_v_YI_iids, __pyx_v_YI_aids, __pyx_v_YI_oids, __pyx_v_rating_dict, __pyx_v_user_ids, __pyx_v_item_ids, __pyx_v_neg_item_ids, __pyx_v_indptr, __pyx_v_p_user_indices, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_v_G1, __pyx_v_G2, __pyx_v_G3, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_O, __pyx_v_sgrad_G1, __pyx_v_sgrad_G2, __pyx_v_sgrad_G3, __pyx_v_sgrad_U, __pyx_v_sgrad_I, __pyx_v_sgrad_A, __pyx_v_sgrad_O, __pyx_v_del_g1, __pyx_v_del_g2, __pyx_v_del_g3, __pyx_v_del_u, __pyx_v_del_i, __pyx_v_del_a, __pyx_v_del_o, __pyx_v_del_g1_reg, __pyx_v_del_g2_reg, __pyx_v_del_g3_reg, __pyx_v_del_u_reg, __pyx_v_del_i_reg, __pyx_v_del_a_reg, __pyx_v_del_o_reg); + + /* function exit code */ + goto __pyx_L0; + __pyx_L1_error:; + __pyx_r = NULL; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_20_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg, int __pyx_v_n_threads, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_iids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_YU, __Pyx_memviewslice __pyx_v_YU_uids, __Pyx_memviewslice __pyx_v_YU_aids, __Pyx_memviewslice __pyx_v_YU_oids, __Pyx_memviewslice __pyx_v_YI, __Pyx_memviewslice __pyx_v_YI_iids, __Pyx_memviewslice __pyx_v_YI_aids, __Pyx_memviewslice __pyx_v_YI_oids, struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict, __Pyx_memviewslice __pyx_v_user_ids, __Pyx_memviewslice __pyx_v_item_ids, __Pyx_memviewslice __pyx_v_neg_item_ids, __Pyx_memviewslice __pyx_v_indptr, __Pyx_memviewslice __pyx_v_p_user_indices, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_G1, __Pyx_memviewslice __pyx_v_G2, __Pyx_memviewslice __pyx_v_G3, __Pyx_memviewslice __pyx_v_U, __Pyx_memviewslice __pyx_v_I, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_O, __Pyx_memviewslice __pyx_v_sgrad_G1, __Pyx_memviewslice __pyx_v_sgrad_G2, __Pyx_memviewslice __pyx_v_sgrad_G3, __Pyx_memviewslice __pyx_v_sgrad_U, __Pyx_memviewslice __pyx_v_sgrad_I, __Pyx_memviewslice __pyx_v_sgrad_A, __Pyx_memviewslice __pyx_v_sgrad_O, PyArrayObject *__pyx_v_del_g1, PyArrayObject *__pyx_v_del_g2, PyArrayObject *__pyx_v_del_g3, PyArrayObject *__pyx_v_del_u, PyArrayObject *__pyx_v_del_i, PyArrayObject *__pyx_v_del_a, PyArrayObject *__pyx_v_del_o, PyArrayObject *__pyx_v_del_g1_reg, PyArrayObject *__pyx_v_del_g2_reg, PyArrayObject *__pyx_v_del_g3_reg, PyArrayObject *__pyx_v_del_u_reg, PyArrayObject *__pyx_v_del_i_reg, PyArrayObject *__pyx_v_del_a_reg, PyArrayObject *__pyx_v_del_o_reg) { + long __pyx_v_s; + long __pyx_v_correct; + long __pyx_v_skipped; + long __pyx_v_aspect_correct; + long __pyx_v_n_users; + long __pyx_v_n_items; + long __pyx_v_n_aspects; + CYTHON_UNUSED long __pyx_v_n_opinions; + long __pyx_v_n_user_factors; + long __pyx_v_n_item_factors; + long __pyx_v_n_aspect_factors; + long __pyx_v_n_opinion_factors; + CYTHON_UNUSED int __pyx_v_num_samples; + CYTHON_UNUSED int __pyx_v_num_bpr_samples; + CYTHON_UNUSED int __pyx_v_num_pair_samples; + CYTHON_UNUSED int __pyx_v__; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_v_k; + int __pyx_v_idx; + int __pyx_v_jdx; + int __pyx_v_u_idx; + int __pyx_v_i_idx; + int __pyx_v_a_idx; + int __pyx_v_o_idx; + int __pyx_v_j_idx; + int __pyx_v_thread_id; + double __pyx_v_z; + double __pyx_v_score; + double __pyx_v_i_score; + double __pyx_v_j_score; + double __pyx_v_pred; + double __pyx_v_i_ij; + double __pyx_v_a_ji; + double __pyx_v_loss; + double __pyx_v_bpr_loss; + double __pyx_v_aspect_bpr_loss; + double __pyx_v_del_sqerror; + double __pyx_v_del_bpr; + double __pyx_v_del_aspect_bpr; + double __pyx_v_eps; + double __pyx_v_lr; + double __pyx_v_ld_reg; + double __pyx_v_ld_bpr; + double __pyx_v_lambda_d; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_a; + __Pyx_Buffer __pyx_pybuffer_del_a; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_a_reg; + __Pyx_Buffer __pyx_pybuffer_del_a_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g1; + __Pyx_Buffer __pyx_pybuffer_del_g1; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g1_reg; + __Pyx_Buffer __pyx_pybuffer_del_g1_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g2; + __Pyx_Buffer __pyx_pybuffer_del_g2; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g2_reg; + __Pyx_Buffer __pyx_pybuffer_del_g2_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g3; + __Pyx_Buffer __pyx_pybuffer_del_g3; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g3_reg; + __Pyx_Buffer __pyx_pybuffer_del_g3_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_i; + __Pyx_Buffer __pyx_pybuffer_del_i; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_i_reg; + __Pyx_Buffer __pyx_pybuffer_del_i_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_o; + __Pyx_Buffer __pyx_pybuffer_del_o; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_o_reg; + __Pyx_Buffer __pyx_pybuffer_del_o_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_u; + __Pyx_Buffer __pyx_pybuffer_del_u; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_u_reg; + __Pyx_Buffer __pyx_pybuffer_del_u_reg; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + long __pyx_t_3; + int __pyx_t_4; + double __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + int __pyx_t_7; + int __pyx_t_8; + Py_ssize_t __pyx_t_9; + long __pyx_t_10; + int __pyx_t_11; + long __pyx_t_12; + long __pyx_t_13; + int __pyx_t_14; + long __pyx_t_15; + long __pyx_t_16; + int __pyx_t_17; + Py_ssize_t __pyx_t_18; + Py_ssize_t __pyx_t_19; + Py_ssize_t __pyx_t_20; + Py_ssize_t __pyx_t_21; + Py_ssize_t __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + Py_ssize_t __pyx_t_25; + int __pyx_t_26; + long __pyx_t_27; + PyObject *__pyx_t_28 = NULL; + PyObject *__pyx_t_29 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_1_1_fit_mter", 0); + __pyx_pybuffer_del_g1.pybuffer.buf = NULL; + __pyx_pybuffer_del_g1.refcount = 0; + __pyx_pybuffernd_del_g1.data = NULL; + __pyx_pybuffernd_del_g1.rcbuffer = &__pyx_pybuffer_del_g1; + __pyx_pybuffer_del_g2.pybuffer.buf = NULL; + __pyx_pybuffer_del_g2.refcount = 0; + __pyx_pybuffernd_del_g2.data = NULL; + __pyx_pybuffernd_del_g2.rcbuffer = &__pyx_pybuffer_del_g2; + __pyx_pybuffer_del_g3.pybuffer.buf = NULL; + __pyx_pybuffer_del_g3.refcount = 0; + __pyx_pybuffernd_del_g3.data = NULL; + __pyx_pybuffernd_del_g3.rcbuffer = &__pyx_pybuffer_del_g3; + __pyx_pybuffer_del_u.pybuffer.buf = NULL; + __pyx_pybuffer_del_u.refcount = 0; + __pyx_pybuffernd_del_u.data = NULL; + __pyx_pybuffernd_del_u.rcbuffer = &__pyx_pybuffer_del_u; + __pyx_pybuffer_del_i.pybuffer.buf = NULL; + __pyx_pybuffer_del_i.refcount = 0; + __pyx_pybuffernd_del_i.data = NULL; + __pyx_pybuffernd_del_i.rcbuffer = &__pyx_pybuffer_del_i; + __pyx_pybuffer_del_a.pybuffer.buf = NULL; + __pyx_pybuffer_del_a.refcount = 0; + __pyx_pybuffernd_del_a.data = NULL; + __pyx_pybuffernd_del_a.rcbuffer = &__pyx_pybuffer_del_a; + __pyx_pybuffer_del_o.pybuffer.buf = NULL; + __pyx_pybuffer_del_o.refcount = 0; + __pyx_pybuffernd_del_o.data = NULL; + __pyx_pybuffernd_del_o.rcbuffer = &__pyx_pybuffer_del_o; + __pyx_pybuffer_del_g1_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g1_reg.refcount = 0; + __pyx_pybuffernd_del_g1_reg.data = NULL; + __pyx_pybuffernd_del_g1_reg.rcbuffer = &__pyx_pybuffer_del_g1_reg; + __pyx_pybuffer_del_g2_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g2_reg.refcount = 0; + __pyx_pybuffernd_del_g2_reg.data = NULL; + __pyx_pybuffernd_del_g2_reg.rcbuffer = &__pyx_pybuffer_del_g2_reg; + __pyx_pybuffer_del_g3_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g3_reg.refcount = 0; + __pyx_pybuffernd_del_g3_reg.data = NULL; + __pyx_pybuffernd_del_g3_reg.rcbuffer = &__pyx_pybuffer_del_g3_reg; + __pyx_pybuffer_del_u_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_u_reg.refcount = 0; + __pyx_pybuffernd_del_u_reg.data = NULL; + __pyx_pybuffernd_del_u_reg.rcbuffer = &__pyx_pybuffer_del_u_reg; + __pyx_pybuffer_del_i_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_i_reg.refcount = 0; + __pyx_pybuffernd_del_i_reg.data = NULL; + __pyx_pybuffernd_del_i_reg.rcbuffer = &__pyx_pybuffer_del_i_reg; + __pyx_pybuffer_del_a_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_a_reg.refcount = 0; + __pyx_pybuffernd_del_a_reg.data = NULL; + __pyx_pybuffernd_del_a_reg.rcbuffer = &__pyx_pybuffer_del_a_reg; + __pyx_pybuffer_del_o_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_o_reg.refcount = 0; + __pyx_pybuffernd_del_o_reg.data = NULL; + __pyx_pybuffernd_del_o_reg.rcbuffer = &__pyx_pybuffer_del_o_reg; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g1.diminfo[0].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g1.diminfo[0].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g1.diminfo[1].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g1.diminfo[1].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g1.diminfo[2].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g1.diminfo[2].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g2, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g2.diminfo[0].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g2.diminfo[0].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g2.diminfo[1].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g2.diminfo[1].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g2.diminfo[2].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g2.diminfo[2].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g3, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g3.diminfo[0].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g3.diminfo[0].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g3.diminfo[1].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g3.diminfo[1].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g3.diminfo[2].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g3.diminfo[2].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_u, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_u.diminfo[0].strides = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_u.diminfo[0].shape = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_u.diminfo[1].strides = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_u.diminfo[1].shape = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_i, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_i.diminfo[0].strides = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_i.diminfo[0].shape = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_i.diminfo[1].strides = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_i.diminfo[1].shape = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_a, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_a.diminfo[0].strides = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_a.diminfo[0].shape = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_a.diminfo[1].strides = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_a.diminfo[1].shape = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_o, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_o.diminfo[0].strides = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_o.diminfo[0].shape = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_o.diminfo[1].strides = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_o.diminfo[1].shape = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g1_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g1_reg.diminfo[0].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g1_reg.diminfo[0].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g1_reg.diminfo[1].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g1_reg.diminfo[1].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g1_reg.diminfo[2].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g1_reg.diminfo[2].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g2_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g2_reg.diminfo[0].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g2_reg.diminfo[0].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g2_reg.diminfo[1].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g2_reg.diminfo[1].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g2_reg.diminfo[2].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g2_reg.diminfo[2].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g3_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g3_reg.diminfo[0].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g3_reg.diminfo[0].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g3_reg.diminfo[1].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g3_reg.diminfo[1].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g3_reg.diminfo[2].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g3_reg.diminfo[2].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_u_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_u_reg.diminfo[0].strides = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_u_reg.diminfo[0].shape = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_u_reg.diminfo[1].strides = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_u_reg.diminfo[1].shape = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_i_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_i_reg.diminfo[0].strides = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_i_reg.diminfo[0].shape = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_i_reg.diminfo[1].strides = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_i_reg.diminfo[1].shape = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_a_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_a_reg.diminfo[0].strides = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_a_reg.diminfo[0].shape = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_a_reg.diminfo[1].strides = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_a_reg.diminfo[1].shape = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_o_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_o_reg.diminfo[0].strides = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_o_reg.diminfo[0].shape = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_o_reg.diminfo[1].strides = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_o_reg.diminfo[1].shape = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.shape[1]; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":521 + * """ + * cdef: + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 # <<<<<<<<<<<<<< + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items + */ + __pyx_v_correct = 0; + __pyx_v_skipped = 0; + __pyx_v_aspect_correct = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":522 + * cdef: + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + * long n_users = self.train_set.num_users # <<<<<<<<<<<<<< + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_users); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_2); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_n_users = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":523 + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items # <<<<<<<<<<<<<< + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_items); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_items = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":524 + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects # <<<<<<<<<<<<<< + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_aspects = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":525 + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions # <<<<<<<<<<<<<< + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_opinions); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_opinions = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":526 + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors # <<<<<<<<<<<<<< + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_user_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_user_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":527 + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors # <<<<<<<<<<<<<< + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_item_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_item_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":528 + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors # <<<<<<<<<<<<<< + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_aspect_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_aspect_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":529 + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors # <<<<<<<<<<<<<< + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_opinion_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_opinion_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":530 + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples # <<<<<<<<<<<<<< + * int num_bpr_samples = self.n_bpr_samples + * int num_pair_samples = self.n_pair_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_element_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 530, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 530, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":531 + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples # <<<<<<<<<<<<<< + * int num_pair_samples = self.n_pair_samples + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_bpr_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 531, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 531, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_bpr_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":532 + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples + * int num_pair_samples = self.n_pair_samples # <<<<<<<<<<<<<< + * + * integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_pair_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_pair_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":536 + * integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + * floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + * floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr # <<<<<<<<<<<<<< + * floating eps = 1e-9 + * + */ + __pyx_v_loss = 0.; + __pyx_v_bpr_loss = 0.; + __pyx_v_aspect_bpr_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":537 + * floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + * floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr + * floating eps = 1e-9 # <<<<<<<<<<<<<< + * + * floating lr = self.lr + */ + __pyx_v_eps = 1e-9; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":539 + * floating eps = 1e-9 + * + * floating lr = self.lr # <<<<<<<<<<<<<< + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_lr = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":540 + * + * floating lr = self.lr + * floating ld_reg = self.lambda_reg # <<<<<<<<<<<<<< + * floating ld_bpr = self.lambda_bpr + * floating lambda_d = self.lambda_d + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_reg); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_ld_reg = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":541 + * floating lr = self.lr + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr # <<<<<<<<<<<<<< + * floating lambda_d = self.lambda_d + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_bpr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 541, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 541, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_ld_bpr = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":542 + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr + * floating lambda_d = self.lambda_d # <<<<<<<<<<<<<< + * + * del_g1.fill(0) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 542, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 542, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_lambda_d = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":544 + * floating lambda_d = self.lambda_d + * + * del_g1.fill(0) # <<<<<<<<<<<<<< + * del_g2.fill(0) + * del_g3.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g1), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 544, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 544, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":545 + * + * del_g1.fill(0) + * del_g2.fill(0) # <<<<<<<<<<<<<< + * del_g3.fill(0) + * del_u.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g2), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":546 + * del_g1.fill(0) + * del_g2.fill(0) + * del_g3.fill(0) # <<<<<<<<<<<<<< + * del_u.fill(0) + * del_i.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g3), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":547 + * del_g2.fill(0) + * del_g3.fill(0) + * del_u.fill(0) # <<<<<<<<<<<<<< + * del_i.fill(0) + * del_a.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_u), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":548 + * del_g3.fill(0) + * del_u.fill(0) + * del_i.fill(0) # <<<<<<<<<<<<<< + * del_a.fill(0) + * del_o.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_i), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 548, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 548, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":549 + * del_u.fill(0) + * del_i.fill(0) + * del_a.fill(0) # <<<<<<<<<<<<<< + * del_o.fill(0) + * del_g1_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_a), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":550 + * del_i.fill(0) + * del_a.fill(0) + * del_o.fill(0) # <<<<<<<<<<<<<< + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_o), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":551 + * del_a.fill(0) + * del_o.fill(0) + * del_g1_reg.fill(0) # <<<<<<<<<<<<<< + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g1_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":552 + * del_o.fill(0) + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) # <<<<<<<<<<<<<< + * del_g3_reg.fill(0) + * del_u_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g2_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":553 + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) # <<<<<<<<<<<<<< + * del_u_reg.fill(0) + * del_i_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g3_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":554 + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) + * del_u_reg.fill(0) # <<<<<<<<<<<<<< + * del_i_reg.fill(0) + * del_a_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_u_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":555 + * del_g3_reg.fill(0) + * del_u_reg.fill(0) + * del_i_reg.fill(0) # <<<<<<<<<<<<<< + * del_a_reg.fill(0) + * del_o_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_i_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 555, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 555, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":556 + * del_u_reg.fill(0) + * del_i_reg.fill(0) + * del_a_reg.fill(0) # <<<<<<<<<<<<<< + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_a_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":557 + * del_i_reg.fill(0) + * del_a_reg.fill(0) + * del_o_reg.fill(0) # <<<<<<<<<<<<<< + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_o_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":558 + * del_a_reg.fill(0) + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel private(__pyx_v_thread_id) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_bpr_loss) reduction(+:__pyx_v_correct) reduction(+:__pyx_v_skipped) reduction(+:__pyx_v_aspect_bpr_loss) reduction(+:__pyx_v_aspect_correct) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_3, __pyx_t_4, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) + #endif /* _OPENMP */ + { + /* Initialize private variables to invalid values */ + __pyx_v_thread_id = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":559 + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() # <<<<<<<<<<<<<< + * for _ in prange(num_samples, schedule='guided'): + * # get user item aspect element + */ + __pyx_v_thread_id = recom_bpr::get_thread_num(); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":560 + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): # <<<<<<<<<<<<<< + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) + */ + __pyx_t_4 = __pyx_v_num_samples; + if ((1 == 0)) abort(); + { + __pyx_t_8 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_8 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_a_idx) lastprivate(__pyx_v_del_sqerror) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_o_idx) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_score) lastprivate(__pyx_v_u_idx) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_8; __pyx_t_7++){ + { + __pyx_v__ = (int)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_a_idx = ((int)0xbad0bad0); + __pyx_v_del_sqerror = ((double)__PYX_NAN()); + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_i_idx = ((int)0xbad0bad0); + __pyx_v_idx = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_o_idx = ((int)0xbad0bad0); + __pyx_v_pred = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + __pyx_v_u_idx = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":562 + * for _ in prange(num_samples, schedule='guided'): + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_uia->__pyx_vtab)->generate(__pyx_v_rng_pos_uia, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":563 + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) + * u_idx = X_uids[idx] # <<<<<<<<<<<<<< + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_u_idx = (*((int *) ( /* dim=0 */ (__pyx_v_X_uids.data + __pyx_t_9 * __pyx_v_X_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":564 + * idx = rng_pos_uia.generate(thread_id) + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] # <<<<<<<<<<<<<< + * a_idx = X_aids[idx] + * score = X[idx] + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_i_idx = (*((int *) ( /* dim=0 */ (__pyx_v_X_iids.data + __pyx_t_9 * __pyx_v_X_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":565 + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] # <<<<<<<<<<<<<< + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_a_idx = (*((int *) ( /* dim=0 */ (__pyx_v_X_aids.data + __pyx_t_9 * __pyx_v_X_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":566 + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] + * score = X[idx] # <<<<<<<<<<<<<< + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_9 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_X.data + __pyx_t_9 * __pyx_v_X.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":567 + * a_idx = X_aids[idx] + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_a_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":568 + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":570 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * for i in range(n_user_factors): + * for j in range(n_item_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":571 + * + * del_sqerror = 2 * (pred - score) + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":572 + * del_sqerror = 2 * (pred - score) + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":573 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":574 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_9 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_i_idx; + __pyx_t_20 = __pyx_v_j; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_k; + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_18 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_20 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_21 * __pyx_v_A.strides[0]) ) + __pyx_t_22 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":575 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + */ + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_i_idx; + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_22 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":576 + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + * + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_k; + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_24 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_25 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_19 * __pyx_v_U.strides[0]) ) + __pyx_t_20 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_21 * __pyx_v_A.strides[0]) ) + __pyx_t_22 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":577 + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] # <<<<<<<<<<<<<< + * + * # get user aspect opinion element + */ + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_j; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_22 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_19 * __pyx_v_U.strides[0]) ) + __pyx_t_18 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))); + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":580 + * + * # get user aspect opinion element + * idx = rng_pos_uao.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_uao->__pyx_vtab)->generate(__pyx_v_rng_pos_uao, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":581 + * # get user aspect opinion element + * idx = rng_pos_uao.generate(thread_id) + * u_idx = YU_uids[idx] # <<<<<<<<<<<<<< + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_u_idx = (*((int *) ( /* dim=0 */ (__pyx_v_YU_uids.data + __pyx_t_25 * __pyx_v_YU_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":582 + * idx = rng_pos_uao.generate(thread_id) + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] # <<<<<<<<<<<<<< + * o_idx = YU_oids[idx] + * score = YU[idx] + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_a_idx = (*((int *) ( /* dim=0 */ (__pyx_v_YU_aids.data + __pyx_t_25 * __pyx_v_YU_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":583 + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] # <<<<<<<<<<<<<< + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_o_idx = (*((int *) ( /* dim=0 */ (__pyx_v_YU_oids.data + __pyx_t_25 * __pyx_v_YU_oids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":584 + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] + * score = YU[idx] # <<<<<<<<<<<<<< + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_YU.data + __pyx_t_25 * __pyx_v_YU.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":585 + * o_idx = YU_oids[idx] + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G2, __pyx_v_n_user_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_U, __pyx_v_A, __pyx_v_O, __pyx_v_u_idx, __pyx_v_a_idx, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":586 + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":588 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * + * for i in range(n_user_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":590 + * del_sqerror = 2 * (pred - score) + * + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":591 + * + * for i in range(n_user_factors): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_12 = __pyx_v_n_aspect_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":592 + * for i in range(n_user_factors): + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_15 = __pyx_v_n_opinion_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":593 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + */ + __pyx_t_25 = __pyx_v_u_idx; + __pyx_t_9 = __pyx_v_i; + __pyx_t_18 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_j; + __pyx_t_20 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_20 * __pyx_v_O.strides[0]) ) + __pyx_t_21 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":594 + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + */ + __pyx_t_21 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_18 = __pyx_v_a_idx; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_o_idx; + __pyx_t_24 = __pyx_v_k; + __pyx_t_23 = __pyx_v_u_idx; + __pyx_t_22 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_u.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_21 * __pyx_v_G2.strides[0]) ) + __pyx_t_20 * __pyx_v_G2.strides[1]) ) + __pyx_t_19 * __pyx_v_G2.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_9 * __pyx_v_A.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_25 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":595 + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_18 = __pyx_v_u_idx; + __pyx_t_19 = __pyx_v_i; + __pyx_t_20 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + __pyx_t_22 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_24 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_9 * __pyx_v_G2.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_19 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_20 * __pyx_v_O.strides[0]) ) + __pyx_t_21 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":596 + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] # <<<<<<<<<<<<<< + * + * # get item aspect opinion element + */ + __pyx_t_21 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_18 = __pyx_v_u_idx; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_a_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_o_idx; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_o.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_21 * __pyx_v_G2.strides[0]) ) + __pyx_t_20 * __pyx_v_G2.strides[1]) ) + __pyx_t_19 * __pyx_v_G2.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_24 * __pyx_v_A.strides[1]) )))); + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":599 + * + * # get item aspect opinion element + * idx = rng_pos_iao.generate(thread_id) # <<<<<<<<<<<<<< + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_iao->__pyx_vtab)->generate(__pyx_v_rng_pos_iao, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":600 + * # get item aspect opinion element + * idx = rng_pos_iao.generate(thread_id) + * i_idx = YI_iids[idx] # <<<<<<<<<<<<<< + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i_idx = (*((int *) ( /* dim=0 */ (__pyx_v_YI_iids.data + __pyx_t_24 * __pyx_v_YI_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":601 + * idx = rng_pos_iao.generate(thread_id) + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] # <<<<<<<<<<<<<< + * o_idx = YI_oids[idx] + * score = YI[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_a_idx = (*((int *) ( /* dim=0 */ (__pyx_v_YI_aids.data + __pyx_t_24 * __pyx_v_YI_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":602 + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] # <<<<<<<<<<<<<< + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_o_idx = (*((int *) ( /* dim=0 */ (__pyx_v_YI_oids.data + __pyx_t_24 * __pyx_v_YI_oids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":603 + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] + * score = YI[idx] # <<<<<<<<<<<<<< + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_YI.data + __pyx_t_24 * __pyx_v_YI.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":604 + * o_idx = YI_oids[idx] + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G3, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_I, __pyx_v_A, __pyx_v_O, __pyx_v_i_idx, __pyx_v_a_idx, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":605 + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":607 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":608 + * + * del_sqerror = 2 * (pred - score) + * for i in range(n_item_factors): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + */ + __pyx_t_3 = __pyx_v_n_item_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":609 + * del_sqerror = 2 * (pred - score) + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_12 = __pyx_v_n_aspect_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":610 + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_15 = __pyx_v_n_opinion_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":611 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + */ + __pyx_t_24 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_o_idx; + __pyx_t_20 = __pyx_v_k; + __pyx_t_21 = __pyx_v_i; + __pyx_t_22 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_24 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_20 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":612 + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_25 = __pyx_v_j; + __pyx_t_24 = __pyx_v_o_idx; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i_idx; + __pyx_t_21 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_19 * __pyx_v_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_G3.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_24 * __pyx_v_O.strides[0]) ) + __pyx_t_23 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":613 + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + * + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_o_idx; + __pyx_t_20 = __pyx_v_k; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_23 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_25 * __pyx_v_G3.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_20 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":614 + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] # <<<<<<<<<<<<<< + * + * for _ in prange(num_bpr_samples, schedule='guided'): + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_j; + __pyx_t_22 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_o.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_19 * __pyx_v_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_G3.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":616 + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + * + * for _ in prange(num_bpr_samples, schedule='guided'): # <<<<<<<<<<<<<< + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] + */ + __pyx_t_8 = __pyx_v_num_bpr_samples; + if ((1 == 0)) abort(); + { + __pyx_t_4 = (__pyx_t_8 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_4 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_del_bpr) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_i_ij) lastprivate(__pyx_v_i_score) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_j_idx) lastprivate(__pyx_v_j_score) lastprivate(__pyx_v_jdx) lastprivate(__pyx_v_k) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_s) lastprivate(__pyx_v_u_idx) lastprivate(__pyx_v_z) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_4; __pyx_t_7++){ + { + __pyx_v__ = (int)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_del_bpr = ((double)__PYX_NAN()); + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_i_idx = ((int)0xbad0bad0); + __pyx_v_i_ij = ((double)__PYX_NAN()); + __pyx_v_i_score = ((double)__PYX_NAN()); + __pyx_v_idx = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_j_idx = ((int)0xbad0bad0); + __pyx_v_j_score = ((double)__PYX_NAN()); + __pyx_v_jdx = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_pred = ((double)__PYX_NAN()); + __pyx_v_s = ((long)0xbad0bad0); + __pyx_v_u_idx = ((int)0xbad0bad0); + __pyx_v_z = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":617 + * + * for _ in prange(num_bpr_samples, schedule='guided'): + * idx = rng_pos.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos->__pyx_vtab)->generate(__pyx_v_rng_pos, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":618 + * for _ in prange(num_bpr_samples, schedule='guided'): + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] # <<<<<<<<<<<<<< + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_u_idx = (*((int *) ( /* dim=0 */ (__pyx_v_user_ids.data + __pyx_t_23 * __pyx_v_user_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":619 + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] # <<<<<<<<<<<<<< + * jdx = rng_neg.generate(thread_id) + * j_idx = neg_item_ids[jdx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_i_idx = (*((int *) ( /* dim=0 */ (__pyx_v_item_ids.data + __pyx_t_23 * __pyx_v_item_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":620 + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) # <<<<<<<<<<<<<< + * j_idx = neg_item_ids[jdx] + * + */ + __pyx_v_jdx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_neg->__pyx_vtab)->generate(__pyx_v_rng_neg, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":621 + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) + * j_idx = neg_item_ids[jdx] # <<<<<<<<<<<<<< + * + * s = 1 + */ + __pyx_t_23 = __pyx_v_jdx; + __pyx_v_j_idx = (*((int *) ( /* dim=0 */ (__pyx_v_neg_item_ids.data + __pyx_t_23 * __pyx_v_neg_item_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":623 + * j_idx = neg_item_ids[jdx] + * + * s = 1 # <<<<<<<<<<<<<< + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + */ + __pyx_v_s = 1; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":625 + * s = 1 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): # <<<<<<<<<<<<<< + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + */ + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_26 = (__pyx_fuse_1__pyx_f_6cornac_6models_3bpr_9recom_bpr_has_non_zero(__pyx_v_indptr, __pyx_v_item_ids, (*((int *) ( /* dim=0 */ (__pyx_v_user_ids.data + __pyx_t_23 * __pyx_v_user_ids.strides[0]) ))), __pyx_v_j_idx) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":626 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] # <<<<<<<<<<<<<< + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: + */ + __pyx_v_i_score = (__pyx_v_rating_dict->my_map[__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_v_u_idx, __pyx_v_i_idx)]); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":627 + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] # <<<<<<<<<<<<<< + * if i_score == j_score: + * skipped += 1 + */ + __pyx_v_j_score = (__pyx_v_rating_dict->my_map[__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_v_u_idx, __pyx_v_j_idx)]); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":628 + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: # <<<<<<<<<<<<<< + * skipped += 1 + * continue + */ + __pyx_t_26 = ((__pyx_v_i_score == __pyx_v_j_score) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":629 + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: + * skipped += 1 # <<<<<<<<<<<<<< + * continue + * elif i_score < j_score: + */ + __pyx_v_skipped = (__pyx_v_skipped + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":630 + * if i_score == j_score: + * skipped += 1 + * continue # <<<<<<<<<<<<<< + * elif i_score < j_score: + * s = -1 + */ + goto __pyx_L34_continue; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":628 + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: # <<<<<<<<<<<<<< + * skipped += 1 + * continue + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":631 + * skipped += 1 + * continue + * elif i_score < j_score: # <<<<<<<<<<<<<< + * s = -1 + * + */ + __pyx_t_26 = ((__pyx_v_i_score < __pyx_v_j_score) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":632 + * continue + * elif i_score < j_score: + * s = -1 # <<<<<<<<<<<<<< + * + * pred = ( + */ + __pyx_v_s = -1L; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":631 + * skipped += 1 + * continue + * elif i_score < j_score: # <<<<<<<<<<<<<< + * s = -1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":625 + * s = 1 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): # <<<<<<<<<<<<<< + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":637 + * get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, n_aspects) + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + * ) * s # <<<<<<<<<<<<<< + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + */ + __pyx_v_pred = ((__pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_n_aspects) - __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_j_idx, __pyx_v_n_aspects)) * __pyx_v_s); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":638 + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + * ) * s + * z = (1.0 / (1.0 + exp(pred))) # <<<<<<<<<<<<<< + * if z < .5: + * correct += 1 + */ + __pyx_v_z = (1.0 / (1.0 + exp(__pyx_v_pred))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":639 + * ) * s + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * del_bpr = ld_bpr * z * s + */ + __pyx_t_26 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":640 + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + * correct += 1 # <<<<<<<<<<<<<< + * del_bpr = ld_bpr * z * s + * + */ + __pyx_v_correct = (__pyx_v_correct + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":639 + * ) * s + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * del_bpr = ld_bpr * z * s + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":641 + * if z < .5: + * correct += 1 + * del_bpr = ld_bpr * z * s # <<<<<<<<<<<<<< + * + * bpr_loss += log(1 / (1 + exp(-pred))) + */ + __pyx_v_del_bpr = ((__pyx_v_ld_bpr * __pyx_v_z) * __pyx_v_s); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":643 + * del_bpr = ld_bpr * z * s + * + * bpr_loss += log(1 / (1 + exp(-pred))) # <<<<<<<<<<<<<< + * + * for i in range(n_user_factors): + */ + __pyx_v_bpr_loss = (__pyx_v_bpr_loss + log((1.0 / (1.0 + exp((-__pyx_v_pred)))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":645 + * bpr_loss += log(1 / (1 + exp(-pred))) + * + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":646 + * + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":647 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + */ + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_j_idx; + __pyx_t_9 = __pyx_v_j; + __pyx_v_i_ij = ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_23 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) ))) - (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_25 * __pyx_v_I.strides[0]) ) + __pyx_t_9 * __pyx_v_I.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":648 + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":649 + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + */ + __pyx_t_9 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_n_aspects; + __pyx_t_23 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_20, __pyx_pybuffernd_del_g1.diminfo[2].strides) -= (((__pyx_v_del_bpr * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * __pyx_v_i_ij) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":650 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_9 = __pyx_v_n_aspects; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_u.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_23 * __pyx_v_G1.strides[0]) ) + __pyx_t_24 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * __pyx_v_i_ij) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_20 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":651 + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_18 = __pyx_v_n_aspects; + __pyx_t_19 = __pyx_v_k; + __pyx_t_21 = __pyx_v_i_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":652 + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_n_aspects; + __pyx_t_20 = __pyx_v_k; + __pyx_t_22 = __pyx_v_j_idx; + __pyx_t_21 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_19 * __pyx_v_G1.strides[0]) ) + __pyx_t_18 * __pyx_v_G1.strides[1]) ) + __pyx_t_23 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_20 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":653 + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij # <<<<<<<<<<<<<< + * + * for _ in prange(num_pair_samples, schedule='guided'): + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_18 = __pyx_v_n_aspects; + __pyx_t_19 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * __pyx_v_i_ij); + } + } + } + goto __pyx_L48; + __pyx_L34_continue:; + goto __pyx_L48; + __pyx_L48:; + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":655 + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + * + * for _ in prange(num_pair_samples, schedule='guided'): # <<<<<<<<<<<<<< + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] + */ + __pyx_t_4 = __pyx_v_num_pair_samples; + if ((1 == 0)) abort(); + { + __pyx_t_8 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_8 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_a_idx) lastprivate(__pyx_v_a_ji) lastprivate(__pyx_v_del_aspect_bpr) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_j_idx) lastprivate(__pyx_v_k) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_u_idx) lastprivate(__pyx_v_z) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_8; __pyx_t_7++){ + { + __pyx_v__ = (int)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_a_idx = ((int)0xbad0bad0); + __pyx_v_a_ji = ((double)__PYX_NAN()); + __pyx_v_del_aspect_bpr = ((double)__PYX_NAN()); + __pyx_v_i = ((int)0xbad0bad0); + __pyx_v_i_idx = ((int)0xbad0bad0); + __pyx_v_idx = ((int)0xbad0bad0); + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_j_idx = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + __pyx_v_pred = ((double)__PYX_NAN()); + __pyx_v_u_idx = ((int)0xbad0bad0); + __pyx_v_z = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":656 + * + * for _ in prange(num_pair_samples, schedule='guided'): + * idx = rng_pos_pair.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_pair->__pyx_vtab)->generate(__pyx_v_rng_pos_pair, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":657 + * for _ in prange(num_pair_samples, schedule='guided'): + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] # <<<<<<<<<<<<<< + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_u_idx = (*((int *) ( /* dim=0 */ (__pyx_v_p_user_indices.data + __pyx_t_23 * __pyx_v_p_user_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":658 + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] # <<<<<<<<<<<<<< + * j_idx = later_indices[idx] + * a_idx = aspect_indices[idx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_i_idx = (*((int *) ( /* dim=0 */ (__pyx_v_earlier_indices.data + __pyx_t_23 * __pyx_v_earlier_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":659 + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] # <<<<<<<<<<<<<< + * a_idx = aspect_indices[idx] + * + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_j_idx = (*((int *) ( /* dim=0 */ (__pyx_v_later_indices.data + __pyx_t_23 * __pyx_v_later_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":660 + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] + * a_idx = aspect_indices[idx] # <<<<<<<<<<<<<< + * + * pred = ( + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_a_idx = (*((int *) ( /* dim=0 */ (__pyx_v_aspect_indices.data + __pyx_t_23 * __pyx_v_aspect_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":664 + * pred = ( + * get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, a_idx) + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) # <<<<<<<<<<<<<< + * ) + * + */ + __pyx_v_pred = (__pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_j_idx, __pyx_v_a_idx) - __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_a_idx)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":667 + * ) + * + * z = (1.0 / (1.0 + exp(pred))) # <<<<<<<<<<<<<< + * if z < .5: + * aspect_correct += 1 + */ + __pyx_v_z = (1.0 / (1.0 + exp(__pyx_v_pred))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":668 + * + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * aspect_correct += 1 + * + */ + __pyx_t_26 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":669 + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + * aspect_correct += 1 # <<<<<<<<<<<<<< + * + * del_aspect_bpr = lambda_d * z + */ + __pyx_v_aspect_correct = (__pyx_v_aspect_correct + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":668 + * + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * aspect_correct += 1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":671 + * aspect_correct += 1 + * + * del_aspect_bpr = lambda_d * z # <<<<<<<<<<<<<< + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): + */ + __pyx_v_del_aspect_bpr = (__pyx_v_lambda_d * __pyx_v_z); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":672 + * + * del_aspect_bpr = lambda_d * z + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) # <<<<<<<<<<<<<< + * for i in range(n_user_factors): + * for j in range(n_item_factors): + */ + __pyx_v_aspect_bpr_loss = (__pyx_v_aspect_bpr_loss + log((1.0 / (1.0 + exp((-__pyx_v_pred)))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":673 + * del_aspect_bpr = lambda_d * z + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] + */ + __pyx_t_3 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_3; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":674 + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":675 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + */ + __pyx_t_23 = __pyx_v_j_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i_idx; + __pyx_t_9 = __pyx_v_j; + __pyx_v_a_ji = ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_23 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) ))) - (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_25 * __pyx_v_I.strides[0]) ) + __pyx_t_9 * __pyx_v_I.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":676 + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":677 + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_9 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g1.diminfo[2].strides) -= (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * __pyx_v_a_ji) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":678 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_20 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_20, __pyx_pybuffernd_del_u.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_23 * __pyx_v_G1.strides[0]) ) + __pyx_t_24 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * __pyx_v_a_ji) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":679 + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_20 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_k; + __pyx_t_21 = __pyx_v_j_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_20 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":680 + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_9 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i_idx; + __pyx_t_21 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_19 * __pyx_v_G1.strides[0]) ) + __pyx_t_20 * __pyx_v_G1.strides[1]) ) + __pyx_t_23 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":681 + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji # <<<<<<<<<<<<<< + * + * # update params with AdaGrad + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_20 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_9 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * __pyx_v_a_ji); + } + } + } + } + } + } + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":558 + * del_a_reg.fill(0) + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L5; + } + __pyx_L5:; + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":684 + * + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel private(__pyx_t_10, __pyx_t_12, __pyx_t_13, __pyx_t_15, __pyx_t_16, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_27, __pyx_t_3, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) + #endif /* _OPENMP */ + { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":685 + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): + * for i in prange(n_user_factors, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_users): + * if del_u[j, i] != 0: + */ + __pyx_t_3 = __pyx_v_n_user_factors; + if ((1 == 0)) abort(); + { + __pyx_t_12 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_12 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_12; __pyx_t_10++){ + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":686 + * with nogil, parallel(num_threads=n_threads): + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): # <<<<<<<<<<<<<< + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + */ + __pyx_t_13 = __pyx_v_n_users; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":687 + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + * if del_u[j, i] != 0: # <<<<<<<<<<<<<< + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + */ + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":688 + * for j in range(n_users): + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] # <<<<<<<<<<<<<< + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + */ + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_u_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":687 + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + * if del_u[j, i] != 0: # <<<<<<<<<<<<<< + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":689 + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] # <<<<<<<<<<<<<< + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: + */ + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_U.data + __pyx_t_19 * __pyx_v_sgrad_U.strides[0]) ) + __pyx_t_18 * __pyx_v_sgrad_U.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_u_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_u_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":690 + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] # <<<<<<<<<<<<<< + * if U[j, i] < 0: + * U[j, i] = 0 + */ + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_19 * __pyx_v_U.strides[1]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_U.data + __pyx_t_24 * __pyx_v_sgrad_U.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_U.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_u_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":691 + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: # <<<<<<<<<<<<<< + * U[j, i] = 0 + * + */ + __pyx_t_9 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_26 = (((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_9 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":692 + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: + * U[j, i] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_item_factors): + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_9 * __pyx_v_U.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":691 + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: # <<<<<<<<<<<<<< + * U[j, i] = 0 + * + */ + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":694 + * U[j, i] = 0 + * + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: + */ + __pyx_t_13 = __pyx_v_n_item_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":695 + * + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + */ + __pyx_t_16 = __pyx_v_n_aspect_factors; + __pyx_t_27 = __pyx_t_16; + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_27; __pyx_t_7+=1) { + __pyx_v_k = __pyx_t_7; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":696 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + */ + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":697 + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_22, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_9, __pyx_pybuffernd_del_g1.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_24 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":696 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":698 + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] # <<<<<<<<<<<<<< + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G1.data + __pyx_t_22 * __pyx_v_sgrad_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_sgrad_G1.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":699 + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] # <<<<<<<<<<<<<< + * if G1[i, j, k] < 0: + * G1[i, j, k] = 0 + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_22 * __pyx_v_G1.strides[2]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G1.data + __pyx_t_23 * __pyx_v_sgrad_G1.strides[0]) ) + __pyx_t_25 * __pyx_v_sgrad_G1.strides[1]) ) + __pyx_t_9 * __pyx_v_sgrad_G1.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":700 + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: # <<<<<<<<<<<<<< + * G1[i, j, k] = 0 + * + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = (((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_24 * __pyx_v_G1.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":701 + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: + * G1[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_aspect_factors): + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_24 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":700 + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: # <<<<<<<<<<<<<< + * G1[i, j, k] = 0 + * + */ + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":703 + * G1[i, j, k] = 0 + * + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":704 + * + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + */ + __pyx_t_16 = __pyx_v_n_opinion_factors; + __pyx_t_27 = __pyx_t_16; + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_27; __pyx_t_7+=1) { + __pyx_v_k = __pyx_t_7; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":705 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":706 + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_20, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g2.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_9 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_23 * __pyx_v_G2.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":705 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":707 + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] # <<<<<<<<<<<<<< + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G2.data + __pyx_t_20 * __pyx_v_sgrad_G2.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G2.strides[1]) ) + __pyx_t_22 * __pyx_v_sgrad_G2.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_9, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":708 + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] # <<<<<<<<<<<<<< + * if G2[i, j, k] < 0: + * G2[i, j, k] = 0 + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_22 * __pyx_v_G2.strides[0]) ) + __pyx_t_21 * __pyx_v_G2.strides[1]) ) + __pyx_t_20 * __pyx_v_G2.strides[2]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G2.data + __pyx_t_24 * __pyx_v_sgrad_G2.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_G2.strides[1]) ) + __pyx_t_18 * __pyx_v_sgrad_G2.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":709 + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: # <<<<<<<<<<<<<< + * G2[i, j, k] = 0 + * + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_k; + __pyx_t_26 = (((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_23 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_9 * __pyx_v_G2.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":710 + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: + * G2[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_item_factors, schedule='guided'): + */ + __pyx_t_9 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_9 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_23 * __pyx_v_G2.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":709 + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: # <<<<<<<<<<<<<< + * G2[i, j, k] = 0 + * + */ + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":712 + * G2[i, j, k] = 0 + * + * for i in prange(n_item_factors, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_items): + * if del_i[j, i] != 0: + */ + __pyx_t_12 = __pyx_v_n_item_factors; + if ((1 == 0)) abort(); + { + __pyx_t_3 = (__pyx_t_12 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_3 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_3; __pyx_t_10++){ + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + __pyx_v_k = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":713 + * + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): # <<<<<<<<<<<<<< + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + */ + __pyx_t_13 = __pyx_v_n_items; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":714 + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): + * if del_i[j, i] != 0: # <<<<<<<<<<<<<< + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + */ + __pyx_t_23 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_i.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":715 + * for j in range(n_items): + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] # <<<<<<<<<<<<<< + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_i_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":714 + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): + * if del_i[j, i] != 0: # <<<<<<<<<<<<<< + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":716 + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] # <<<<<<<<<<<<<< + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: + */ + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_I.data + __pyx_t_24 * __pyx_v_sgrad_I.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_I.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_i_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_i_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":717 + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] # <<<<<<<<<<<<<< + * if I[j, i] < 0: + * I[j, i] = 0 + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_I.data + __pyx_t_25 * __pyx_v_sgrad_I.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_I.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_i_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":718 + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: # <<<<<<<<<<<<<< + * I[j, i] = 0 + * + */ + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_26 = (((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_18 * __pyx_v_I.strides[0]) ) + __pyx_t_9 * __pyx_v_I.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":719 + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: + * I[j, i] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_aspect_factors): + */ + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_9 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":718 + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: # <<<<<<<<<<<<<< + * I[j, i] = 0 + * + */ + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":721 + * I[j, i] = 0 + * + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":722 + * + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + */ + __pyx_t_16 = __pyx_v_n_opinion_factors; + __pyx_t_27 = __pyx_t_16; + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_27; __pyx_t_7+=1) { + __pyx_v_k = __pyx_t_7; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":723 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":724 + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_22, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g3.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_25 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_19 * __pyx_v_G3.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":723 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":725 + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] # <<<<<<<<<<<<<< + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G3.data + __pyx_t_22 * __pyx_v_sgrad_G3.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G3.strides[1]) ) + __pyx_t_20 * __pyx_v_sgrad_G3.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_25, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":726 + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] # <<<<<<<<<<<<<< + * if G3[i, j, k] < 0: + * G3[i, j, k] = 0 + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_21 * __pyx_v_G3.strides[1]) ) + __pyx_t_22 * __pyx_v_G3.strides[2]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G3.data + __pyx_t_23 * __pyx_v_sgrad_G3.strides[0]) ) + __pyx_t_9 * __pyx_v_sgrad_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_sgrad_G3.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_19, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":727 + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: # <<<<<<<<<<<<<< + * G3[i, j, k] = 0 + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_26 = (((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_19 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_25 * __pyx_v_G3.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":728 + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: + * G3[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_aspects + 1, schedule='guided'): + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_25 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_19 * __pyx_v_G3.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":727 + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: # <<<<<<<<<<<<<< + * G3[i, j, k] = 0 + * + */ + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":730 + * G3[i, j, k] = 0 + * + * for i in prange(n_aspects + 1, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: + */ + __pyx_t_3 = (__pyx_v_n_aspects + 1); + if ((1 == 0)) abort(); + { + __pyx_t_12 = (__pyx_t_3 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_12 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_12; __pyx_t_10++){ + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":731 + * + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":732 + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: # <<<<<<<<<<<<<< + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":733 + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] # <<<<<<<<<<<<<< + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":732 + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: # <<<<<<<<<<<<<< + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":734 + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] # <<<<<<<<<<<<<< + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_A.data + __pyx_t_23 * __pyx_v_sgrad_A.strides[0]) ) + __pyx_t_9 * __pyx_v_sgrad_A.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_a_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_a_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":735 + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] # <<<<<<<<<<<<<< + * if A[i, j] < 0: + * A[i, j] = 0 + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_9 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_A.data + __pyx_t_24 * __pyx_v_sgrad_A.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_A.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_a_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":736 + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: # <<<<<<<<<<<<<< + * A[i, j] = 0 + * + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_26 = (((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":737 + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: + * A[i, j] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_opinions, schedule='guided'): + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":736 + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: # <<<<<<<<<<<<<< + * A[i, j] = 0 + * + */ + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":739 + * A[i, j] = 0 + * + * for i in prange(n_opinions, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: + */ + __pyx_t_12 = __pyx_v_n_opinions; + if ((1 == 0)) abort(); + { + __pyx_t_3 = (__pyx_t_12 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_3 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_3; __pyx_t_10++){ + { + __pyx_v_i = (int)(0 + 1 * __pyx_t_10); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((int)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":740 + * + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + */ + __pyx_t_13 = __pyx_v_n_opinion_factors; + __pyx_t_15 = __pyx_t_13; + for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_15; __pyx_t_8+=1) { + __pyx_v_j = __pyx_t_8; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":741 + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: # <<<<<<<<<<<<<< + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_o.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":742 + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] # <<<<<<<<<<<<<< + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_9, __pyx_pybuffernd_del_o_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_o.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":741 + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: # <<<<<<<<<<<<<< + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":743 + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] # <<<<<<<<<<<<<< + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_9 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_O.data + __pyx_t_9 * __pyx_v_sgrad_O.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_O.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_o_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_o_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":744 + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] # <<<<<<<<<<<<<< + * if O[i, j] < 0: + * O[i, j] = 0 + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_9 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_23 * __pyx_v_O.strides[0]) ) + __pyx_t_9 * __pyx_v_O.strides[1]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_O.data + __pyx_t_25 * __pyx_v_sgrad_O.strides[0]) ) + __pyx_t_18 * __pyx_v_sgrad_O.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_o_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":745 + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: # <<<<<<<<<<<<<< + * O[i, j] = 0 + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_26 = (((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_24 * __pyx_v_O.strides[0]) ) + __pyx_t_19 * __pyx_v_O.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":746 + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: + * O[i, j] = 0 # <<<<<<<<<<<<<< + * + * return correct, skipped, loss, bpr_loss + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":745 + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: # <<<<<<<<<<<<<< + * O[i, j] = 0 + * + */ + } + } + } + } + } + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":684 + * + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L66; + } + __pyx_L66:; + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":748 + * O[i, j] = 0 + * + * return correct, skipped, loss, bpr_loss # <<<<<<<<<<<<<< + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyInt_From_long(__pyx_v_correct); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_From_long(__pyx_v_skipped); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_28 = PyFloat_FromDouble(__pyx_v_bpr_loss); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_28); + __pyx_t_29 = PyTuple_New(4); if (unlikely(!__pyx_t_29)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_29); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_29, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_29, 1, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_29, 2, __pyx_t_6); + __Pyx_GIVEREF(__pyx_t_28); + PyTuple_SET_ITEM(__pyx_t_29, 3, __pyx_t_28); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_6 = 0; + __pyx_t_28 = 0; + __pyx_r = __pyx_t_29; + __pyx_t_29 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":475 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_mter( # <<<<<<<<<<<<<< + * self, + * RNGVector rng_pos_uia, + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_28); + __Pyx_XDECREF(__pyx_t_29); + { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer); + __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._fit_mter", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + goto __pyx_L2; + __pyx_L0:; + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer); + __pyx_L2:; + __PYX_XDEC_MEMVIEW(&__pyx_v_X, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_oids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_oids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_user_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_item_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_neg_item_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_indptr, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_p_user_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_earlier_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_later_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_aspect_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_pair_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G3, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_I, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_O, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G3, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_U, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_I, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_O, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* Python wrapper */ +static PyObject *__pyx_fuse_1_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_23_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_fuse_1_2__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_23_fit_mter = {"__pyx_fuse_1_2_fit_mter", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_1_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_23_fit_mter, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_10_fit_mter}; +static PyObject *__pyx_fuse_1_2__pyx_pw_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_23_fit_mter(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_self = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos = 0; + struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg = 0; + int __pyx_v_n_threads; + __Pyx_memviewslice __pyx_v_X = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_X_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_uids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YU_oids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_iids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_aids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_YI_oids = { 0, 0, { 0 }, { 0 }, { 0 } }; + struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict = 0; + __Pyx_memviewslice __pyx_v_user_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_item_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_neg_item_ids = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_indptr = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_p_user_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_earlier_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_later_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_aspect_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; + CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_G3 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_U = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_I = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_O = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G1 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G2 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_G3 = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_U = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_I = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_A = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_sgrad_O = { 0, 0, { 0 }, { 0 }, { 0 } }; + PyArrayObject *__pyx_v_del_g1 = 0; + PyArrayObject *__pyx_v_del_g2 = 0; + PyArrayObject *__pyx_v_del_g3 = 0; + PyArrayObject *__pyx_v_del_u = 0; + PyArrayObject *__pyx_v_del_i = 0; + PyArrayObject *__pyx_v_del_a = 0; + PyArrayObject *__pyx_v_del_o = 0; + PyArrayObject *__pyx_v_del_g1_reg = 0; + PyArrayObject *__pyx_v_del_g2_reg = 0; + PyArrayObject *__pyx_v_del_g3_reg = 0; + PyArrayObject *__pyx_v_del_u_reg = 0; + PyArrayObject *__pyx_v_del_i_reg = 0; + PyArrayObject *__pyx_v_del_a_reg = 0; + PyArrayObject *__pyx_v_del_o_reg = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("_fit_mter (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_rng_pos_uia,&__pyx_n_s_rng_pos_uao,&__pyx_n_s_rng_pos_iao,&__pyx_n_s_rng_pos_pair,&__pyx_n_s_rng_pos,&__pyx_n_s_rng_neg,&__pyx_n_s_n_threads,&__pyx_n_s_X,&__pyx_n_s_X_uids,&__pyx_n_s_X_iids,&__pyx_n_s_X_aids,&__pyx_n_s_YU,&__pyx_n_s_YU_uids,&__pyx_n_s_YU_aids,&__pyx_n_s_YU_oids,&__pyx_n_s_YI,&__pyx_n_s_YI_iids,&__pyx_n_s_YI_aids,&__pyx_n_s_YI_oids,&__pyx_n_s_rating_dict,&__pyx_n_s_user_ids,&__pyx_n_s_item_ids,&__pyx_n_s_neg_item_ids,&__pyx_n_s_indptr,&__pyx_n_s_p_user_indices,&__pyx_n_s_earlier_indices,&__pyx_n_s_later_indices,&__pyx_n_s_aspect_indices,&__pyx_n_s_pair_counts,&__pyx_n_s_G1,&__pyx_n_s_G2,&__pyx_n_s_G3,&__pyx_n_s_U,&__pyx_n_s_I,&__pyx_n_s_A,&__pyx_n_s_O,&__pyx_n_s_sgrad_G1,&__pyx_n_s_sgrad_G2,&__pyx_n_s_sgrad_G3,&__pyx_n_s_sgrad_U,&__pyx_n_s_sgrad_I,&__pyx_n_s_sgrad_A,&__pyx_n_s_sgrad_O,&__pyx_n_s_del_g1,&__pyx_n_s_del_g2,&__pyx_n_s_del_g3,&__pyx_n_s_del_u,&__pyx_n_s_del_i,&__pyx_n_s_del_a,&__pyx_n_s_del_o,&__pyx_n_s_del_g1_reg,&__pyx_n_s_del_g2_reg,&__pyx_n_s_del_g3_reg,&__pyx_n_s_del_u_reg,&__pyx_n_s_del_i_reg,&__pyx_n_s_del_a_reg,&__pyx_n_s_del_o_reg,0}; + PyObject* values[58] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 58: values[57] = PyTuple_GET_ITEM(__pyx_args, 57); + CYTHON_FALLTHROUGH; + case 57: values[56] = PyTuple_GET_ITEM(__pyx_args, 56); + CYTHON_FALLTHROUGH; + case 56: values[55] = PyTuple_GET_ITEM(__pyx_args, 55); + CYTHON_FALLTHROUGH; + case 55: values[54] = PyTuple_GET_ITEM(__pyx_args, 54); + CYTHON_FALLTHROUGH; + case 54: values[53] = PyTuple_GET_ITEM(__pyx_args, 53); + CYTHON_FALLTHROUGH; + case 53: values[52] = PyTuple_GET_ITEM(__pyx_args, 52); + CYTHON_FALLTHROUGH; + case 52: values[51] = PyTuple_GET_ITEM(__pyx_args, 51); + CYTHON_FALLTHROUGH; + case 51: values[50] = PyTuple_GET_ITEM(__pyx_args, 50); + CYTHON_FALLTHROUGH; + case 50: values[49] = PyTuple_GET_ITEM(__pyx_args, 49); + CYTHON_FALLTHROUGH; + case 49: values[48] = PyTuple_GET_ITEM(__pyx_args, 48); + CYTHON_FALLTHROUGH; + case 48: values[47] = PyTuple_GET_ITEM(__pyx_args, 47); + CYTHON_FALLTHROUGH; + case 47: values[46] = PyTuple_GET_ITEM(__pyx_args, 46); + CYTHON_FALLTHROUGH; + case 46: values[45] = PyTuple_GET_ITEM(__pyx_args, 45); + CYTHON_FALLTHROUGH; + case 45: values[44] = PyTuple_GET_ITEM(__pyx_args, 44); + CYTHON_FALLTHROUGH; + case 44: values[43] = PyTuple_GET_ITEM(__pyx_args, 43); + CYTHON_FALLTHROUGH; + case 43: values[42] = PyTuple_GET_ITEM(__pyx_args, 42); + CYTHON_FALLTHROUGH; + case 42: values[41] = PyTuple_GET_ITEM(__pyx_args, 41); + CYTHON_FALLTHROUGH; + case 41: values[40] = PyTuple_GET_ITEM(__pyx_args, 40); + CYTHON_FALLTHROUGH; + case 40: values[39] = PyTuple_GET_ITEM(__pyx_args, 39); + CYTHON_FALLTHROUGH; + case 39: values[38] = PyTuple_GET_ITEM(__pyx_args, 38); + CYTHON_FALLTHROUGH; + case 38: values[37] = PyTuple_GET_ITEM(__pyx_args, 37); + CYTHON_FALLTHROUGH; + case 37: values[36] = PyTuple_GET_ITEM(__pyx_args, 36); + CYTHON_FALLTHROUGH; + case 36: values[35] = PyTuple_GET_ITEM(__pyx_args, 35); + CYTHON_FALLTHROUGH; + case 35: values[34] = PyTuple_GET_ITEM(__pyx_args, 34); + CYTHON_FALLTHROUGH; + case 34: values[33] = PyTuple_GET_ITEM(__pyx_args, 33); + CYTHON_FALLTHROUGH; + case 33: values[32] = PyTuple_GET_ITEM(__pyx_args, 32); + CYTHON_FALLTHROUGH; + case 32: values[31] = PyTuple_GET_ITEM(__pyx_args, 31); + CYTHON_FALLTHROUGH; + case 31: values[30] = PyTuple_GET_ITEM(__pyx_args, 30); + CYTHON_FALLTHROUGH; + case 30: values[29] = PyTuple_GET_ITEM(__pyx_args, 29); + CYTHON_FALLTHROUGH; + case 29: values[28] = PyTuple_GET_ITEM(__pyx_args, 28); + CYTHON_FALLTHROUGH; + case 28: values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + CYTHON_FALLTHROUGH; + case 27: values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + CYTHON_FALLTHROUGH; + case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + CYTHON_FALLTHROUGH; + case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + CYTHON_FALLTHROUGH; + case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + CYTHON_FALLTHROUGH; + case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + CYTHON_FALLTHROUGH; + case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + CYTHON_FALLTHROUGH; + case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + CYTHON_FALLTHROUGH; + case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + CYTHON_FALLTHROUGH; + case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + CYTHON_FALLTHROUGH; + case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + CYTHON_FALLTHROUGH; + case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + CYTHON_FALLTHROUGH; + case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + CYTHON_FALLTHROUGH; + case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + CYTHON_FALLTHROUGH; + case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + CYTHON_FALLTHROUGH; + case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + CYTHON_FALLTHROUGH; + case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + CYTHON_FALLTHROUGH; + case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + CYTHON_FALLTHROUGH; + case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + CYTHON_FALLTHROUGH; + case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + CYTHON_FALLTHROUGH; + case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + CYTHON_FALLTHROUGH; + case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + CYTHON_FALLTHROUGH; + case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + CYTHON_FALLTHROUGH; + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_uia)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 1); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_uao)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 2); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_iao)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 3); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 4: + if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos_pair)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 4); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 5: + if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_pos)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 5); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 6: + if (likely((values[6] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rng_neg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 6); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 7: + if (likely((values[7] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_n_threads)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 7); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 8: + if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 8); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 9: + if (likely((values[9] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 9); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 10: + if (likely((values[10] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 10); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 11: + if (likely((values[11] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_X_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 11); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 12: + if (likely((values[12] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 12); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 13: + if (likely((values[13] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_uids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 13); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 14: + if (likely((values[14] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 14); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 15: + if (likely((values[15] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YU_oids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 15); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 16: + if (likely((values[16] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 16); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 17: + if (likely((values[17] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_iids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 17); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 18: + if (likely((values[18] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_aids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 18); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 19: + if (likely((values[19] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_YI_oids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 19); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 20: + if (likely((values[20] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_rating_dict)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 20); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 21: + if (likely((values[21] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_user_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 21); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 22: + if (likely((values[22] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_item_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 22); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 23: + if (likely((values[23] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neg_item_ids)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 23); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 24: + if (likely((values[24] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_indptr)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 24); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 25: + if (likely((values[25] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_p_user_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 25); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 26: + if (likely((values[26] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_earlier_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 26); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 27: + if (likely((values[27] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_later_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 27); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 28: + if (likely((values[28] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_aspect_indices)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 28); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 29: + if (likely((values[29] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pair_counts)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 29); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 30: + if (likely((values[30] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 30); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 31: + if (likely((values[31] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 31); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 32: + if (likely((values[32] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_G3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 32); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 33: + if (likely((values[33] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_U)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 33); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 34: + if (likely((values[34] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_I)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 34); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 35: + if (likely((values[35] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 35); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 36: + if (likely((values[36] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_O)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 36); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 37: + if (likely((values[37] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 37); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 38: + if (likely((values[38] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 38); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 39: + if (likely((values[39] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_G3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 39); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 40: + if (likely((values[40] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_U)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 40); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 41: + if (likely((values[41] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_I)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 41); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 42: + if (likely((values[42] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_A)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 42); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 43: + if (likely((values[43] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_sgrad_O)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 43); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 44: + if (likely((values[44] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g1)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 44); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 45: + if (likely((values[45] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g2)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 45); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 46: + if (likely((values[46] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g3)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 46); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 47: + if (likely((values[47] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_u)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 47); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 48: + if (likely((values[48] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_i)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 48); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 49: + if (likely((values[49] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_a)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 49); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 50: + if (likely((values[50] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_o)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 50); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 51: + if (likely((values[51] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g1_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 51); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 52: + if (likely((values[52] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g2_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 52); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 53: + if (likely((values[53] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_g3_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 53); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 54: + if (likely((values[54] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_u_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 54); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 55: + if (likely((values[55] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_i_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 55); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 56: + if (likely((values[56] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_a_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 56); __PYX_ERR(0, 475, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 57: + if (likely((values[57] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_del_o_reg)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, 57); __PYX_ERR(0, 475, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_fit_mter") < 0)) __PYX_ERR(0, 475, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 58) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + values[5] = PyTuple_GET_ITEM(__pyx_args, 5); + values[6] = PyTuple_GET_ITEM(__pyx_args, 6); + values[7] = PyTuple_GET_ITEM(__pyx_args, 7); + values[8] = PyTuple_GET_ITEM(__pyx_args, 8); + values[9] = PyTuple_GET_ITEM(__pyx_args, 9); + values[10] = PyTuple_GET_ITEM(__pyx_args, 10); + values[11] = PyTuple_GET_ITEM(__pyx_args, 11); + values[12] = PyTuple_GET_ITEM(__pyx_args, 12); + values[13] = PyTuple_GET_ITEM(__pyx_args, 13); + values[14] = PyTuple_GET_ITEM(__pyx_args, 14); + values[15] = PyTuple_GET_ITEM(__pyx_args, 15); + values[16] = PyTuple_GET_ITEM(__pyx_args, 16); + values[17] = PyTuple_GET_ITEM(__pyx_args, 17); + values[18] = PyTuple_GET_ITEM(__pyx_args, 18); + values[19] = PyTuple_GET_ITEM(__pyx_args, 19); + values[20] = PyTuple_GET_ITEM(__pyx_args, 20); + values[21] = PyTuple_GET_ITEM(__pyx_args, 21); + values[22] = PyTuple_GET_ITEM(__pyx_args, 22); + values[23] = PyTuple_GET_ITEM(__pyx_args, 23); + values[24] = PyTuple_GET_ITEM(__pyx_args, 24); + values[25] = PyTuple_GET_ITEM(__pyx_args, 25); + values[26] = PyTuple_GET_ITEM(__pyx_args, 26); + values[27] = PyTuple_GET_ITEM(__pyx_args, 27); + values[28] = PyTuple_GET_ITEM(__pyx_args, 28); + values[29] = PyTuple_GET_ITEM(__pyx_args, 29); + values[30] = PyTuple_GET_ITEM(__pyx_args, 30); + values[31] = PyTuple_GET_ITEM(__pyx_args, 31); + values[32] = PyTuple_GET_ITEM(__pyx_args, 32); + values[33] = PyTuple_GET_ITEM(__pyx_args, 33); + values[34] = PyTuple_GET_ITEM(__pyx_args, 34); + values[35] = PyTuple_GET_ITEM(__pyx_args, 35); + values[36] = PyTuple_GET_ITEM(__pyx_args, 36); + values[37] = PyTuple_GET_ITEM(__pyx_args, 37); + values[38] = PyTuple_GET_ITEM(__pyx_args, 38); + values[39] = PyTuple_GET_ITEM(__pyx_args, 39); + values[40] = PyTuple_GET_ITEM(__pyx_args, 40); + values[41] = PyTuple_GET_ITEM(__pyx_args, 41); + values[42] = PyTuple_GET_ITEM(__pyx_args, 42); + values[43] = PyTuple_GET_ITEM(__pyx_args, 43); + values[44] = PyTuple_GET_ITEM(__pyx_args, 44); + values[45] = PyTuple_GET_ITEM(__pyx_args, 45); + values[46] = PyTuple_GET_ITEM(__pyx_args, 46); + values[47] = PyTuple_GET_ITEM(__pyx_args, 47); + values[48] = PyTuple_GET_ITEM(__pyx_args, 48); + values[49] = PyTuple_GET_ITEM(__pyx_args, 49); + values[50] = PyTuple_GET_ITEM(__pyx_args, 50); + values[51] = PyTuple_GET_ITEM(__pyx_args, 51); + values[52] = PyTuple_GET_ITEM(__pyx_args, 52); + values[53] = PyTuple_GET_ITEM(__pyx_args, 53); + values[54] = PyTuple_GET_ITEM(__pyx_args, 54); + values[55] = PyTuple_GET_ITEM(__pyx_args, 55); + values[56] = PyTuple_GET_ITEM(__pyx_args, 56); + values[57] = PyTuple_GET_ITEM(__pyx_args, 57); + } + __pyx_v_self = values[0]; + __pyx_v_rng_pos_uia = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[1]); + __pyx_v_rng_pos_uao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[2]); + __pyx_v_rng_pos_iao = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[3]); + __pyx_v_rng_pos_pair = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[4]); + __pyx_v_rng_pos = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[5]); + __pyx_v_rng_neg = ((struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *)values[6]); + __pyx_v_n_threads = __Pyx_PyInt_As_int(values[7]); if (unlikely((__pyx_v_n_threads == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 483, __pyx_L3_error) + __pyx_v_X = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[8], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[9], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_uids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[10], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_iids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_X_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[11], PyBUF_WRITABLE); if (unlikely(!__pyx_v_X_aids.memview)) __PYX_ERR(0, 484, __pyx_L3_error) + __pyx_v_YU = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[12], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_uids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[13], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_uids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[14], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_aids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YU_oids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[15], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YU_oids.memview)) __PYX_ERR(0, 485, __pyx_L3_error) + __pyx_v_YI = __Pyx_PyObject_to_MemoryviewSlice_ds_double(values[16], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_iids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[17], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_iids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_aids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[18], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_aids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_YI_oids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[19], PyBUF_WRITABLE); if (unlikely(!__pyx_v_YI_oids.memview)) __PYX_ERR(0, 486, __pyx_L3_error) + __pyx_v_rating_dict = ((struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *)values[20]); + __pyx_v_user_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[21], PyBUF_WRITABLE); if (unlikely(!__pyx_v_user_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_item_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[22], PyBUF_WRITABLE); if (unlikely(!__pyx_v_item_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_neg_item_ids = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[23], PyBUF_WRITABLE); if (unlikely(!__pyx_v_neg_item_ids.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_indptr = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[24], PyBUF_WRITABLE); if (unlikely(!__pyx_v_indptr.memview)) __PYX_ERR(0, 488, __pyx_L3_error) + __pyx_v_p_user_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[25], PyBUF_WRITABLE); if (unlikely(!__pyx_v_p_user_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_earlier_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[26], PyBUF_WRITABLE); if (unlikely(!__pyx_v_earlier_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_later_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[27], PyBUF_WRITABLE); if (unlikely(!__pyx_v_later_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_aspect_indices = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[28], PyBUF_WRITABLE); if (unlikely(!__pyx_v_aspect_indices.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_pair_counts = __Pyx_PyObject_to_MemoryviewSlice_ds_long(values[29], PyBUF_WRITABLE); if (unlikely(!__pyx_v_pair_counts.memview)) __PYX_ERR(0, 489, __pyx_L3_error) + __pyx_v_G1 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[30], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G1.memview)) __PYX_ERR(0, 490, __pyx_L3_error) + __pyx_v_G2 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[31], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G2.memview)) __PYX_ERR(0, 491, __pyx_L3_error) + __pyx_v_G3 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[32], PyBUF_WRITABLE); if (unlikely(!__pyx_v_G3.memview)) __PYX_ERR(0, 492, __pyx_L3_error) + __pyx_v_U = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[33], PyBUF_WRITABLE); if (unlikely(!__pyx_v_U.memview)) __PYX_ERR(0, 493, __pyx_L3_error) + __pyx_v_I = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[34], PyBUF_WRITABLE); if (unlikely(!__pyx_v_I.memview)) __PYX_ERR(0, 494, __pyx_L3_error) + __pyx_v_A = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[35], PyBUF_WRITABLE); if (unlikely(!__pyx_v_A.memview)) __PYX_ERR(0, 495, __pyx_L3_error) + __pyx_v_O = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[36], PyBUF_WRITABLE); if (unlikely(!__pyx_v_O.memview)) __PYX_ERR(0, 496, __pyx_L3_error) + __pyx_v_sgrad_G1 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[37], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G1.memview)) __PYX_ERR(0, 497, __pyx_L3_error) + __pyx_v_sgrad_G2 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[38], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G2.memview)) __PYX_ERR(0, 498, __pyx_L3_error) + __pyx_v_sgrad_G3 = __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(values[39], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_G3.memview)) __PYX_ERR(0, 499, __pyx_L3_error) + __pyx_v_sgrad_U = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[40], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_U.memview)) __PYX_ERR(0, 500, __pyx_L3_error) + __pyx_v_sgrad_I = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[41], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_I.memview)) __PYX_ERR(0, 501, __pyx_L3_error) + __pyx_v_sgrad_A = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[42], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_A.memview)) __PYX_ERR(0, 502, __pyx_L3_error) + __pyx_v_sgrad_O = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[43], PyBUF_WRITABLE); if (unlikely(!__pyx_v_sgrad_O.memview)) __PYX_ERR(0, 503, __pyx_L3_error) + __pyx_v_del_g1 = ((PyArrayObject *)values[44]); + __pyx_v_del_g2 = ((PyArrayObject *)values[45]); + __pyx_v_del_g3 = ((PyArrayObject *)values[46]); + __pyx_v_del_u = ((PyArrayObject *)values[47]); + __pyx_v_del_i = ((PyArrayObject *)values[48]); + __pyx_v_del_a = ((PyArrayObject *)values[49]); + __pyx_v_del_o = ((PyArrayObject *)values[50]); + __pyx_v_del_g1_reg = ((PyArrayObject *)values[51]); + __pyx_v_del_g2_reg = ((PyArrayObject *)values[52]); + __pyx_v_del_g3_reg = ((PyArrayObject *)values[53]); + __pyx_v_del_u_reg = ((PyArrayObject *)values[54]); + __pyx_v_del_i_reg = ((PyArrayObject *)values[55]); + __pyx_v_del_a_reg = ((PyArrayObject *)values[56]); + __pyx_v_del_o_reg = ((PyArrayObject *)values[57]); + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("_fit_mter", 1, 58, 58, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 475, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._fit_mter", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_uia), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_uia", 0))) __PYX_ERR(0, 477, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_uao), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_uao", 0))) __PYX_ERR(0, 478, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_iao), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_iao", 0))) __PYX_ERR(0, 479, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos_pair), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos_pair", 0))) __PYX_ERR(0, 480, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_pos), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_pos", 0))) __PYX_ERR(0, 481, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rng_neg), __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector, 1, "rng_neg", 0))) __PYX_ERR(0, 482, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_rating_dict), __pyx_ptype_6cornac_5utils_9fast_dict_IntFloatDict, 1, "rating_dict", 0))) __PYX_ERR(0, 487, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g1), __pyx_ptype_5numpy_ndarray, 1, "del_g1", 0))) __PYX_ERR(0, 504, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g2), __pyx_ptype_5numpy_ndarray, 1, "del_g2", 0))) __PYX_ERR(0, 505, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g3), __pyx_ptype_5numpy_ndarray, 1, "del_g3", 0))) __PYX_ERR(0, 506, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_u), __pyx_ptype_5numpy_ndarray, 1, "del_u", 0))) __PYX_ERR(0, 507, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_i), __pyx_ptype_5numpy_ndarray, 1, "del_i", 0))) __PYX_ERR(0, 508, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_a), __pyx_ptype_5numpy_ndarray, 1, "del_a", 0))) __PYX_ERR(0, 509, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_o), __pyx_ptype_5numpy_ndarray, 1, "del_o", 0))) __PYX_ERR(0, 510, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g1_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g1_reg", 0))) __PYX_ERR(0, 511, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g2_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g2_reg", 0))) __PYX_ERR(0, 512, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_g3_reg), __pyx_ptype_5numpy_ndarray, 1, "del_g3_reg", 0))) __PYX_ERR(0, 513, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_u_reg), __pyx_ptype_5numpy_ndarray, 1, "del_u_reg", 0))) __PYX_ERR(0, 514, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_i_reg), __pyx_ptype_5numpy_ndarray, 1, "del_i_reg", 0))) __PYX_ERR(0, 515, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_a_reg), __pyx_ptype_5numpy_ndarray, 1, "del_a_reg", 0))) __PYX_ERR(0, 516, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_del_o_reg), __pyx_ptype_5numpy_ndarray, 1, "del_o_reg", 0))) __PYX_ERR(0, 517, __pyx_L1_error) + __pyx_r = __pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_22_fit_mter(__pyx_self, __pyx_v_self, __pyx_v_rng_pos_uia, __pyx_v_rng_pos_uao, __pyx_v_rng_pos_iao, __pyx_v_rng_pos_pair, __pyx_v_rng_pos, __pyx_v_rng_neg, __pyx_v_n_threads, __pyx_v_X, __pyx_v_X_uids, __pyx_v_X_iids, __pyx_v_X_aids, __pyx_v_YU, __pyx_v_YU_uids, __pyx_v_YU_aids, __pyx_v_YU_oids, __pyx_v_YI, __pyx_v_YI_iids, __pyx_v_YI_aids, __pyx_v_YI_oids, __pyx_v_rating_dict, __pyx_v_user_ids, __pyx_v_item_ids, __pyx_v_neg_item_ids, __pyx_v_indptr, __pyx_v_p_user_indices, __pyx_v_earlier_indices, __pyx_v_later_indices, __pyx_v_aspect_indices, __pyx_v_pair_counts, __pyx_v_G1, __pyx_v_G2, __pyx_v_G3, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_O, __pyx_v_sgrad_G1, __pyx_v_sgrad_G2, __pyx_v_sgrad_G3, __pyx_v_sgrad_U, __pyx_v_sgrad_I, __pyx_v_sgrad_A, __pyx_v_sgrad_O, __pyx_v_del_g1, __pyx_v_del_g2, __pyx_v_del_g3, __pyx_v_del_u, __pyx_v_del_i, __pyx_v_del_a, __pyx_v_del_o, __pyx_v_del_g1_reg, __pyx_v_del_g2_reg, __pyx_v_del_g3_reg, __pyx_v_del_u_reg, __pyx_v_del_i_reg, __pyx_v_del_a_reg, __pyx_v_del_o_reg); + + /* function exit code */ + goto __pyx_L0; + __pyx_L1_error:; + __pyx_r = NULL; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_22_fit_mter(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uia, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_uao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_iao, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos_pair, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_pos, struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector *__pyx_v_rng_neg, int __pyx_v_n_threads, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_X_uids, __Pyx_memviewslice __pyx_v_X_iids, __Pyx_memviewslice __pyx_v_X_aids, __Pyx_memviewslice __pyx_v_YU, __Pyx_memviewslice __pyx_v_YU_uids, __Pyx_memviewslice __pyx_v_YU_aids, __Pyx_memviewslice __pyx_v_YU_oids, __Pyx_memviewslice __pyx_v_YI, __Pyx_memviewslice __pyx_v_YI_iids, __Pyx_memviewslice __pyx_v_YI_aids, __Pyx_memviewslice __pyx_v_YI_oids, struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict *__pyx_v_rating_dict, __Pyx_memviewslice __pyx_v_user_ids, __Pyx_memviewslice __pyx_v_item_ids, __Pyx_memviewslice __pyx_v_neg_item_ids, __Pyx_memviewslice __pyx_v_indptr, __Pyx_memviewslice __pyx_v_p_user_indices, __Pyx_memviewslice __pyx_v_earlier_indices, __Pyx_memviewslice __pyx_v_later_indices, __Pyx_memviewslice __pyx_v_aspect_indices, CYTHON_UNUSED __Pyx_memviewslice __pyx_v_pair_counts, __Pyx_memviewslice __pyx_v_G1, __Pyx_memviewslice __pyx_v_G2, __Pyx_memviewslice __pyx_v_G3, __Pyx_memviewslice __pyx_v_U, __Pyx_memviewslice __pyx_v_I, __Pyx_memviewslice __pyx_v_A, __Pyx_memviewslice __pyx_v_O, __Pyx_memviewslice __pyx_v_sgrad_G1, __Pyx_memviewslice __pyx_v_sgrad_G2, __Pyx_memviewslice __pyx_v_sgrad_G3, __Pyx_memviewslice __pyx_v_sgrad_U, __Pyx_memviewslice __pyx_v_sgrad_I, __Pyx_memviewslice __pyx_v_sgrad_A, __Pyx_memviewslice __pyx_v_sgrad_O, PyArrayObject *__pyx_v_del_g1, PyArrayObject *__pyx_v_del_g2, PyArrayObject *__pyx_v_del_g3, PyArrayObject *__pyx_v_del_u, PyArrayObject *__pyx_v_del_i, PyArrayObject *__pyx_v_del_a, PyArrayObject *__pyx_v_del_o, PyArrayObject *__pyx_v_del_g1_reg, PyArrayObject *__pyx_v_del_g2_reg, PyArrayObject *__pyx_v_del_g3_reg, PyArrayObject *__pyx_v_del_u_reg, PyArrayObject *__pyx_v_del_i_reg, PyArrayObject *__pyx_v_del_a_reg, PyArrayObject *__pyx_v_del_o_reg) { + long __pyx_v_s; + long __pyx_v_correct; + long __pyx_v_skipped; + long __pyx_v_aspect_correct; + long __pyx_v_n_users; + long __pyx_v_n_items; + long __pyx_v_n_aspects; + CYTHON_UNUSED long __pyx_v_n_opinions; + long __pyx_v_n_user_factors; + long __pyx_v_n_item_factors; + long __pyx_v_n_aspect_factors; + long __pyx_v_n_opinion_factors; + CYTHON_UNUSED int __pyx_v_num_samples; + CYTHON_UNUSED int __pyx_v_num_bpr_samples; + CYTHON_UNUSED int __pyx_v_num_pair_samples; + CYTHON_UNUSED long __pyx_v__; + long __pyx_v_i; + long __pyx_v_j; + long __pyx_v_k; + long __pyx_v_idx; + long __pyx_v_jdx; + long __pyx_v_u_idx; + long __pyx_v_i_idx; + long __pyx_v_a_idx; + long __pyx_v_o_idx; + long __pyx_v_j_idx; + long __pyx_v_thread_id; + double __pyx_v_z; + double __pyx_v_score; + double __pyx_v_i_score; + double __pyx_v_j_score; + double __pyx_v_pred; + double __pyx_v_i_ij; + double __pyx_v_a_ji; + double __pyx_v_loss; + double __pyx_v_bpr_loss; + double __pyx_v_aspect_bpr_loss; + double __pyx_v_del_sqerror; + double __pyx_v_del_bpr; + double __pyx_v_del_aspect_bpr; + double __pyx_v_eps; + double __pyx_v_lr; + double __pyx_v_ld_reg; + double __pyx_v_ld_bpr; + double __pyx_v_lambda_d; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_a; + __Pyx_Buffer __pyx_pybuffer_del_a; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_a_reg; + __Pyx_Buffer __pyx_pybuffer_del_a_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g1; + __Pyx_Buffer __pyx_pybuffer_del_g1; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g1_reg; + __Pyx_Buffer __pyx_pybuffer_del_g1_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g2; + __Pyx_Buffer __pyx_pybuffer_del_g2; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g2_reg; + __Pyx_Buffer __pyx_pybuffer_del_g2_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g3; + __Pyx_Buffer __pyx_pybuffer_del_g3; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_g3_reg; + __Pyx_Buffer __pyx_pybuffer_del_g3_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_i; + __Pyx_Buffer __pyx_pybuffer_del_i; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_i_reg; + __Pyx_Buffer __pyx_pybuffer_del_i_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_o; + __Pyx_Buffer __pyx_pybuffer_del_o; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_o_reg; + __Pyx_Buffer __pyx_pybuffer_del_o_reg; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_u; + __Pyx_Buffer __pyx_pybuffer_del_u; + __Pyx_LocalBuf_ND __pyx_pybuffernd_del_u_reg; + __Pyx_Buffer __pyx_pybuffer_del_u_reg; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + long __pyx_t_3; + int __pyx_t_4; + double __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + long __pyx_t_7; + Py_ssize_t __pyx_t_8; + long __pyx_t_9; + long __pyx_t_10; + long __pyx_t_11; + long __pyx_t_12; + long __pyx_t_13; + long __pyx_t_14; + long __pyx_t_15; + long __pyx_t_16; + long __pyx_t_17; + Py_ssize_t __pyx_t_18; + Py_ssize_t __pyx_t_19; + Py_ssize_t __pyx_t_20; + Py_ssize_t __pyx_t_21; + Py_ssize_t __pyx_t_22; + Py_ssize_t __pyx_t_23; + Py_ssize_t __pyx_t_24; + Py_ssize_t __pyx_t_25; + int __pyx_t_26; + PyObject *__pyx_t_27 = NULL; + PyObject *__pyx_t_28 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_fuse_1_2_fit_mter", 0); + __pyx_pybuffer_del_g1.pybuffer.buf = NULL; + __pyx_pybuffer_del_g1.refcount = 0; + __pyx_pybuffernd_del_g1.data = NULL; + __pyx_pybuffernd_del_g1.rcbuffer = &__pyx_pybuffer_del_g1; + __pyx_pybuffer_del_g2.pybuffer.buf = NULL; + __pyx_pybuffer_del_g2.refcount = 0; + __pyx_pybuffernd_del_g2.data = NULL; + __pyx_pybuffernd_del_g2.rcbuffer = &__pyx_pybuffer_del_g2; + __pyx_pybuffer_del_g3.pybuffer.buf = NULL; + __pyx_pybuffer_del_g3.refcount = 0; + __pyx_pybuffernd_del_g3.data = NULL; + __pyx_pybuffernd_del_g3.rcbuffer = &__pyx_pybuffer_del_g3; + __pyx_pybuffer_del_u.pybuffer.buf = NULL; + __pyx_pybuffer_del_u.refcount = 0; + __pyx_pybuffernd_del_u.data = NULL; + __pyx_pybuffernd_del_u.rcbuffer = &__pyx_pybuffer_del_u; + __pyx_pybuffer_del_i.pybuffer.buf = NULL; + __pyx_pybuffer_del_i.refcount = 0; + __pyx_pybuffernd_del_i.data = NULL; + __pyx_pybuffernd_del_i.rcbuffer = &__pyx_pybuffer_del_i; + __pyx_pybuffer_del_a.pybuffer.buf = NULL; + __pyx_pybuffer_del_a.refcount = 0; + __pyx_pybuffernd_del_a.data = NULL; + __pyx_pybuffernd_del_a.rcbuffer = &__pyx_pybuffer_del_a; + __pyx_pybuffer_del_o.pybuffer.buf = NULL; + __pyx_pybuffer_del_o.refcount = 0; + __pyx_pybuffernd_del_o.data = NULL; + __pyx_pybuffernd_del_o.rcbuffer = &__pyx_pybuffer_del_o; + __pyx_pybuffer_del_g1_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g1_reg.refcount = 0; + __pyx_pybuffernd_del_g1_reg.data = NULL; + __pyx_pybuffernd_del_g1_reg.rcbuffer = &__pyx_pybuffer_del_g1_reg; + __pyx_pybuffer_del_g2_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g2_reg.refcount = 0; + __pyx_pybuffernd_del_g2_reg.data = NULL; + __pyx_pybuffernd_del_g2_reg.rcbuffer = &__pyx_pybuffer_del_g2_reg; + __pyx_pybuffer_del_g3_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_g3_reg.refcount = 0; + __pyx_pybuffernd_del_g3_reg.data = NULL; + __pyx_pybuffernd_del_g3_reg.rcbuffer = &__pyx_pybuffer_del_g3_reg; + __pyx_pybuffer_del_u_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_u_reg.refcount = 0; + __pyx_pybuffernd_del_u_reg.data = NULL; + __pyx_pybuffernd_del_u_reg.rcbuffer = &__pyx_pybuffer_del_u_reg; + __pyx_pybuffer_del_i_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_i_reg.refcount = 0; + __pyx_pybuffernd_del_i_reg.data = NULL; + __pyx_pybuffernd_del_i_reg.rcbuffer = &__pyx_pybuffer_del_i_reg; + __pyx_pybuffer_del_a_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_a_reg.refcount = 0; + __pyx_pybuffernd_del_a_reg.data = NULL; + __pyx_pybuffernd_del_a_reg.rcbuffer = &__pyx_pybuffer_del_a_reg; + __pyx_pybuffer_del_o_reg.pybuffer.buf = NULL; + __pyx_pybuffer_del_o_reg.refcount = 0; + __pyx_pybuffernd_del_o_reg.data = NULL; + __pyx_pybuffernd_del_o_reg.rcbuffer = &__pyx_pybuffer_del_o_reg; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g1, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g1.diminfo[0].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g1.diminfo[0].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g1.diminfo[1].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g1.diminfo[1].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g1.diminfo[2].strides = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g1.diminfo[2].shape = __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g2, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g2.diminfo[0].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g2.diminfo[0].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g2.diminfo[1].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g2.diminfo[1].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g2.diminfo[2].strides = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g2.diminfo[2].shape = __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g3, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g3.diminfo[0].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g3.diminfo[0].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g3.diminfo[1].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g3.diminfo[1].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g3.diminfo[2].strides = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g3.diminfo[2].shape = __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_u, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_u.diminfo[0].strides = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_u.diminfo[0].shape = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_u.diminfo[1].strides = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_u.diminfo[1].shape = __pyx_pybuffernd_del_u.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_i, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_i.diminfo[0].strides = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_i.diminfo[0].shape = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_i.diminfo[1].strides = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_i.diminfo[1].shape = __pyx_pybuffernd_del_i.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_a, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_a.diminfo[0].strides = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_a.diminfo[0].shape = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_a.diminfo[1].strides = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_a.diminfo[1].shape = __pyx_pybuffernd_del_a.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_o, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_o.diminfo[0].strides = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_o.diminfo[0].shape = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_o.diminfo[1].strides = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_o.diminfo[1].shape = __pyx_pybuffernd_del_o.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g1_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g1_reg.diminfo[0].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g1_reg.diminfo[0].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g1_reg.diminfo[1].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g1_reg.diminfo[1].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g1_reg.diminfo[2].strides = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g1_reg.diminfo[2].shape = __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g2_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g2_reg.diminfo[0].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g2_reg.diminfo[0].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g2_reg.diminfo[1].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g2_reg.diminfo[1].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g2_reg.diminfo[2].strides = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g2_reg.diminfo[2].shape = __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_g3_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 3, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_g3_reg.diminfo[0].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_g3_reg.diminfo[0].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_g3_reg.diminfo[1].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_g3_reg.diminfo[1].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_del_g3_reg.diminfo[2].strides = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_del_g3_reg.diminfo[2].shape = __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.shape[2]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_u_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_u_reg.diminfo[0].strides = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_u_reg.diminfo[0].shape = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_u_reg.diminfo[1].strides = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_u_reg.diminfo[1].shape = __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_i_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_i_reg.diminfo[0].strides = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_i_reg.diminfo[0].shape = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_i_reg.diminfo[1].strides = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_i_reg.diminfo[1].shape = __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_a_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_a_reg.diminfo[0].strides = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_a_reg.diminfo[0].shape = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_a_reg.diminfo[1].strides = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_a_reg.diminfo[1].shape = __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.shape[1]; + { + __Pyx_BufFmt_StackElem __pyx_stack[1]; + if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer, (PyObject*)__pyx_v_del_o_reg, &__Pyx_TypeInfo_nn___pyx_t_5numpy_float32_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) __PYX_ERR(0, 475, __pyx_L1_error) + } + __pyx_pybuffernd_del_o_reg.diminfo[0].strides = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_del_o_reg.diminfo[0].shape = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_del_o_reg.diminfo[1].strides = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_del_o_reg.diminfo[1].shape = __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.shape[1]; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":521 + * """ + * cdef: + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 # <<<<<<<<<<<<<< + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items + */ + __pyx_v_correct = 0; + __pyx_v_skipped = 0; + __pyx_v_aspect_correct = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":522 + * cdef: + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + * long n_users = self.train_set.num_users # <<<<<<<<<<<<<< + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_num_users); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_2); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 522, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v_n_users = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":523 + * long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items # <<<<<<<<<<<<<< + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_items); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 523, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_items = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":524 + * long n_users = self.train_set.num_users + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects # <<<<<<<<<<<<<< + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_aspects); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 524, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_aspects = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":525 + * long n_items = self.train_set.num_items + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions # <<<<<<<<<<<<<< + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_train_set); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sentiment); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_num_opinions); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 525, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_opinions = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":526 + * long n_aspects = self.train_set.sentiment.num_aspects + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors # <<<<<<<<<<<<<< + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_user_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 526, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_user_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":527 + * long n_opinions = self.train_set.sentiment.num_opinions + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors # <<<<<<<<<<<<<< + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_item_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 527, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_item_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":528 + * long n_user_factors = self.n_user_factors + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors # <<<<<<<<<<<<<< + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_aspect_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 528, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_aspect_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":529 + * long n_item_factors = self.n_item_factors + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors # <<<<<<<<<<<<<< + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_opinion_factors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_PyInt_As_long(__pyx_t_1); if (unlikely((__pyx_t_3 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 529, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_n_opinion_factors = __pyx_t_3; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":530 + * long n_aspect_factors = self.n_aspect_factors + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples # <<<<<<<<<<<<<< + * int num_bpr_samples = self.n_bpr_samples + * int num_pair_samples = self.n_pair_samples + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_element_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 530, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 530, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":531 + * long n_opinion_factors = self.n_opinion_factors + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples # <<<<<<<<<<<<<< + * int num_pair_samples = self.n_pair_samples + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_bpr_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 531, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 531, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_bpr_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":532 + * int num_samples = self.n_element_samples + * int num_bpr_samples = self.n_bpr_samples + * int num_pair_samples = self.n_pair_samples # <<<<<<<<<<<<<< + * + * integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_n_pair_samples); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 532, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_num_pair_samples = __pyx_t_4; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":536 + * integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + * floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + * floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr # <<<<<<<<<<<<<< + * floating eps = 1e-9 + * + */ + __pyx_v_loss = 0.; + __pyx_v_bpr_loss = 0.; + __pyx_v_aspect_bpr_loss = 0.; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":537 + * floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + * floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr + * floating eps = 1e-9 # <<<<<<<<<<<<<< + * + * floating lr = self.lr + */ + __pyx_v_eps = 1e-9; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":539 + * floating eps = 1e-9 + * + * floating lr = self.lr # <<<<<<<<<<<<<< + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 539, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_lr = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":540 + * + * floating lr = self.lr + * floating ld_reg = self.lambda_reg # <<<<<<<<<<<<<< + * floating ld_bpr = self.lambda_bpr + * floating lambda_d = self.lambda_d + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_reg); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 540, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_ld_reg = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":541 + * floating lr = self.lr + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr # <<<<<<<<<<<<<< + * floating lambda_d = self.lambda_d + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_bpr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 541, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 541, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_ld_bpr = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":542 + * floating ld_reg = self.lambda_reg + * floating ld_bpr = self.lambda_bpr + * floating lambda_d = self.lambda_d # <<<<<<<<<<<<<< + * + * del_g1.fill(0) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lambda_d); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 542, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 542, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_lambda_d = __pyx_t_5; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":544 + * floating lambda_d = self.lambda_d + * + * del_g1.fill(0) # <<<<<<<<<<<<<< + * del_g2.fill(0) + * del_g3.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g1), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 544, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 544, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":545 + * + * del_g1.fill(0) + * del_g2.fill(0) # <<<<<<<<<<<<<< + * del_g3.fill(0) + * del_u.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g2), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 545, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":546 + * del_g1.fill(0) + * del_g2.fill(0) + * del_g3.fill(0) # <<<<<<<<<<<<<< + * del_u.fill(0) + * del_i.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g3), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 546, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":547 + * del_g2.fill(0) + * del_g3.fill(0) + * del_u.fill(0) # <<<<<<<<<<<<<< + * del_i.fill(0) + * del_a.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_u), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 547, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":548 + * del_g3.fill(0) + * del_u.fill(0) + * del_i.fill(0) # <<<<<<<<<<<<<< + * del_a.fill(0) + * del_o.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_i), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 548, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 548, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":549 + * del_u.fill(0) + * del_i.fill(0) + * del_a.fill(0) # <<<<<<<<<<<<<< + * del_o.fill(0) + * del_g1_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_a), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":550 + * del_i.fill(0) + * del_a.fill(0) + * del_o.fill(0) # <<<<<<<<<<<<<< + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_o), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 550, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":551 + * del_a.fill(0) + * del_o.fill(0) + * del_g1_reg.fill(0) # <<<<<<<<<<<<<< + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g1_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 551, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":552 + * del_o.fill(0) + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) # <<<<<<<<<<<<<< + * del_g3_reg.fill(0) + * del_u_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g2_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 552, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":553 + * del_g1_reg.fill(0) + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) # <<<<<<<<<<<<<< + * del_u_reg.fill(0) + * del_i_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_g3_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 553, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":554 + * del_g2_reg.fill(0) + * del_g3_reg.fill(0) + * del_u_reg.fill(0) # <<<<<<<<<<<<<< + * del_i_reg.fill(0) + * del_a_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_u_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":555 + * del_g3_reg.fill(0) + * del_u_reg.fill(0) + * del_i_reg.fill(0) # <<<<<<<<<<<<<< + * del_a_reg.fill(0) + * del_o_reg.fill(0) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_i_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 555, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 555, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":556 + * del_u_reg.fill(0) + * del_i_reg.fill(0) + * del_a_reg.fill(0) # <<<<<<<<<<<<<< + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_a_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 556, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":557 + * del_i_reg.fill(0) + * del_a_reg.fill(0) + * del_o_reg.fill(0) # <<<<<<<<<<<<<< + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_del_o_reg), __pyx_n_s_fill); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_6, __pyx_int_0) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_int_0); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 557, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":558 + * del_a_reg.fill(0) + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel private(__pyx_v_thread_id) reduction(+:__pyx_v_loss) reduction(+:__pyx_v_bpr_loss) reduction(+:__pyx_v_correct) reduction(+:__pyx_v_skipped) reduction(+:__pyx_v_aspect_bpr_loss) reduction(+:__pyx_v_aspect_correct) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_3, __pyx_t_4, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) + #endif /* _OPENMP */ + { + /* Initialize private variables to invalid values */ + __pyx_v_thread_id = ((long)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":559 + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() # <<<<<<<<<<<<<< + * for _ in prange(num_samples, schedule='guided'): + * # get user item aspect element + */ + __pyx_v_thread_id = recom_bpr::get_thread_num(); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":560 + * with nogil, parallel(num_threads=n_threads): + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): # <<<<<<<<<<<<<< + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) + */ + __pyx_t_4 = __pyx_v_num_samples; + if ((1 == 0)) abort(); + { + __pyx_t_7 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_7 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_a_idx) lastprivate(__pyx_v_del_sqerror) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) lastprivate(__pyx_v_o_idx) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_score) lastprivate(__pyx_v_u_idx) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_7; __pyx_t_3++){ + { + __pyx_v__ = (long)(0 + 1 * __pyx_t_3); + /* Initialize private variables to invalid values */ + __pyx_v_a_idx = ((long)0xbad0bad0); + __pyx_v_del_sqerror = ((double)__PYX_NAN()); + __pyx_v_i = ((long)0xbad0bad0); + __pyx_v_i_idx = ((long)0xbad0bad0); + __pyx_v_idx = ((long)0xbad0bad0); + __pyx_v_j = ((long)0xbad0bad0); + __pyx_v_k = ((long)0xbad0bad0); + __pyx_v_o_idx = ((long)0xbad0bad0); + __pyx_v_pred = ((double)__PYX_NAN()); + __pyx_v_score = ((double)__PYX_NAN()); + __pyx_v_u_idx = ((long)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":562 + * for _ in prange(num_samples, schedule='guided'): + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_uia->__pyx_vtab)->generate(__pyx_v_rng_pos_uia, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":563 + * # get user item aspect element + * idx = rng_pos_uia.generate(thread_id) + * u_idx = X_uids[idx] # <<<<<<<<<<<<<< + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] + */ + __pyx_t_8 = __pyx_v_idx; + __pyx_v_u_idx = (*((long *) ( /* dim=0 */ (__pyx_v_X_uids.data + __pyx_t_8 * __pyx_v_X_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":564 + * idx = rng_pos_uia.generate(thread_id) + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] # <<<<<<<<<<<<<< + * a_idx = X_aids[idx] + * score = X[idx] + */ + __pyx_t_8 = __pyx_v_idx; + __pyx_v_i_idx = (*((long *) ( /* dim=0 */ (__pyx_v_X_iids.data + __pyx_t_8 * __pyx_v_X_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":565 + * u_idx = X_uids[idx] + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] # <<<<<<<<<<<<<< + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + */ + __pyx_t_8 = __pyx_v_idx; + __pyx_v_a_idx = (*((long *) ( /* dim=0 */ (__pyx_v_X_aids.data + __pyx_t_8 * __pyx_v_X_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":566 + * i_idx = X_iids[idx] + * a_idx = X_aids[idx] + * score = X[idx] # <<<<<<<<<<<<<< + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_8 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_X.data + __pyx_t_8 * __pyx_v_X.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":567 + * a_idx = X_aids[idx] + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_a_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":568 + * score = X[idx] + * pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":570 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * for i in range(n_user_factors): + * for j in range(n_item_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":571 + * + * del_sqerror = 2 * (pred - score) + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + */ + __pyx_t_9 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_9; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":572 + * del_sqerror = 2 * (pred - score) + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":573 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":574 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_8 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_i_idx; + __pyx_t_20 = __pyx_v_j; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_k; + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_8 * __pyx_v_U.strides[0]) ) + __pyx_t_18 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_20 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_21 * __pyx_v_A.strides[0]) ) + __pyx_t_22 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":575 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + */ + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_i_idx; + __pyx_t_18 = __pyx_v_j; + __pyx_t_8 = __pyx_v_a_idx; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_22 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":576 + * del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + * + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_k; + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_24 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_25 * __pyx_v_G1.strides[0]) ) + __pyx_t_8 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_19 * __pyx_v_U.strides[0]) ) + __pyx_t_20 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_21 * __pyx_v_A.strides[0]) ) + __pyx_t_22 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":577 + * del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + * del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] # <<<<<<<<<<<<<< + * + * # get user aspect opinion element + */ + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_8 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_j; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_22 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_19 * __pyx_v_U.strides[0]) ) + __pyx_t_18 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_8 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))); + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":580 + * + * # get user aspect opinion element + * idx = rng_pos_uao.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_uao->__pyx_vtab)->generate(__pyx_v_rng_pos_uao, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":581 + * # get user aspect opinion element + * idx = rng_pos_uao.generate(thread_id) + * u_idx = YU_uids[idx] # <<<<<<<<<<<<<< + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_u_idx = (*((long *) ( /* dim=0 */ (__pyx_v_YU_uids.data + __pyx_t_25 * __pyx_v_YU_uids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":582 + * idx = rng_pos_uao.generate(thread_id) + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] # <<<<<<<<<<<<<< + * o_idx = YU_oids[idx] + * score = YU[idx] + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_a_idx = (*((long *) ( /* dim=0 */ (__pyx_v_YU_aids.data + __pyx_t_25 * __pyx_v_YU_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":583 + * u_idx = YU_uids[idx] + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] # <<<<<<<<<<<<<< + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_o_idx = (*((long *) ( /* dim=0 */ (__pyx_v_YU_oids.data + __pyx_t_25 * __pyx_v_YU_oids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":584 + * a_idx = YU_aids[idx] + * o_idx = YU_oids[idx] + * score = YU[idx] # <<<<<<<<<<<<<< + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_25 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_YU.data + __pyx_t_25 * __pyx_v_YU.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":585 + * o_idx = YU_oids[idx] + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G2, __pyx_v_n_user_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_U, __pyx_v_A, __pyx_v_O, __pyx_v_u_idx, __pyx_v_a_idx, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":586 + * score = YU[idx] + * pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":588 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * + * for i in range(n_user_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":590 + * del_sqerror = 2 * (pred - score) + * + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + */ + __pyx_t_9 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_9; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":591 + * + * for i in range(n_user_factors): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_12 = __pyx_v_n_aspect_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":592 + * for i in range(n_user_factors): + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_15 = __pyx_v_n_opinion_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":593 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + */ + __pyx_t_25 = __pyx_v_u_idx; + __pyx_t_8 = __pyx_v_i; + __pyx_t_18 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_j; + __pyx_t_20 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_8 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_20 * __pyx_v_O.strides[0]) ) + __pyx_t_21 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":594 + * for k in range(n_opinion_factors): + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + */ + __pyx_t_21 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_18 = __pyx_v_a_idx; + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_o_idx; + __pyx_t_24 = __pyx_v_k; + __pyx_t_23 = __pyx_v_u_idx; + __pyx_t_22 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_u.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_21 * __pyx_v_G2.strides[0]) ) + __pyx_t_20 * __pyx_v_G2.strides[1]) ) + __pyx_t_19 * __pyx_v_G2.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_8 * __pyx_v_A.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_25 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":595 + * del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_k; + __pyx_t_18 = __pyx_v_u_idx; + __pyx_t_19 = __pyx_v_i; + __pyx_t_20 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + __pyx_t_22 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_24 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_8 * __pyx_v_G2.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_19 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_20 * __pyx_v_O.strides[0]) ) + __pyx_t_21 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":596 + * del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] # <<<<<<<<<<<<<< + * + * # get item aspect opinion element + */ + __pyx_t_21 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_18 = __pyx_v_u_idx; + __pyx_t_8 = __pyx_v_i; + __pyx_t_25 = __pyx_v_a_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_o_idx; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_o.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_21 * __pyx_v_G2.strides[0]) ) + __pyx_t_20 * __pyx_v_G2.strides[1]) ) + __pyx_t_19 * __pyx_v_G2.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_8 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_24 * __pyx_v_A.strides[1]) )))); + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":599 + * + * # get item aspect opinion element + * idx = rng_pos_iao.generate(thread_id) # <<<<<<<<<<<<<< + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_iao->__pyx_vtab)->generate(__pyx_v_rng_pos_iao, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":600 + * # get item aspect opinion element + * idx = rng_pos_iao.generate(thread_id) + * i_idx = YI_iids[idx] # <<<<<<<<<<<<<< + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_i_idx = (*((long *) ( /* dim=0 */ (__pyx_v_YI_iids.data + __pyx_t_24 * __pyx_v_YI_iids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":601 + * idx = rng_pos_iao.generate(thread_id) + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] # <<<<<<<<<<<<<< + * o_idx = YI_oids[idx] + * score = YI[idx] + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_a_idx = (*((long *) ( /* dim=0 */ (__pyx_v_YI_aids.data + __pyx_t_24 * __pyx_v_YI_aids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":602 + * i_idx = YI_iids[idx] + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] # <<<<<<<<<<<<<< + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_o_idx = (*((long *) ( /* dim=0 */ (__pyx_v_YI_oids.data + __pyx_t_24 * __pyx_v_YI_oids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":603 + * a_idx = YI_aids[idx] + * o_idx = YI_oids[idx] + * score = YI[idx] # <<<<<<<<<<<<<< + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) + */ + __pyx_t_24 = __pyx_v_idx; + __pyx_v_score = (*((double *) ( /* dim=0 */ (__pyx_v_YI.data + __pyx_t_24 * __pyx_v_YI.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":604 + * o_idx = YI_oids[idx] + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) # <<<<<<<<<<<<<< + * loss += (pred - score) * (pred - score) + * + */ + __pyx_v_pred = __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G3, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_n_opinion_factors, __pyx_v_I, __pyx_v_A, __pyx_v_O, __pyx_v_i_idx, __pyx_v_a_idx, __pyx_v_o_idx); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":605 + * score = YI[idx] + * pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + * loss += (pred - score) * (pred - score) # <<<<<<<<<<<<<< + * + * del_sqerror = 2 * (pred - score) + */ + __pyx_v_loss = (__pyx_v_loss + ((__pyx_v_pred - __pyx_v_score) * (__pyx_v_pred - __pyx_v_score))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":607 + * loss += (pred - score) * (pred - score) + * + * del_sqerror = 2 * (pred - score) # <<<<<<<<<<<<<< + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): + */ + __pyx_v_del_sqerror = (2.0 * (__pyx_v_pred - __pyx_v_score)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":608 + * + * del_sqerror = 2 * (pred - score) + * for i in range(n_item_factors): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + */ + __pyx_t_9 = __pyx_v_n_item_factors; + __pyx_t_10 = __pyx_t_9; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":609 + * del_sqerror = 2 * (pred - score) + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_12 = __pyx_v_n_aspect_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":610 + * for i in range(n_item_factors): + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + */ + __pyx_t_15 = __pyx_v_n_opinion_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":611 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + */ + __pyx_t_24 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_8 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_o_idx; + __pyx_t_20 = __pyx_v_k; + __pyx_t_21 = __pyx_v_i; + __pyx_t_22 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[2].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_24 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_20 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":612 + * for k in range(n_opinion_factors): + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_8 = __pyx_v_a_idx; + __pyx_t_25 = __pyx_v_j; + __pyx_t_24 = __pyx_v_o_idx; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i_idx; + __pyx_t_21 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_19 * __pyx_v_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_G3.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_24 * __pyx_v_O.strides[0]) ) + __pyx_t_23 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":613 + * del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] # <<<<<<<<<<<<<< + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + * + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_8 = __pyx_v_i_idx; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_o_idx; + __pyx_t_20 = __pyx_v_k; + __pyx_t_21 = __pyx_v_a_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_a.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_23 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_25 * __pyx_v_G3.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_8 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_20 * __pyx_v_O.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":614 + * del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + * del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] # <<<<<<<<<<<<<< + * + * for _ in prange(num_bpr_samples, schedule='guided'): + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_8 = __pyx_v_i_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_j; + __pyx_t_22 = __pyx_v_o_idx; + __pyx_t_21 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_o.diminfo[1].strides) += (((__pyx_v_del_sqerror * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_19 * __pyx_v_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_G3.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_8 * __pyx_v_I.strides[0]) ) + __pyx_t_25 * __pyx_v_I.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":616 + * del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + * + * for _ in prange(num_bpr_samples, schedule='guided'): # <<<<<<<<<<<<<< + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] + */ + __pyx_t_4 = __pyx_v_num_bpr_samples; + if ((1 == 0)) abort(); + { + __pyx_t_3 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_3 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_del_bpr) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_i_ij) lastprivate(__pyx_v_i_score) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_j_idx) lastprivate(__pyx_v_j_score) lastprivate(__pyx_v_jdx) lastprivate(__pyx_v_k) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_s) lastprivate(__pyx_v_u_idx) lastprivate(__pyx_v_z) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_3; __pyx_t_7++){ + { + __pyx_v__ = (long)(0 + 1 * __pyx_t_7); + /* Initialize private variables to invalid values */ + __pyx_v_del_bpr = ((double)__PYX_NAN()); + __pyx_v_i = ((long)0xbad0bad0); + __pyx_v_i_idx = ((long)0xbad0bad0); + __pyx_v_i_ij = ((double)__PYX_NAN()); + __pyx_v_i_score = ((double)__PYX_NAN()); + __pyx_v_idx = ((long)0xbad0bad0); + __pyx_v_j = ((long)0xbad0bad0); + __pyx_v_j_idx = ((long)0xbad0bad0); + __pyx_v_j_score = ((double)__PYX_NAN()); + __pyx_v_jdx = ((long)0xbad0bad0); + __pyx_v_k = ((long)0xbad0bad0); + __pyx_v_pred = ((double)__PYX_NAN()); + __pyx_v_s = ((long)0xbad0bad0); + __pyx_v_u_idx = ((long)0xbad0bad0); + __pyx_v_z = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":617 + * + * for _ in prange(num_bpr_samples, schedule='guided'): + * idx = rng_pos.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos->__pyx_vtab)->generate(__pyx_v_rng_pos, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":618 + * for _ in prange(num_bpr_samples, schedule='guided'): + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] # <<<<<<<<<<<<<< + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_u_idx = (*((long *) ( /* dim=0 */ (__pyx_v_user_ids.data + __pyx_t_23 * __pyx_v_user_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":619 + * idx = rng_pos.generate(thread_id) + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] # <<<<<<<<<<<<<< + * jdx = rng_neg.generate(thread_id) + * j_idx = neg_item_ids[jdx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_i_idx = (*((long *) ( /* dim=0 */ (__pyx_v_item_ids.data + __pyx_t_23 * __pyx_v_item_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":620 + * u_idx = user_ids[idx] + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) # <<<<<<<<<<<<<< + * j_idx = neg_item_ids[jdx] + * + */ + __pyx_v_jdx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_neg->__pyx_vtab)->generate(__pyx_v_rng_neg, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":621 + * i_idx = item_ids[idx] + * jdx = rng_neg.generate(thread_id) + * j_idx = neg_item_ids[jdx] # <<<<<<<<<<<<<< + * + * s = 1 + */ + __pyx_t_23 = __pyx_v_jdx; + __pyx_v_j_idx = (*((long *) ( /* dim=0 */ (__pyx_v_neg_item_ids.data + __pyx_t_23 * __pyx_v_neg_item_ids.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":623 + * j_idx = neg_item_ids[jdx] + * + * s = 1 # <<<<<<<<<<<<<< + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + */ + __pyx_v_s = 1; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":625 + * s = 1 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): # <<<<<<<<<<<<<< + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + */ + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_26 = (__pyx_fuse_2__pyx_f_6cornac_6models_3bpr_9recom_bpr_has_non_zero(__pyx_v_indptr, __pyx_v_item_ids, (*((long *) ( /* dim=0 */ (__pyx_v_user_ids.data + __pyx_t_23 * __pyx_v_user_ids.strides[0]) ))), __pyx_v_j_idx) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":626 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] # <<<<<<<<<<<<<< + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: + */ + __pyx_v_i_score = (__pyx_v_rating_dict->my_map[__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_v_u_idx, __pyx_v_i_idx)]); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":627 + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] # <<<<<<<<<<<<<< + * if i_score == j_score: + * skipped += 1 + */ + __pyx_v_j_score = (__pyx_v_rating_dict->my_map[__pyx_f_6cornac_6models_4mter_10recom_mter_get_key(__pyx_v_u_idx, __pyx_v_j_idx)]); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":628 + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: # <<<<<<<<<<<<<< + * skipped += 1 + * continue + */ + __pyx_t_26 = ((__pyx_v_i_score == __pyx_v_j_score) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":629 + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: + * skipped += 1 # <<<<<<<<<<<<<< + * continue + * elif i_score < j_score: + */ + __pyx_v_skipped = (__pyx_v_skipped + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":630 + * if i_score == j_score: + * skipped += 1 + * continue # <<<<<<<<<<<<<< + * elif i_score < j_score: + * s = -1 + */ + goto __pyx_L34_continue; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":628 + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + * if i_score == j_score: # <<<<<<<<<<<<<< + * skipped += 1 + * continue + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":631 + * skipped += 1 + * continue + * elif i_score < j_score: # <<<<<<<<<<<<<< + * s = -1 + * + */ + __pyx_t_26 = ((__pyx_v_i_score < __pyx_v_j_score) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":632 + * continue + * elif i_score < j_score: + * s = -1 # <<<<<<<<<<<<<< + * + * pred = ( + */ + __pyx_v_s = -1L; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":631 + * skipped += 1 + * continue + * elif i_score < j_score: # <<<<<<<<<<<<<< + * s = -1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":625 + * s = 1 + * # if the user has rated the item j, change sign if item j > item i + * if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): # <<<<<<<<<<<<<< + * i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + * j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":637 + * get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, n_aspects) + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + * ) * s # <<<<<<<<<<<<<< + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + */ + __pyx_v_pred = ((__pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_n_aspects) - __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_j_idx, __pyx_v_n_aspects)) * __pyx_v_s); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":638 + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + * ) * s + * z = (1.0 / (1.0 + exp(pred))) # <<<<<<<<<<<<<< + * if z < .5: + * correct += 1 + */ + __pyx_v_z = (1.0 / (1.0 + exp(__pyx_v_pred))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":639 + * ) * s + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * del_bpr = ld_bpr * z * s + */ + __pyx_t_26 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":640 + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + * correct += 1 # <<<<<<<<<<<<<< + * del_bpr = ld_bpr * z * s + * + */ + __pyx_v_correct = (__pyx_v_correct + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":639 + * ) * s + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * correct += 1 + * del_bpr = ld_bpr * z * s + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":641 + * if z < .5: + * correct += 1 + * del_bpr = ld_bpr * z * s # <<<<<<<<<<<<<< + * + * bpr_loss += log(1 / (1 + exp(-pred))) + */ + __pyx_v_del_bpr = ((__pyx_v_ld_bpr * __pyx_v_z) * __pyx_v_s); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":643 + * del_bpr = ld_bpr * z * s + * + * bpr_loss += log(1 / (1 + exp(-pred))) # <<<<<<<<<<<<<< + * + * for i in range(n_user_factors): + */ + __pyx_v_bpr_loss = (__pyx_v_bpr_loss + log((1.0 / (1.0 + exp((-__pyx_v_pred)))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":645 + * bpr_loss += log(1 / (1 + exp(-pred))) + * + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] + */ + __pyx_t_9 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_9; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":646 + * + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":647 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + */ + __pyx_t_23 = __pyx_v_i_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_j_idx; + __pyx_t_8 = __pyx_v_j; + __pyx_v_i_ij = ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_23 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) ))) - (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_25 * __pyx_v_I.strides[0]) ) + __pyx_t_8 * __pyx_v_I.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":648 + * for j in range(n_item_factors): + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":649 + * i_ij = I[i_idx, j] - I[j_idx, j] + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + */ + __pyx_t_8 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_n_aspects; + __pyx_t_23 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_20, __pyx_pybuffernd_del_g1.diminfo[2].strides) -= (((__pyx_v_del_bpr * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_8 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * __pyx_v_i_ij) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":650 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_8 = __pyx_v_n_aspects; + __pyx_t_20 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_18 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_u.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_23 * __pyx_v_G1.strides[0]) ) + __pyx_t_24 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * __pyx_v_i_ij) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_20 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":651 + * del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_18 = __pyx_v_n_aspects; + __pyx_t_19 = __pyx_v_k; + __pyx_t_21 = __pyx_v_i_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_8 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":652 + * del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] # <<<<<<<<<<<<<< + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_8 = __pyx_v_n_aspects; + __pyx_t_20 = __pyx_v_k; + __pyx_t_22 = __pyx_v_j_idx; + __pyx_t_21 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_19 * __pyx_v_G1.strides[0]) ) + __pyx_t_18 * __pyx_v_G1.strides[1]) ) + __pyx_t_23 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_20 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":653 + * del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij # <<<<<<<<<<<<<< + * + * for _ in prange(num_pair_samples, schedule='guided'): + */ + __pyx_t_20 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_18 = __pyx_v_n_aspects; + __pyx_t_19 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides) -= (((__pyx_v_del_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_8 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * __pyx_v_i_ij); + } + } + } + goto __pyx_L48; + __pyx_L34_continue:; + goto __pyx_L48; + __pyx_L48:; + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":655 + * del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + * + * for _ in prange(num_pair_samples, schedule='guided'): # <<<<<<<<<<<<<< + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] + */ + __pyx_t_4 = __pyx_v_num_pair_samples; + if ((1 == 0)) abort(); + { + __pyx_t_7 = (__pyx_t_4 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_7 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v__) lastprivate(__pyx_v__) lastprivate(__pyx_v_a_idx) lastprivate(__pyx_v_a_ji) lastprivate(__pyx_v_del_aspect_bpr) lastprivate(__pyx_v_i) lastprivate(__pyx_v_i_idx) lastprivate(__pyx_v_idx) lastprivate(__pyx_v_j) lastprivate(__pyx_v_j_idx) lastprivate(__pyx_v_k) lastprivate(__pyx_v_pred) lastprivate(__pyx_v_u_idx) lastprivate(__pyx_v_z) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_7; __pyx_t_3++){ + { + __pyx_v__ = (long)(0 + 1 * __pyx_t_3); + /* Initialize private variables to invalid values */ + __pyx_v_a_idx = ((long)0xbad0bad0); + __pyx_v_a_ji = ((double)__PYX_NAN()); + __pyx_v_del_aspect_bpr = ((double)__PYX_NAN()); + __pyx_v_i = ((long)0xbad0bad0); + __pyx_v_i_idx = ((long)0xbad0bad0); + __pyx_v_idx = ((long)0xbad0bad0); + __pyx_v_j = ((long)0xbad0bad0); + __pyx_v_j_idx = ((long)0xbad0bad0); + __pyx_v_k = ((long)0xbad0bad0); + __pyx_v_pred = ((double)__PYX_NAN()); + __pyx_v_u_idx = ((long)0xbad0bad0); + __pyx_v_z = ((double)__PYX_NAN()); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":656 + * + * for _ in prange(num_pair_samples, schedule='guided'): + * idx = rng_pos_pair.generate(thread_id) # <<<<<<<<<<<<<< + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] + */ + __pyx_v_idx = ((struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector *)__pyx_v_rng_pos_pair->__pyx_vtab)->generate(__pyx_v_rng_pos_pair, __pyx_v_thread_id); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":657 + * for _ in prange(num_pair_samples, schedule='guided'): + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] # <<<<<<<<<<<<<< + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_u_idx = (*((long *) ( /* dim=0 */ (__pyx_v_p_user_indices.data + __pyx_t_23 * __pyx_v_p_user_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":658 + * idx = rng_pos_pair.generate(thread_id) + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] # <<<<<<<<<<<<<< + * j_idx = later_indices[idx] + * a_idx = aspect_indices[idx] + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_i_idx = (*((long *) ( /* dim=0 */ (__pyx_v_earlier_indices.data + __pyx_t_23 * __pyx_v_earlier_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":659 + * u_idx = p_user_indices[idx] + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] # <<<<<<<<<<<<<< + * a_idx = aspect_indices[idx] + * + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_j_idx = (*((long *) ( /* dim=0 */ (__pyx_v_later_indices.data + __pyx_t_23 * __pyx_v_later_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":660 + * i_idx = earlier_indices[idx] + * j_idx = later_indices[idx] + * a_idx = aspect_indices[idx] # <<<<<<<<<<<<<< + * + * pred = ( + */ + __pyx_t_23 = __pyx_v_idx; + __pyx_v_a_idx = (*((long *) ( /* dim=0 */ (__pyx_v_aspect_indices.data + __pyx_t_23 * __pyx_v_aspect_indices.strides[0]) ))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":664 + * pred = ( + * get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, a_idx) + * - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) # <<<<<<<<<<<<<< + * ) + * + */ + __pyx_v_pred = (__pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_j_idx, __pyx_v_a_idx) - __pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score(__pyx_v_G1, __pyx_v_n_user_factors, __pyx_v_n_item_factors, __pyx_v_n_aspect_factors, __pyx_v_U, __pyx_v_I, __pyx_v_A, __pyx_v_u_idx, __pyx_v_i_idx, __pyx_v_a_idx)); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":667 + * ) + * + * z = (1.0 / (1.0 + exp(pred))) # <<<<<<<<<<<<<< + * if z < .5: + * aspect_correct += 1 + */ + __pyx_v_z = (1.0 / (1.0 + exp(__pyx_v_pred))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":668 + * + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * aspect_correct += 1 + * + */ + __pyx_t_26 = ((__pyx_v_z < .5) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":669 + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: + * aspect_correct += 1 # <<<<<<<<<<<<<< + * + * del_aspect_bpr = lambda_d * z + */ + __pyx_v_aspect_correct = (__pyx_v_aspect_correct + 1); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":668 + * + * z = (1.0 / (1.0 + exp(pred))) + * if z < .5: # <<<<<<<<<<<<<< + * aspect_correct += 1 + * + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":671 + * aspect_correct += 1 + * + * del_aspect_bpr = lambda_d * z # <<<<<<<<<<<<<< + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): + */ + __pyx_v_del_aspect_bpr = (__pyx_v_lambda_d * __pyx_v_z); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":672 + * + * del_aspect_bpr = lambda_d * z + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) # <<<<<<<<<<<<<< + * for i in range(n_user_factors): + * for j in range(n_item_factors): + */ + __pyx_v_aspect_bpr_loss = (__pyx_v_aspect_bpr_loss + log((1.0 / (1.0 + exp((-__pyx_v_pred)))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":673 + * del_aspect_bpr = lambda_d * z + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): # <<<<<<<<<<<<<< + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] + */ + __pyx_t_9 = __pyx_v_n_user_factors; + __pyx_t_10 = __pyx_t_9; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":674 + * aspect_bpr_loss += log(1 / (1 + exp(-pred))) + * for i in range(n_user_factors): + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): + */ + __pyx_t_12 = __pyx_v_n_item_factors; + __pyx_t_13 = __pyx_t_12; + for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) { + __pyx_v_j = __pyx_t_14; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":675 + * for i in range(n_user_factors): + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + */ + __pyx_t_23 = __pyx_v_j_idx; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i_idx; + __pyx_t_8 = __pyx_v_j; + __pyx_v_a_ji = ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_23 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) ))) - (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_25 * __pyx_v_I.strides[0]) ) + __pyx_t_8 * __pyx_v_I.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":676 + * for j in range(n_item_factors): + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + */ + __pyx_t_15 = __pyx_v_n_aspect_factors; + __pyx_t_16 = __pyx_t_15; + for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) { + __pyx_v_k = __pyx_t_17; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":677 + * a_ji = I[j_idx, j] - I[i_idx, j] + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] # <<<<<<<<<<<<<< + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_8 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_a_idx; + __pyx_t_23 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g1.diminfo[2].strides) -= (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_8 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * __pyx_v_a_ji) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_24 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":678 + * for k in range(n_aspect_factors): + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_8 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_k; + __pyx_t_19 = __pyx_v_u_idx; + __pyx_t_20 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_20, __pyx_pybuffernd_del_u.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_23 * __pyx_v_G1.strides[0]) ) + __pyx_t_24 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * __pyx_v_a_ji) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":679 + * del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_20 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_k; + __pyx_t_21 = __pyx_v_j_idx; + __pyx_t_22 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_8 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_20 * __pyx_v_A.strides[0]) ) + __pyx_t_19 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":680 + * del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] # <<<<<<<<<<<<<< + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_20 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_25 = __pyx_v_i; + __pyx_t_8 = __pyx_v_a_idx; + __pyx_t_18 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i_idx; + __pyx_t_21 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_i.diminfo[1].strides) += (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_19 * __pyx_v_G1.strides[0]) ) + __pyx_t_20 * __pyx_v_G1.strides[1]) ) + __pyx_t_23 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":681 + * del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + * del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji # <<<<<<<<<<<<<< + * + * # update params with AdaGrad + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_24 = __pyx_v_u_idx; + __pyx_t_23 = __pyx_v_i; + __pyx_t_20 = __pyx_v_a_idx; + __pyx_t_19 = __pyx_v_k; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides) -= (((__pyx_v_del_aspect_bpr * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_8 * __pyx_v_G1.strides[1]) ) + __pyx_t_25 * __pyx_v_G1.strides[2]) )))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_24 * __pyx_v_U.strides[0]) ) + __pyx_t_23 * __pyx_v_U.strides[1]) )))) * __pyx_v_a_ji); + } + } + } + } + } + } + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":558 + * del_a_reg.fill(0) + * del_o_reg.fill(0) + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * thread_id = get_thread_num() + * for _ in prange(num_samples, schedule='guided'): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L5; + } + __pyx_L5:; + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":684 + * + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + */ + { + #ifdef WITH_THREAD + PyThreadState *_save; + Py_UNBLOCK_THREADS + __Pyx_FastGIL_Remember(); + #endif + /*try:*/ { + { + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) (x) + #define unlikely(x) (x) + #endif + #ifdef _OPENMP + #pragma omp parallel private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_26, __pyx_t_3, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) + #endif /* _OPENMP */ + { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":685 + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): + * for i in prange(n_user_factors, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_users): + * if del_u[j, i] != 0: + */ + __pyx_t_7 = __pyx_v_n_user_factors; + if ((1 == 0)) abort(); + { + __pyx_t_9 = (__pyx_t_7 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_9 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_9; __pyx_t_3++){ + { + __pyx_v_i = (long)(0 + 1 * __pyx_t_3); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((long)0xbad0bad0); + __pyx_v_k = ((long)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":686 + * with nogil, parallel(num_threads=n_threads): + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): # <<<<<<<<<<<<<< + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + */ + __pyx_t_10 = __pyx_v_n_users; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":687 + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + * if del_u[j, i] != 0: # <<<<<<<<<<<<<< + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + */ + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":688 + * for j in range(n_users): + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] # <<<<<<<<<<<<<< + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + */ + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_u_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_u.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_u.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_8 * __pyx_v_U.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":687 + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + * if del_u[j, i] != 0: # <<<<<<<<<<<<<< + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":689 + * if del_u[j, i] != 0: + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] # <<<<<<<<<<<<<< + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: + */ + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_U.data + __pyx_t_19 * __pyx_v_sgrad_U.strides[0]) ) + __pyx_t_18 * __pyx_v_sgrad_U.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_u_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_u_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":690 + * del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] # <<<<<<<<<<<<<< + * if U[j, i] < 0: + * U[j, i] = 0 + */ + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_18 * __pyx_v_U.strides[0]) ) + __pyx_t_19 * __pyx_v_U.strides[1]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_U.data + __pyx_t_24 * __pyx_v_sgrad_U.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_U.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_u_reg.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_del_u_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":691 + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: # <<<<<<<<<<<<<< + * U[j, i] = 0 + * + */ + __pyx_t_8 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_26 = (((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_8 * __pyx_v_U.strides[0]) ) + __pyx_t_25 * __pyx_v_U.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":692 + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: + * U[j, i] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_item_factors): + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_U.data + __pyx_t_25 * __pyx_v_U.strides[0]) ) + __pyx_t_8 * __pyx_v_U.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":691 + * sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + * U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + * if U[j, i] < 0: # <<<<<<<<<<<<<< + * U[j, i] = 0 + * + */ + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":694 + * U[j, i] = 0 + * + * for j in range(n_item_factors): # <<<<<<<<<<<<<< + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: + */ + __pyx_t_10 = __pyx_v_n_item_factors; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":695 + * + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): # <<<<<<<<<<<<<< + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + */ + __pyx_t_13 = __pyx_v_n_aspect_factors; + __pyx_t_14 = __pyx_t_13; + for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_14; __pyx_t_15+=1) { + __pyx_v_k = __pyx_t_15; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":696 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + */ + __pyx_t_8 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":697 + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_k; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_22, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g1.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1.diminfo[1].strides, __pyx_t_8, __pyx_pybuffernd_del_g1.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_24 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":696 + * for j in range(n_item_factors): + * for k in range(n_aspect_factors): + * if del_g1[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":698 + * if del_g1[i, j, k] != 0: + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] # <<<<<<<<<<<<<< + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_8 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G1.data + __pyx_t_22 * __pyx_v_sgrad_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G1.strides[1]) ) + __pyx_t_20 * __pyx_v_sgrad_G1.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":699 + * del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] # <<<<<<<<<<<<<< + * if G1[i, j, k] < 0: + * G1[i, j, k] = 0 + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_k; + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_20 * __pyx_v_G1.strides[0]) ) + __pyx_t_21 * __pyx_v_G1.strides[1]) ) + __pyx_t_22 * __pyx_v_G1.strides[2]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G1.data + __pyx_t_23 * __pyx_v_sgrad_G1.strides[0]) ) + __pyx_t_25 * __pyx_v_sgrad_G1.strides[1]) ) + __pyx_t_8 * __pyx_v_sgrad_G1.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_g1_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g1_reg.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g1_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":700 + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: # <<<<<<<<<<<<<< + * G1[i, j, k] = 0 + * + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = (((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_18 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_24 * __pyx_v_G1.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":701 + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: + * G1[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_aspect_factors): + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G1.data + __pyx_t_24 * __pyx_v_G1.strides[0]) ) + __pyx_t_19 * __pyx_v_G1.strides[1]) ) + __pyx_t_18 * __pyx_v_G1.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":700 + * sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + * G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + * if G1[i, j, k] < 0: # <<<<<<<<<<<<<< + * G1[i, j, k] = 0 + * + */ + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":703 + * G1[i, j, k] = 0 + * + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: + */ + __pyx_t_10 = __pyx_v_n_aspect_factors; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":704 + * + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + */ + __pyx_t_13 = __pyx_v_n_opinion_factors; + __pyx_t_14 = __pyx_t_13; + for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_14; __pyx_t_15+=1) { + __pyx_v_k = __pyx_t_15; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":705 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":706 + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_8 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_20, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_g2.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g2.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_8 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_23 * __pyx_v_G2.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":705 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g2[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":707 + * if del_g2[i, j, k] != 0: + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] # <<<<<<<<<<<<<< + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G2.data + __pyx_t_20 * __pyx_v_sgrad_G2.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G2.strides[1]) ) + __pyx_t_22 * __pyx_v_sgrad_G2.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_8, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_24, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":708 + * del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] # <<<<<<<<<<<<<< + * if G2[i, j, k] < 0: + * G2[i, j, k] = 0 + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_8 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_22 * __pyx_v_G2.strides[0]) ) + __pyx_t_21 * __pyx_v_G2.strides[1]) ) + __pyx_t_20 * __pyx_v_G2.strides[2]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G2.data + __pyx_t_24 * __pyx_v_sgrad_G2.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_G2.strides[1]) ) + __pyx_t_18 * __pyx_v_sgrad_G2.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_del_g2_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_g2_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g2_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":709 + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: # <<<<<<<<<<<<<< + * G2[i, j, k] = 0 + * + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_k; + __pyx_t_26 = (((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_23 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_8 * __pyx_v_G2.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":710 + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: + * G2[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_item_factors, schedule='guided'): + */ + __pyx_t_8 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G2.data + __pyx_t_8 * __pyx_v_G2.strides[0]) ) + __pyx_t_25 * __pyx_v_G2.strides[1]) ) + __pyx_t_23 * __pyx_v_G2.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":709 + * sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + * G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + * if G2[i, j, k] < 0: # <<<<<<<<<<<<<< + * G2[i, j, k] = 0 + * + */ + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":712 + * G2[i, j, k] = 0 + * + * for i in prange(n_item_factors, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_items): + * if del_i[j, i] != 0: + */ + __pyx_t_9 = __pyx_v_n_item_factors; + if ((1 == 0)) abort(); + { + __pyx_t_7 = (__pyx_t_9 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_7 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) lastprivate(__pyx_v_k) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_7; __pyx_t_3++){ + { + __pyx_v_i = (long)(0 + 1 * __pyx_t_3); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((long)0xbad0bad0); + __pyx_v_k = ((long)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":713 + * + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): # <<<<<<<<<<<<<< + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + */ + __pyx_t_10 = __pyx_v_n_items; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":714 + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): + * if del_i[j, i] != 0: # <<<<<<<<<<<<<< + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + */ + __pyx_t_23 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_i.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":715 + * for j in range(n_items): + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] # <<<<<<<<<<<<<< + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_i_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_i.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_i.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_8 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":714 + * for i in prange(n_item_factors, schedule='guided'): + * for j in range(n_items): + * if del_i[j, i] != 0: # <<<<<<<<<<<<<< + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":716 + * if del_i[j, i] != 0: + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] # <<<<<<<<<<<<<< + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: + */ + __pyx_t_18 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_I.data + __pyx_t_24 * __pyx_v_sgrad_I.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_I.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_del_i_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_i_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":717 + * del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] # <<<<<<<<<<<<<< + * if I[j, i] < 0: + * I[j, i] = 0 + */ + __pyx_t_25 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_24 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_19 * __pyx_v_I.strides[0]) ) + __pyx_t_24 * __pyx_v_I.strides[1]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_I.data + __pyx_t_25 * __pyx_v_sgrad_I.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_I.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_del_i_reg.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_i_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":718 + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: # <<<<<<<<<<<<<< + * I[j, i] = 0 + * + */ + __pyx_t_18 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_26 = (((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_18 * __pyx_v_I.strides[0]) ) + __pyx_t_8 * __pyx_v_I.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":719 + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: + * I[j, i] = 0 # <<<<<<<<<<<<<< + * + * for j in range(n_aspect_factors): + */ + __pyx_t_8 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_I.data + __pyx_t_8 * __pyx_v_I.strides[0]) ) + __pyx_t_18 * __pyx_v_I.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":718 + * sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + * I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + * if I[j, i] < 0: # <<<<<<<<<<<<<< + * I[j, i] = 0 + * + */ + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":721 + * I[j, i] = 0 + * + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: + */ + __pyx_t_10 = __pyx_v_n_aspect_factors; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":722 + * + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + */ + __pyx_t_13 = __pyx_v_n_opinion_factors; + __pyx_t_14 = __pyx_t_13; + for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_14; __pyx_t_15+=1) { + __pyx_v_k = __pyx_t_15; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":723 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_26 = (((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[2].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":724 + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] # <<<<<<<<<<<<<< + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_21, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_22, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides) += ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_g3.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_del_g3.diminfo[1].strides, __pyx_t_18, __pyx_pybuffernd_del_g3.diminfo[2].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_25 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_19 * __pyx_v_G3.strides[2]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":723 + * for j in range(n_aspect_factors): + * for k in range(n_opinion_factors): + * if del_g3[i, j, k] != 0: # <<<<<<<<<<<<<< + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":725 + * if del_g3[i, j, k] != 0: + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] # <<<<<<<<<<<<<< + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_18 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_23 = __pyx_v_k; + __pyx_t_22 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_20 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G3.data + __pyx_t_22 * __pyx_v_sgrad_G3.strides[0]) ) + __pyx_t_21 * __pyx_v_sgrad_G3.strides[1]) ) + __pyx_t_20 * __pyx_v_sgrad_G3.strides[2]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_25, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides)) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_23, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":726 + * del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] # <<<<<<<<<<<<<< + * if G3[i, j, k] < 0: + * G3[i, j, k] = 0 + */ + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + __pyx_t_18 = __pyx_v_k; + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + __pyx_t_20 = __pyx_v_i; + __pyx_t_21 = __pyx_v_j; + __pyx_t_22 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_20 * __pyx_v_G3.strides[0]) ) + __pyx_t_21 * __pyx_v_G3.strides[1]) ) + __pyx_t_22 * __pyx_v_G3.strides[2]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_G3.data + __pyx_t_23 * __pyx_v_sgrad_G3.strides[0]) ) + __pyx_t_8 * __pyx_v_sgrad_G3.strides[1]) ) + __pyx_t_18 * __pyx_v_sgrad_G3.strides[2]) ))))) * (*__Pyx_BufPtrStrided3d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_g3_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_g3_reg.diminfo[1].strides, __pyx_t_19, __pyx_pybuffernd_del_g3_reg.diminfo[2].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":727 + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: # <<<<<<<<<<<<<< + * G3[i, j, k] = 0 + * + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_25 = __pyx_v_k; + __pyx_t_26 = (((*((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_19 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_25 * __pyx_v_G3.strides[2]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":728 + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: + * G3[i, j, k] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_aspects + 1, schedule='guided'): + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_19 = __pyx_v_k; + *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_G3.data + __pyx_t_25 * __pyx_v_G3.strides[0]) ) + __pyx_t_24 * __pyx_v_G3.strides[1]) ) + __pyx_t_19 * __pyx_v_G3.strides[2]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":727 + * sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + * G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + * if G3[i, j, k] < 0: # <<<<<<<<<<<<<< + * G3[i, j, k] = 0 + * + */ + } + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":730 + * G3[i, j, k] = 0 + * + * for i in prange(n_aspects + 1, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: + */ + __pyx_t_7 = (__pyx_v_n_aspects + 1); + if ((1 == 0)) abort(); + { + __pyx_t_9 = (__pyx_t_7 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_9 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_9; __pyx_t_3++){ + { + __pyx_v_i = (long)(0 + 1 * __pyx_t_3); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((long)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":731 + * + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): # <<<<<<<<<<<<<< + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + */ + __pyx_t_10 = __pyx_v_n_aspect_factors; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":732 + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: # <<<<<<<<<<<<<< + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":733 + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] # <<<<<<<<<<<<<< + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_del_a_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_a.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_a.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":732 + * for i in prange(n_aspects + 1, schedule='guided'): + * for j in range(n_aspect_factors): + * if del_a[i, j] != 0: # <<<<<<<<<<<<<< + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":734 + * if del_a[i, j] != 0: + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] # <<<<<<<<<<<<<< + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_A.data + __pyx_t_23 * __pyx_v_sgrad_A.strides[0]) ) + __pyx_t_8 * __pyx_v_sgrad_A.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_a_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_a_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":735 + * del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] # <<<<<<<<<<<<<< + * if A[i, j] < 0: + * A[i, j] = 0 + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_23 * __pyx_v_A.strides[1]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_A.data + __pyx_t_24 * __pyx_v_sgrad_A.strides[0]) ) + __pyx_t_19 * __pyx_v_sgrad_A.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_a_reg.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_a_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":736 + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: # <<<<<<<<<<<<<< + * A[i, j] = 0 + * + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_26 = (((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_18 * __pyx_v_A.strides[0]) ) + __pyx_t_25 * __pyx_v_A.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":737 + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: + * A[i, j] = 0 # <<<<<<<<<<<<<< + * + * for i in prange(n_opinions, schedule='guided'): + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_25 * __pyx_v_A.strides[0]) ) + __pyx_t_18 * __pyx_v_A.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":736 + * sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + * A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + * if A[i, j] < 0: # <<<<<<<<<<<<<< + * A[i, j] = 0 + * + */ + } + } + } + } + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":739 + * A[i, j] = 0 + * + * for i in prange(n_opinions, schedule='guided'): # <<<<<<<<<<<<<< + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: + */ + __pyx_t_9 = __pyx_v_n_opinions; + if ((1 == 0)) abort(); + { + __pyx_t_7 = (__pyx_t_9 - 0 + 1 - 1/abs(1)) / 1; + if (__pyx_t_7 > 0) + { + #ifdef _OPENMP + #pragma omp for firstprivate(__pyx_v_i) lastprivate(__pyx_v_i) lastprivate(__pyx_v_j) schedule(guided) + #endif /* _OPENMP */ + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_7; __pyx_t_3++){ + { + __pyx_v_i = (long)(0 + 1 * __pyx_t_3); + /* Initialize private variables to invalid values */ + __pyx_v_j = ((long)0xbad0bad0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":740 + * + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): # <<<<<<<<<<<<<< + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + */ + __pyx_t_10 = __pyx_v_n_opinion_factors; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_j = __pyx_t_12; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":741 + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: # <<<<<<<<<<<<<< + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + */ + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_26 = (((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_o.diminfo[1].strides)) != 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":742 + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] # <<<<<<<<<<<<<< + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_del_o_reg.diminfo[1].strides) += ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_del_o.diminfo[0].strides, __pyx_t_18, __pyx_pybuffernd_del_o.diminfo[1].strides)) + (__pyx_v_ld_reg * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) ))))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":741 + * for i in prange(n_opinions, schedule='guided'): + * for j in range(n_opinion_factors): + * if del_o[i, j] != 0: # <<<<<<<<<<<<<< + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + */ + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":743 + * if del_o[i, j] != 0: + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] # <<<<<<<<<<<<<< + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_18 = __pyx_v_i; + __pyx_t_25 = __pyx_v_j; + __pyx_t_8 = __pyx_v_i; + __pyx_t_23 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_O.data + __pyx_t_8 * __pyx_v_sgrad_O.strides[0]) ) + __pyx_t_23 * __pyx_v_sgrad_O.strides[1]) )) += (__pyx_v_eps + ((*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_19, __pyx_pybuffernd_del_o_reg.diminfo[1].strides)) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_25, __pyx_pybuffernd_del_o_reg.diminfo[1].strides)))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":744 + * del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] # <<<<<<<<<<<<<< + * if O[i, j] < 0: + * O[i, j] = 0 + */ + __pyx_t_25 = __pyx_v_i; + __pyx_t_18 = __pyx_v_j; + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + __pyx_t_23 = __pyx_v_i; + __pyx_t_8 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_23 * __pyx_v_O.strides[0]) ) + __pyx_t_8 * __pyx_v_O.strides[1]) )) -= ((__pyx_v_lr / sqrt((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_sgrad_O.data + __pyx_t_25 * __pyx_v_sgrad_O.strides[0]) ) + __pyx_t_18 * __pyx_v_sgrad_O.strides[1]) ))))) * (*__Pyx_BufPtrStrided2d(__pyx_t_5numpy_float32_t *, __pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_del_o_reg.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_del_o_reg.diminfo[1].strides))); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":745 + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: # <<<<<<<<<<<<<< + * O[i, j] = 0 + * + */ + __pyx_t_24 = __pyx_v_i; + __pyx_t_19 = __pyx_v_j; + __pyx_t_26 = (((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_24 * __pyx_v_O.strides[0]) ) + __pyx_t_19 * __pyx_v_O.strides[1]) ))) < 0.0) != 0); + if (__pyx_t_26) { + + /* "cornac/models/comparer/recom_comparer_sub.pyx":746 + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: + * O[i, j] = 0 # <<<<<<<<<<<<<< + * + * return correct, skipped, loss, bpr_loss + */ + __pyx_t_19 = __pyx_v_i; + __pyx_t_24 = __pyx_v_j; + *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_O.data + __pyx_t_19 * __pyx_v_O.strides[0]) ) + __pyx_t_24 * __pyx_v_O.strides[1]) )) = 0.0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":745 + * sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + * O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + * if O[i, j] < 0: # <<<<<<<<<<<<<< + * O[i, j] = 0 + * + */ + } + } + } + } + } + } + } + } + #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))) + #undef likely + #undef unlikely + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) + #endif + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":684 + * + * # update params with AdaGrad + * with nogil, parallel(num_threads=n_threads): # <<<<<<<<<<<<<< + * for i in prange(n_user_factors, schedule='guided'): + * for j in range(n_users): + */ + /*finally:*/ { + /*normal exit:*/{ + #ifdef WITH_THREAD + __Pyx_FastGIL_Forget(); + Py_BLOCK_THREADS + #endif + goto __pyx_L66; + } + __pyx_L66:; + } + } + + /* "cornac/models/comparer/recom_comparer_sub.pyx":748 + * O[i, j] = 0 + * + * return correct, skipped, loss, bpr_loss # <<<<<<<<<<<<<< + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyInt_From_long(__pyx_v_correct); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyInt_From_long(__pyx_v_skipped); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_6 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_27 = PyFloat_FromDouble(__pyx_v_bpr_loss); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_27); + __pyx_t_28 = PyTuple_New(4); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 748, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_28); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_28, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_28, 1, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_28, 2, __pyx_t_6); + __Pyx_GIVEREF(__pyx_t_27); + PyTuple_SET_ITEM(__pyx_t_28, 3, __pyx_t_27); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_6 = 0; + __pyx_t_27 = 0; + __pyx_r = __pyx_t_28; + __pyx_t_28 = 0; + goto __pyx_L0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":475 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_mter( # <<<<<<<<<<<<<< + * self, + * RNGVector rng_pos_uia, + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_27); + __Pyx_XDECREF(__pyx_t_28); + { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer); + __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} + __Pyx_AddTraceback("cornac.models.comparer.recom_comparer_sub.ComparERSub._fit_mter", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + goto __pyx_L2; + __pyx_L0:; + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_a_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g1_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g2_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_g3_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_i_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_o_reg.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u.rcbuffer->pybuffer); + __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_del_u_reg.rcbuffer->pybuffer); + __pyx_L2:; + __PYX_XDEC_MEMVIEW(&__pyx_v_X, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_X_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_uids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YU_oids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_iids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_aids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_YI_oids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_user_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_item_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_neg_item_ids, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_indptr, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_p_user_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_earlier_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_later_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_aspect_indices, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_pair_counts, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_G3, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_U, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_I, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_O, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G1, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G2, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_G3, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_U, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_I, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_A, 1); + __PYX_XDEC_MEMVIEW(&__pyx_v_sgrad_O, 1); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":258 + * # experimental exception made for __getbuffer__ and __releasebuffer__ + * # -- the details of this may change. + * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< + * # This implementation of getbuffer is geared towards Cython + * # requirements, and does not yet fulfill the PEP. + */ + +/* Python wrapper */ +static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); + __pyx_r = __pyx_pf_5numpy_7ndarray___getbuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { + int __pyx_v_i; + int __pyx_v_ndim; + int __pyx_v_endian_detector; + int __pyx_v_little_endian; + int __pyx_v_t; + char *__pyx_v_f; + PyArray_Descr *__pyx_v_descr = 0; + int __pyx_v_offset; + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + int __pyx_t_5; + int __pyx_t_6; + PyArray_Descr *__pyx_t_7; + PyObject *__pyx_t_8 = NULL; + char *__pyx_t_9; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + if (__pyx_v_info == NULL) { + PyErr_SetString(PyExc_BufferError, "PyObject_GetBuffer: view==NULL argument is obsolete"); + return -1; + } + __Pyx_RefNannySetupContext("__getbuffer__", 0); + __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(__pyx_v_info->obj); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":265 + * + * cdef int i, ndim + * cdef int endian_detector = 1 # <<<<<<<<<<<<<< + * cdef bint little_endian = ((&endian_detector)[0] != 0) + * + */ + __pyx_v_endian_detector = 1; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":266 + * cdef int i, ndim + * cdef int endian_detector = 1 + * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< + * + * ndim = PyArray_NDIM(self) + */ + __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":268 + * cdef bint little_endian = ((&endian_detector)[0] != 0) + * + * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< + * + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) + */ + __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":270 + * ndim = PyArray_NDIM(self) + * + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): + * raise ValueError(u"ndarray is not C contiguous") + */ + __pyx_t_2 = (((__pyx_v_flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L4_bool_binop_done; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":271 + * + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< + * raise ValueError(u"ndarray is not C contiguous") + * + */ + __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_ARRAY_C_CONTIGUOUS) != 0)) != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L4_bool_binop_done:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":270 + * ndim = PyArray_NDIM(self) + * + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): + * raise ValueError(u"ndarray is not C contiguous") + */ + if (unlikely(__pyx_t_1)) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":272 + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): + * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< + * + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__10, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(1, 272, __pyx_L1_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":270 + * ndim = PyArray_NDIM(self) + * + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): + * raise ValueError(u"ndarray is not C contiguous") + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":274 + * raise ValueError(u"ndarray is not C contiguous") + * + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): + * raise ValueError(u"ndarray is not Fortran contiguous") + */ + __pyx_t_2 = (((__pyx_v_flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L7_bool_binop_done; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":275 + * + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< + * raise ValueError(u"ndarray is not Fortran contiguous") + * + */ + __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_ARRAY_F_CONTIGUOUS) != 0)) != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L7_bool_binop_done:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":274 + * raise ValueError(u"ndarray is not C contiguous") + * + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): + * raise ValueError(u"ndarray is not Fortran contiguous") + */ + if (unlikely(__pyx_t_1)) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":276 + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): + * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< + * + * info.buf = PyArray_DATA(self) + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__11, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(1, 276, __pyx_L1_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":274 + * raise ValueError(u"ndarray is not C contiguous") + * + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): + * raise ValueError(u"ndarray is not Fortran contiguous") + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":278 + * raise ValueError(u"ndarray is not Fortran contiguous") + * + * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< + * info.ndim = ndim + * if sizeof(npy_intp) != sizeof(Py_ssize_t): + */ + __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":279 + * + * info.buf = PyArray_DATA(self) + * info.ndim = ndim # <<<<<<<<<<<<<< + * if sizeof(npy_intp) != sizeof(Py_ssize_t): + * # Allocate new buffer for strides and shape info. + */ + __pyx_v_info->ndim = __pyx_v_ndim; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":280 + * info.buf = PyArray_DATA(self) + * info.ndim = ndim + * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< + * # Allocate new buffer for strides and shape info. + * # This is allocated as one block, strides first. + */ + __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); + if (__pyx_t_1) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":283 + * # Allocate new buffer for strides and shape info. + * # This is allocated as one block, strides first. + * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) # <<<<<<<<<<<<<< + * info.shape = info.strides + ndim + * for i in range(ndim): + */ + __pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim)))); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":284 + * # This is allocated as one block, strides first. + * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) + * info.shape = info.strides + ndim # <<<<<<<<<<<<<< + * for i in range(ndim): + * info.strides[i] = PyArray_STRIDES(self)[i] + */ + __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":285 + * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) + * info.shape = info.strides + ndim + * for i in range(ndim): # <<<<<<<<<<<<<< + * info.strides[i] = PyArray_STRIDES(self)[i] + * info.shape[i] = PyArray_DIMS(self)[i] + */ + __pyx_t_4 = __pyx_v_ndim; + __pyx_t_5 = __pyx_t_4; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":286 + * info.shape = info.strides + ndim + * for i in range(ndim): + * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< + * info.shape[i] = PyArray_DIMS(self)[i] + * else: + */ + (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":287 + * for i in range(ndim): + * info.strides[i] = PyArray_STRIDES(self)[i] + * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< + * else: + * info.strides = PyArray_STRIDES(self) + */ + (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":280 + * info.buf = PyArray_DATA(self) + * info.ndim = ndim + * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< + * # Allocate new buffer for strides and shape info. + * # This is allocated as one block, strides first. + */ + goto __pyx_L9; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":289 + * info.shape[i] = PyArray_DIMS(self)[i] + * else: + * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< + * info.shape = PyArray_DIMS(self) + * info.suboffsets = NULL + */ + /*else*/ { + __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":290 + * else: + * info.strides = PyArray_STRIDES(self) + * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< + * info.suboffsets = NULL + * info.itemsize = PyArray_ITEMSIZE(self) + */ + __pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(__pyx_v_self)); + } + __pyx_L9:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":291 + * info.strides = PyArray_STRIDES(self) + * info.shape = PyArray_DIMS(self) + * info.suboffsets = NULL # <<<<<<<<<<<<<< + * info.itemsize = PyArray_ITEMSIZE(self) + * info.readonly = not PyArray_ISWRITEABLE(self) + */ + __pyx_v_info->suboffsets = NULL; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":292 + * info.shape = PyArray_DIMS(self) + * info.suboffsets = NULL + * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< + * info.readonly = not PyArray_ISWRITEABLE(self) + * + */ + __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":293 + * info.suboffsets = NULL + * info.itemsize = PyArray_ITEMSIZE(self) + * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< + * + * cdef int t + */ + __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":296 + * + * cdef int t + * cdef char* f = NULL # <<<<<<<<<<<<<< + * cdef dtype descr = PyArray_DESCR(self) + * cdef int offset + */ + __pyx_v_f = NULL; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":297 + * cdef int t + * cdef char* f = NULL + * cdef dtype descr = PyArray_DESCR(self) # <<<<<<<<<<<<<< + * cdef int offset + * + */ + __pyx_t_7 = PyArray_DESCR(__pyx_v_self); + __pyx_t_3 = ((PyObject *)__pyx_t_7); + __Pyx_INCREF(__pyx_t_3); + __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":300 + * cdef int offset + * + * info.obj = self # <<<<<<<<<<<<<< + * + * if not PyDataType_HASFIELDS(descr): + */ + __Pyx_INCREF(((PyObject *)__pyx_v_self)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); + __pyx_v_info->obj = ((PyObject *)__pyx_v_self); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":302 + * info.obj = self + * + * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< + * t = descr.type_num + * if ((descr.byteorder == c'>' and little_endian) or + */ + __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0); + if (__pyx_t_1) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":303 + * + * if not PyDataType_HASFIELDS(descr): + * t = descr.type_num # <<<<<<<<<<<<<< + * if ((descr.byteorder == c'>' and little_endian) or + * (descr.byteorder == c'<' and not little_endian)): + */ + __pyx_t_4 = __pyx_v_descr->type_num; + __pyx_v_t = __pyx_t_4; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":304 + * if not PyDataType_HASFIELDS(descr): + * t = descr.type_num + * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< + * (descr.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + */ + __pyx_t_2 = ((__pyx_v_descr->byteorder == '>') != 0); + if (!__pyx_t_2) { + goto __pyx_L15_next_or; + } else { + } + __pyx_t_2 = (__pyx_v_little_endian != 0); + if (!__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L14_bool_binop_done; + } + __pyx_L15_next_or:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":305 + * t = descr.type_num + * if ((descr.byteorder == c'>' and little_endian) or + * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< + * raise ValueError(u"Non-native byte order not supported") + * if t == NPY_BYTE: f = "b" + */ + __pyx_t_2 = ((__pyx_v_descr->byteorder == '<') != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L14_bool_binop_done; + } + __pyx_t_2 = ((!(__pyx_v_little_endian != 0)) != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L14_bool_binop_done:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":304 + * if not PyDataType_HASFIELDS(descr): + * t = descr.type_num + * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< + * (descr.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + */ + if (unlikely(__pyx_t_1)) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":306 + * if ((descr.byteorder == c'>' and little_endian) or + * (descr.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< + * if t == NPY_BYTE: f = "b" + * elif t == NPY_UBYTE: f = "B" + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__12, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(1, 306, __pyx_L1_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":304 + * if not PyDataType_HASFIELDS(descr): + * t = descr.type_num + * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< + * (descr.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":307 + * (descr.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< + * elif t == NPY_UBYTE: f = "B" + * elif t == NPY_SHORT: f = "h" + */ + switch (__pyx_v_t) { + case NPY_BYTE: + __pyx_v_f = ((char *)"b"); + break; + case NPY_UBYTE: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":308 + * raise ValueError(u"Non-native byte order not supported") + * if t == NPY_BYTE: f = "b" + * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< + * elif t == NPY_SHORT: f = "h" + * elif t == NPY_USHORT: f = "H" + */ + __pyx_v_f = ((char *)"B"); + break; + case NPY_SHORT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":309 + * if t == NPY_BYTE: f = "b" + * elif t == NPY_UBYTE: f = "B" + * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< + * elif t == NPY_USHORT: f = "H" + * elif t == NPY_INT: f = "i" + */ + __pyx_v_f = ((char *)"h"); + break; + case NPY_USHORT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":310 + * elif t == NPY_UBYTE: f = "B" + * elif t == NPY_SHORT: f = "h" + * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< + * elif t == NPY_INT: f = "i" + * elif t == NPY_UINT: f = "I" + */ + __pyx_v_f = ((char *)"H"); + break; + case NPY_INT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":311 + * elif t == NPY_SHORT: f = "h" + * elif t == NPY_USHORT: f = "H" + * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< + * elif t == NPY_UINT: f = "I" + * elif t == NPY_LONG: f = "l" + */ + __pyx_v_f = ((char *)"i"); + break; + case NPY_UINT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":312 + * elif t == NPY_USHORT: f = "H" + * elif t == NPY_INT: f = "i" + * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< + * elif t == NPY_LONG: f = "l" + * elif t == NPY_ULONG: f = "L" + */ + __pyx_v_f = ((char *)"I"); + break; + case NPY_LONG: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":313 + * elif t == NPY_INT: f = "i" + * elif t == NPY_UINT: f = "I" + * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< + * elif t == NPY_ULONG: f = "L" + * elif t == NPY_LONGLONG: f = "q" + */ + __pyx_v_f = ((char *)"l"); + break; + case NPY_ULONG: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":314 + * elif t == NPY_UINT: f = "I" + * elif t == NPY_LONG: f = "l" + * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< + * elif t == NPY_LONGLONG: f = "q" + * elif t == NPY_ULONGLONG: f = "Q" + */ + __pyx_v_f = ((char *)"L"); + break; + case NPY_LONGLONG: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":315 + * elif t == NPY_LONG: f = "l" + * elif t == NPY_ULONG: f = "L" + * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< + * elif t == NPY_ULONGLONG: f = "Q" + * elif t == NPY_FLOAT: f = "f" + */ + __pyx_v_f = ((char *)"q"); + break; + case NPY_ULONGLONG: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":316 + * elif t == NPY_ULONG: f = "L" + * elif t == NPY_LONGLONG: f = "q" + * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< + * elif t == NPY_FLOAT: f = "f" + * elif t == NPY_DOUBLE: f = "d" + */ + __pyx_v_f = ((char *)"Q"); + break; + case NPY_FLOAT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":317 + * elif t == NPY_LONGLONG: f = "q" + * elif t == NPY_ULONGLONG: f = "Q" + * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< + * elif t == NPY_DOUBLE: f = "d" + * elif t == NPY_LONGDOUBLE: f = "g" + */ + __pyx_v_f = ((char *)"f"); + break; + case NPY_DOUBLE: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":318 + * elif t == NPY_ULONGLONG: f = "Q" + * elif t == NPY_FLOAT: f = "f" + * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< + * elif t == NPY_LONGDOUBLE: f = "g" + * elif t == NPY_CFLOAT: f = "Zf" + */ + __pyx_v_f = ((char *)"d"); + break; + case NPY_LONGDOUBLE: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":319 + * elif t == NPY_FLOAT: f = "f" + * elif t == NPY_DOUBLE: f = "d" + * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< + * elif t == NPY_CFLOAT: f = "Zf" + * elif t == NPY_CDOUBLE: f = "Zd" + */ + __pyx_v_f = ((char *)"g"); + break; + case NPY_CFLOAT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":320 + * elif t == NPY_DOUBLE: f = "d" + * elif t == NPY_LONGDOUBLE: f = "g" + * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< + * elif t == NPY_CDOUBLE: f = "Zd" + * elif t == NPY_CLONGDOUBLE: f = "Zg" + */ + __pyx_v_f = ((char *)"Zf"); + break; + case NPY_CDOUBLE: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":321 + * elif t == NPY_LONGDOUBLE: f = "g" + * elif t == NPY_CFLOAT: f = "Zf" + * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< + * elif t == NPY_CLONGDOUBLE: f = "Zg" + * elif t == NPY_OBJECT: f = "O" + */ + __pyx_v_f = ((char *)"Zd"); + break; + case NPY_CLONGDOUBLE: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":322 + * elif t == NPY_CFLOAT: f = "Zf" + * elif t == NPY_CDOUBLE: f = "Zd" + * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< + * elif t == NPY_OBJECT: f = "O" + * else: + */ + __pyx_v_f = ((char *)"Zg"); + break; + case NPY_OBJECT: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":323 + * elif t == NPY_CDOUBLE: f = "Zd" + * elif t == NPY_CLONGDOUBLE: f = "Zg" + * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< + * else: + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) + */ + __pyx_v_f = ((char *)"O"); + break; + default: + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":325 + * elif t == NPY_OBJECT: f = "O" + * else: + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< + * info.format = f + * return + */ + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_t); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 325, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = PyUnicode_Format(__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 325, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_8); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 325, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(1, 325, __pyx_L1_error) + break; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":326 + * else: + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) + * info.format = f # <<<<<<<<<<<<<< + * return + * else: + */ + __pyx_v_info->format = __pyx_v_f; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":327 + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) + * info.format = f + * return # <<<<<<<<<<<<<< + * else: + * info.format = PyObject_Malloc(_buffer_format_string_len) + */ + __pyx_r = 0; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":302 + * info.obj = self + * + * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< + * t = descr.type_num + * if ((descr.byteorder == c'>' and little_endian) or + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":329 + * return + * else: + * info.format = PyObject_Malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< + * info.format[0] = c'^' # Native data types, manual alignment + * offset = 0 + */ + /*else*/ { + __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF)); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":330 + * else: + * info.format = PyObject_Malloc(_buffer_format_string_len) + * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< + * offset = 0 + * f = _util_dtypestring(descr, info.format + 1, + */ + (__pyx_v_info->format[0]) = '^'; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":331 + * info.format = PyObject_Malloc(_buffer_format_string_len) + * info.format[0] = c'^' # Native data types, manual alignment + * offset = 0 # <<<<<<<<<<<<<< + * f = _util_dtypestring(descr, info.format + 1, + * info.format + _buffer_format_string_len, + */ + __pyx_v_offset = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":332 + * info.format[0] = c'^' # Native data types, manual alignment + * offset = 0 + * f = _util_dtypestring(descr, info.format + 1, # <<<<<<<<<<<<<< + * info.format + _buffer_format_string_len, + * &offset) + */ + __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 332, __pyx_L1_error) + __pyx_v_f = __pyx_t_9; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":335 + * info.format + _buffer_format_string_len, + * &offset) + * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< + * + * def __releasebuffer__(ndarray self, Py_buffer* info): + */ + (__pyx_v_f[0]) = '\x00'; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":258 + * # experimental exception made for __getbuffer__ and __releasebuffer__ + * # -- the details of this may change. + * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< + * # This implementation of getbuffer is geared towards Cython + * # requirements, and does not yet fulfill the PEP. + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("numpy.ndarray.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + if (__pyx_v_info->obj != NULL) { + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0; + } + goto __pyx_L2; + __pyx_L0:; + if (__pyx_v_info->obj == Py_None) { + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0; + } + __pyx_L2:; + __Pyx_XDECREF((PyObject *)__pyx_v_descr); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":337 + * f[0] = c'\0' # Terminate format string + * + * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< + * if PyArray_HASFIELDS(self): + * PyObject_Free(info.format) + */ + +/* Python wrapper */ +static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info); /*proto*/ +static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__releasebuffer__ (wrapper)", 0); + __pyx_pf_5numpy_7ndarray_2__releasebuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info) { + __Pyx_RefNannyDeclarations + int __pyx_t_1; + __Pyx_RefNannySetupContext("__releasebuffer__", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":338 + * + * def __releasebuffer__(ndarray self, Py_buffer* info): + * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< + * PyObject_Free(info.format) + * if sizeof(npy_intp) != sizeof(Py_ssize_t): + */ + __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); + if (__pyx_t_1) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":339 + * def __releasebuffer__(ndarray self, Py_buffer* info): + * if PyArray_HASFIELDS(self): + * PyObject_Free(info.format) # <<<<<<<<<<<<<< + * if sizeof(npy_intp) != sizeof(Py_ssize_t): + * PyObject_Free(info.strides) + */ + PyObject_Free(__pyx_v_info->format); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":338 + * + * def __releasebuffer__(ndarray self, Py_buffer* info): + * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< + * PyObject_Free(info.format) + * if sizeof(npy_intp) != sizeof(Py_ssize_t): + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":340 + * if PyArray_HASFIELDS(self): + * PyObject_Free(info.format) + * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< + * PyObject_Free(info.strides) + * # info.shape was stored after info.strides in the same block + */ + __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); + if (__pyx_t_1) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":341 + * PyObject_Free(info.format) + * if sizeof(npy_intp) != sizeof(Py_ssize_t): + * PyObject_Free(info.strides) # <<<<<<<<<<<<<< + * # info.shape was stored after info.strides in the same block + * + */ + PyObject_Free(__pyx_v_info->strides); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":340 + * if PyArray_HASFIELDS(self): + * PyObject_Free(info.format) + * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< + * PyObject_Free(info.strides) + * # info.shape was stored after info.strides in the same block + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":337 + * f[0] = c'\0' # Terminate format string + * + * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< + * if PyArray_HASFIELDS(self): + * PyObject_Free(info.format) + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":820 + * ctypedef npy_cdouble complex_t + * + * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(1, a) + * + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__pyx_v_a) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":821 + * + * cdef inline object PyArray_MultiIterNew1(a): + * return PyArray_MultiIterNew(1, a) # <<<<<<<<<<<<<< + * + * cdef inline object PyArray_MultiIterNew2(a, b): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyArray_MultiIterNew(1, ((void *)__pyx_v_a)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 821, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":820 + * ctypedef npy_cdouble complex_t + * + * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(1, a) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("numpy.PyArray_MultiIterNew1", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":823 + * return PyArray_MultiIterNew(1, a) + * + * cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(2, a, b) + * + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__pyx_v_a, PyObject *__pyx_v_b) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":824 + * + * cdef inline object PyArray_MultiIterNew2(a, b): + * return PyArray_MultiIterNew(2, a, b) # <<<<<<<<<<<<<< + * + * cdef inline object PyArray_MultiIterNew3(a, b, c): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyArray_MultiIterNew(2, ((void *)__pyx_v_a), ((void *)__pyx_v_b)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 824, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":823 + * return PyArray_MultiIterNew(1, a) + * + * cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(2, a, b) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("numpy.PyArray_MultiIterNew2", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":826 + * return PyArray_MultiIterNew(2, a, b) + * + * cdef inline object PyArray_MultiIterNew3(a, b, c): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(3, a, b, c) + * + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":827 + * + * cdef inline object PyArray_MultiIterNew3(a, b, c): + * return PyArray_MultiIterNew(3, a, b, c) # <<<<<<<<<<<<<< + * + * cdef inline object PyArray_MultiIterNew4(a, b, c, d): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyArray_MultiIterNew(3, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 827, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":826 + * return PyArray_MultiIterNew(2, a, b) + * + * cdef inline object PyArray_MultiIterNew3(a, b, c): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(3, a, b, c) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("numpy.PyArray_MultiIterNew3", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":829 + * return PyArray_MultiIterNew(3, a, b, c) + * + * cdef inline object PyArray_MultiIterNew4(a, b, c, d): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(4, a, b, c, d) + * + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":830 + * + * cdef inline object PyArray_MultiIterNew4(a, b, c, d): + * return PyArray_MultiIterNew(4, a, b, c, d) # <<<<<<<<<<<<<< + * + * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyArray_MultiIterNew(4, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 830, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":829 + * return PyArray_MultiIterNew(3, a, b, c) + * + * cdef inline object PyArray_MultiIterNew4(a, b, c, d): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(4, a, b, c, d) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("numpy.PyArray_MultiIterNew4", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":832 + * return PyArray_MultiIterNew(4, a, b, c, d) + * + * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(5, a, b, c, d, e) + * + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d, PyObject *__pyx_v_e) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":833 + * + * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): + * return PyArray_MultiIterNew(5, a, b, c, d, e) # <<<<<<<<<<<<<< + * + * cdef inline tuple PyDataType_SHAPE(dtype d): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyArray_MultiIterNew(5, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d), ((void *)__pyx_v_e)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 833, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":832 + * return PyArray_MultiIterNew(4, a, b, c, d) + * + * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<< + * return PyArray_MultiIterNew(5, a, b, c, d, e) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("numpy.PyArray_MultiIterNew5", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":835 + * return PyArray_MultiIterNew(5, a, b, c, d, e) + * + * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< + * if PyDataType_HASSUBARRAY(d): + * return d.subarray.shape + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__pyx_v_d) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + __Pyx_RefNannySetupContext("PyDataType_SHAPE", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":836 + * + * cdef inline tuple PyDataType_SHAPE(dtype d): + * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< + * return d.subarray.shape + * else: + */ + __pyx_t_1 = (PyDataType_HASSUBARRAY(__pyx_v_d) != 0); + if (__pyx_t_1) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":837 + * cdef inline tuple PyDataType_SHAPE(dtype d): + * if PyDataType_HASSUBARRAY(d): + * return d.subarray.shape # <<<<<<<<<<<<<< + * else: + * return () + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(((PyObject*)__pyx_v_d->subarray->shape)); + __pyx_r = ((PyObject*)__pyx_v_d->subarray->shape); + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":836 + * + * cdef inline tuple PyDataType_SHAPE(dtype d): + * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< + * return d.subarray.shape + * else: + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":839 + * return d.subarray.shape + * else: + * return () # <<<<<<<<<<<<<< + * + * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: + */ + /*else*/ { + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_empty_tuple); + __pyx_r = __pyx_empty_tuple; + goto __pyx_L0; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":835 + * return PyArray_MultiIterNew(5, a, b, c, d, e) + * + * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< + * if PyDataType_HASSUBARRAY(d): + * return d.subarray.shape + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":841 + * return () + * + * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< + * # Recursive utility function used in __getbuffer__ to get format + * # string. The new location in the format string is returned. + */ + +static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx_v_descr, char *__pyx_v_f, char *__pyx_v_end, int *__pyx_v_offset) { + PyArray_Descr *__pyx_v_child = 0; + int __pyx_v_endian_detector; + int __pyx_v_little_endian; + PyObject *__pyx_v_fields = 0; + PyObject *__pyx_v_childname = NULL; + PyObject *__pyx_v_new_offset = NULL; + PyObject *__pyx_v_t = NULL; + char *__pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + Py_ssize_t __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + int __pyx_t_5; + int __pyx_t_6; + int __pyx_t_7; + long __pyx_t_8; + char *__pyx_t_9; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_util_dtypestring", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":846 + * + * cdef dtype child + * cdef int endian_detector = 1 # <<<<<<<<<<<<<< + * cdef bint little_endian = ((&endian_detector)[0] != 0) + * cdef tuple fields + */ + __pyx_v_endian_detector = 1; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":847 + * cdef dtype child + * cdef int endian_detector = 1 + * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< + * cdef tuple fields + * + */ + __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":850 + * cdef tuple fields + * + * for childname in descr.names: # <<<<<<<<<<<<<< + * fields = descr.fields[childname] + * child, new_offset = fields + */ + if (unlikely(__pyx_v_descr->names == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); + __PYX_ERR(1, 850, __pyx_L1_error) + } + __pyx_t_1 = __pyx_v_descr->names; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0; + for (;;) { + if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_3); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(1, 850, __pyx_L1_error) + #else + __pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 850, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + #endif + __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); + __pyx_t_3 = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":851 + * + * for childname in descr.names: + * fields = descr.fields[childname] # <<<<<<<<<<<<<< + * child, new_offset = fields + * + */ + if (unlikely(__pyx_v_descr->fields == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(1, 851, __pyx_L1_error) + } + __pyx_t_3 = __Pyx_PyDict_GetItem(__pyx_v_descr->fields, __pyx_v_childname); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 851, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + if (!(likely(PyTuple_CheckExact(__pyx_t_3))||((__pyx_t_3) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "tuple", Py_TYPE(__pyx_t_3)->tp_name), 0))) __PYX_ERR(1, 851, __pyx_L1_error) + __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); + __pyx_t_3 = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":852 + * for childname in descr.names: + * fields = descr.fields[childname] + * child, new_offset = fields # <<<<<<<<<<<<<< + * + * if (end - f) - (new_offset - offset[0]) < 15: + */ + if (likely(__pyx_v_fields != Py_None)) { + PyObject* sequence = __pyx_v_fields; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(1, 852, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(__pyx_t_4); + #else + __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 852, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 852, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + #endif + } else { + __Pyx_RaiseNoneNotIterableError(); __PYX_ERR(1, 852, __pyx_L1_error) + } + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_dtype))))) __PYX_ERR(1, 852, __pyx_L1_error) + __Pyx_XDECREF_SET(__pyx_v_child, ((PyArray_Descr *)__pyx_t_3)); + __pyx_t_3 = 0; + __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); + __pyx_t_4 = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":854 + * child, new_offset = fields + * + * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") + * + */ + __pyx_t_4 = __Pyx_PyInt_From_int((__pyx_v_offset[0])); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 854, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyNumber_Subtract(__pyx_v_new_offset, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 854, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_5 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_5 == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 854, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0); + if (unlikely(__pyx_t_6)) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":855 + * + * if (end - f) - (new_offset - offset[0]) < 15: + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< + * + * if ((child.byteorder == c'>' and little_endian) or + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_tuple__13, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 855, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(1, 855, __pyx_L1_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":854 + * child, new_offset = fields + * + * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") + * + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":857 + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") + * + * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< + * (child.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + */ + __pyx_t_7 = ((__pyx_v_child->byteorder == '>') != 0); + if (!__pyx_t_7) { + goto __pyx_L8_next_or; + } else { + } + __pyx_t_7 = (__pyx_v_little_endian != 0); + if (!__pyx_t_7) { + } else { + __pyx_t_6 = __pyx_t_7; + goto __pyx_L7_bool_binop_done; + } + __pyx_L8_next_or:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":858 + * + * if ((child.byteorder == c'>' and little_endian) or + * (child.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< + * raise ValueError(u"Non-native byte order not supported") + * # One could encode it in the format string and have Cython + */ + __pyx_t_7 = ((__pyx_v_child->byteorder == '<') != 0); + if (__pyx_t_7) { + } else { + __pyx_t_6 = __pyx_t_7; + goto __pyx_L7_bool_binop_done; + } + __pyx_t_7 = ((!(__pyx_v_little_endian != 0)) != 0); + __pyx_t_6 = __pyx_t_7; + __pyx_L7_bool_binop_done:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":857 + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") + * + * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< + * (child.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + */ + if (unlikely(__pyx_t_6)) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":859 + * if ((child.byteorder == c'>' and little_endian) or + * (child.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< + * # One could encode it in the format string and have Cython + * # complain instead, BUT: < and > in format strings also imply + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__12, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 859, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(1, 859, __pyx_L1_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":857 + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") + * + * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< + * (child.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":869 + * + * # Output padding bytes + * while offset[0] < new_offset: # <<<<<<<<<<<<<< + * f[0] = 120 # "x"; pad byte + * f += 1 + */ + while (1) { + __pyx_t_3 = __Pyx_PyInt_From_int((__pyx_v_offset[0])); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 869, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_t_3, __pyx_v_new_offset, Py_LT); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 869, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 869, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (!__pyx_t_6) break; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":870 + * # Output padding bytes + * while offset[0] < new_offset: + * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< + * f += 1 + * offset[0] += 1 + */ + (__pyx_v_f[0]) = 0x78; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":871 + * while offset[0] < new_offset: + * f[0] = 120 # "x"; pad byte + * f += 1 # <<<<<<<<<<<<<< + * offset[0] += 1 + * + */ + __pyx_v_f = (__pyx_v_f + 1); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":872 + * f[0] = 120 # "x"; pad byte + * f += 1 + * offset[0] += 1 # <<<<<<<<<<<<<< + * + * offset[0] += child.itemsize + */ + __pyx_t_8 = 0; + (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1); + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":874 + * offset[0] += 1 + * + * offset[0] += child.itemsize # <<<<<<<<<<<<<< + * + * if not PyDataType_HASFIELDS(child): + */ + __pyx_t_8 = 0; + (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":876 + * offset[0] += child.itemsize + * + * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< + * t = child.type_num + * if end - f < 5: + */ + __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); + if (__pyx_t_6) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":877 + * + * if not PyDataType_HASFIELDS(child): + * t = child.type_num # <<<<<<<<<<<<<< + * if end - f < 5: + * raise RuntimeError(u"Format string allocated too short.") + */ + __pyx_t_4 = __Pyx_PyInt_From_int(__pyx_v_child->type_num); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 877, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4); + __pyx_t_4 = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":878 + * if not PyDataType_HASFIELDS(child): + * t = child.type_num + * if end - f < 5: # <<<<<<<<<<<<<< + * raise RuntimeError(u"Format string allocated too short.") + * + */ + __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); + if (unlikely(__pyx_t_6)) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":879 + * t = child.type_num + * if end - f < 5: + * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< + * + * # Until ticket #99 is fixed, use integers to avoid warnings + */ + __pyx_t_4 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_tuple__14, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 879, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_Raise(__pyx_t_4, 0, 0, 0); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __PYX_ERR(1, 879, __pyx_L1_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":878 + * if not PyDataType_HASFIELDS(child): + * t = child.type_num + * if end - f < 5: # <<<<<<<<<<<<<< + * raise RuntimeError(u"Format string allocated too short.") + * + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":882 + * + * # Until ticket #99 is fixed, use integers to avoid warnings + * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< + * elif t == NPY_UBYTE: f[0] = 66 #"B" + * elif t == NPY_SHORT: f[0] = 104 #"h" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_BYTE); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 882, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 882, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 882, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 98; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":883 + * # Until ticket #99 is fixed, use integers to avoid warnings + * if t == NPY_BYTE: f[0] = 98 #"b" + * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< + * elif t == NPY_SHORT: f[0] = 104 #"h" + * elif t == NPY_USHORT: f[0] = 72 #"H" + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_UBYTE); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 883, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 883, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 883, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 66; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":884 + * if t == NPY_BYTE: f[0] = 98 #"b" + * elif t == NPY_UBYTE: f[0] = 66 #"B" + * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< + * elif t == NPY_USHORT: f[0] = 72 #"H" + * elif t == NPY_INT: f[0] = 105 #"i" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_SHORT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 884, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 884, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 884, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x68; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":885 + * elif t == NPY_UBYTE: f[0] = 66 #"B" + * elif t == NPY_SHORT: f[0] = 104 #"h" + * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< + * elif t == NPY_INT: f[0] = 105 #"i" + * elif t == NPY_UINT: f[0] = 73 #"I" + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_USHORT); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 885, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 885, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 885, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 72; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":886 + * elif t == NPY_SHORT: f[0] = 104 #"h" + * elif t == NPY_USHORT: f[0] = 72 #"H" + * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< + * elif t == NPY_UINT: f[0] = 73 #"I" + * elif t == NPY_LONG: f[0] = 108 #"l" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_INT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 886, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 886, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 886, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x69; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":887 + * elif t == NPY_USHORT: f[0] = 72 #"H" + * elif t == NPY_INT: f[0] = 105 #"i" + * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< + * elif t == NPY_LONG: f[0] = 108 #"l" + * elif t == NPY_ULONG: f[0] = 76 #"L" + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_UINT); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 887, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 887, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 887, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 73; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":888 + * elif t == NPY_INT: f[0] = 105 #"i" + * elif t == NPY_UINT: f[0] = 73 #"I" + * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< + * elif t == NPY_ULONG: f[0] = 76 #"L" + * elif t == NPY_LONGLONG: f[0] = 113 #"q" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_LONG); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 888, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 888, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 888, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x6C; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":889 + * elif t == NPY_UINT: f[0] = 73 #"I" + * elif t == NPY_LONG: f[0] = 108 #"l" + * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< + * elif t == NPY_LONGLONG: f[0] = 113 #"q" + * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_ULONG); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 889, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 889, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 889, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 76; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":890 + * elif t == NPY_LONG: f[0] = 108 #"l" + * elif t == NPY_ULONG: f[0] = 76 #"L" + * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< + * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" + * elif t == NPY_FLOAT: f[0] = 102 #"f" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_LONGLONG); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 890, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 890, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 890, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x71; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":891 + * elif t == NPY_ULONG: f[0] = 76 #"L" + * elif t == NPY_LONGLONG: f[0] = 113 #"q" + * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< + * elif t == NPY_FLOAT: f[0] = 102 #"f" + * elif t == NPY_DOUBLE: f[0] = 100 #"d" + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_ULONGLONG); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 891, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 891, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 891, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 81; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":892 + * elif t == NPY_LONGLONG: f[0] = 113 #"q" + * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" + * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< + * elif t == NPY_DOUBLE: f[0] = 100 #"d" + * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_FLOAT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 892, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 892, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 892, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x66; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":893 + * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" + * elif t == NPY_FLOAT: f[0] = 102 #"f" + * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< + * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" + * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_DOUBLE); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 893, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 893, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 893, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x64; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":894 + * elif t == NPY_FLOAT: f[0] = 102 #"f" + * elif t == NPY_DOUBLE: f[0] = 100 #"d" + * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< + * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf + * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_LONGDOUBLE); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 894, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 894, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 894, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 0x67; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":895 + * elif t == NPY_DOUBLE: f[0] = 100 #"d" + * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" + * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< + * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd + * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_CFLOAT); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 895, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 895, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 895, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 90; + (__pyx_v_f[1]) = 0x66; + __pyx_v_f = (__pyx_v_f + 1); + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":896 + * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" + * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf + * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< + * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg + * elif t == NPY_OBJECT: f[0] = 79 #"O" + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_CDOUBLE); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 896, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 896, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 896, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 90; + (__pyx_v_f[1]) = 0x64; + __pyx_v_f = (__pyx_v_f + 1); + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":897 + * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf + * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd + * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< + * elif t == NPY_OBJECT: f[0] = 79 #"O" + * else: + */ + __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_CLONGDOUBLE); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 897, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 897, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 897, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (__pyx_t_6) { + (__pyx_v_f[0]) = 90; + (__pyx_v_f[1]) = 0x67; + __pyx_v_f = (__pyx_v_f + 1); + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":898 + * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd + * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg + * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< + * else: + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) + */ + __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_OBJECT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 898, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 898, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 898, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (likely(__pyx_t_6)) { + (__pyx_v_f[0]) = 79; + goto __pyx_L15; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":900 + * elif t == NPY_OBJECT: f[0] = 79 #"O" + * else: + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< + * f += 1 + * else: + */ + /*else*/ { + __pyx_t_3 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_v_t); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 900, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 900, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_Raise(__pyx_t_4, 0, 0, 0); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __PYX_ERR(1, 900, __pyx_L1_error) + } + __pyx_L15:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":901 + * else: + * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) + * f += 1 # <<<<<<<<<<<<<< + * else: + * # Cython ignores struct boundary information ("T{...}"), + */ + __pyx_v_f = (__pyx_v_f + 1); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":876 + * offset[0] += child.itemsize + * + * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< + * t = child.type_num + * if end - f < 5: + */ + goto __pyx_L13; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":905 + * # Cython ignores struct boundary information ("T{...}"), + * # so don't output it + * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< + * return f + * + */ + /*else*/ { + __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_child, __pyx_v_f, __pyx_v_end, __pyx_v_offset); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 905, __pyx_L1_error) + __pyx_v_f = __pyx_t_9; + } + __pyx_L13:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":850 + * cdef tuple fields + * + * for childname in descr.names: # <<<<<<<<<<<<<< + * fields = descr.fields[childname] + * child, new_offset = fields + */ + } + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":906 + * # so don't output it + * f = _util_dtypestring(child, f, end, offset) + * return f # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = __pyx_v_f; + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":841 + * return () + * + * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< + * # Recursive utility function used in __getbuffer__ to get format + * # string. The new location in the format string is returned. + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_AddTraceback("numpy._util_dtypestring", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_child); + __Pyx_XDECREF(__pyx_v_fields); + __Pyx_XDECREF(__pyx_v_childname); + __Pyx_XDECREF(__pyx_v_new_offset); + __Pyx_XDECREF(__pyx_v_t); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1021 + * int _import_umath() except -1 + * + * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< + * Py_INCREF(base) # important to do this before stealing the reference below! + * PyArray_SetBaseObject(arr, base) + */ + +static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_arr, PyObject *__pyx_v_base) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("set_array_base", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1022 + * + * cdef inline void set_array_base(ndarray arr, object base): + * Py_INCREF(base) # important to do this before stealing the reference below! # <<<<<<<<<<<<<< + * PyArray_SetBaseObject(arr, base) + * + */ + Py_INCREF(__pyx_v_base); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1023 + * cdef inline void set_array_base(ndarray arr, object base): + * Py_INCREF(base) # important to do this before stealing the reference below! + * PyArray_SetBaseObject(arr, base) # <<<<<<<<<<<<<< + * + * cdef inline object get_array_base(ndarray arr): + */ + (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base)); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1021 + * int _import_umath() except -1 + * + * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< + * Py_INCREF(base) # important to do this before stealing the reference below! + * PyArray_SetBaseObject(arr, base) + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1025 + * PyArray_SetBaseObject(arr, base) + * + * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< + * base = PyArray_BASE(arr) + * if base is NULL: + */ + +static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__pyx_v_arr) { + PyObject *__pyx_v_base; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + __Pyx_RefNannySetupContext("get_array_base", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1026 + * + * cdef inline object get_array_base(ndarray arr): + * base = PyArray_BASE(arr) # <<<<<<<<<<<<<< + * if base is NULL: + * return None + */ + __pyx_v_base = PyArray_BASE(__pyx_v_arr); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + * cdef inline object get_array_base(ndarray arr): + * base = PyArray_BASE(arr) + * if base is NULL: # <<<<<<<<<<<<<< + * return None + * return base + */ + __pyx_t_1 = ((__pyx_v_base == NULL) != 0); + if (__pyx_t_1) { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + * base = PyArray_BASE(arr) + * if base is NULL: + * return None # <<<<<<<<<<<<<< + * return base + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + * cdef inline object get_array_base(ndarray arr): + * base = PyArray_BASE(arr) + * if base is NULL: # <<<<<<<<<<<<<< + * return None + * return base + */ + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1029 + * if base is NULL: + * return None + * return base # <<<<<<<<<<<<<< + * + * # Versions of the import_* functions which are more suitable for + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(((PyObject *)__pyx_v_base)); + __pyx_r = ((PyObject *)__pyx_v_base); + goto __pyx_L0; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1025 + * PyArray_SetBaseObject(arr, base) + * + * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< + * base = PyArray_BASE(arr) + * if base is NULL: + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1033 + * # Versions of the import_* functions which are more suitable for + * # Cython code. + * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< + * try: + * _import_array() + */ + +static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { + int __pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("import_array", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + * # Cython code. + * cdef inline int import_array() except -1: + * try: # <<<<<<<<<<<<<< + * _import_array() + * except Exception: + */ + { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3); + __Pyx_XGOTREF(__pyx_t_1); + __Pyx_XGOTREF(__pyx_t_2); + __Pyx_XGOTREF(__pyx_t_3); + /*try:*/ { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + * cdef inline int import_array() except -1: + * try: + * _import_array() # <<<<<<<<<<<<<< + * except Exception: + * raise ImportError("numpy.core.multiarray failed to import") + */ + __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1035, __pyx_L3_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + * # Cython code. + * cdef inline int import_array() except -1: + * try: # <<<<<<<<<<<<<< + * _import_array() + * except Exception: + */ + } + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + goto __pyx_L8_try_end; + __pyx_L3_error:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1036 + * try: + * _import_array() + * except Exception: # <<<<<<<<<<<<<< + * raise ImportError("numpy.core.multiarray failed to import") + * + */ + __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0]))); + if (__pyx_t_4) { + __Pyx_AddTraceback("numpy.import_array", __pyx_clineno, __pyx_lineno, __pyx_filename); + if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 1036, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GOTREF(__pyx_t_7); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + * _import_array() + * except Exception: + * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< + * + * cdef inline int import_umath() except -1: + */ + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__15, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1037, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_Raise(__pyx_t_8, 0, 0, 0); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __PYX_ERR(1, 1037, __pyx_L5_except_error) + } + goto __pyx_L5_except_error; + __pyx_L5_except_error:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + * # Cython code. + * cdef inline int import_array() except -1: + * try: # <<<<<<<<<<<<<< + * _import_array() + * except Exception: + */ + __Pyx_XGIVEREF(__pyx_t_1); + __Pyx_XGIVEREF(__pyx_t_2); + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3); + goto __pyx_L1_error; + __pyx_L8_try_end:; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1033 + * # Versions of the import_* functions which are more suitable for + * # Cython code. + * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< + * try: + * _import_array() + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("numpy.import_array", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1039 + * raise ImportError("numpy.core.multiarray failed to import") + * + * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< + * try: + * _import_umath() + */ + +static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { + int __pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("import_umath", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + * + * cdef inline int import_umath() except -1: + * try: # <<<<<<<<<<<<<< + * _import_umath() + * except Exception: + */ + { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3); + __Pyx_XGOTREF(__pyx_t_1); + __Pyx_XGOTREF(__pyx_t_2); + __Pyx_XGOTREF(__pyx_t_3); + /*try:*/ { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + * cdef inline int import_umath() except -1: + * try: + * _import_umath() # <<<<<<<<<<<<<< + * except Exception: + * raise ImportError("numpy.core.umath failed to import") + */ + __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1041, __pyx_L3_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + * + * cdef inline int import_umath() except -1: + * try: # <<<<<<<<<<<<<< + * _import_umath() + * except Exception: + */ + } + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + goto __pyx_L8_try_end; + __pyx_L3_error:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1042 + * try: + * _import_umath() + * except Exception: # <<<<<<<<<<<<<< + * raise ImportError("numpy.core.umath failed to import") + * + */ + __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0]))); + if (__pyx_t_4) { + __Pyx_AddTraceback("numpy.import_umath", __pyx_clineno, __pyx_lineno, __pyx_filename); + if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 1042, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GOTREF(__pyx_t_7); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1043 + * _import_umath() + * except Exception: + * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< + * + * cdef inline int import_ufunc() except -1: + */ + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__16, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1043, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_Raise(__pyx_t_8, 0, 0, 0); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __PYX_ERR(1, 1043, __pyx_L5_except_error) + } + goto __pyx_L5_except_error; + __pyx_L5_except_error:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + * + * cdef inline int import_umath() except -1: + * try: # <<<<<<<<<<<<<< + * _import_umath() + * except Exception: + */ + __Pyx_XGIVEREF(__pyx_t_1); + __Pyx_XGIVEREF(__pyx_t_2); + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3); + goto __pyx_L1_error; + __pyx_L8_try_end:; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1039 + * raise ImportError("numpy.core.multiarray failed to import") + * + * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< + * try: + * _import_umath() + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("numpy.import_umath", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1045 + * raise ImportError("numpy.core.umath failed to import") + * + * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< + * try: + * _import_umath() + */ + +static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { + int __pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("import_ufunc", 0); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + * + * cdef inline int import_ufunc() except -1: + * try: # <<<<<<<<<<<<<< + * _import_umath() + * except Exception: + */ + { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3); + __Pyx_XGOTREF(__pyx_t_1); + __Pyx_XGOTREF(__pyx_t_2); + __Pyx_XGOTREF(__pyx_t_3); + /*try:*/ { + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1047 + * cdef inline int import_ufunc() except -1: + * try: + * _import_umath() # <<<<<<<<<<<<<< + * except Exception: + * raise ImportError("numpy.core.umath failed to import") + */ + __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1047, __pyx_L3_error) + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + * + * cdef inline int import_ufunc() except -1: + * try: # <<<<<<<<<<<<<< + * _import_umath() + * except Exception: + */ + } + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + goto __pyx_L8_try_end; + __pyx_L3_error:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1048 + * try: + * _import_umath() + * except Exception: # <<<<<<<<<<<<<< + * raise ImportError("numpy.core.umath failed to import") + */ + __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0]))); + if (__pyx_t_4) { + __Pyx_AddTraceback("numpy.import_ufunc", __pyx_clineno, __pyx_lineno, __pyx_filename); + if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 1048, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GOTREF(__pyx_t_6); + __Pyx_GOTREF(__pyx_t_7); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1049 + * _import_umath() + * except Exception: + * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< + */ + __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__16, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1049, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_Raise(__pyx_t_8, 0, 0, 0); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __PYX_ERR(1, 1049, __pyx_L5_except_error) + } + goto __pyx_L5_except_error; + __pyx_L5_except_error:; + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + * + * cdef inline int import_ufunc() except -1: + * try: # <<<<<<<<<<<<<< + * _import_umath() + * except Exception: + */ + __Pyx_XGIVEREF(__pyx_t_1); + __Pyx_XGIVEREF(__pyx_t_2); + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3); + goto __pyx_L1_error; + __pyx_L8_try_end:; + } + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1045 + * raise ImportError("numpy.core.umath failed to import") + * + * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< + * try: + * _import_umath() + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("numpy.import_ufunc", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":122 + * cdef bint dtype_is_object + * + * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< + * mode="c", bint allocate_buffer=True): + * + */ + +/* Python wrapper */ +static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_shape = 0; + Py_ssize_t __pyx_v_itemsize; + PyObject *__pyx_v_format = 0; + PyObject *__pyx_v_mode = 0; + int __pyx_v_allocate_buffer; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_shape,&__pyx_n_s_itemsize,&__pyx_n_s_format,&__pyx_n_s_mode,&__pyx_n_s_allocate_buffer,0}; + PyObject* values[5] = {0,0,0,0,0}; + values[3] = ((PyObject *)__pyx_n_s_c); + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_shape)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_itemsize)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, 1); __PYX_ERR(2, 122, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_format)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, 2); __PYX_ERR(2, 122, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 3: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_mode); + if (value) { values[3] = value; kw_args--; } + } + CYTHON_FALLTHROUGH; + case 4: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_allocate_buffer); + if (value) { values[4] = value; kw_args--; } + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) __PYX_ERR(2, 122, __pyx_L3_error) + } + } else { + switch (PyTuple_GET_SIZE(__pyx_args)) { + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; + case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + CYTHON_FALLTHROUGH; + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + break; + default: goto __pyx_L5_argtuple_error; + } + } + __pyx_v_shape = ((PyObject*)values[0]); + __pyx_v_itemsize = __Pyx_PyIndex_AsSsize_t(values[1]); if (unlikely((__pyx_v_itemsize == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 122, __pyx_L3_error) + __pyx_v_format = values[2]; + __pyx_v_mode = values[3]; + if (values[4]) { + __pyx_v_allocate_buffer = __Pyx_PyObject_IsTrue(values[4]); if (unlikely((__pyx_v_allocate_buffer == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 123, __pyx_L3_error) + } else { + + /* "View.MemoryView":123 + * + * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, + * mode="c", bint allocate_buffer=True): # <<<<<<<<<<<<<< + * + * cdef int idx + */ + __pyx_v_allocate_buffer = ((int)1); + } + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(2, 122, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("View.MemoryView.array.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return -1; + __pyx_L4_argument_unpacking_done:; + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_shape), (&PyTuple_Type), 1, "shape", 1))) __PYX_ERR(2, 122, __pyx_L1_error) + if (unlikely(((PyObject *)__pyx_v_format) == Py_None)) { + PyErr_Format(PyExc_TypeError, "Argument '%.200s' must not be None", "format"); __PYX_ERR(2, 122, __pyx_L1_error) + } + __pyx_r = __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(((struct __pyx_array_obj *)__pyx_v_self), __pyx_v_shape, __pyx_v_itemsize, __pyx_v_format, __pyx_v_mode, __pyx_v_allocate_buffer); + + /* "View.MemoryView":122 + * cdef bint dtype_is_object + * + * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< + * mode="c", bint allocate_buffer=True): + * + */ + + /* function exit code */ + goto __pyx_L0; + __pyx_L1_error:; + __pyx_r = -1; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer) { + int __pyx_v_idx; + Py_ssize_t __pyx_v_i; + Py_ssize_t __pyx_v_dim; + PyObject **__pyx_v_p; + char __pyx_v_order; + int __pyx_r; + __Pyx_RefNannyDeclarations + Py_ssize_t __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + char *__pyx_t_7; + int __pyx_t_8; + Py_ssize_t __pyx_t_9; + PyObject *__pyx_t_10 = NULL; + Py_ssize_t __pyx_t_11; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__cinit__", 0); + __Pyx_INCREF(__pyx_v_format); + + /* "View.MemoryView":129 + * cdef PyObject **p + * + * self.ndim = len(shape) # <<<<<<<<<<<<<< + * self.itemsize = itemsize + * + */ + if (unlikely(__pyx_v_shape == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(2, 129, __pyx_L1_error) + } + __pyx_t_1 = PyTuple_GET_SIZE(__pyx_v_shape); if (unlikely(__pyx_t_1 == ((Py_ssize_t)-1))) __PYX_ERR(2, 129, __pyx_L1_error) + __pyx_v_self->ndim = ((int)__pyx_t_1); + + /* "View.MemoryView":130 + * + * self.ndim = len(shape) + * self.itemsize = itemsize # <<<<<<<<<<<<<< + * + * if not self.ndim: + */ + __pyx_v_self->itemsize = __pyx_v_itemsize; + + /* "View.MemoryView":132 + * self.itemsize = itemsize + * + * if not self.ndim: # <<<<<<<<<<<<<< + * raise ValueError("Empty shape tuple for cython.array") + * + */ + __pyx_t_2 = ((!(__pyx_v_self->ndim != 0)) != 0); + if (unlikely(__pyx_t_2)) { + + /* "View.MemoryView":133 + * + * if not self.ndim: + * raise ValueError("Empty shape tuple for cython.array") # <<<<<<<<<<<<<< + * + * if itemsize <= 0: + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__17, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 133, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 133, __pyx_L1_error) + + /* "View.MemoryView":132 + * self.itemsize = itemsize + * + * if not self.ndim: # <<<<<<<<<<<<<< + * raise ValueError("Empty shape tuple for cython.array") + * + */ + } + + /* "View.MemoryView":135 + * raise ValueError("Empty shape tuple for cython.array") + * + * if itemsize <= 0: # <<<<<<<<<<<<<< + * raise ValueError("itemsize <= 0 for cython.array") + * + */ + __pyx_t_2 = ((__pyx_v_itemsize <= 0) != 0); + if (unlikely(__pyx_t_2)) { + + /* "View.MemoryView":136 + * + * if itemsize <= 0: + * raise ValueError("itemsize <= 0 for cython.array") # <<<<<<<<<<<<<< + * + * if not isinstance(format, bytes): + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__18, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 136, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 136, __pyx_L1_error) + + /* "View.MemoryView":135 + * raise ValueError("Empty shape tuple for cython.array") + * + * if itemsize <= 0: # <<<<<<<<<<<<<< + * raise ValueError("itemsize <= 0 for cython.array") + * + */ + } + + /* "View.MemoryView":138 + * raise ValueError("itemsize <= 0 for cython.array") + * + * if not isinstance(format, bytes): # <<<<<<<<<<<<<< + * format = format.encode('ASCII') + * self._format = format # keep a reference to the byte string + */ + __pyx_t_2 = PyBytes_Check(__pyx_v_format); + __pyx_t_4 = ((!(__pyx_t_2 != 0)) != 0); + if (__pyx_t_4) { + + /* "View.MemoryView":139 + * + * if not isinstance(format, bytes): + * format = format.encode('ASCII') # <<<<<<<<<<<<<< + * self._format = format # keep a reference to the byte string + * self.format = self._format + */ + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_format, __pyx_n_s_encode); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 139, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_6 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_6)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_6); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + } + } + __pyx_t_3 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_6, __pyx_n_s_ASCII) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_n_s_ASCII); + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 139, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF_SET(__pyx_v_format, __pyx_t_3); + __pyx_t_3 = 0; + + /* "View.MemoryView":138 + * raise ValueError("itemsize <= 0 for cython.array") + * + * if not isinstance(format, bytes): # <<<<<<<<<<<<<< + * format = format.encode('ASCII') + * self._format = format # keep a reference to the byte string + */ + } + + /* "View.MemoryView":140 + * if not isinstance(format, bytes): + * format = format.encode('ASCII') + * self._format = format # keep a reference to the byte string # <<<<<<<<<<<<<< + * self.format = self._format + * + */ + if (!(likely(PyBytes_CheckExact(__pyx_v_format))||((__pyx_v_format) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "bytes", Py_TYPE(__pyx_v_format)->tp_name), 0))) __PYX_ERR(2, 140, __pyx_L1_error) + __pyx_t_3 = __pyx_v_format; + __Pyx_INCREF(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_3); + __Pyx_GOTREF(__pyx_v_self->_format); + __Pyx_DECREF(__pyx_v_self->_format); + __pyx_v_self->_format = ((PyObject*)__pyx_t_3); + __pyx_t_3 = 0; + + /* "View.MemoryView":141 + * format = format.encode('ASCII') + * self._format = format # keep a reference to the byte string + * self.format = self._format # <<<<<<<<<<<<<< + * + * + */ + if (unlikely(__pyx_v_self->_format == Py_None)) { + PyErr_SetString(PyExc_TypeError, "expected bytes, NoneType found"); + __PYX_ERR(2, 141, __pyx_L1_error) + } + __pyx_t_7 = __Pyx_PyBytes_AsWritableString(__pyx_v_self->_format); if (unlikely((!__pyx_t_7) && PyErr_Occurred())) __PYX_ERR(2, 141, __pyx_L1_error) + __pyx_v_self->format = __pyx_t_7; + + /* "View.MemoryView":144 + * + * + * self._shape = PyObject_Malloc(sizeof(Py_ssize_t)*self.ndim*2) # <<<<<<<<<<<<<< + * self._strides = self._shape + self.ndim + * + */ + __pyx_v_self->_shape = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * __pyx_v_self->ndim) * 2))); + + /* "View.MemoryView":145 + * + * self._shape = PyObject_Malloc(sizeof(Py_ssize_t)*self.ndim*2) + * self._strides = self._shape + self.ndim # <<<<<<<<<<<<<< + * + * if not self._shape: + */ + __pyx_v_self->_strides = (__pyx_v_self->_shape + __pyx_v_self->ndim); + + /* "View.MemoryView":147 + * self._strides = self._shape + self.ndim + * + * if not self._shape: # <<<<<<<<<<<<<< + * raise MemoryError("unable to allocate shape and strides.") + * + */ + __pyx_t_4 = ((!(__pyx_v_self->_shape != 0)) != 0); + if (unlikely(__pyx_t_4)) { + + /* "View.MemoryView":148 + * + * if not self._shape: + * raise MemoryError("unable to allocate shape and strides.") # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_MemoryError, __pyx_tuple__19, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 148, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 148, __pyx_L1_error) + + /* "View.MemoryView":147 + * self._strides = self._shape + self.ndim + * + * if not self._shape: # <<<<<<<<<<<<<< + * raise MemoryError("unable to allocate shape and strides.") + * + */ + } + + /* "View.MemoryView":151 + * + * + * for idx, dim in enumerate(shape): # <<<<<<<<<<<<<< + * if dim <= 0: + * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) + */ + __pyx_t_8 = 0; + __pyx_t_3 = __pyx_v_shape; __Pyx_INCREF(__pyx_t_3); __pyx_t_1 = 0; + for (;;) { + if (__pyx_t_1 >= PyTuple_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_1); __Pyx_INCREF(__pyx_t_5); __pyx_t_1++; if (unlikely(0 < 0)) __PYX_ERR(2, 151, __pyx_L1_error) + #else + __pyx_t_5 = PySequence_ITEM(__pyx_t_3, __pyx_t_1); __pyx_t_1++; if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 151, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + #endif + __pyx_t_9 = __Pyx_PyIndex_AsSsize_t(__pyx_t_5); if (unlikely((__pyx_t_9 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 151, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_v_dim = __pyx_t_9; + __pyx_v_idx = __pyx_t_8; + __pyx_t_8 = (__pyx_t_8 + 1); + + /* "View.MemoryView":152 + * + * for idx, dim in enumerate(shape): + * if dim <= 0: # <<<<<<<<<<<<<< + * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) + * self._shape[idx] = dim + */ + __pyx_t_4 = ((__pyx_v_dim <= 0) != 0); + if (unlikely(__pyx_t_4)) { + + /* "View.MemoryView":153 + * for idx, dim in enumerate(shape): + * if dim <= 0: + * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) # <<<<<<<<<<<<<< + * self._shape[idx] = dim + * + */ + __pyx_t_5 = __Pyx_PyInt_From_int(__pyx_v_idx); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 153, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_6 = PyInt_FromSsize_t(__pyx_v_dim); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 153, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_10 = PyTuple_New(2); if (unlikely(!__pyx_t_10)) __PYX_ERR(2, 153, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_5); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_10, 1, __pyx_t_6); + __pyx_t_5 = 0; + __pyx_t_6 = 0; + __pyx_t_6 = __Pyx_PyString_Format(__pyx_kp_s_Invalid_shape_in_axis_d_d, __pyx_t_10); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 153, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_t_10 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_6); if (unlikely(!__pyx_t_10)) __PYX_ERR(2, 153, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_Raise(__pyx_t_10, 0, 0, 0); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __PYX_ERR(2, 153, __pyx_L1_error) + + /* "View.MemoryView":152 + * + * for idx, dim in enumerate(shape): + * if dim <= 0: # <<<<<<<<<<<<<< + * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) + * self._shape[idx] = dim + */ + } + + /* "View.MemoryView":154 + * if dim <= 0: + * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) + * self._shape[idx] = dim # <<<<<<<<<<<<<< + * + * cdef char order + */ + (__pyx_v_self->_shape[__pyx_v_idx]) = __pyx_v_dim; + + /* "View.MemoryView":151 + * + * + * for idx, dim in enumerate(shape): # <<<<<<<<<<<<<< + * if dim <= 0: + * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) + */ + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "View.MemoryView":157 + * + * cdef char order + * if mode == 'fortran': # <<<<<<<<<<<<<< + * order = b'F' + * self.mode = u'fortran' + */ + __pyx_t_4 = (__Pyx_PyString_Equals(__pyx_v_mode, __pyx_n_s_fortran, Py_EQ)); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(2, 157, __pyx_L1_error) + if (__pyx_t_4) { + + /* "View.MemoryView":158 + * cdef char order + * if mode == 'fortran': + * order = b'F' # <<<<<<<<<<<<<< + * self.mode = u'fortran' + * elif mode == 'c': + */ + __pyx_v_order = 'F'; + + /* "View.MemoryView":159 + * if mode == 'fortran': + * order = b'F' + * self.mode = u'fortran' # <<<<<<<<<<<<<< + * elif mode == 'c': + * order = b'C' + */ + __Pyx_INCREF(__pyx_n_u_fortran); + __Pyx_GIVEREF(__pyx_n_u_fortran); + __Pyx_GOTREF(__pyx_v_self->mode); + __Pyx_DECREF(__pyx_v_self->mode); + __pyx_v_self->mode = __pyx_n_u_fortran; + + /* "View.MemoryView":157 + * + * cdef char order + * if mode == 'fortran': # <<<<<<<<<<<<<< + * order = b'F' + * self.mode = u'fortran' + */ + goto __pyx_L10; + } + + /* "View.MemoryView":160 + * order = b'F' + * self.mode = u'fortran' + * elif mode == 'c': # <<<<<<<<<<<<<< + * order = b'C' + * self.mode = u'c' + */ + __pyx_t_4 = (__Pyx_PyString_Equals(__pyx_v_mode, __pyx_n_s_c, Py_EQ)); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(2, 160, __pyx_L1_error) + if (likely(__pyx_t_4)) { + + /* "View.MemoryView":161 + * self.mode = u'fortran' + * elif mode == 'c': + * order = b'C' # <<<<<<<<<<<<<< + * self.mode = u'c' + * else: + */ + __pyx_v_order = 'C'; + + /* "View.MemoryView":162 + * elif mode == 'c': + * order = b'C' + * self.mode = u'c' # <<<<<<<<<<<<<< + * else: + * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) + */ + __Pyx_INCREF(__pyx_n_u_c); + __Pyx_GIVEREF(__pyx_n_u_c); + __Pyx_GOTREF(__pyx_v_self->mode); + __Pyx_DECREF(__pyx_v_self->mode); + __pyx_v_self->mode = __pyx_n_u_c; + + /* "View.MemoryView":160 + * order = b'F' + * self.mode = u'fortran' + * elif mode == 'c': # <<<<<<<<<<<<<< + * order = b'C' + * self.mode = u'c' + */ + goto __pyx_L10; + } + + /* "View.MemoryView":164 + * self.mode = u'c' + * else: + * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) # <<<<<<<<<<<<<< + * + * self.len = fill_contig_strides_array(self._shape, self._strides, + */ + /*else*/ { + __pyx_t_3 = __Pyx_PyString_FormatSafe(__pyx_kp_s_Invalid_mode_expected_c_or_fortr, __pyx_v_mode); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 164, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_10 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_10)) __PYX_ERR(2, 164, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_Raise(__pyx_t_10, 0, 0, 0); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __PYX_ERR(2, 164, __pyx_L1_error) + } + __pyx_L10:; + + /* "View.MemoryView":166 + * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) + * + * self.len = fill_contig_strides_array(self._shape, self._strides, # <<<<<<<<<<<<<< + * itemsize, self.ndim, order) + * + */ + __pyx_v_self->len = __pyx_fill_contig_strides_array(__pyx_v_self->_shape, __pyx_v_self->_strides, __pyx_v_itemsize, __pyx_v_self->ndim, __pyx_v_order); + + /* "View.MemoryView":169 + * itemsize, self.ndim, order) + * + * self.free_data = allocate_buffer # <<<<<<<<<<<<<< + * self.dtype_is_object = format == b'O' + * if allocate_buffer: + */ + __pyx_v_self->free_data = __pyx_v_allocate_buffer; + + /* "View.MemoryView":170 + * + * self.free_data = allocate_buffer + * self.dtype_is_object = format == b'O' # <<<<<<<<<<<<<< + * if allocate_buffer: + * + */ + __pyx_t_10 = PyObject_RichCompare(__pyx_v_format, __pyx_n_b_O, Py_EQ); __Pyx_XGOTREF(__pyx_t_10); if (unlikely(!__pyx_t_10)) __PYX_ERR(2, 170, __pyx_L1_error) + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_10); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 170, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __pyx_v_self->dtype_is_object = __pyx_t_4; + + /* "View.MemoryView":171 + * self.free_data = allocate_buffer + * self.dtype_is_object = format == b'O' + * if allocate_buffer: # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_4 = (__pyx_v_allocate_buffer != 0); + if (__pyx_t_4) { + + /* "View.MemoryView":174 + * + * + * self.data = malloc(self.len) # <<<<<<<<<<<<<< + * if not self.data: + * raise MemoryError("unable to allocate array data.") + */ + __pyx_v_self->data = ((char *)malloc(__pyx_v_self->len)); + + /* "View.MemoryView":175 + * + * self.data = malloc(self.len) + * if not self.data: # <<<<<<<<<<<<<< + * raise MemoryError("unable to allocate array data.") + * + */ + __pyx_t_4 = ((!(__pyx_v_self->data != 0)) != 0); + if (unlikely(__pyx_t_4)) { + + /* "View.MemoryView":176 + * self.data = malloc(self.len) + * if not self.data: + * raise MemoryError("unable to allocate array data.") # <<<<<<<<<<<<<< + * + * if self.dtype_is_object: + */ + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_builtin_MemoryError, __pyx_tuple__20, NULL); if (unlikely(!__pyx_t_10)) __PYX_ERR(2, 176, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_10); + __Pyx_Raise(__pyx_t_10, 0, 0, 0); + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + __PYX_ERR(2, 176, __pyx_L1_error) + + /* "View.MemoryView":175 + * + * self.data = malloc(self.len) + * if not self.data: # <<<<<<<<<<<<<< + * raise MemoryError("unable to allocate array data.") + * + */ + } + + /* "View.MemoryView":178 + * raise MemoryError("unable to allocate array data.") + * + * if self.dtype_is_object: # <<<<<<<<<<<<<< + * p = self.data + * for i in range(self.len / itemsize): + */ + __pyx_t_4 = (__pyx_v_self->dtype_is_object != 0); + if (__pyx_t_4) { + + /* "View.MemoryView":179 + * + * if self.dtype_is_object: + * p = self.data # <<<<<<<<<<<<<< + * for i in range(self.len / itemsize): + * p[i] = Py_None + */ + __pyx_v_p = ((PyObject **)__pyx_v_self->data); + + /* "View.MemoryView":180 + * if self.dtype_is_object: + * p = self.data + * for i in range(self.len / itemsize): # <<<<<<<<<<<<<< + * p[i] = Py_None + * Py_INCREF(Py_None) + */ + if (unlikely(__pyx_v_itemsize == 0)) { + PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero"); + __PYX_ERR(2, 180, __pyx_L1_error) + } + else if (sizeof(Py_ssize_t) == sizeof(long) && (!(((Py_ssize_t)-1) > 0)) && unlikely(__pyx_v_itemsize == (Py_ssize_t)-1) && unlikely(UNARY_NEG_WOULD_OVERFLOW(__pyx_v_self->len))) { + PyErr_SetString(PyExc_OverflowError, "value too large to perform division"); + __PYX_ERR(2, 180, __pyx_L1_error) + } + __pyx_t_1 = __Pyx_div_Py_ssize_t(__pyx_v_self->len, __pyx_v_itemsize); + __pyx_t_9 = __pyx_t_1; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_9; __pyx_t_11+=1) { + __pyx_v_i = __pyx_t_11; + + /* "View.MemoryView":181 + * p = self.data + * for i in range(self.len / itemsize): + * p[i] = Py_None # <<<<<<<<<<<<<< + * Py_INCREF(Py_None) + * + */ + (__pyx_v_p[__pyx_v_i]) = Py_None; + + /* "View.MemoryView":182 + * for i in range(self.len / itemsize): + * p[i] = Py_None + * Py_INCREF(Py_None) # <<<<<<<<<<<<<< + * + * @cname('getbuffer') + */ + Py_INCREF(Py_None); + } + + /* "View.MemoryView":178 + * raise MemoryError("unable to allocate array data.") + * + * if self.dtype_is_object: # <<<<<<<<<<<<<< + * p = self.data + * for i in range(self.len / itemsize): + */ + } + + /* "View.MemoryView":171 + * self.free_data = allocate_buffer + * self.dtype_is_object = format == b'O' + * if allocate_buffer: # <<<<<<<<<<<<<< + * + * + */ + } + + /* "View.MemoryView":122 + * cdef bint dtype_is_object + * + * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< + * mode="c", bint allocate_buffer=True): + * + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_10); + __Pyx_AddTraceback("View.MemoryView.array.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_format); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":185 + * + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< + * cdef int bufmode = -1 + * if self.mode == u"c": + */ + +/* Python wrapper */ +static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); + __pyx_r = __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(((struct __pyx_array_obj *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { + int __pyx_v_bufmode; + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + char *__pyx_t_4; + Py_ssize_t __pyx_t_5; + int __pyx_t_6; + Py_ssize_t *__pyx_t_7; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + if (__pyx_v_info == NULL) { + PyErr_SetString(PyExc_BufferError, "PyObject_GetBuffer: view==NULL argument is obsolete"); + return -1; + } + __Pyx_RefNannySetupContext("__getbuffer__", 0); + __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(__pyx_v_info->obj); + + /* "View.MemoryView":186 + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): + * cdef int bufmode = -1 # <<<<<<<<<<<<<< + * if self.mode == u"c": + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + */ + __pyx_v_bufmode = -1; + + /* "View.MemoryView":187 + * def __getbuffer__(self, Py_buffer *info, int flags): + * cdef int bufmode = -1 + * if self.mode == u"c": # <<<<<<<<<<<<<< + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * elif self.mode == u"fortran": + */ + __pyx_t_1 = (__Pyx_PyUnicode_Equals(__pyx_v_self->mode, __pyx_n_u_c, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(2, 187, __pyx_L1_error) + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":188 + * cdef int bufmode = -1 + * if self.mode == u"c": + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS # <<<<<<<<<<<<<< + * elif self.mode == u"fortran": + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + */ + __pyx_v_bufmode = (PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS); + + /* "View.MemoryView":187 + * def __getbuffer__(self, Py_buffer *info, int flags): + * cdef int bufmode = -1 + * if self.mode == u"c": # <<<<<<<<<<<<<< + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * elif self.mode == u"fortran": + */ + goto __pyx_L3; + } + + /* "View.MemoryView":189 + * if self.mode == u"c": + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * elif self.mode == u"fortran": # <<<<<<<<<<<<<< + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * if not (flags & bufmode): + */ + __pyx_t_2 = (__Pyx_PyUnicode_Equals(__pyx_v_self->mode, __pyx_n_u_fortran, Py_EQ)); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(2, 189, __pyx_L1_error) + __pyx_t_1 = (__pyx_t_2 != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":190 + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * elif self.mode == u"fortran": + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS # <<<<<<<<<<<<<< + * if not (flags & bufmode): + * raise ValueError("Can only create a buffer that is contiguous in memory.") + */ + __pyx_v_bufmode = (PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS); + + /* "View.MemoryView":189 + * if self.mode == u"c": + * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * elif self.mode == u"fortran": # <<<<<<<<<<<<<< + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * if not (flags & bufmode): + */ + } + __pyx_L3:; + + /* "View.MemoryView":191 + * elif self.mode == u"fortran": + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * if not (flags & bufmode): # <<<<<<<<<<<<<< + * raise ValueError("Can only create a buffer that is contiguous in memory.") + * info.buf = self.data + */ + __pyx_t_1 = ((!((__pyx_v_flags & __pyx_v_bufmode) != 0)) != 0); + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":192 + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * if not (flags & bufmode): + * raise ValueError("Can only create a buffer that is contiguous in memory.") # <<<<<<<<<<<<<< + * info.buf = self.data + * info.len = self.len + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__21, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 192, __pyx_L1_error) + + /* "View.MemoryView":191 + * elif self.mode == u"fortran": + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * if not (flags & bufmode): # <<<<<<<<<<<<<< + * raise ValueError("Can only create a buffer that is contiguous in memory.") + * info.buf = self.data + */ + } + + /* "View.MemoryView":193 + * if not (flags & bufmode): + * raise ValueError("Can only create a buffer that is contiguous in memory.") + * info.buf = self.data # <<<<<<<<<<<<<< + * info.len = self.len + * info.ndim = self.ndim + */ + __pyx_t_4 = __pyx_v_self->data; + __pyx_v_info->buf = __pyx_t_4; + + /* "View.MemoryView":194 + * raise ValueError("Can only create a buffer that is contiguous in memory.") + * info.buf = self.data + * info.len = self.len # <<<<<<<<<<<<<< + * info.ndim = self.ndim + * info.shape = self._shape + */ + __pyx_t_5 = __pyx_v_self->len; + __pyx_v_info->len = __pyx_t_5; + + /* "View.MemoryView":195 + * info.buf = self.data + * info.len = self.len + * info.ndim = self.ndim # <<<<<<<<<<<<<< + * info.shape = self._shape + * info.strides = self._strides + */ + __pyx_t_6 = __pyx_v_self->ndim; + __pyx_v_info->ndim = __pyx_t_6; + + /* "View.MemoryView":196 + * info.len = self.len + * info.ndim = self.ndim + * info.shape = self._shape # <<<<<<<<<<<<<< + * info.strides = self._strides + * info.suboffsets = NULL + */ + __pyx_t_7 = __pyx_v_self->_shape; + __pyx_v_info->shape = __pyx_t_7; + + /* "View.MemoryView":197 + * info.ndim = self.ndim + * info.shape = self._shape + * info.strides = self._strides # <<<<<<<<<<<<<< + * info.suboffsets = NULL + * info.itemsize = self.itemsize + */ + __pyx_t_7 = __pyx_v_self->_strides; + __pyx_v_info->strides = __pyx_t_7; + + /* "View.MemoryView":198 + * info.shape = self._shape + * info.strides = self._strides + * info.suboffsets = NULL # <<<<<<<<<<<<<< + * info.itemsize = self.itemsize + * info.readonly = 0 + */ + __pyx_v_info->suboffsets = NULL; + + /* "View.MemoryView":199 + * info.strides = self._strides + * info.suboffsets = NULL + * info.itemsize = self.itemsize # <<<<<<<<<<<<<< + * info.readonly = 0 + * + */ + __pyx_t_5 = __pyx_v_self->itemsize; + __pyx_v_info->itemsize = __pyx_t_5; + + /* "View.MemoryView":200 + * info.suboffsets = NULL + * info.itemsize = self.itemsize + * info.readonly = 0 # <<<<<<<<<<<<<< + * + * if flags & PyBUF_FORMAT: + */ + __pyx_v_info->readonly = 0; + + /* "View.MemoryView":202 + * info.readonly = 0 + * + * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< + * info.format = self.format + * else: + */ + __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":203 + * + * if flags & PyBUF_FORMAT: + * info.format = self.format # <<<<<<<<<<<<<< + * else: + * info.format = NULL + */ + __pyx_t_4 = __pyx_v_self->format; + __pyx_v_info->format = __pyx_t_4; + + /* "View.MemoryView":202 + * info.readonly = 0 + * + * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< + * info.format = self.format + * else: + */ + goto __pyx_L5; + } + + /* "View.MemoryView":205 + * info.format = self.format + * else: + * info.format = NULL # <<<<<<<<<<<<<< + * + * info.obj = self + */ + /*else*/ { + __pyx_v_info->format = NULL; + } + __pyx_L5:; + + /* "View.MemoryView":207 + * info.format = NULL + * + * info.obj = self # <<<<<<<<<<<<<< + * + * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") + */ + __Pyx_INCREF(((PyObject *)__pyx_v_self)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); + __pyx_v_info->obj = ((PyObject *)__pyx_v_self); + + /* "View.MemoryView":185 + * + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< + * cdef int bufmode = -1 + * if self.mode == u"c": + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.array.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + if (__pyx_v_info->obj != NULL) { + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0; + } + goto __pyx_L2; + __pyx_L0:; + if (__pyx_v_info->obj == Py_None) { + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0; + } + __pyx_L2:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":211 + * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") + * + * def __dealloc__(array self): # <<<<<<<<<<<<<< + * if self.callback_free_data != NULL: + * self.callback_free_data(self.data) + */ + +/* Python wrapper */ +static void __pyx_array___dealloc__(PyObject *__pyx_v_self); /*proto*/ +static void __pyx_array___dealloc__(PyObject *__pyx_v_self) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); + __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(((struct __pyx_array_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self) { + __Pyx_RefNannyDeclarations + int __pyx_t_1; + __Pyx_RefNannySetupContext("__dealloc__", 0); + + /* "View.MemoryView":212 + * + * def __dealloc__(array self): + * if self.callback_free_data != NULL: # <<<<<<<<<<<<<< + * self.callback_free_data(self.data) + * elif self.free_data: + */ + __pyx_t_1 = ((__pyx_v_self->callback_free_data != NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":213 + * def __dealloc__(array self): + * if self.callback_free_data != NULL: + * self.callback_free_data(self.data) # <<<<<<<<<<<<<< + * elif self.free_data: + * if self.dtype_is_object: + */ + __pyx_v_self->callback_free_data(__pyx_v_self->data); + + /* "View.MemoryView":212 + * + * def __dealloc__(array self): + * if self.callback_free_data != NULL: # <<<<<<<<<<<<<< + * self.callback_free_data(self.data) + * elif self.free_data: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":214 + * if self.callback_free_data != NULL: + * self.callback_free_data(self.data) + * elif self.free_data: # <<<<<<<<<<<<<< + * if self.dtype_is_object: + * refcount_objects_in_slice(self.data, self._shape, + */ + __pyx_t_1 = (__pyx_v_self->free_data != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":215 + * self.callback_free_data(self.data) + * elif self.free_data: + * if self.dtype_is_object: # <<<<<<<<<<<<<< + * refcount_objects_in_slice(self.data, self._shape, + * self._strides, self.ndim, False) + */ + __pyx_t_1 = (__pyx_v_self->dtype_is_object != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":216 + * elif self.free_data: + * if self.dtype_is_object: + * refcount_objects_in_slice(self.data, self._shape, # <<<<<<<<<<<<<< + * self._strides, self.ndim, False) + * free(self.data) + */ + __pyx_memoryview_refcount_objects_in_slice(__pyx_v_self->data, __pyx_v_self->_shape, __pyx_v_self->_strides, __pyx_v_self->ndim, 0); + + /* "View.MemoryView":215 + * self.callback_free_data(self.data) + * elif self.free_data: + * if self.dtype_is_object: # <<<<<<<<<<<<<< + * refcount_objects_in_slice(self.data, self._shape, + * self._strides, self.ndim, False) + */ + } + + /* "View.MemoryView":218 + * refcount_objects_in_slice(self.data, self._shape, + * self._strides, self.ndim, False) + * free(self.data) # <<<<<<<<<<<<<< + * PyObject_Free(self._shape) + * + */ + free(__pyx_v_self->data); + + /* "View.MemoryView":214 + * if self.callback_free_data != NULL: + * self.callback_free_data(self.data) + * elif self.free_data: # <<<<<<<<<<<<<< + * if self.dtype_is_object: + * refcount_objects_in_slice(self.data, self._shape, + */ + } + __pyx_L3:; + + /* "View.MemoryView":219 + * self._strides, self.ndim, False) + * free(self.data) + * PyObject_Free(self._shape) # <<<<<<<<<<<<<< + * + * @property + */ + PyObject_Free(__pyx_v_self->_shape); + + /* "View.MemoryView":211 + * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") + * + * def __dealloc__(array self): # <<<<<<<<<<<<<< + * if self.callback_free_data != NULL: + * self.callback_free_data(self.data) + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "View.MemoryView":222 + * + * @property + * def memview(self): # <<<<<<<<<<<<<< + * return self.get_memview() + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_5array_7memview___get__(((struct __pyx_array_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":223 + * @property + * def memview(self): + * return self.get_memview() # <<<<<<<<<<<<<< + * + * @cname('get_memview') + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = ((struct __pyx_vtabstruct_array *)__pyx_v_self->__pyx_vtab)->get_memview(__pyx_v_self); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 223, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "View.MemoryView":222 + * + * @property + * def memview(self): # <<<<<<<<<<<<<< + * return self.get_memview() + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.array.memview.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":226 + * + * @cname('get_memview') + * cdef get_memview(self): # <<<<<<<<<<<<<< + * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE + * return memoryview(self, flags, self.dtype_is_object) + */ + +static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self) { + int __pyx_v_flags; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("get_memview", 0); + + /* "View.MemoryView":227 + * @cname('get_memview') + * cdef get_memview(self): + * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE # <<<<<<<<<<<<<< + * return memoryview(self, flags, self.dtype_is_object) + * + */ + __pyx_v_flags = ((PyBUF_ANY_CONTIGUOUS | PyBUF_FORMAT) | PyBUF_WRITABLE); + + /* "View.MemoryView":228 + * cdef get_memview(self): + * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE + * return memoryview(self, flags, self.dtype_is_object) # <<<<<<<<<<<<<< + * + * def __len__(self): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_flags); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_self->dtype_is_object); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(((PyObject *)__pyx_v_self)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); + PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_self)); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryview_type), __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 228, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":226 + * + * @cname('get_memview') + * cdef get_memview(self): # <<<<<<<<<<<<<< + * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE + * return memoryview(self, flags, self.dtype_is_object) + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.array.get_memview", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":230 + * return memoryview(self, flags, self.dtype_is_object) + * + * def __len__(self): # <<<<<<<<<<<<<< + * return self._shape[0] + * + */ + +/* Python wrapper */ +static Py_ssize_t __pyx_array___len__(PyObject *__pyx_v_self); /*proto*/ +static Py_ssize_t __pyx_array___len__(PyObject *__pyx_v_self) { + Py_ssize_t __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__len__ (wrapper)", 0); + __pyx_r = __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(((struct __pyx_array_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self) { + Py_ssize_t __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__len__", 0); + + /* "View.MemoryView":231 + * + * def __len__(self): + * return self._shape[0] # <<<<<<<<<<<<<< + * + * def __getattr__(self, attr): + */ + __pyx_r = (__pyx_v_self->_shape[0]); + goto __pyx_L0; + + /* "View.MemoryView":230 + * return memoryview(self, flags, self.dtype_is_object) + * + * def __len__(self): # <<<<<<<<<<<<<< + * return self._shape[0] + * + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":233 + * return self._shape[0] + * + * def __getattr__(self, attr): # <<<<<<<<<<<<<< + * return getattr(self.memview, attr) + * + */ + +/* Python wrapper */ +static PyObject *__pyx_array___getattr__(PyObject *__pyx_v_self, PyObject *__pyx_v_attr); /*proto*/ +static PyObject *__pyx_array___getattr__(PyObject *__pyx_v_self, PyObject *__pyx_v_attr) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__getattr__ (wrapper)", 0); + __pyx_r = __pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_attr)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__getattr__", 0); + + /* "View.MemoryView":234 + * + * def __getattr__(self, attr): + * return getattr(self.memview, attr) # <<<<<<<<<<<<<< + * + * def __getitem__(self, item): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_memview); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 234, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_GetAttr(__pyx_t_1, __pyx_v_attr); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 234, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":233 + * return self._shape[0] + * + * def __getattr__(self, attr): # <<<<<<<<<<<<<< + * return getattr(self.memview, attr) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.array.__getattr__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":236 + * return getattr(self.memview, attr) + * + * def __getitem__(self, item): # <<<<<<<<<<<<<< + * return self.memview[item] + * + */ + +/* Python wrapper */ +static PyObject *__pyx_array___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item); /*proto*/ +static PyObject *__pyx_array___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__getitem__ (wrapper)", 0); + __pyx_r = __pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_item)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__getitem__", 0); + + /* "View.MemoryView":237 + * + * def __getitem__(self, item): + * return self.memview[item] # <<<<<<<<<<<<<< + * + * def __setitem__(self, item, value): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_memview); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetItem(__pyx_t_1, __pyx_v_item); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 237, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":236 + * return getattr(self.memview, attr) + * + * def __getitem__(self, item): # <<<<<<<<<<<<<< + * return self.memview[item] + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.array.__getitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":239 + * return self.memview[item] + * + * def __setitem__(self, item, value): # <<<<<<<<<<<<<< + * self.memview[item] = value + * + */ + +/* Python wrapper */ +static int __pyx_array___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /*proto*/ +static int __pyx_array___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value) { + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__setitem__ (wrapper)", 0); + __pyx_r = __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_item), ((PyObject *)__pyx_v_value)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value) { + int __pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__setitem__", 0); + + /* "View.MemoryView":240 + * + * def __setitem__(self, item, value): + * self.memview[item] = value # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_memview); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 240, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (unlikely(PyObject_SetItem(__pyx_t_1, __pyx_v_item, __pyx_v_value) < 0)) __PYX_ERR(2, 240, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "View.MemoryView":239 + * return self.memview[item] + * + * def __setitem__(self, item, value): # <<<<<<<<<<<<<< + * self.memview[item] = value + * + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.array.__setitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_array_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_pw___pyx_array_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__reduce_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_array___reduce_cython__(((struct __pyx_array_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__reduce_cython__", 0); + + /* "(tree fragment)":2 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__22, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 2, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 2, __pyx_L1_error) + + /* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.array.__reduce_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":3 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_array_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state); /*proto*/ +static PyObject *__pyx_pw___pyx_array_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__setstate_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_array_2__setstate_cython__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v___pyx_state)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__setstate_cython__", 0); + + /* "(tree fragment)":4 + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__23, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 4, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 4, __pyx_L1_error) + + /* "(tree fragment)":3 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.array.__setstate_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":244 + * + * @cname("__pyx_array_new") + * cdef array array_cwrapper(tuple shape, Py_ssize_t itemsize, char *format, # <<<<<<<<<<<<<< + * char *mode, char *buf): + * cdef array result + */ + +static struct __pyx_array_obj *__pyx_array_new(PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, char *__pyx_v_format, char *__pyx_v_mode, char *__pyx_v_buf) { + struct __pyx_array_obj *__pyx_v_result = 0; + struct __pyx_array_obj *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("array_cwrapper", 0); + + /* "View.MemoryView":248 + * cdef array result + * + * if buf == NULL: # <<<<<<<<<<<<<< + * result = array(shape, itemsize, format, mode.decode('ASCII')) + * else: + */ + __pyx_t_1 = ((__pyx_v_buf == NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":249 + * + * if buf == NULL: + * result = array(shape, itemsize, format, mode.decode('ASCII')) # <<<<<<<<<<<<<< + * else: + * result = array(shape, itemsize, format, mode.decode('ASCII'), + */ + __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_itemsize); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 249, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyBytes_FromString(__pyx_v_format); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 249, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_decode_c_string(__pyx_v_mode, 0, strlen(__pyx_v_mode), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 249, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = PyTuple_New(4); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 249, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_INCREF(__pyx_v_shape); + __Pyx_GIVEREF(__pyx_v_shape); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_v_shape); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_5, 2, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_5, 3, __pyx_t_4); + __pyx_t_2 = 0; + __pyx_t_3 = 0; + __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_Call(((PyObject *)__pyx_array_type), __pyx_t_5, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 249, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_v_result = ((struct __pyx_array_obj *)__pyx_t_4); + __pyx_t_4 = 0; + + /* "View.MemoryView":248 + * cdef array result + * + * if buf == NULL: # <<<<<<<<<<<<<< + * result = array(shape, itemsize, format, mode.decode('ASCII')) + * else: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":251 + * result = array(shape, itemsize, format, mode.decode('ASCII')) + * else: + * result = array(shape, itemsize, format, mode.decode('ASCII'), # <<<<<<<<<<<<<< + * allocate_buffer=False) + * result.data = buf + */ + /*else*/ { + __pyx_t_4 = PyInt_FromSsize_t(__pyx_v_itemsize); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 251, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = __Pyx_PyBytes_FromString(__pyx_v_format); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 251, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_3 = __Pyx_decode_c_string(__pyx_v_mode, 0, strlen(__pyx_v_mode), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 251, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_2 = PyTuple_New(4); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 251, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_v_shape); + __Pyx_GIVEREF(__pyx_v_shape); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_shape); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_4); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_2, 2, __pyx_t_5); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_2, 3, __pyx_t_3); + __pyx_t_4 = 0; + __pyx_t_5 = 0; + __pyx_t_3 = 0; + + /* "View.MemoryView":252 + * else: + * result = array(shape, itemsize, format, mode.decode('ASCII'), + * allocate_buffer=False) # <<<<<<<<<<<<<< + * result.data = buf + * + */ + __pyx_t_3 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 252, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_allocate_buffer, Py_False) < 0) __PYX_ERR(2, 252, __pyx_L1_error) + + /* "View.MemoryView":251 + * result = array(shape, itemsize, format, mode.decode('ASCII')) + * else: + * result = array(shape, itemsize, format, mode.decode('ASCII'), # <<<<<<<<<<<<<< + * allocate_buffer=False) + * result.data = buf + */ + __pyx_t_5 = __Pyx_PyObject_Call(((PyObject *)__pyx_array_type), __pyx_t_2, __pyx_t_3); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 251, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_result = ((struct __pyx_array_obj *)__pyx_t_5); + __pyx_t_5 = 0; + + /* "View.MemoryView":253 + * result = array(shape, itemsize, format, mode.decode('ASCII'), + * allocate_buffer=False) + * result.data = buf # <<<<<<<<<<<<<< + * + * return result + */ + __pyx_v_result->data = __pyx_v_buf; + } + __pyx_L3:; + + /* "View.MemoryView":255 + * result.data = buf + * + * return result # <<<<<<<<<<<<<< + * + * + */ + __Pyx_XDECREF(((PyObject *)__pyx_r)); + __Pyx_INCREF(((PyObject *)__pyx_v_result)); + __pyx_r = __pyx_v_result; + goto __pyx_L0; + + /* "View.MemoryView":244 + * + * @cname("__pyx_array_new") + * cdef array array_cwrapper(tuple shape, Py_ssize_t itemsize, char *format, # <<<<<<<<<<<<<< + * char *mode, char *buf): + * cdef array result + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.array_cwrapper", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_result); + __Pyx_XGIVEREF((PyObject *)__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":281 + * cdef class Enum(object): + * cdef object name + * def __init__(self, name): # <<<<<<<<<<<<<< + * self.name = name + * def __repr__(self): + */ + +/* Python wrapper */ +static int __pyx_MemviewEnum___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static int __pyx_MemviewEnum___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_name = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__init__ (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_name,0}; + PyObject* values[1] = {0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_name)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__init__") < 0)) __PYX_ERR(2, 281, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 1) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + } + __pyx_v_name = values[0]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__init__", 1, 1, 1, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(2, 281, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("View.MemoryView.Enum.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return -1; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self), __pyx_v_name); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name) { + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__init__", 0); + + /* "View.MemoryView":282 + * cdef object name + * def __init__(self, name): + * self.name = name # <<<<<<<<<<<<<< + * def __repr__(self): + * return self.name + */ + __Pyx_INCREF(__pyx_v_name); + __Pyx_GIVEREF(__pyx_v_name); + __Pyx_GOTREF(__pyx_v_self->name); + __Pyx_DECREF(__pyx_v_self->name); + __pyx_v_self->name = __pyx_v_name; + + /* "View.MemoryView":281 + * cdef class Enum(object): + * cdef object name + * def __init__(self, name): # <<<<<<<<<<<<<< + * self.name = name + * def __repr__(self): + */ + + /* function exit code */ + __pyx_r = 0; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":283 + * def __init__(self, name): + * self.name = name + * def __repr__(self): # <<<<<<<<<<<<<< + * return self.name + * + */ + +/* Python wrapper */ +static PyObject *__pyx_MemviewEnum___repr__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_MemviewEnum___repr__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__repr__ (wrapper)", 0); + __pyx_r = __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__repr__", 0); + + /* "View.MemoryView":284 + * self.name = name + * def __repr__(self): + * return self.name # <<<<<<<<<<<<<< + * + * cdef generic = Enum("") + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_self->name); + __pyx_r = __pyx_v_self->name; + goto __pyx_L0; + + /* "View.MemoryView":283 + * def __init__(self, name): + * self.name = name + * def __repr__(self): # <<<<<<<<<<<<<< + * return self.name + * + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * cdef tuple state + * cdef object _dict + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_MemviewEnum_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_pw___pyx_MemviewEnum_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__reduce_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_MemviewEnum___reduce_cython__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self) { + PyObject *__pyx_v_state = 0; + PyObject *__pyx_v__dict = 0; + int __pyx_v_use_setstate; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + int __pyx_t_3; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__reduce_cython__", 0); + + /* "(tree fragment)":5 + * cdef object _dict + * cdef bint use_setstate + * state = (self.name,) # <<<<<<<<<<<<<< + * _dict = getattr(self, '__dict__', None) + * if _dict is not None: + */ + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 5, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v_self->name); + __Pyx_GIVEREF(__pyx_v_self->name); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_self->name); + __pyx_v_state = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + + /* "(tree fragment)":6 + * cdef bint use_setstate + * state = (self.name,) + * _dict = getattr(self, '__dict__', None) # <<<<<<<<<<<<<< + * if _dict is not None: + * state += (_dict,) + */ + __pyx_t_1 = __Pyx_GetAttr3(((PyObject *)__pyx_v_self), __pyx_n_s_dict, Py_None); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 6, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v__dict = __pyx_t_1; + __pyx_t_1 = 0; + + /* "(tree fragment)":7 + * state = (self.name,) + * _dict = getattr(self, '__dict__', None) + * if _dict is not None: # <<<<<<<<<<<<<< + * state += (_dict,) + * use_setstate = True + */ + __pyx_t_2 = (__pyx_v__dict != Py_None); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + + /* "(tree fragment)":8 + * _dict = getattr(self, '__dict__', None) + * if _dict is not None: + * state += (_dict,) # <<<<<<<<<<<<<< + * use_setstate = True + * else: + */ + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 8, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_v__dict); + __Pyx_GIVEREF(__pyx_v__dict); + PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v__dict); + __pyx_t_4 = PyNumber_InPlaceAdd(__pyx_v_state, __pyx_t_1); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 8, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF_SET(__pyx_v_state, ((PyObject*)__pyx_t_4)); + __pyx_t_4 = 0; + + /* "(tree fragment)":9 + * if _dict is not None: + * state += (_dict,) + * use_setstate = True # <<<<<<<<<<<<<< + * else: + * use_setstate = self.name is not None + */ + __pyx_v_use_setstate = 1; + + /* "(tree fragment)":7 + * state = (self.name,) + * _dict = getattr(self, '__dict__', None) + * if _dict is not None: # <<<<<<<<<<<<<< + * state += (_dict,) + * use_setstate = True + */ + goto __pyx_L3; + } + + /* "(tree fragment)":11 + * use_setstate = True + * else: + * use_setstate = self.name is not None # <<<<<<<<<<<<<< + * if use_setstate: + * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state + */ + /*else*/ { + __pyx_t_3 = (__pyx_v_self->name != Py_None); + __pyx_v_use_setstate = __pyx_t_3; + } + __pyx_L3:; + + /* "(tree fragment)":12 + * else: + * use_setstate = self.name is not None + * if use_setstate: # <<<<<<<<<<<<<< + * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state + * else: + */ + __pyx_t_3 = (__pyx_v_use_setstate != 0); + if (__pyx_t_3) { + + /* "(tree fragment)":13 + * use_setstate = self.name is not None + * if use_setstate: + * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state # <<<<<<<<<<<<<< + * else: + * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_pyx_unpickle_Enum); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 13, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 13, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); + __Pyx_GIVEREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); + PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); + __Pyx_INCREF(__pyx_int_184977713); + __Pyx_GIVEREF(__pyx_int_184977713); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_int_184977713); + __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(Py_None); + PyTuple_SET_ITEM(__pyx_t_1, 2, Py_None); + __pyx_t_5 = PyTuple_New(3); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 13, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_4); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_1); + __Pyx_INCREF(__pyx_v_state); + __Pyx_GIVEREF(__pyx_v_state); + PyTuple_SET_ITEM(__pyx_t_5, 2, __pyx_v_state); + __pyx_t_4 = 0; + __pyx_t_1 = 0; + __pyx_r = __pyx_t_5; + __pyx_t_5 = 0; + goto __pyx_L0; + + /* "(tree fragment)":12 + * else: + * use_setstate = self.name is not None + * if use_setstate: # <<<<<<<<<<<<<< + * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state + * else: + */ + } + + /* "(tree fragment)":15 + * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state + * else: + * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * __pyx_unpickle_Enum__set_state(self, __pyx_state) + */ + /*else*/ { + __Pyx_XDECREF(__pyx_r); + __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_pyx_unpickle_Enum); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 15, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 15, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); + __Pyx_GIVEREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); + PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); + __Pyx_INCREF(__pyx_int_184977713); + __Pyx_GIVEREF(__pyx_int_184977713); + PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_int_184977713); + __Pyx_INCREF(__pyx_v_state); + __Pyx_GIVEREF(__pyx_v_state); + PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_v_state); + __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 15, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_GIVEREF(__pyx_t_5); + PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_5); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_t_1); + __pyx_t_5 = 0; + __pyx_t_1 = 0; + __pyx_r = __pyx_t_4; + __pyx_t_4 = 0; + goto __pyx_L0; + } + + /* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * cdef tuple state + * cdef object _dict + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.Enum.__reduce_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_state); + __Pyx_XDECREF(__pyx_v__dict); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":16 + * else: + * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * __pyx_unpickle_Enum__set_state(self, __pyx_state) + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_MemviewEnum_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state); /*proto*/ +static PyObject *__pyx_pw___pyx_MemviewEnum_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__setstate_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_MemviewEnum_2__setstate_cython__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self), ((PyObject *)__pyx_v___pyx_state)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__setstate_cython__", 0); + + /* "(tree fragment)":17 + * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) + * def __setstate_cython__(self, __pyx_state): + * __pyx_unpickle_Enum__set_state(self, __pyx_state) # <<<<<<<<<<<<<< + */ + if (!(likely(PyTuple_CheckExact(__pyx_v___pyx_state))||((__pyx_v___pyx_state) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "tuple", Py_TYPE(__pyx_v___pyx_state)->tp_name), 0))) __PYX_ERR(2, 17, __pyx_L1_error) + __pyx_t_1 = __pyx_unpickle_Enum__set_state(__pyx_v_self, ((PyObject*)__pyx_v___pyx_state)); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 17, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "(tree fragment)":16 + * else: + * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * __pyx_unpickle_Enum__set_state(self, __pyx_state) + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.Enum.__setstate_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":298 + * + * @cname('__pyx_align_pointer') + * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< + * "Align pointer memory on a given boundary" + * cdef Py_intptr_t aligned_p = memory + */ + +static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) { + Py_intptr_t __pyx_v_aligned_p; + size_t __pyx_v_offset; + void *__pyx_r; + int __pyx_t_1; + + /* "View.MemoryView":300 + * cdef void *align_pointer(void *memory, size_t alignment) nogil: + * "Align pointer memory on a given boundary" + * cdef Py_intptr_t aligned_p = memory # <<<<<<<<<<<<<< + * cdef size_t offset + * + */ + __pyx_v_aligned_p = ((Py_intptr_t)__pyx_v_memory); + + /* "View.MemoryView":304 + * + * with cython.cdivision(True): + * offset = aligned_p % alignment # <<<<<<<<<<<<<< + * + * if offset > 0: + */ + __pyx_v_offset = (__pyx_v_aligned_p % __pyx_v_alignment); + + /* "View.MemoryView":306 + * offset = aligned_p % alignment + * + * if offset > 0: # <<<<<<<<<<<<<< + * aligned_p += alignment - offset + * + */ + __pyx_t_1 = ((__pyx_v_offset > 0) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":307 + * + * if offset > 0: + * aligned_p += alignment - offset # <<<<<<<<<<<<<< + * + * return aligned_p + */ + __pyx_v_aligned_p = (__pyx_v_aligned_p + (__pyx_v_alignment - __pyx_v_offset)); + + /* "View.MemoryView":306 + * offset = aligned_p % alignment + * + * if offset > 0: # <<<<<<<<<<<<<< + * aligned_p += alignment - offset + * + */ + } + + /* "View.MemoryView":309 + * aligned_p += alignment - offset + * + * return aligned_p # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = ((void *)__pyx_v_aligned_p); + goto __pyx_L0; + + /* "View.MemoryView":298 + * + * @cname('__pyx_align_pointer') + * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< + * "Align pointer memory on a given boundary" + * cdef Py_intptr_t aligned_p = memory + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":345 + * cdef __Pyx_TypeInfo *typeinfo + * + * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< + * self.obj = obj + * self.flags = flags + */ + +/* Python wrapper */ +static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v_obj = 0; + int __pyx_v_flags; + int __pyx_v_dtype_is_object; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_obj,&__pyx_n_s_flags,&__pyx_n_s_dtype_is_object,0}; + PyObject* values[3] = {0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_obj)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_flags)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, 1); __PYX_ERR(2, 345, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (kw_args > 0) { + PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_dtype_is_object); + if (value) { values[2] = value; kw_args--; } + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) __PYX_ERR(2, 345, __pyx_L3_error) + } + } else { + switch (PyTuple_GET_SIZE(__pyx_args)) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + break; + default: goto __pyx_L5_argtuple_error; + } + } + __pyx_v_obj = values[0]; + __pyx_v_flags = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_flags == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 345, __pyx_L3_error) + if (values[2]) { + __pyx_v_dtype_is_object = __Pyx_PyObject_IsTrue(values[2]); if (unlikely((__pyx_v_dtype_is_object == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 345, __pyx_L3_error) + } else { + __pyx_v_dtype_is_object = ((int)0); + } + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(2, 345, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("View.MemoryView.memoryview.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return -1; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_obj, __pyx_v_flags, __pyx_v_dtype_is_object); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object) { + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__cinit__", 0); + + /* "View.MemoryView":346 + * + * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): + * self.obj = obj # <<<<<<<<<<<<<< + * self.flags = flags + * if type(self) is memoryview or obj is not None: + */ + __Pyx_INCREF(__pyx_v_obj); + __Pyx_GIVEREF(__pyx_v_obj); + __Pyx_GOTREF(__pyx_v_self->obj); + __Pyx_DECREF(__pyx_v_self->obj); + __pyx_v_self->obj = __pyx_v_obj; + + /* "View.MemoryView":347 + * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): + * self.obj = obj + * self.flags = flags # <<<<<<<<<<<<<< + * if type(self) is memoryview or obj is not None: + * __Pyx_GetBuffer(obj, &self.view, flags) + */ + __pyx_v_self->flags = __pyx_v_flags; + + /* "View.MemoryView":348 + * self.obj = obj + * self.flags = flags + * if type(self) is memoryview or obj is not None: # <<<<<<<<<<<<<< + * __Pyx_GetBuffer(obj, &self.view, flags) + * if self.view.obj == NULL: + */ + __pyx_t_2 = (((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self))) == ((PyObject *)__pyx_memoryview_type)); + __pyx_t_3 = (__pyx_t_2 != 0); + if (!__pyx_t_3) { + } else { + __pyx_t_1 = __pyx_t_3; + goto __pyx_L4_bool_binop_done; + } + __pyx_t_3 = (__pyx_v_obj != Py_None); + __pyx_t_2 = (__pyx_t_3 != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L4_bool_binop_done:; + if (__pyx_t_1) { + + /* "View.MemoryView":349 + * self.flags = flags + * if type(self) is memoryview or obj is not None: + * __Pyx_GetBuffer(obj, &self.view, flags) # <<<<<<<<<<<<<< + * if self.view.obj == NULL: + * (<__pyx_buffer *> &self.view).obj = Py_None + */ + __pyx_t_4 = __Pyx_GetBuffer(__pyx_v_obj, (&__pyx_v_self->view), __pyx_v_flags); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 349, __pyx_L1_error) + + /* "View.MemoryView":350 + * if type(self) is memoryview or obj is not None: + * __Pyx_GetBuffer(obj, &self.view, flags) + * if self.view.obj == NULL: # <<<<<<<<<<<<<< + * (<__pyx_buffer *> &self.view).obj = Py_None + * Py_INCREF(Py_None) + */ + __pyx_t_1 = ((((PyObject *)__pyx_v_self->view.obj) == NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":351 + * __Pyx_GetBuffer(obj, &self.view, flags) + * if self.view.obj == NULL: + * (<__pyx_buffer *> &self.view).obj = Py_None # <<<<<<<<<<<<<< + * Py_INCREF(Py_None) + * + */ + ((Py_buffer *)(&__pyx_v_self->view))->obj = Py_None; + + /* "View.MemoryView":352 + * if self.view.obj == NULL: + * (<__pyx_buffer *> &self.view).obj = Py_None + * Py_INCREF(Py_None) # <<<<<<<<<<<<<< + * + * global __pyx_memoryview_thread_locks_used + */ + Py_INCREF(Py_None); + + /* "View.MemoryView":350 + * if type(self) is memoryview or obj is not None: + * __Pyx_GetBuffer(obj, &self.view, flags) + * if self.view.obj == NULL: # <<<<<<<<<<<<<< + * (<__pyx_buffer *> &self.view).obj = Py_None + * Py_INCREF(Py_None) + */ + } + + /* "View.MemoryView":348 + * self.obj = obj + * self.flags = flags + * if type(self) is memoryview or obj is not None: # <<<<<<<<<<<<<< + * __Pyx_GetBuffer(obj, &self.view, flags) + * if self.view.obj == NULL: + */ + } + + /* "View.MemoryView":355 + * + * global __pyx_memoryview_thread_locks_used + * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: # <<<<<<<<<<<<<< + * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] + * __pyx_memoryview_thread_locks_used += 1 + */ + __pyx_t_1 = ((__pyx_memoryview_thread_locks_used < 8) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":356 + * global __pyx_memoryview_thread_locks_used + * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: + * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] # <<<<<<<<<<<<<< + * __pyx_memoryview_thread_locks_used += 1 + * if self.lock is NULL: + */ + __pyx_v_self->lock = (__pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]); + + /* "View.MemoryView":357 + * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: + * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] + * __pyx_memoryview_thread_locks_used += 1 # <<<<<<<<<<<<<< + * if self.lock is NULL: + * self.lock = PyThread_allocate_lock() + */ + __pyx_memoryview_thread_locks_used = (__pyx_memoryview_thread_locks_used + 1); + + /* "View.MemoryView":355 + * + * global __pyx_memoryview_thread_locks_used + * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: # <<<<<<<<<<<<<< + * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] + * __pyx_memoryview_thread_locks_used += 1 + */ + } + + /* "View.MemoryView":358 + * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] + * __pyx_memoryview_thread_locks_used += 1 + * if self.lock is NULL: # <<<<<<<<<<<<<< + * self.lock = PyThread_allocate_lock() + * if self.lock is NULL: + */ + __pyx_t_1 = ((__pyx_v_self->lock == NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":359 + * __pyx_memoryview_thread_locks_used += 1 + * if self.lock is NULL: + * self.lock = PyThread_allocate_lock() # <<<<<<<<<<<<<< + * if self.lock is NULL: + * raise MemoryError + */ + __pyx_v_self->lock = PyThread_allocate_lock(); + + /* "View.MemoryView":360 + * if self.lock is NULL: + * self.lock = PyThread_allocate_lock() + * if self.lock is NULL: # <<<<<<<<<<<<<< + * raise MemoryError + * + */ + __pyx_t_1 = ((__pyx_v_self->lock == NULL) != 0); + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":361 + * self.lock = PyThread_allocate_lock() + * if self.lock is NULL: + * raise MemoryError # <<<<<<<<<<<<<< + * + * if flags & PyBUF_FORMAT: + */ + PyErr_NoMemory(); __PYX_ERR(2, 361, __pyx_L1_error) + + /* "View.MemoryView":360 + * if self.lock is NULL: + * self.lock = PyThread_allocate_lock() + * if self.lock is NULL: # <<<<<<<<<<<<<< + * raise MemoryError + * + */ + } + + /* "View.MemoryView":358 + * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] + * __pyx_memoryview_thread_locks_used += 1 + * if self.lock is NULL: # <<<<<<<<<<<<<< + * self.lock = PyThread_allocate_lock() + * if self.lock is NULL: + */ + } + + /* "View.MemoryView":363 + * raise MemoryError + * + * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< + * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') + * else: + */ + __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":364 + * + * if flags & PyBUF_FORMAT: + * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') # <<<<<<<<<<<<<< + * else: + * self.dtype_is_object = dtype_is_object + */ + __pyx_t_2 = (((__pyx_v_self->view.format[0]) == 'O') != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L11_bool_binop_done; + } + __pyx_t_2 = (((__pyx_v_self->view.format[1]) == '\x00') != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L11_bool_binop_done:; + __pyx_v_self->dtype_is_object = __pyx_t_1; + + /* "View.MemoryView":363 + * raise MemoryError + * + * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< + * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') + * else: + */ + goto __pyx_L10; + } + + /* "View.MemoryView":366 + * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') + * else: + * self.dtype_is_object = dtype_is_object # <<<<<<<<<<<<<< + * + * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( + */ + /*else*/ { + __pyx_v_self->dtype_is_object = __pyx_v_dtype_is_object; + } + __pyx_L10:; + + /* "View.MemoryView":368 + * self.dtype_is_object = dtype_is_object + * + * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( # <<<<<<<<<<<<<< + * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) + * self.typeinfo = NULL + */ + __pyx_v_self->acquisition_count_aligned_p = ((__pyx_atomic_int *)__pyx_align_pointer(((void *)(&(__pyx_v_self->acquisition_count[0]))), (sizeof(__pyx_atomic_int)))); + + /* "View.MemoryView":370 + * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( + * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) + * self.typeinfo = NULL # <<<<<<<<<<<<<< + * + * def __dealloc__(memoryview self): + */ + __pyx_v_self->typeinfo = NULL; + + /* "View.MemoryView":345 + * cdef __Pyx_TypeInfo *typeinfo + * + * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< + * self.obj = obj + * self.flags = flags + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_AddTraceback("View.MemoryView.memoryview.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":372 + * self.typeinfo = NULL + * + * def __dealloc__(memoryview self): # <<<<<<<<<<<<<< + * if self.obj is not None: + * __Pyx_ReleaseBuffer(&self.view) + */ + +/* Python wrapper */ +static void __pyx_memoryview___dealloc__(PyObject *__pyx_v_self); /*proto*/ +static void __pyx_memoryview___dealloc__(PyObject *__pyx_v_self) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); + __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self) { + int __pyx_v_i; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + int __pyx_t_5; + PyThread_type_lock __pyx_t_6; + PyThread_type_lock __pyx_t_7; + __Pyx_RefNannySetupContext("__dealloc__", 0); + + /* "View.MemoryView":373 + * + * def __dealloc__(memoryview self): + * if self.obj is not None: # <<<<<<<<<<<<<< + * __Pyx_ReleaseBuffer(&self.view) + * elif (<__pyx_buffer *> &self.view).obj == Py_None: + */ + __pyx_t_1 = (__pyx_v_self->obj != Py_None); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":374 + * def __dealloc__(memoryview self): + * if self.obj is not None: + * __Pyx_ReleaseBuffer(&self.view) # <<<<<<<<<<<<<< + * elif (<__pyx_buffer *> &self.view).obj == Py_None: + * + */ + __Pyx_ReleaseBuffer((&__pyx_v_self->view)); + + /* "View.MemoryView":373 + * + * def __dealloc__(memoryview self): + * if self.obj is not None: # <<<<<<<<<<<<<< + * __Pyx_ReleaseBuffer(&self.view) + * elif (<__pyx_buffer *> &self.view).obj == Py_None: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":375 + * if self.obj is not None: + * __Pyx_ReleaseBuffer(&self.view) + * elif (<__pyx_buffer *> &self.view).obj == Py_None: # <<<<<<<<<<<<<< + * + * (<__pyx_buffer *> &self.view).obj = NULL + */ + __pyx_t_2 = ((((Py_buffer *)(&__pyx_v_self->view))->obj == Py_None) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":377 + * elif (<__pyx_buffer *> &self.view).obj == Py_None: + * + * (<__pyx_buffer *> &self.view).obj = NULL # <<<<<<<<<<<<<< + * Py_DECREF(Py_None) + * + */ + ((Py_buffer *)(&__pyx_v_self->view))->obj = NULL; + + /* "View.MemoryView":378 + * + * (<__pyx_buffer *> &self.view).obj = NULL + * Py_DECREF(Py_None) # <<<<<<<<<<<<<< + * + * cdef int i + */ + Py_DECREF(Py_None); + + /* "View.MemoryView":375 + * if self.obj is not None: + * __Pyx_ReleaseBuffer(&self.view) + * elif (<__pyx_buffer *> &self.view).obj == Py_None: # <<<<<<<<<<<<<< + * + * (<__pyx_buffer *> &self.view).obj = NULL + */ + } + __pyx_L3:; + + /* "View.MemoryView":382 + * cdef int i + * global __pyx_memoryview_thread_locks_used + * if self.lock != NULL: # <<<<<<<<<<<<<< + * for i in range(__pyx_memoryview_thread_locks_used): + * if __pyx_memoryview_thread_locks[i] is self.lock: + */ + __pyx_t_2 = ((__pyx_v_self->lock != NULL) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":383 + * global __pyx_memoryview_thread_locks_used + * if self.lock != NULL: + * for i in range(__pyx_memoryview_thread_locks_used): # <<<<<<<<<<<<<< + * if __pyx_memoryview_thread_locks[i] is self.lock: + * __pyx_memoryview_thread_locks_used -= 1 + */ + __pyx_t_3 = __pyx_memoryview_thread_locks_used; + __pyx_t_4 = __pyx_t_3; + for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { + __pyx_v_i = __pyx_t_5; + + /* "View.MemoryView":384 + * if self.lock != NULL: + * for i in range(__pyx_memoryview_thread_locks_used): + * if __pyx_memoryview_thread_locks[i] is self.lock: # <<<<<<<<<<<<<< + * __pyx_memoryview_thread_locks_used -= 1 + * if i != __pyx_memoryview_thread_locks_used: + */ + __pyx_t_2 = (((__pyx_memoryview_thread_locks[__pyx_v_i]) == __pyx_v_self->lock) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":385 + * for i in range(__pyx_memoryview_thread_locks_used): + * if __pyx_memoryview_thread_locks[i] is self.lock: + * __pyx_memoryview_thread_locks_used -= 1 # <<<<<<<<<<<<<< + * if i != __pyx_memoryview_thread_locks_used: + * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( + */ + __pyx_memoryview_thread_locks_used = (__pyx_memoryview_thread_locks_used - 1); + + /* "View.MemoryView":386 + * if __pyx_memoryview_thread_locks[i] is self.lock: + * __pyx_memoryview_thread_locks_used -= 1 + * if i != __pyx_memoryview_thread_locks_used: # <<<<<<<<<<<<<< + * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( + * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) + */ + __pyx_t_2 = ((__pyx_v_i != __pyx_memoryview_thread_locks_used) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":388 + * if i != __pyx_memoryview_thread_locks_used: + * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( + * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) # <<<<<<<<<<<<<< + * break + * else: + */ + __pyx_t_6 = (__pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]); + __pyx_t_7 = (__pyx_memoryview_thread_locks[__pyx_v_i]); + + /* "View.MemoryView":387 + * __pyx_memoryview_thread_locks_used -= 1 + * if i != __pyx_memoryview_thread_locks_used: + * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( # <<<<<<<<<<<<<< + * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) + * break + */ + (__pyx_memoryview_thread_locks[__pyx_v_i]) = __pyx_t_6; + (__pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]) = __pyx_t_7; + + /* "View.MemoryView":386 + * if __pyx_memoryview_thread_locks[i] is self.lock: + * __pyx_memoryview_thread_locks_used -= 1 + * if i != __pyx_memoryview_thread_locks_used: # <<<<<<<<<<<<<< + * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( + * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) + */ + } + + /* "View.MemoryView":389 + * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( + * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) + * break # <<<<<<<<<<<<<< + * else: + * PyThread_free_lock(self.lock) + */ + goto __pyx_L6_break; + + /* "View.MemoryView":384 + * if self.lock != NULL: + * for i in range(__pyx_memoryview_thread_locks_used): + * if __pyx_memoryview_thread_locks[i] is self.lock: # <<<<<<<<<<<<<< + * __pyx_memoryview_thread_locks_used -= 1 + * if i != __pyx_memoryview_thread_locks_used: + */ + } + } + /*else*/ { + + /* "View.MemoryView":391 + * break + * else: + * PyThread_free_lock(self.lock) # <<<<<<<<<<<<<< + * + * cdef char *get_item_pointer(memoryview self, object index) except NULL: + */ + PyThread_free_lock(__pyx_v_self->lock); + } + __pyx_L6_break:; + + /* "View.MemoryView":382 + * cdef int i + * global __pyx_memoryview_thread_locks_used + * if self.lock != NULL: # <<<<<<<<<<<<<< + * for i in range(__pyx_memoryview_thread_locks_used): + * if __pyx_memoryview_thread_locks[i] is self.lock: + */ + } + + /* "View.MemoryView":372 + * self.typeinfo = NULL + * + * def __dealloc__(memoryview self): # <<<<<<<<<<<<<< + * if self.obj is not None: + * __Pyx_ReleaseBuffer(&self.view) + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "View.MemoryView":393 + * PyThread_free_lock(self.lock) + * + * cdef char *get_item_pointer(memoryview self, object index) except NULL: # <<<<<<<<<<<<<< + * cdef Py_ssize_t dim + * cdef char *itemp = self.view.buf + */ + +static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index) { + Py_ssize_t __pyx_v_dim; + char *__pyx_v_itemp; + PyObject *__pyx_v_idx = NULL; + char *__pyx_r; + __Pyx_RefNannyDeclarations + Py_ssize_t __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + Py_ssize_t __pyx_t_3; + PyObject *(*__pyx_t_4)(PyObject *); + PyObject *__pyx_t_5 = NULL; + Py_ssize_t __pyx_t_6; + char *__pyx_t_7; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("get_item_pointer", 0); + + /* "View.MemoryView":395 + * cdef char *get_item_pointer(memoryview self, object index) except NULL: + * cdef Py_ssize_t dim + * cdef char *itemp = self.view.buf # <<<<<<<<<<<<<< + * + * for dim, idx in enumerate(index): + */ + __pyx_v_itemp = ((char *)__pyx_v_self->view.buf); + + /* "View.MemoryView":397 + * cdef char *itemp = self.view.buf + * + * for dim, idx in enumerate(index): # <<<<<<<<<<<<<< + * itemp = pybuffer_index(&self.view, itemp, idx, dim) + * + */ + __pyx_t_1 = 0; + if (likely(PyList_CheckExact(__pyx_v_index)) || PyTuple_CheckExact(__pyx_v_index)) { + __pyx_t_2 = __pyx_v_index; __Pyx_INCREF(__pyx_t_2); __pyx_t_3 = 0; + __pyx_t_4 = NULL; + } else { + __pyx_t_3 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_v_index); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 397, __pyx_L1_error) + } + for (;;) { + if (likely(!__pyx_t_4)) { + if (likely(PyList_CheckExact(__pyx_t_2))) { + if (__pyx_t_3 >= PyList_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_5 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(2, 397, __pyx_L1_error) + #else + __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + #endif + } else { + if (__pyx_t_3 >= PyTuple_GET_SIZE(__pyx_t_2)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(2, 397, __pyx_L1_error) + #else + __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 397, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + #endif + } + } else { + __pyx_t_5 = __pyx_t_4(__pyx_t_2); + if (unlikely(!__pyx_t_5)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(2, 397, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_5); + } + __Pyx_XDECREF_SET(__pyx_v_idx, __pyx_t_5); + __pyx_t_5 = 0; + __pyx_v_dim = __pyx_t_1; + __pyx_t_1 = (__pyx_t_1 + 1); + + /* "View.MemoryView":398 + * + * for dim, idx in enumerate(index): + * itemp = pybuffer_index(&self.view, itemp, idx, dim) # <<<<<<<<<<<<<< + * + * return itemp + */ + __pyx_t_6 = __Pyx_PyIndex_AsSsize_t(__pyx_v_idx); if (unlikely((__pyx_t_6 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 398, __pyx_L1_error) + __pyx_t_7 = __pyx_pybuffer_index((&__pyx_v_self->view), __pyx_v_itemp, __pyx_t_6, __pyx_v_dim); if (unlikely(__pyx_t_7 == ((char *)NULL))) __PYX_ERR(2, 398, __pyx_L1_error) + __pyx_v_itemp = __pyx_t_7; + + /* "View.MemoryView":397 + * cdef char *itemp = self.view.buf + * + * for dim, idx in enumerate(index): # <<<<<<<<<<<<<< + * itemp = pybuffer_index(&self.view, itemp, idx, dim) + * + */ + } + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "View.MemoryView":400 + * itemp = pybuffer_index(&self.view, itemp, idx, dim) + * + * return itemp # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = __pyx_v_itemp; + goto __pyx_L0; + + /* "View.MemoryView":393 + * PyThread_free_lock(self.lock) + * + * cdef char *get_item_pointer(memoryview self, object index) except NULL: # <<<<<<<<<<<<<< + * cdef Py_ssize_t dim + * cdef char *itemp = self.view.buf + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.memoryview.get_item_pointer", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_idx); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":403 + * + * + * def __getitem__(memoryview self, object index): # <<<<<<<<<<<<<< + * if index is Ellipsis: + * return self + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index); /*proto*/ +static PyObject *__pyx_memoryview___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__getitem__ (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((PyObject *)__pyx_v_index)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index) { + PyObject *__pyx_v_have_slices = NULL; + PyObject *__pyx_v_indices = NULL; + char *__pyx_v_itemp; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + char *__pyx_t_6; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__getitem__", 0); + + /* "View.MemoryView":404 + * + * def __getitem__(memoryview self, object index): + * if index is Ellipsis: # <<<<<<<<<<<<<< + * return self + * + */ + __pyx_t_1 = (__pyx_v_index == __pyx_builtin_Ellipsis); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":405 + * def __getitem__(memoryview self, object index): + * if index is Ellipsis: + * return self # <<<<<<<<<<<<<< + * + * have_slices, indices = _unellipsify(index, self.view.ndim) + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(((PyObject *)__pyx_v_self)); + __pyx_r = ((PyObject *)__pyx_v_self); + goto __pyx_L0; + + /* "View.MemoryView":404 + * + * def __getitem__(memoryview self, object index): + * if index is Ellipsis: # <<<<<<<<<<<<<< + * return self + * + */ + } + + /* "View.MemoryView":407 + * return self + * + * have_slices, indices = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< + * + * cdef char *itemp + */ + __pyx_t_3 = _unellipsify(__pyx_v_index, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 407, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + if (likely(__pyx_t_3 != Py_None)) { + PyObject* sequence = __pyx_t_3; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(2, 407, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_4 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_5 = PyTuple_GET_ITEM(sequence, 1); + __Pyx_INCREF(__pyx_t_4); + __Pyx_INCREF(__pyx_t_5); + #else + __pyx_t_4 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 407, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 407, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + #endif + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } else { + __Pyx_RaiseNoneNotIterableError(); __PYX_ERR(2, 407, __pyx_L1_error) + } + __pyx_v_have_slices = __pyx_t_4; + __pyx_t_4 = 0; + __pyx_v_indices = __pyx_t_5; + __pyx_t_5 = 0; + + /* "View.MemoryView":410 + * + * cdef char *itemp + * if have_slices: # <<<<<<<<<<<<<< + * return memview_slice(self, indices) + * else: + */ + __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(2, 410, __pyx_L1_error) + if (__pyx_t_2) { + + /* "View.MemoryView":411 + * cdef char *itemp + * if have_slices: + * return memview_slice(self, indices) # <<<<<<<<<<<<<< + * else: + * itemp = self.get_item_pointer(indices) + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_3 = ((PyObject *)__pyx_memview_slice(__pyx_v_self, __pyx_v_indices)); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 411, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_r = __pyx_t_3; + __pyx_t_3 = 0; + goto __pyx_L0; + + /* "View.MemoryView":410 + * + * cdef char *itemp + * if have_slices: # <<<<<<<<<<<<<< + * return memview_slice(self, indices) + * else: + */ + } + + /* "View.MemoryView":413 + * return memview_slice(self, indices) + * else: + * itemp = self.get_item_pointer(indices) # <<<<<<<<<<<<<< + * return self.convert_item_to_object(itemp) + * + */ + /*else*/ { + __pyx_t_6 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->get_item_pointer(__pyx_v_self, __pyx_v_indices); if (unlikely(__pyx_t_6 == ((char *)NULL))) __PYX_ERR(2, 413, __pyx_L1_error) + __pyx_v_itemp = __pyx_t_6; + + /* "View.MemoryView":414 + * else: + * itemp = self.get_item_pointer(indices) + * return self.convert_item_to_object(itemp) # <<<<<<<<<<<<<< + * + * def __setitem__(memoryview self, object index, object value): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_3 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->convert_item_to_object(__pyx_v_self, __pyx_v_itemp); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 414, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_r = __pyx_t_3; + __pyx_t_3 = 0; + goto __pyx_L0; + } + + /* "View.MemoryView":403 + * + * + * def __getitem__(memoryview self, object index): # <<<<<<<<<<<<<< + * if index is Ellipsis: + * return self + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.memoryview.__getitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_have_slices); + __Pyx_XDECREF(__pyx_v_indices); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":416 + * return self.convert_item_to_object(itemp) + * + * def __setitem__(memoryview self, object index, object value): # <<<<<<<<<<<<<< + * if self.view.readonly: + * raise TypeError("Cannot assign to read-only memoryview") + */ + +/* Python wrapper */ +static int __pyx_memoryview___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /*proto*/ +static int __pyx_memoryview___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__setitem__ (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((PyObject *)__pyx_v_index), ((PyObject *)__pyx_v_value)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { + PyObject *__pyx_v_have_slices = NULL; + PyObject *__pyx_v_obj = NULL; + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__setitem__", 0); + __Pyx_INCREF(__pyx_v_index); + + /* "View.MemoryView":417 + * + * def __setitem__(memoryview self, object index, object value): + * if self.view.readonly: # <<<<<<<<<<<<<< + * raise TypeError("Cannot assign to read-only memoryview") + * + */ + __pyx_t_1 = (__pyx_v_self->view.readonly != 0); + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":418 + * def __setitem__(memoryview self, object index, object value): + * if self.view.readonly: + * raise TypeError("Cannot assign to read-only memoryview") # <<<<<<<<<<<<<< + * + * have_slices, index = _unellipsify(index, self.view.ndim) + */ + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__24, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 418, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_Raise(__pyx_t_2, 0, 0, 0); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __PYX_ERR(2, 418, __pyx_L1_error) + + /* "View.MemoryView":417 + * + * def __setitem__(memoryview self, object index, object value): + * if self.view.readonly: # <<<<<<<<<<<<<< + * raise TypeError("Cannot assign to read-only memoryview") + * + */ + } + + /* "View.MemoryView":420 + * raise TypeError("Cannot assign to read-only memoryview") + * + * have_slices, index = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< + * + * if have_slices: + */ + __pyx_t_2 = _unellipsify(__pyx_v_index, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 420, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (likely(__pyx_t_2 != Py_None)) { + PyObject* sequence = __pyx_t_2; + Py_ssize_t size = __Pyx_PySequence_SIZE(sequence); + if (unlikely(size != 2)) { + if (size > 2) __Pyx_RaiseTooManyValuesError(2); + else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); + __PYX_ERR(2, 420, __pyx_L1_error) + } + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); + __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); + __Pyx_INCREF(__pyx_t_3); + __Pyx_INCREF(__pyx_t_4); + #else + __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 420, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 420, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + #endif + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } else { + __Pyx_RaiseNoneNotIterableError(); __PYX_ERR(2, 420, __pyx_L1_error) + } + __pyx_v_have_slices = __pyx_t_3; + __pyx_t_3 = 0; + __Pyx_DECREF_SET(__pyx_v_index, __pyx_t_4); + __pyx_t_4 = 0; + + /* "View.MemoryView":422 + * have_slices, index = _unellipsify(index, self.view.ndim) + * + * if have_slices: # <<<<<<<<<<<<<< + * obj = self.is_slice(value) + * if obj: + */ + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(2, 422, __pyx_L1_error) + if (__pyx_t_1) { + + /* "View.MemoryView":423 + * + * if have_slices: + * obj = self.is_slice(value) # <<<<<<<<<<<<<< + * if obj: + * self.setitem_slice_assignment(self[index], obj) + */ + __pyx_t_2 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->is_slice(__pyx_v_self, __pyx_v_value); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 423, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_v_obj = __pyx_t_2; + __pyx_t_2 = 0; + + /* "View.MemoryView":424 + * if have_slices: + * obj = self.is_slice(value) + * if obj: # <<<<<<<<<<<<<< + * self.setitem_slice_assignment(self[index], obj) + * else: + */ + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_obj); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(2, 424, __pyx_L1_error) + if (__pyx_t_1) { + + /* "View.MemoryView":425 + * obj = self.is_slice(value) + * if obj: + * self.setitem_slice_assignment(self[index], obj) # <<<<<<<<<<<<<< + * else: + * self.setitem_slice_assign_scalar(self[index], value) + */ + __pyx_t_2 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_self), __pyx_v_index); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 425, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_slice_assignment(__pyx_v_self, __pyx_t_2, __pyx_v_obj); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 425, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + + /* "View.MemoryView":424 + * if have_slices: + * obj = self.is_slice(value) + * if obj: # <<<<<<<<<<<<<< + * self.setitem_slice_assignment(self[index], obj) + * else: + */ + goto __pyx_L5; + } + + /* "View.MemoryView":427 + * self.setitem_slice_assignment(self[index], obj) + * else: + * self.setitem_slice_assign_scalar(self[index], value) # <<<<<<<<<<<<<< + * else: + * self.setitem_indexed(index, value) + */ + /*else*/ { + __pyx_t_4 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_self), __pyx_v_index); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + if (!(likely(((__pyx_t_4) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_4, __pyx_memoryview_type))))) __PYX_ERR(2, 427, __pyx_L1_error) + __pyx_t_2 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_slice_assign_scalar(__pyx_v_self, ((struct __pyx_memoryview_obj *)__pyx_t_4), __pyx_v_value); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 427, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } + __pyx_L5:; + + /* "View.MemoryView":422 + * have_slices, index = _unellipsify(index, self.view.ndim) + * + * if have_slices: # <<<<<<<<<<<<<< + * obj = self.is_slice(value) + * if obj: + */ + goto __pyx_L4; + } + + /* "View.MemoryView":429 + * self.setitem_slice_assign_scalar(self[index], value) + * else: + * self.setitem_indexed(index, value) # <<<<<<<<<<<<<< + * + * cdef is_slice(self, obj): + */ + /*else*/ { + __pyx_t_2 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_indexed(__pyx_v_self, __pyx_v_index, __pyx_v_value); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 429, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } + __pyx_L4:; + + /* "View.MemoryView":416 + * return self.convert_item_to_object(itemp) + * + * def __setitem__(memoryview self, object index, object value): # <<<<<<<<<<<<<< + * if self.view.readonly: + * raise TypeError("Cannot assign to read-only memoryview") + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_AddTraceback("View.MemoryView.memoryview.__setitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_have_slices); + __Pyx_XDECREF(__pyx_v_obj); + __Pyx_XDECREF(__pyx_v_index); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":431 + * self.setitem_indexed(index, value) + * + * cdef is_slice(self, obj): # <<<<<<<<<<<<<< + * if not isinstance(obj, memoryview): + * try: + */ + +static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + int __pyx_t_9; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("is_slice", 0); + __Pyx_INCREF(__pyx_v_obj); + + /* "View.MemoryView":432 + * + * cdef is_slice(self, obj): + * if not isinstance(obj, memoryview): # <<<<<<<<<<<<<< + * try: + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + */ + __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_obj, __pyx_memoryview_type); + __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":433 + * cdef is_slice(self, obj): + * if not isinstance(obj, memoryview): + * try: # <<<<<<<<<<<<<< + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * self.dtype_is_object) + */ + { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ExceptionSave(&__pyx_t_3, &__pyx_t_4, &__pyx_t_5); + __Pyx_XGOTREF(__pyx_t_3); + __Pyx_XGOTREF(__pyx_t_4); + __Pyx_XGOTREF(__pyx_t_5); + /*try:*/ { + + /* "View.MemoryView":434 + * if not isinstance(obj, memoryview): + * try: + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, # <<<<<<<<<<<<<< + * self.dtype_is_object) + * except TypeError: + */ + __pyx_t_6 = __Pyx_PyInt_From_int(((__pyx_v_self->flags & (~PyBUF_WRITABLE)) | PyBUF_ANY_CONTIGUOUS)); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 434, __pyx_L4_error) + __Pyx_GOTREF(__pyx_t_6); + + /* "View.MemoryView":435 + * try: + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * self.dtype_is_object) # <<<<<<<<<<<<<< + * except TypeError: + * return None + */ + __pyx_t_7 = __Pyx_PyBool_FromLong(__pyx_v_self->dtype_is_object); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 435, __pyx_L4_error) + __Pyx_GOTREF(__pyx_t_7); + + /* "View.MemoryView":434 + * if not isinstance(obj, memoryview): + * try: + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, # <<<<<<<<<<<<<< + * self.dtype_is_object) + * except TypeError: + */ + __pyx_t_8 = PyTuple_New(3); if (unlikely(!__pyx_t_8)) __PYX_ERR(2, 434, __pyx_L4_error) + __Pyx_GOTREF(__pyx_t_8); + __Pyx_INCREF(__pyx_v_obj); + __Pyx_GIVEREF(__pyx_v_obj); + PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_v_obj); + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_8, 1, __pyx_t_6); + __Pyx_GIVEREF(__pyx_t_7); + PyTuple_SET_ITEM(__pyx_t_8, 2, __pyx_t_7); + __pyx_t_6 = 0; + __pyx_t_7 = 0; + __pyx_t_7 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryview_type), __pyx_t_8, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 434, __pyx_L4_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF_SET(__pyx_v_obj, __pyx_t_7); + __pyx_t_7 = 0; + + /* "View.MemoryView":433 + * cdef is_slice(self, obj): + * if not isinstance(obj, memoryview): + * try: # <<<<<<<<<<<<<< + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * self.dtype_is_object) + */ + } + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + goto __pyx_L9_try_end; + __pyx_L4_error:; + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + + /* "View.MemoryView":436 + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * self.dtype_is_object) + * except TypeError: # <<<<<<<<<<<<<< + * return None + * + */ + __pyx_t_9 = __Pyx_PyErr_ExceptionMatches(__pyx_builtin_TypeError); + if (__pyx_t_9) { + __Pyx_AddTraceback("View.MemoryView.memoryview.is_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); + if (__Pyx_GetException(&__pyx_t_7, &__pyx_t_8, &__pyx_t_6) < 0) __PYX_ERR(2, 436, __pyx_L6_except_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_GOTREF(__pyx_t_8); + __Pyx_GOTREF(__pyx_t_6); + + /* "View.MemoryView":437 + * self.dtype_is_object) + * except TypeError: + * return None # <<<<<<<<<<<<<< + * + * return obj + */ + __Pyx_XDECREF(__pyx_r); + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + goto __pyx_L7_except_return; + } + goto __pyx_L6_except_error; + __pyx_L6_except_error:; + + /* "View.MemoryView":433 + * cdef is_slice(self, obj): + * if not isinstance(obj, memoryview): + * try: # <<<<<<<<<<<<<< + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * self.dtype_is_object) + */ + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_XGIVEREF(__pyx_t_4); + __Pyx_XGIVEREF(__pyx_t_5); + __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); + goto __pyx_L1_error; + __pyx_L7_except_return:; + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_XGIVEREF(__pyx_t_4); + __Pyx_XGIVEREF(__pyx_t_5); + __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); + goto __pyx_L0; + __pyx_L9_try_end:; + } + + /* "View.MemoryView":432 + * + * cdef is_slice(self, obj): + * if not isinstance(obj, memoryview): # <<<<<<<<<<<<<< + * try: + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + */ + } + + /* "View.MemoryView":439 + * return None + * + * return obj # <<<<<<<<<<<<<< + * + * cdef setitem_slice_assignment(self, dst, src): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_obj); + __pyx_r = __pyx_v_obj; + goto __pyx_L0; + + /* "View.MemoryView":431 + * self.setitem_indexed(index, value) + * + * cdef is_slice(self, obj): # <<<<<<<<<<<<<< + * if not isinstance(obj, memoryview): + * try: + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("View.MemoryView.memoryview.is_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_obj); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":441 + * return obj + * + * cdef setitem_slice_assignment(self, dst, src): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice dst_slice + * cdef __Pyx_memviewslice src_slice + */ + +static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src) { + __Pyx_memviewslice __pyx_v_dst_slice; + __Pyx_memviewslice __pyx_v_src_slice; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_memviewslice *__pyx_t_1; + __Pyx_memviewslice *__pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + int __pyx_t_5; + int __pyx_t_6; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("setitem_slice_assignment", 0); + + /* "View.MemoryView":445 + * cdef __Pyx_memviewslice src_slice + * + * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], # <<<<<<<<<<<<<< + * get_slice_from_memview(dst, &dst_slice)[0], + * src.ndim, dst.ndim, self.dtype_is_object) + */ + if (!(likely(((__pyx_v_src) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_src, __pyx_memoryview_type))))) __PYX_ERR(2, 445, __pyx_L1_error) + __pyx_t_1 = __pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_src), (&__pyx_v_src_slice)); if (unlikely(__pyx_t_1 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 445, __pyx_L1_error) + + /* "View.MemoryView":446 + * + * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], + * get_slice_from_memview(dst, &dst_slice)[0], # <<<<<<<<<<<<<< + * src.ndim, dst.ndim, self.dtype_is_object) + * + */ + if (!(likely(((__pyx_v_dst) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_dst, __pyx_memoryview_type))))) __PYX_ERR(2, 446, __pyx_L1_error) + __pyx_t_2 = __pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_dst), (&__pyx_v_dst_slice)); if (unlikely(__pyx_t_2 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 446, __pyx_L1_error) + + /* "View.MemoryView":447 + * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], + * get_slice_from_memview(dst, &dst_slice)[0], + * src.ndim, dst.ndim, self.dtype_is_object) # <<<<<<<<<<<<<< + * + * cdef setitem_slice_assign_scalar(self, memoryview dst, value): + */ + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_src, __pyx_n_s_ndim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 447, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 447, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_dst, __pyx_n_s_ndim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 447, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_5 == (int)-1) && PyErr_Occurred())) __PYX_ERR(2, 447, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "View.MemoryView":445 + * cdef __Pyx_memviewslice src_slice + * + * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], # <<<<<<<<<<<<<< + * get_slice_from_memview(dst, &dst_slice)[0], + * src.ndim, dst.ndim, self.dtype_is_object) + */ + __pyx_t_6 = __pyx_memoryview_copy_contents((__pyx_t_1[0]), (__pyx_t_2[0]), __pyx_t_4, __pyx_t_5, __pyx_v_self->dtype_is_object); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 445, __pyx_L1_error) + + /* "View.MemoryView":441 + * return obj + * + * cdef setitem_slice_assignment(self, dst, src): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice dst_slice + * cdef __Pyx_memviewslice src_slice + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assignment", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":449 + * src.ndim, dst.ndim, self.dtype_is_object) + * + * cdef setitem_slice_assign_scalar(self, memoryview dst, value): # <<<<<<<<<<<<<< + * cdef int array[128] + * cdef void *tmp = NULL + */ + +static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value) { + int __pyx_v_array[0x80]; + void *__pyx_v_tmp; + void *__pyx_v_item; + __Pyx_memviewslice *__pyx_v_dst_slice; + __Pyx_memviewslice __pyx_v_tmp_slice; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_memviewslice *__pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_t_4; + int __pyx_t_5; + char const *__pyx_t_6; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + PyObject *__pyx_t_9 = NULL; + PyObject *__pyx_t_10 = NULL; + PyObject *__pyx_t_11 = NULL; + PyObject *__pyx_t_12 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("setitem_slice_assign_scalar", 0); + + /* "View.MemoryView":451 + * cdef setitem_slice_assign_scalar(self, memoryview dst, value): + * cdef int array[128] + * cdef void *tmp = NULL # <<<<<<<<<<<<<< + * cdef void *item + * + */ + __pyx_v_tmp = NULL; + + /* "View.MemoryView":456 + * cdef __Pyx_memviewslice *dst_slice + * cdef __Pyx_memviewslice tmp_slice + * dst_slice = get_slice_from_memview(dst, &tmp_slice) # <<<<<<<<<<<<<< + * + * if self.view.itemsize > sizeof(array): + */ + __pyx_t_1 = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_dst, (&__pyx_v_tmp_slice)); if (unlikely(__pyx_t_1 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 456, __pyx_L1_error) + __pyx_v_dst_slice = __pyx_t_1; + + /* "View.MemoryView":458 + * dst_slice = get_slice_from_memview(dst, &tmp_slice) + * + * if self.view.itemsize > sizeof(array): # <<<<<<<<<<<<<< + * tmp = PyMem_Malloc(self.view.itemsize) + * if tmp == NULL: + */ + __pyx_t_2 = ((((size_t)__pyx_v_self->view.itemsize) > (sizeof(__pyx_v_array))) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":459 + * + * if self.view.itemsize > sizeof(array): + * tmp = PyMem_Malloc(self.view.itemsize) # <<<<<<<<<<<<<< + * if tmp == NULL: + * raise MemoryError + */ + __pyx_v_tmp = PyMem_Malloc(__pyx_v_self->view.itemsize); + + /* "View.MemoryView":460 + * if self.view.itemsize > sizeof(array): + * tmp = PyMem_Malloc(self.view.itemsize) + * if tmp == NULL: # <<<<<<<<<<<<<< + * raise MemoryError + * item = tmp + */ + __pyx_t_2 = ((__pyx_v_tmp == NULL) != 0); + if (unlikely(__pyx_t_2)) { + + /* "View.MemoryView":461 + * tmp = PyMem_Malloc(self.view.itemsize) + * if tmp == NULL: + * raise MemoryError # <<<<<<<<<<<<<< + * item = tmp + * else: + */ + PyErr_NoMemory(); __PYX_ERR(2, 461, __pyx_L1_error) + + /* "View.MemoryView":460 + * if self.view.itemsize > sizeof(array): + * tmp = PyMem_Malloc(self.view.itemsize) + * if tmp == NULL: # <<<<<<<<<<<<<< + * raise MemoryError + * item = tmp + */ + } + + /* "View.MemoryView":462 + * if tmp == NULL: + * raise MemoryError + * item = tmp # <<<<<<<<<<<<<< + * else: + * item = array + */ + __pyx_v_item = __pyx_v_tmp; + + /* "View.MemoryView":458 + * dst_slice = get_slice_from_memview(dst, &tmp_slice) + * + * if self.view.itemsize > sizeof(array): # <<<<<<<<<<<<<< + * tmp = PyMem_Malloc(self.view.itemsize) + * if tmp == NULL: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":464 + * item = tmp + * else: + * item = array # <<<<<<<<<<<<<< + * + * try: + */ + /*else*/ { + __pyx_v_item = ((void *)__pyx_v_array); + } + __pyx_L3:; + + /* "View.MemoryView":466 + * item = array + * + * try: # <<<<<<<<<<<<<< + * if self.dtype_is_object: + * ( item)[0] = value + */ + /*try:*/ { + + /* "View.MemoryView":467 + * + * try: + * if self.dtype_is_object: # <<<<<<<<<<<<<< + * ( item)[0] = value + * else: + */ + __pyx_t_2 = (__pyx_v_self->dtype_is_object != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":468 + * try: + * if self.dtype_is_object: + * ( item)[0] = value # <<<<<<<<<<<<<< + * else: + * self.assign_item_from_object( item, value) + */ + (((PyObject **)__pyx_v_item)[0]) = ((PyObject *)__pyx_v_value); + + /* "View.MemoryView":467 + * + * try: + * if self.dtype_is_object: # <<<<<<<<<<<<<< + * ( item)[0] = value + * else: + */ + goto __pyx_L8; + } + + /* "View.MemoryView":470 + * ( item)[0] = value + * else: + * self.assign_item_from_object( item, value) # <<<<<<<<<<<<<< + * + * + */ + /*else*/ { + __pyx_t_3 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->assign_item_from_object(__pyx_v_self, ((char *)__pyx_v_item), __pyx_v_value); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 470, __pyx_L6_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } + __pyx_L8:; + + /* "View.MemoryView":474 + * + * + * if self.view.suboffsets != NULL: # <<<<<<<<<<<<<< + * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) + * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, + */ + __pyx_t_2 = ((__pyx_v_self->view.suboffsets != NULL) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":475 + * + * if self.view.suboffsets != NULL: + * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) # <<<<<<<<<<<<<< + * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, + * item, self.dtype_is_object) + */ + __pyx_t_3 = assert_direct_dimensions(__pyx_v_self->view.suboffsets, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 475, __pyx_L6_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "View.MemoryView":474 + * + * + * if self.view.suboffsets != NULL: # <<<<<<<<<<<<<< + * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) + * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, + */ + } + + /* "View.MemoryView":476 + * if self.view.suboffsets != NULL: + * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) + * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, # <<<<<<<<<<<<<< + * item, self.dtype_is_object) + * finally: + */ + __pyx_memoryview_slice_assign_scalar(__pyx_v_dst_slice, __pyx_v_dst->view.ndim, __pyx_v_self->view.itemsize, __pyx_v_item, __pyx_v_self->dtype_is_object); + } + + /* "View.MemoryView":479 + * item, self.dtype_is_object) + * finally: + * PyMem_Free(tmp) # <<<<<<<<<<<<<< + * + * cdef setitem_indexed(self, index, value): + */ + /*finally:*/ { + /*normal exit:*/{ + PyMem_Free(__pyx_v_tmp); + goto __pyx_L7; + } + __pyx_L6_error:; + /*exception exit:*/{ + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __pyx_t_7 = 0; __pyx_t_8 = 0; __pyx_t_9 = 0; __pyx_t_10 = 0; __pyx_t_11 = 0; __pyx_t_12 = 0; + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + if (PY_MAJOR_VERSION >= 3) __Pyx_ExceptionSwap(&__pyx_t_10, &__pyx_t_11, &__pyx_t_12); + if ((PY_MAJOR_VERSION < 3) || unlikely(__Pyx_GetException(&__pyx_t_7, &__pyx_t_8, &__pyx_t_9) < 0)) __Pyx_ErrFetch(&__pyx_t_7, &__pyx_t_8, &__pyx_t_9); + __Pyx_XGOTREF(__pyx_t_7); + __Pyx_XGOTREF(__pyx_t_8); + __Pyx_XGOTREF(__pyx_t_9); + __Pyx_XGOTREF(__pyx_t_10); + __Pyx_XGOTREF(__pyx_t_11); + __Pyx_XGOTREF(__pyx_t_12); + __pyx_t_4 = __pyx_lineno; __pyx_t_5 = __pyx_clineno; __pyx_t_6 = __pyx_filename; + { + PyMem_Free(__pyx_v_tmp); + } + if (PY_MAJOR_VERSION >= 3) { + __Pyx_XGIVEREF(__pyx_t_10); + __Pyx_XGIVEREF(__pyx_t_11); + __Pyx_XGIVEREF(__pyx_t_12); + __Pyx_ExceptionReset(__pyx_t_10, __pyx_t_11, __pyx_t_12); + } + __Pyx_XGIVEREF(__pyx_t_7); + __Pyx_XGIVEREF(__pyx_t_8); + __Pyx_XGIVEREF(__pyx_t_9); + __Pyx_ErrRestore(__pyx_t_7, __pyx_t_8, __pyx_t_9); + __pyx_t_7 = 0; __pyx_t_8 = 0; __pyx_t_9 = 0; __pyx_t_10 = 0; __pyx_t_11 = 0; __pyx_t_12 = 0; + __pyx_lineno = __pyx_t_4; __pyx_clineno = __pyx_t_5; __pyx_filename = __pyx_t_6; + goto __pyx_L1_error; + } + __pyx_L7:; + } + + /* "View.MemoryView":449 + * src.ndim, dst.ndim, self.dtype_is_object) + * + * cdef setitem_slice_assign_scalar(self, memoryview dst, value): # <<<<<<<<<<<<<< + * cdef int array[128] + * cdef void *tmp = NULL + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assign_scalar", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":481 + * PyMem_Free(tmp) + * + * cdef setitem_indexed(self, index, value): # <<<<<<<<<<<<<< + * cdef char *itemp = self.get_item_pointer(index) + * self.assign_item_from_object(itemp, value) + */ + +static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { + char *__pyx_v_itemp; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + char *__pyx_t_1; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("setitem_indexed", 0); + + /* "View.MemoryView":482 + * + * cdef setitem_indexed(self, index, value): + * cdef char *itemp = self.get_item_pointer(index) # <<<<<<<<<<<<<< + * self.assign_item_from_object(itemp, value) + * + */ + __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->get_item_pointer(__pyx_v_self, __pyx_v_index); if (unlikely(__pyx_t_1 == ((char *)NULL))) __PYX_ERR(2, 482, __pyx_L1_error) + __pyx_v_itemp = __pyx_t_1; + + /* "View.MemoryView":483 + * cdef setitem_indexed(self, index, value): + * cdef char *itemp = self.get_item_pointer(index) + * self.assign_item_from_object(itemp, value) # <<<<<<<<<<<<<< + * + * cdef convert_item_to_object(self, char *itemp): + */ + __pyx_t_2 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->assign_item_from_object(__pyx_v_self, __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 483, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "View.MemoryView":481 + * PyMem_Free(tmp) + * + * cdef setitem_indexed(self, index, value): # <<<<<<<<<<<<<< + * cdef char *itemp = self.get_item_pointer(index) + * self.assign_item_from_object(itemp, value) + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_indexed", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":485 + * self.assign_item_from_object(itemp, value) + * + * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< + * """Only used if instantiated manually by the user, or if Cython doesn't + * know how to convert the type""" + */ + +static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp) { + PyObject *__pyx_v_struct = NULL; + PyObject *__pyx_v_bytesitem = 0; + PyObject *__pyx_v_result = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + int __pyx_t_8; + PyObject *__pyx_t_9 = NULL; + size_t __pyx_t_10; + int __pyx_t_11; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("convert_item_to_object", 0); + + /* "View.MemoryView":488 + * """Only used if instantiated manually by the user, or if Cython doesn't + * know how to convert the type""" + * import struct # <<<<<<<<<<<<<< + * cdef bytes bytesitem + * + */ + __pyx_t_1 = __Pyx_Import(__pyx_n_s_struct, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 488, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_struct = __pyx_t_1; + __pyx_t_1 = 0; + + /* "View.MemoryView":491 + * cdef bytes bytesitem + * + * bytesitem = itemp[:self.view.itemsize] # <<<<<<<<<<<<<< + * try: + * result = struct.unpack(self.view.format, bytesitem) + */ + __pyx_t_1 = __Pyx_PyBytes_FromStringAndSize(__pyx_v_itemp + 0, __pyx_v_self->view.itemsize - 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 491, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_bytesitem = ((PyObject*)__pyx_t_1); + __pyx_t_1 = 0; + + /* "View.MemoryView":492 + * + * bytesitem = itemp[:self.view.itemsize] + * try: # <<<<<<<<<<<<<< + * result = struct.unpack(self.view.format, bytesitem) + * except struct.error: + */ + { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ExceptionSave(&__pyx_t_2, &__pyx_t_3, &__pyx_t_4); + __Pyx_XGOTREF(__pyx_t_2); + __Pyx_XGOTREF(__pyx_t_3); + __Pyx_XGOTREF(__pyx_t_4); + /*try:*/ { + + /* "View.MemoryView":493 + * bytesitem = itemp[:self.view.itemsize] + * try: + * result = struct.unpack(self.view.format, bytesitem) # <<<<<<<<<<<<<< + * except struct.error: + * raise ValueError("Unable to convert item to object") + */ + __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s_unpack); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 493, __pyx_L3_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_6 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 493, __pyx_L3_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = NULL; + __pyx_t_8 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) { + __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_5); + if (likely(__pyx_t_7)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5); + __Pyx_INCREF(__pyx_t_7); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_5, function); + __pyx_t_8 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_5)) { + PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_t_6, __pyx_v_bytesitem}; + __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 493, __pyx_L3_error) + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) { + PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_t_6, __pyx_v_bytesitem}; + __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 493, __pyx_L3_error) + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } else + #endif + { + __pyx_t_9 = PyTuple_New(2+__pyx_t_8); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 493, __pyx_L3_error) + __Pyx_GOTREF(__pyx_t_9); + if (__pyx_t_7) { + __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_7); __pyx_t_7 = NULL; + } + __Pyx_GIVEREF(__pyx_t_6); + PyTuple_SET_ITEM(__pyx_t_9, 0+__pyx_t_8, __pyx_t_6); + __Pyx_INCREF(__pyx_v_bytesitem); + __Pyx_GIVEREF(__pyx_v_bytesitem); + PyTuple_SET_ITEM(__pyx_t_9, 1+__pyx_t_8, __pyx_v_bytesitem); + __pyx_t_6 = 0; + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_9, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 493, __pyx_L3_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __pyx_v_result = __pyx_t_1; + __pyx_t_1 = 0; + + /* "View.MemoryView":492 + * + * bytesitem = itemp[:self.view.itemsize] + * try: # <<<<<<<<<<<<<< + * result = struct.unpack(self.view.format, bytesitem) + * except struct.error: + */ + } + + /* "View.MemoryView":497 + * raise ValueError("Unable to convert item to object") + * else: + * if len(self.view.format) == 1: # <<<<<<<<<<<<<< + * return result[0] + * return result + */ + /*else:*/ { + __pyx_t_10 = strlen(__pyx_v_self->view.format); + __pyx_t_11 = ((__pyx_t_10 == 1) != 0); + if (__pyx_t_11) { + + /* "View.MemoryView":498 + * else: + * if len(self.view.format) == 1: + * return result[0] # <<<<<<<<<<<<<< + * return result + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_GetItemInt(__pyx_v_result, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 498, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L6_except_return; + + /* "View.MemoryView":497 + * raise ValueError("Unable to convert item to object") + * else: + * if len(self.view.format) == 1: # <<<<<<<<<<<<<< + * return result[0] + * return result + */ + } + + /* "View.MemoryView":499 + * if len(self.view.format) == 1: + * return result[0] + * return result # <<<<<<<<<<<<<< + * + * cdef assign_item_from_object(self, char *itemp, object value): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_result); + __pyx_r = __pyx_v_result; + goto __pyx_L6_except_return; + } + __pyx_L3_error:; + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0; + + /* "View.MemoryView":494 + * try: + * result = struct.unpack(self.view.format, bytesitem) + * except struct.error: # <<<<<<<<<<<<<< + * raise ValueError("Unable to convert item to object") + * else: + */ + __Pyx_ErrFetch(&__pyx_t_1, &__pyx_t_5, &__pyx_t_9); + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s_error); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 494, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_8 = __Pyx_PyErr_GivenExceptionMatches(__pyx_t_1, __pyx_t_6); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_ErrRestore(__pyx_t_1, __pyx_t_5, __pyx_t_9); + __pyx_t_1 = 0; __pyx_t_5 = 0; __pyx_t_9 = 0; + if (__pyx_t_8) { + __Pyx_AddTraceback("View.MemoryView.memoryview.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); + if (__Pyx_GetException(&__pyx_t_9, &__pyx_t_5, &__pyx_t_1) < 0) __PYX_ERR(2, 494, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_9); + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GOTREF(__pyx_t_1); + + /* "View.MemoryView":495 + * result = struct.unpack(self.view.format, bytesitem) + * except struct.error: + * raise ValueError("Unable to convert item to object") # <<<<<<<<<<<<<< + * else: + * if len(self.view.format) == 1: + */ + __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__25, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 495, __pyx_L5_except_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_Raise(__pyx_t_6, 0, 0, 0); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __PYX_ERR(2, 495, __pyx_L5_except_error) + } + goto __pyx_L5_except_error; + __pyx_L5_except_error:; + + /* "View.MemoryView":492 + * + * bytesitem = itemp[:self.view.itemsize] + * try: # <<<<<<<<<<<<<< + * result = struct.unpack(self.view.format, bytesitem) + * except struct.error: + */ + __Pyx_XGIVEREF(__pyx_t_2); + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_XGIVEREF(__pyx_t_4); + __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); + goto __pyx_L1_error; + __pyx_L6_except_return:; + __Pyx_XGIVEREF(__pyx_t_2); + __Pyx_XGIVEREF(__pyx_t_3); + __Pyx_XGIVEREF(__pyx_t_4); + __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); + goto __pyx_L0; + } + + /* "View.MemoryView":485 + * self.assign_item_from_object(itemp, value) + * + * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< + * """Only used if instantiated manually by the user, or if Cython doesn't + * know how to convert the type""" + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_9); + __Pyx_AddTraceback("View.MemoryView.memoryview.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_struct); + __Pyx_XDECREF(__pyx_v_bytesitem); + __Pyx_XDECREF(__pyx_v_result); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":501 + * return result + * + * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< + * """Only used if instantiated manually by the user, or if Cython doesn't + * know how to convert the type""" + */ + +static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value) { + PyObject *__pyx_v_struct = NULL; + char __pyx_v_c; + PyObject *__pyx_v_bytesvalue = 0; + Py_ssize_t __pyx_v_i; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + int __pyx_t_3; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + int __pyx_t_7; + PyObject *__pyx_t_8 = NULL; + Py_ssize_t __pyx_t_9; + PyObject *__pyx_t_10 = NULL; + char *__pyx_t_11; + char *__pyx_t_12; + char *__pyx_t_13; + char *__pyx_t_14; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("assign_item_from_object", 0); + + /* "View.MemoryView":504 + * """Only used if instantiated manually by the user, or if Cython doesn't + * know how to convert the type""" + * import struct # <<<<<<<<<<<<<< + * cdef char c + * cdef bytes bytesvalue + */ + __pyx_t_1 = __Pyx_Import(__pyx_n_s_struct, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 504, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_struct = __pyx_t_1; + __pyx_t_1 = 0; + + /* "View.MemoryView":509 + * cdef Py_ssize_t i + * + * if isinstance(value, tuple): # <<<<<<<<<<<<<< + * bytesvalue = struct.pack(self.view.format, *value) + * else: + */ + __pyx_t_2 = PyTuple_Check(__pyx_v_value); + __pyx_t_3 = (__pyx_t_2 != 0); + if (__pyx_t_3) { + + /* "View.MemoryView":510 + * + * if isinstance(value, tuple): + * bytesvalue = struct.pack(self.view.format, *value) # <<<<<<<<<<<<<< + * else: + * bytesvalue = struct.pack(self.view.format, value) + */ + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s_pack); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 510, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_4 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 510, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 510, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_4); + __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PySequence_Tuple(__pyx_v_value); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 510, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_6 = PyNumber_Add(__pyx_t_5, __pyx_t_4); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 510, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_6, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 510, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (!(likely(PyBytes_CheckExact(__pyx_t_4))||((__pyx_t_4) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "bytes", Py_TYPE(__pyx_t_4)->tp_name), 0))) __PYX_ERR(2, 510, __pyx_L1_error) + __pyx_v_bytesvalue = ((PyObject*)__pyx_t_4); + __pyx_t_4 = 0; + + /* "View.MemoryView":509 + * cdef Py_ssize_t i + * + * if isinstance(value, tuple): # <<<<<<<<<<<<<< + * bytesvalue = struct.pack(self.view.format, *value) + * else: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":512 + * bytesvalue = struct.pack(self.view.format, *value) + * else: + * bytesvalue = struct.pack(self.view.format, value) # <<<<<<<<<<<<<< + * + * for i, c in enumerate(bytesvalue): + */ + /*else*/ { + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s_pack); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_1 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_5 = NULL; + __pyx_t_7 = 0; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_6); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_6, function); + __pyx_t_7 = 1; + } + } + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(__pyx_t_6)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_1, __pyx_v_value}; + __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 512, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) { + PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_1, __pyx_v_value}; + __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 512, __pyx_L1_error) + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + } else + #endif + { + __pyx_t_8 = PyTuple_New(2+__pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(2, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_8); + if (__pyx_t_5) { + __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_5); __pyx_t_5 = NULL; + } + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_7, __pyx_t_1); + __Pyx_INCREF(__pyx_v_value); + __Pyx_GIVEREF(__pyx_v_value); + PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_7, __pyx_v_value); + __pyx_t_1 = 0; + __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_8, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 512, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; + } + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (!(likely(PyBytes_CheckExact(__pyx_t_4))||((__pyx_t_4) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "bytes", Py_TYPE(__pyx_t_4)->tp_name), 0))) __PYX_ERR(2, 512, __pyx_L1_error) + __pyx_v_bytesvalue = ((PyObject*)__pyx_t_4); + __pyx_t_4 = 0; + } + __pyx_L3:; + + /* "View.MemoryView":514 + * bytesvalue = struct.pack(self.view.format, value) + * + * for i, c in enumerate(bytesvalue): # <<<<<<<<<<<<<< + * itemp[i] = c + * + */ + __pyx_t_9 = 0; + if (unlikely(__pyx_v_bytesvalue == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' is not iterable"); + __PYX_ERR(2, 514, __pyx_L1_error) + } + __Pyx_INCREF(__pyx_v_bytesvalue); + __pyx_t_10 = __pyx_v_bytesvalue; + __pyx_t_12 = PyBytes_AS_STRING(__pyx_t_10); + __pyx_t_13 = (__pyx_t_12 + PyBytes_GET_SIZE(__pyx_t_10)); + for (__pyx_t_14 = __pyx_t_12; __pyx_t_14 < __pyx_t_13; __pyx_t_14++) { + __pyx_t_11 = __pyx_t_14; + __pyx_v_c = (__pyx_t_11[0]); + + /* "View.MemoryView":515 + * + * for i, c in enumerate(bytesvalue): + * itemp[i] = c # <<<<<<<<<<<<<< + * + * @cname('getbuffer') + */ + __pyx_v_i = __pyx_t_9; + + /* "View.MemoryView":514 + * bytesvalue = struct.pack(self.view.format, value) + * + * for i, c in enumerate(bytesvalue): # <<<<<<<<<<<<<< + * itemp[i] = c + * + */ + __pyx_t_9 = (__pyx_t_9 + 1); + + /* "View.MemoryView":515 + * + * for i, c in enumerate(bytesvalue): + * itemp[i] = c # <<<<<<<<<<<<<< + * + * @cname('getbuffer') + */ + (__pyx_v_itemp[__pyx_v_i]) = __pyx_v_c; + } + __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; + + /* "View.MemoryView":501 + * return result + * + * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< + * """Only used if instantiated manually by the user, or if Cython doesn't + * know how to convert the type""" + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_10); + __Pyx_AddTraceback("View.MemoryView.memoryview.assign_item_from_object", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_struct); + __Pyx_XDECREF(__pyx_v_bytesvalue); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":518 + * + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< + * if flags & PyBUF_WRITABLE and self.view.readonly: + * raise ValueError("Cannot create writable memory view from read-only memoryview") + */ + +/* Python wrapper */ +static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ +static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { + int __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + Py_ssize_t *__pyx_t_4; + char *__pyx_t_5; + void *__pyx_t_6; + int __pyx_t_7; + Py_ssize_t __pyx_t_8; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + if (__pyx_v_info == NULL) { + PyErr_SetString(PyExc_BufferError, "PyObject_GetBuffer: view==NULL argument is obsolete"); + return -1; + } + __Pyx_RefNannySetupContext("__getbuffer__", 0); + __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(__pyx_v_info->obj); + + /* "View.MemoryView":519 + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): + * if flags & PyBUF_WRITABLE and self.view.readonly: # <<<<<<<<<<<<<< + * raise ValueError("Cannot create writable memory view from read-only memoryview") + * + */ + __pyx_t_2 = ((__pyx_v_flags & PyBUF_WRITABLE) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L4_bool_binop_done; + } + __pyx_t_2 = (__pyx_v_self->view.readonly != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L4_bool_binop_done:; + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":520 + * def __getbuffer__(self, Py_buffer *info, int flags): + * if flags & PyBUF_WRITABLE and self.view.readonly: + * raise ValueError("Cannot create writable memory view from read-only memoryview") # <<<<<<<<<<<<<< + * + * if flags & PyBUF_ND: + */ + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__26, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 520, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 520, __pyx_L1_error) + + /* "View.MemoryView":519 + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): + * if flags & PyBUF_WRITABLE and self.view.readonly: # <<<<<<<<<<<<<< + * raise ValueError("Cannot create writable memory view from read-only memoryview") + * + */ + } + + /* "View.MemoryView":522 + * raise ValueError("Cannot create writable memory view from read-only memoryview") + * + * if flags & PyBUF_ND: # <<<<<<<<<<<<<< + * info.shape = self.view.shape + * else: + */ + __pyx_t_1 = ((__pyx_v_flags & PyBUF_ND) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":523 + * + * if flags & PyBUF_ND: + * info.shape = self.view.shape # <<<<<<<<<<<<<< + * else: + * info.shape = NULL + */ + __pyx_t_4 = __pyx_v_self->view.shape; + __pyx_v_info->shape = __pyx_t_4; + + /* "View.MemoryView":522 + * raise ValueError("Cannot create writable memory view from read-only memoryview") + * + * if flags & PyBUF_ND: # <<<<<<<<<<<<<< + * info.shape = self.view.shape + * else: + */ + goto __pyx_L6; + } + + /* "View.MemoryView":525 + * info.shape = self.view.shape + * else: + * info.shape = NULL # <<<<<<<<<<<<<< + * + * if flags & PyBUF_STRIDES: + */ + /*else*/ { + __pyx_v_info->shape = NULL; + } + __pyx_L6:; + + /* "View.MemoryView":527 + * info.shape = NULL + * + * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< + * info.strides = self.view.strides + * else: + */ + __pyx_t_1 = ((__pyx_v_flags & PyBUF_STRIDES) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":528 + * + * if flags & PyBUF_STRIDES: + * info.strides = self.view.strides # <<<<<<<<<<<<<< + * else: + * info.strides = NULL + */ + __pyx_t_4 = __pyx_v_self->view.strides; + __pyx_v_info->strides = __pyx_t_4; + + /* "View.MemoryView":527 + * info.shape = NULL + * + * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< + * info.strides = self.view.strides + * else: + */ + goto __pyx_L7; + } + + /* "View.MemoryView":530 + * info.strides = self.view.strides + * else: + * info.strides = NULL # <<<<<<<<<<<<<< + * + * if flags & PyBUF_INDIRECT: + */ + /*else*/ { + __pyx_v_info->strides = NULL; + } + __pyx_L7:; + + /* "View.MemoryView":532 + * info.strides = NULL + * + * if flags & PyBUF_INDIRECT: # <<<<<<<<<<<<<< + * info.suboffsets = self.view.suboffsets + * else: + */ + __pyx_t_1 = ((__pyx_v_flags & PyBUF_INDIRECT) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":533 + * + * if flags & PyBUF_INDIRECT: + * info.suboffsets = self.view.suboffsets # <<<<<<<<<<<<<< + * else: + * info.suboffsets = NULL + */ + __pyx_t_4 = __pyx_v_self->view.suboffsets; + __pyx_v_info->suboffsets = __pyx_t_4; + + /* "View.MemoryView":532 + * info.strides = NULL + * + * if flags & PyBUF_INDIRECT: # <<<<<<<<<<<<<< + * info.suboffsets = self.view.suboffsets + * else: + */ + goto __pyx_L8; + } + + /* "View.MemoryView":535 + * info.suboffsets = self.view.suboffsets + * else: + * info.suboffsets = NULL # <<<<<<<<<<<<<< + * + * if flags & PyBUF_FORMAT: + */ + /*else*/ { + __pyx_v_info->suboffsets = NULL; + } + __pyx_L8:; + + /* "View.MemoryView":537 + * info.suboffsets = NULL + * + * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< + * info.format = self.view.format + * else: + */ + __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":538 + * + * if flags & PyBUF_FORMAT: + * info.format = self.view.format # <<<<<<<<<<<<<< + * else: + * info.format = NULL + */ + __pyx_t_5 = __pyx_v_self->view.format; + __pyx_v_info->format = __pyx_t_5; + + /* "View.MemoryView":537 + * info.suboffsets = NULL + * + * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< + * info.format = self.view.format + * else: + */ + goto __pyx_L9; + } + + /* "View.MemoryView":540 + * info.format = self.view.format + * else: + * info.format = NULL # <<<<<<<<<<<<<< + * + * info.buf = self.view.buf + */ + /*else*/ { + __pyx_v_info->format = NULL; + } + __pyx_L9:; + + /* "View.MemoryView":542 + * info.format = NULL + * + * info.buf = self.view.buf # <<<<<<<<<<<<<< + * info.ndim = self.view.ndim + * info.itemsize = self.view.itemsize + */ + __pyx_t_6 = __pyx_v_self->view.buf; + __pyx_v_info->buf = __pyx_t_6; + + /* "View.MemoryView":543 + * + * info.buf = self.view.buf + * info.ndim = self.view.ndim # <<<<<<<<<<<<<< + * info.itemsize = self.view.itemsize + * info.len = self.view.len + */ + __pyx_t_7 = __pyx_v_self->view.ndim; + __pyx_v_info->ndim = __pyx_t_7; + + /* "View.MemoryView":544 + * info.buf = self.view.buf + * info.ndim = self.view.ndim + * info.itemsize = self.view.itemsize # <<<<<<<<<<<<<< + * info.len = self.view.len + * info.readonly = self.view.readonly + */ + __pyx_t_8 = __pyx_v_self->view.itemsize; + __pyx_v_info->itemsize = __pyx_t_8; + + /* "View.MemoryView":545 + * info.ndim = self.view.ndim + * info.itemsize = self.view.itemsize + * info.len = self.view.len # <<<<<<<<<<<<<< + * info.readonly = self.view.readonly + * info.obj = self + */ + __pyx_t_8 = __pyx_v_self->view.len; + __pyx_v_info->len = __pyx_t_8; + + /* "View.MemoryView":546 + * info.itemsize = self.view.itemsize + * info.len = self.view.len + * info.readonly = self.view.readonly # <<<<<<<<<<<<<< + * info.obj = self + * + */ + __pyx_t_1 = __pyx_v_self->view.readonly; + __pyx_v_info->readonly = __pyx_t_1; + + /* "View.MemoryView":547 + * info.len = self.view.len + * info.readonly = self.view.readonly + * info.obj = self # <<<<<<<<<<<<<< + * + * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") + */ + __Pyx_INCREF(((PyObject *)__pyx_v_self)); + __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); + __pyx_v_info->obj = ((PyObject *)__pyx_v_self); + + /* "View.MemoryView":518 + * + * @cname('getbuffer') + * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< + * if flags & PyBUF_WRITABLE and self.view.readonly: + * raise ValueError("Cannot create writable memory view from read-only memoryview") + */ + + /* function exit code */ + __pyx_r = 0; + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + if (__pyx_v_info->obj != NULL) { + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0; + } + goto __pyx_L2; + __pyx_L0:; + if (__pyx_v_info->obj == Py_None) { + __Pyx_GOTREF(__pyx_v_info->obj); + __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0; + } + __pyx_L2:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":553 + * + * @property + * def T(self): # <<<<<<<<<<<<<< + * cdef _memoryviewslice result = memoryview_copy(self) + * transpose_memslice(&result.from_slice) + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + struct __pyx_memoryviewslice_obj *__pyx_v_result = 0; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":554 + * @property + * def T(self): + * cdef _memoryviewslice result = memoryview_copy(self) # <<<<<<<<<<<<<< + * transpose_memslice(&result.from_slice) + * return result + */ + __pyx_t_1 = __pyx_memoryview_copy_object(__pyx_v_self); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 554, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_memoryviewslice_type))))) __PYX_ERR(2, 554, __pyx_L1_error) + __pyx_v_result = ((struct __pyx_memoryviewslice_obj *)__pyx_t_1); + __pyx_t_1 = 0; + + /* "View.MemoryView":555 + * def T(self): + * cdef _memoryviewslice result = memoryview_copy(self) + * transpose_memslice(&result.from_slice) # <<<<<<<<<<<<<< + * return result + * + */ + __pyx_t_2 = __pyx_memslice_transpose((&__pyx_v_result->from_slice)); if (unlikely(__pyx_t_2 == ((int)0))) __PYX_ERR(2, 555, __pyx_L1_error) + + /* "View.MemoryView":556 + * cdef _memoryviewslice result = memoryview_copy(self) + * transpose_memslice(&result.from_slice) + * return result # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(((PyObject *)__pyx_v_result)); + __pyx_r = ((PyObject *)__pyx_v_result); + goto __pyx_L0; + + /* "View.MemoryView":553 + * + * @property + * def T(self): # <<<<<<<<<<<<<< + * cdef _memoryviewslice result = memoryview_copy(self) + * transpose_memslice(&result.from_slice) + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.memoryview.T.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_result); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":559 + * + * @property + * def base(self): # <<<<<<<<<<<<<< + * return self.obj + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":560 + * @property + * def base(self): + * return self.obj # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_self->obj); + __pyx_r = __pyx_v_self->obj; + goto __pyx_L0; + + /* "View.MemoryView":559 + * + * @property + * def base(self): # <<<<<<<<<<<<<< + * return self.obj + * + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":563 + * + * @property + * def shape(self): # <<<<<<<<<<<<<< + * return tuple([length for length in self.view.shape[:self.view.ndim]]) + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + Py_ssize_t __pyx_v_length; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + Py_ssize_t *__pyx_t_2; + Py_ssize_t *__pyx_t_3; + Py_ssize_t *__pyx_t_4; + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":564 + * @property + * def shape(self): + * return tuple([length for length in self.view.shape[:self.view.ndim]]) # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 564, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = (__pyx_v_self->view.shape + __pyx_v_self->view.ndim); + for (__pyx_t_4 = __pyx_v_self->view.shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) { + __pyx_t_2 = __pyx_t_4; + __pyx_v_length = (__pyx_t_2[0]); + __pyx_t_5 = PyInt_FromSsize_t(__pyx_v_length); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 564, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_5))) __PYX_ERR(2, 564, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + } + __pyx_t_5 = PyList_AsTuple(((PyObject*)__pyx_t_1)); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 564, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_r = __pyx_t_5; + __pyx_t_5 = 0; + goto __pyx_L0; + + /* "View.MemoryView":563 + * + * @property + * def shape(self): # <<<<<<<<<<<<<< + * return tuple([length for length in self.view.shape[:self.view.ndim]]) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.memoryview.shape.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":567 + * + * @property + * def strides(self): # <<<<<<<<<<<<<< + * if self.view.strides == NULL: + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + Py_ssize_t __pyx_v_stride; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + Py_ssize_t *__pyx_t_3; + Py_ssize_t *__pyx_t_4; + Py_ssize_t *__pyx_t_5; + PyObject *__pyx_t_6 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":568 + * @property + * def strides(self): + * if self.view.strides == NULL: # <<<<<<<<<<<<<< + * + * raise ValueError("Buffer view does not expose strides") + */ + __pyx_t_1 = ((__pyx_v_self->view.strides == NULL) != 0); + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":570 + * if self.view.strides == NULL: + * + * raise ValueError("Buffer view does not expose strides") # <<<<<<<<<<<<<< + * + * return tuple([stride for stride in self.view.strides[:self.view.ndim]]) + */ + __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__27, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 570, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_Raise(__pyx_t_2, 0, 0, 0); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __PYX_ERR(2, 570, __pyx_L1_error) + + /* "View.MemoryView":568 + * @property + * def strides(self): + * if self.view.strides == NULL: # <<<<<<<<<<<<<< + * + * raise ValueError("Buffer view does not expose strides") + */ + } + + /* "View.MemoryView":572 + * raise ValueError("Buffer view does not expose strides") + * + * return tuple([stride for stride in self.view.strides[:self.view.ndim]]) # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 572, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = (__pyx_v_self->view.strides + __pyx_v_self->view.ndim); + for (__pyx_t_5 = __pyx_v_self->view.strides; __pyx_t_5 < __pyx_t_4; __pyx_t_5++) { + __pyx_t_3 = __pyx_t_5; + __pyx_v_stride = (__pyx_t_3[0]); + __pyx_t_6 = PyInt_FromSsize_t(__pyx_v_stride); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 572, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + if (unlikely(__Pyx_ListComp_Append(__pyx_t_2, (PyObject*)__pyx_t_6))) __PYX_ERR(2, 572, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + } + __pyx_t_6 = PyList_AsTuple(((PyObject*)__pyx_t_2)); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 572, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_r = __pyx_t_6; + __pyx_t_6 = 0; + goto __pyx_L0; + + /* "View.MemoryView":567 + * + * @property + * def strides(self): # <<<<<<<<<<<<<< + * if self.view.strides == NULL: + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_AddTraceback("View.MemoryView.memoryview.strides.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":575 + * + * @property + * def suboffsets(self): # <<<<<<<<<<<<<< + * if self.view.suboffsets == NULL: + * return (-1,) * self.view.ndim + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + Py_ssize_t __pyx_v_suboffset; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + Py_ssize_t *__pyx_t_4; + Py_ssize_t *__pyx_t_5; + Py_ssize_t *__pyx_t_6; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":576 + * @property + * def suboffsets(self): + * if self.view.suboffsets == NULL: # <<<<<<<<<<<<<< + * return (-1,) * self.view.ndim + * + */ + __pyx_t_1 = ((__pyx_v_self->view.suboffsets == NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":577 + * def suboffsets(self): + * if self.view.suboffsets == NULL: + * return (-1,) * self.view.ndim # <<<<<<<<<<<<<< + * + * return tuple([suboffset for suboffset in self.view.suboffsets[:self.view.ndim]]) + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __Pyx_PyInt_From_int(__pyx_v_self->view.ndim); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 577, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyNumber_Multiply(__pyx_tuple__28, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 577, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_r = __pyx_t_3; + __pyx_t_3 = 0; + goto __pyx_L0; + + /* "View.MemoryView":576 + * @property + * def suboffsets(self): + * if self.view.suboffsets == NULL: # <<<<<<<<<<<<<< + * return (-1,) * self.view.ndim + * + */ + } + + /* "View.MemoryView":579 + * return (-1,) * self.view.ndim + * + * return tuple([suboffset for suboffset in self.view.suboffsets[:self.view.ndim]]) # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 579, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_5 = (__pyx_v_self->view.suboffsets + __pyx_v_self->view.ndim); + for (__pyx_t_6 = __pyx_v_self->view.suboffsets; __pyx_t_6 < __pyx_t_5; __pyx_t_6++) { + __pyx_t_4 = __pyx_t_6; + __pyx_v_suboffset = (__pyx_t_4[0]); + __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_suboffset); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 579, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (unlikely(__Pyx_ListComp_Append(__pyx_t_3, (PyObject*)__pyx_t_2))) __PYX_ERR(2, 579, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + } + __pyx_t_2 = PyList_AsTuple(((PyObject*)__pyx_t_3)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 579, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":575 + * + * @property + * def suboffsets(self): # <<<<<<<<<<<<<< + * if self.view.suboffsets == NULL: + * return (-1,) * self.view.ndim + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview.suboffsets.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":582 + * + * @property + * def ndim(self): # <<<<<<<<<<<<<< + * return self.view.ndim + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":583 + * @property + * def ndim(self): + * return self.view.ndim # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_self->view.ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 583, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "View.MemoryView":582 + * + * @property + * def ndim(self): # <<<<<<<<<<<<<< + * return self.view.ndim + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.memoryview.ndim.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":586 + * + * @property + * def itemsize(self): # <<<<<<<<<<<<<< + * return self.view.itemsize + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":587 + * @property + * def itemsize(self): + * return self.view.itemsize # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = PyInt_FromSsize_t(__pyx_v_self->view.itemsize); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 587, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "View.MemoryView":586 + * + * @property + * def itemsize(self): # <<<<<<<<<<<<<< + * return self.view.itemsize + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.memoryview.itemsize.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":590 + * + * @property + * def nbytes(self): # <<<<<<<<<<<<<< + * return self.size * self.view.itemsize + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":591 + * @property + * def nbytes(self): + * return self.size * self.view.itemsize # <<<<<<<<<<<<<< + * + * @property + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_size); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 591, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_self->view.itemsize); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 591, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyNumber_Multiply(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 591, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_r = __pyx_t_3; + __pyx_t_3 = 0; + goto __pyx_L0; + + /* "View.MemoryView":590 + * + * @property + * def nbytes(self): # <<<<<<<<<<<<<< + * return self.size * self.view.itemsize + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview.nbytes.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":594 + * + * @property + * def size(self): # <<<<<<<<<<<<<< + * if self._size is None: + * result = 1 + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_v_result = NULL; + PyObject *__pyx_v_length = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + Py_ssize_t *__pyx_t_3; + Py_ssize_t *__pyx_t_4; + Py_ssize_t *__pyx_t_5; + PyObject *__pyx_t_6 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":595 + * @property + * def size(self): + * if self._size is None: # <<<<<<<<<<<<<< + * result = 1 + * + */ + __pyx_t_1 = (__pyx_v_self->_size == Py_None); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":596 + * def size(self): + * if self._size is None: + * result = 1 # <<<<<<<<<<<<<< + * + * for length in self.view.shape[:self.view.ndim]: + */ + __Pyx_INCREF(__pyx_int_1); + __pyx_v_result = __pyx_int_1; + + /* "View.MemoryView":598 + * result = 1 + * + * for length in self.view.shape[:self.view.ndim]: # <<<<<<<<<<<<<< + * result *= length + * + */ + __pyx_t_4 = (__pyx_v_self->view.shape + __pyx_v_self->view.ndim); + for (__pyx_t_5 = __pyx_v_self->view.shape; __pyx_t_5 < __pyx_t_4; __pyx_t_5++) { + __pyx_t_3 = __pyx_t_5; + __pyx_t_6 = PyInt_FromSsize_t((__pyx_t_3[0])); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 598, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_XDECREF_SET(__pyx_v_length, __pyx_t_6); + __pyx_t_6 = 0; + + /* "View.MemoryView":599 + * + * for length in self.view.shape[:self.view.ndim]: + * result *= length # <<<<<<<<<<<<<< + * + * self._size = result + */ + __pyx_t_6 = PyNumber_InPlaceMultiply(__pyx_v_result, __pyx_v_length); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 599, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_DECREF_SET(__pyx_v_result, __pyx_t_6); + __pyx_t_6 = 0; + } + + /* "View.MemoryView":601 + * result *= length + * + * self._size = result # <<<<<<<<<<<<<< + * + * return self._size + */ + __Pyx_INCREF(__pyx_v_result); + __Pyx_GIVEREF(__pyx_v_result); + __Pyx_GOTREF(__pyx_v_self->_size); + __Pyx_DECREF(__pyx_v_self->_size); + __pyx_v_self->_size = __pyx_v_result; + + /* "View.MemoryView":595 + * @property + * def size(self): + * if self._size is None: # <<<<<<<<<<<<<< + * result = 1 + * + */ + } + + /* "View.MemoryView":603 + * self._size = result + * + * return self._size # <<<<<<<<<<<<<< + * + * def __len__(self): + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_self->_size); + __pyx_r = __pyx_v_self->_size; + goto __pyx_L0; + + /* "View.MemoryView":594 + * + * @property + * def size(self): # <<<<<<<<<<<<<< + * if self._size is None: + * result = 1 + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_6); + __Pyx_AddTraceback("View.MemoryView.memoryview.size.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_result); + __Pyx_XDECREF(__pyx_v_length); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":605 + * return self._size + * + * def __len__(self): # <<<<<<<<<<<<<< + * if self.view.ndim >= 1: + * return self.view.shape[0] + */ + +/* Python wrapper */ +static Py_ssize_t __pyx_memoryview___len__(PyObject *__pyx_v_self); /*proto*/ +static Py_ssize_t __pyx_memoryview___len__(PyObject *__pyx_v_self) { + Py_ssize_t __pyx_r; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__len__ (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self) { + Py_ssize_t __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + __Pyx_RefNannySetupContext("__len__", 0); + + /* "View.MemoryView":606 + * + * def __len__(self): + * if self.view.ndim >= 1: # <<<<<<<<<<<<<< + * return self.view.shape[0] + * + */ + __pyx_t_1 = ((__pyx_v_self->view.ndim >= 1) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":607 + * def __len__(self): + * if self.view.ndim >= 1: + * return self.view.shape[0] # <<<<<<<<<<<<<< + * + * return 0 + */ + __pyx_r = (__pyx_v_self->view.shape[0]); + goto __pyx_L0; + + /* "View.MemoryView":606 + * + * def __len__(self): + * if self.view.ndim >= 1: # <<<<<<<<<<<<<< + * return self.view.shape[0] + * + */ + } + + /* "View.MemoryView":609 + * return self.view.shape[0] + * + * return 0 # <<<<<<<<<<<<<< + * + * def __repr__(self): + */ + __pyx_r = 0; + goto __pyx_L0; + + /* "View.MemoryView":605 + * return self._size + * + * def __len__(self): # <<<<<<<<<<<<<< + * if self.view.ndim >= 1: + * return self.view.shape[0] + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":611 + * return 0 + * + * def __repr__(self): # <<<<<<<<<<<<<< + * return "" % (self.base.__class__.__name__, + * id(self)) + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview___repr__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_memoryview___repr__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__repr__ (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__repr__", 0); + + /* "View.MemoryView":612 + * + * def __repr__(self): + * return "" % (self.base.__class__.__name__, # <<<<<<<<<<<<<< + * id(self)) + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_base); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_class); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_name_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "View.MemoryView":613 + * def __repr__(self): + * return "" % (self.base.__class__.__name__, + * id(self)) # <<<<<<<<<<<<<< + * + * def __str__(self): + */ + __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_builtin_id, ((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 613, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + + /* "View.MemoryView":612 + * + * def __repr__(self): + * return "" % (self.base.__class__.__name__, # <<<<<<<<<<<<<< + * id(self)) + * + */ + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_2); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyString_Format(__pyx_kp_s_MemoryView_of_r_at_0x_x, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 612, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":611 + * return 0 + * + * def __repr__(self): # <<<<<<<<<<<<<< + * return "" % (self.base.__class__.__name__, + * id(self)) + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview.__repr__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":615 + * id(self)) + * + * def __str__(self): # <<<<<<<<<<<<<< + * return "" % (self.base.__class__.__name__,) + * + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview___str__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_memoryview___str__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__str__ (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__str__", 0); + + /* "View.MemoryView":616 + * + * def __str__(self): + * return "" % (self.base.__class__.__name__,) # <<<<<<<<<<<<<< + * + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_base); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 616, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_class); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 616, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_name_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 616, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 616, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_PyString_Format(__pyx_kp_s_MemoryView_of_r_object, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 616, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "View.MemoryView":615 + * id(self)) + * + * def __str__(self): # <<<<<<<<<<<<<< + * return "" % (self.base.__class__.__name__,) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.memoryview.__str__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":619 + * + * + * def is_c_contig(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice *mslice + * cdef __Pyx_memviewslice tmp + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview_is_c_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_memoryview_is_c_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("is_c_contig (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self) { + __Pyx_memviewslice *__pyx_v_mslice; + __Pyx_memviewslice __pyx_v_tmp; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_memviewslice *__pyx_t_1; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("is_c_contig", 0); + + /* "View.MemoryView":622 + * cdef __Pyx_memviewslice *mslice + * cdef __Pyx_memviewslice tmp + * mslice = get_slice_from_memview(self, &tmp) # <<<<<<<<<<<<<< + * return slice_is_contig(mslice[0], 'C', self.view.ndim) + * + */ + __pyx_t_1 = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_self, (&__pyx_v_tmp)); if (unlikely(__pyx_t_1 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 622, __pyx_L1_error) + __pyx_v_mslice = __pyx_t_1; + + /* "View.MemoryView":623 + * cdef __Pyx_memviewslice tmp + * mslice = get_slice_from_memview(self, &tmp) + * return slice_is_contig(mslice[0], 'C', self.view.ndim) # <<<<<<<<<<<<<< + * + * def is_f_contig(self): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_memviewslice_is_contig((__pyx_v_mslice[0]), 'C', __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 623, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":619 + * + * + * def is_c_contig(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice *mslice + * cdef __Pyx_memviewslice tmp + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.memoryview.is_c_contig", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":625 + * return slice_is_contig(mslice[0], 'C', self.view.ndim) + * + * def is_f_contig(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice *mslice + * cdef __Pyx_memviewslice tmp + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview_is_f_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_memoryview_is_f_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("is_f_contig (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self) { + __Pyx_memviewslice *__pyx_v_mslice; + __Pyx_memviewslice __pyx_v_tmp; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_memviewslice *__pyx_t_1; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("is_f_contig", 0); + + /* "View.MemoryView":628 + * cdef __Pyx_memviewslice *mslice + * cdef __Pyx_memviewslice tmp + * mslice = get_slice_from_memview(self, &tmp) # <<<<<<<<<<<<<< + * return slice_is_contig(mslice[0], 'F', self.view.ndim) + * + */ + __pyx_t_1 = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_self, (&__pyx_v_tmp)); if (unlikely(__pyx_t_1 == ((__Pyx_memviewslice *)NULL))) __PYX_ERR(2, 628, __pyx_L1_error) + __pyx_v_mslice = __pyx_t_1; + + /* "View.MemoryView":629 + * cdef __Pyx_memviewslice tmp + * mslice = get_slice_from_memview(self, &tmp) + * return slice_is_contig(mslice[0], 'F', self.view.ndim) # <<<<<<<<<<<<<< + * + * def copy(self): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_memviewslice_is_contig((__pyx_v_mslice[0]), 'F', __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":625 + * return slice_is_contig(mslice[0], 'C', self.view.ndim) + * + * def is_f_contig(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice *mslice + * cdef __Pyx_memviewslice tmp + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.memoryview.is_f_contig", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":631 + * return slice_is_contig(mslice[0], 'F', self.view.ndim) + * + * def copy(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice mslice + * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview_copy(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_memoryview_copy(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("copy (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self) { + __Pyx_memviewslice __pyx_v_mslice; + int __pyx_v_flags; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_memviewslice __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("copy", 0); + + /* "View.MemoryView":633 + * def copy(self): + * cdef __Pyx_memviewslice mslice + * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS # <<<<<<<<<<<<<< + * + * slice_copy(self, &mslice) + */ + __pyx_v_flags = (__pyx_v_self->flags & (~PyBUF_F_CONTIGUOUS)); + + /* "View.MemoryView":635 + * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS + * + * slice_copy(self, &mslice) # <<<<<<<<<<<<<< + * mslice = slice_copy_contig(&mslice, "c", self.view.ndim, + * self.view.itemsize, + */ + __pyx_memoryview_slice_copy(__pyx_v_self, (&__pyx_v_mslice)); + + /* "View.MemoryView":636 + * + * slice_copy(self, &mslice) + * mslice = slice_copy_contig(&mslice, "c", self.view.ndim, # <<<<<<<<<<<<<< + * self.view.itemsize, + * flags|PyBUF_C_CONTIGUOUS, + */ + __pyx_t_1 = __pyx_memoryview_copy_new_contig((&__pyx_v_mslice), ((char *)"c"), __pyx_v_self->view.ndim, __pyx_v_self->view.itemsize, (__pyx_v_flags | PyBUF_C_CONTIGUOUS), __pyx_v_self->dtype_is_object); if (unlikely(PyErr_Occurred())) __PYX_ERR(2, 636, __pyx_L1_error) + __pyx_v_mslice = __pyx_t_1; + + /* "View.MemoryView":641 + * self.dtype_is_object) + * + * return memoryview_copy_from_slice(self, &mslice) # <<<<<<<<<<<<<< + * + * def copy_fortran(self): + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __pyx_memoryview_copy_object_from_slice(__pyx_v_self, (&__pyx_v_mslice)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 641, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":631 + * return slice_is_contig(mslice[0], 'F', self.view.ndim) + * + * def copy(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice mslice + * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.memoryview.copy", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":643 + * return memoryview_copy_from_slice(self, &mslice) + * + * def copy_fortran(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice src, dst + * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS + */ + +/* Python wrapper */ +static PyObject *__pyx_memoryview_copy_fortran(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_memoryview_copy_fortran(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("copy_fortran (wrapper)", 0); + __pyx_r = __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self) { + __Pyx_memviewslice __pyx_v_src; + __Pyx_memviewslice __pyx_v_dst; + int __pyx_v_flags; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_memviewslice __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("copy_fortran", 0); + + /* "View.MemoryView":645 + * def copy_fortran(self): + * cdef __Pyx_memviewslice src, dst + * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS # <<<<<<<<<<<<<< + * + * slice_copy(self, &src) + */ + __pyx_v_flags = (__pyx_v_self->flags & (~PyBUF_C_CONTIGUOUS)); + + /* "View.MemoryView":647 + * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS + * + * slice_copy(self, &src) # <<<<<<<<<<<<<< + * dst = slice_copy_contig(&src, "fortran", self.view.ndim, + * self.view.itemsize, + */ + __pyx_memoryview_slice_copy(__pyx_v_self, (&__pyx_v_src)); + + /* "View.MemoryView":648 + * + * slice_copy(self, &src) + * dst = slice_copy_contig(&src, "fortran", self.view.ndim, # <<<<<<<<<<<<<< + * self.view.itemsize, + * flags|PyBUF_F_CONTIGUOUS, + */ + __pyx_t_1 = __pyx_memoryview_copy_new_contig((&__pyx_v_src), ((char *)"fortran"), __pyx_v_self->view.ndim, __pyx_v_self->view.itemsize, (__pyx_v_flags | PyBUF_F_CONTIGUOUS), __pyx_v_self->dtype_is_object); if (unlikely(PyErr_Occurred())) __PYX_ERR(2, 648, __pyx_L1_error) + __pyx_v_dst = __pyx_t_1; + + /* "View.MemoryView":653 + * self.dtype_is_object) + * + * return memoryview_copy_from_slice(self, &dst) # <<<<<<<<<<<<<< + * + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __pyx_memoryview_copy_object_from_slice(__pyx_v_self, (&__pyx_v_dst)); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 653, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":643 + * return memoryview_copy_from_slice(self, &mslice) + * + * def copy_fortran(self): # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice src, dst + * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView.memoryview.copy_fortran", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_memoryview_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_pw___pyx_memoryview_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__reduce_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_memoryview___reduce_cython__(((struct __pyx_memoryview_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__reduce_cython__", 0); + + /* "(tree fragment)":2 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__29, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 2, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 2, __pyx_L1_error) + + /* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.memoryview.__reduce_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":3 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_memoryview_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state); /*proto*/ +static PyObject *__pyx_pw___pyx_memoryview_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__setstate_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_memoryview_2__setstate_cython__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((PyObject *)__pyx_v___pyx_state)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__setstate_cython__", 0); + + /* "(tree fragment)":4 + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__30, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 4, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 4, __pyx_L1_error) + + /* "(tree fragment)":3 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.memoryview.__setstate_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":657 + * + * @cname('__pyx_memoryview_new') + * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): # <<<<<<<<<<<<<< + * cdef memoryview result = memoryview(o, flags, dtype_is_object) + * result.typeinfo = typeinfo + */ + +static PyObject *__pyx_memoryview_new(PyObject *__pyx_v_o, int __pyx_v_flags, int __pyx_v_dtype_is_object, __Pyx_TypeInfo *__pyx_v_typeinfo) { + struct __pyx_memoryview_obj *__pyx_v_result = 0; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("memoryview_cwrapper", 0); + + /* "View.MemoryView":658 + * @cname('__pyx_memoryview_new') + * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): + * cdef memoryview result = memoryview(o, flags, dtype_is_object) # <<<<<<<<<<<<<< + * result.typeinfo = typeinfo + * return result + */ + __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_flags); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 658, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 658, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 658, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_o); + __Pyx_GIVEREF(__pyx_v_o); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_o); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryview_type), __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 658, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_result = ((struct __pyx_memoryview_obj *)__pyx_t_2); + __pyx_t_2 = 0; + + /* "View.MemoryView":659 + * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): + * cdef memoryview result = memoryview(o, flags, dtype_is_object) + * result.typeinfo = typeinfo # <<<<<<<<<<<<<< + * return result + * + */ + __pyx_v_result->typeinfo = __pyx_v_typeinfo; + + /* "View.MemoryView":660 + * cdef memoryview result = memoryview(o, flags, dtype_is_object) + * result.typeinfo = typeinfo + * return result # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_check') + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(((PyObject *)__pyx_v_result)); + __pyx_r = ((PyObject *)__pyx_v_result); + goto __pyx_L0; + + /* "View.MemoryView":657 + * + * @cname('__pyx_memoryview_new') + * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): # <<<<<<<<<<<<<< + * cdef memoryview result = memoryview(o, flags, dtype_is_object) + * result.typeinfo = typeinfo + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview_cwrapper", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_result); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":663 + * + * @cname('__pyx_memoryview_check') + * cdef inline bint memoryview_check(object o): # <<<<<<<<<<<<<< + * return isinstance(o, memoryview) + * + */ + +static CYTHON_INLINE int __pyx_memoryview_check(PyObject *__pyx_v_o) { + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + __Pyx_RefNannySetupContext("memoryview_check", 0); + + /* "View.MemoryView":664 + * @cname('__pyx_memoryview_check') + * cdef inline bint memoryview_check(object o): + * return isinstance(o, memoryview) # <<<<<<<<<<<<<< + * + * cdef tuple _unellipsify(object index, int ndim): + */ + __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_o, __pyx_memoryview_type); + __pyx_r = __pyx_t_1; + goto __pyx_L0; + + /* "View.MemoryView":663 + * + * @cname('__pyx_memoryview_check') + * cdef inline bint memoryview_check(object o): # <<<<<<<<<<<<<< + * return isinstance(o, memoryview) + * + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":666 + * return isinstance(o, memoryview) + * + * cdef tuple _unellipsify(object index, int ndim): # <<<<<<<<<<<<<< + * """ + * Replace all ellipses with full slices and fill incomplete indices with + */ + +static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { + PyObject *__pyx_v_tup = NULL; + PyObject *__pyx_v_result = NULL; + int __pyx_v_have_slices; + int __pyx_v_seen_ellipsis; + CYTHON_UNUSED PyObject *__pyx_v_idx = NULL; + PyObject *__pyx_v_item = NULL; + Py_ssize_t __pyx_v_nslices; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + Py_ssize_t __pyx_t_5; + PyObject *(*__pyx_t_6)(PyObject *); + PyObject *__pyx_t_7 = NULL; + Py_ssize_t __pyx_t_8; + int __pyx_t_9; + int __pyx_t_10; + PyObject *__pyx_t_11 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("_unellipsify", 0); + + /* "View.MemoryView":671 + * full slices. + * """ + * if not isinstance(index, tuple): # <<<<<<<<<<<<<< + * tup = (index,) + * else: + */ + __pyx_t_1 = PyTuple_Check(__pyx_v_index); + __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":672 + * """ + * if not isinstance(index, tuple): + * tup = (index,) # <<<<<<<<<<<<<< + * else: + * tup = index + */ + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 672, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_index); + __Pyx_GIVEREF(__pyx_v_index); + PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_index); + __pyx_v_tup = __pyx_t_3; + __pyx_t_3 = 0; + + /* "View.MemoryView":671 + * full slices. + * """ + * if not isinstance(index, tuple): # <<<<<<<<<<<<<< + * tup = (index,) + * else: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":674 + * tup = (index,) + * else: + * tup = index # <<<<<<<<<<<<<< + * + * result = [] + */ + /*else*/ { + __Pyx_INCREF(__pyx_v_index); + __pyx_v_tup = __pyx_v_index; + } + __pyx_L3:; + + /* "View.MemoryView":676 + * tup = index + * + * result = [] # <<<<<<<<<<<<<< + * have_slices = False + * seen_ellipsis = False + */ + __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 676, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_v_result = ((PyObject*)__pyx_t_3); + __pyx_t_3 = 0; + + /* "View.MemoryView":677 + * + * result = [] + * have_slices = False # <<<<<<<<<<<<<< + * seen_ellipsis = False + * for idx, item in enumerate(tup): + */ + __pyx_v_have_slices = 0; + + /* "View.MemoryView":678 + * result = [] + * have_slices = False + * seen_ellipsis = False # <<<<<<<<<<<<<< + * for idx, item in enumerate(tup): + * if item is Ellipsis: + */ + __pyx_v_seen_ellipsis = 0; + + /* "View.MemoryView":679 + * have_slices = False + * seen_ellipsis = False + * for idx, item in enumerate(tup): # <<<<<<<<<<<<<< + * if item is Ellipsis: + * if not seen_ellipsis: + */ + __Pyx_INCREF(__pyx_int_0); + __pyx_t_3 = __pyx_int_0; + if (likely(PyList_CheckExact(__pyx_v_tup)) || PyTuple_CheckExact(__pyx_v_tup)) { + __pyx_t_4 = __pyx_v_tup; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0; + __pyx_t_6 = NULL; + } else { + __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_v_tup); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 679, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 679, __pyx_L1_error) + } + for (;;) { + if (likely(!__pyx_t_6)) { + if (likely(PyList_CheckExact(__pyx_t_4))) { + if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_7 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(2, 679, __pyx_L1_error) + #else + __pyx_t_7 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 679, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + #endif + } else { + if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_7 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(2, 679, __pyx_L1_error) + #else + __pyx_t_7 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 679, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + #endif + } + } else { + __pyx_t_7 = __pyx_t_6(__pyx_t_4); + if (unlikely(!__pyx_t_7)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(2, 679, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_7); + } + __Pyx_XDECREF_SET(__pyx_v_item, __pyx_t_7); + __pyx_t_7 = 0; + __Pyx_INCREF(__pyx_t_3); + __Pyx_XDECREF_SET(__pyx_v_idx, __pyx_t_3); + __pyx_t_7 = __Pyx_PyInt_AddObjC(__pyx_t_3, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 679, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_3); + __pyx_t_3 = __pyx_t_7; + __pyx_t_7 = 0; + + /* "View.MemoryView":680 + * seen_ellipsis = False + * for idx, item in enumerate(tup): + * if item is Ellipsis: # <<<<<<<<<<<<<< + * if not seen_ellipsis: + * result.extend([slice(None)] * (ndim - len(tup) + 1)) + */ + __pyx_t_2 = (__pyx_v_item == __pyx_builtin_Ellipsis); + __pyx_t_1 = (__pyx_t_2 != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":681 + * for idx, item in enumerate(tup): + * if item is Ellipsis: + * if not seen_ellipsis: # <<<<<<<<<<<<<< + * result.extend([slice(None)] * (ndim - len(tup) + 1)) + * seen_ellipsis = True + */ + __pyx_t_1 = ((!(__pyx_v_seen_ellipsis != 0)) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":682 + * if item is Ellipsis: + * if not seen_ellipsis: + * result.extend([slice(None)] * (ndim - len(tup) + 1)) # <<<<<<<<<<<<<< + * seen_ellipsis = True + * else: + */ + __pyx_t_8 = PyObject_Length(__pyx_v_tup); if (unlikely(__pyx_t_8 == ((Py_ssize_t)-1))) __PYX_ERR(2, 682, __pyx_L1_error) + __pyx_t_7 = PyList_New(1 * ((((__pyx_v_ndim - __pyx_t_8) + 1)<0) ? 0:((__pyx_v_ndim - __pyx_t_8) + 1))); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 682, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + { Py_ssize_t __pyx_temp; + for (__pyx_temp=0; __pyx_temp < ((__pyx_v_ndim - __pyx_t_8) + 1); __pyx_temp++) { + __Pyx_INCREF(__pyx_slice__31); + __Pyx_GIVEREF(__pyx_slice__31); + PyList_SET_ITEM(__pyx_t_7, __pyx_temp, __pyx_slice__31); + } + } + __pyx_t_9 = __Pyx_PyList_Extend(__pyx_v_result, __pyx_t_7); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(2, 682, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + + /* "View.MemoryView":683 + * if not seen_ellipsis: + * result.extend([slice(None)] * (ndim - len(tup) + 1)) + * seen_ellipsis = True # <<<<<<<<<<<<<< + * else: + * result.append(slice(None)) + */ + __pyx_v_seen_ellipsis = 1; + + /* "View.MemoryView":681 + * for idx, item in enumerate(tup): + * if item is Ellipsis: + * if not seen_ellipsis: # <<<<<<<<<<<<<< + * result.extend([slice(None)] * (ndim - len(tup) + 1)) + * seen_ellipsis = True + */ + goto __pyx_L7; + } + + /* "View.MemoryView":685 + * seen_ellipsis = True + * else: + * result.append(slice(None)) # <<<<<<<<<<<<<< + * have_slices = True + * else: + */ + /*else*/ { + __pyx_t_9 = __Pyx_PyList_Append(__pyx_v_result, __pyx_slice__31); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(2, 685, __pyx_L1_error) + } + __pyx_L7:; + + /* "View.MemoryView":686 + * else: + * result.append(slice(None)) + * have_slices = True # <<<<<<<<<<<<<< + * else: + * if not isinstance(item, slice) and not PyIndex_Check(item): + */ + __pyx_v_have_slices = 1; + + /* "View.MemoryView":680 + * seen_ellipsis = False + * for idx, item in enumerate(tup): + * if item is Ellipsis: # <<<<<<<<<<<<<< + * if not seen_ellipsis: + * result.extend([slice(None)] * (ndim - len(tup) + 1)) + */ + goto __pyx_L6; + } + + /* "View.MemoryView":688 + * have_slices = True + * else: + * if not isinstance(item, slice) and not PyIndex_Check(item): # <<<<<<<<<<<<<< + * raise TypeError("Cannot index with type '%s'" % type(item)) + * + */ + /*else*/ { + __pyx_t_2 = PySlice_Check(__pyx_v_item); + __pyx_t_10 = ((!(__pyx_t_2 != 0)) != 0); + if (__pyx_t_10) { + } else { + __pyx_t_1 = __pyx_t_10; + goto __pyx_L9_bool_binop_done; + } + __pyx_t_10 = ((!(PyIndex_Check(__pyx_v_item) != 0)) != 0); + __pyx_t_1 = __pyx_t_10; + __pyx_L9_bool_binop_done:; + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":689 + * else: + * if not isinstance(item, slice) and not PyIndex_Check(item): + * raise TypeError("Cannot index with type '%s'" % type(item)) # <<<<<<<<<<<<<< + * + * have_slices = have_slices or isinstance(item, slice) + */ + __pyx_t_7 = __Pyx_PyString_FormatSafe(__pyx_kp_s_Cannot_index_with_type_s, ((PyObject *)Py_TYPE(__pyx_v_item))); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 689, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __pyx_t_11 = __Pyx_PyObject_CallOneArg(__pyx_builtin_TypeError, __pyx_t_7); if (unlikely(!__pyx_t_11)) __PYX_ERR(2, 689, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_Raise(__pyx_t_11, 0, 0, 0); + __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0; + __PYX_ERR(2, 689, __pyx_L1_error) + + /* "View.MemoryView":688 + * have_slices = True + * else: + * if not isinstance(item, slice) and not PyIndex_Check(item): # <<<<<<<<<<<<<< + * raise TypeError("Cannot index with type '%s'" % type(item)) + * + */ + } + + /* "View.MemoryView":691 + * raise TypeError("Cannot index with type '%s'" % type(item)) + * + * have_slices = have_slices or isinstance(item, slice) # <<<<<<<<<<<<<< + * result.append(item) + * + */ + __pyx_t_10 = (__pyx_v_have_slices != 0); + if (!__pyx_t_10) { + } else { + __pyx_t_1 = __pyx_t_10; + goto __pyx_L11_bool_binop_done; + } + __pyx_t_10 = PySlice_Check(__pyx_v_item); + __pyx_t_2 = (__pyx_t_10 != 0); + __pyx_t_1 = __pyx_t_2; + __pyx_L11_bool_binop_done:; + __pyx_v_have_slices = __pyx_t_1; + + /* "View.MemoryView":692 + * + * have_slices = have_slices or isinstance(item, slice) + * result.append(item) # <<<<<<<<<<<<<< + * + * nslices = ndim - len(result) + */ + __pyx_t_9 = __Pyx_PyList_Append(__pyx_v_result, __pyx_v_item); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(2, 692, __pyx_L1_error) + } + __pyx_L6:; + + /* "View.MemoryView":679 + * have_slices = False + * seen_ellipsis = False + * for idx, item in enumerate(tup): # <<<<<<<<<<<<<< + * if item is Ellipsis: + * if not seen_ellipsis: + */ + } + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "View.MemoryView":694 + * result.append(item) + * + * nslices = ndim - len(result) # <<<<<<<<<<<<<< + * if nslices: + * result.extend([slice(None)] * nslices) + */ + __pyx_t_5 = PyList_GET_SIZE(__pyx_v_result); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(2, 694, __pyx_L1_error) + __pyx_v_nslices = (__pyx_v_ndim - __pyx_t_5); + + /* "View.MemoryView":695 + * + * nslices = ndim - len(result) + * if nslices: # <<<<<<<<<<<<<< + * result.extend([slice(None)] * nslices) + * + */ + __pyx_t_1 = (__pyx_v_nslices != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":696 + * nslices = ndim - len(result) + * if nslices: + * result.extend([slice(None)] * nslices) # <<<<<<<<<<<<<< + * + * return have_slices or nslices, tuple(result) + */ + __pyx_t_3 = PyList_New(1 * ((__pyx_v_nslices<0) ? 0:__pyx_v_nslices)); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 696, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + { Py_ssize_t __pyx_temp; + for (__pyx_temp=0; __pyx_temp < __pyx_v_nslices; __pyx_temp++) { + __Pyx_INCREF(__pyx_slice__31); + __Pyx_GIVEREF(__pyx_slice__31); + PyList_SET_ITEM(__pyx_t_3, __pyx_temp, __pyx_slice__31); + } + } + __pyx_t_9 = __Pyx_PyList_Extend(__pyx_v_result, __pyx_t_3); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(2, 696, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "View.MemoryView":695 + * + * nslices = ndim - len(result) + * if nslices: # <<<<<<<<<<<<<< + * result.extend([slice(None)] * nslices) + * + */ + } + + /* "View.MemoryView":698 + * result.extend([slice(None)] * nslices) + * + * return have_slices or nslices, tuple(result) # <<<<<<<<<<<<<< + * + * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): + */ + __Pyx_XDECREF(__pyx_r); + if (!__pyx_v_have_slices) { + } else { + __pyx_t_4 = __Pyx_PyBool_FromLong(__pyx_v_have_slices); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 698, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = __pyx_t_4; + __pyx_t_4 = 0; + goto __pyx_L14_bool_binop_done; + } + __pyx_t_4 = PyInt_FromSsize_t(__pyx_v_nslices); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 698, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_3 = __pyx_t_4; + __pyx_t_4 = 0; + __pyx_L14_bool_binop_done:; + __pyx_t_4 = PyList_AsTuple(__pyx_v_result); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 698, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __pyx_t_11 = PyTuple_New(2); if (unlikely(!__pyx_t_11)) __PYX_ERR(2, 698, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_11); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_3); + __Pyx_GIVEREF(__pyx_t_4); + PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_t_4); + __pyx_t_3 = 0; + __pyx_t_4 = 0; + __pyx_r = ((PyObject*)__pyx_t_11); + __pyx_t_11 = 0; + goto __pyx_L0; + + /* "View.MemoryView":666 + * return isinstance(o, memoryview) + * + * cdef tuple _unellipsify(object index, int ndim): # <<<<<<<<<<<<<< + * """ + * Replace all ellipses with full slices and fill incomplete indices with + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_11); + __Pyx_AddTraceback("View.MemoryView._unellipsify", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v_tup); + __Pyx_XDECREF(__pyx_v_result); + __Pyx_XDECREF(__pyx_v_idx); + __Pyx_XDECREF(__pyx_v_item); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":700 + * return have_slices or nslices, tuple(result) + * + * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): # <<<<<<<<<<<<<< + * for suboffset in suboffsets[:ndim]: + * if suboffset >= 0: + */ + +static PyObject *assert_direct_dimensions(Py_ssize_t *__pyx_v_suboffsets, int __pyx_v_ndim) { + Py_ssize_t __pyx_v_suboffset; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + Py_ssize_t *__pyx_t_1; + Py_ssize_t *__pyx_t_2; + Py_ssize_t *__pyx_t_3; + int __pyx_t_4; + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("assert_direct_dimensions", 0); + + /* "View.MemoryView":701 + * + * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): + * for suboffset in suboffsets[:ndim]: # <<<<<<<<<<<<<< + * if suboffset >= 0: + * raise ValueError("Indirect dimensions not supported") + */ + __pyx_t_2 = (__pyx_v_suboffsets + __pyx_v_ndim); + for (__pyx_t_3 = __pyx_v_suboffsets; __pyx_t_3 < __pyx_t_2; __pyx_t_3++) { + __pyx_t_1 = __pyx_t_3; + __pyx_v_suboffset = (__pyx_t_1[0]); + + /* "View.MemoryView":702 + * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): + * for suboffset in suboffsets[:ndim]: + * if suboffset >= 0: # <<<<<<<<<<<<<< + * raise ValueError("Indirect dimensions not supported") + * + */ + __pyx_t_4 = ((__pyx_v_suboffset >= 0) != 0); + if (unlikely(__pyx_t_4)) { + + /* "View.MemoryView":703 + * for suboffset in suboffsets[:ndim]: + * if suboffset >= 0: + * raise ValueError("Indirect dimensions not supported") # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_5 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__32, NULL); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 703, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_Raise(__pyx_t_5, 0, 0, 0); + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __PYX_ERR(2, 703, __pyx_L1_error) + + /* "View.MemoryView":702 + * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): + * for suboffset in suboffsets[:ndim]: + * if suboffset >= 0: # <<<<<<<<<<<<<< + * raise ValueError("Indirect dimensions not supported") + * + */ + } + } + + /* "View.MemoryView":700 + * return have_slices or nslices, tuple(result) + * + * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): # <<<<<<<<<<<<<< + * for suboffset in suboffsets[:ndim]: + * if suboffset >= 0: + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.assert_direct_dimensions", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":710 + * + * @cname('__pyx_memview_slice') + * cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<< + * cdef int new_ndim = 0, suboffset_dim = -1, dim + * cdef bint negative_step + */ + +static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *__pyx_v_memview, PyObject *__pyx_v_indices) { + int __pyx_v_new_ndim; + int __pyx_v_suboffset_dim; + int __pyx_v_dim; + __Pyx_memviewslice __pyx_v_src; + __Pyx_memviewslice __pyx_v_dst; + __Pyx_memviewslice *__pyx_v_p_src; + struct __pyx_memoryviewslice_obj *__pyx_v_memviewsliceobj = 0; + __Pyx_memviewslice *__pyx_v_p_dst; + int *__pyx_v_p_suboffset_dim; + Py_ssize_t __pyx_v_start; + Py_ssize_t __pyx_v_stop; + Py_ssize_t __pyx_v_step; + int __pyx_v_have_start; + int __pyx_v_have_stop; + int __pyx_v_have_step; + PyObject *__pyx_v_index = NULL; + struct __pyx_memoryview_obj *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + struct __pyx_memoryview_obj *__pyx_t_4; + char *__pyx_t_5; + int __pyx_t_6; + Py_ssize_t __pyx_t_7; + PyObject *(*__pyx_t_8)(PyObject *); + PyObject *__pyx_t_9 = NULL; + Py_ssize_t __pyx_t_10; + int __pyx_t_11; + Py_ssize_t __pyx_t_12; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("memview_slice", 0); + + /* "View.MemoryView":711 + * @cname('__pyx_memview_slice') + * cdef memoryview memview_slice(memoryview memview, object indices): + * cdef int new_ndim = 0, suboffset_dim = -1, dim # <<<<<<<<<<<<<< + * cdef bint negative_step + * cdef __Pyx_memviewslice src, dst + */ + __pyx_v_new_ndim = 0; + __pyx_v_suboffset_dim = -1; + + /* "View.MemoryView":718 + * + * + * memset(&dst, 0, sizeof(dst)) # <<<<<<<<<<<<<< + * + * cdef _memoryviewslice memviewsliceobj + */ + (void)(memset((&__pyx_v_dst), 0, (sizeof(__pyx_v_dst)))); + + /* "View.MemoryView":722 + * cdef _memoryviewslice memviewsliceobj + * + * assert memview.view.ndim > 0 # <<<<<<<<<<<<<< + * + * if isinstance(memview, _memoryviewslice): + */ + #ifndef CYTHON_WITHOUT_ASSERTIONS + if (unlikely(!Py_OptimizeFlag)) { + if (unlikely(!((__pyx_v_memview->view.ndim > 0) != 0))) { + PyErr_SetNone(PyExc_AssertionError); + __PYX_ERR(2, 722, __pyx_L1_error) + } + } + #endif + + /* "View.MemoryView":724 + * assert memview.view.ndim > 0 + * + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * memviewsliceobj = memview + * p_src = &memviewsliceobj.from_slice + */ + __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":725 + * + * if isinstance(memview, _memoryviewslice): + * memviewsliceobj = memview # <<<<<<<<<<<<<< + * p_src = &memviewsliceobj.from_slice + * else: + */ + if (!(likely(((((PyObject *)__pyx_v_memview)) == Py_None) || likely(__Pyx_TypeTest(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type))))) __PYX_ERR(2, 725, __pyx_L1_error) + __pyx_t_3 = ((PyObject *)__pyx_v_memview); + __Pyx_INCREF(__pyx_t_3); + __pyx_v_memviewsliceobj = ((struct __pyx_memoryviewslice_obj *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "View.MemoryView":726 + * if isinstance(memview, _memoryviewslice): + * memviewsliceobj = memview + * p_src = &memviewsliceobj.from_slice # <<<<<<<<<<<<<< + * else: + * slice_copy(memview, &src) + */ + __pyx_v_p_src = (&__pyx_v_memviewsliceobj->from_slice); + + /* "View.MemoryView":724 + * assert memview.view.ndim > 0 + * + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * memviewsliceobj = memview + * p_src = &memviewsliceobj.from_slice + */ + goto __pyx_L3; + } + + /* "View.MemoryView":728 + * p_src = &memviewsliceobj.from_slice + * else: + * slice_copy(memview, &src) # <<<<<<<<<<<<<< + * p_src = &src + * + */ + /*else*/ { + __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_src)); + + /* "View.MemoryView":729 + * else: + * slice_copy(memview, &src) + * p_src = &src # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_p_src = (&__pyx_v_src); + } + __pyx_L3:; + + /* "View.MemoryView":735 + * + * + * dst.memview = p_src.memview # <<<<<<<<<<<<<< + * dst.data = p_src.data + * + */ + __pyx_t_4 = __pyx_v_p_src->memview; + __pyx_v_dst.memview = __pyx_t_4; + + /* "View.MemoryView":736 + * + * dst.memview = p_src.memview + * dst.data = p_src.data # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_5 = __pyx_v_p_src->data; + __pyx_v_dst.data = __pyx_t_5; + + /* "View.MemoryView":741 + * + * + * cdef __Pyx_memviewslice *p_dst = &dst # <<<<<<<<<<<<<< + * cdef int *p_suboffset_dim = &suboffset_dim + * cdef Py_ssize_t start, stop, step + */ + __pyx_v_p_dst = (&__pyx_v_dst); + + /* "View.MemoryView":742 + * + * cdef __Pyx_memviewslice *p_dst = &dst + * cdef int *p_suboffset_dim = &suboffset_dim # <<<<<<<<<<<<<< + * cdef Py_ssize_t start, stop, step + * cdef bint have_start, have_stop, have_step + */ + __pyx_v_p_suboffset_dim = (&__pyx_v_suboffset_dim); + + /* "View.MemoryView":746 + * cdef bint have_start, have_stop, have_step + * + * for dim, index in enumerate(indices): # <<<<<<<<<<<<<< + * if PyIndex_Check(index): + * slice_memviewslice( + */ + __pyx_t_6 = 0; + if (likely(PyList_CheckExact(__pyx_v_indices)) || PyTuple_CheckExact(__pyx_v_indices)) { + __pyx_t_3 = __pyx_v_indices; __Pyx_INCREF(__pyx_t_3); __pyx_t_7 = 0; + __pyx_t_8 = NULL; + } else { + __pyx_t_7 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_v_indices); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 746, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_8 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_8)) __PYX_ERR(2, 746, __pyx_L1_error) + } + for (;;) { + if (likely(!__pyx_t_8)) { + if (likely(PyList_CheckExact(__pyx_t_3))) { + if (__pyx_t_7 >= PyList_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_9 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_7); __Pyx_INCREF(__pyx_t_9); __pyx_t_7++; if (unlikely(0 < 0)) __PYX_ERR(2, 746, __pyx_L1_error) + #else + __pyx_t_9 = PySequence_ITEM(__pyx_t_3, __pyx_t_7); __pyx_t_7++; if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 746, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + #endif + } else { + if (__pyx_t_7 >= PyTuple_GET_SIZE(__pyx_t_3)) break; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + __pyx_t_9 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_7); __Pyx_INCREF(__pyx_t_9); __pyx_t_7++; if (unlikely(0 < 0)) __PYX_ERR(2, 746, __pyx_L1_error) + #else + __pyx_t_9 = PySequence_ITEM(__pyx_t_3, __pyx_t_7); __pyx_t_7++; if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 746, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + #endif + } + } else { + __pyx_t_9 = __pyx_t_8(__pyx_t_3); + if (unlikely(!__pyx_t_9)) { + PyObject* exc_type = PyErr_Occurred(); + if (exc_type) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); + else __PYX_ERR(2, 746, __pyx_L1_error) + } + break; + } + __Pyx_GOTREF(__pyx_t_9); + } + __Pyx_XDECREF_SET(__pyx_v_index, __pyx_t_9); + __pyx_t_9 = 0; + __pyx_v_dim = __pyx_t_6; + __pyx_t_6 = (__pyx_t_6 + 1); + + /* "View.MemoryView":747 + * + * for dim, index in enumerate(indices): + * if PyIndex_Check(index): # <<<<<<<<<<<<<< + * slice_memviewslice( + * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], + */ + __pyx_t_2 = (PyIndex_Check(__pyx_v_index) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":751 + * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], + * dim, new_ndim, p_suboffset_dim, + * index, 0, 0, # start, stop, step # <<<<<<<<<<<<<< + * 0, 0, 0, # have_{start,stop,step} + * False) + */ + __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_v_index); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 751, __pyx_L1_error) + + /* "View.MemoryView":748 + * for dim, index in enumerate(indices): + * if PyIndex_Check(index): + * slice_memviewslice( # <<<<<<<<<<<<<< + * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], + * dim, new_ndim, p_suboffset_dim, + */ + __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_t_10, 0, 0, 0, 0, 0, 0); if (unlikely(__pyx_t_11 == ((int)-1))) __PYX_ERR(2, 748, __pyx_L1_error) + + /* "View.MemoryView":747 + * + * for dim, index in enumerate(indices): + * if PyIndex_Check(index): # <<<<<<<<<<<<<< + * slice_memviewslice( + * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], + */ + goto __pyx_L6; + } + + /* "View.MemoryView":754 + * 0, 0, 0, # have_{start,stop,step} + * False) + * elif index is None: # <<<<<<<<<<<<<< + * p_dst.shape[new_ndim] = 1 + * p_dst.strides[new_ndim] = 0 + */ + __pyx_t_2 = (__pyx_v_index == Py_None); + __pyx_t_1 = (__pyx_t_2 != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":755 + * False) + * elif index is None: + * p_dst.shape[new_ndim] = 1 # <<<<<<<<<<<<<< + * p_dst.strides[new_ndim] = 0 + * p_dst.suboffsets[new_ndim] = -1 + */ + (__pyx_v_p_dst->shape[__pyx_v_new_ndim]) = 1; + + /* "View.MemoryView":756 + * elif index is None: + * p_dst.shape[new_ndim] = 1 + * p_dst.strides[new_ndim] = 0 # <<<<<<<<<<<<<< + * p_dst.suboffsets[new_ndim] = -1 + * new_ndim += 1 + */ + (__pyx_v_p_dst->strides[__pyx_v_new_ndim]) = 0; + + /* "View.MemoryView":757 + * p_dst.shape[new_ndim] = 1 + * p_dst.strides[new_ndim] = 0 + * p_dst.suboffsets[new_ndim] = -1 # <<<<<<<<<<<<<< + * new_ndim += 1 + * else: + */ + (__pyx_v_p_dst->suboffsets[__pyx_v_new_ndim]) = -1L; + + /* "View.MemoryView":758 + * p_dst.strides[new_ndim] = 0 + * p_dst.suboffsets[new_ndim] = -1 + * new_ndim += 1 # <<<<<<<<<<<<<< + * else: + * start = index.start or 0 + */ + __pyx_v_new_ndim = (__pyx_v_new_ndim + 1); + + /* "View.MemoryView":754 + * 0, 0, 0, # have_{start,stop,step} + * False) + * elif index is None: # <<<<<<<<<<<<<< + * p_dst.shape[new_ndim] = 1 + * p_dst.strides[new_ndim] = 0 + */ + goto __pyx_L6; + } + + /* "View.MemoryView":760 + * new_ndim += 1 + * else: + * start = index.start or 0 # <<<<<<<<<<<<<< + * stop = index.stop or 0 + * step = index.step or 0 + */ + /*else*/ { + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_start); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 760, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(2, 760, __pyx_L1_error) + if (!__pyx_t_1) { + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } else { + __pyx_t_12 = __Pyx_PyIndex_AsSsize_t(__pyx_t_9); if (unlikely((__pyx_t_12 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 760, __pyx_L1_error) + __pyx_t_10 = __pyx_t_12; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + goto __pyx_L7_bool_binop_done; + } + __pyx_t_10 = 0; + __pyx_L7_bool_binop_done:; + __pyx_v_start = __pyx_t_10; + + /* "View.MemoryView":761 + * else: + * start = index.start or 0 + * stop = index.stop or 0 # <<<<<<<<<<<<<< + * step = index.step or 0 + * + */ + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_stop); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 761, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(2, 761, __pyx_L1_error) + if (!__pyx_t_1) { + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } else { + __pyx_t_12 = __Pyx_PyIndex_AsSsize_t(__pyx_t_9); if (unlikely((__pyx_t_12 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 761, __pyx_L1_error) + __pyx_t_10 = __pyx_t_12; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + goto __pyx_L9_bool_binop_done; + } + __pyx_t_10 = 0; + __pyx_L9_bool_binop_done:; + __pyx_v_stop = __pyx_t_10; + + /* "View.MemoryView":762 + * start = index.start or 0 + * stop = index.stop or 0 + * step = index.step or 0 # <<<<<<<<<<<<<< + * + * have_start = index.start is not None + */ + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_step); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 762, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(2, 762, __pyx_L1_error) + if (!__pyx_t_1) { + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + } else { + __pyx_t_12 = __Pyx_PyIndex_AsSsize_t(__pyx_t_9); if (unlikely((__pyx_t_12 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 762, __pyx_L1_error) + __pyx_t_10 = __pyx_t_12; + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + goto __pyx_L11_bool_binop_done; + } + __pyx_t_10 = 0; + __pyx_L11_bool_binop_done:; + __pyx_v_step = __pyx_t_10; + + /* "View.MemoryView":764 + * step = index.step or 0 + * + * have_start = index.start is not None # <<<<<<<<<<<<<< + * have_stop = index.stop is not None + * have_step = index.step is not None + */ + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_start); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 764, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = (__pyx_t_9 != Py_None); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_v_have_start = __pyx_t_1; + + /* "View.MemoryView":765 + * + * have_start = index.start is not None + * have_stop = index.stop is not None # <<<<<<<<<<<<<< + * have_step = index.step is not None + * + */ + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_stop); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 765, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = (__pyx_t_9 != Py_None); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_v_have_stop = __pyx_t_1; + + /* "View.MemoryView":766 + * have_start = index.start is not None + * have_stop = index.stop is not None + * have_step = index.step is not None # <<<<<<<<<<<<<< + * + * slice_memviewslice( + */ + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_step); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 766, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_9); + __pyx_t_1 = (__pyx_t_9 != Py_None); + __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; + __pyx_v_have_step = __pyx_t_1; + + /* "View.MemoryView":768 + * have_step = index.step is not None + * + * slice_memviewslice( # <<<<<<<<<<<<<< + * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], + * dim, new_ndim, p_suboffset_dim, + */ + __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_v_start, __pyx_v_stop, __pyx_v_step, __pyx_v_have_start, __pyx_v_have_stop, __pyx_v_have_step, 1); if (unlikely(__pyx_t_11 == ((int)-1))) __PYX_ERR(2, 768, __pyx_L1_error) + + /* "View.MemoryView":774 + * have_start, have_stop, have_step, + * True) + * new_ndim += 1 # <<<<<<<<<<<<<< + * + * if isinstance(memview, _memoryviewslice): + */ + __pyx_v_new_ndim = (__pyx_v_new_ndim + 1); + } + __pyx_L6:; + + /* "View.MemoryView":746 + * cdef bint have_start, have_stop, have_step + * + * for dim, index in enumerate(indices): # <<<<<<<<<<<<<< + * if PyIndex_Check(index): + * slice_memviewslice( + */ + } + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "View.MemoryView":776 + * new_ndim += 1 + * + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * return memoryview_fromslice(dst, new_ndim, + * memviewsliceobj.to_object_func, + */ + __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":777 + * + * if isinstance(memview, _memoryviewslice): + * return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<< + * memviewsliceobj.to_object_func, + * memviewsliceobj.to_dtype_func, + */ + __Pyx_XDECREF(((PyObject *)__pyx_r)); + + /* "View.MemoryView":778 + * if isinstance(memview, _memoryviewslice): + * return memoryview_fromslice(dst, new_ndim, + * memviewsliceobj.to_object_func, # <<<<<<<<<<<<<< + * memviewsliceobj.to_dtype_func, + * memview.dtype_is_object) + */ + if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); __PYX_ERR(2, 778, __pyx_L1_error) } + + /* "View.MemoryView":779 + * return memoryview_fromslice(dst, new_ndim, + * memviewsliceobj.to_object_func, + * memviewsliceobj.to_dtype_func, # <<<<<<<<<<<<<< + * memview.dtype_is_object) + * else: + */ + if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); __PYX_ERR(2, 779, __pyx_L1_error) } + + /* "View.MemoryView":777 + * + * if isinstance(memview, _memoryviewslice): + * return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<< + * memviewsliceobj.to_object_func, + * memviewsliceobj.to_dtype_func, + */ + __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, __pyx_v_memviewsliceobj->to_object_func, __pyx_v_memviewsliceobj->to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 777, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(2, 777, __pyx_L1_error) + __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3); + __pyx_t_3 = 0; + goto __pyx_L0; + + /* "View.MemoryView":776 + * new_ndim += 1 + * + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * return memoryview_fromslice(dst, new_ndim, + * memviewsliceobj.to_object_func, + */ + } + + /* "View.MemoryView":782 + * memview.dtype_is_object) + * else: + * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< + * memview.dtype_is_object) + * + */ + /*else*/ { + __Pyx_XDECREF(((PyObject *)__pyx_r)); + + /* "View.MemoryView":783 + * else: + * return memoryview_fromslice(dst, new_ndim, NULL, NULL, + * memview.dtype_is_object) # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, NULL, NULL, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 782, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + + /* "View.MemoryView":782 + * memview.dtype_is_object) + * else: + * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< + * memview.dtype_is_object) + * + */ + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(2, 782, __pyx_L1_error) + __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3); + __pyx_t_3 = 0; + goto __pyx_L0; + } + + /* "View.MemoryView":710 + * + * @cname('__pyx_memview_slice') + * cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<< + * cdef int new_ndim = 0, suboffset_dim = -1, dim + * cdef bint negative_step + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_9); + __Pyx_AddTraceback("View.MemoryView.memview_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_memviewsliceobj); + __Pyx_XDECREF(__pyx_v_index); + __Pyx_XGIVEREF((PyObject *)__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":807 + * + * @cname('__pyx_memoryview_slice_memviewslice') + * cdef int slice_memviewslice( # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset, + */ + +static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) { + Py_ssize_t __pyx_v_new_shape; + int __pyx_v_negative_step; + int __pyx_r; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + + /* "View.MemoryView":827 + * cdef bint negative_step + * + * if not is_slice: # <<<<<<<<<<<<<< + * + * if start < 0: + */ + __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":829 + * if not is_slice: + * + * if start < 0: # <<<<<<<<<<<<<< + * start += shape + * if not 0 <= start < shape: + */ + __pyx_t_1 = ((__pyx_v_start < 0) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":830 + * + * if start < 0: + * start += shape # <<<<<<<<<<<<<< + * if not 0 <= start < shape: + * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) + */ + __pyx_v_start = (__pyx_v_start + __pyx_v_shape); + + /* "View.MemoryView":829 + * if not is_slice: + * + * if start < 0: # <<<<<<<<<<<<<< + * start += shape + * if not 0 <= start < shape: + */ + } + + /* "View.MemoryView":831 + * if start < 0: + * start += shape + * if not 0 <= start < shape: # <<<<<<<<<<<<<< + * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) + * else: + */ + __pyx_t_1 = (0 <= __pyx_v_start); + if (__pyx_t_1) { + __pyx_t_1 = (__pyx_v_start < __pyx_v_shape); + } + __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":832 + * start += shape + * if not 0 <= start < shape: + * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<< + * else: + * + */ + __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 832, __pyx_L1_error) + + /* "View.MemoryView":831 + * if start < 0: + * start += shape + * if not 0 <= start < shape: # <<<<<<<<<<<<<< + * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) + * else: + */ + } + + /* "View.MemoryView":827 + * cdef bint negative_step + * + * if not is_slice: # <<<<<<<<<<<<<< + * + * if start < 0: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":835 + * else: + * + * negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<< + * + * if have_step and step == 0: + */ + /*else*/ { + __pyx_t_1 = ((__pyx_v_have_step != 0) != 0); + if (__pyx_t_1) { + } else { + __pyx_t_2 = __pyx_t_1; + goto __pyx_L6_bool_binop_done; + } + __pyx_t_1 = ((__pyx_v_step < 0) != 0); + __pyx_t_2 = __pyx_t_1; + __pyx_L6_bool_binop_done:; + __pyx_v_negative_step = __pyx_t_2; + + /* "View.MemoryView":837 + * negative_step = have_step != 0 and step < 0 + * + * if have_step and step == 0: # <<<<<<<<<<<<<< + * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) + * + */ + __pyx_t_1 = (__pyx_v_have_step != 0); + if (__pyx_t_1) { + } else { + __pyx_t_2 = __pyx_t_1; + goto __pyx_L9_bool_binop_done; + } + __pyx_t_1 = ((__pyx_v_step == 0) != 0); + __pyx_t_2 = __pyx_t_1; + __pyx_L9_bool_binop_done:; + if (__pyx_t_2) { + + /* "View.MemoryView":838 + * + * if have_step and step == 0: + * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 838, __pyx_L1_error) + + /* "View.MemoryView":837 + * negative_step = have_step != 0 and step < 0 + * + * if have_step and step == 0: # <<<<<<<<<<<<<< + * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) + * + */ + } + + /* "View.MemoryView":841 + * + * + * if have_start: # <<<<<<<<<<<<<< + * if start < 0: + * start += shape + */ + __pyx_t_2 = (__pyx_v_have_start != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":842 + * + * if have_start: + * if start < 0: # <<<<<<<<<<<<<< + * start += shape + * if start < 0: + */ + __pyx_t_2 = ((__pyx_v_start < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":843 + * if have_start: + * if start < 0: + * start += shape # <<<<<<<<<<<<<< + * if start < 0: + * start = 0 + */ + __pyx_v_start = (__pyx_v_start + __pyx_v_shape); + + /* "View.MemoryView":844 + * if start < 0: + * start += shape + * if start < 0: # <<<<<<<<<<<<<< + * start = 0 + * elif start >= shape: + */ + __pyx_t_2 = ((__pyx_v_start < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":845 + * start += shape + * if start < 0: + * start = 0 # <<<<<<<<<<<<<< + * elif start >= shape: + * if negative_step: + */ + __pyx_v_start = 0; + + /* "View.MemoryView":844 + * if start < 0: + * start += shape + * if start < 0: # <<<<<<<<<<<<<< + * start = 0 + * elif start >= shape: + */ + } + + /* "View.MemoryView":842 + * + * if have_start: + * if start < 0: # <<<<<<<<<<<<<< + * start += shape + * if start < 0: + */ + goto __pyx_L12; + } + + /* "View.MemoryView":846 + * if start < 0: + * start = 0 + * elif start >= shape: # <<<<<<<<<<<<<< + * if negative_step: + * start = shape - 1 + */ + __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":847 + * start = 0 + * elif start >= shape: + * if negative_step: # <<<<<<<<<<<<<< + * start = shape - 1 + * else: + */ + __pyx_t_2 = (__pyx_v_negative_step != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":848 + * elif start >= shape: + * if negative_step: + * start = shape - 1 # <<<<<<<<<<<<<< + * else: + * start = shape + */ + __pyx_v_start = (__pyx_v_shape - 1); + + /* "View.MemoryView":847 + * start = 0 + * elif start >= shape: + * if negative_step: # <<<<<<<<<<<<<< + * start = shape - 1 + * else: + */ + goto __pyx_L14; + } + + /* "View.MemoryView":850 + * start = shape - 1 + * else: + * start = shape # <<<<<<<<<<<<<< + * else: + * if negative_step: + */ + /*else*/ { + __pyx_v_start = __pyx_v_shape; + } + __pyx_L14:; + + /* "View.MemoryView":846 + * if start < 0: + * start = 0 + * elif start >= shape: # <<<<<<<<<<<<<< + * if negative_step: + * start = shape - 1 + */ + } + __pyx_L12:; + + /* "View.MemoryView":841 + * + * + * if have_start: # <<<<<<<<<<<<<< + * if start < 0: + * start += shape + */ + goto __pyx_L11; + } + + /* "View.MemoryView":852 + * start = shape + * else: + * if negative_step: # <<<<<<<<<<<<<< + * start = shape - 1 + * else: + */ + /*else*/ { + __pyx_t_2 = (__pyx_v_negative_step != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":853 + * else: + * if negative_step: + * start = shape - 1 # <<<<<<<<<<<<<< + * else: + * start = 0 + */ + __pyx_v_start = (__pyx_v_shape - 1); + + /* "View.MemoryView":852 + * start = shape + * else: + * if negative_step: # <<<<<<<<<<<<<< + * start = shape - 1 + * else: + */ + goto __pyx_L15; + } + + /* "View.MemoryView":855 + * start = shape - 1 + * else: + * start = 0 # <<<<<<<<<<<<<< + * + * if have_stop: + */ + /*else*/ { + __pyx_v_start = 0; + } + __pyx_L15:; + } + __pyx_L11:; + + /* "View.MemoryView":857 + * start = 0 + * + * if have_stop: # <<<<<<<<<<<<<< + * if stop < 0: + * stop += shape + */ + __pyx_t_2 = (__pyx_v_have_stop != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":858 + * + * if have_stop: + * if stop < 0: # <<<<<<<<<<<<<< + * stop += shape + * if stop < 0: + */ + __pyx_t_2 = ((__pyx_v_stop < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":859 + * if have_stop: + * if stop < 0: + * stop += shape # <<<<<<<<<<<<<< + * if stop < 0: + * stop = 0 + */ + __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape); + + /* "View.MemoryView":860 + * if stop < 0: + * stop += shape + * if stop < 0: # <<<<<<<<<<<<<< + * stop = 0 + * elif stop > shape: + */ + __pyx_t_2 = ((__pyx_v_stop < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":861 + * stop += shape + * if stop < 0: + * stop = 0 # <<<<<<<<<<<<<< + * elif stop > shape: + * stop = shape + */ + __pyx_v_stop = 0; + + /* "View.MemoryView":860 + * if stop < 0: + * stop += shape + * if stop < 0: # <<<<<<<<<<<<<< + * stop = 0 + * elif stop > shape: + */ + } + + /* "View.MemoryView":858 + * + * if have_stop: + * if stop < 0: # <<<<<<<<<<<<<< + * stop += shape + * if stop < 0: + */ + goto __pyx_L17; + } + + /* "View.MemoryView":862 + * if stop < 0: + * stop = 0 + * elif stop > shape: # <<<<<<<<<<<<<< + * stop = shape + * else: + */ + __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":863 + * stop = 0 + * elif stop > shape: + * stop = shape # <<<<<<<<<<<<<< + * else: + * if negative_step: + */ + __pyx_v_stop = __pyx_v_shape; + + /* "View.MemoryView":862 + * if stop < 0: + * stop = 0 + * elif stop > shape: # <<<<<<<<<<<<<< + * stop = shape + * else: + */ + } + __pyx_L17:; + + /* "View.MemoryView":857 + * start = 0 + * + * if have_stop: # <<<<<<<<<<<<<< + * if stop < 0: + * stop += shape + */ + goto __pyx_L16; + } + + /* "View.MemoryView":865 + * stop = shape + * else: + * if negative_step: # <<<<<<<<<<<<<< + * stop = -1 + * else: + */ + /*else*/ { + __pyx_t_2 = (__pyx_v_negative_step != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":866 + * else: + * if negative_step: + * stop = -1 # <<<<<<<<<<<<<< + * else: + * stop = shape + */ + __pyx_v_stop = -1L; + + /* "View.MemoryView":865 + * stop = shape + * else: + * if negative_step: # <<<<<<<<<<<<<< + * stop = -1 + * else: + */ + goto __pyx_L19; + } + + /* "View.MemoryView":868 + * stop = -1 + * else: + * stop = shape # <<<<<<<<<<<<<< + * + * if not have_step: + */ + /*else*/ { + __pyx_v_stop = __pyx_v_shape; + } + __pyx_L19:; + } + __pyx_L16:; + + /* "View.MemoryView":870 + * stop = shape + * + * if not have_step: # <<<<<<<<<<<<<< + * step = 1 + * + */ + __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":871 + * + * if not have_step: + * step = 1 # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_step = 1; + + /* "View.MemoryView":870 + * stop = shape + * + * if not have_step: # <<<<<<<<<<<<<< + * step = 1 + * + */ + } + + /* "View.MemoryView":875 + * + * with cython.cdivision(True): + * new_shape = (stop - start) // step # <<<<<<<<<<<<<< + * + * if (stop - start) - step * new_shape: + */ + __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step); + + /* "View.MemoryView":877 + * new_shape = (stop - start) // step + * + * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< + * new_shape += 1 + * + */ + __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":878 + * + * if (stop - start) - step * new_shape: + * new_shape += 1 # <<<<<<<<<<<<<< + * + * if new_shape < 0: + */ + __pyx_v_new_shape = (__pyx_v_new_shape + 1); + + /* "View.MemoryView":877 + * new_shape = (stop - start) // step + * + * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< + * new_shape += 1 + * + */ + } + + /* "View.MemoryView":880 + * new_shape += 1 + * + * if new_shape < 0: # <<<<<<<<<<<<<< + * new_shape = 0 + * + */ + __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":881 + * + * if new_shape < 0: + * new_shape = 0 # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_new_shape = 0; + + /* "View.MemoryView":880 + * new_shape += 1 + * + * if new_shape < 0: # <<<<<<<<<<<<<< + * new_shape = 0 + * + */ + } + + /* "View.MemoryView":884 + * + * + * dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<< + * dst.shape[new_ndim] = new_shape + * dst.suboffsets[new_ndim] = suboffset + */ + (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step); + + /* "View.MemoryView":885 + * + * dst.strides[new_ndim] = stride * step + * dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<< + * dst.suboffsets[new_ndim] = suboffset + * + */ + (__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape; + + /* "View.MemoryView":886 + * dst.strides[new_ndim] = stride * step + * dst.shape[new_ndim] = new_shape + * dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<< + * + * + */ + (__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset; + } + __pyx_L3:; + + /* "View.MemoryView":889 + * + * + * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< + * dst.data += start * stride + * else: + */ + __pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":890 + * + * if suboffset_dim[0] < 0: + * dst.data += start * stride # <<<<<<<<<<<<<< + * else: + * dst.suboffsets[suboffset_dim[0]] += start * stride + */ + __pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride)); + + /* "View.MemoryView":889 + * + * + * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< + * dst.data += start * stride + * else: + */ + goto __pyx_L23; + } + + /* "View.MemoryView":892 + * dst.data += start * stride + * else: + * dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<< + * + * if suboffset >= 0: + */ + /*else*/ { + __pyx_t_3 = (__pyx_v_suboffset_dim[0]); + (__pyx_v_dst->suboffsets[__pyx_t_3]) = ((__pyx_v_dst->suboffsets[__pyx_t_3]) + (__pyx_v_start * __pyx_v_stride)); + } + __pyx_L23:; + + /* "View.MemoryView":894 + * dst.suboffsets[suboffset_dim[0]] += start * stride + * + * if suboffset >= 0: # <<<<<<<<<<<<<< + * if not is_slice: + * if new_ndim == 0: + */ + __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":895 + * + * if suboffset >= 0: + * if not is_slice: # <<<<<<<<<<<<<< + * if new_ndim == 0: + * dst.data = ( dst.data)[0] + suboffset + */ + __pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":896 + * if suboffset >= 0: + * if not is_slice: + * if new_ndim == 0: # <<<<<<<<<<<<<< + * dst.data = ( dst.data)[0] + suboffset + * else: + */ + __pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":897 + * if not is_slice: + * if new_ndim == 0: + * dst.data = ( dst.data)[0] + suboffset # <<<<<<<<<<<<<< + * else: + * _err_dim(IndexError, "All dimensions preceding dimension %d " + */ + __pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset); + + /* "View.MemoryView":896 + * if suboffset >= 0: + * if not is_slice: + * if new_ndim == 0: # <<<<<<<<<<<<<< + * dst.data = ( dst.data)[0] + suboffset + * else: + */ + goto __pyx_L26; + } + + /* "View.MemoryView":899 + * dst.data = ( dst.data)[0] + suboffset + * else: + * _err_dim(IndexError, "All dimensions preceding dimension %d " # <<<<<<<<<<<<<< + * "must be indexed and not sliced", dim) + * else: + */ + /*else*/ { + + /* "View.MemoryView":900 + * else: + * _err_dim(IndexError, "All dimensions preceding dimension %d " + * "must be indexed and not sliced", dim) # <<<<<<<<<<<<<< + * else: + * suboffset_dim[0] = new_ndim + */ + __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"All dimensions preceding dimension %d must be indexed and not sliced"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 899, __pyx_L1_error) + } + __pyx_L26:; + + /* "View.MemoryView":895 + * + * if suboffset >= 0: + * if not is_slice: # <<<<<<<<<<<<<< + * if new_ndim == 0: + * dst.data = ( dst.data)[0] + suboffset + */ + goto __pyx_L25; + } + + /* "View.MemoryView":902 + * "must be indexed and not sliced", dim) + * else: + * suboffset_dim[0] = new_ndim # <<<<<<<<<<<<<< + * + * return 0 + */ + /*else*/ { + (__pyx_v_suboffset_dim[0]) = __pyx_v_new_ndim; + } + __pyx_L25:; + + /* "View.MemoryView":894 + * dst.suboffsets[suboffset_dim[0]] += start * stride + * + * if suboffset >= 0: # <<<<<<<<<<<<<< + * if not is_slice: + * if new_ndim == 0: + */ + } + + /* "View.MemoryView":904 + * suboffset_dim[0] = new_ndim + * + * return 0 # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = 0; + goto __pyx_L0; + + /* "View.MemoryView":807 + * + * @cname('__pyx_memoryview_slice_memviewslice') + * cdef int slice_memviewslice( # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset, + */ + + /* function exit code */ + __pyx_L1_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_AddTraceback("View.MemoryView.slice_memviewslice", __pyx_clineno, __pyx_lineno, __pyx_filename); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_r = -1; + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":910 + * + * @cname('__pyx_pybuffer_index') + * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, # <<<<<<<<<<<<<< + * Py_ssize_t dim) except NULL: + * cdef Py_ssize_t shape, stride, suboffset = -1 + */ + +static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, Py_ssize_t __pyx_v_index, Py_ssize_t __pyx_v_dim) { + Py_ssize_t __pyx_v_shape; + Py_ssize_t __pyx_v_stride; + Py_ssize_t __pyx_v_suboffset; + Py_ssize_t __pyx_v_itemsize; + char *__pyx_v_resultp; + char *__pyx_r; + __Pyx_RefNannyDeclarations + Py_ssize_t __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("pybuffer_index", 0); + + /* "View.MemoryView":912 + * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, + * Py_ssize_t dim) except NULL: + * cdef Py_ssize_t shape, stride, suboffset = -1 # <<<<<<<<<<<<<< + * cdef Py_ssize_t itemsize = view.itemsize + * cdef char *resultp + */ + __pyx_v_suboffset = -1L; + + /* "View.MemoryView":913 + * Py_ssize_t dim) except NULL: + * cdef Py_ssize_t shape, stride, suboffset = -1 + * cdef Py_ssize_t itemsize = view.itemsize # <<<<<<<<<<<<<< + * cdef char *resultp + * + */ + __pyx_t_1 = __pyx_v_view->itemsize; + __pyx_v_itemsize = __pyx_t_1; + + /* "View.MemoryView":916 + * cdef char *resultp + * + * if view.ndim == 0: # <<<<<<<<<<<<<< + * shape = view.len / itemsize + * stride = itemsize + */ + __pyx_t_2 = ((__pyx_v_view->ndim == 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":917 + * + * if view.ndim == 0: + * shape = view.len / itemsize # <<<<<<<<<<<<<< + * stride = itemsize + * else: + */ + if (unlikely(__pyx_v_itemsize == 0)) { + PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero"); + __PYX_ERR(2, 917, __pyx_L1_error) + } + else if (sizeof(Py_ssize_t) == sizeof(long) && (!(((Py_ssize_t)-1) > 0)) && unlikely(__pyx_v_itemsize == (Py_ssize_t)-1) && unlikely(UNARY_NEG_WOULD_OVERFLOW(__pyx_v_view->len))) { + PyErr_SetString(PyExc_OverflowError, "value too large to perform division"); + __PYX_ERR(2, 917, __pyx_L1_error) + } + __pyx_v_shape = __Pyx_div_Py_ssize_t(__pyx_v_view->len, __pyx_v_itemsize); + + /* "View.MemoryView":918 + * if view.ndim == 0: + * shape = view.len / itemsize + * stride = itemsize # <<<<<<<<<<<<<< + * else: + * shape = view.shape[dim] + */ + __pyx_v_stride = __pyx_v_itemsize; + + /* "View.MemoryView":916 + * cdef char *resultp + * + * if view.ndim == 0: # <<<<<<<<<<<<<< + * shape = view.len / itemsize + * stride = itemsize + */ + goto __pyx_L3; + } + + /* "View.MemoryView":920 + * stride = itemsize + * else: + * shape = view.shape[dim] # <<<<<<<<<<<<<< + * stride = view.strides[dim] + * if view.suboffsets != NULL: + */ + /*else*/ { + __pyx_v_shape = (__pyx_v_view->shape[__pyx_v_dim]); + + /* "View.MemoryView":921 + * else: + * shape = view.shape[dim] + * stride = view.strides[dim] # <<<<<<<<<<<<<< + * if view.suboffsets != NULL: + * suboffset = view.suboffsets[dim] + */ + __pyx_v_stride = (__pyx_v_view->strides[__pyx_v_dim]); + + /* "View.MemoryView":922 + * shape = view.shape[dim] + * stride = view.strides[dim] + * if view.suboffsets != NULL: # <<<<<<<<<<<<<< + * suboffset = view.suboffsets[dim] + * + */ + __pyx_t_2 = ((__pyx_v_view->suboffsets != NULL) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":923 + * stride = view.strides[dim] + * if view.suboffsets != NULL: + * suboffset = view.suboffsets[dim] # <<<<<<<<<<<<<< + * + * if index < 0: + */ + __pyx_v_suboffset = (__pyx_v_view->suboffsets[__pyx_v_dim]); + + /* "View.MemoryView":922 + * shape = view.shape[dim] + * stride = view.strides[dim] + * if view.suboffsets != NULL: # <<<<<<<<<<<<<< + * suboffset = view.suboffsets[dim] + * + */ + } + } + __pyx_L3:; + + /* "View.MemoryView":925 + * suboffset = view.suboffsets[dim] + * + * if index < 0: # <<<<<<<<<<<<<< + * index += view.shape[dim] + * if index < 0: + */ + __pyx_t_2 = ((__pyx_v_index < 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":926 + * + * if index < 0: + * index += view.shape[dim] # <<<<<<<<<<<<<< + * if index < 0: + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + */ + __pyx_v_index = (__pyx_v_index + (__pyx_v_view->shape[__pyx_v_dim])); + + /* "View.MemoryView":927 + * if index < 0: + * index += view.shape[dim] + * if index < 0: # <<<<<<<<<<<<<< + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + */ + __pyx_t_2 = ((__pyx_v_index < 0) != 0); + if (unlikely(__pyx_t_2)) { + + /* "View.MemoryView":928 + * index += view.shape[dim] + * if index < 0: + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) # <<<<<<<<<<<<<< + * + * if index >= shape: + */ + __pyx_t_3 = PyInt_FromSsize_t(__pyx_v_dim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 928, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyString_Format(__pyx_kp_s_Out_of_bounds_on_buffer_access_a, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 928, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_IndexError, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 928, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 928, __pyx_L1_error) + + /* "View.MemoryView":927 + * if index < 0: + * index += view.shape[dim] + * if index < 0: # <<<<<<<<<<<<<< + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + */ + } + + /* "View.MemoryView":925 + * suboffset = view.suboffsets[dim] + * + * if index < 0: # <<<<<<<<<<<<<< + * index += view.shape[dim] + * if index < 0: + */ + } + + /* "View.MemoryView":930 + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + * if index >= shape: # <<<<<<<<<<<<<< + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + */ + __pyx_t_2 = ((__pyx_v_index >= __pyx_v_shape) != 0); + if (unlikely(__pyx_t_2)) { + + /* "View.MemoryView":931 + * + * if index >= shape: + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) # <<<<<<<<<<<<<< + * + * resultp = bufp + index * stride + */ + __pyx_t_3 = PyInt_FromSsize_t(__pyx_v_dim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 931, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = __Pyx_PyString_Format(__pyx_kp_s_Out_of_bounds_on_buffer_access_a, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 931, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_IndexError, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 931, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 931, __pyx_L1_error) + + /* "View.MemoryView":930 + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + * if index >= shape: # <<<<<<<<<<<<<< + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + */ + } + + /* "View.MemoryView":933 + * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) + * + * resultp = bufp + index * stride # <<<<<<<<<<<<<< + * if suboffset >= 0: + * resultp = ( resultp)[0] + suboffset + */ + __pyx_v_resultp = (__pyx_v_bufp + (__pyx_v_index * __pyx_v_stride)); + + /* "View.MemoryView":934 + * + * resultp = bufp + index * stride + * if suboffset >= 0: # <<<<<<<<<<<<<< + * resultp = ( resultp)[0] + suboffset + * + */ + __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":935 + * resultp = bufp + index * stride + * if suboffset >= 0: + * resultp = ( resultp)[0] + suboffset # <<<<<<<<<<<<<< + * + * return resultp + */ + __pyx_v_resultp = ((((char **)__pyx_v_resultp)[0]) + __pyx_v_suboffset); + + /* "View.MemoryView":934 + * + * resultp = bufp + index * stride + * if suboffset >= 0: # <<<<<<<<<<<<<< + * resultp = ( resultp)[0] + suboffset + * + */ + } + + /* "View.MemoryView":937 + * resultp = ( resultp)[0] + suboffset + * + * return resultp # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = __pyx_v_resultp; + goto __pyx_L0; + + /* "View.MemoryView":910 + * + * @cname('__pyx_pybuffer_index') + * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, # <<<<<<<<<<<<<< + * Py_ssize_t dim) except NULL: + * cdef Py_ssize_t shape, stride, suboffset = -1 + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_AddTraceback("View.MemoryView.pybuffer_index", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":943 + * + * @cname('__pyx_memslice_transpose') + * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: # <<<<<<<<<<<<<< + * cdef int ndim = memslice.memview.view.ndim + * + */ + +static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { + int __pyx_v_ndim; + Py_ssize_t *__pyx_v_shape; + Py_ssize_t *__pyx_v_strides; + int __pyx_v_i; + int __pyx_v_j; + int __pyx_r; + int __pyx_t_1; + Py_ssize_t *__pyx_t_2; + long __pyx_t_3; + long __pyx_t_4; + Py_ssize_t __pyx_t_5; + Py_ssize_t __pyx_t_6; + int __pyx_t_7; + int __pyx_t_8; + int __pyx_t_9; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + + /* "View.MemoryView":944 + * @cname('__pyx_memslice_transpose') + * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: + * cdef int ndim = memslice.memview.view.ndim # <<<<<<<<<<<<<< + * + * cdef Py_ssize_t *shape = memslice.shape + */ + __pyx_t_1 = __pyx_v_memslice->memview->view.ndim; + __pyx_v_ndim = __pyx_t_1; + + /* "View.MemoryView":946 + * cdef int ndim = memslice.memview.view.ndim + * + * cdef Py_ssize_t *shape = memslice.shape # <<<<<<<<<<<<<< + * cdef Py_ssize_t *strides = memslice.strides + * + */ + __pyx_t_2 = __pyx_v_memslice->shape; + __pyx_v_shape = __pyx_t_2; + + /* "View.MemoryView":947 + * + * cdef Py_ssize_t *shape = memslice.shape + * cdef Py_ssize_t *strides = memslice.strides # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = __pyx_v_memslice->strides; + __pyx_v_strides = __pyx_t_2; + + /* "View.MemoryView":951 + * + * cdef int i, j + * for i in range(ndim / 2): # <<<<<<<<<<<<<< + * j = ndim - 1 - i + * strides[i], strides[j] = strides[j], strides[i] + */ + __pyx_t_3 = __Pyx_div_long(__pyx_v_ndim, 2); + __pyx_t_4 = __pyx_t_3; + for (__pyx_t_1 = 0; __pyx_t_1 < __pyx_t_4; __pyx_t_1+=1) { + __pyx_v_i = __pyx_t_1; + + /* "View.MemoryView":952 + * cdef int i, j + * for i in range(ndim / 2): + * j = ndim - 1 - i # <<<<<<<<<<<<<< + * strides[i], strides[j] = strides[j], strides[i] + * shape[i], shape[j] = shape[j], shape[i] + */ + __pyx_v_j = ((__pyx_v_ndim - 1) - __pyx_v_i); + + /* "View.MemoryView":953 + * for i in range(ndim / 2): + * j = ndim - 1 - i + * strides[i], strides[j] = strides[j], strides[i] # <<<<<<<<<<<<<< + * shape[i], shape[j] = shape[j], shape[i] + * + */ + __pyx_t_5 = (__pyx_v_strides[__pyx_v_j]); + __pyx_t_6 = (__pyx_v_strides[__pyx_v_i]); + (__pyx_v_strides[__pyx_v_i]) = __pyx_t_5; + (__pyx_v_strides[__pyx_v_j]) = __pyx_t_6; + + /* "View.MemoryView":954 + * j = ndim - 1 - i + * strides[i], strides[j] = strides[j], strides[i] + * shape[i], shape[j] = shape[j], shape[i] # <<<<<<<<<<<<<< + * + * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: + */ + __pyx_t_6 = (__pyx_v_shape[__pyx_v_j]); + __pyx_t_5 = (__pyx_v_shape[__pyx_v_i]); + (__pyx_v_shape[__pyx_v_i]) = __pyx_t_6; + (__pyx_v_shape[__pyx_v_j]) = __pyx_t_5; + + /* "View.MemoryView":956 + * shape[i], shape[j] = shape[j], shape[i] + * + * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: # <<<<<<<<<<<<<< + * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") + * + */ + __pyx_t_8 = (((__pyx_v_memslice->suboffsets[__pyx_v_i]) >= 0) != 0); + if (!__pyx_t_8) { + } else { + __pyx_t_7 = __pyx_t_8; + goto __pyx_L6_bool_binop_done; + } + __pyx_t_8 = (((__pyx_v_memslice->suboffsets[__pyx_v_j]) >= 0) != 0); + __pyx_t_7 = __pyx_t_8; + __pyx_L6_bool_binop_done:; + if (__pyx_t_7) { + + /* "View.MemoryView":957 + * + * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: + * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") # <<<<<<<<<<<<<< + * + * return 1 + */ + __pyx_t_9 = __pyx_memoryview_err(__pyx_builtin_ValueError, ((char *)"Cannot transpose memoryview with indirect dimensions")); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(2, 957, __pyx_L1_error) + + /* "View.MemoryView":956 + * shape[i], shape[j] = shape[j], shape[i] + * + * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: # <<<<<<<<<<<<<< + * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") + * + */ + } + } + + /* "View.MemoryView":959 + * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") + * + * return 1 # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = 1; + goto __pyx_L0; + + /* "View.MemoryView":943 + * + * @cname('__pyx_memslice_transpose') + * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: # <<<<<<<<<<<<<< + * cdef int ndim = memslice.memview.view.ndim + * + */ + + /* function exit code */ + __pyx_L1_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_AddTraceback("View.MemoryView.transpose_memslice", __pyx_clineno, __pyx_lineno, __pyx_filename); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_r = 0; + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":976 + * cdef int (*to_dtype_func)(char *, object) except 0 + * + * def __dealloc__(self): # <<<<<<<<<<<<<< + * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) + * + */ + +/* Python wrapper */ +static void __pyx_memoryviewslice___dealloc__(PyObject *__pyx_v_self); /*proto*/ +static void __pyx_memoryviewslice___dealloc__(PyObject *__pyx_v_self) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); + __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__dealloc__", 0); + + /* "View.MemoryView":977 + * + * def __dealloc__(self): + * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) # <<<<<<<<<<<<<< + * + * cdef convert_item_to_object(self, char *itemp): + */ + __PYX_XDEC_MEMVIEW((&__pyx_v_self->from_slice), 1); + + /* "View.MemoryView":976 + * cdef int (*to_dtype_func)(char *, object) except 0 + * + * def __dealloc__(self): # <<<<<<<<<<<<<< + * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) + * + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "View.MemoryView":979 + * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) + * + * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< + * if self.to_object_func != NULL: + * return self.to_object_func(itemp) + */ + +static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("convert_item_to_object", 0); + + /* "View.MemoryView":980 + * + * cdef convert_item_to_object(self, char *itemp): + * if self.to_object_func != NULL: # <<<<<<<<<<<<<< + * return self.to_object_func(itemp) + * else: + */ + __pyx_t_1 = ((__pyx_v_self->to_object_func != NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":981 + * cdef convert_item_to_object(self, char *itemp): + * if self.to_object_func != NULL: + * return self.to_object_func(itemp) # <<<<<<<<<<<<<< + * else: + * return memoryview.convert_item_to_object(self, itemp) + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __pyx_v_self->to_object_func(__pyx_v_itemp); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 981, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + + /* "View.MemoryView":980 + * + * cdef convert_item_to_object(self, char *itemp): + * if self.to_object_func != NULL: # <<<<<<<<<<<<<< + * return self.to_object_func(itemp) + * else: + */ + } + + /* "View.MemoryView":983 + * return self.to_object_func(itemp) + * else: + * return memoryview.convert_item_to_object(self, itemp) # <<<<<<<<<<<<<< + * + * cdef assign_item_from_object(self, char *itemp, object value): + */ + /*else*/ { + __Pyx_XDECREF(__pyx_r); + __pyx_t_2 = __pyx_memoryview_convert_item_to_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 983, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_r = __pyx_t_2; + __pyx_t_2 = 0; + goto __pyx_L0; + } + + /* "View.MemoryView":979 + * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) + * + * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< + * if self.to_object_func != NULL: + * return self.to_object_func(itemp) + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_AddTraceback("View.MemoryView._memoryviewslice.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":985 + * return memoryview.convert_item_to_object(self, itemp) + * + * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< + * if self.to_dtype_func != NULL: + * self.to_dtype_func(itemp, value) + */ + +static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("assign_item_from_object", 0); + + /* "View.MemoryView":986 + * + * cdef assign_item_from_object(self, char *itemp, object value): + * if self.to_dtype_func != NULL: # <<<<<<<<<<<<<< + * self.to_dtype_func(itemp, value) + * else: + */ + __pyx_t_1 = ((__pyx_v_self->to_dtype_func != NULL) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":987 + * cdef assign_item_from_object(self, char *itemp, object value): + * if self.to_dtype_func != NULL: + * self.to_dtype_func(itemp, value) # <<<<<<<<<<<<<< + * else: + * memoryview.assign_item_from_object(self, itemp, value) + */ + __pyx_t_2 = __pyx_v_self->to_dtype_func(__pyx_v_itemp, __pyx_v_value); if (unlikely(__pyx_t_2 == ((int)0))) __PYX_ERR(2, 987, __pyx_L1_error) + + /* "View.MemoryView":986 + * + * cdef assign_item_from_object(self, char *itemp, object value): + * if self.to_dtype_func != NULL: # <<<<<<<<<<<<<< + * self.to_dtype_func(itemp, value) + * else: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":989 + * self.to_dtype_func(itemp, value) + * else: + * memoryview.assign_item_from_object(self, itemp, value) # <<<<<<<<<<<<<< + * + * @property + */ + /*else*/ { + __pyx_t_3 = __pyx_memoryview_assign_item_from_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 989, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + } + __pyx_L3:; + + /* "View.MemoryView":985 + * return memoryview.convert_item_to_object(self, itemp) + * + * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< + * if self.to_dtype_func != NULL: + * self.to_dtype_func(itemp, value) + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView._memoryviewslice.assign_item_from_object", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":992 + * + * @property + * def base(self): # <<<<<<<<<<<<<< + * return self.from_object + * + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(PyObject *__pyx_v_self); /*proto*/ +static PyObject *__pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(PyObject *__pyx_v_self) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); + __pyx_r = __pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__get__", 0); + + /* "View.MemoryView":993 + * @property + * def base(self): + * return self.from_object # <<<<<<<<<<<<<< + * + * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v_self->from_object); + __pyx_r = __pyx_v_self->from_object; + goto __pyx_L0; + + /* "View.MemoryView":992 + * + * @property + * def base(self): # <<<<<<<<<<<<<< + * return self.from_object + * + */ + + /* function exit code */ + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_memoryviewslice_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ +static PyObject *__pyx_pw___pyx_memoryviewslice_1__reduce_cython__(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__reduce_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_memoryviewslice___reduce_cython__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__reduce_cython__", 0); + + /* "(tree fragment)":2 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__33, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 2, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 2, __pyx_L1_error) + + /* "(tree fragment)":1 + * def __reduce_cython__(self): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView._memoryviewslice.__reduce_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":3 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + +/* Python wrapper */ +static PyObject *__pyx_pw___pyx_memoryviewslice_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state); /*proto*/ +static PyObject *__pyx_pw___pyx_memoryviewslice_3__setstate_cython__(PyObject *__pyx_v_self, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__setstate_cython__ (wrapper)", 0); + __pyx_r = __pyx_pf___pyx_memoryviewslice_2__setstate_cython__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self), ((PyObject *)__pyx_v___pyx_state)); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__setstate_cython__", 0); + + /* "(tree fragment)":4 + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + */ + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__34, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 4, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 4, __pyx_L1_error) + + /* "(tree fragment)":3 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView._memoryviewslice.__setstate_cython__", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":999 + * + * @cname('__pyx_memoryview_fromslice') + * cdef memoryview_fromslice(__Pyx_memviewslice memviewslice, # <<<<<<<<<<<<<< + * int ndim, + * object (*to_object_func)(char *), + */ + +static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewslice, int __pyx_v_ndim, PyObject *(*__pyx_v_to_object_func)(char *), int (*__pyx_v_to_dtype_func)(char *, PyObject *), int __pyx_v_dtype_is_object) { + struct __pyx_memoryviewslice_obj *__pyx_v_result = 0; + Py_ssize_t __pyx_v_suboffset; + PyObject *__pyx_v_length = NULL; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + __Pyx_TypeInfo *__pyx_t_4; + Py_buffer __pyx_t_5; + Py_ssize_t *__pyx_t_6; + Py_ssize_t *__pyx_t_7; + Py_ssize_t *__pyx_t_8; + Py_ssize_t __pyx_t_9; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("memoryview_fromslice", 0); + + /* "View.MemoryView":1007 + * cdef _memoryviewslice result + * + * if memviewslice.memview == Py_None: # <<<<<<<<<<<<<< + * return None + * + */ + __pyx_t_1 = ((((PyObject *)__pyx_v_memviewslice.memview) == Py_None) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1008 + * + * if memviewslice.memview == Py_None: + * return None # <<<<<<<<<<<<<< + * + * + */ + __Pyx_XDECREF(__pyx_r); + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + + /* "View.MemoryView":1007 + * cdef _memoryviewslice result + * + * if memviewslice.memview == Py_None: # <<<<<<<<<<<<<< + * return None + * + */ + } + + /* "View.MemoryView":1013 + * + * + * result = _memoryviewslice(None, 0, dtype_is_object) # <<<<<<<<<<<<<< + * + * result.from_slice = memviewslice + */ + __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1013, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1013, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(Py_None); + __Pyx_GIVEREF(Py_None); + PyTuple_SET_ITEM(__pyx_t_3, 0, Py_None); + __Pyx_INCREF(__pyx_int_0); + __Pyx_GIVEREF(__pyx_int_0); + PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_int_0); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); + __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryviewslice_type), __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1013, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_result = ((struct __pyx_memoryviewslice_obj *)__pyx_t_2); + __pyx_t_2 = 0; + + /* "View.MemoryView":1015 + * result = _memoryviewslice(None, 0, dtype_is_object) + * + * result.from_slice = memviewslice # <<<<<<<<<<<<<< + * __PYX_INC_MEMVIEW(&memviewslice, 1) + * + */ + __pyx_v_result->from_slice = __pyx_v_memviewslice; + + /* "View.MemoryView":1016 + * + * result.from_slice = memviewslice + * __PYX_INC_MEMVIEW(&memviewslice, 1) # <<<<<<<<<<<<<< + * + * result.from_object = ( memviewslice.memview).base + */ + __PYX_INC_MEMVIEW((&__pyx_v_memviewslice), 1); + + /* "View.MemoryView":1018 + * __PYX_INC_MEMVIEW(&memviewslice, 1) + * + * result.from_object = ( memviewslice.memview).base # <<<<<<<<<<<<<< + * result.typeinfo = memviewslice.memview.typeinfo + * + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_memviewslice.memview), __pyx_n_s_base); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1018, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GIVEREF(__pyx_t_2); + __Pyx_GOTREF(__pyx_v_result->from_object); + __Pyx_DECREF(__pyx_v_result->from_object); + __pyx_v_result->from_object = __pyx_t_2; + __pyx_t_2 = 0; + + /* "View.MemoryView":1019 + * + * result.from_object = ( memviewslice.memview).base + * result.typeinfo = memviewslice.memview.typeinfo # <<<<<<<<<<<<<< + * + * result.view = memviewslice.memview.view + */ + __pyx_t_4 = __pyx_v_memviewslice.memview->typeinfo; + __pyx_v_result->__pyx_base.typeinfo = __pyx_t_4; + + /* "View.MemoryView":1021 + * result.typeinfo = memviewslice.memview.typeinfo + * + * result.view = memviewslice.memview.view # <<<<<<<<<<<<<< + * result.view.buf = memviewslice.data + * result.view.ndim = ndim + */ + __pyx_t_5 = __pyx_v_memviewslice.memview->view; + __pyx_v_result->__pyx_base.view = __pyx_t_5; + + /* "View.MemoryView":1022 + * + * result.view = memviewslice.memview.view + * result.view.buf = memviewslice.data # <<<<<<<<<<<<<< + * result.view.ndim = ndim + * (<__pyx_buffer *> &result.view).obj = Py_None + */ + __pyx_v_result->__pyx_base.view.buf = ((void *)__pyx_v_memviewslice.data); + + /* "View.MemoryView":1023 + * result.view = memviewslice.memview.view + * result.view.buf = memviewslice.data + * result.view.ndim = ndim # <<<<<<<<<<<<<< + * (<__pyx_buffer *> &result.view).obj = Py_None + * Py_INCREF(Py_None) + */ + __pyx_v_result->__pyx_base.view.ndim = __pyx_v_ndim; + + /* "View.MemoryView":1024 + * result.view.buf = memviewslice.data + * result.view.ndim = ndim + * (<__pyx_buffer *> &result.view).obj = Py_None # <<<<<<<<<<<<<< + * Py_INCREF(Py_None) + * + */ + ((Py_buffer *)(&__pyx_v_result->__pyx_base.view))->obj = Py_None; + + /* "View.MemoryView":1025 + * result.view.ndim = ndim + * (<__pyx_buffer *> &result.view).obj = Py_None + * Py_INCREF(Py_None) # <<<<<<<<<<<<<< + * + * if (memviewslice.memview).flags & PyBUF_WRITABLE: + */ + Py_INCREF(Py_None); + + /* "View.MemoryView":1027 + * Py_INCREF(Py_None) + * + * if (memviewslice.memview).flags & PyBUF_WRITABLE: # <<<<<<<<<<<<<< + * result.flags = PyBUF_RECORDS + * else: + */ + __pyx_t_1 = ((((struct __pyx_memoryview_obj *)__pyx_v_memviewslice.memview)->flags & PyBUF_WRITABLE) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1028 + * + * if (memviewslice.memview).flags & PyBUF_WRITABLE: + * result.flags = PyBUF_RECORDS # <<<<<<<<<<<<<< + * else: + * result.flags = PyBUF_RECORDS_RO + */ + __pyx_v_result->__pyx_base.flags = PyBUF_RECORDS; + + /* "View.MemoryView":1027 + * Py_INCREF(Py_None) + * + * if (memviewslice.memview).flags & PyBUF_WRITABLE: # <<<<<<<<<<<<<< + * result.flags = PyBUF_RECORDS + * else: + */ + goto __pyx_L4; + } + + /* "View.MemoryView":1030 + * result.flags = PyBUF_RECORDS + * else: + * result.flags = PyBUF_RECORDS_RO # <<<<<<<<<<<<<< + * + * result.view.shape = result.from_slice.shape + */ + /*else*/ { + __pyx_v_result->__pyx_base.flags = PyBUF_RECORDS_RO; + } + __pyx_L4:; + + /* "View.MemoryView":1032 + * result.flags = PyBUF_RECORDS_RO + * + * result.view.shape = result.from_slice.shape # <<<<<<<<<<<<<< + * result.view.strides = result.from_slice.strides + * + */ + __pyx_v_result->__pyx_base.view.shape = ((Py_ssize_t *)__pyx_v_result->from_slice.shape); + + /* "View.MemoryView":1033 + * + * result.view.shape = result.from_slice.shape + * result.view.strides = result.from_slice.strides # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_result->__pyx_base.view.strides = ((Py_ssize_t *)__pyx_v_result->from_slice.strides); + + /* "View.MemoryView":1036 + * + * + * result.view.suboffsets = NULL # <<<<<<<<<<<<<< + * for suboffset in result.from_slice.suboffsets[:ndim]: + * if suboffset >= 0: + */ + __pyx_v_result->__pyx_base.view.suboffsets = NULL; + + /* "View.MemoryView":1037 + * + * result.view.suboffsets = NULL + * for suboffset in result.from_slice.suboffsets[:ndim]: # <<<<<<<<<<<<<< + * if suboffset >= 0: + * result.view.suboffsets = result.from_slice.suboffsets + */ + __pyx_t_7 = (__pyx_v_result->from_slice.suboffsets + __pyx_v_ndim); + for (__pyx_t_8 = __pyx_v_result->from_slice.suboffsets; __pyx_t_8 < __pyx_t_7; __pyx_t_8++) { + __pyx_t_6 = __pyx_t_8; + __pyx_v_suboffset = (__pyx_t_6[0]); + + /* "View.MemoryView":1038 + * result.view.suboffsets = NULL + * for suboffset in result.from_slice.suboffsets[:ndim]: + * if suboffset >= 0: # <<<<<<<<<<<<<< + * result.view.suboffsets = result.from_slice.suboffsets + * break + */ + __pyx_t_1 = ((__pyx_v_suboffset >= 0) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1039 + * for suboffset in result.from_slice.suboffsets[:ndim]: + * if suboffset >= 0: + * result.view.suboffsets = result.from_slice.suboffsets # <<<<<<<<<<<<<< + * break + * + */ + __pyx_v_result->__pyx_base.view.suboffsets = ((Py_ssize_t *)__pyx_v_result->from_slice.suboffsets); + + /* "View.MemoryView":1040 + * if suboffset >= 0: + * result.view.suboffsets = result.from_slice.suboffsets + * break # <<<<<<<<<<<<<< + * + * result.view.len = result.view.itemsize + */ + goto __pyx_L6_break; + + /* "View.MemoryView":1038 + * result.view.suboffsets = NULL + * for suboffset in result.from_slice.suboffsets[:ndim]: + * if suboffset >= 0: # <<<<<<<<<<<<<< + * result.view.suboffsets = result.from_slice.suboffsets + * break + */ + } + } + __pyx_L6_break:; + + /* "View.MemoryView":1042 + * break + * + * result.view.len = result.view.itemsize # <<<<<<<<<<<<<< + * for length in result.view.shape[:ndim]: + * result.view.len *= length + */ + __pyx_t_9 = __pyx_v_result->__pyx_base.view.itemsize; + __pyx_v_result->__pyx_base.view.len = __pyx_t_9; + + /* "View.MemoryView":1043 + * + * result.view.len = result.view.itemsize + * for length in result.view.shape[:ndim]: # <<<<<<<<<<<<<< + * result.view.len *= length + * + */ + __pyx_t_7 = (__pyx_v_result->__pyx_base.view.shape + __pyx_v_ndim); + for (__pyx_t_8 = __pyx_v_result->__pyx_base.view.shape; __pyx_t_8 < __pyx_t_7; __pyx_t_8++) { + __pyx_t_6 = __pyx_t_8; + __pyx_t_2 = PyInt_FromSsize_t((__pyx_t_6[0])); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1043, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_XDECREF_SET(__pyx_v_length, __pyx_t_2); + __pyx_t_2 = 0; + + /* "View.MemoryView":1044 + * result.view.len = result.view.itemsize + * for length in result.view.shape[:ndim]: + * result.view.len *= length # <<<<<<<<<<<<<< + * + * result.to_object_func = to_object_func + */ + __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_result->__pyx_base.view.len); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1044, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyNumber_InPlaceMultiply(__pyx_t_2, __pyx_v_length); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1044, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_9 = __Pyx_PyIndex_AsSsize_t(__pyx_t_3); if (unlikely((__pyx_t_9 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(2, 1044, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __pyx_v_result->__pyx_base.view.len = __pyx_t_9; + } + + /* "View.MemoryView":1046 + * result.view.len *= length + * + * result.to_object_func = to_object_func # <<<<<<<<<<<<<< + * result.to_dtype_func = to_dtype_func + * + */ + __pyx_v_result->to_object_func = __pyx_v_to_object_func; + + /* "View.MemoryView":1047 + * + * result.to_object_func = to_object_func + * result.to_dtype_func = to_dtype_func # <<<<<<<<<<<<<< + * + * return result + */ + __pyx_v_result->to_dtype_func = __pyx_v_to_dtype_func; + + /* "View.MemoryView":1049 + * result.to_dtype_func = to_dtype_func + * + * return result # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_get_slice_from_memoryview') + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(((PyObject *)__pyx_v_result)); + __pyx_r = ((PyObject *)__pyx_v_result); + goto __pyx_L0; + + /* "View.MemoryView":999 + * + * @cname('__pyx_memoryview_fromslice') + * cdef memoryview_fromslice(__Pyx_memviewslice memviewslice, # <<<<<<<<<<<<<< + * int ndim, + * object (*to_object_func)(char *), + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.memoryview_fromslice", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_result); + __Pyx_XDECREF(__pyx_v_length); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":1052 + * + * @cname('__pyx_memoryview_get_slice_from_memoryview') + * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *mslice) except NULL: + * cdef _memoryviewslice obj + */ + +static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_mslice) { + struct __pyx_memoryviewslice_obj *__pyx_v_obj = 0; + __Pyx_memviewslice *__pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *__pyx_t_3 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("get_slice_from_memview", 0); + + /* "View.MemoryView":1055 + * __Pyx_memviewslice *mslice) except NULL: + * cdef _memoryviewslice obj + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * obj = memview + * return &obj.from_slice + */ + __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1056 + * cdef _memoryviewslice obj + * if isinstance(memview, _memoryviewslice): + * obj = memview # <<<<<<<<<<<<<< + * return &obj.from_slice + * else: + */ + if (!(likely(((((PyObject *)__pyx_v_memview)) == Py_None) || likely(__Pyx_TypeTest(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type))))) __PYX_ERR(2, 1056, __pyx_L1_error) + __pyx_t_3 = ((PyObject *)__pyx_v_memview); + __Pyx_INCREF(__pyx_t_3); + __pyx_v_obj = ((struct __pyx_memoryviewslice_obj *)__pyx_t_3); + __pyx_t_3 = 0; + + /* "View.MemoryView":1057 + * if isinstance(memview, _memoryviewslice): + * obj = memview + * return &obj.from_slice # <<<<<<<<<<<<<< + * else: + * slice_copy(memview, mslice) + */ + __pyx_r = (&__pyx_v_obj->from_slice); + goto __pyx_L0; + + /* "View.MemoryView":1055 + * __Pyx_memviewslice *mslice) except NULL: + * cdef _memoryviewslice obj + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * obj = memview + * return &obj.from_slice + */ + } + + /* "View.MemoryView":1059 + * return &obj.from_slice + * else: + * slice_copy(memview, mslice) # <<<<<<<<<<<<<< + * return mslice + * + */ + /*else*/ { + __pyx_memoryview_slice_copy(__pyx_v_memview, __pyx_v_mslice); + + /* "View.MemoryView":1060 + * else: + * slice_copy(memview, mslice) + * return mslice # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_slice_copy') + */ + __pyx_r = __pyx_v_mslice; + goto __pyx_L0; + } + + /* "View.MemoryView":1052 + * + * @cname('__pyx_memoryview_get_slice_from_memoryview') + * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *mslice) except NULL: + * cdef _memoryviewslice obj + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_3); + __Pyx_AddTraceback("View.MemoryView.get_slice_from_memview", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF((PyObject *)__pyx_v_obj); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":1063 + * + * @cname('__pyx_memoryview_slice_copy') + * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< + * cdef int dim + * cdef (Py_ssize_t*) shape, strides, suboffsets + */ + +static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_dst) { + int __pyx_v_dim; + Py_ssize_t *__pyx_v_shape; + Py_ssize_t *__pyx_v_strides; + Py_ssize_t *__pyx_v_suboffsets; + __Pyx_RefNannyDeclarations + Py_ssize_t *__pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + Py_ssize_t __pyx_t_5; + __Pyx_RefNannySetupContext("slice_copy", 0); + + /* "View.MemoryView":1067 + * cdef (Py_ssize_t*) shape, strides, suboffsets + * + * shape = memview.view.shape # <<<<<<<<<<<<<< + * strides = memview.view.strides + * suboffsets = memview.view.suboffsets + */ + __pyx_t_1 = __pyx_v_memview->view.shape; + __pyx_v_shape = __pyx_t_1; + + /* "View.MemoryView":1068 + * + * shape = memview.view.shape + * strides = memview.view.strides # <<<<<<<<<<<<<< + * suboffsets = memview.view.suboffsets + * + */ + __pyx_t_1 = __pyx_v_memview->view.strides; + __pyx_v_strides = __pyx_t_1; + + /* "View.MemoryView":1069 + * shape = memview.view.shape + * strides = memview.view.strides + * suboffsets = memview.view.suboffsets # <<<<<<<<<<<<<< + * + * dst.memview = <__pyx_memoryview *> memview + */ + __pyx_t_1 = __pyx_v_memview->view.suboffsets; + __pyx_v_suboffsets = __pyx_t_1; + + /* "View.MemoryView":1071 + * suboffsets = memview.view.suboffsets + * + * dst.memview = <__pyx_memoryview *> memview # <<<<<<<<<<<<<< + * dst.data = memview.view.buf + * + */ + __pyx_v_dst->memview = ((struct __pyx_memoryview_obj *)__pyx_v_memview); + + /* "View.MemoryView":1072 + * + * dst.memview = <__pyx_memoryview *> memview + * dst.data = memview.view.buf # <<<<<<<<<<<<<< + * + * for dim in range(memview.view.ndim): + */ + __pyx_v_dst->data = ((char *)__pyx_v_memview->view.buf); + + /* "View.MemoryView":1074 + * dst.data = memview.view.buf + * + * for dim in range(memview.view.ndim): # <<<<<<<<<<<<<< + * dst.shape[dim] = shape[dim] + * dst.strides[dim] = strides[dim] + */ + __pyx_t_2 = __pyx_v_memview->view.ndim; + __pyx_t_3 = __pyx_t_2; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_dim = __pyx_t_4; + + /* "View.MemoryView":1075 + * + * for dim in range(memview.view.ndim): + * dst.shape[dim] = shape[dim] # <<<<<<<<<<<<<< + * dst.strides[dim] = strides[dim] + * dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1 + */ + (__pyx_v_dst->shape[__pyx_v_dim]) = (__pyx_v_shape[__pyx_v_dim]); + + /* "View.MemoryView":1076 + * for dim in range(memview.view.ndim): + * dst.shape[dim] = shape[dim] + * dst.strides[dim] = strides[dim] # <<<<<<<<<<<<<< + * dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1 + * + */ + (__pyx_v_dst->strides[__pyx_v_dim]) = (__pyx_v_strides[__pyx_v_dim]); + + /* "View.MemoryView":1077 + * dst.shape[dim] = shape[dim] + * dst.strides[dim] = strides[dim] + * dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1 # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_copy_object') + */ + if ((__pyx_v_suboffsets != 0)) { + __pyx_t_5 = (__pyx_v_suboffsets[__pyx_v_dim]); + } else { + __pyx_t_5 = -1L; + } + (__pyx_v_dst->suboffsets[__pyx_v_dim]) = __pyx_t_5; + } + + /* "View.MemoryView":1063 + * + * @cname('__pyx_memoryview_slice_copy') + * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< + * cdef int dim + * cdef (Py_ssize_t*) shape, strides, suboffsets + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "View.MemoryView":1080 + * + * @cname('__pyx_memoryview_copy_object') + * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< + * "Create a new memoryview object" + * cdef __Pyx_memviewslice memviewslice + */ + +static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx_v_memview) { + __Pyx_memviewslice __pyx_v_memviewslice; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("memoryview_copy", 0); + + /* "View.MemoryView":1083 + * "Create a new memoryview object" + * cdef __Pyx_memviewslice memviewslice + * slice_copy(memview, &memviewslice) # <<<<<<<<<<<<<< + * return memoryview_copy_from_slice(memview, &memviewslice) + * + */ + __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_memviewslice)); + + /* "View.MemoryView":1084 + * cdef __Pyx_memviewslice memviewslice + * slice_copy(memview, &memviewslice) + * return memoryview_copy_from_slice(memview, &memviewslice) # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_copy_object_from_slice') + */ + __Pyx_XDECREF(__pyx_r); + __pyx_t_1 = __pyx_memoryview_copy_object_from_slice(__pyx_v_memview, (&__pyx_v_memviewslice)); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 1084, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_r = __pyx_t_1; + __pyx_t_1 = 0; + goto __pyx_L0; + + /* "View.MemoryView":1080 + * + * @cname('__pyx_memoryview_copy_object') + * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< + * "Create a new memoryview object" + * cdef __Pyx_memviewslice memviewslice + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_AddTraceback("View.MemoryView.memoryview_copy", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":1087 + * + * @cname('__pyx_memoryview_copy_object_from_slice') + * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< + * """ + * Create a new memoryview object from a given memoryview object and slice. + */ + +static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_memviewslice) { + PyObject *(*__pyx_v_to_object_func)(char *); + int (*__pyx_v_to_dtype_func)(char *, PyObject *); + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + int __pyx_t_2; + PyObject *(*__pyx_t_3)(char *); + int (*__pyx_t_4)(char *, PyObject *); + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("memoryview_copy_from_slice", 0); + + /* "View.MemoryView":1094 + * cdef int (*to_dtype_func)(char *, object) except 0 + * + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * to_object_func = (<_memoryviewslice> memview).to_object_func + * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func + */ + __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); + __pyx_t_2 = (__pyx_t_1 != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1095 + * + * if isinstance(memview, _memoryviewslice): + * to_object_func = (<_memoryviewslice> memview).to_object_func # <<<<<<<<<<<<<< + * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func + * else: + */ + __pyx_t_3 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_object_func; + __pyx_v_to_object_func = __pyx_t_3; + + /* "View.MemoryView":1096 + * if isinstance(memview, _memoryviewslice): + * to_object_func = (<_memoryviewslice> memview).to_object_func + * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func # <<<<<<<<<<<<<< + * else: + * to_object_func = NULL + */ + __pyx_t_4 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_dtype_func; + __pyx_v_to_dtype_func = __pyx_t_4; + + /* "View.MemoryView":1094 + * cdef int (*to_dtype_func)(char *, object) except 0 + * + * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< + * to_object_func = (<_memoryviewslice> memview).to_object_func + * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1098 + * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func + * else: + * to_object_func = NULL # <<<<<<<<<<<<<< + * to_dtype_func = NULL + * + */ + /*else*/ { + __pyx_v_to_object_func = NULL; + + /* "View.MemoryView":1099 + * else: + * to_object_func = NULL + * to_dtype_func = NULL # <<<<<<<<<<<<<< + * + * return memoryview_fromslice(memviewslice[0], memview.view.ndim, + */ + __pyx_v_to_dtype_func = NULL; + } + __pyx_L3:; + + /* "View.MemoryView":1101 + * to_dtype_func = NULL + * + * return memoryview_fromslice(memviewslice[0], memview.view.ndim, # <<<<<<<<<<<<<< + * to_object_func, to_dtype_func, + * memview.dtype_is_object) + */ + __Pyx_XDECREF(__pyx_r); + + /* "View.MemoryView":1103 + * return memoryview_fromslice(memviewslice[0], memview.view.ndim, + * to_object_func, to_dtype_func, + * memview.dtype_is_object) # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 1101, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_r = __pyx_t_5; + __pyx_t_5 = 0; + goto __pyx_L0; + + /* "View.MemoryView":1087 + * + * @cname('__pyx_memoryview_copy_object_from_slice') + * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< + * """ + * Create a new memoryview object from a given memoryview object and slice. + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.memoryview_copy_from_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "View.MemoryView":1109 + * + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< + * if arg < 0: + * return -arg + */ + +static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { + Py_ssize_t __pyx_r; + int __pyx_t_1; + + /* "View.MemoryView":1110 + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: + * if arg < 0: # <<<<<<<<<<<<<< + * return -arg + * else: + */ + __pyx_t_1 = ((__pyx_v_arg < 0) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1111 + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: + * if arg < 0: + * return -arg # <<<<<<<<<<<<<< + * else: + * return arg + */ + __pyx_r = (-__pyx_v_arg); + goto __pyx_L0; + + /* "View.MemoryView":1110 + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: + * if arg < 0: # <<<<<<<<<<<<<< + * return -arg + * else: + */ + } + + /* "View.MemoryView":1113 + * return -arg + * else: + * return arg # <<<<<<<<<<<<<< + * + * @cname('__pyx_get_best_slice_order') + */ + /*else*/ { + __pyx_r = __pyx_v_arg; + goto __pyx_L0; + } + + /* "View.MemoryView":1109 + * + * + * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< + * if arg < 0: + * return -arg + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1116 + * + * @cname('__pyx_get_best_slice_order') + * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< + * """ + * Figure out the best memory access order for a given slice. + */ + +static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) { + int __pyx_v_i; + Py_ssize_t __pyx_v_c_stride; + Py_ssize_t __pyx_v_f_stride; + char __pyx_r; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + + /* "View.MemoryView":1121 + * """ + * cdef int i + * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< + * cdef Py_ssize_t f_stride = 0 + * + */ + __pyx_v_c_stride = 0; + + /* "View.MemoryView":1122 + * cdef int i + * cdef Py_ssize_t c_stride = 0 + * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< + * + * for i in range(ndim - 1, -1, -1): + */ + __pyx_v_f_stride = 0; + + /* "View.MemoryView":1124 + * cdef Py_ssize_t f_stride = 0 + * + * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< + * if mslice.shape[i] > 1: + * c_stride = mslice.strides[i] + */ + for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { + __pyx_v_i = __pyx_t_1; + + /* "View.MemoryView":1125 + * + * for i in range(ndim - 1, -1, -1): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * c_stride = mslice.strides[i] + * break + */ + __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1126 + * for i in range(ndim - 1, -1, -1): + * if mslice.shape[i] > 1: + * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< + * break + * + */ + __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); + + /* "View.MemoryView":1127 + * if mslice.shape[i] > 1: + * c_stride = mslice.strides[i] + * break # <<<<<<<<<<<<<< + * + * for i in range(ndim): + */ + goto __pyx_L4_break; + + /* "View.MemoryView":1125 + * + * for i in range(ndim - 1, -1, -1): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * c_stride = mslice.strides[i] + * break + */ + } + } + __pyx_L4_break:; + + /* "View.MemoryView":1129 + * break + * + * for i in range(ndim): # <<<<<<<<<<<<<< + * if mslice.shape[i] > 1: + * f_stride = mslice.strides[i] + */ + __pyx_t_1 = __pyx_v_ndim; + __pyx_t_3 = __pyx_t_1; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_i = __pyx_t_4; + + /* "View.MemoryView":1130 + * + * for i in range(ndim): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * f_stride = mslice.strides[i] + * break + */ + __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1131 + * for i in range(ndim): + * if mslice.shape[i] > 1: + * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< + * break + * + */ + __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); + + /* "View.MemoryView":1132 + * if mslice.shape[i] > 1: + * f_stride = mslice.strides[i] + * break # <<<<<<<<<<<<<< + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): + */ + goto __pyx_L7_break; + + /* "View.MemoryView":1130 + * + * for i in range(ndim): + * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< + * f_stride = mslice.strides[i] + * break + */ + } + } + __pyx_L7_break:; + + /* "View.MemoryView":1134 + * break + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< + * return 'C' + * else: + */ + __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1135 + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): + * return 'C' # <<<<<<<<<<<<<< + * else: + * return 'F' + */ + __pyx_r = 'C'; + goto __pyx_L0; + + /* "View.MemoryView":1134 + * break + * + * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< + * return 'C' + * else: + */ + } + + /* "View.MemoryView":1137 + * return 'C' + * else: + * return 'F' # <<<<<<<<<<<<<< + * + * @cython.cdivision(True) + */ + /*else*/ { + __pyx_r = 'F'; + goto __pyx_L0; + } + + /* "View.MemoryView":1116 + * + * @cname('__pyx_get_best_slice_order') + * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< + * """ + * Figure out the best memory access order for a given slice. + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1140 + * + * @cython.cdivision(True) + * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< + * char *dst_data, Py_ssize_t *dst_strides, + * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, + */ + +static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) { + CYTHON_UNUSED Py_ssize_t __pyx_v_i; + CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent; + Py_ssize_t __pyx_v_dst_extent; + Py_ssize_t __pyx_v_src_stride; + Py_ssize_t __pyx_v_dst_stride; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + Py_ssize_t __pyx_t_4; + Py_ssize_t __pyx_t_5; + Py_ssize_t __pyx_t_6; + + /* "View.MemoryView":1147 + * + * cdef Py_ssize_t i + * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t dst_extent = dst_shape[0] + * cdef Py_ssize_t src_stride = src_strides[0] + */ + __pyx_v_src_extent = (__pyx_v_src_shape[0]); + + /* "View.MemoryView":1148 + * cdef Py_ssize_t i + * cdef Py_ssize_t src_extent = src_shape[0] + * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t src_stride = src_strides[0] + * cdef Py_ssize_t dst_stride = dst_strides[0] + */ + __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); + + /* "View.MemoryView":1149 + * cdef Py_ssize_t src_extent = src_shape[0] + * cdef Py_ssize_t dst_extent = dst_shape[0] + * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t dst_stride = dst_strides[0] + * + */ + __pyx_v_src_stride = (__pyx_v_src_strides[0]); + + /* "View.MemoryView":1150 + * cdef Py_ssize_t dst_extent = dst_shape[0] + * cdef Py_ssize_t src_stride = src_strides[0] + * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< + * + * if ndim == 1: + */ + __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); + + /* "View.MemoryView":1152 + * cdef Py_ssize_t dst_stride = dst_strides[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): + */ + __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1153 + * + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) + */ + __pyx_t_2 = ((__pyx_v_src_stride > 0) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L5_bool_binop_done; + } + __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0); + if (__pyx_t_2) { + } else { + __pyx_t_1 = __pyx_t_2; + goto __pyx_L5_bool_binop_done; + } + + /* "View.MemoryView":1154 + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< + * memcpy(dst_data, src_data, itemsize * dst_extent) + * else: + */ + __pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize); + if (__pyx_t_2) { + __pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride)); + } + __pyx_t_3 = (__pyx_t_2 != 0); + __pyx_t_1 = __pyx_t_3; + __pyx_L5_bool_binop_done:; + + /* "View.MemoryView":1153 + * + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) + */ + if (__pyx_t_1) { + + /* "View.MemoryView":1155 + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< + * else: + * for i in range(dst_extent): + */ + (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent))); + + /* "View.MemoryView":1153 + * + * if ndim == 1: + * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< + * src_stride == itemsize == dst_stride): + * memcpy(dst_data, src_data, itemsize * dst_extent) + */ + goto __pyx_L4; + } + + /* "View.MemoryView":1157 + * memcpy(dst_data, src_data, itemsize * dst_extent) + * else: + * for i in range(dst_extent): # <<<<<<<<<<<<<< + * memcpy(dst_data, src_data, itemsize) + * src_data += src_stride + */ + /*else*/ { + __pyx_t_4 = __pyx_v_dst_extent; + __pyx_t_5 = __pyx_t_4; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "View.MemoryView":1158 + * else: + * for i in range(dst_extent): + * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< + * src_data += src_stride + * dst_data += dst_stride + */ + (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize)); + + /* "View.MemoryView":1159 + * for i in range(dst_extent): + * memcpy(dst_data, src_data, itemsize) + * src_data += src_stride # <<<<<<<<<<<<<< + * dst_data += dst_stride + * else: + */ + __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); + + /* "View.MemoryView":1160 + * memcpy(dst_data, src_data, itemsize) + * src_data += src_stride + * dst_data += dst_stride # <<<<<<<<<<<<<< + * else: + * for i in range(dst_extent): + */ + __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); + } + } + __pyx_L4:; + + /* "View.MemoryView":1152 + * cdef Py_ssize_t dst_stride = dst_strides[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * if (src_stride > 0 and dst_stride > 0 and + * src_stride == itemsize == dst_stride): + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1162 + * dst_data += dst_stride + * else: + * for i in range(dst_extent): # <<<<<<<<<<<<<< + * _copy_strided_to_strided(src_data, src_strides + 1, + * dst_data, dst_strides + 1, + */ + /*else*/ { + __pyx_t_4 = __pyx_v_dst_extent; + __pyx_t_5 = __pyx_t_4; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "View.MemoryView":1163 + * else: + * for i in range(dst_extent): + * _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<< + * dst_data, dst_strides + 1, + * src_shape + 1, dst_shape + 1, + */ + _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize); + + /* "View.MemoryView":1167 + * src_shape + 1, dst_shape + 1, + * ndim - 1, itemsize) + * src_data += src_stride # <<<<<<<<<<<<<< + * dst_data += dst_stride + * + */ + __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); + + /* "View.MemoryView":1168 + * ndim - 1, itemsize) + * src_data += src_stride + * dst_data += dst_stride # <<<<<<<<<<<<<< + * + * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, + */ + __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); + } + } + __pyx_L3:; + + /* "View.MemoryView":1140 + * + * @cython.cdivision(True) + * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< + * char *dst_data, Py_ssize_t *dst_strides, + * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, + */ + + /* function exit code */ +} + +/* "View.MemoryView":1170 + * dst_data += dst_stride + * + * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * int ndim, size_t itemsize) nogil: + */ + +static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) { + + /* "View.MemoryView":1173 + * __Pyx_memviewslice *dst, + * int ndim, size_t itemsize) nogil: + * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<< + * src.shape, dst.shape, ndim, itemsize) + * + */ + _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize); + + /* "View.MemoryView":1170 + * dst_data += dst_stride + * + * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *dst, + * int ndim, size_t itemsize) nogil: + */ + + /* function exit code */ +} + +/* "View.MemoryView":1177 + * + * @cname('__pyx_memoryview_slice_get_size') + * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< + * "Return the size of the memory occupied by the slice in number of bytes" + * cdef Py_ssize_t shape, size = src.memview.view.itemsize + */ + +static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) { + Py_ssize_t __pyx_v_shape; + Py_ssize_t __pyx_v_size; + Py_ssize_t __pyx_r; + Py_ssize_t __pyx_t_1; + Py_ssize_t *__pyx_t_2; + Py_ssize_t *__pyx_t_3; + Py_ssize_t *__pyx_t_4; + + /* "View.MemoryView":1179 + * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: + * "Return the size of the memory occupied by the slice in number of bytes" + * cdef Py_ssize_t shape, size = src.memview.view.itemsize # <<<<<<<<<<<<<< + * + * for shape in src.shape[:ndim]: + */ + __pyx_t_1 = __pyx_v_src->memview->view.itemsize; + __pyx_v_size = __pyx_t_1; + + /* "View.MemoryView":1181 + * cdef Py_ssize_t shape, size = src.memview.view.itemsize + * + * for shape in src.shape[:ndim]: # <<<<<<<<<<<<<< + * size *= shape + * + */ + __pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim); + for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) { + __pyx_t_2 = __pyx_t_4; + __pyx_v_shape = (__pyx_t_2[0]); + + /* "View.MemoryView":1182 + * + * for shape in src.shape[:ndim]: + * size *= shape # <<<<<<<<<<<<<< + * + * return size + */ + __pyx_v_size = (__pyx_v_size * __pyx_v_shape); + } + + /* "View.MemoryView":1184 + * size *= shape + * + * return size # <<<<<<<<<<<<<< + * + * @cname('__pyx_fill_contig_strides_array') + */ + __pyx_r = __pyx_v_size; + goto __pyx_L0; + + /* "View.MemoryView":1177 + * + * @cname('__pyx_memoryview_slice_get_size') + * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< + * "Return the size of the memory occupied by the slice in number of bytes" + * cdef Py_ssize_t shape, size = src.memview.view.itemsize + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1187 + * + * @cname('__pyx_fill_contig_strides_array') + * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< + * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, + * int ndim, char order) nogil: + */ + +static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) { + int __pyx_v_idx; + Py_ssize_t __pyx_r; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + + /* "View.MemoryView":1196 + * cdef int idx + * + * if order == 'F': # <<<<<<<<<<<<<< + * for idx in range(ndim): + * strides[idx] = stride + */ + __pyx_t_1 = ((__pyx_v_order == 'F') != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1197 + * + * if order == 'F': + * for idx in range(ndim): # <<<<<<<<<<<<<< + * strides[idx] = stride + * stride *= shape[idx] + */ + __pyx_t_2 = __pyx_v_ndim; + __pyx_t_3 = __pyx_t_2; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_idx = __pyx_t_4; + + /* "View.MemoryView":1198 + * if order == 'F': + * for idx in range(ndim): + * strides[idx] = stride # <<<<<<<<<<<<<< + * stride *= shape[idx] + * else: + */ + (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; + + /* "View.MemoryView":1199 + * for idx in range(ndim): + * strides[idx] = stride + * stride *= shape[idx] # <<<<<<<<<<<<<< + * else: + * for idx in range(ndim - 1, -1, -1): + */ + __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); + } + + /* "View.MemoryView":1196 + * cdef int idx + * + * if order == 'F': # <<<<<<<<<<<<<< + * for idx in range(ndim): + * strides[idx] = stride + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1201 + * stride *= shape[idx] + * else: + * for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< + * strides[idx] = stride + * stride *= shape[idx] + */ + /*else*/ { + for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) { + __pyx_v_idx = __pyx_t_2; + + /* "View.MemoryView":1202 + * else: + * for idx in range(ndim - 1, -1, -1): + * strides[idx] = stride # <<<<<<<<<<<<<< + * stride *= shape[idx] + * + */ + (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; + + /* "View.MemoryView":1203 + * for idx in range(ndim - 1, -1, -1): + * strides[idx] = stride + * stride *= shape[idx] # <<<<<<<<<<<<<< + * + * return stride + */ + __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); + } + } + __pyx_L3:; + + /* "View.MemoryView":1205 + * stride *= shape[idx] + * + * return stride # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_copy_data_to_temp') + */ + __pyx_r = __pyx_v_stride; + goto __pyx_L0; + + /* "View.MemoryView":1187 + * + * @cname('__pyx_fill_contig_strides_array') + * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< + * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, + * int ndim, char order) nogil: + */ + + /* function exit code */ + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1208 + * + * @cname('__pyx_memoryview_copy_data_to_temp') + * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *tmpslice, + * char order, + */ + +static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) { + int __pyx_v_i; + void *__pyx_v_result; + size_t __pyx_v_itemsize; + size_t __pyx_v_size; + void *__pyx_r; + Py_ssize_t __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + struct __pyx_memoryview_obj *__pyx_t_4; + int __pyx_t_5; + int __pyx_t_6; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + + /* "View.MemoryView":1219 + * cdef void *result + * + * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< + * cdef size_t size = slice_get_size(src, ndim) + * + */ + __pyx_t_1 = __pyx_v_src->memview->view.itemsize; + __pyx_v_itemsize = __pyx_t_1; + + /* "View.MemoryView":1220 + * + * cdef size_t itemsize = src.memview.view.itemsize + * cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<< + * + * result = malloc(size) + */ + __pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim); + + /* "View.MemoryView":1222 + * cdef size_t size = slice_get_size(src, ndim) + * + * result = malloc(size) # <<<<<<<<<<<<<< + * if not result: + * _err(MemoryError, NULL) + */ + __pyx_v_result = malloc(__pyx_v_size); + + /* "View.MemoryView":1223 + * + * result = malloc(size) + * if not result: # <<<<<<<<<<<<<< + * _err(MemoryError, NULL) + * + */ + __pyx_t_2 = ((!(__pyx_v_result != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1224 + * result = malloc(size) + * if not result: + * _err(MemoryError, NULL) # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 1224, __pyx_L1_error) + + /* "View.MemoryView":1223 + * + * result = malloc(size) + * if not result: # <<<<<<<<<<<<<< + * _err(MemoryError, NULL) + * + */ + } + + /* "View.MemoryView":1227 + * + * + * tmpslice.data = result # <<<<<<<<<<<<<< + * tmpslice.memview = src.memview + * for i in range(ndim): + */ + __pyx_v_tmpslice->data = ((char *)__pyx_v_result); + + /* "View.MemoryView":1228 + * + * tmpslice.data = result + * tmpslice.memview = src.memview # <<<<<<<<<<<<<< + * for i in range(ndim): + * tmpslice.shape[i] = src.shape[i] + */ + __pyx_t_4 = __pyx_v_src->memview; + __pyx_v_tmpslice->memview = __pyx_t_4; + + /* "View.MemoryView":1229 + * tmpslice.data = result + * tmpslice.memview = src.memview + * for i in range(ndim): # <<<<<<<<<<<<<< + * tmpslice.shape[i] = src.shape[i] + * tmpslice.suboffsets[i] = -1 + */ + __pyx_t_3 = __pyx_v_ndim; + __pyx_t_5 = __pyx_t_3; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "View.MemoryView":1230 + * tmpslice.memview = src.memview + * for i in range(ndim): + * tmpslice.shape[i] = src.shape[i] # <<<<<<<<<<<<<< + * tmpslice.suboffsets[i] = -1 + * + */ + (__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]); + + /* "View.MemoryView":1231 + * for i in range(ndim): + * tmpslice.shape[i] = src.shape[i] + * tmpslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< + * + * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, + */ + (__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1L; + } + + /* "View.MemoryView":1233 + * tmpslice.suboffsets[i] = -1 + * + * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, # <<<<<<<<<<<<<< + * ndim, order) + * + */ + (void)(__pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order)); + + /* "View.MemoryView":1237 + * + * + * for i in range(ndim): # <<<<<<<<<<<<<< + * if tmpslice.shape[i] == 1: + * tmpslice.strides[i] = 0 + */ + __pyx_t_3 = __pyx_v_ndim; + __pyx_t_5 = __pyx_t_3; + for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { + __pyx_v_i = __pyx_t_6; + + /* "View.MemoryView":1238 + * + * for i in range(ndim): + * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< + * tmpslice.strides[i] = 0 + * + */ + __pyx_t_2 = (((__pyx_v_tmpslice->shape[__pyx_v_i]) == 1) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1239 + * for i in range(ndim): + * if tmpslice.shape[i] == 1: + * tmpslice.strides[i] = 0 # <<<<<<<<<<<<<< + * + * if slice_is_contig(src[0], order, ndim): + */ + (__pyx_v_tmpslice->strides[__pyx_v_i]) = 0; + + /* "View.MemoryView":1238 + * + * for i in range(ndim): + * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< + * tmpslice.strides[i] = 0 + * + */ + } + } + + /* "View.MemoryView":1241 + * tmpslice.strides[i] = 0 + * + * if slice_is_contig(src[0], order, ndim): # <<<<<<<<<<<<<< + * memcpy(result, src.data, size) + * else: + */ + __pyx_t_2 = (__pyx_memviewslice_is_contig((__pyx_v_src[0]), __pyx_v_order, __pyx_v_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1242 + * + * if slice_is_contig(src[0], order, ndim): + * memcpy(result, src.data, size) # <<<<<<<<<<<<<< + * else: + * copy_strided_to_strided(src, tmpslice, ndim, itemsize) + */ + (void)(memcpy(__pyx_v_result, __pyx_v_src->data, __pyx_v_size)); + + /* "View.MemoryView":1241 + * tmpslice.strides[i] = 0 + * + * if slice_is_contig(src[0], order, ndim): # <<<<<<<<<<<<<< + * memcpy(result, src.data, size) + * else: + */ + goto __pyx_L9; + } + + /* "View.MemoryView":1244 + * memcpy(result, src.data, size) + * else: + * copy_strided_to_strided(src, tmpslice, ndim, itemsize) # <<<<<<<<<<<<<< + * + * return result + */ + /*else*/ { + copy_strided_to_strided(__pyx_v_src, __pyx_v_tmpslice, __pyx_v_ndim, __pyx_v_itemsize); + } + __pyx_L9:; + + /* "View.MemoryView":1246 + * copy_strided_to_strided(src, tmpslice, ndim, itemsize) + * + * return result # <<<<<<<<<<<<<< + * + * + */ + __pyx_r = __pyx_v_result; + goto __pyx_L0; + + /* "View.MemoryView":1208 + * + * @cname('__pyx_memoryview_copy_data_to_temp') + * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice *tmpslice, + * char order, + */ + + /* function exit code */ + __pyx_L1_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_AddTraceback("View.MemoryView.copy_data_to_temp", __pyx_clineno, __pyx_lineno, __pyx_filename); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_r = NULL; + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1251 + * + * @cname('__pyx_memoryview_err_extents') + * cdef int _err_extents(int i, Py_ssize_t extent1, # <<<<<<<<<<<<<< + * Py_ssize_t extent2) except -1 with gil: + * raise ValueError("got differing extents in dimension %d (got %d and %d)" % + */ + +static int __pyx_memoryview_err_extents(int __pyx_v_i, Py_ssize_t __pyx_v_extent1, Py_ssize_t __pyx_v_extent2) { + int __pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_RefNannySetupContext("_err_extents", 0); + + /* "View.MemoryView":1254 + * Py_ssize_t extent2) except -1 with gil: + * raise ValueError("got differing extents in dimension %d (got %d and %d)" % + * (i, extent1, extent2)) # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_err_dim') + */ + __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_i); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 1254, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_extent1); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1254, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = PyInt_FromSsize_t(__pyx_v_extent2); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1254, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyTuple_New(3); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 1254, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_1); + __Pyx_GIVEREF(__pyx_t_2); + PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_3); + PyTuple_SET_ITEM(__pyx_t_4, 2, __pyx_t_3); + __pyx_t_1 = 0; + __pyx_t_2 = 0; + __pyx_t_3 = 0; + + /* "View.MemoryView":1253 + * cdef int _err_extents(int i, Py_ssize_t extent1, + * Py_ssize_t extent2) except -1 with gil: + * raise ValueError("got differing extents in dimension %d (got %d and %d)" % # <<<<<<<<<<<<<< + * (i, extent1, extent2)) + * + */ + __pyx_t_3 = __Pyx_PyString_Format(__pyx_kp_s_got_differing_extents_in_dimensi, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1253, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 1253, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_Raise(__pyx_t_4, 0, 0, 0); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __PYX_ERR(2, 1253, __pyx_L1_error) + + /* "View.MemoryView":1251 + * + * @cname('__pyx_memoryview_err_extents') + * cdef int _err_extents(int i, Py_ssize_t extent1, # <<<<<<<<<<<<<< + * Py_ssize_t extent2) except -1 with gil: + * raise ValueError("got differing extents in dimension %d (got %d and %d)" % + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_AddTraceback("View.MemoryView._err_extents", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __Pyx_RefNannyFinishContext(); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + return __pyx_r; +} + +/* "View.MemoryView":1257 + * + * @cname('__pyx_memoryview_err_dim') + * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: # <<<<<<<<<<<<<< + * raise error(msg.decode('ascii') % dim) + * + */ + +static int __pyx_memoryview_err_dim(PyObject *__pyx_v_error, char *__pyx_v_msg, int __pyx_v_dim) { + int __pyx_r; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_RefNannySetupContext("_err_dim", 0); + __Pyx_INCREF(__pyx_v_error); + + /* "View.MemoryView":1258 + * @cname('__pyx_memoryview_err_dim') + * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: + * raise error(msg.decode('ascii') % dim) # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_err') + */ + __pyx_t_2 = __Pyx_decode_c_string(__pyx_v_msg, 0, strlen(__pyx_v_msg), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1258, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_dim); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1258, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyUnicode_Format(__pyx_t_2, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 1258, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_INCREF(__pyx_v_error); + __pyx_t_3 = __pyx_v_error; __pyx_t_2 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) { + __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_3); + if (likely(__pyx_t_2)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); + __Pyx_INCREF(__pyx_t_2); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_3, function); + } + } + __pyx_t_1 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_2, __pyx_t_4) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_4); + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 1258, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_Raise(__pyx_t_1, 0, 0, 0); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __PYX_ERR(2, 1258, __pyx_L1_error) + + /* "View.MemoryView":1257 + * + * @cname('__pyx_memoryview_err_dim') + * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: # <<<<<<<<<<<<<< + * raise error(msg.decode('ascii') % dim) + * + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_AddTraceback("View.MemoryView._err_dim", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __Pyx_XDECREF(__pyx_v_error); + __Pyx_RefNannyFinishContext(); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + return __pyx_r; +} + +/* "View.MemoryView":1261 + * + * @cname('__pyx_memoryview_err') + * cdef int _err(object error, char *msg) except -1 with gil: # <<<<<<<<<<<<<< + * if msg != NULL: + * raise error(msg.decode('ascii')) + */ + +static int __pyx_memoryview_err(PyObject *__pyx_v_error, char *__pyx_v_msg) { + int __pyx_r; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_RefNannySetupContext("_err", 0); + __Pyx_INCREF(__pyx_v_error); + + /* "View.MemoryView":1262 + * @cname('__pyx_memoryview_err') + * cdef int _err(object error, char *msg) except -1 with gil: + * if msg != NULL: # <<<<<<<<<<<<<< + * raise error(msg.decode('ascii')) + * else: + */ + __pyx_t_1 = ((__pyx_v_msg != NULL) != 0); + if (unlikely(__pyx_t_1)) { + + /* "View.MemoryView":1263 + * cdef int _err(object error, char *msg) except -1 with gil: + * if msg != NULL: + * raise error(msg.decode('ascii')) # <<<<<<<<<<<<<< + * else: + * raise error + */ + __pyx_t_3 = __Pyx_decode_c_string(__pyx_v_msg, 0, strlen(__pyx_v_msg), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 1263, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_INCREF(__pyx_v_error); + __pyx_t_4 = __pyx_v_error; __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_4, function); + } + } + __pyx_t_2 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_5, __pyx_t_3) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_3); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1263, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + __Pyx_Raise(__pyx_t_2, 0, 0, 0); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __PYX_ERR(2, 1263, __pyx_L1_error) + + /* "View.MemoryView":1262 + * @cname('__pyx_memoryview_err') + * cdef int _err(object error, char *msg) except -1 with gil: + * if msg != NULL: # <<<<<<<<<<<<<< + * raise error(msg.decode('ascii')) + * else: + */ + } + + /* "View.MemoryView":1265 + * raise error(msg.decode('ascii')) + * else: + * raise error # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_copy_contents') + */ + /*else*/ { + __Pyx_Raise(__pyx_v_error, 0, 0, 0); + __PYX_ERR(2, 1265, __pyx_L1_error) + } + + /* "View.MemoryView":1261 + * + * @cname('__pyx_memoryview_err') + * cdef int _err(object error, char *msg) except -1 with gil: # <<<<<<<<<<<<<< + * if msg != NULL: + * raise error(msg.decode('ascii')) + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView._err", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = -1; + __Pyx_XDECREF(__pyx_v_error); + __Pyx_RefNannyFinishContext(); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + return __pyx_r; +} + +/* "View.MemoryView":1268 + * + * @cname('__pyx_memoryview_copy_contents') + * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice dst, + * int src_ndim, int dst_ndim, + */ + +static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_memviewslice __pyx_v_dst, int __pyx_v_src_ndim, int __pyx_v_dst_ndim, int __pyx_v_dtype_is_object) { + void *__pyx_v_tmpdata; + size_t __pyx_v_itemsize; + int __pyx_v_i; + char __pyx_v_order; + int __pyx_v_broadcasting; + int __pyx_v_direct_copy; + __Pyx_memviewslice __pyx_v_tmp; + int __pyx_v_ndim; + int __pyx_r; + Py_ssize_t __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + int __pyx_t_4; + int __pyx_t_5; + int __pyx_t_6; + void *__pyx_t_7; + int __pyx_t_8; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + + /* "View.MemoryView":1276 + * Check for overlapping memory and verify the shapes. + * """ + * cdef void *tmpdata = NULL # <<<<<<<<<<<<<< + * cdef size_t itemsize = src.memview.view.itemsize + * cdef int i + */ + __pyx_v_tmpdata = NULL; + + /* "View.MemoryView":1277 + * """ + * cdef void *tmpdata = NULL + * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< + * cdef int i + * cdef char order = get_best_order(&src, src_ndim) + */ + __pyx_t_1 = __pyx_v_src.memview->view.itemsize; + __pyx_v_itemsize = __pyx_t_1; + + /* "View.MemoryView":1279 + * cdef size_t itemsize = src.memview.view.itemsize + * cdef int i + * cdef char order = get_best_order(&src, src_ndim) # <<<<<<<<<<<<<< + * cdef bint broadcasting = False + * cdef bint direct_copy = False + */ + __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_src), __pyx_v_src_ndim); + + /* "View.MemoryView":1280 + * cdef int i + * cdef char order = get_best_order(&src, src_ndim) + * cdef bint broadcasting = False # <<<<<<<<<<<<<< + * cdef bint direct_copy = False + * cdef __Pyx_memviewslice tmp + */ + __pyx_v_broadcasting = 0; + + /* "View.MemoryView":1281 + * cdef char order = get_best_order(&src, src_ndim) + * cdef bint broadcasting = False + * cdef bint direct_copy = False # <<<<<<<<<<<<<< + * cdef __Pyx_memviewslice tmp + * + */ + __pyx_v_direct_copy = 0; + + /* "View.MemoryView":1284 + * cdef __Pyx_memviewslice tmp + * + * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: + */ + __pyx_t_2 = ((__pyx_v_src_ndim < __pyx_v_dst_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1285 + * + * if src_ndim < dst_ndim: + * broadcast_leading(&src, src_ndim, dst_ndim) # <<<<<<<<<<<<<< + * elif dst_ndim < src_ndim: + * broadcast_leading(&dst, dst_ndim, src_ndim) + */ + __pyx_memoryview_broadcast_leading((&__pyx_v_src), __pyx_v_src_ndim, __pyx_v_dst_ndim); + + /* "View.MemoryView":1284 + * cdef __Pyx_memviewslice tmp + * + * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1286 + * if src_ndim < dst_ndim: + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< + * broadcast_leading(&dst, dst_ndim, src_ndim) + * + */ + __pyx_t_2 = ((__pyx_v_dst_ndim < __pyx_v_src_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1287 + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: + * broadcast_leading(&dst, dst_ndim, src_ndim) # <<<<<<<<<<<<<< + * + * cdef int ndim = max(src_ndim, dst_ndim) + */ + __pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim); + + /* "View.MemoryView":1286 + * if src_ndim < dst_ndim: + * broadcast_leading(&src, src_ndim, dst_ndim) + * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< + * broadcast_leading(&dst, dst_ndim, src_ndim) + * + */ + } + __pyx_L3:; + + /* "View.MemoryView":1289 + * broadcast_leading(&dst, dst_ndim, src_ndim) + * + * cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<< + * + * for i in range(ndim): + */ + __pyx_t_3 = __pyx_v_dst_ndim; + __pyx_t_4 = __pyx_v_src_ndim; + if (((__pyx_t_3 > __pyx_t_4) != 0)) { + __pyx_t_5 = __pyx_t_3; + } else { + __pyx_t_5 = __pyx_t_4; + } + __pyx_v_ndim = __pyx_t_5; + + /* "View.MemoryView":1291 + * cdef int ndim = max(src_ndim, dst_ndim) + * + * for i in range(ndim): # <<<<<<<<<<<<<< + * if src.shape[i] != dst.shape[i]: + * if src.shape[i] == 1: + */ + __pyx_t_5 = __pyx_v_ndim; + __pyx_t_3 = __pyx_t_5; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_i = __pyx_t_4; + + /* "View.MemoryView":1292 + * + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< + * if src.shape[i] == 1: + * broadcasting = True + */ + __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1293 + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: + * if src.shape[i] == 1: # <<<<<<<<<<<<<< + * broadcasting = True + * src.strides[i] = 0 + */ + __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1294 + * if src.shape[i] != dst.shape[i]: + * if src.shape[i] == 1: + * broadcasting = True # <<<<<<<<<<<<<< + * src.strides[i] = 0 + * else: + */ + __pyx_v_broadcasting = 1; + + /* "View.MemoryView":1295 + * if src.shape[i] == 1: + * broadcasting = True + * src.strides[i] = 0 # <<<<<<<<<<<<<< + * else: + * _err_extents(i, dst.shape[i], src.shape[i]) + */ + (__pyx_v_src.strides[__pyx_v_i]) = 0; + + /* "View.MemoryView":1293 + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: + * if src.shape[i] == 1: # <<<<<<<<<<<<<< + * broadcasting = True + * src.strides[i] = 0 + */ + goto __pyx_L7; + } + + /* "View.MemoryView":1297 + * src.strides[i] = 0 + * else: + * _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<< + * + * if src.suboffsets[i] >= 0: + */ + /*else*/ { + __pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1297, __pyx_L1_error) + } + __pyx_L7:; + + /* "View.MemoryView":1292 + * + * for i in range(ndim): + * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< + * if src.shape[i] == 1: + * broadcasting = True + */ + } + + /* "View.MemoryView":1299 + * _err_extents(i, dst.shape[i], src.shape[i]) + * + * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< + * _err_dim(ValueError, "Dimension %d is not direct", i) + * + */ + __pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1300 + * + * if src.suboffsets[i] >= 0: + * _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<< + * + * if slices_overlap(&src, &dst, ndim, itemsize): + */ + __pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1300, __pyx_L1_error) + + /* "View.MemoryView":1299 + * _err_extents(i, dst.shape[i], src.shape[i]) + * + * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< + * _err_dim(ValueError, "Dimension %d is not direct", i) + * + */ + } + } + + /* "View.MemoryView":1302 + * _err_dim(ValueError, "Dimension %d is not direct", i) + * + * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< + * + * if not slice_is_contig(src, order, ndim): + */ + __pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1304 + * if slices_overlap(&src, &dst, ndim, itemsize): + * + * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< + * order = get_best_order(&dst, ndim) + * + */ + __pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1305 + * + * if not slice_is_contig(src, order, ndim): + * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<< + * + * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) + */ + __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim); + + /* "View.MemoryView":1304 + * if slices_overlap(&src, &dst, ndim, itemsize): + * + * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< + * order = get_best_order(&dst, ndim) + * + */ + } + + /* "View.MemoryView":1307 + * order = get_best_order(&dst, ndim) + * + * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<< + * src = tmp + * + */ + __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(2, 1307, __pyx_L1_error) + __pyx_v_tmpdata = __pyx_t_7; + + /* "View.MemoryView":1308 + * + * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) + * src = tmp # <<<<<<<<<<<<<< + * + * if not broadcasting: + */ + __pyx_v_src = __pyx_v_tmp; + + /* "View.MemoryView":1302 + * _err_dim(ValueError, "Dimension %d is not direct", i) + * + * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< + * + * if not slice_is_contig(src, order, ndim): + */ + } + + /* "View.MemoryView":1310 + * src = tmp + * + * if not broadcasting: # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1313 + * + * + * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): + */ + __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1314 + * + * if slice_is_contig(src, 'C', ndim): + * direct_copy = slice_is_contig(dst, 'C', ndim) # <<<<<<<<<<<<<< + * elif slice_is_contig(src, 'F', ndim): + * direct_copy = slice_is_contig(dst, 'F', ndim) + */ + __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim); + + /* "View.MemoryView":1313 + * + * + * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): + */ + goto __pyx_L12; + } + + /* "View.MemoryView":1315 + * if slice_is_contig(src, 'C', ndim): + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + */ + __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1316 + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): + * direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<< + * + * if direct_copy: + */ + __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim); + + /* "View.MemoryView":1315 + * if slice_is_contig(src, 'C', ndim): + * direct_copy = slice_is_contig(dst, 'C', ndim) + * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + */ + } + __pyx_L12:; + + /* "View.MemoryView":1318 + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + * if direct_copy: # <<<<<<<<<<<<<< + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + */ + __pyx_t_2 = (__pyx_v_direct_copy != 0); + if (__pyx_t_2) { + + /* "View.MemoryView":1320 + * if direct_copy: + * + * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) + * refcount_copying(&dst, dtype_is_object, ndim, True) + */ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); + + /* "View.MemoryView":1321 + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< + * refcount_copying(&dst, dtype_is_object, ndim, True) + * free(tmpdata) + */ + (void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim))); + + /* "View.MemoryView":1322 + * refcount_copying(&dst, dtype_is_object, ndim, False) + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) + * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< + * free(tmpdata) + * return 0 + */ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); + + /* "View.MemoryView":1323 + * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) + * refcount_copying(&dst, dtype_is_object, ndim, True) + * free(tmpdata) # <<<<<<<<<<<<<< + * return 0 + * + */ + free(__pyx_v_tmpdata); + + /* "View.MemoryView":1324 + * refcount_copying(&dst, dtype_is_object, ndim, True) + * free(tmpdata) + * return 0 # <<<<<<<<<<<<<< + * + * if order == 'F' == get_best_order(&dst, ndim): + */ + __pyx_r = 0; + goto __pyx_L0; + + /* "View.MemoryView":1318 + * direct_copy = slice_is_contig(dst, 'F', ndim) + * + * if direct_copy: # <<<<<<<<<<<<<< + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + */ + } + + /* "View.MemoryView":1310 + * src = tmp + * + * if not broadcasting: # <<<<<<<<<<<<<< + * + * + */ + } + + /* "View.MemoryView":1326 + * return 0 + * + * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = (__pyx_v_order == 'F'); + if (__pyx_t_2) { + __pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim)); + } + __pyx_t_8 = (__pyx_t_2 != 0); + if (__pyx_t_8) { + + /* "View.MemoryView":1329 + * + * + * transpose_memslice(&src) # <<<<<<<<<<<<<< + * transpose_memslice(&dst) + * + */ + __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1329, __pyx_L1_error) + + /* "View.MemoryView":1330 + * + * transpose_memslice(&src) + * transpose_memslice(&dst) # <<<<<<<<<<<<<< + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + */ + __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1330, __pyx_L1_error) + + /* "View.MemoryView":1326 + * return 0 + * + * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< + * + * + */ + } + + /* "View.MemoryView":1332 + * transpose_memslice(&dst) + * + * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< + * copy_strided_to_strided(&src, &dst, ndim, itemsize) + * refcount_copying(&dst, dtype_is_object, ndim, True) + */ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); + + /* "View.MemoryView":1333 + * + * refcount_copying(&dst, dtype_is_object, ndim, False) + * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< + * refcount_copying(&dst, dtype_is_object, ndim, True) + * + */ + copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); + + /* "View.MemoryView":1334 + * refcount_copying(&dst, dtype_is_object, ndim, False) + * copy_strided_to_strided(&src, &dst, ndim, itemsize) + * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< + * + * free(tmpdata) + */ + __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); + + /* "View.MemoryView":1336 + * refcount_copying(&dst, dtype_is_object, ndim, True) + * + * free(tmpdata) # <<<<<<<<<<<<<< + * return 0 + * + */ + free(__pyx_v_tmpdata); + + /* "View.MemoryView":1337 + * + * free(tmpdata) + * return 0 # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_broadcast_leading') + */ + __pyx_r = 0; + goto __pyx_L0; + + /* "View.MemoryView":1268 + * + * @cname('__pyx_memoryview_copy_contents') + * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< + * __Pyx_memviewslice dst, + * int src_ndim, int dst_ndim, + */ + + /* function exit code */ + __pyx_L1_error:; + { + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif + } + __pyx_r = -1; + __pyx_L0:; + return __pyx_r; +} + +/* "View.MemoryView":1340 + * + * @cname('__pyx_memoryview_broadcast_leading') + * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< + * int ndim, + * int ndim_other) nogil: + */ + +static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) { + int __pyx_v_i; + int __pyx_v_offset; + int __pyx_t_1; + int __pyx_t_2; + int __pyx_t_3; + + /* "View.MemoryView":1344 + * int ndim_other) nogil: + * cdef int i + * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< + * + * for i in range(ndim - 1, -1, -1): + */ + __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); + + /* "View.MemoryView":1346 + * cdef int offset = ndim_other - ndim + * + * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< + * mslice.shape[i + offset] = mslice.shape[i] + * mslice.strides[i + offset] = mslice.strides[i] + */ + for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { + __pyx_v_i = __pyx_t_1; + + /* "View.MemoryView":1347 + * + * for i in range(ndim - 1, -1, -1): + * mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<< + * mslice.strides[i + offset] = mslice.strides[i] + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] + */ + (__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]); + + /* "View.MemoryView":1348 + * for i in range(ndim - 1, -1, -1): + * mslice.shape[i + offset] = mslice.shape[i] + * mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<< + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] + * + */ + (__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]); + + /* "View.MemoryView":1349 + * mslice.shape[i + offset] = mslice.shape[i] + * mslice.strides[i + offset] = mslice.strides[i] + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<< + * + * for i in range(offset): + */ + (__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]); + } + + /* "View.MemoryView":1351 + * mslice.suboffsets[i + offset] = mslice.suboffsets[i] + * + * for i in range(offset): # <<<<<<<<<<<<<< + * mslice.shape[i] = 1 + * mslice.strides[i] = mslice.strides[0] + */ + __pyx_t_1 = __pyx_v_offset; + __pyx_t_2 = __pyx_t_1; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { + __pyx_v_i = __pyx_t_3; + + /* "View.MemoryView":1352 + * + * for i in range(offset): + * mslice.shape[i] = 1 # <<<<<<<<<<<<<< + * mslice.strides[i] = mslice.strides[0] + * mslice.suboffsets[i] = -1 + */ + (__pyx_v_mslice->shape[__pyx_v_i]) = 1; + + /* "View.MemoryView":1353 + * for i in range(offset): + * mslice.shape[i] = 1 + * mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<< + * mslice.suboffsets[i] = -1 + * + */ + (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]); + + /* "View.MemoryView":1354 + * mslice.shape[i] = 1 + * mslice.strides[i] = mslice.strides[0] + * mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< + * + * + */ + (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L; + } + + /* "View.MemoryView":1340 + * + * @cname('__pyx_memoryview_broadcast_leading') + * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< + * int ndim, + * int ndim_other) nogil: + */ + + /* function exit code */ +} + +/* "View.MemoryView":1362 + * + * @cname('__pyx_memoryview_refcount_copying') + * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< + * int ndim, bint inc) nogil: + * + */ + +static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) { + int __pyx_t_1; + + /* "View.MemoryView":1366 + * + * + * if dtype_is_object: # <<<<<<<<<<<<<< + * refcount_objects_in_slice_with_gil(dst.data, dst.shape, + * dst.strides, ndim, inc) + */ + __pyx_t_1 = (__pyx_v_dtype_is_object != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1367 + * + * if dtype_is_object: + * refcount_objects_in_slice_with_gil(dst.data, dst.shape, # <<<<<<<<<<<<<< + * dst.strides, ndim, inc) + * + */ + __pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc); + + /* "View.MemoryView":1366 + * + * + * if dtype_is_object: # <<<<<<<<<<<<<< + * refcount_objects_in_slice_with_gil(dst.data, dst.shape, + * dst.strides, ndim, inc) + */ + } + + /* "View.MemoryView":1362 + * + * @cname('__pyx_memoryview_refcount_copying') + * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< + * int ndim, bint inc) nogil: + * + */ + + /* function exit code */ +} + +/* "View.MemoryView":1371 + * + * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') + * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< + * Py_ssize_t *strides, int ndim, + * bint inc) with gil: + */ + +static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { + __Pyx_RefNannyDeclarations + #ifdef WITH_THREAD + PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); + #endif + __Pyx_RefNannySetupContext("refcount_objects_in_slice_with_gil", 0); + + /* "View.MemoryView":1374 + * Py_ssize_t *strides, int ndim, + * bint inc) with gil: + * refcount_objects_in_slice(data, shape, strides, ndim, inc) # <<<<<<<<<<<<<< + * + * @cname('__pyx_memoryview_refcount_objects_in_slice') + */ + __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc); + + /* "View.MemoryView":1371 + * + * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') + * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< + * Py_ssize_t *strides, int ndim, + * bint inc) with gil: + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + #ifdef WITH_THREAD + __Pyx_PyGILState_Release(__pyx_gilstate_save); + #endif +} + +/* "View.MemoryView":1377 + * + * @cname('__pyx_memoryview_refcount_objects_in_slice') + * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< + * Py_ssize_t *strides, int ndim, bint inc): + * cdef Py_ssize_t i + */ + +static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { + CYTHON_UNUSED Py_ssize_t __pyx_v_i; + __Pyx_RefNannyDeclarations + Py_ssize_t __pyx_t_1; + Py_ssize_t __pyx_t_2; + Py_ssize_t __pyx_t_3; + int __pyx_t_4; + __Pyx_RefNannySetupContext("refcount_objects_in_slice", 0); + + /* "View.MemoryView":1381 + * cdef Py_ssize_t i + * + * for i in range(shape[0]): # <<<<<<<<<<<<<< + * if ndim == 1: + * if inc: + */ + __pyx_t_1 = (__pyx_v_shape[0]); + __pyx_t_2 = __pyx_t_1; + for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { + __pyx_v_i = __pyx_t_3; + + /* "View.MemoryView":1382 + * + * for i in range(shape[0]): + * if ndim == 1: # <<<<<<<<<<<<<< + * if inc: + * Py_INCREF(( data)[0]) + */ + __pyx_t_4 = ((__pyx_v_ndim == 1) != 0); + if (__pyx_t_4) { + + /* "View.MemoryView":1383 + * for i in range(shape[0]): + * if ndim == 1: + * if inc: # <<<<<<<<<<<<<< + * Py_INCREF(( data)[0]) + * else: + */ + __pyx_t_4 = (__pyx_v_inc != 0); + if (__pyx_t_4) { + + /* "View.MemoryView":1384 + * if ndim == 1: + * if inc: + * Py_INCREF(( data)[0]) # <<<<<<<<<<<<<< + * else: + * Py_DECREF(( data)[0]) + */ + Py_INCREF((((PyObject **)__pyx_v_data)[0])); + + /* "View.MemoryView":1383 + * for i in range(shape[0]): + * if ndim == 1: + * if inc: # <<<<<<<<<<<<<< + * Py_INCREF(( data)[0]) + * else: + */ + goto __pyx_L6; + } + + /* "View.MemoryView":1386 + * Py_INCREF(( data)[0]) + * else: + * Py_DECREF(( data)[0]) # <<<<<<<<<<<<<< + * else: + * refcount_objects_in_slice(data, shape + 1, strides + 1, + */ + /*else*/ { + Py_DECREF((((PyObject **)__pyx_v_data)[0])); + } + __pyx_L6:; + + /* "View.MemoryView":1382 + * + * for i in range(shape[0]): + * if ndim == 1: # <<<<<<<<<<<<<< + * if inc: + * Py_INCREF(( data)[0]) + */ + goto __pyx_L5; + } + + /* "View.MemoryView":1388 + * Py_DECREF(( data)[0]) + * else: + * refcount_objects_in_slice(data, shape + 1, strides + 1, # <<<<<<<<<<<<<< + * ndim - 1, inc) + * + */ + /*else*/ { + + /* "View.MemoryView":1389 + * else: + * refcount_objects_in_slice(data, shape + 1, strides + 1, + * ndim - 1, inc) # <<<<<<<<<<<<<< + * + * data += strides[0] + */ + __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_inc); + } + __pyx_L5:; + + /* "View.MemoryView":1391 + * ndim - 1, inc) + * + * data += strides[0] # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_data = (__pyx_v_data + (__pyx_v_strides[0])); + } + + /* "View.MemoryView":1377 + * + * @cname('__pyx_memoryview_refcount_objects_in_slice') + * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< + * Py_ssize_t *strides, int ndim, bint inc): + * cdef Py_ssize_t i + */ + + /* function exit code */ + __Pyx_RefNannyFinishContext(); +} + +/* "View.MemoryView":1397 + * + * @cname('__pyx_memoryview_slice_assign_scalar') + * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # <<<<<<<<<<<<<< + * size_t itemsize, void *item, + * bint dtype_is_object) nogil: + */ + +static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item, int __pyx_v_dtype_is_object) { + + /* "View.MemoryView":1400 + * size_t itemsize, void *item, + * bint dtype_is_object) nogil: + * refcount_copying(dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< + * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, + * itemsize, item) + */ + __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0); + + /* "View.MemoryView":1401 + * bint dtype_is_object) nogil: + * refcount_copying(dst, dtype_is_object, ndim, False) + * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, # <<<<<<<<<<<<<< + * itemsize, item) + * refcount_copying(dst, dtype_is_object, ndim, True) + */ + __pyx_memoryview__slice_assign_scalar(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_itemsize, __pyx_v_item); + + /* "View.MemoryView":1403 + * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, + * itemsize, item) + * refcount_copying(dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< + * + * + */ + __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1); + + /* "View.MemoryView":1397 + * + * @cname('__pyx_memoryview_slice_assign_scalar') + * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # <<<<<<<<<<<<<< + * size_t itemsize, void *item, + * bint dtype_is_object) nogil: + */ + + /* function exit code */ +} + +/* "View.MemoryView":1407 + * + * @cname('__pyx_memoryview__slice_assign_scalar') + * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< + * Py_ssize_t *strides, int ndim, + * size_t itemsize, void *item) nogil: + */ + +static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item) { + CYTHON_UNUSED Py_ssize_t __pyx_v_i; + Py_ssize_t __pyx_v_stride; + Py_ssize_t __pyx_v_extent; + int __pyx_t_1; + Py_ssize_t __pyx_t_2; + Py_ssize_t __pyx_t_3; + Py_ssize_t __pyx_t_4; + + /* "View.MemoryView":1411 + * size_t itemsize, void *item) nogil: + * cdef Py_ssize_t i + * cdef Py_ssize_t stride = strides[0] # <<<<<<<<<<<<<< + * cdef Py_ssize_t extent = shape[0] + * + */ + __pyx_v_stride = (__pyx_v_strides[0]); + + /* "View.MemoryView":1412 + * cdef Py_ssize_t i + * cdef Py_ssize_t stride = strides[0] + * cdef Py_ssize_t extent = shape[0] # <<<<<<<<<<<<<< + * + * if ndim == 1: + */ + __pyx_v_extent = (__pyx_v_shape[0]); + + /* "View.MemoryView":1414 + * cdef Py_ssize_t extent = shape[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * for i in range(extent): + * memcpy(data, item, itemsize) + */ + __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); + if (__pyx_t_1) { + + /* "View.MemoryView":1415 + * + * if ndim == 1: + * for i in range(extent): # <<<<<<<<<<<<<< + * memcpy(data, item, itemsize) + * data += stride + */ + __pyx_t_2 = __pyx_v_extent; + __pyx_t_3 = __pyx_t_2; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_i = __pyx_t_4; + + /* "View.MemoryView":1416 + * if ndim == 1: + * for i in range(extent): + * memcpy(data, item, itemsize) # <<<<<<<<<<<<<< + * data += stride + * else: + */ + (void)(memcpy(__pyx_v_data, __pyx_v_item, __pyx_v_itemsize)); + + /* "View.MemoryView":1417 + * for i in range(extent): + * memcpy(data, item, itemsize) + * data += stride # <<<<<<<<<<<<<< + * else: + * for i in range(extent): + */ + __pyx_v_data = (__pyx_v_data + __pyx_v_stride); + } + + /* "View.MemoryView":1414 + * cdef Py_ssize_t extent = shape[0] + * + * if ndim == 1: # <<<<<<<<<<<<<< + * for i in range(extent): + * memcpy(data, item, itemsize) + */ + goto __pyx_L3; + } + + /* "View.MemoryView":1419 + * data += stride + * else: + * for i in range(extent): # <<<<<<<<<<<<<< + * _slice_assign_scalar(data, shape + 1, strides + 1, + * ndim - 1, itemsize, item) + */ + /*else*/ { + __pyx_t_2 = __pyx_v_extent; + __pyx_t_3 = __pyx_t_2; + for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { + __pyx_v_i = __pyx_t_4; + + /* "View.MemoryView":1420 + * else: + * for i in range(extent): + * _slice_assign_scalar(data, shape + 1, strides + 1, # <<<<<<<<<<<<<< + * ndim - 1, itemsize, item) + * data += stride + */ + __pyx_memoryview__slice_assign_scalar(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize, __pyx_v_item); + + /* "View.MemoryView":1422 + * _slice_assign_scalar(data, shape + 1, strides + 1, + * ndim - 1, itemsize, item) + * data += stride # <<<<<<<<<<<<<< + * + * + */ + __pyx_v_data = (__pyx_v_data + __pyx_v_stride); + } + } + __pyx_L3:; + + /* "View.MemoryView":1407 + * + * @cname('__pyx_memoryview__slice_assign_scalar') + * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< + * Py_ssize_t *strides, int ndim, + * size_t itemsize, void *item) nogil: + */ + + /* function exit code */ +} + +/* "(tree fragment)":1 + * def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<< + * cdef object __pyx_PickleError + * cdef object __pyx_result + */ + +/* Python wrapper */ +static PyObject *__pyx_pw_15View_dot_MemoryView_1__pyx_unpickle_Enum(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ +static PyMethodDef __pyx_mdef_15View_dot_MemoryView_1__pyx_unpickle_Enum = {"__pyx_unpickle_Enum", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_15View_dot_MemoryView_1__pyx_unpickle_Enum, METH_VARARGS|METH_KEYWORDS, 0}; +static PyObject *__pyx_pw_15View_dot_MemoryView_1__pyx_unpickle_Enum(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { + PyObject *__pyx_v___pyx_type = 0; + long __pyx_v___pyx_checksum; + PyObject *__pyx_v___pyx_state = 0; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + PyObject *__pyx_r = 0; + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__pyx_unpickle_Enum (wrapper)", 0); + { + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_pyx_type,&__pyx_n_s_pyx_checksum,&__pyx_n_s_pyx_state,0}; + PyObject* values[3] = {0,0,0}; + if (unlikely(__pyx_kwds)) { + Py_ssize_t kw_args; + const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); + switch (pos_args) { + case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + CYTHON_FALLTHROUGH; + case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + CYTHON_FALLTHROUGH; + case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + CYTHON_FALLTHROUGH; + case 0: break; + default: goto __pyx_L5_argtuple_error; + } + kw_args = PyDict_Size(__pyx_kwds); + switch (pos_args) { + case 0: + if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pyx_type)) != 0)) kw_args--; + else goto __pyx_L5_argtuple_error; + CYTHON_FALLTHROUGH; + case 1: + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pyx_checksum)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_unpickle_Enum", 1, 3, 3, 1); __PYX_ERR(2, 1, __pyx_L3_error) + } + CYTHON_FALLTHROUGH; + case 2: + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pyx_state)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("__pyx_unpickle_Enum", 1, 3, 3, 2); __PYX_ERR(2, 1, __pyx_L3_error) + } + } + if (unlikely(kw_args > 0)) { + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__pyx_unpickle_Enum") < 0)) __PYX_ERR(2, 1, __pyx_L3_error) + } + } else if (PyTuple_GET_SIZE(__pyx_args) != 3) { + goto __pyx_L5_argtuple_error; + } else { + values[0] = PyTuple_GET_ITEM(__pyx_args, 0); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[2] = PyTuple_GET_ITEM(__pyx_args, 2); + } + __pyx_v___pyx_type = values[0]; + __pyx_v___pyx_checksum = __Pyx_PyInt_As_long(values[1]); if (unlikely((__pyx_v___pyx_checksum == (long)-1) && PyErr_Occurred())) __PYX_ERR(2, 1, __pyx_L3_error) + __pyx_v___pyx_state = values[2]; + } + goto __pyx_L4_argument_unpacking_done; + __pyx_L5_argtuple_error:; + __Pyx_RaiseArgtupleInvalid("__pyx_unpickle_Enum", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(2, 1, __pyx_L3_error) + __pyx_L3_error:; + __Pyx_AddTraceback("View.MemoryView.__pyx_unpickle_Enum", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_RefNannyFinishContext(); + return NULL; + __pyx_L4_argument_unpacking_done:; + __pyx_r = __pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(__pyx_self, __pyx_v___pyx_type, __pyx_v___pyx_checksum, __pyx_v___pyx_state); + + /* function exit code */ + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_v___pyx_PickleError = 0; + PyObject *__pyx_v___pyx_result = 0; + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + int __pyx_t_1; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + int __pyx_t_6; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_unpickle_Enum", 0); + + /* "(tree fragment)":4 + * cdef object __pyx_PickleError + * cdef object __pyx_result + * if __pyx_checksum != 0xb068931: # <<<<<<<<<<<<<< + * from pickle import PickleError as __pyx_PickleError + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) + */ + __pyx_t_1 = ((__pyx_v___pyx_checksum != 0xb068931) != 0); + if (__pyx_t_1) { + + /* "(tree fragment)":5 + * cdef object __pyx_result + * if __pyx_checksum != 0xb068931: + * from pickle import PickleError as __pyx_PickleError # <<<<<<<<<<<<<< + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) + * __pyx_result = Enum.__new__(__pyx_type) + */ + __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 5, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_n_s_PickleError); + __Pyx_GIVEREF(__pyx_n_s_PickleError); + PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_PickleError); + __pyx_t_3 = __Pyx_Import(__pyx_n_s_pickle, __pyx_t_2, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 5, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_3, __pyx_n_s_PickleError); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 5, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_t_2); + __pyx_v___pyx_PickleError = __pyx_t_2; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "(tree fragment)":6 + * if __pyx_checksum != 0xb068931: + * from pickle import PickleError as __pyx_PickleError + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) # <<<<<<<<<<<<<< + * __pyx_result = Enum.__new__(__pyx_type) + * if __pyx_state is not None: + */ + __pyx_t_2 = __Pyx_PyInt_From_long(__pyx_v___pyx_checksum); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 6, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = __Pyx_PyString_Format(__pyx_kp_s_Incompatible_checksums_s_vs_0xb0, __pyx_t_2); if (unlikely(!__pyx_t_4)) __PYX_ERR(2, 6, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_INCREF(__pyx_v___pyx_PickleError); + __pyx_t_2 = __pyx_v___pyx_PickleError; __pyx_t_5 = NULL; + if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_5)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_5); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_3 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_5, __pyx_t_4) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 6, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_Raise(__pyx_t_3, 0, 0, 0); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __PYX_ERR(2, 6, __pyx_L1_error) + + /* "(tree fragment)":4 + * cdef object __pyx_PickleError + * cdef object __pyx_result + * if __pyx_checksum != 0xb068931: # <<<<<<<<<<<<<< + * from pickle import PickleError as __pyx_PickleError + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) + */ + } + + /* "(tree fragment)":7 + * from pickle import PickleError as __pyx_PickleError + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) + * __pyx_result = Enum.__new__(__pyx_type) # <<<<<<<<<<<<<< + * if __pyx_state is not None: + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + */ + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_MemviewEnum_type), __pyx_n_s_new); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 7, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __pyx_t_4 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) { + __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2); + if (likely(__pyx_t_4)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); + __Pyx_INCREF(__pyx_t_4); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_2, function); + } + } + __pyx_t_3 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_4, __pyx_v___pyx_type) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_v___pyx_type); + __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; + if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 7, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_v___pyx_result = __pyx_t_3; + __pyx_t_3 = 0; + + /* "(tree fragment)":8 + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) + * __pyx_result = Enum.__new__(__pyx_type) + * if __pyx_state is not None: # <<<<<<<<<<<<<< + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result + */ + __pyx_t_1 = (__pyx_v___pyx_state != Py_None); + __pyx_t_6 = (__pyx_t_1 != 0); + if (__pyx_t_6) { + + /* "(tree fragment)":9 + * __pyx_result = Enum.__new__(__pyx_type) + * if __pyx_state is not None: + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) # <<<<<<<<<<<<<< + * return __pyx_result + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): + */ + if (!(likely(PyTuple_CheckExact(__pyx_v___pyx_state))||((__pyx_v___pyx_state) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "tuple", Py_TYPE(__pyx_v___pyx_state)->tp_name), 0))) __PYX_ERR(2, 9, __pyx_L1_error) + __pyx_t_3 = __pyx_unpickle_Enum__set_state(((struct __pyx_MemviewEnum_obj *)__pyx_v___pyx_result), ((PyObject*)__pyx_v___pyx_state)); if (unlikely(!__pyx_t_3)) __PYX_ERR(2, 9, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + + /* "(tree fragment)":8 + * raise __pyx_PickleError("Incompatible checksums (%s vs 0xb068931 = (name))" % __pyx_checksum) + * __pyx_result = Enum.__new__(__pyx_type) + * if __pyx_state is not None: # <<<<<<<<<<<<<< + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result + */ + } + + /* "(tree fragment)":10 + * if __pyx_state is not None: + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result # <<<<<<<<<<<<<< + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): + * __pyx_result.name = __pyx_state[0] + */ + __Pyx_XDECREF(__pyx_r); + __Pyx_INCREF(__pyx_v___pyx_result); + __pyx_r = __pyx_v___pyx_result; + goto __pyx_L0; + + /* "(tree fragment)":1 + * def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<< + * cdef object __pyx_PickleError + * cdef object __pyx_result + */ + + /* function exit code */ + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("View.MemoryView.__pyx_unpickle_Enum", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = NULL; + __pyx_L0:; + __Pyx_XDECREF(__pyx_v___pyx_PickleError); + __Pyx_XDECREF(__pyx_v___pyx_result); + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} + +/* "(tree fragment)":11 + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): # <<<<<<<<<<<<<< + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): + */ + +static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *__pyx_v___pyx_result, PyObject *__pyx_v___pyx_state) { + PyObject *__pyx_r = NULL; + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_t_2; + Py_ssize_t __pyx_t_3; + int __pyx_t_4; + int __pyx_t_5; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + PyObject *__pyx_t_8 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__pyx_unpickle_Enum__set_state", 0); + + /* "(tree fragment)":12 + * return __pyx_result + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): + * __pyx_result.name = __pyx_state[0] # <<<<<<<<<<<<<< + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): + * __pyx_result.__dict__.update(__pyx_state[1]) + */ + if (unlikely(__pyx_v___pyx_state == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(2, 12, __pyx_L1_error) + } + __pyx_t_1 = __Pyx_GetItemInt_Tuple(__pyx_v___pyx_state, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 12, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GIVEREF(__pyx_t_1); + __Pyx_GOTREF(__pyx_v___pyx_result->name); + __Pyx_DECREF(__pyx_v___pyx_result->name); + __pyx_v___pyx_result->name = __pyx_t_1; + __pyx_t_1 = 0; + + /* "(tree fragment)":13 + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): # <<<<<<<<<<<<<< + * __pyx_result.__dict__.update(__pyx_state[1]) + */ + if (unlikely(__pyx_v___pyx_state == Py_None)) { + PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); + __PYX_ERR(2, 13, __pyx_L1_error) + } + __pyx_t_3 = PyTuple_GET_SIZE(__pyx_v___pyx_state); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(2, 13, __pyx_L1_error) + __pyx_t_4 = ((__pyx_t_3 > 1) != 0); + if (__pyx_t_4) { + } else { + __pyx_t_2 = __pyx_t_4; + goto __pyx_L4_bool_binop_done; + } + __pyx_t_4 = __Pyx_HasAttr(((PyObject *)__pyx_v___pyx_result), __pyx_n_s_dict); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 13, __pyx_L1_error) + __pyx_t_5 = (__pyx_t_4 != 0); + __pyx_t_2 = __pyx_t_5; + __pyx_L4_bool_binop_done:; + if (__pyx_t_2) { + + /* "(tree fragment)":14 + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): + * __pyx_result.__dict__.update(__pyx_state[1]) # <<<<<<<<<<<<<< + */ + __pyx_t_6 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v___pyx_result), __pyx_n_s_dict); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 14, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_update); if (unlikely(!__pyx_t_7)) __PYX_ERR(2, 14, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_7); + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(__pyx_v___pyx_state == Py_None)) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); + __PYX_ERR(2, 14, __pyx_L1_error) + } + __pyx_t_6 = __Pyx_GetItemInt_Tuple(__pyx_v___pyx_state, 1, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_6)) __PYX_ERR(2, 14, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __pyx_t_8 = NULL; + if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) { + __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_7); + if (likely(__pyx_t_8)) { + PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7); + __Pyx_INCREF(__pyx_t_8); + __Pyx_INCREF(function); + __Pyx_DECREF_SET(__pyx_t_7, function); + } + } + __pyx_t_1 = (__pyx_t_8) ? __Pyx_PyObject_Call2Args(__pyx_t_7, __pyx_t_8, __pyx_t_6) : __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_6); + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 14, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "(tree fragment)":13 + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): # <<<<<<<<<<<<<< + * __pyx_result.__dict__.update(__pyx_state[1]) + */ + } + + /* "(tree fragment)":11 + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): # <<<<<<<<<<<<<< + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): + */ + + /* function exit code */ + __pyx_r = Py_None; __Pyx_INCREF(Py_None); + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); + __Pyx_XDECREF(__pyx_t_8); + __Pyx_AddTraceback("View.MemoryView.__pyx_unpickle_Enum__set_state", __pyx_clineno, __pyx_lineno, __pyx_filename); + __pyx_r = 0; + __pyx_L0:; + __Pyx_XGIVEREF(__pyx_r); + __Pyx_RefNannyFinishContext(); + return __pyx_r; +} +static struct __pyx_vtabstruct_array __pyx_vtable_array; + +static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_array_obj *p; + PyObject *o; + if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { + o = (*t->tp_alloc)(t, 0); + } else { + o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); + } + if (unlikely(!o)) return 0; + p = ((struct __pyx_array_obj *)o); + p->__pyx_vtab = __pyx_vtabptr_array; + p->mode = ((PyObject*)Py_None); Py_INCREF(Py_None); + p->_format = ((PyObject*)Py_None); Py_INCREF(Py_None); + if (unlikely(__pyx_array___cinit__(o, a, k) < 0)) goto bad; + return o; + bad: + Py_DECREF(o); o = 0; + return NULL; +} + +static void __pyx_tp_dealloc_array(PyObject *o) { + struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && (!PyType_IS_GC(Py_TYPE(o)) || !_PyGC_FINALIZED(o))) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1); + __pyx_array___dealloc__(o); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1); + PyErr_Restore(etype, eval, etb); + } + Py_CLEAR(p->mode); + Py_CLEAR(p->_format); + (*Py_TYPE(o)->tp_free)(o); +} +static PyObject *__pyx_sq_item_array(PyObject *o, Py_ssize_t i) { + PyObject *r; + PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; + r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); + Py_DECREF(x); + return r; +} + +static int __pyx_mp_ass_subscript_array(PyObject *o, PyObject *i, PyObject *v) { + if (v) { + return __pyx_array___setitem__(o, i, v); + } + else { + PyErr_Format(PyExc_NotImplementedError, + "Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name); + return -1; + } +} + +static PyObject *__pyx_tp_getattro_array(PyObject *o, PyObject *n) { + PyObject *v = __Pyx_PyObject_GenericGetAttr(o, n); + if (!v && PyErr_ExceptionMatches(PyExc_AttributeError)) { + PyErr_Clear(); + v = __pyx_array___getattr__(o, n); + } + return v; +} + +static PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__(o); +} + +static PyMethodDef __pyx_methods_array[] = { + {"__getattr__", (PyCFunction)__pyx_array___getattr__, METH_O|METH_COEXIST, 0}, + {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_array_1__reduce_cython__, METH_NOARGS, 0}, + {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_array_3__setstate_cython__, METH_O, 0}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_array[] = { + {(char *)"memview", __pyx_getprop___pyx_array_memview, 0, (char *)0, 0}, + {0, 0, 0, 0, 0} +}; + +static PySequenceMethods __pyx_tp_as_sequence_array = { + __pyx_array___len__, /*sq_length*/ + 0, /*sq_concat*/ + 0, /*sq_repeat*/ + __pyx_sq_item_array, /*sq_item*/ + 0, /*sq_slice*/ + 0, /*sq_ass_item*/ + 0, /*sq_ass_slice*/ + 0, /*sq_contains*/ + 0, /*sq_inplace_concat*/ + 0, /*sq_inplace_repeat*/ +}; + +static PyMappingMethods __pyx_tp_as_mapping_array = { + __pyx_array___len__, /*mp_length*/ + __pyx_array___getitem__, /*mp_subscript*/ + __pyx_mp_ass_subscript_array, /*mp_ass_subscript*/ +}; + +static PyBufferProcs __pyx_tp_as_buffer_array = { + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getreadbuffer*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getwritebuffer*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getsegcount*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getcharbuffer*/ + #endif + __pyx_array_getbuffer, /*bf_getbuffer*/ + 0, /*bf_releasebuffer*/ +}; + +static PyTypeObject __pyx_type___pyx_array = { + PyVarObject_HEAD_INIT(0, 0) + "cornac.models.comparer.recom_comparer_sub.array", /*tp_name*/ + sizeof(struct __pyx_array_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_array, /*tp_dealloc*/ + #if PY_VERSION_HEX < 0x030800b4 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 + 0, /*tp_vectorcall_offset*/ + #endif + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + #if PY_MAJOR_VERSION < 3 + 0, /*tp_compare*/ + #endif + #if PY_MAJOR_VERSION >= 3 + 0, /*tp_as_async*/ + #endif + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + &__pyx_tp_as_sequence_array, /*tp_as_sequence*/ + &__pyx_tp_as_mapping_array, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + __pyx_tp_getattro_array, /*tp_getattro*/ + 0, /*tp_setattro*/ + &__pyx_tp_as_buffer_array, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + 0, /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_array, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_array, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + 0, /*tp_dictoffset*/ + 0, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_array, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if PY_VERSION_HEX >= 0x030400a1 + 0, /*tp_finalize*/ + #endif + #if PY_VERSION_HEX >= 0x030800b1 + 0, /*tp_vectorcall*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, /*tp_print*/ + #endif +}; + +static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) { + struct __pyx_MemviewEnum_obj *p; + PyObject *o; + if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { + o = (*t->tp_alloc)(t, 0); + } else { + o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); + } + if (unlikely(!o)) return 0; + p = ((struct __pyx_MemviewEnum_obj *)o); + p->name = Py_None; Py_INCREF(Py_None); + return o; +} + +static void __pyx_tp_dealloc_Enum(PyObject *o) { + struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + #endif + PyObject_GC_UnTrack(o); + Py_CLEAR(p->name); + (*Py_TYPE(o)->tp_free)(o); +} + +static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) { + int e; + struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; + if (p->name) { + e = (*v)(p->name, a); if (e) return e; + } + return 0; +} + +static int __pyx_tp_clear_Enum(PyObject *o) { + PyObject* tmp; + struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; + tmp = ((PyObject*)p->name); + p->name = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + return 0; +} + +static PyMethodDef __pyx_methods_Enum[] = { + {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, METH_NOARGS, 0}, + {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, METH_O, 0}, + {0, 0, 0, 0} +}; + +static PyTypeObject __pyx_type___pyx_MemviewEnum = { + PyVarObject_HEAD_INIT(0, 0) + "cornac.models.comparer.recom_comparer_sub.Enum", /*tp_name*/ + sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_Enum, /*tp_dealloc*/ + #if PY_VERSION_HEX < 0x030800b4 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 + 0, /*tp_vectorcall_offset*/ + #endif + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + #if PY_MAJOR_VERSION < 3 + 0, /*tp_compare*/ + #endif + #if PY_MAJOR_VERSION >= 3 + 0, /*tp_as_async*/ + #endif + __pyx_MemviewEnum___repr__, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ + 0, /*tp_doc*/ + __pyx_tp_traverse_Enum, /*tp_traverse*/ + __pyx_tp_clear_Enum, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_Enum, /*tp_methods*/ + 0, /*tp_members*/ + 0, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + 0, /*tp_dictoffset*/ + __pyx_MemviewEnum___init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_Enum, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if PY_VERSION_HEX >= 0x030400a1 + 0, /*tp_finalize*/ + #endif + #if PY_VERSION_HEX >= 0x030800b1 + 0, /*tp_vectorcall*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, /*tp_print*/ + #endif +}; +static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview; + +static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_memoryview_obj *p; + PyObject *o; + if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) { + o = (*t->tp_alloc)(t, 0); + } else { + o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); + } + if (unlikely(!o)) return 0; + p = ((struct __pyx_memoryview_obj *)o); + p->__pyx_vtab = __pyx_vtabptr_memoryview; + p->obj = Py_None; Py_INCREF(Py_None); + p->_size = Py_None; Py_INCREF(Py_None); + p->_array_interface = Py_None; Py_INCREF(Py_None); + p->view.obj = NULL; + if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad; + return o; + bad: + Py_DECREF(o); o = 0; + return NULL; +} + +static void __pyx_tp_dealloc_memoryview(PyObject *o) { + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + #endif + PyObject_GC_UnTrack(o); + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1); + __pyx_memoryview___dealloc__(o); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1); + PyErr_Restore(etype, eval, etb); + } + Py_CLEAR(p->obj); + Py_CLEAR(p->_size); + Py_CLEAR(p->_array_interface); + (*Py_TYPE(o)->tp_free)(o); +} + +static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) { + int e; + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; + if (p->obj) { + e = (*v)(p->obj, a); if (e) return e; + } + if (p->_size) { + e = (*v)(p->_size, a); if (e) return e; + } + if (p->_array_interface) { + e = (*v)(p->_array_interface, a); if (e) return e; + } + if (p->view.obj) { + e = (*v)(p->view.obj, a); if (e) return e; + } + return 0; +} + +static int __pyx_tp_clear_memoryview(PyObject *o) { + PyObject* tmp; + struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; + tmp = ((PyObject*)p->obj); + p->obj = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + tmp = ((PyObject*)p->_size); + p->_size = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + tmp = ((PyObject*)p->_array_interface); + p->_array_interface = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + Py_CLEAR(p->view.obj); + return 0; +} +static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) { + PyObject *r; + PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; + r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); + Py_DECREF(x); + return r; +} + +static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) { + if (v) { + return __pyx_memoryview___setitem__(o, i, v); + } + else { + PyErr_Format(PyExc_NotImplementedError, + "Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name); + return -1; + } +} + +static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o); +} + +static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o); +} + +static PyMethodDef __pyx_methods_memoryview[] = { + {"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0}, + {"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0}, + {"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0}, + {"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0}, + {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_1__reduce_cython__, METH_NOARGS, 0}, + {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_3__setstate_cython__, METH_O, 0}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_memoryview[] = { + {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0}, + {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0}, + {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0}, + {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0}, + {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0}, + {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0}, + {(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0}, + {(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0}, + {(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0}, + {0, 0, 0, 0, 0} +}; + +static PySequenceMethods __pyx_tp_as_sequence_memoryview = { + __pyx_memoryview___len__, /*sq_length*/ + 0, /*sq_concat*/ + 0, /*sq_repeat*/ + __pyx_sq_item_memoryview, /*sq_item*/ + 0, /*sq_slice*/ + 0, /*sq_ass_item*/ + 0, /*sq_ass_slice*/ + 0, /*sq_contains*/ + 0, /*sq_inplace_concat*/ + 0, /*sq_inplace_repeat*/ +}; + +static PyMappingMethods __pyx_tp_as_mapping_memoryview = { + __pyx_memoryview___len__, /*mp_length*/ + __pyx_memoryview___getitem__, /*mp_subscript*/ + __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/ +}; + +static PyBufferProcs __pyx_tp_as_buffer_memoryview = { + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getreadbuffer*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getwritebuffer*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getsegcount*/ + #endif + #if PY_MAJOR_VERSION < 3 + 0, /*bf_getcharbuffer*/ + #endif + __pyx_memoryview_getbuffer, /*bf_getbuffer*/ + 0, /*bf_releasebuffer*/ +}; + +static PyTypeObject __pyx_type___pyx_memoryview = { + PyVarObject_HEAD_INIT(0, 0) + "cornac.models.comparer.recom_comparer_sub.memoryview", /*tp_name*/ + sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ + #if PY_VERSION_HEX < 0x030800b4 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 + 0, /*tp_vectorcall_offset*/ + #endif + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + #if PY_MAJOR_VERSION < 3 + 0, /*tp_compare*/ + #endif + #if PY_MAJOR_VERSION >= 3 + 0, /*tp_as_async*/ + #endif + __pyx_memoryview___repr__, /*tp_repr*/ + 0, /*tp_as_number*/ + &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/ + &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + __pyx_memoryview___str__, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ + 0, /*tp_doc*/ + __pyx_tp_traverse_memoryview, /*tp_traverse*/ + __pyx_tp_clear_memoryview, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_memoryview, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_memoryview, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + 0, /*tp_dictoffset*/ + 0, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_memoryview, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if PY_VERSION_HEX >= 0x030400a1 + 0, /*tp_finalize*/ + #endif + #if PY_VERSION_HEX >= 0x030800b1 + 0, /*tp_vectorcall*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, /*tp_print*/ + #endif +}; +static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice; + +static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_memoryviewslice_obj *p; + PyObject *o = __pyx_tp_new_memoryview(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_memoryviewslice_obj *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice; + p->from_object = Py_None; Py_INCREF(Py_None); + p->from_slice.memview = NULL; + return o; +} + +static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) { + struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + #endif + PyObject_GC_UnTrack(o); + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1); + __pyx_memoryviewslice___dealloc__(o); + __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1); + PyErr_Restore(etype, eval, etb); + } + Py_CLEAR(p->from_object); + PyObject_GC_Track(o); + __pyx_tp_dealloc_memoryview(o); +} + +static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) { + int e; + struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; + e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e; + if (p->from_object) { + e = (*v)(p->from_object, a); if (e) return e; + } + return 0; +} + +static int __pyx_tp_clear__memoryviewslice(PyObject *o) { + PyObject* tmp; + struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; + __pyx_tp_clear_memoryview(o); + tmp = ((PyObject*)p->from_object); + p->from_object = Py_None; Py_INCREF(Py_None); + Py_XDECREF(tmp); + __PYX_XDEC_MEMVIEW(&p->from_slice, 1); + return 0; +} + +static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(o); +} + +static PyMethodDef __pyx_methods__memoryviewslice[] = { + {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_1__reduce_cython__, METH_NOARGS, 0}, + {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_3__setstate_cython__, METH_O, 0}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = { + {(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, (char *)0, 0}, + {0, 0, 0, 0, 0} +}; + +static PyTypeObject __pyx_type___pyx_memoryviewslice = { + PyVarObject_HEAD_INIT(0, 0) + "cornac.models.comparer.recom_comparer_sub._memoryviewslice", /*tp_name*/ + sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/ + #if PY_VERSION_HEX < 0x030800b4 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 + 0, /*tp_vectorcall_offset*/ + #endif + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + #if PY_MAJOR_VERSION < 3 + 0, /*tp_compare*/ + #endif + #if PY_MAJOR_VERSION >= 3 + 0, /*tp_as_async*/ + #endif + #if CYTHON_COMPILING_IN_PYPY + __pyx_memoryview___repr__, /*tp_repr*/ + #else + 0, /*tp_repr*/ + #endif + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + #if CYTHON_COMPILING_IN_PYPY + __pyx_memoryview___str__, /*tp_str*/ + #else + 0, /*tp_str*/ + #endif + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ + "Internal class for passing memoryview slices to Python", /*tp_doc*/ + __pyx_tp_traverse__memoryviewslice, /*tp_traverse*/ + __pyx_tp_clear__memoryviewslice, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods__memoryviewslice, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets__memoryviewslice, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + 0, /*tp_dictoffset*/ + 0, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new__memoryviewslice, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if PY_VERSION_HEX >= 0x030400a1 + 0, /*tp_finalize*/ + #endif + #if PY_VERSION_HEX >= 0x030800b1 + 0, /*tp_vectorcall*/ + #endif + #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, /*tp_print*/ + #endif +}; + +static PyMethodDef __pyx_methods[] = { + {0, 0, 0, 0} +}; + +#if PY_MAJOR_VERSION >= 3 +#if CYTHON_PEP489_MULTI_PHASE_INIT +static PyObject* __pyx_pymod_create(PyObject *spec, PyModuleDef *def); /*proto*/ +static int __pyx_pymod_exec_recom_comparer_sub(PyObject* module); /*proto*/ +static PyModuleDef_Slot __pyx_moduledef_slots[] = { + {Py_mod_create, (void*)__pyx_pymod_create}, + {Py_mod_exec, (void*)__pyx_pymod_exec_recom_comparer_sub}, + {0, NULL} +}; +#endif + +static struct PyModuleDef __pyx_moduledef = { + PyModuleDef_HEAD_INIT, + "recom_comparer_sub", + 0, /* m_doc */ + #if CYTHON_PEP489_MULTI_PHASE_INIT + 0, /* m_size */ + #else + -1, /* m_size */ + #endif + __pyx_methods /* m_methods */, + #if CYTHON_PEP489_MULTI_PHASE_INIT + __pyx_moduledef_slots, /* m_slots */ + #else + NULL, /* m_reload */ + #endif + NULL, /* m_traverse */ + NULL, /* m_clear */ + NULL /* m_free */ +}; +#endif +#ifndef CYTHON_SMALL_CODE +#if defined(__clang__) + #define CYTHON_SMALL_CODE +#elif defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 3)) + #define CYTHON_SMALL_CODE __attribute__((cold)) +#else + #define CYTHON_SMALL_CODE +#endif +#endif + +static __Pyx_StringTabEntry __pyx_string_tab[] = { + {&__pyx_kp_u_2f, __pyx_k_2f, sizeof(__pyx_k_2f), 0, 1, 0, 0}, + {&__pyx_kp_u_2f_2, __pyx_k_2f_2, sizeof(__pyx_k_2f_2), 0, 1, 0, 0}, + {&__pyx_kp_u_2f_3, __pyx_k_2f_3, sizeof(__pyx_k_2f_3), 0, 1, 0, 0}, + {&__pyx_n_s_A, __pyx_k_A, sizeof(__pyx_k_A), 0, 0, 1, 1}, + {&__pyx_n_s_ASCII, __pyx_k_ASCII, sizeof(__pyx_k_ASCII), 0, 0, 1, 1}, + {&__pyx_kp_s_Buffer_view_does_not_expose_stri, __pyx_k_Buffer_view_does_not_expose_stri, sizeof(__pyx_k_Buffer_view_does_not_expose_stri), 0, 0, 1, 0}, + {&__pyx_kp_u_Building_chrono_purchared_items, __pyx_k_Building_chrono_purchared_items, sizeof(__pyx_k_Building_chrono_purchared_items), 0, 1, 0, 0}, + {&__pyx_kp_u_Building_data_completed_in_d_s, __pyx_k_Building_data_completed_in_d_s, sizeof(__pyx_k_Building_data_completed_in_d_s), 0, 1, 0, 0}, + {&__pyx_kp_u_Building_data_started, __pyx_k_Building_data_started, sizeof(__pyx_k_Building_data_started), 0, 1, 0, 0}, + {&__pyx_kp_u_Building_item_aspect_quality_mat, __pyx_k_Building_item_aspect_quality_mat, sizeof(__pyx_k_Building_item_aspect_quality_mat), 0, 1, 0, 0}, + {&__pyx_kp_s_Can_only_create_a_buffer_that_is, __pyx_k_Can_only_create_a_buffer_that_is, sizeof(__pyx_k_Can_only_create_a_buffer_that_is), 0, 0, 1, 0}, + {&__pyx_kp_s_Cannot_assign_to_read_only_memor, __pyx_k_Cannot_assign_to_read_only_memor, sizeof(__pyx_k_Cannot_assign_to_read_only_memor), 0, 0, 1, 0}, + {&__pyx_kp_s_Cannot_create_writable_memory_vi, __pyx_k_Cannot_create_writable_memory_vi, sizeof(__pyx_k_Cannot_create_writable_memory_vi), 0, 0, 1, 0}, + {&__pyx_kp_s_Cannot_index_with_type_s, __pyx_k_Cannot_index_with_type_s, sizeof(__pyx_k_Cannot_index_with_type_s), 0, 0, 1, 0}, + {&__pyx_n_s_ComparERSub, __pyx_k_ComparERSub, sizeof(__pyx_k_ComparERSub), 0, 0, 1, 1}, + {&__pyx_n_u_ComparERSub, __pyx_k_ComparERSub, sizeof(__pyx_k_ComparERSub), 0, 1, 0, 1}, + {&__pyx_n_s_ComparERSub___init, __pyx_k_ComparERSub___init, sizeof(__pyx_k_ComparERSub___init), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERSub__build_chrono_purcha, __pyx_k_ComparERSub__build_chrono_purcha, sizeof(__pyx_k_ComparERSub__build_chrono_purcha), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERSub__build_data, __pyx_k_ComparERSub__build_data, sizeof(__pyx_k_ComparERSub__build_data), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERSub__build_item_quality, __pyx_k_ComparERSub__build_item_quality, sizeof(__pyx_k_ComparERSub__build_item_quality), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERSub__fit_mter, __pyx_k_ComparERSub__fit_mter, sizeof(__pyx_k_ComparERSub__fit_mter), 0, 0, 1, 1}, + {&__pyx_n_s_ComparERSub_fit, __pyx_k_ComparERSub_fit, sizeof(__pyx_k_ComparERSub_fit), 0, 0, 1, 1}, + {&__pyx_kp_u_Compute_X, __pyx_k_Compute_X, sizeof(__pyx_k_Compute_X), 0, 1, 0, 0}, + {&__pyx_kp_u_Compute_YI, __pyx_k_Compute_YI, sizeof(__pyx_k_Compute_YI), 0, 1, 0, 0}, + {&__pyx_kp_u_Compute_YU, __pyx_k_Compute_YU, sizeof(__pyx_k_Compute_YU), 0, 1, 0, 0}, + {&__pyx_kp_u_Count_aspects, __pyx_k_Count_aspects, sizeof(__pyx_k_Count_aspects), 0, 1, 0, 0}, + {&__pyx_n_s_Counter, __pyx_k_Counter, sizeof(__pyx_k_Counter), 0, 0, 1, 1}, + {&__pyx_n_s_Ellipsis, __pyx_k_Ellipsis, sizeof(__pyx_k_Ellipsis), 0, 0, 1, 1}, + {&__pyx_kp_s_Empty_shape_tuple_for_cython_arr, __pyx_k_Empty_shape_tuple_for_cython_arr, sizeof(__pyx_k_Empty_shape_tuple_for_cython_arr), 0, 0, 1, 0}, + {&__pyx_kp_u_Enumerate_index, __pyx_k_Enumerate_index, sizeof(__pyx_k_Enumerate_index), 0, 1, 0, 0}, + {&__pyx_kp_s_Expected_at_least_d_argument_s_g, __pyx_k_Expected_at_least_d_argument_s_g, sizeof(__pyx_k_Expected_at_least_d_argument_s_g), 0, 0, 1, 0}, + {&__pyx_kp_s_Explainable_Recommendation_with, __pyx_k_Explainable_Recommendation_with, sizeof(__pyx_k_Explainable_Recommendation_with), 0, 0, 1, 0}, + {&__pyx_kp_u_Format_string_allocated_too_shor, __pyx_k_Format_string_allocated_too_shor, sizeof(__pyx_k_Format_string_allocated_too_shor), 0, 1, 0, 0}, + {&__pyx_kp_u_Format_string_allocated_too_shor_2, __pyx_k_Format_string_allocated_too_shor_2, sizeof(__pyx_k_Format_string_allocated_too_shor_2), 0, 1, 0, 0}, + {&__pyx_kp_s_Function_call_with_ambiguous_arg, __pyx_k_Function_call_with_ambiguous_arg, sizeof(__pyx_k_Function_call_with_ambiguous_arg), 0, 0, 1, 0}, + {&__pyx_n_s_G1, __pyx_k_G1, sizeof(__pyx_k_G1), 0, 0, 1, 1}, + {&__pyx_n_s_G2, __pyx_k_G2, sizeof(__pyx_k_G2), 0, 0, 1, 1}, + {&__pyx_n_s_G3, __pyx_k_G3, sizeof(__pyx_k_G3), 0, 0, 1, 1}, + {&__pyx_kp_u_Get_purchased_pairs, __pyx_k_Get_purchased_pairs, sizeof(__pyx_k_Get_purchased_pairs), 0, 1, 0, 0}, + {&__pyx_kp_u_Get_skyline_aspects, __pyx_k_Get_skyline_aspects, sizeof(__pyx_k_Get_skyline_aspects), 0, 1, 0, 0}, + {&__pyx_n_s_I, __pyx_k_I, sizeof(__pyx_k_I), 0, 0, 1, 1}, + {&__pyx_n_s_ImportError, __pyx_k_ImportError, sizeof(__pyx_k_ImportError), 0, 0, 1, 1}, + {&__pyx_kp_s_Incompatible_checksums_s_vs_0xb0, __pyx_k_Incompatible_checksums_s_vs_0xb0, sizeof(__pyx_k_Incompatible_checksums_s_vs_0xb0), 0, 0, 1, 0}, + {&__pyx_n_s_IndexError, __pyx_k_IndexError, sizeof(__pyx_k_IndexError), 0, 0, 1, 1}, + {&__pyx_kp_s_Indirect_dimensions_not_supporte, __pyx_k_Indirect_dimensions_not_supporte, sizeof(__pyx_k_Indirect_dimensions_not_supporte), 0, 0, 1, 0}, + {&__pyx_kp_s_Invalid_mode_expected_c_or_fortr, __pyx_k_Invalid_mode_expected_c_or_fortr, sizeof(__pyx_k_Invalid_mode_expected_c_or_fortr), 0, 0, 1, 0}, + {&__pyx_kp_s_Invalid_shape_in_axis_d_d, __pyx_k_Invalid_shape_in_axis_d_d, sizeof(__pyx_k_Invalid_shape_in_axis_d_d), 0, 0, 1, 0}, + {&__pyx_n_s_MTER, __pyx_k_MTER, sizeof(__pyx_k_MTER), 0, 0, 1, 1}, + {&__pyx_n_s_MemoryError, __pyx_k_MemoryError, sizeof(__pyx_k_MemoryError), 0, 0, 1, 1}, + {&__pyx_kp_s_MemoryView_of_r_at_0x_x, __pyx_k_MemoryView_of_r_at_0x_x, sizeof(__pyx_k_MemoryView_of_r_at_0x_x), 0, 0, 1, 0}, + {&__pyx_kp_s_MemoryView_of_r_object, __pyx_k_MemoryView_of_r_object, sizeof(__pyx_k_MemoryView_of_r_object), 0, 0, 1, 0}, + {&__pyx_kp_s_No_matching_signature_found, __pyx_k_No_matching_signature_found, sizeof(__pyx_k_No_matching_signature_found), 0, 0, 1, 0}, + {&__pyx_kp_u_Non_native_byte_order_not_suppor, __pyx_k_Non_native_byte_order_not_suppor, sizeof(__pyx_k_Non_native_byte_order_not_suppor), 0, 1, 0, 0}, + {&__pyx_n_b_O, __pyx_k_O, sizeof(__pyx_k_O), 0, 0, 0, 1}, + {&__pyx_n_s_O, __pyx_k_O, sizeof(__pyx_k_O), 0, 0, 1, 1}, + {&__pyx_kp_u_Optimization_finished, __pyx_k_Optimization_finished, sizeof(__pyx_k_Optimization_finished), 0, 1, 0, 0}, + {&__pyx_n_s_OrderedDict, __pyx_k_OrderedDict, sizeof(__pyx_k_OrderedDict), 0, 0, 1, 1}, + {&__pyx_kp_s_Out_of_bounds_on_buffer_access_a, __pyx_k_Out_of_bounds_on_buffer_access_a, sizeof(__pyx_k_Out_of_bounds_on_buffer_access_a), 0, 0, 1, 0}, + {&__pyx_n_s_PickleError, __pyx_k_PickleError, sizeof(__pyx_k_PickleError), 0, 0, 1, 1}, + {&__pyx_n_s_Recommender, __pyx_k_Recommender, sizeof(__pyx_k_Recommender), 0, 0, 1, 1}, + {&__pyx_n_s_RuntimeError, __pyx_k_RuntimeError, sizeof(__pyx_k_RuntimeError), 0, 0, 1, 1}, + {&__pyx_n_s_ScoreException, __pyx_k_ScoreException, sizeof(__pyx_k_ScoreException), 0, 0, 1, 1}, + {&__pyx_kp_u_Statistics_aspect_pairs, __pyx_k_Statistics_aspect_pairs, sizeof(__pyx_k_Statistics_aspect_pairs), 0, 1, 0, 0}, + {&__pyx_n_s_TypeError, __pyx_k_TypeError, sizeof(__pyx_k_TypeError), 0, 0, 1, 1}, + {&__pyx_n_s_U, __pyx_k_U, sizeof(__pyx_k_U), 0, 0, 1, 1}, + {&__pyx_kp_s_Unable_to_convert_item_to_object, __pyx_k_Unable_to_convert_item_to_object, sizeof(__pyx_k_Unable_to_convert_item_to_object), 0, 0, 1, 0}, + {&__pyx_n_s_ValueError, __pyx_k_ValueError, sizeof(__pyx_k_ValueError), 0, 0, 1, 1}, + {&__pyx_n_s_View_MemoryView, __pyx_k_View_MemoryView, sizeof(__pyx_k_View_MemoryView), 0, 0, 1, 1}, + {&__pyx_n_s_X, __pyx_k_X, sizeof(__pyx_k_X), 0, 0, 1, 1}, + {&__pyx_n_s_X_aids, __pyx_k_X_aids, sizeof(__pyx_k_X_aids), 0, 0, 1, 1}, + {&__pyx_n_s_X_iids, __pyx_k_X_iids, sizeof(__pyx_k_X_iids), 0, 0, 1, 1}, + {&__pyx_n_s_X_uids, __pyx_k_X_uids, sizeof(__pyx_k_X_uids), 0, 0, 1, 1}, + {&__pyx_n_s_Y, __pyx_k_Y, sizeof(__pyx_k_Y), 0, 0, 1, 1}, + {&__pyx_n_s_YI, __pyx_k_YI, sizeof(__pyx_k_YI), 0, 0, 1, 1}, + {&__pyx_n_s_YI_aids, __pyx_k_YI_aids, sizeof(__pyx_k_YI_aids), 0, 0, 1, 1}, + {&__pyx_n_s_YI_iids, __pyx_k_YI_iids, sizeof(__pyx_k_YI_iids), 0, 0, 1, 1}, + {&__pyx_n_s_YI_oids, __pyx_k_YI_oids, sizeof(__pyx_k_YI_oids), 0, 0, 1, 1}, + {&__pyx_n_s_YU, __pyx_k_YU, sizeof(__pyx_k_YU), 0, 0, 1, 1}, + {&__pyx_n_s_YU_aids, __pyx_k_YU_aids, sizeof(__pyx_k_YU_aids), 0, 0, 1, 1}, + {&__pyx_n_s_YU_oids, __pyx_k_YU_oids, sizeof(__pyx_k_YU_oids), 0, 0, 1, 1}, + {&__pyx_n_s_YU_uids, __pyx_k_YU_uids, sizeof(__pyx_k_YU_uids), 0, 0, 1, 1}, + {&__pyx_kp_u__2, __pyx_k__2, sizeof(__pyx_k__2), 0, 1, 0, 0}, + {&__pyx_kp_u__3, __pyx_k__3, sizeof(__pyx_k__3), 0, 1, 0, 0}, + {&__pyx_n_s__35, __pyx_k__35, sizeof(__pyx_k__35), 0, 0, 1, 1}, + {&__pyx_n_s__39, __pyx_k__39, sizeof(__pyx_k__39), 0, 0, 1, 1}, + {&__pyx_kp_s__6, __pyx_k__6, sizeof(__pyx_k__6), 0, 0, 1, 0}, + {&__pyx_kp_s__7, __pyx_k__7, sizeof(__pyx_k__7), 0, 0, 1, 0}, + {&__pyx_n_s_a_idx, __pyx_k_a_idx, sizeof(__pyx_k_a_idx), 0, 0, 1, 1}, + {&__pyx_n_s_a_ji, __pyx_k_a_ji, sizeof(__pyx_k_a_ji), 0, 0, 1, 1}, + {&__pyx_n_s_aid, __pyx_k_aid, sizeof(__pyx_k_aid), 0, 0, 1, 1}, + {&__pyx_n_s_allocate_buffer, __pyx_k_allocate_buffer, sizeof(__pyx_k_allocate_buffer), 0, 0, 1, 1}, + {&__pyx_n_s_append, __pyx_k_append, sizeof(__pyx_k_append), 0, 0, 1, 1}, + {&__pyx_n_s_arange, __pyx_k_arange, sizeof(__pyx_k_arange), 0, 0, 1, 1}, + {&__pyx_n_s_args, __pyx_k_args, sizeof(__pyx_k_args), 0, 0, 1, 1}, + {&__pyx_n_s_array, __pyx_k_array, sizeof(__pyx_k_array), 0, 0, 1, 1}, + {&__pyx_n_s_asarray, __pyx_k_asarray, sizeof(__pyx_k_asarray), 0, 0, 1, 1}, + {&__pyx_n_s_aspect_bpr_loss, __pyx_k_aspect_bpr_loss, sizeof(__pyx_k_aspect_bpr_loss), 0, 0, 1, 1}, + {&__pyx_n_s_aspect_correct, __pyx_k_aspect_correct, sizeof(__pyx_k_aspect_correct), 0, 0, 1, 1}, + {&__pyx_n_s_aspect_idx, __pyx_k_aspect_idx, sizeof(__pyx_k_aspect_idx), 0, 0, 1, 1}, + {&__pyx_n_s_aspect_indices, __pyx_k_aspect_indices, sizeof(__pyx_k_aspect_indices), 0, 0, 1, 1}, + {&__pyx_n_s_astype, __pyx_k_astype, sizeof(__pyx_k_astype), 0, 0, 1, 1}, + {&__pyx_kp_u_avg, __pyx_k_avg, sizeof(__pyx_k_avg), 0, 1, 0, 0}, + {&__pyx_n_s_avg_sentiment, __pyx_k_avg_sentiment, sizeof(__pyx_k_avg_sentiment), 0, 0, 1, 1}, + {&__pyx_n_s_base, __pyx_k_base, sizeof(__pyx_k_base), 0, 0, 1, 1}, + {&__pyx_n_s_bpr_loss, __pyx_k_bpr_loss, sizeof(__pyx_k_bpr_loss), 0, 0, 1, 1}, + {&__pyx_n_u_bpr_loss, __pyx_k_bpr_loss, sizeof(__pyx_k_bpr_loss), 0, 1, 0, 1}, + {&__pyx_n_s_build_chrono_purchased_pairs, __pyx_k_build_chrono_purchased_pairs, sizeof(__pyx_k_build_chrono_purchased_pairs), 0, 0, 1, 1}, + {&__pyx_n_s_build_data, __pyx_k_build_data, sizeof(__pyx_k_build_data), 0, 0, 1, 1}, + {&__pyx_n_s_build_item_quality_matrix, __pyx_k_build_item_quality_matrix, sizeof(__pyx_k_build_item_quality_matrix), 0, 0, 1, 1}, + {&__pyx_n_s_c, __pyx_k_c, sizeof(__pyx_k_c), 0, 0, 1, 1}, + {&__pyx_n_u_c, __pyx_k_c, sizeof(__pyx_k_c), 0, 1, 0, 1}, + {&__pyx_n_s_chrono_purchased_pairs, __pyx_k_chrono_purchased_pairs, sizeof(__pyx_k_chrono_purchased_pairs), 0, 0, 1, 1}, + {&__pyx_n_s_chrono_user_data, __pyx_k_chrono_user_data, sizeof(__pyx_k_chrono_user_data), 0, 0, 1, 1}, + {&__pyx_n_s_class, __pyx_k_class, sizeof(__pyx_k_class), 0, 0, 1, 1}, + {&__pyx_n_s_cline_in_traceback, __pyx_k_cline_in_traceback, sizeof(__pyx_k_cline_in_traceback), 0, 0, 1, 1}, + {&__pyx_n_s_collections, __pyx_k_collections, sizeof(__pyx_k_collections), 0, 0, 1, 1}, + {&__pyx_n_s_combinations, __pyx_k_combinations, sizeof(__pyx_k_combinations), 0, 0, 1, 1}, + {&__pyx_n_s_common_aspect_counts, __pyx_k_common_aspect_counts, sizeof(__pyx_k_common_aspect_counts), 0, 0, 1, 1}, + {&__pyx_kp_u_comparable_pairs, __pyx_k_comparable_pairs, sizeof(__pyx_k_comparable_pairs), 0, 1, 0, 0}, + {&__pyx_n_s_compute_attention_score, __pyx_k_compute_attention_score, sizeof(__pyx_k_compute_attention_score), 0, 0, 1, 1}, + {&__pyx_n_s_compute_quality_score, __pyx_k_compute_quality_score, sizeof(__pyx_k_compute_quality_score), 0, 0, 1, 1}, + {&__pyx_kp_s_contiguous_and_direct, __pyx_k_contiguous_and_direct, sizeof(__pyx_k_contiguous_and_direct), 0, 0, 1, 0}, + {&__pyx_kp_s_contiguous_and_indirect, __pyx_k_contiguous_and_indirect, sizeof(__pyx_k_contiguous_and_indirect), 0, 0, 1, 0}, + {&__pyx_n_s_cornac_models_comparer_recom_com, __pyx_k_cornac_models_comparer_recom_com, sizeof(__pyx_k_cornac_models_comparer_recom_com), 0, 0, 1, 1}, + {&__pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_k_cornac_models_comparer_recom_com_2, sizeof(__pyx_k_cornac_models_comparer_recom_com_2), 0, 0, 1, 0}, + {&__pyx_n_s_correct, __pyx_k_correct, sizeof(__pyx_k_correct), 0, 0, 1, 1}, + {&__pyx_n_u_correct, __pyx_k_correct, sizeof(__pyx_k_correct), 0, 1, 0, 1}, + {&__pyx_n_s_count, __pyx_k_count, sizeof(__pyx_k_count), 0, 0, 1, 1}, + {&__pyx_n_s_counted_pairs, __pyx_k_counted_pairs, sizeof(__pyx_k_counted_pairs), 0, 0, 1, 1}, + {&__pyx_n_s_csr_matrix, __pyx_k_csr_matrix, sizeof(__pyx_k_csr_matrix), 0, 0, 1, 1}, + {&__pyx_n_u_d, __pyx_k_d, sizeof(__pyx_k_d), 0, 1, 0, 1}, + {&__pyx_n_s_data_set, __pyx_k_data_set, sizeof(__pyx_k_data_set), 0, 0, 1, 1}, + {&__pyx_n_s_defaults, __pyx_k_defaults, sizeof(__pyx_k_defaults), 0, 0, 1, 1}, + {&__pyx_n_s_del_a, __pyx_k_del_a, sizeof(__pyx_k_del_a), 0, 0, 1, 1}, + {&__pyx_n_s_del_a_reg, __pyx_k_del_a_reg, sizeof(__pyx_k_del_a_reg), 0, 0, 1, 1}, + {&__pyx_n_s_del_aspect_bpr, __pyx_k_del_aspect_bpr, sizeof(__pyx_k_del_aspect_bpr), 0, 0, 1, 1}, + {&__pyx_n_s_del_bpr, __pyx_k_del_bpr, sizeof(__pyx_k_del_bpr), 0, 0, 1, 1}, + {&__pyx_n_s_del_g1, __pyx_k_del_g1, sizeof(__pyx_k_del_g1), 0, 0, 1, 1}, + {&__pyx_n_s_del_g1_reg, __pyx_k_del_g1_reg, sizeof(__pyx_k_del_g1_reg), 0, 0, 1, 1}, + {&__pyx_n_s_del_g2, __pyx_k_del_g2, sizeof(__pyx_k_del_g2), 0, 0, 1, 1}, + {&__pyx_n_s_del_g2_reg, __pyx_k_del_g2_reg, sizeof(__pyx_k_del_g2_reg), 0, 0, 1, 1}, + {&__pyx_n_s_del_g3, __pyx_k_del_g3, sizeof(__pyx_k_del_g3), 0, 0, 1, 1}, + {&__pyx_n_s_del_g3_reg, __pyx_k_del_g3_reg, sizeof(__pyx_k_del_g3_reg), 0, 0, 1, 1}, + {&__pyx_n_s_del_i, __pyx_k_del_i, sizeof(__pyx_k_del_i), 0, 0, 1, 1}, + {&__pyx_n_s_del_i_reg, __pyx_k_del_i_reg, sizeof(__pyx_k_del_i_reg), 0, 0, 1, 1}, + {&__pyx_n_s_del_o, __pyx_k_del_o, sizeof(__pyx_k_del_o), 0, 0, 1, 1}, + {&__pyx_n_s_del_o_reg, __pyx_k_del_o_reg, sizeof(__pyx_k_del_o_reg), 0, 0, 1, 1}, + {&__pyx_n_s_del_sqerror, __pyx_k_del_sqerror, sizeof(__pyx_k_del_sqerror), 0, 0, 1, 1}, + {&__pyx_n_s_del_u, __pyx_k_del_u, sizeof(__pyx_k_del_u), 0, 0, 1, 1}, + {&__pyx_n_s_del_u_reg, __pyx_k_del_u_reg, sizeof(__pyx_k_del_u_reg), 0, 0, 1, 1}, + {&__pyx_n_s_desc, __pyx_k_desc, sizeof(__pyx_k_desc), 0, 0, 1, 1}, + {&__pyx_n_s_dict, __pyx_k_dict, sizeof(__pyx_k_dict), 0, 0, 1, 1}, + {&__pyx_n_s_disable, __pyx_k_disable, sizeof(__pyx_k_disable), 0, 0, 1, 1}, + {&__pyx_n_s_doc, __pyx_k_doc, sizeof(__pyx_k_doc), 0, 0, 1, 1}, + {&__pyx_n_s_double, __pyx_k_double, sizeof(__pyx_k_double), 0, 0, 1, 1}, + {&__pyx_kp_s_double_int, __pyx_k_double_int, sizeof(__pyx_k_double_int), 0, 0, 1, 0}, + {&__pyx_kp_s_double_long, __pyx_k_double_long, sizeof(__pyx_k_double_long), 0, 0, 1, 0}, + {&__pyx_kp_s_double_short, __pyx_k_double_short, sizeof(__pyx_k_double_short), 0, 0, 1, 0}, + {&__pyx_n_s_dtype, __pyx_k_dtype, sizeof(__pyx_k_dtype), 0, 0, 1, 1}, + {&__pyx_n_s_dtype_is_object, __pyx_k_dtype_is_object, sizeof(__pyx_k_dtype_is_object), 0, 0, 1, 1}, + {&__pyx_n_s_earlier_indices, __pyx_k_earlier_indices, sizeof(__pyx_k_earlier_indices), 0, 0, 1, 1}, + {&__pyx_n_s_earlier_item_idx, __pyx_k_earlier_item_idx, sizeof(__pyx_k_earlier_item_idx), 0, 0, 1, 1}, + {&__pyx_kp_u_earlier_later_pairs, __pyx_k_earlier_later_pairs, sizeof(__pyx_k_earlier_later_pairs), 0, 1, 0, 0}, + {&__pyx_n_s_ediff1d, __pyx_k_ediff1d, sizeof(__pyx_k_ediff1d), 0, 0, 1, 1}, + {&__pyx_n_s_encode, __pyx_k_encode, sizeof(__pyx_k_encode), 0, 0, 1, 1}, + {&__pyx_n_s_enter, __pyx_k_enter, sizeof(__pyx_k_enter), 0, 0, 1, 1}, + {&__pyx_n_s_enum_window, __pyx_k_enum_window, sizeof(__pyx_k_enum_window), 0, 0, 1, 1}, + {&__pyx_n_s_enumerate, __pyx_k_enumerate, sizeof(__pyx_k_enumerate), 0, 0, 1, 1}, + {&__pyx_n_s_epoch, __pyx_k_epoch, sizeof(__pyx_k_epoch), 0, 0, 1, 1}, + {&__pyx_n_s_eps, __pyx_k_eps, sizeof(__pyx_k_eps), 0, 0, 1, 1}, + {&__pyx_n_s_error, __pyx_k_error, sizeof(__pyx_k_error), 0, 0, 1, 1}, + {&__pyx_n_s_exception, __pyx_k_exception, sizeof(__pyx_k_exception), 0, 0, 1, 1}, + {&__pyx_n_s_exit, __pyx_k_exit, sizeof(__pyx_k_exit), 0, 0, 1, 1}, + {&__pyx_n_s_fill, __pyx_k_fill, sizeof(__pyx_k_fill), 0, 0, 1, 1}, + {&__pyx_n_s_fit, __pyx_k_fit, sizeof(__pyx_k_fit), 0, 0, 1, 1}, + {&__pyx_n_s_fit_mter, __pyx_k_fit_mter, sizeof(__pyx_k_fit_mter), 0, 0, 1, 1}, + {&__pyx_n_s_flags, __pyx_k_flags, sizeof(__pyx_k_flags), 0, 0, 1, 1}, + {&__pyx_n_s_flatten, __pyx_k_flatten, sizeof(__pyx_k_flatten), 0, 0, 1, 1}, + {&__pyx_n_s_float, __pyx_k_float, sizeof(__pyx_k_float), 0, 0, 1, 1}, + {&__pyx_n_s_float32, __pyx_k_float32, sizeof(__pyx_k_float32), 0, 0, 1, 1}, + {&__pyx_n_s_float64, __pyx_k_float64, sizeof(__pyx_k_float64), 0, 0, 1, 1}, + {&__pyx_kp_s_float_int, __pyx_k_float_int, sizeof(__pyx_k_float_int), 0, 0, 1, 0}, + {&__pyx_kp_s_float_long, __pyx_k_float_long, sizeof(__pyx_k_float_long), 0, 0, 1, 0}, + {&__pyx_kp_s_float_short, __pyx_k_float_short, sizeof(__pyx_k_float_short), 0, 0, 1, 0}, + {&__pyx_n_s_format, __pyx_k_format, sizeof(__pyx_k_format), 0, 0, 1, 1}, + {&__pyx_n_s_fortran, __pyx_k_fortran, sizeof(__pyx_k_fortran), 0, 0, 1, 1}, + {&__pyx_n_u_fortran, __pyx_k_fortran, sizeof(__pyx_k_fortran), 0, 1, 0, 1}, + {&__pyx_n_s_get, __pyx_k_get, sizeof(__pyx_k_get), 0, 0, 1, 1}, + {&__pyx_n_s_get_rng, __pyx_k_get_rng, sizeof(__pyx_k_get_rng), 0, 0, 1, 1}, + {&__pyx_n_s_getstate, __pyx_k_getstate, sizeof(__pyx_k_getstate), 0, 0, 1, 1}, + {&__pyx_kp_s_got_differing_extents_in_dimensi, __pyx_k_got_differing_extents_in_dimensi, sizeof(__pyx_k_got_differing_extents_in_dimensi), 0, 0, 1, 0}, + {&__pyx_n_s_i, __pyx_k_i, sizeof(__pyx_k_i), 0, 0, 1, 1}, + {&__pyx_n_s_i_idx, __pyx_k_i_idx, sizeof(__pyx_k_i_idx), 0, 0, 1, 1}, + {&__pyx_n_s_i_ij, __pyx_k_i_ij, sizeof(__pyx_k_i_ij), 0, 0, 1, 1}, + {&__pyx_n_s_i_index, __pyx_k_i_index, sizeof(__pyx_k_i_index), 0, 0, 1, 1}, + {&__pyx_n_s_i_indices, __pyx_k_i_indices, sizeof(__pyx_k_i_indices), 0, 0, 1, 1}, + {&__pyx_n_s_i_score, __pyx_k_i_score, sizeof(__pyx_k_i_score), 0, 0, 1, 1}, + {&__pyx_n_s_id, __pyx_k_id, sizeof(__pyx_k_id), 0, 0, 1, 1}, + {&__pyx_n_s_idx, __pyx_k_idx, sizeof(__pyx_k_idx), 0, 0, 1, 1}, + {&__pyx_n_s_iid, __pyx_k_iid, sizeof(__pyx_k_iid), 0, 0, 1, 1}, + {&__pyx_n_s_import, __pyx_k_import, sizeof(__pyx_k_import), 0, 0, 1, 1}, + {&__pyx_n_s_indices, __pyx_k_indices, sizeof(__pyx_k_indices), 0, 0, 1, 1}, + {&__pyx_n_s_indptr, __pyx_k_indptr, sizeof(__pyx_k_indptr), 0, 0, 1, 1}, + {&__pyx_n_s_init, __pyx_k_init, sizeof(__pyx_k_init), 0, 0, 1, 1}, + {&__pyx_n_s_init_2, __pyx_k_init_2, sizeof(__pyx_k_init_2), 0, 0, 1, 1}, + {&__pyx_n_s_init_params, __pyx_k_init_params, sizeof(__pyx_k_init_params), 0, 0, 1, 1}, + {&__pyx_n_s_int, __pyx_k_int, sizeof(__pyx_k_int), 0, 0, 1, 1}, + {&__pyx_n_s_int32, __pyx_k_int32, sizeof(__pyx_k_int32), 0, 0, 1, 1}, + {&__pyx_n_s_intp, __pyx_k_intp, sizeof(__pyx_k_intp), 0, 0, 1, 1}, + {&__pyx_n_s_is_unk_item, __pyx_k_is_unk_item, sizeof(__pyx_k_is_unk_item), 0, 0, 1, 1}, + {&__pyx_n_s_is_unk_user, __pyx_k_is_unk_user, sizeof(__pyx_k_is_unk_user), 0, 0, 1, 1}, + {&__pyx_n_s_item_aspect_count, __pyx_k_item_aspect_count, sizeof(__pyx_k_item_aspect_count), 0, 0, 1, 1}, + {&__pyx_n_s_item_aspect_opinion, __pyx_k_item_aspect_opinion, sizeof(__pyx_k_item_aspect_opinion), 0, 0, 1, 1}, + {&__pyx_n_s_item_aspects, __pyx_k_item_aspects, sizeof(__pyx_k_item_aspects), 0, 0, 1, 1}, + {&__pyx_n_s_item_ids, __pyx_k_item_ids, sizeof(__pyx_k_item_ids), 0, 0, 1, 1}, + {&__pyx_n_s_item_sentiment, __pyx_k_item_sentiment, sizeof(__pyx_k_item_sentiment), 0, 0, 1, 1}, + {&__pyx_n_s_items, __pyx_k_items, sizeof(__pyx_k_items), 0, 0, 1, 1}, + {&__pyx_n_s_itemsize, __pyx_k_itemsize, sizeof(__pyx_k_itemsize), 0, 0, 1, 1}, + {&__pyx_kp_s_itemsize_0_for_cython_array, __pyx_k_itemsize_0_for_cython_array, sizeof(__pyx_k_itemsize_0_for_cython_array), 0, 0, 1, 0}, + {&__pyx_n_s_itertools, __pyx_k_itertools, sizeof(__pyx_k_itertools), 0, 0, 1, 1}, + {&__pyx_n_s_j, __pyx_k_j, sizeof(__pyx_k_j), 0, 0, 1, 1}, + {&__pyx_n_s_j_idx, __pyx_k_j_idx, sizeof(__pyx_k_j_idx), 0, 0, 1, 1}, + {&__pyx_n_s_j_index, __pyx_k_j_index, sizeof(__pyx_k_j_index), 0, 0, 1, 1}, + {&__pyx_n_s_j_score, __pyx_k_j_score, sizeof(__pyx_k_j_score), 0, 0, 1, 1}, + {&__pyx_n_s_jdx, __pyx_k_jdx, sizeof(__pyx_k_jdx), 0, 0, 1, 1}, + {&__pyx_n_s_k, __pyx_k_k, sizeof(__pyx_k_k), 0, 0, 1, 1}, + {&__pyx_n_s_key, __pyx_k_key, sizeof(__pyx_k_key), 0, 0, 1, 1}, + {&__pyx_n_s_keys, __pyx_k_keys, sizeof(__pyx_k_keys), 0, 0, 1, 1}, + {&__pyx_n_s_kind, __pyx_k_kind, sizeof(__pyx_k_kind), 0, 0, 1, 1}, + {&__pyx_n_s_kwargs, __pyx_k_kwargs, sizeof(__pyx_k_kwargs), 0, 0, 1, 1}, + {&__pyx_n_s_lambda_bpr, __pyx_k_lambda_bpr, sizeof(__pyx_k_lambda_bpr), 0, 0, 1, 1}, + {&__pyx_n_s_lambda_d, __pyx_k_lambda_d, sizeof(__pyx_k_lambda_d), 0, 0, 1, 1}, + {&__pyx_n_s_lambda_reg, __pyx_k_lambda_reg, sizeof(__pyx_k_lambda_reg), 0, 0, 1, 1}, + {&__pyx_n_s_later_indices, __pyx_k_later_indices, sizeof(__pyx_k_later_indices), 0, 0, 1, 1}, + {&__pyx_n_s_later_item_idx, __pyx_k_later_item_idx, sizeof(__pyx_k_later_item_idx), 0, 0, 1, 1}, + {&__pyx_n_s_ld_bpr, __pyx_k_ld_bpr, sizeof(__pyx_k_ld_bpr), 0, 0, 1, 1}, + {&__pyx_n_s_ld_reg, __pyx_k_ld_reg, sizeof(__pyx_k_ld_reg), 0, 0, 1, 1}, + {&__pyx_n_s_long, __pyx_k_long, sizeof(__pyx_k_long), 0, 0, 1, 1}, + {&__pyx_n_s_loss, __pyx_k_loss, sizeof(__pyx_k_loss), 0, 0, 1, 1}, + {&__pyx_n_u_loss, __pyx_k_loss, sizeof(__pyx_k_loss), 0, 1, 0, 1}, + {&__pyx_n_s_lr, __pyx_k_lr, sizeof(__pyx_k_lr), 0, 0, 1, 1}, + {&__pyx_n_s_main, __pyx_k_main, sizeof(__pyx_k_main), 0, 0, 1, 1}, + {&__pyx_n_s_map_aspect_id, __pyx_k_map_aspect_id, sizeof(__pyx_k_map_aspect_id), 0, 0, 1, 1}, + {&__pyx_n_s_map_iid, __pyx_k_map_iid, sizeof(__pyx_k_map_iid), 0, 0, 1, 1}, + {&__pyx_kp_u_max, __pyx_k_max, sizeof(__pyx_k_max), 0, 1, 0, 0}, + {&__pyx_n_s_max_2, __pyx_k_max_2, sizeof(__pyx_k_max_2), 0, 0, 1, 1}, + {&__pyx_n_s_max_iter, __pyx_k_max_iter, sizeof(__pyx_k_max_iter), 0, 0, 1, 1}, + {&__pyx_n_s_mean, __pyx_k_mean, sizeof(__pyx_k_mean), 0, 0, 1, 1}, + {&__pyx_n_s_memview, __pyx_k_memview, sizeof(__pyx_k_memview), 0, 0, 1, 1}, + {&__pyx_n_s_metaclass, __pyx_k_metaclass, sizeof(__pyx_k_metaclass), 0, 0, 1, 1}, + {&__pyx_kp_u_min, __pyx_k_min, sizeof(__pyx_k_min), 0, 1, 0, 0}, + {&__pyx_n_s_min_2, __pyx_k_min_2, sizeof(__pyx_k_min_2), 0, 0, 1, 1}, + {&__pyx_n_s_min_common_freq, __pyx_k_min_common_freq, sizeof(__pyx_k_min_common_freq), 0, 0, 1, 1}, + {&__pyx_n_s_min_pair_freq, __pyx_k_min_pair_freq, sizeof(__pyx_k_min_pair_freq), 0, 0, 1, 1}, + {&__pyx_n_s_min_user_freq, __pyx_k_min_user_freq, sizeof(__pyx_k_min_user_freq), 0, 0, 1, 1}, + {&__pyx_n_s_mode, __pyx_k_mode, sizeof(__pyx_k_mode), 0, 0, 1, 1}, + {&__pyx_n_s_module, __pyx_k_module, sizeof(__pyx_k_module), 0, 0, 1, 1}, + {&__pyx_n_s_most_common, __pyx_k_most_common, sizeof(__pyx_k_most_common), 0, 0, 1, 1}, + {&__pyx_n_s_mp, __pyx_k_mp, sizeof(__pyx_k_mp), 0, 0, 1, 1}, + {&__pyx_n_s_mter, __pyx_k_mter, sizeof(__pyx_k_mter), 0, 0, 1, 1}, + {&__pyx_n_s_multiprocessing, __pyx_k_multiprocessing, sizeof(__pyx_k_multiprocessing), 0, 0, 1, 1}, + {&__pyx_n_s_n_aspect_factors, __pyx_k_n_aspect_factors, sizeof(__pyx_k_n_aspect_factors), 0, 0, 1, 1}, + {&__pyx_n_s_n_aspects, __pyx_k_n_aspects, sizeof(__pyx_k_n_aspects), 0, 0, 1, 1}, + {&__pyx_n_s_n_bpr_samples, __pyx_k_n_bpr_samples, sizeof(__pyx_k_n_bpr_samples), 0, 0, 1, 1}, + {&__pyx_n_s_n_element_samples, __pyx_k_n_element_samples, sizeof(__pyx_k_n_element_samples), 0, 0, 1, 1}, + {&__pyx_n_s_n_item_factors, __pyx_k_n_item_factors, sizeof(__pyx_k_n_item_factors), 0, 0, 1, 1}, + {&__pyx_n_s_n_items, __pyx_k_n_items, sizeof(__pyx_k_n_items), 0, 0, 1, 1}, + {&__pyx_n_s_n_opinion_factors, __pyx_k_n_opinion_factors, sizeof(__pyx_k_n_opinion_factors), 0, 0, 1, 1}, + {&__pyx_n_s_n_opinions, __pyx_k_n_opinions, sizeof(__pyx_k_n_opinions), 0, 0, 1, 1}, + {&__pyx_n_s_n_pair_samples, __pyx_k_n_pair_samples, sizeof(__pyx_k_n_pair_samples), 0, 0, 1, 1}, + {&__pyx_n_s_n_threads, __pyx_k_n_threads, sizeof(__pyx_k_n_threads), 0, 0, 1, 1}, + {&__pyx_n_s_n_user_factors, __pyx_k_n_user_factors, sizeof(__pyx_k_n_user_factors), 0, 0, 1, 1}, + {&__pyx_n_s_n_users, __pyx_k_n_users, sizeof(__pyx_k_n_users), 0, 0, 1, 1}, + {&__pyx_n_s_name, __pyx_k_name, sizeof(__pyx_k_name), 0, 0, 1, 1}, + {&__pyx_n_s_name_2, __pyx_k_name_2, sizeof(__pyx_k_name_2), 0, 0, 1, 1}, + {&__pyx_kp_u_ndarray_is_not_C_contiguous, __pyx_k_ndarray_is_not_C_contiguous, sizeof(__pyx_k_ndarray_is_not_C_contiguous), 0, 1, 0, 0}, + {&__pyx_kp_u_ndarray_is_not_Fortran_contiguou, __pyx_k_ndarray_is_not_Fortran_contiguou, sizeof(__pyx_k_ndarray_is_not_Fortran_contiguou), 0, 1, 0, 0}, + {&__pyx_n_s_ndim, __pyx_k_ndim, sizeof(__pyx_k_ndim), 0, 0, 1, 1}, + {&__pyx_n_s_neg_item_ids, __pyx_k_neg_item_ids, sizeof(__pyx_k_neg_item_ids), 0, 0, 1, 1}, + {&__pyx_n_s_new, __pyx_k_new, sizeof(__pyx_k_new), 0, 0, 1, 1}, + {&__pyx_kp_s_no_default___reduce___due_to_non, __pyx_k_no_default___reduce___due_to_non, sizeof(__pyx_k_no_default___reduce___due_to_non), 0, 0, 1, 0}, + {&__pyx_kp_u_not_dominated_pairs, __pyx_k_not_dominated_pairs, sizeof(__pyx_k_not_dominated_pairs), 0, 1, 0, 0}, + {&__pyx_n_s_not_dominated_pairs_2, __pyx_k_not_dominated_pairs_2, sizeof(__pyx_k_not_dominated_pairs_2), 0, 0, 1, 1}, + {&__pyx_n_s_np, __pyx_k_np, sizeof(__pyx_k_np), 0, 0, 1, 1}, + {&__pyx_n_s_num_aspects, __pyx_k_num_aspects, sizeof(__pyx_k_num_aspects), 0, 0, 1, 1}, + {&__pyx_n_s_num_bpr_samples, __pyx_k_num_bpr_samples, sizeof(__pyx_k_num_bpr_samples), 0, 0, 1, 1}, + {&__pyx_n_s_num_items, __pyx_k_num_items, sizeof(__pyx_k_num_items), 0, 0, 1, 1}, + {&__pyx_n_s_num_opinions, __pyx_k_num_opinions, sizeof(__pyx_k_num_opinions), 0, 0, 1, 1}, + {&__pyx_n_s_num_pair_samples, __pyx_k_num_pair_samples, sizeof(__pyx_k_num_pair_samples), 0, 0, 1, 1}, + {&__pyx_n_s_num_samples, __pyx_k_num_samples, sizeof(__pyx_k_num_samples), 0, 0, 1, 1}, + {&__pyx_n_s_num_users, __pyx_k_num_users, sizeof(__pyx_k_num_users), 0, 0, 1, 1}, + {&__pyx_n_s_numpy, __pyx_k_numpy, sizeof(__pyx_k_numpy), 0, 0, 1, 1}, + {&__pyx_kp_u_numpy_core_multiarray_failed_to, __pyx_k_numpy_core_multiarray_failed_to, sizeof(__pyx_k_numpy_core_multiarray_failed_to), 0, 1, 0, 0}, + {&__pyx_kp_u_numpy_core_umath_failed_to_impor, __pyx_k_numpy_core_umath_failed_to_impor, sizeof(__pyx_k_numpy_core_umath_failed_to_impor), 0, 1, 0, 0}, + {&__pyx_n_s_o_idx, __pyx_k_o_idx, sizeof(__pyx_k_o_idx), 0, 0, 1, 1}, + {&__pyx_n_s_obj, __pyx_k_obj, sizeof(__pyx_k_obj), 0, 0, 1, 1}, + {&__pyx_n_s_oid, __pyx_k_oid, sizeof(__pyx_k_oid), 0, 0, 1, 1}, + {&__pyx_n_s_p_user_indices, __pyx_k_p_user_indices, sizeof(__pyx_k_p_user_indices), 0, 0, 1, 1}, + {&__pyx_n_s_pack, __pyx_k_pack, sizeof(__pyx_k_pack), 0, 0, 1, 1}, + {&__pyx_n_s_pair_counts, __pyx_k_pair_counts, sizeof(__pyx_k_pair_counts), 0, 0, 1, 1}, + {&__pyx_n_s_pair_freq, __pyx_k_pair_freq, sizeof(__pyx_k_pair_freq), 0, 0, 1, 1}, + {&__pyx_n_s_pickle, __pyx_k_pickle, sizeof(__pyx_k_pickle), 0, 0, 1, 1}, + {&__pyx_n_s_polarity, __pyx_k_polarity, sizeof(__pyx_k_polarity), 0, 0, 1, 1}, + {&__pyx_n_s_pred, __pyx_k_pred, sizeof(__pyx_k_pred), 0, 0, 1, 1}, + {&__pyx_n_s_prepare, __pyx_k_prepare, sizeof(__pyx_k_prepare), 0, 0, 1, 1}, + {&__pyx_n_s_print, __pyx_k_print, sizeof(__pyx_k_print), 0, 0, 1, 1}, + {&__pyx_n_s_progress, __pyx_k_progress, sizeof(__pyx_k_progress), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_PickleError, __pyx_k_pyx_PickleError, sizeof(__pyx_k_pyx_PickleError), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_checksum, __pyx_k_pyx_checksum, sizeof(__pyx_k_pyx_checksum), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_getbuffer, __pyx_k_pyx_getbuffer, sizeof(__pyx_k_pyx_getbuffer), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_result, __pyx_k_pyx_result, sizeof(__pyx_k_pyx_result), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_state, __pyx_k_pyx_state, sizeof(__pyx_k_pyx_state), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_type, __pyx_k_pyx_type, sizeof(__pyx_k_pyx_type), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_unpickle_Enum, __pyx_k_pyx_unpickle_Enum, sizeof(__pyx_k_pyx_unpickle_Enum), 0, 0, 1, 1}, + {&__pyx_n_s_pyx_vtable, __pyx_k_pyx_vtable, sizeof(__pyx_k_pyx_vtable), 0, 0, 1, 1}, + {&__pyx_n_s_quality_scores, __pyx_k_quality_scores, sizeof(__pyx_k_quality_scores), 0, 0, 1, 1}, + {&__pyx_n_s_qualname, __pyx_k_qualname, sizeof(__pyx_k_qualname), 0, 0, 1, 1}, + {&__pyx_n_s_r_values, __pyx_k_r_values, sizeof(__pyx_k_r_values), 0, 0, 1, 1}, + {&__pyx_n_s_randint, __pyx_k_randint, sizeof(__pyx_k_randint), 0, 0, 1, 1}, + {&__pyx_n_s_range, __pyx_k_range, sizeof(__pyx_k_range), 0, 0, 1, 1}, + {&__pyx_n_s_rating_dict, __pyx_k_rating_dict, sizeof(__pyx_k_rating_dict), 0, 0, 1, 1}, + {&__pyx_n_s_rating_matrix, __pyx_k_rating_matrix, sizeof(__pyx_k_rating_matrix), 0, 0, 1, 1}, + {&__pyx_n_s_rating_scale, __pyx_k_rating_scale, sizeof(__pyx_k_rating_scale), 0, 0, 1, 1}, + {&__pyx_n_s_recommender, __pyx_k_recommender, sizeof(__pyx_k_recommender), 0, 0, 1, 1}, + {&__pyx_n_s_reduce, __pyx_k_reduce, sizeof(__pyx_k_reduce), 0, 0, 1, 1}, + {&__pyx_n_s_reduce_cython, __pyx_k_reduce_cython, sizeof(__pyx_k_reduce_cython), 0, 0, 1, 1}, + {&__pyx_n_s_reduce_ex, __pyx_k_reduce_ex, sizeof(__pyx_k_reduce_ex), 0, 0, 1, 1}, + {&__pyx_n_s_repeat, __pyx_k_repeat, sizeof(__pyx_k_repeat), 0, 0, 1, 1}, + {&__pyx_n_s_rng, __pyx_k_rng, sizeof(__pyx_k_rng), 0, 0, 1, 1}, + {&__pyx_n_s_rng_neg, __pyx_k_rng_neg, sizeof(__pyx_k_rng_neg), 0, 0, 1, 1}, + {&__pyx_n_s_rng_pos, __pyx_k_rng_pos, sizeof(__pyx_k_rng_pos), 0, 0, 1, 1}, + {&__pyx_n_s_rng_pos_iao, __pyx_k_rng_pos_iao, sizeof(__pyx_k_rng_pos_iao), 0, 0, 1, 1}, + {&__pyx_n_s_rng_pos_pair, __pyx_k_rng_pos_pair, sizeof(__pyx_k_rng_pos_pair), 0, 0, 1, 1}, + {&__pyx_n_s_rng_pos_uao, __pyx_k_rng_pos_uao, sizeof(__pyx_k_rng_pos_uao), 0, 0, 1, 1}, + {&__pyx_n_s_rng_pos_uia, __pyx_k_rng_pos_uia, sizeof(__pyx_k_rng_pos_uia), 0, 0, 1, 1}, + {&__pyx_n_s_s, __pyx_k_s, sizeof(__pyx_k_s), 0, 0, 1, 1}, + {&__pyx_n_s_scipy_sparse, __pyx_k_scipy_sparse, sizeof(__pyx_k_scipy_sparse), 0, 0, 1, 1}, + {&__pyx_n_s_score, __pyx_k_score, sizeof(__pyx_k_score), 0, 0, 1, 1}, + {&__pyx_n_s_seed, __pyx_k_seed, sizeof(__pyx_k_seed), 0, 0, 1, 1}, + {&__pyx_n_s_self, __pyx_k_self, sizeof(__pyx_k_self), 0, 0, 1, 1}, + {&__pyx_n_s_sentiment, __pyx_k_sentiment, sizeof(__pyx_k_sentiment), 0, 0, 1, 1}, + {&__pyx_n_s_sentiment_polarity, __pyx_k_sentiment_polarity, sizeof(__pyx_k_sentiment_polarity), 0, 0, 1, 1}, + {&__pyx_n_s_sentiment_tup_ids_by_item, __pyx_k_sentiment_tup_ids_by_item, sizeof(__pyx_k_sentiment_tup_ids_by_item), 0, 0, 1, 1}, + {&__pyx_n_s_sentiment_tup_ids_by_user, __pyx_k_sentiment_tup_ids_by_user, sizeof(__pyx_k_sentiment_tup_ids_by_user), 0, 0, 1, 1}, + {&__pyx_n_s_set_postfix, __pyx_k_set_postfix, sizeof(__pyx_k_set_postfix), 0, 0, 1, 1}, + {&__pyx_n_s_setstate, __pyx_k_setstate, sizeof(__pyx_k_setstate), 0, 0, 1, 1}, + {&__pyx_n_s_setstate_cython, __pyx_k_setstate_cython, sizeof(__pyx_k_setstate_cython), 0, 0, 1, 1}, + {&__pyx_n_s_sgrad_A, __pyx_k_sgrad_A, sizeof(__pyx_k_sgrad_A), 0, 0, 1, 1}, + {&__pyx_n_s_sgrad_G1, __pyx_k_sgrad_G1, sizeof(__pyx_k_sgrad_G1), 0, 0, 1, 1}, + {&__pyx_n_s_sgrad_G2, __pyx_k_sgrad_G2, sizeof(__pyx_k_sgrad_G2), 0, 0, 1, 1}, + {&__pyx_n_s_sgrad_G3, __pyx_k_sgrad_G3, sizeof(__pyx_k_sgrad_G3), 0, 0, 1, 1}, + {&__pyx_n_s_sgrad_I, __pyx_k_sgrad_I, sizeof(__pyx_k_sgrad_I), 0, 0, 1, 1}, + {&__pyx_n_s_sgrad_O, __pyx_k_sgrad_O, sizeof(__pyx_k_sgrad_O), 0, 0, 1, 1}, + {&__pyx_n_s_sgrad_U, __pyx_k_sgrad_U, sizeof(__pyx_k_sgrad_U), 0, 0, 1, 1}, + {&__pyx_n_s_shape, __pyx_k_shape, sizeof(__pyx_k_shape), 0, 0, 1, 1}, + {&__pyx_n_s_short, __pyx_k_short, sizeof(__pyx_k_short), 0, 0, 1, 1}, + {&__pyx_n_s_signatures, __pyx_k_signatures, sizeof(__pyx_k_signatures), 0, 0, 1, 1}, + {&__pyx_n_s_size, __pyx_k_size, sizeof(__pyx_k_size), 0, 0, 1, 1}, + {&__pyx_n_s_skipped, __pyx_k_skipped, sizeof(__pyx_k_skipped), 0, 0, 1, 1}, + {&__pyx_n_u_skipped, __pyx_k_skipped, sizeof(__pyx_k_skipped), 0, 1, 0, 1}, + {&__pyx_n_s_sp, __pyx_k_sp, sizeof(__pyx_k_sp), 0, 0, 1, 1}, + {&__pyx_n_s_split, __pyx_k_split, sizeof(__pyx_k_split), 0, 0, 1, 1}, + {&__pyx_n_s_start, __pyx_k_start, sizeof(__pyx_k_start), 0, 0, 1, 1}, + {&__pyx_n_s_start_time, __pyx_k_start_time, sizeof(__pyx_k_start_time), 0, 0, 1, 1}, + {&__pyx_n_s_step, __pyx_k_step, sizeof(__pyx_k_step), 0, 0, 1, 1}, + {&__pyx_n_s_stop, __pyx_k_stop, sizeof(__pyx_k_stop), 0, 0, 1, 1}, + {&__pyx_kp_s_strided_and_direct, __pyx_k_strided_and_direct, sizeof(__pyx_k_strided_and_direct), 0, 0, 1, 0}, + {&__pyx_kp_s_strided_and_direct_or_indirect, __pyx_k_strided_and_direct_or_indirect, sizeof(__pyx_k_strided_and_direct_or_indirect), 0, 0, 1, 0}, + {&__pyx_kp_s_strided_and_indirect, __pyx_k_strided_and_indirect, sizeof(__pyx_k_strided_and_indirect), 0, 0, 1, 0}, + {&__pyx_kp_s_stringsource, __pyx_k_stringsource, sizeof(__pyx_k_stringsource), 0, 0, 1, 0}, + {&__pyx_n_s_strip, __pyx_k_strip, sizeof(__pyx_k_strip), 0, 0, 1, 1}, + {&__pyx_n_s_struct, __pyx_k_struct, sizeof(__pyx_k_struct), 0, 0, 1, 1}, + {&__pyx_n_s_sub_item_ids, __pyx_k_sub_item_ids, sizeof(__pyx_k_sub_item_ids), 0, 0, 1, 1}, + {&__pyx_n_s_sum, __pyx_k_sum, sizeof(__pyx_k_sum), 0, 0, 1, 1}, + {&__pyx_n_s_super, __pyx_k_super, sizeof(__pyx_k_super), 0, 0, 1, 1}, + {&__pyx_n_s_temp, __pyx_k_temp, sizeof(__pyx_k_temp), 0, 0, 1, 1}, + {&__pyx_n_s_test, __pyx_k_test, sizeof(__pyx_k_test), 0, 0, 1, 1}, + {&__pyx_n_s_thread_id, __pyx_k_thread_id, sizeof(__pyx_k_thread_id), 0, 0, 1, 1}, + {&__pyx_n_s_time, __pyx_k_time, sizeof(__pyx_k_time), 0, 0, 1, 1}, + {&__pyx_n_s_total_sentiment, __pyx_k_total_sentiment, sizeof(__pyx_k_total_sentiment), 0, 0, 1, 1}, + {&__pyx_n_s_total_sentiment_by_aspect, __pyx_k_total_sentiment_by_aspect, sizeof(__pyx_k_total_sentiment_by_aspect), 0, 0, 1, 1}, + {&__pyx_n_s_total_time, __pyx_k_total_time, sizeof(__pyx_k_total_time), 0, 0, 1, 1}, + {&__pyx_n_s_tqdm, __pyx_k_tqdm, sizeof(__pyx_k_tqdm), 0, 0, 1, 1}, + {&__pyx_n_s_train_set, __pyx_k_train_set, sizeof(__pyx_k_train_set), 0, 0, 1, 1}, + {&__pyx_n_s_trainable, __pyx_k_trainable, sizeof(__pyx_k_trainable), 0, 0, 1, 1}, + {&__pyx_n_s_trange, __pyx_k_trange, sizeof(__pyx_k_trange), 0, 0, 1, 1}, + {&__pyx_n_s_tup, __pyx_k_tup, sizeof(__pyx_k_tup), 0, 0, 1, 1}, + {&__pyx_n_s_tup_id, __pyx_k_tup_id, sizeof(__pyx_k_tup_id), 0, 0, 1, 1}, + {&__pyx_n_s_tup_idx, __pyx_k_tup_idx, sizeof(__pyx_k_tup_idx), 0, 0, 1, 1}, + {&__pyx_n_s_u, __pyx_k_u, sizeof(__pyx_k_u), 0, 0, 1, 1}, + {&__pyx_n_s_u_idx, __pyx_k_u_idx, sizeof(__pyx_k_u_idx), 0, 0, 1, 1}, + {&__pyx_n_s_u_indices, __pyx_k_u_indices, sizeof(__pyx_k_u_indices), 0, 0, 1, 1}, + {&__pyx_n_s_uid, __pyx_k_uid, sizeof(__pyx_k_uid), 0, 0, 1, 1}, + {&__pyx_n_s_uir_tuple, __pyx_k_uir_tuple, sizeof(__pyx_k_uir_tuple), 0, 0, 1, 1}, + {&__pyx_kp_s_unable_to_allocate_array_data, __pyx_k_unable_to_allocate_array_data, sizeof(__pyx_k_unable_to_allocate_array_data), 0, 0, 1, 0}, + {&__pyx_kp_s_unable_to_allocate_shape_and_str, __pyx_k_unable_to_allocate_shape_and_str, sizeof(__pyx_k_unable_to_allocate_shape_and_str), 0, 0, 1, 0}, + {&__pyx_n_s_uniform, __pyx_k_uniform, sizeof(__pyx_k_uniform), 0, 0, 1, 1}, + {&__pyx_kp_u_unique_earlier_later_pairs, __pyx_k_unique_earlier_later_pairs, sizeof(__pyx_k_unique_earlier_later_pairs), 0, 1, 0, 0}, + {&__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_k_unknown_dtype_code_in_numpy_pxd, sizeof(__pyx_k_unknown_dtype_code_in_numpy_pxd), 0, 1, 0, 0}, + {&__pyx_n_s_unpack, __pyx_k_unpack, sizeof(__pyx_k_unpack), 0, 0, 1, 1}, + {&__pyx_n_s_update, __pyx_k_update, sizeof(__pyx_k_update), 0, 0, 1, 1}, + {&__pyx_n_s_use_item_aspect_popularity, __pyx_k_use_item_aspect_popularity, sizeof(__pyx_k_use_item_aspect_popularity), 0, 0, 1, 1}, + {&__pyx_n_s_user_aspect_opinion, __pyx_k_user_aspect_opinion, sizeof(__pyx_k_user_aspect_opinion), 0, 0, 1, 1}, + {&__pyx_n_s_user_counts, __pyx_k_user_counts, sizeof(__pyx_k_user_counts), 0, 0, 1, 1}, + {&__pyx_n_s_user_ids, __pyx_k_user_ids, sizeof(__pyx_k_user_ids), 0, 0, 1, 1}, + {&__pyx_n_s_user_idx, __pyx_k_user_idx, sizeof(__pyx_k_user_idx), 0, 0, 1, 1}, + {&__pyx_n_s_user_indices, __pyx_k_user_indices, sizeof(__pyx_k_user_indices), 0, 0, 1, 1}, + {&__pyx_n_s_user_item_aspect, __pyx_k_user_item_aspect, sizeof(__pyx_k_user_item_aspect), 0, 0, 1, 1}, + {&__pyx_n_s_user_sentiment, __pyx_k_user_sentiment, sizeof(__pyx_k_user_sentiment), 0, 0, 1, 1}, + {&__pyx_n_s_utils, __pyx_k_utils, sizeof(__pyx_k_utils), 0, 0, 1, 1}, + {&__pyx_n_s_utils_init_utils, __pyx_k_utils_init_utils, sizeof(__pyx_k_utils_init_utils), 0, 0, 1, 1}, + {&__pyx_n_s_val_set, __pyx_k_val_set, sizeof(__pyx_k_val_set), 0, 0, 1, 1}, + {&__pyx_n_s_values, __pyx_k_values, sizeof(__pyx_k_values), 0, 0, 1, 1}, + {&__pyx_n_s_verbose, __pyx_k_verbose, sizeof(__pyx_k_verbose), 0, 0, 1, 1}, + {&__pyx_n_s_window, __pyx_k_window, sizeof(__pyx_k_window), 0, 0, 1, 1}, + {&__pyx_n_s_z, __pyx_k_z, sizeof(__pyx_k_z), 0, 0, 1, 1}, + {&__pyx_n_s_zeros_like, __pyx_k_zeros_like, sizeof(__pyx_k_zeros_like), 0, 0, 1, 1}, + {&__pyx_n_s_zip, __pyx_k_zip, sizeof(__pyx_k_zip), 0, 0, 1, 1}, + {0, 0, 0, 0, 0, 0, 0} +}; +static CYTHON_SMALL_CODE int __Pyx_InitCachedBuiltins(void) { + __pyx_builtin_super = __Pyx_GetBuiltinName(__pyx_n_s_super); if (!__pyx_builtin_super) __PYX_ERR(0, 158, __pyx_L1_error) + __pyx_builtin_print = __Pyx_GetBuiltinName(__pyx_n_s_print); if (!__pyx_builtin_print) __PYX_ERR(0, 199, __pyx_L1_error) + __pyx_builtin_zip = __Pyx_GetBuiltinName(__pyx_n_s_zip); if (!__pyx_builtin_zip) __PYX_ERR(0, 213, __pyx_L1_error) + __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_range) __PYX_ERR(0, 298, __pyx_L1_error) + __pyx_builtin_sum = __Pyx_GetBuiltinName(__pyx_n_s_sum); if (!__pyx_builtin_sum) __PYX_ERR(0, 332, __pyx_L1_error) + __pyx_builtin_TypeError = __Pyx_GetBuiltinName(__pyx_n_s_TypeError); if (!__pyx_builtin_TypeError) __PYX_ERR(0, 475, __pyx_L1_error) + __pyx_builtin_ValueError = __Pyx_GetBuiltinName(__pyx_n_s_ValueError); if (!__pyx_builtin_ValueError) __PYX_ERR(1, 272, __pyx_L1_error) + __pyx_builtin_RuntimeError = __Pyx_GetBuiltinName(__pyx_n_s_RuntimeError); if (!__pyx_builtin_RuntimeError) __PYX_ERR(1, 855, __pyx_L1_error) + __pyx_builtin_ImportError = __Pyx_GetBuiltinName(__pyx_n_s_ImportError); if (!__pyx_builtin_ImportError) __PYX_ERR(1, 1037, __pyx_L1_error) + __pyx_builtin_MemoryError = __Pyx_GetBuiltinName(__pyx_n_s_MemoryError); if (!__pyx_builtin_MemoryError) __PYX_ERR(2, 148, __pyx_L1_error) + __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s_enumerate); if (!__pyx_builtin_enumerate) __PYX_ERR(2, 151, __pyx_L1_error) + __pyx_builtin_Ellipsis = __Pyx_GetBuiltinName(__pyx_n_s_Ellipsis); if (!__pyx_builtin_Ellipsis) __PYX_ERR(2, 404, __pyx_L1_error) + __pyx_builtin_id = __Pyx_GetBuiltinName(__pyx_n_s_id); if (!__pyx_builtin_id) __PYX_ERR(2, 613, __pyx_L1_error) + __pyx_builtin_IndexError = __Pyx_GetBuiltinName(__pyx_n_s_IndexError); if (!__pyx_builtin_IndexError) __PYX_ERR(2, 832, __pyx_L1_error) + return 0; + __pyx_L1_error:; + return -1; +} + +static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":209 + * start_time = time.time() + * if self.verbose: + * print("Building data started!") # <<<<<<<<<<<<<< + * + * sentiment = self.train_set.sentiment + */ + __pyx_tuple_ = PyTuple_Pack(1, __pyx_kp_u_Building_data_started); if (unlikely(!__pyx_tuple_)) __PYX_ERR(0, 209, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple_); + __Pyx_GIVEREF(__pyx_tuple_); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":443 + * del_o_reg = np.zeros_like(self.O).astype(np.float32) + * + * with trange(self.max_iter, disable=not self.verbose) as progress: # <<<<<<<<<<<<<< + * for epoch in progress: + * correct, skipped, loss, bpr_loss = self._fit_mter( + */ + __pyx_tuple__4 = PyTuple_Pack(3, Py_None, Py_None, Py_None); if (unlikely(!__pyx_tuple__4)) __PYX_ERR(0, 443, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__4); + __Pyx_GIVEREF(__pyx_tuple__4); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":468 + * + * if self.verbose: + * print('Optimization finished!') # <<<<<<<<<<<<<< + * + * return self + */ + __pyx_tuple__5 = PyTuple_Pack(1, __pyx_kp_u_Optimization_finished); if (unlikely(!__pyx_tuple__5)) __PYX_ERR(0, 468, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__5); + __Pyx_GIVEREF(__pyx_tuple__5); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":475 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_mter( # <<<<<<<<<<<<<< + * self, + * RNGVector rng_pos_uia, + */ + __pyx_tuple__8 = PyTuple_Pack(1, __pyx_kp_s_No_matching_signature_found); if (unlikely(!__pyx_tuple__8)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__8); + __Pyx_GIVEREF(__pyx_tuple__8); + __pyx_tuple__9 = PyTuple_Pack(1, __pyx_kp_s_Function_call_with_ambiguous_arg); if (unlikely(!__pyx_tuple__9)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__9); + __Pyx_GIVEREF(__pyx_tuple__9); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":272 + * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): + * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< + * + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) + */ + __pyx_tuple__10 = PyTuple_Pack(1, __pyx_kp_u_ndarray_is_not_C_contiguous); if (unlikely(!__pyx_tuple__10)) __PYX_ERR(1, 272, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__10); + __Pyx_GIVEREF(__pyx_tuple__10); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":276 + * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) + * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): + * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< + * + * info.buf = PyArray_DATA(self) + */ + __pyx_tuple__11 = PyTuple_Pack(1, __pyx_kp_u_ndarray_is_not_Fortran_contiguou); if (unlikely(!__pyx_tuple__11)) __PYX_ERR(1, 276, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__11); + __Pyx_GIVEREF(__pyx_tuple__11); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":306 + * if ((descr.byteorder == c'>' and little_endian) or + * (descr.byteorder == c'<' and not little_endian)): + * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< + * if t == NPY_BYTE: f = "b" + * elif t == NPY_UBYTE: f = "B" + */ + __pyx_tuple__12 = PyTuple_Pack(1, __pyx_kp_u_Non_native_byte_order_not_suppor); if (unlikely(!__pyx_tuple__12)) __PYX_ERR(1, 306, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__12); + __Pyx_GIVEREF(__pyx_tuple__12); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":855 + * + * if (end - f) - (new_offset - offset[0]) < 15: + * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< + * + * if ((child.byteorder == c'>' and little_endian) or + */ + __pyx_tuple__13 = PyTuple_Pack(1, __pyx_kp_u_Format_string_allocated_too_shor); if (unlikely(!__pyx_tuple__13)) __PYX_ERR(1, 855, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__13); + __Pyx_GIVEREF(__pyx_tuple__13); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":879 + * t = child.type_num + * if end - f < 5: + * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< + * + * # Until ticket #99 is fixed, use integers to avoid warnings + */ + __pyx_tuple__14 = PyTuple_Pack(1, __pyx_kp_u_Format_string_allocated_too_shor_2); if (unlikely(!__pyx_tuple__14)) __PYX_ERR(1, 879, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__14); + __Pyx_GIVEREF(__pyx_tuple__14); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + * _import_array() + * except Exception: + * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< + * + * cdef inline int import_umath() except -1: + */ + __pyx_tuple__15 = PyTuple_Pack(1, __pyx_kp_u_numpy_core_multiarray_failed_to); if (unlikely(!__pyx_tuple__15)) __PYX_ERR(1, 1037, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__15); + __Pyx_GIVEREF(__pyx_tuple__15); + + /* "../anaconda3/envs/pre/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":1043 + * _import_umath() + * except Exception: + * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< + * + * cdef inline int import_ufunc() except -1: + */ + __pyx_tuple__16 = PyTuple_Pack(1, __pyx_kp_u_numpy_core_umath_failed_to_impor); if (unlikely(!__pyx_tuple__16)) __PYX_ERR(1, 1043, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__16); + __Pyx_GIVEREF(__pyx_tuple__16); + + /* "View.MemoryView":133 + * + * if not self.ndim: + * raise ValueError("Empty shape tuple for cython.array") # <<<<<<<<<<<<<< + * + * if itemsize <= 0: + */ + __pyx_tuple__17 = PyTuple_Pack(1, __pyx_kp_s_Empty_shape_tuple_for_cython_arr); if (unlikely(!__pyx_tuple__17)) __PYX_ERR(2, 133, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__17); + __Pyx_GIVEREF(__pyx_tuple__17); + + /* "View.MemoryView":136 + * + * if itemsize <= 0: + * raise ValueError("itemsize <= 0 for cython.array") # <<<<<<<<<<<<<< + * + * if not isinstance(format, bytes): + */ + __pyx_tuple__18 = PyTuple_Pack(1, __pyx_kp_s_itemsize_0_for_cython_array); if (unlikely(!__pyx_tuple__18)) __PYX_ERR(2, 136, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__18); + __Pyx_GIVEREF(__pyx_tuple__18); + + /* "View.MemoryView":148 + * + * if not self._shape: + * raise MemoryError("unable to allocate shape and strides.") # <<<<<<<<<<<<<< + * + * + */ + __pyx_tuple__19 = PyTuple_Pack(1, __pyx_kp_s_unable_to_allocate_shape_and_str); if (unlikely(!__pyx_tuple__19)) __PYX_ERR(2, 148, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__19); + __Pyx_GIVEREF(__pyx_tuple__19); + + /* "View.MemoryView":176 + * self.data = malloc(self.len) + * if not self.data: + * raise MemoryError("unable to allocate array data.") # <<<<<<<<<<<<<< + * + * if self.dtype_is_object: + */ + __pyx_tuple__20 = PyTuple_Pack(1, __pyx_kp_s_unable_to_allocate_array_data); if (unlikely(!__pyx_tuple__20)) __PYX_ERR(2, 176, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__20); + __Pyx_GIVEREF(__pyx_tuple__20); + + /* "View.MemoryView":192 + * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS + * if not (flags & bufmode): + * raise ValueError("Can only create a buffer that is contiguous in memory.") # <<<<<<<<<<<<<< + * info.buf = self.data + * info.len = self.len + */ + __pyx_tuple__21 = PyTuple_Pack(1, __pyx_kp_s_Can_only_create_a_buffer_that_is); if (unlikely(!__pyx_tuple__21)) __PYX_ERR(2, 192, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__21); + __Pyx_GIVEREF(__pyx_tuple__21); + + /* "(tree fragment)":2 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + __pyx_tuple__22 = PyTuple_Pack(1, __pyx_kp_s_no_default___reduce___due_to_non); if (unlikely(!__pyx_tuple__22)) __PYX_ERR(2, 2, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__22); + __Pyx_GIVEREF(__pyx_tuple__22); + + /* "(tree fragment)":4 + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + */ + __pyx_tuple__23 = PyTuple_Pack(1, __pyx_kp_s_no_default___reduce___due_to_non); if (unlikely(!__pyx_tuple__23)) __PYX_ERR(2, 4, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__23); + __Pyx_GIVEREF(__pyx_tuple__23); + + /* "View.MemoryView":418 + * def __setitem__(memoryview self, object index, object value): + * if self.view.readonly: + * raise TypeError("Cannot assign to read-only memoryview") # <<<<<<<<<<<<<< + * + * have_slices, index = _unellipsify(index, self.view.ndim) + */ + __pyx_tuple__24 = PyTuple_Pack(1, __pyx_kp_s_Cannot_assign_to_read_only_memor); if (unlikely(!__pyx_tuple__24)) __PYX_ERR(2, 418, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__24); + __Pyx_GIVEREF(__pyx_tuple__24); + + /* "View.MemoryView":495 + * result = struct.unpack(self.view.format, bytesitem) + * except struct.error: + * raise ValueError("Unable to convert item to object") # <<<<<<<<<<<<<< + * else: + * if len(self.view.format) == 1: + */ + __pyx_tuple__25 = PyTuple_Pack(1, __pyx_kp_s_Unable_to_convert_item_to_object); if (unlikely(!__pyx_tuple__25)) __PYX_ERR(2, 495, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__25); + __Pyx_GIVEREF(__pyx_tuple__25); + + /* "View.MemoryView":520 + * def __getbuffer__(self, Py_buffer *info, int flags): + * if flags & PyBUF_WRITABLE and self.view.readonly: + * raise ValueError("Cannot create writable memory view from read-only memoryview") # <<<<<<<<<<<<<< + * + * if flags & PyBUF_ND: + */ + __pyx_tuple__26 = PyTuple_Pack(1, __pyx_kp_s_Cannot_create_writable_memory_vi); if (unlikely(!__pyx_tuple__26)) __PYX_ERR(2, 520, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__26); + __Pyx_GIVEREF(__pyx_tuple__26); + + /* "View.MemoryView":570 + * if self.view.strides == NULL: + * + * raise ValueError("Buffer view does not expose strides") # <<<<<<<<<<<<<< + * + * return tuple([stride for stride in self.view.strides[:self.view.ndim]]) + */ + __pyx_tuple__27 = PyTuple_Pack(1, __pyx_kp_s_Buffer_view_does_not_expose_stri); if (unlikely(!__pyx_tuple__27)) __PYX_ERR(2, 570, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__27); + __Pyx_GIVEREF(__pyx_tuple__27); + + /* "View.MemoryView":577 + * def suboffsets(self): + * if self.view.suboffsets == NULL: + * return (-1,) * self.view.ndim # <<<<<<<<<<<<<< + * + * return tuple([suboffset for suboffset in self.view.suboffsets[:self.view.ndim]]) + */ + __pyx_tuple__28 = PyTuple_New(1); if (unlikely(!__pyx_tuple__28)) __PYX_ERR(2, 577, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__28); + __Pyx_INCREF(__pyx_int_neg_1); + __Pyx_GIVEREF(__pyx_int_neg_1); + PyTuple_SET_ITEM(__pyx_tuple__28, 0, __pyx_int_neg_1); + __Pyx_GIVEREF(__pyx_tuple__28); + + /* "(tree fragment)":2 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + __pyx_tuple__29 = PyTuple_Pack(1, __pyx_kp_s_no_default___reduce___due_to_non); if (unlikely(!__pyx_tuple__29)) __PYX_ERR(2, 2, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__29); + __Pyx_GIVEREF(__pyx_tuple__29); + + /* "(tree fragment)":4 + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + */ + __pyx_tuple__30 = PyTuple_Pack(1, __pyx_kp_s_no_default___reduce___due_to_non); if (unlikely(!__pyx_tuple__30)) __PYX_ERR(2, 4, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__30); + __Pyx_GIVEREF(__pyx_tuple__30); + + /* "View.MemoryView":682 + * if item is Ellipsis: + * if not seen_ellipsis: + * result.extend([slice(None)] * (ndim - len(tup) + 1)) # <<<<<<<<<<<<<< + * seen_ellipsis = True + * else: + */ + __pyx_slice__31 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__31)) __PYX_ERR(2, 682, __pyx_L1_error) + __Pyx_GOTREF(__pyx_slice__31); + __Pyx_GIVEREF(__pyx_slice__31); + + /* "View.MemoryView":703 + * for suboffset in suboffsets[:ndim]: + * if suboffset >= 0: + * raise ValueError("Indirect dimensions not supported") # <<<<<<<<<<<<<< + * + * + */ + __pyx_tuple__32 = PyTuple_Pack(1, __pyx_kp_s_Indirect_dimensions_not_supporte); if (unlikely(!__pyx_tuple__32)) __PYX_ERR(2, 703, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__32); + __Pyx_GIVEREF(__pyx_tuple__32); + + /* "(tree fragment)":2 + * def __reduce_cython__(self): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + */ + __pyx_tuple__33 = PyTuple_Pack(1, __pyx_kp_s_no_default___reduce___due_to_non); if (unlikely(!__pyx_tuple__33)) __PYX_ERR(2, 2, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__33); + __Pyx_GIVEREF(__pyx_tuple__33); + + /* "(tree fragment)":4 + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") + * def __setstate_cython__(self, __pyx_state): + * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< + */ + __pyx_tuple__34 = PyTuple_Pack(1, __pyx_kp_s_no_default___reduce___due_to_non); if (unlikely(!__pyx_tuple__34)) __PYX_ERR(2, 4, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__34); + __Pyx_GIVEREF(__pyx_tuple__34); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":131 + * ACM International Conference on Web Search and Data Mining (WSDM). 2021. + * """ + * def __init__( # <<<<<<<<<<<<<< + * self, + * name="ComparERSub", + */ + __pyx_tuple__36 = PyTuple_Pack(25, __pyx_n_s_self, __pyx_n_s_name, __pyx_n_s_rating_scale, __pyx_n_s_n_user_factors, __pyx_n_s_n_item_factors, __pyx_n_s_n_aspect_factors, __pyx_n_s_n_opinion_factors, __pyx_n_s_n_pair_samples, __pyx_n_s_n_bpr_samples, __pyx_n_s_n_element_samples, __pyx_n_s_min_user_freq, __pyx_n_s_min_pair_freq, __pyx_n_s_min_common_freq, __pyx_n_s_use_item_aspect_popularity, __pyx_n_s_enum_window, __pyx_n_s_lambda_reg, __pyx_n_s_lambda_bpr, __pyx_n_s_lambda_d, __pyx_n_s_max_iter, __pyx_n_s_lr, __pyx_n_s_n_threads, __pyx_n_s_trainable, __pyx_n_s_verbose, __pyx_n_s_init_params, __pyx_n_s_seed); if (unlikely(!__pyx_tuple__36)) __PYX_ERR(0, 131, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__36); + __Pyx_GIVEREF(__pyx_tuple__36); + __pyx_codeobj__37 = (PyObject*)__Pyx_PyCode_New(25, 0, 25, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__36, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_init, 131, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__37)) __PYX_ERR(0, 131, __pyx_L1_error) + __pyx_tuple__38 = PyTuple_Pack(24, ((PyObject*)__pyx_n_u_ComparERSub), ((PyObject*)__pyx_float_5_0), ((PyObject *)__pyx_int_8), ((PyObject *)__pyx_int_8), ((PyObject *)__pyx_int_8), ((PyObject *)__pyx_int_8), ((PyObject *)__pyx_int_1000), ((PyObject *)__pyx_int_1000), ((PyObject *)__pyx_int_50), ((PyObject *)__pyx_int_2), ((PyObject *)__pyx_int_1), ((PyObject *)__pyx_int_1), ((PyObject *)Py_True), ((PyObject *)Py_None), ((PyObject*)__pyx_float_0_1), ((PyObject *)__pyx_int_10), ((PyObject*)__pyx_float_0_01), ((PyObject *)__pyx_int_200000), ((PyObject*)__pyx_float_0_5), ((PyObject *)__pyx_int_0), ((PyObject *)Py_True), ((PyObject *)Py_False), ((PyObject *)Py_None), ((PyObject *)Py_None)); if (unlikely(!__pyx_tuple__38)) __PYX_ERR(0, 131, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__38); + __Pyx_GIVEREF(__pyx_tuple__38); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":168 + * + * + * def _build_item_quality_matrix(self, data_set, sentiment): # <<<<<<<<<<<<<< + * start_time = time() + * quality_scores = [] + */ + __pyx_tuple__40 = PyTuple_Pack(21, __pyx_n_s_self, __pyx_n_s_data_set, __pyx_n_s_sentiment, __pyx_n_s_start_time, __pyx_n_s_quality_scores, __pyx_n_s_map_iid, __pyx_n_s_map_aspect_id, __pyx_n_s_iid, __pyx_n_s_sentiment_tup_ids_by_user, __pyx_n_s_item_aspects, __pyx_n_s_item_aspect_count, __pyx_n_s_total_sentiment_by_aspect, __pyx_n_s_tup_id, __pyx_n_s_aid, __pyx_n_s__39, __pyx_n_s_sentiment_polarity, __pyx_n_s_total_sentiment, __pyx_n_s_avg_sentiment, __pyx_n_s_Y, __pyx_n_s_tup_id, __pyx_n_s_tup); if (unlikely(!__pyx_tuple__40)) __PYX_ERR(0, 168, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__40); + __Pyx_GIVEREF(__pyx_tuple__40); + __pyx_codeobj__41 = (PyObject*)__Pyx_PyCode_New(3, 0, 21, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__40, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_build_item_quality_matrix, 168, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__41)) __PYX_ERR(0, 168, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":203 + * return Y + * + * def _build_data(self, data_set): # <<<<<<<<<<<<<< + * import time + * from tqdm import tqdm + */ + __pyx_tuple__42 = PyTuple_Pack(32, __pyx_n_s_self, __pyx_n_s_data_set, __pyx_n_s_time, __pyx_n_s_tqdm, __pyx_n_s_start_time, __pyx_n_s_sentiment, __pyx_n_s_u_indices, __pyx_n_s_i_indices, __pyx_n_s_r_values, __pyx_n_s_keys, __pyx_n_s_rating_dict, __pyx_n_s_rating_matrix, __pyx_n_s_user_item_aspect, __pyx_n_s_user_aspect_opinion, __pyx_n_s_item_aspect_opinion, __pyx_n_s_u_idx, __pyx_n_s_sentiment_tup_ids_by_item, __pyx_n_s_i_idx, __pyx_n_s_tup_idx, __pyx_n_s_a_idx, __pyx_n_s_o_idx, __pyx_n_s_polarity, __pyx_n_s_key, __pyx_n_s_Y, __pyx_n_s_user_indices, __pyx_n_s_earlier_indices, __pyx_n_s_later_indices, __pyx_n_s_aspect_indices, __pyx_n_s_pair_freq, __pyx_n_s_total_time, __pyx_n_s_u, __pyx_n_s_i); if (unlikely(!__pyx_tuple__42)) __PYX_ERR(0, 203, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__42); + __Pyx_GIVEREF(__pyx_tuple__42); + __pyx_codeobj__43 = (PyObject*)__Pyx_PyCode_New(2, 0, 32, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__42, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_build_data, 203, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__43)) __PYX_ERR(0, 203, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":280 + * ) + * + * def _build_chrono_purchased_pairs(self, data_set, user_item_aspect, Y): # <<<<<<<<<<<<<< + * start_time = time() + * from tqdm import tqdm + */ + __pyx_tuple__44 = PyTuple_Pack(27, __pyx_n_s_self, __pyx_n_s_data_set, __pyx_n_s_user_item_aspect, __pyx_n_s_Y, __pyx_n_s_start_time, __pyx_n_s_tqdm, __pyx_n_s_chrono_purchased_pairs, __pyx_n_s_user_idx, __pyx_n_s_item_ids, __pyx_n_s__39, __pyx_n_s_window, __pyx_n_s_sub_item_ids, __pyx_n_s_earlier_item_idx, __pyx_n_s_later_item_idx, __pyx_n_s_pair_counts, __pyx_n_s_common_aspect_counts, __pyx_n_s_counted_pairs, __pyx_n_s_not_dominated_pairs_2, __pyx_n_s_count, __pyx_n_s_k, __pyx_n_s_user_indices, __pyx_n_s_earlier_indices, __pyx_n_s_later_indices, __pyx_n_s_aspect_indices, __pyx_n_s_pair_freq, __pyx_n_s_aspect_idx, __pyx_n_s_i); if (unlikely(!__pyx_tuple__44)) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__44); + __Pyx_GIVEREF(__pyx_tuple__44); + __pyx_codeobj__45 = (PyObject*)__Pyx_PyCode_New(4, 0, 27, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__44, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_build_chrono_purchased_pairs, 280, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__45)) __PYX_ERR(0, 280, __pyx_L1_error) + + /* "cornac/models/comparer/recom_comparer_sub.pyx":342 + * + * + * def fit(self, train_set, val_set=None): # <<<<<<<<<<<<<< + * """Fit the model to observations. + * + */ + __pyx_tuple__46 = PyTuple_Pack(67, __pyx_n_s_self, __pyx_n_s_train_set, __pyx_n_s_val_set, __pyx_n_s_rating_matrix, __pyx_n_s_rating_dict, __pyx_n_s_user_item_aspect, __pyx_n_s_user_aspect_opinion, __pyx_n_s_item_aspect_opinion, __pyx_n_s_p_user_indices, __pyx_n_s_earlier_indices, __pyx_n_s_later_indices, __pyx_n_s_aspect_indices, __pyx_n_s_pair_freq, __pyx_n_s_X, __pyx_n_s_X_uids, __pyx_n_s_X_iids, __pyx_n_s_X_aids, __pyx_n_s_YU, __pyx_n_s_YU_uids, __pyx_n_s_YU_aids, __pyx_n_s_YU_oids, __pyx_n_s_YI, __pyx_n_s_YI_iids, __pyx_n_s_YI_aids, __pyx_n_s_YI_oids, __pyx_n_s_uid, __pyx_n_s_iid, __pyx_n_s_aid, __pyx_n_s_score, __pyx_n_s_oid, __pyx_n_s_user_counts, __pyx_n_s_user_ids, __pyx_n_s_neg_item_ids, __pyx_n_s_n_threads, __pyx_n_s_rng_pos_uia, __pyx_n_s_rng_pos_uao, __pyx_n_s_rng_pos_iao, __pyx_n_s_rng_pos_pair, __pyx_n_s_rng_pos, __pyx_n_s_rng_neg, __pyx_n_s_sgrad_G1, __pyx_n_s_sgrad_G2, __pyx_n_s_sgrad_G3, __pyx_n_s_sgrad_U, __pyx_n_s_sgrad_I, __pyx_n_s_sgrad_A, __pyx_n_s_sgrad_O, __pyx_n_s_del_g1, __pyx_n_s_del_g2, __pyx_n_s_del_g3, __pyx_n_s_del_u, __pyx_n_s_del_i, __pyx_n_s_del_a, __pyx_n_s_del_o, __pyx_n_s_del_g1_reg, __pyx_n_s_del_g2_reg, __pyx_n_s_del_g3_reg, __pyx_n_s_del_u_reg, __pyx_n_s_del_i_reg, __pyx_n_s_del_a_reg, __pyx_n_s_del_o_reg, __pyx_n_s_progress, __pyx_n_s_epoch, __pyx_n_s_correct, __pyx_n_s_skipped, __pyx_n_s_loss, __pyx_n_s_bpr_loss); if (unlikely(!__pyx_tuple__46)) __PYX_ERR(0, 342, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__46); + __Pyx_GIVEREF(__pyx_tuple__46); + __pyx_codeobj__47 = (PyObject*)__Pyx_PyCode_New(3, 0, 67, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__46, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_fit, 342, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__47)) __PYX_ERR(0, 342, __pyx_L1_error) + __pyx_tuple__48 = PyTuple_Pack(1, ((PyObject *)Py_None)); if (unlikely(!__pyx_tuple__48)) __PYX_ERR(0, 342, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__48); + __Pyx_GIVEREF(__pyx_tuple__48); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":475 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_mter( # <<<<<<<<<<<<<< + * self, + * RNGVector rng_pos_uia, + */ + __pyx_tuple__49 = PyTuple_Pack(106, __pyx_n_s_self, __pyx_n_s_rng_pos_uia, __pyx_n_s_rng_pos_uao, __pyx_n_s_rng_pos_iao, __pyx_n_s_rng_pos_pair, __pyx_n_s_rng_pos, __pyx_n_s_rng_neg, __pyx_n_s_n_threads, __pyx_n_s_X, __pyx_n_s_X_uids, __pyx_n_s_X_iids, __pyx_n_s_X_aids, __pyx_n_s_YU, __pyx_n_s_YU_uids, __pyx_n_s_YU_aids, __pyx_n_s_YU_oids, __pyx_n_s_YI, __pyx_n_s_YI_iids, __pyx_n_s_YI_aids, __pyx_n_s_YI_oids, __pyx_n_s_rating_dict, __pyx_n_s_user_ids, __pyx_n_s_item_ids, __pyx_n_s_neg_item_ids, __pyx_n_s_indptr, __pyx_n_s_p_user_indices, __pyx_n_s_earlier_indices, __pyx_n_s_later_indices, __pyx_n_s_aspect_indices, __pyx_n_s_pair_counts, __pyx_n_s_G1, __pyx_n_s_G2, __pyx_n_s_G3, __pyx_n_s_U, __pyx_n_s_I, __pyx_n_s_A, __pyx_n_s_O, __pyx_n_s_sgrad_G1, __pyx_n_s_sgrad_G2, __pyx_n_s_sgrad_G3, __pyx_n_s_sgrad_U, __pyx_n_s_sgrad_I, __pyx_n_s_sgrad_A, __pyx_n_s_sgrad_O, __pyx_n_s_del_g1, __pyx_n_s_del_g2, __pyx_n_s_del_g3, __pyx_n_s_del_u, __pyx_n_s_del_i, __pyx_n_s_del_a, __pyx_n_s_del_o, __pyx_n_s_del_g1_reg, __pyx_n_s_del_g2_reg, __pyx_n_s_del_g3_reg, __pyx_n_s_del_u_reg, __pyx_n_s_del_i_reg, __pyx_n_s_del_a_reg, __pyx_n_s_del_o_reg, __pyx_n_s_s, __pyx_n_s_i_index, __pyx_n_s_j_index, __pyx_n_s_correct, __pyx_n_s_skipped, __pyx_n_s_aspect_correct, __pyx_n_s_n_users, __pyx_n_s_n_items, __pyx_n_s_n_aspects, __pyx_n_s_n_opinions, __pyx_n_s_n_user_factors, __pyx_n_s_n_item_factors, __pyx_n_s_n_aspect_factors, __pyx_n_s_n_opinion_factors, __pyx_n_s_num_samples, __pyx_n_s_num_bpr_samples, __pyx_n_s_num_pair_samples, __pyx_n_s__39, __pyx_n_s_i, __pyx_n_s_j, __pyx_n_s_k, __pyx_n_s_idx, __pyx_n_s_jdx, __pyx_n_s_u_idx, __pyx_n_s_i_idx, __pyx_n_s_a_idx, __pyx_n_s_o_idx, __pyx_n_s_j_idx, __pyx_n_s_thread_id, __pyx_n_s_z, __pyx_n_s_score, __pyx_n_s_i_score, __pyx_n_s_j_score, __pyx_n_s_pred, __pyx_n_s_temp, __pyx_n_s_i_ij, __pyx_n_s_a_ji, __pyx_n_s_loss, __pyx_n_s_bpr_loss, __pyx_n_s_aspect_bpr_loss, __pyx_n_s_del_sqerror, __pyx_n_s_del_bpr, __pyx_n_s_del_aspect_bpr, __pyx_n_s_eps, __pyx_n_s_lr, __pyx_n_s_ld_reg, __pyx_n_s_ld_bpr, __pyx_n_s_lambda_d); if (unlikely(!__pyx_tuple__49)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__49); + __Pyx_GIVEREF(__pyx_tuple__49); + __pyx_codeobj__50 = (PyObject*)__Pyx_PyCode_New(58, 0, 106, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__49, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_cornac_models_comparer_recom_com_2, __pyx_n_s_fit_mter, 475, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__50)) __PYX_ERR(0, 475, __pyx_L1_error) + + /* "View.MemoryView":286 + * return self.name + * + * cdef generic = Enum("") # <<<<<<<<<<<<<< + * cdef strided = Enum("") # default + * cdef indirect = Enum("") + */ + __pyx_tuple__51 = PyTuple_Pack(1, __pyx_kp_s_strided_and_direct_or_indirect); if (unlikely(!__pyx_tuple__51)) __PYX_ERR(2, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__51); + __Pyx_GIVEREF(__pyx_tuple__51); + + /* "View.MemoryView":287 + * + * cdef generic = Enum("") + * cdef strided = Enum("") # default # <<<<<<<<<<<<<< + * cdef indirect = Enum("") + * + */ + __pyx_tuple__52 = PyTuple_Pack(1, __pyx_kp_s_strided_and_direct); if (unlikely(!__pyx_tuple__52)) __PYX_ERR(2, 287, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__52); + __Pyx_GIVEREF(__pyx_tuple__52); + + /* "View.MemoryView":288 + * cdef generic = Enum("") + * cdef strided = Enum("") # default + * cdef indirect = Enum("") # <<<<<<<<<<<<<< + * + * + */ + __pyx_tuple__53 = PyTuple_Pack(1, __pyx_kp_s_strided_and_indirect); if (unlikely(!__pyx_tuple__53)) __PYX_ERR(2, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__53); + __Pyx_GIVEREF(__pyx_tuple__53); + + /* "View.MemoryView":291 + * + * + * cdef contiguous = Enum("") # <<<<<<<<<<<<<< + * cdef indirect_contiguous = Enum("") + * + */ + __pyx_tuple__54 = PyTuple_Pack(1, __pyx_kp_s_contiguous_and_direct); if (unlikely(!__pyx_tuple__54)) __PYX_ERR(2, 291, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__54); + __Pyx_GIVEREF(__pyx_tuple__54); + + /* "View.MemoryView":292 + * + * cdef contiguous = Enum("") + * cdef indirect_contiguous = Enum("") # <<<<<<<<<<<<<< + * + * + */ + __pyx_tuple__55 = PyTuple_Pack(1, __pyx_kp_s_contiguous_and_indirect); if (unlikely(!__pyx_tuple__55)) __PYX_ERR(2, 292, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__55); + __Pyx_GIVEREF(__pyx_tuple__55); + + /* "(tree fragment)":1 + * def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<< + * cdef object __pyx_PickleError + * cdef object __pyx_result + */ + __pyx_tuple__56 = PyTuple_Pack(5, __pyx_n_s_pyx_type, __pyx_n_s_pyx_checksum, __pyx_n_s_pyx_state, __pyx_n_s_pyx_PickleError, __pyx_n_s_pyx_result); if (unlikely(!__pyx_tuple__56)) __PYX_ERR(2, 1, __pyx_L1_error) + __Pyx_GOTREF(__pyx_tuple__56); + __Pyx_GIVEREF(__pyx_tuple__56); + __pyx_codeobj__57 = (PyObject*)__Pyx_PyCode_New(3, 0, 5, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__56, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_stringsource, __pyx_n_s_pyx_unpickle_Enum, 1, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__57)) __PYX_ERR(2, 1, __pyx_L1_error) + __Pyx_RefNannyFinishContext(); + return 0; + __pyx_L1_error:; + __Pyx_RefNannyFinishContext(); + return -1; +} + +static CYTHON_SMALL_CODE int __Pyx_InitGlobals(void) { + /* InitThreads.init */ + #ifdef WITH_THREAD +PyEval_InitThreads(); +#endif + +if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 1, __pyx_L1_error) + + __pyx_umethod_PyDict_Type_get.type = (PyObject*)&PyDict_Type; + __pyx_umethod_PyDict_Type_keys.type = (PyObject*)&PyDict_Type; + if (__Pyx_InitStrings(__pyx_string_tab) < 0) __PYX_ERR(0, 1, __pyx_L1_error); + __pyx_float_0_1 = PyFloat_FromDouble(0.1); if (unlikely(!__pyx_float_0_1)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_float_0_5 = PyFloat_FromDouble(0.5); if (unlikely(!__pyx_float_0_5)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_float_5_0 = PyFloat_FromDouble(5.0); if (unlikely(!__pyx_float_5_0)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_float_0_01 = PyFloat_FromDouble(0.01); if (unlikely(!__pyx_float_0_01)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_float_100_0 = PyFloat_FromDouble(100.0); if (unlikely(!__pyx_float_100_0)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_0 = PyInt_FromLong(0); if (unlikely(!__pyx_int_0)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_1 = PyInt_FromLong(1); if (unlikely(!__pyx_int_1)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_2 = PyInt_FromLong(2); if (unlikely(!__pyx_int_2)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_3 = PyInt_FromLong(3); if (unlikely(!__pyx_int_3)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_8 = PyInt_FromLong(8); if (unlikely(!__pyx_int_8)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_10 = PyInt_FromLong(10); if (unlikely(!__pyx_int_10)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_50 = PyInt_FromLong(50); if (unlikely(!__pyx_int_50)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_58 = PyInt_FromLong(58); if (unlikely(!__pyx_int_58)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_1000 = PyInt_FromLong(1000); if (unlikely(!__pyx_int_1000)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_200000 = PyInt_FromLong(200000L); if (unlikely(!__pyx_int_200000)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_184977713 = PyInt_FromLong(184977713L); if (unlikely(!__pyx_int_184977713)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_2147483648 = PyInt_FromString((char *)"2147483648", 0, 0); if (unlikely(!__pyx_int_2147483648)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_int_neg_1 = PyInt_FromLong(-1); if (unlikely(!__pyx_int_neg_1)) __PYX_ERR(0, 1, __pyx_L1_error) + return 0; + __pyx_L1_error:; + return -1; +} + +static CYTHON_SMALL_CODE int __Pyx_modinit_global_init_code(void); /*proto*/ +static CYTHON_SMALL_CODE int __Pyx_modinit_variable_export_code(void); /*proto*/ +static CYTHON_SMALL_CODE int __Pyx_modinit_function_export_code(void); /*proto*/ +static CYTHON_SMALL_CODE int __Pyx_modinit_type_init_code(void); /*proto*/ +static CYTHON_SMALL_CODE int __Pyx_modinit_type_import_code(void); /*proto*/ +static CYTHON_SMALL_CODE int __Pyx_modinit_variable_import_code(void); /*proto*/ +static CYTHON_SMALL_CODE int __Pyx_modinit_function_import_code(void); /*proto*/ + +static int __Pyx_modinit_global_init_code(void) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__Pyx_modinit_global_init_code", 0); + /*--- Global init code ---*/ + generic = Py_None; Py_INCREF(Py_None); + strided = Py_None; Py_INCREF(Py_None); + indirect = Py_None; Py_INCREF(Py_None); + contiguous = Py_None; Py_INCREF(Py_None); + indirect_contiguous = Py_None; Py_INCREF(Py_None); + __Pyx_RefNannyFinishContext(); + return 0; +} + +static int __Pyx_modinit_variable_export_code(void) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__Pyx_modinit_variable_export_code", 0); + /*--- Variable export code ---*/ + __Pyx_RefNannyFinishContext(); + return 0; +} + +static int __Pyx_modinit_function_export_code(void) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__Pyx_modinit_function_export_code", 0); + /*--- Function export code ---*/ + __Pyx_RefNannyFinishContext(); + return 0; +} + +static int __Pyx_modinit_type_init_code(void) { + __Pyx_RefNannyDeclarations + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__Pyx_modinit_type_init_code", 0); + /*--- Type init code ---*/ + __pyx_vtabptr_array = &__pyx_vtable_array; + __pyx_vtable_array.get_memview = (PyObject *(*)(struct __pyx_array_obj *))__pyx_array_get_memview; + if (PyType_Ready(&__pyx_type___pyx_array) < 0) __PYX_ERR(2, 105, __pyx_L1_error) + #if PY_VERSION_HEX < 0x030800B1 + __pyx_type___pyx_array.tp_print = 0; + #endif + if (__Pyx_SetVtable(__pyx_type___pyx_array.tp_dict, __pyx_vtabptr_array) < 0) __PYX_ERR(2, 105, __pyx_L1_error) + if (__Pyx_setup_reduce((PyObject*)&__pyx_type___pyx_array) < 0) __PYX_ERR(2, 105, __pyx_L1_error) + __pyx_array_type = &__pyx_type___pyx_array; + if (PyType_Ready(&__pyx_type___pyx_MemviewEnum) < 0) __PYX_ERR(2, 279, __pyx_L1_error) + #if PY_VERSION_HEX < 0x030800B1 + __pyx_type___pyx_MemviewEnum.tp_print = 0; + #endif + if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type___pyx_MemviewEnum.tp_dictoffset && __pyx_type___pyx_MemviewEnum.tp_getattro == PyObject_GenericGetAttr)) { + __pyx_type___pyx_MemviewEnum.tp_getattro = __Pyx_PyObject_GenericGetAttr; + } + if (__Pyx_setup_reduce((PyObject*)&__pyx_type___pyx_MemviewEnum) < 0) __PYX_ERR(2, 279, __pyx_L1_error) + __pyx_MemviewEnum_type = &__pyx_type___pyx_MemviewEnum; + __pyx_vtabptr_memoryview = &__pyx_vtable_memoryview; + __pyx_vtable_memoryview.get_item_pointer = (char *(*)(struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_get_item_pointer; + __pyx_vtable_memoryview.is_slice = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_is_slice; + __pyx_vtable_memoryview.setitem_slice_assignment = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *, PyObject *))__pyx_memoryview_setitem_slice_assignment; + __pyx_vtable_memoryview.setitem_slice_assign_scalar = (PyObject *(*)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_setitem_slice_assign_scalar; + __pyx_vtable_memoryview.setitem_indexed = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *, PyObject *))__pyx_memoryview_setitem_indexed; + __pyx_vtable_memoryview.convert_item_to_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *))__pyx_memoryview_convert_item_to_object; + __pyx_vtable_memoryview.assign_item_from_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *, PyObject *))__pyx_memoryview_assign_item_from_object; + if (PyType_Ready(&__pyx_type___pyx_memoryview) < 0) __PYX_ERR(2, 330, __pyx_L1_error) + #if PY_VERSION_HEX < 0x030800B1 + __pyx_type___pyx_memoryview.tp_print = 0; + #endif + if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type___pyx_memoryview.tp_dictoffset && __pyx_type___pyx_memoryview.tp_getattro == PyObject_GenericGetAttr)) { + __pyx_type___pyx_memoryview.tp_getattro = __Pyx_PyObject_GenericGetAttr; + } + if (__Pyx_SetVtable(__pyx_type___pyx_memoryview.tp_dict, __pyx_vtabptr_memoryview) < 0) __PYX_ERR(2, 330, __pyx_L1_error) + if (__Pyx_setup_reduce((PyObject*)&__pyx_type___pyx_memoryview) < 0) __PYX_ERR(2, 330, __pyx_L1_error) + __pyx_memoryview_type = &__pyx_type___pyx_memoryview; + __pyx_vtabptr__memoryviewslice = &__pyx_vtable__memoryviewslice; + __pyx_vtable__memoryviewslice.__pyx_base = *__pyx_vtabptr_memoryview; + __pyx_vtable__memoryviewslice.__pyx_base.convert_item_to_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *))__pyx_memoryviewslice_convert_item_to_object; + __pyx_vtable__memoryviewslice.__pyx_base.assign_item_from_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *, PyObject *))__pyx_memoryviewslice_assign_item_from_object; + __pyx_type___pyx_memoryviewslice.tp_base = __pyx_memoryview_type; + if (PyType_Ready(&__pyx_type___pyx_memoryviewslice) < 0) __PYX_ERR(2, 965, __pyx_L1_error) + #if PY_VERSION_HEX < 0x030800B1 + __pyx_type___pyx_memoryviewslice.tp_print = 0; + #endif + if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type___pyx_memoryviewslice.tp_dictoffset && __pyx_type___pyx_memoryviewslice.tp_getattro == PyObject_GenericGetAttr)) { + __pyx_type___pyx_memoryviewslice.tp_getattro = __Pyx_PyObject_GenericGetAttr; + } + if (__Pyx_SetVtable(__pyx_type___pyx_memoryviewslice.tp_dict, __pyx_vtabptr__memoryviewslice) < 0) __PYX_ERR(2, 965, __pyx_L1_error) + if (__Pyx_setup_reduce((PyObject*)&__pyx_type___pyx_memoryviewslice) < 0) __PYX_ERR(2, 965, __pyx_L1_error) + __pyx_memoryviewslice_type = &__pyx_type___pyx_memoryviewslice; + __Pyx_RefNannyFinishContext(); + return 0; + __pyx_L1_error:; + __Pyx_RefNannyFinishContext(); + return -1; +} + +static int __Pyx_modinit_type_import_code(void) { + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__Pyx_modinit_type_import_code", 0); + /*--- Type import code ---*/ + __pyx_t_1 = PyImport_ImportModule(__Pyx_BUILTIN_MODULE_NAME); if (unlikely(!__pyx_t_1)) __PYX_ERR(3, 9, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_ptype_7cpython_4type_type = __Pyx_ImportType(__pyx_t_1, __Pyx_BUILTIN_MODULE_NAME, "type", + #if defined(PYPY_VERSION_NUM) && PYPY_VERSION_NUM < 0x050B0000 + sizeof(PyTypeObject), + #else + sizeof(PyHeapTypeObject), + #endif + __Pyx_ImportType_CheckSize_Warn); + if (!__pyx_ptype_7cpython_4type_type) __PYX_ERR(3, 9, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyImport_ImportModule("numpy"); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 206, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_ptype_5numpy_dtype = __Pyx_ImportType(__pyx_t_1, "numpy", "dtype", sizeof(PyArray_Descr), __Pyx_ImportType_CheckSize_Ignore); + if (!__pyx_ptype_5numpy_dtype) __PYX_ERR(1, 206, __pyx_L1_error) + __pyx_ptype_5numpy_flatiter = __Pyx_ImportType(__pyx_t_1, "numpy", "flatiter", sizeof(PyArrayIterObject), __Pyx_ImportType_CheckSize_Ignore); + if (!__pyx_ptype_5numpy_flatiter) __PYX_ERR(1, 229, __pyx_L1_error) + __pyx_ptype_5numpy_broadcast = __Pyx_ImportType(__pyx_t_1, "numpy", "broadcast", sizeof(PyArrayMultiIterObject), __Pyx_ImportType_CheckSize_Ignore); + if (!__pyx_ptype_5numpy_broadcast) __PYX_ERR(1, 233, __pyx_L1_error) + __pyx_ptype_5numpy_ndarray = __Pyx_ImportType(__pyx_t_1, "numpy", "ndarray", sizeof(PyArrayObject), __Pyx_ImportType_CheckSize_Ignore); + if (!__pyx_ptype_5numpy_ndarray) __PYX_ERR(1, 242, __pyx_L1_error) + __pyx_ptype_5numpy_ufunc = __Pyx_ImportType(__pyx_t_1, "numpy", "ufunc", sizeof(PyUFuncObject), __Pyx_ImportType_CheckSize_Ignore); + if (!__pyx_ptype_5numpy_ufunc) __PYX_ERR(1, 917, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyImport_ImportModule("cornac.utils.fast_dict"); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 27, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_ptype_6cornac_5utils_9fast_dict_IntFloatDict = __Pyx_ImportType(__pyx_t_1, "cornac.utils.fast_dict", "IntFloatDict", sizeof(struct __pyx_obj_6cornac_5utils_9fast_dict_IntFloatDict), __Pyx_ImportType_CheckSize_Warn); + if (!__pyx_ptype_6cornac_5utils_9fast_dict_IntFloatDict) __PYX_ERR(4, 27, __pyx_L1_error) + __pyx_vtabptr_6cornac_5utils_9fast_dict_IntFloatDict = (struct __pyx_vtabstruct_6cornac_5utils_9fast_dict_IntFloatDict*)__Pyx_GetVtable(__pyx_ptype_6cornac_5utils_9fast_dict_IntFloatDict->tp_dict); if (unlikely(!__pyx_vtabptr_6cornac_5utils_9fast_dict_IntFloatDict)) __PYX_ERR(4, 27, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyImport_ImportModule("cornac.models.bpr.recom_bpr"); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 35, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector = __Pyx_ImportType(__pyx_t_1, "cornac.models.bpr.recom_bpr", "RNGVector", sizeof(struct __pyx_obj_6cornac_6models_3bpr_9recom_bpr_RNGVector), __Pyx_ImportType_CheckSize_Warn); + if (!__pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector) __PYX_ERR(5, 35, __pyx_L1_error) + __pyx_vtabptr_6cornac_6models_3bpr_9recom_bpr_RNGVector = (struct __pyx_vtabstruct_6cornac_6models_3bpr_9recom_bpr_RNGVector*)__Pyx_GetVtable(__pyx_ptype_6cornac_6models_3bpr_9recom_bpr_RNGVector->tp_dict); if (unlikely(!__pyx_vtabptr_6cornac_6models_3bpr_9recom_bpr_RNGVector)) __PYX_ERR(5, 35, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_RefNannyFinishContext(); + return 0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_RefNannyFinishContext(); + return -1; +} + +static int __Pyx_modinit_variable_import_code(void) { + __Pyx_RefNannyDeclarations + __Pyx_RefNannySetupContext("__Pyx_modinit_variable_import_code", 0); + /*--- Variable import code ---*/ + __Pyx_RefNannyFinishContext(); + return 0; +} + +static int __Pyx_modinit_function_import_code(void) { + __Pyx_RefNannyDeclarations + PyObject *__pyx_t_1 = NULL; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannySetupContext("__Pyx_modinit_function_import_code", 0); + /*--- Function import code ---*/ + __pyx_t_1 = PyImport_ImportModule("cornac.models.bpr.recom_bpr"); if (!__pyx_t_1) __PYX_ERR(0, 1, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (__Pyx_ImportFunction(__pyx_t_1, "__pyx_fuse_0has_non_zero", (void (**)(void))&__pyx_fuse_0__pyx_f_6cornac_6models_3bpr_9recom_bpr_has_non_zero, "bool (__Pyx_memviewslice, __Pyx_memviewslice, short, short)") < 0) __PYX_ERR(0, 1, __pyx_L1_error) + if (__Pyx_ImportFunction(__pyx_t_1, "__pyx_fuse_1has_non_zero", (void (**)(void))&__pyx_fuse_1__pyx_f_6cornac_6models_3bpr_9recom_bpr_has_non_zero, "bool (__Pyx_memviewslice, __Pyx_memviewslice, int, int)") < 0) __PYX_ERR(0, 1, __pyx_L1_error) + if (__Pyx_ImportFunction(__pyx_t_1, "__pyx_fuse_2has_non_zero", (void (**)(void))&__pyx_fuse_2__pyx_f_6cornac_6models_3bpr_9recom_bpr_has_non_zero, "bool (__Pyx_memviewslice, __Pyx_memviewslice, long, long)") < 0) __PYX_ERR(0, 1, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyImport_ImportModule("cornac.models.mter.recom_mter"); if (!__pyx_t_1) __PYX_ERR(0, 1, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (__Pyx_ImportFunction(__pyx_t_1, "get_key", (void (**)(void))&__pyx_f_6cornac_6models_4mter_10recom_mter_get_key, "int (int, int)") < 0) __PYX_ERR(0, 1, __pyx_L1_error) + if (__Pyx_ImportFunction(__pyx_t_1, "__pyx_fuse_0get_score", (void (**)(void))&__pyx_fuse_0__pyx_f_6cornac_6models_4mter_10recom_mter_get_score, "float (__Pyx_memviewslice, int, int, int, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, int, int, int)") < 0) __PYX_ERR(0, 1, __pyx_L1_error) + if (__Pyx_ImportFunction(__pyx_t_1, "__pyx_fuse_1get_score", (void (**)(void))&__pyx_fuse_1__pyx_f_6cornac_6models_4mter_10recom_mter_get_score, "double (__Pyx_memviewslice, int, int, int, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, int, int, int)") < 0) __PYX_ERR(0, 1, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_RefNannyFinishContext(); + return 0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_RefNannyFinishContext(); + return -1; +} + + +#ifndef CYTHON_NO_PYINIT_EXPORT +#define __Pyx_PyMODINIT_FUNC PyMODINIT_FUNC +#elif PY_MAJOR_VERSION < 3 +#ifdef __cplusplus +#define __Pyx_PyMODINIT_FUNC extern "C" void +#else +#define __Pyx_PyMODINIT_FUNC void +#endif +#else +#ifdef __cplusplus +#define __Pyx_PyMODINIT_FUNC extern "C" PyObject * +#else +#define __Pyx_PyMODINIT_FUNC PyObject * +#endif +#endif + + +#if PY_MAJOR_VERSION < 3 +__Pyx_PyMODINIT_FUNC initrecom_comparer_sub(void) CYTHON_SMALL_CODE; /*proto*/ +__Pyx_PyMODINIT_FUNC initrecom_comparer_sub(void) +#else +__Pyx_PyMODINIT_FUNC PyInit_recom_comparer_sub(void) CYTHON_SMALL_CODE; /*proto*/ +__Pyx_PyMODINIT_FUNC PyInit_recom_comparer_sub(void) +#if CYTHON_PEP489_MULTI_PHASE_INIT +{ + return PyModuleDef_Init(&__pyx_moduledef); +} +static CYTHON_SMALL_CODE int __Pyx_check_single_interpreter(void) { + #if PY_VERSION_HEX >= 0x030700A1 + static PY_INT64_T main_interpreter_id = -1; + PY_INT64_T current_id = PyInterpreterState_GetID(PyThreadState_Get()->interp); + if (main_interpreter_id == -1) { + main_interpreter_id = current_id; + return (unlikely(current_id == -1)) ? -1 : 0; + } else if (unlikely(main_interpreter_id != current_id)) + #else + static PyInterpreterState *main_interpreter = NULL; + PyInterpreterState *current_interpreter = PyThreadState_Get()->interp; + if (!main_interpreter) { + main_interpreter = current_interpreter; + } else if (unlikely(main_interpreter != current_interpreter)) + #endif + { + PyErr_SetString( + PyExc_ImportError, + "Interpreter change detected - this module can only be loaded into one interpreter per process."); + return -1; + } + return 0; +} +static CYTHON_SMALL_CODE int __Pyx_copy_spec_to_module(PyObject *spec, PyObject *moddict, const char* from_name, const char* to_name, int allow_none) { + PyObject *value = PyObject_GetAttrString(spec, from_name); + int result = 0; + if (likely(value)) { + if (allow_none || value != Py_None) { + result = PyDict_SetItemString(moddict, to_name, value); + } + Py_DECREF(value); + } else if (PyErr_ExceptionMatches(PyExc_AttributeError)) { + PyErr_Clear(); + } else { + result = -1; + } + return result; +} +static CYTHON_SMALL_CODE PyObject* __pyx_pymod_create(PyObject *spec, CYTHON_UNUSED PyModuleDef *def) { + PyObject *module = NULL, *moddict, *modname; + if (__Pyx_check_single_interpreter()) + return NULL; + if (__pyx_m) + return __Pyx_NewRef(__pyx_m); + modname = PyObject_GetAttrString(spec, "name"); + if (unlikely(!modname)) goto bad; + module = PyModule_NewObject(modname); + Py_DECREF(modname); + if (unlikely(!module)) goto bad; + moddict = PyModule_GetDict(module); + if (unlikely(!moddict)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "loader", "__loader__", 1) < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "origin", "__file__", 1) < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "parent", "__package__", 1) < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "submodule_search_locations", "__path__", 0) < 0)) goto bad; + return module; +bad: + Py_XDECREF(module); + return NULL; +} + + +static CYTHON_SMALL_CODE int __pyx_pymod_exec_recom_comparer_sub(PyObject *__pyx_pyinit_module) +#endif +#endif +{ + PyObject *__pyx_t_1 = NULL; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; + PyObject *__pyx_t_4 = NULL; + PyObject *__pyx_t_5 = NULL; + PyObject *__pyx_t_6 = NULL; + static PyThread_type_lock __pyx_t_7[8]; + int __pyx_lineno = 0; + const char *__pyx_filename = NULL; + int __pyx_clineno = 0; + __Pyx_RefNannyDeclarations + #if CYTHON_PEP489_MULTI_PHASE_INIT + if (__pyx_m) { + if (__pyx_m == __pyx_pyinit_module) return 0; + PyErr_SetString(PyExc_RuntimeError, "Module 'recom_comparer_sub' has already been imported. Re-initialisation is not supported."); + return -1; + } + #elif PY_MAJOR_VERSION >= 3 + if (__pyx_m) return __Pyx_NewRef(__pyx_m); + #endif + #if CYTHON_REFNANNY +__Pyx_RefNanny = __Pyx_RefNannyImportAPI("refnanny"); +if (!__Pyx_RefNanny) { + PyErr_Clear(); + __Pyx_RefNanny = __Pyx_RefNannyImportAPI("Cython.Runtime.refnanny"); + if (!__Pyx_RefNanny) + Py_FatalError("failed to import 'refnanny' module"); +} +#endif + __Pyx_RefNannySetupContext("__Pyx_PyMODINIT_FUNC PyInit_recom_comparer_sub(void)", 0); + if (__Pyx_check_binary_version() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #ifdef __Pxy_PyFrame_Initialize_Offsets + __Pxy_PyFrame_Initialize_Offsets(); + #endif + __pyx_empty_tuple = PyTuple_New(0); if (unlikely(!__pyx_empty_tuple)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_empty_bytes = PyBytes_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_bytes)) __PYX_ERR(0, 1, __pyx_L1_error) + __pyx_empty_unicode = PyUnicode_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_unicode)) __PYX_ERR(0, 1, __pyx_L1_error) + #ifdef __Pyx_CyFunction_USED + if (__pyx_CyFunction_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + #ifdef __Pyx_FusedFunction_USED + if (__pyx_FusedFunction_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + #ifdef __Pyx_Coroutine_USED + if (__pyx_Coroutine_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + #ifdef __Pyx_Generator_USED + if (__pyx_Generator_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + #ifdef __Pyx_AsyncGen_USED + if (__pyx_AsyncGen_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + #ifdef __Pyx_StopAsyncIteration_USED + if (__pyx_StopAsyncIteration_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + /*--- Library function declarations ---*/ + /*--- Threads initialization code ---*/ + #if defined(__PYX_FORCE_INIT_THREADS) && __PYX_FORCE_INIT_THREADS + #ifdef WITH_THREAD /* Python build with threading support? */ + PyEval_InitThreads(); + #endif + #endif + /*--- Module creation code ---*/ + #if CYTHON_PEP489_MULTI_PHASE_INIT + __pyx_m = __pyx_pyinit_module; + Py_INCREF(__pyx_m); + #else + #if PY_MAJOR_VERSION < 3 + __pyx_m = Py_InitModule4("recom_comparer_sub", __pyx_methods, 0, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m); + #else + __pyx_m = PyModule_Create(&__pyx_moduledef); + #endif + if (unlikely(!__pyx_m)) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + __pyx_d = PyModule_GetDict(__pyx_m); if (unlikely(!__pyx_d)) __PYX_ERR(0, 1, __pyx_L1_error) + Py_INCREF(__pyx_d); + __pyx_b = PyImport_AddModule(__Pyx_BUILTIN_MODULE_NAME); if (unlikely(!__pyx_b)) __PYX_ERR(0, 1, __pyx_L1_error) + Py_INCREF(__pyx_b); + __pyx_cython_runtime = PyImport_AddModule((char *) "cython_runtime"); if (unlikely(!__pyx_cython_runtime)) __PYX_ERR(0, 1, __pyx_L1_error) + Py_INCREF(__pyx_cython_runtime); + if (PyObject_SetAttrString(__pyx_m, "__builtins__", __pyx_b) < 0) __PYX_ERR(0, 1, __pyx_L1_error); + /*--- Initialize various global constants etc. ---*/ + if (__Pyx_InitGlobals() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #if PY_MAJOR_VERSION < 3 && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT) + if (__Pyx_init_sys_getdefaultencoding_params() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + if (__pyx_module_is_main_cornac__models__comparer__recom_comparer_sub) { + if (PyObject_SetAttr(__pyx_m, __pyx_n_s_name_2, __pyx_n_s_main) < 0) __PYX_ERR(0, 1, __pyx_L1_error) + } + #if PY_MAJOR_VERSION >= 3 + { + PyObject *modules = PyImport_GetModuleDict(); if (unlikely(!modules)) __PYX_ERR(0, 1, __pyx_L1_error) + if (!PyDict_GetItemString(modules, "cornac.models.comparer.recom_comparer_sub")) { + if (unlikely(PyDict_SetItemString(modules, "cornac.models.comparer.recom_comparer_sub", __pyx_m) < 0)) __PYX_ERR(0, 1, __pyx_L1_error) + } + } + #endif + /*--- Builtin init code ---*/ + if (__Pyx_InitCachedBuiltins() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + /*--- Constants init code ---*/ + if (__Pyx_InitCachedConstants() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + /*--- Global type/function init code ---*/ + (void)__Pyx_modinit_global_init_code(); + (void)__Pyx_modinit_variable_export_code(); + (void)__Pyx_modinit_function_export_code(); + if (unlikely(__Pyx_modinit_type_init_code() < 0)) __PYX_ERR(0, 1, __pyx_L1_error) + if (unlikely(__Pyx_modinit_type_import_code() < 0)) __PYX_ERR(0, 1, __pyx_L1_error) + (void)__Pyx_modinit_variable_import_code(); + if (unlikely(__Pyx_modinit_function_import_code() < 0)) __PYX_ERR(0, 1, __pyx_L1_error) + /*--- Execution code ---*/ + #if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED) + if (__Pyx_patch_abc() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + + /* "cornac/models/comparer/recom_comparer_sub.pyx":18 + * # cython: language_level=3 + * + * import multiprocessing as mp # <<<<<<<<<<<<<< + * + * cimport cython + */ + __pyx_t_1 = __Pyx_Import(__pyx_n_s_multiprocessing, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 18, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_mp, __pyx_t_1) < 0) __PYX_ERR(0, 18, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":25 + * from libc.math cimport sqrt, log, exp + * + * import scipy.sparse as sp # <<<<<<<<<<<<<< + * import numpy as np + * cimport numpy as np + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 25, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s__35); + __Pyx_GIVEREF(__pyx_n_s__35); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s__35); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_scipy_sparse, __pyx_t_1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 25, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + if (PyDict_SetItem(__pyx_d, __pyx_n_s_sp, __pyx_t_2) < 0) __PYX_ERR(0, 25, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":26 + * + * import scipy.sparse as sp + * import numpy as np # <<<<<<<<<<<<<< + * cimport numpy as np + * from tqdm import trange + */ + __pyx_t_2 = __Pyx_Import(__pyx_n_s_numpy, 0, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 26, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_np, __pyx_t_2) < 0) __PYX_ERR(0, 26, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":28 + * import numpy as np + * cimport numpy as np + * from tqdm import trange # <<<<<<<<<<<<<< + * from itertools import combinations + * from collections import Counter, OrderedDict + */ + __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 28, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_n_s_trange); + __Pyx_GIVEREF(__pyx_n_s_trange); + PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_trange); + __pyx_t_1 = __Pyx_Import(__pyx_n_s_tqdm, __pyx_t_2, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 28, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_trange); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 28, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_trange, __pyx_t_2) < 0) __PYX_ERR(0, 28, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":29 + * cimport numpy as np + * from tqdm import trange + * from itertools import combinations # <<<<<<<<<<<<<< + * from collections import Counter, OrderedDict + * from time import time + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 29, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s_combinations); + __Pyx_GIVEREF(__pyx_n_s_combinations); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_combinations); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_itertools, __pyx_t_1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 29, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_combinations); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 29, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_combinations, __pyx_t_1) < 0) __PYX_ERR(0, 29, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":30 + * from tqdm import trange + * from itertools import combinations + * from collections import Counter, OrderedDict # <<<<<<<<<<<<<< + * from time import time + * + */ + __pyx_t_2 = PyList_New(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 30, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_n_s_Counter); + __Pyx_GIVEREF(__pyx_n_s_Counter); + PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_Counter); + __Pyx_INCREF(__pyx_n_s_OrderedDict); + __Pyx_GIVEREF(__pyx_n_s_OrderedDict); + PyList_SET_ITEM(__pyx_t_2, 1, __pyx_n_s_OrderedDict); + __pyx_t_1 = __Pyx_Import(__pyx_n_s_collections, __pyx_t_2, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 30, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_Counter); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 30, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_Counter, __pyx_t_2) < 0) __PYX_ERR(0, 30, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 30, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_OrderedDict, __pyx_t_2) < 0) __PYX_ERR(0, 30, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":31 + * from itertools import combinations + * from collections import Counter, OrderedDict + * from time import time # <<<<<<<<<<<<<< + * + * from ..recommender import Recommender + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 31, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s_time); + __Pyx_GIVEREF(__pyx_n_s_time); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_time); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_time, __pyx_t_1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 31, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_time); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 31, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_time, __pyx_t_1) < 0) __PYX_ERR(0, 31, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":33 + * from time import time + * + * from ..recommender import Recommender # <<<<<<<<<<<<<< + * from ...exception import ScoreException + * from ...utils import get_rng + */ + __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 33, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_n_s_Recommender); + __Pyx_GIVEREF(__pyx_n_s_Recommender); + PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_Recommender); + __pyx_t_1 = __Pyx_Import(__pyx_n_s_recommender, __pyx_t_2, 2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 33, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_Recommender); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 33, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_Recommender, __pyx_t_2) < 0) __PYX_ERR(0, 33, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":34 + * + * from ..recommender import Recommender + * from ...exception import ScoreException # <<<<<<<<<<<<<< + * from ...utils import get_rng + * from ...utils.fast_dict cimport IntFloatDict + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 34, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s_ScoreException); + __Pyx_GIVEREF(__pyx_n_s_ScoreException); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_ScoreException); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_exception, __pyx_t_1, 3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 34, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_ScoreException); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 34, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_ScoreException, __pyx_t_1) < 0) __PYX_ERR(0, 34, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":35 + * from ..recommender import Recommender + * from ...exception import ScoreException + * from ...utils import get_rng # <<<<<<<<<<<<<< + * from ...utils.fast_dict cimport IntFloatDict + * from ...utils.init_utils import uniform + */ + __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 35, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_n_s_get_rng); + __Pyx_GIVEREF(__pyx_n_s_get_rng); + PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_get_rng); + __pyx_t_1 = __Pyx_Import(__pyx_n_s_utils, __pyx_t_2, 3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 35, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_get_rng); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 35, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_get_rng, __pyx_t_2) < 0) __PYX_ERR(0, 35, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":37 + * from ...utils import get_rng + * from ...utils.fast_dict cimport IntFloatDict + * from ...utils.init_utils import uniform # <<<<<<<<<<<<<< + * from ..bpr.recom_bpr cimport RNGVector, has_non_zero + * from ..mter import MTER + */ + __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 37, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF(__pyx_n_s_uniform); + __Pyx_GIVEREF(__pyx_n_s_uniform); + PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_uniform); + __pyx_t_2 = __Pyx_Import(__pyx_n_s_utils_init_utils, __pyx_t_1, 3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 37, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_uniform); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 37, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_uniform, __pyx_t_1) < 0) __PYX_ERR(0, 37, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":39 + * from ...utils.init_utils import uniform + * from ..bpr.recom_bpr cimport RNGVector, has_non_zero + * from ..mter import MTER # <<<<<<<<<<<<<< + * from ..mter.recom_mter cimport get_key, get_score + * + */ + __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 39, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_INCREF(__pyx_n_s_MTER); + __Pyx_GIVEREF(__pyx_n_s_MTER); + PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_MTER); + __pyx_t_1 = __Pyx_Import(__pyx_n_s_mter, __pyx_t_2, 2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 39, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_MTER); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 39, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_MTER, __pyx_t_2) < 0) __PYX_ERR(0, 39, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":47 + * + * + * class ComparERSub(MTER): # <<<<<<<<<<<<<< + * """Explainable Recommendation with Comparative Constraints on Subjective Aspect-Level Quality + * + */ + __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_MTER); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 47, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 47, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_GIVEREF(__pyx_t_1); + PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); + __pyx_t_1 = 0; + __pyx_t_1 = __Pyx_CalculateMetaclass(NULL, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 47, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_t_3 = __Pyx_Py3MetaclassPrepare(__pyx_t_1, __pyx_t_2, __pyx_n_s_ComparERSub, __pyx_n_s_ComparERSub, (PyObject *) NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_kp_s_Explainable_Recommendation_with); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 47, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_4 = PyList_New(0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 47, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_4); + + /* "cornac/models/comparer/recom_comparer_sub.pyx":131 + * ACM International Conference on Web Search and Data Mining (WSDM). 2021. + * """ + * def __init__( # <<<<<<<<<<<<<< + * self, + * name="ComparERSub", + */ + __pyx_t_5 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_1__init__, 0, __pyx_n_s_ComparERSub___init, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__37)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 131, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_INCREF(__pyx_t_5); + PyList_Append(__pyx_t_4, __pyx_t_5); + __Pyx_GIVEREF(__pyx_t_5); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_5, __pyx_tuple__38); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_init, __pyx_t_5) < 0) __PYX_ERR(0, 131, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":168 + * + * + * def _build_item_quality_matrix(self, data_set, sentiment): # <<<<<<<<<<<<<< + * start_time = time() + * quality_scores = [] + */ + __pyx_t_5 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_3_build_item_quality_matrix, 0, __pyx_n_s_ComparERSub__build_item_quality, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__41)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 168, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_build_item_quality_matrix, __pyx_t_5) < 0) __PYX_ERR(0, 168, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":203 + * return Y + * + * def _build_data(self, data_set): # <<<<<<<<<<<<<< + * import time + * from tqdm import tqdm + */ + __pyx_t_5 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_5_build_data, 0, __pyx_n_s_ComparERSub__build_data, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__43)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 203, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_build_data, __pyx_t_5) < 0) __PYX_ERR(0, 203, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":280 + * ) + * + * def _build_chrono_purchased_pairs(self, data_set, user_item_aspect, Y): # <<<<<<<<<<<<<< + * start_time = time() + * from tqdm import tqdm + */ + __pyx_t_5 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_7_build_chrono_purchased_pairs, 0, __pyx_n_s_ComparERSub__build_chrono_purcha, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__45)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_build_chrono_purchased_pairs, __pyx_t_5) < 0) __PYX_ERR(0, 280, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":342 + * + * + * def fit(self, train_set, val_set=None): # <<<<<<<<<<<<<< + * """Fit the model to observations. + * + */ + __pyx_t_5 = __Pyx_CyFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_9fit, 0, __pyx_n_s_ComparERSub_fit, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__47)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 342, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_5, __pyx_tuple__48); + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_fit, __pyx_t_5) < 0) __PYX_ERR(0, 342, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":475 + * @cython.boundscheck(False) + * @cython.wraparound(False) + * def _fit_mter( # <<<<<<<<<<<<<< + * self, + * RNGVector rng_pos_uia, + */ + __pyx_t_5 = __Pyx_PyDict_NewPresized(6); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __pyx_t_6 = __pyx_FusedFunction_New(&__pyx_fuse_0_0__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_13_fit_mter, 0, __pyx_n_s_ComparERSub__fit_mter, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__50)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_6, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_5, __pyx_kp_s_float_short, __pyx_t_6) < 0) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __pyx_FusedFunction_New(&__pyx_fuse_0_1__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_15_fit_mter, 0, __pyx_n_s_ComparERSub__fit_mter, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__50)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_6, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_5, __pyx_kp_s_float_int, __pyx_t_6) < 0) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __pyx_FusedFunction_New(&__pyx_fuse_0_2__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_17_fit_mter, 0, __pyx_n_s_ComparERSub__fit_mter, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__50)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_6, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_5, __pyx_kp_s_float_long, __pyx_t_6) < 0) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __pyx_FusedFunction_New(&__pyx_fuse_1_0__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_19_fit_mter, 0, __pyx_n_s_ComparERSub__fit_mter, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__50)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_6, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_5, __pyx_kp_s_double_short, __pyx_t_6) < 0) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __pyx_FusedFunction_New(&__pyx_fuse_1_1__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_21_fit_mter, 0, __pyx_n_s_ComparERSub__fit_mter, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__50)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_6, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_5, __pyx_kp_s_double_int, __pyx_t_6) < 0) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __pyx_FusedFunction_New(&__pyx_fuse_1_2__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_23_fit_mter, 0, __pyx_n_s_ComparERSub__fit_mter, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__50)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_6, __pyx_empty_tuple); + if (PyDict_SetItem(__pyx_t_5, __pyx_kp_s_double_long, __pyx_t_6) < 0) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __pyx_t_6 = __pyx_FusedFunction_New(&__pyx_mdef_6cornac_6models_8comparer_18recom_comparer_sub_11ComparERSub_11_fit_mter, 0, __pyx_n_s_ComparERSub__fit_mter, NULL, __pyx_n_s_cornac_models_comparer_recom_com, __pyx_d, ((PyObject *)__pyx_codeobj__50)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_6, __pyx_empty_tuple); + ((__pyx_FusedFunctionObject *) __pyx_t_6)->__signatures__ = __pyx_t_5; + __Pyx_GIVEREF(__pyx_t_5); + __pyx_t_5 = 0; + if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_fit_mter, __pyx_t_6) < 0) __PYX_ERR(0, 475, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":47 + * + * + * class ComparERSub(MTER): # <<<<<<<<<<<<<< + * """Explainable Recommendation with Comparative Constraints on Subjective Aspect-Level Quality + * + */ + __pyx_t_6 = __Pyx_Py3ClassCreate(__pyx_t_1, __pyx_n_s_ComparERSub, __pyx_t_2, __pyx_t_3, NULL, 0, 0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 47, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_6); + if (__Pyx_CyFunction_InitClassCell(__pyx_t_4, __pyx_t_6) < 0) __PYX_ERR(0, 47, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; + if (PyDict_SetItem(__pyx_d, __pyx_n_s_ComparERSub, __pyx_t_6) < 0) __PYX_ERR(0, 47, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "cornac/models/comparer/recom_comparer_sub.pyx":1 + * # Copyright 2018 The Cornac Authors. All Rights Reserved. # <<<<<<<<<<<<<< + * # + * # Licensed under the Apache License, Version 2.0 (the "License"); + */ + __pyx_t_2 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_2) < 0) __PYX_ERR(0, 1, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "View.MemoryView":209 + * info.obj = self + * + * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< + * + * def __dealloc__(array self): + */ + __pyx_t_2 = __pyx_capsule_create(((void *)(&__pyx_array_getbuffer)), ((char *)"getbuffer(obj, view, flags)")); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 209, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem((PyObject *)__pyx_array_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_2) < 0) __PYX_ERR(2, 209, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + PyType_Modified(__pyx_array_type); + + /* "View.MemoryView":286 + * return self.name + * + * cdef generic = Enum("") # <<<<<<<<<<<<<< + * cdef strided = Enum("") # default + * cdef indirect = Enum("") + */ + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__51, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 286, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_XGOTREF(generic); + __Pyx_DECREF_SET(generic, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_2); + __pyx_t_2 = 0; + + /* "View.MemoryView":287 + * + * cdef generic = Enum("") + * cdef strided = Enum("") # default # <<<<<<<<<<<<<< + * cdef indirect = Enum("") + * + */ + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__52, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 287, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_XGOTREF(strided); + __Pyx_DECREF_SET(strided, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_2); + __pyx_t_2 = 0; + + /* "View.MemoryView":288 + * cdef generic = Enum("") + * cdef strided = Enum("") # default + * cdef indirect = Enum("") # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__53, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 288, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_XGOTREF(indirect); + __Pyx_DECREF_SET(indirect, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_2); + __pyx_t_2 = 0; + + /* "View.MemoryView":291 + * + * + * cdef contiguous = Enum("") # <<<<<<<<<<<<<< + * cdef indirect_contiguous = Enum("") + * + */ + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__54, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 291, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_XGOTREF(contiguous); + __Pyx_DECREF_SET(contiguous, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_2); + __pyx_t_2 = 0; + + /* "View.MemoryView":292 + * + * cdef contiguous = Enum("") + * cdef indirect_contiguous = Enum("") # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_MemviewEnum_type), __pyx_tuple__55, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 292, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + __Pyx_XGOTREF(indirect_contiguous); + __Pyx_DECREF_SET(indirect_contiguous, __pyx_t_2); + __Pyx_GIVEREF(__pyx_t_2); + __pyx_t_2 = 0; + + /* "View.MemoryView":316 + * + * DEF THREAD_LOCKS_PREALLOCATED = 8 + * cdef int __pyx_memoryview_thread_locks_used = 0 # <<<<<<<<<<<<<< + * cdef PyThread_type_lock[THREAD_LOCKS_PREALLOCATED] __pyx_memoryview_thread_locks = [ + * PyThread_allocate_lock(), + */ + __pyx_memoryview_thread_locks_used = 0; + + /* "View.MemoryView":317 + * DEF THREAD_LOCKS_PREALLOCATED = 8 + * cdef int __pyx_memoryview_thread_locks_used = 0 + * cdef PyThread_type_lock[THREAD_LOCKS_PREALLOCATED] __pyx_memoryview_thread_locks = [ # <<<<<<<<<<<<<< + * PyThread_allocate_lock(), + * PyThread_allocate_lock(), + */ + __pyx_t_7[0] = PyThread_allocate_lock(); + __pyx_t_7[1] = PyThread_allocate_lock(); + __pyx_t_7[2] = PyThread_allocate_lock(); + __pyx_t_7[3] = PyThread_allocate_lock(); + __pyx_t_7[4] = PyThread_allocate_lock(); + __pyx_t_7[5] = PyThread_allocate_lock(); + __pyx_t_7[6] = PyThread_allocate_lock(); + __pyx_t_7[7] = PyThread_allocate_lock(); + memcpy(&(__pyx_memoryview_thread_locks[0]), __pyx_t_7, sizeof(__pyx_memoryview_thread_locks[0]) * (8)); + + /* "View.MemoryView":549 + * info.obj = self + * + * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), ((char *)"getbuffer(obj, view, flags)")); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 549, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem((PyObject *)__pyx_memoryview_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_2) < 0) __PYX_ERR(2, 549, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + PyType_Modified(__pyx_memoryview_type); + + /* "View.MemoryView":995 + * return self.from_object + * + * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< + * + * + */ + __pyx_t_2 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), ((char *)"getbuffer(obj, view, flags)")); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 995, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem((PyObject *)__pyx_memoryviewslice_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_2) < 0) __PYX_ERR(2, 995, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + PyType_Modified(__pyx_memoryviewslice_type); + + /* "(tree fragment)":1 + * def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<< + * cdef object __pyx_PickleError + * cdef object __pyx_result + */ + __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_15View_dot_MemoryView_1__pyx_unpickle_Enum, NULL, __pyx_n_s_View_MemoryView); if (unlikely(!__pyx_t_2)) __PYX_ERR(2, 1, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_2); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_pyx_unpickle_Enum, __pyx_t_2) < 0) __PYX_ERR(2, 1, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; + + /* "(tree fragment)":11 + * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) + * return __pyx_result + * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): # <<<<<<<<<<<<<< + * __pyx_result.name = __pyx_state[0] + * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): + */ + + /*--- Wrapped vars code ---*/ + + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + __Pyx_XDECREF(__pyx_t_2); + __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_XDECREF(__pyx_t_6); + if (__pyx_m) { + if (__pyx_d) { + __Pyx_AddTraceback("init cornac.models.comparer.recom_comparer_sub", __pyx_clineno, __pyx_lineno, __pyx_filename); + } + Py_CLEAR(__pyx_m); + } else if (!PyErr_Occurred()) { + PyErr_SetString(PyExc_ImportError, "init cornac.models.comparer.recom_comparer_sub"); + } + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + #if CYTHON_PEP489_MULTI_PHASE_INIT + return (__pyx_m != NULL) ? 0 : -1; + #elif PY_MAJOR_VERSION >= 3 + return __pyx_m; + #else + return; + #endif +} + +/* --- Runtime support code --- */ +/* Refnanny */ +#if CYTHON_REFNANNY +static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) { + PyObject *m = NULL, *p = NULL; + void *r = NULL; + m = PyImport_ImportModule(modname); + if (!m) goto end; + p = PyObject_GetAttrString(m, "RefNannyAPI"); + if (!p) goto end; + r = PyLong_AsVoidPtr(p); +end: + Py_XDECREF(p); + Py_XDECREF(m); + return (__Pyx_RefNannyAPIStruct *)r; +} +#endif + +/* PyObjectGetAttrStr */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) { + PyTypeObject* tp = Py_TYPE(obj); + if (likely(tp->tp_getattro)) + return tp->tp_getattro(obj, attr_name); +#if PY_MAJOR_VERSION < 3 + if (likely(tp->tp_getattr)) + return tp->tp_getattr(obj, PyString_AS_STRING(attr_name)); +#endif + return PyObject_GetAttr(obj, attr_name); +} +#endif + +/* GetBuiltinName */ +static PyObject *__Pyx_GetBuiltinName(PyObject *name) { + PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name); + if (unlikely(!result)) { + PyErr_Format(PyExc_NameError, +#if PY_MAJOR_VERSION >= 3 + "name '%U' is not defined", name); +#else + "name '%.200s' is not defined", PyString_AS_STRING(name)); +#endif + } + return result; +} + +/* RaiseDoubleKeywords */ +static void __Pyx_RaiseDoubleKeywordsError( + const char* func_name, + PyObject* kw_name) +{ + PyErr_Format(PyExc_TypeError, + #if PY_MAJOR_VERSION >= 3 + "%s() got multiple values for keyword argument '%U'", func_name, kw_name); + #else + "%s() got multiple values for keyword argument '%s'", func_name, + PyString_AsString(kw_name)); + #endif +} + +/* ParseKeywords */ +static int __Pyx_ParseOptionalKeywords( + PyObject *kwds, + PyObject **argnames[], + PyObject *kwds2, + PyObject *values[], + Py_ssize_t num_pos_args, + const char* function_name) +{ + PyObject *key = 0, *value = 0; + Py_ssize_t pos = 0; + PyObject*** name; + PyObject*** first_kw_arg = argnames + num_pos_args; + while (PyDict_Next(kwds, &pos, &key, &value)) { + name = first_kw_arg; + while (*name && (**name != key)) name++; + if (*name) { + values[name-argnames] = value; + continue; + } + name = first_kw_arg; + #if PY_MAJOR_VERSION < 3 + if (likely(PyString_Check(key))) { + while (*name) { + if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) + && _PyString_Eq(**name, key)) { + values[name-argnames] = value; + break; + } + name++; + } + if (*name) continue; + else { + PyObject*** argname = argnames; + while (argname != first_kw_arg) { + if ((**argname == key) || ( + (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) + && _PyString_Eq(**argname, key))) { + goto arg_passed_twice; + } + argname++; + } + } + } else + #endif + if (likely(PyUnicode_Check(key))) { + while (*name) { + int cmp = (**name == key) ? 0 : + #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 + (__Pyx_PyUnicode_GET_LENGTH(**name) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 : + #endif + PyUnicode_Compare(**name, key); + if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; + if (cmp == 0) { + values[name-argnames] = value; + break; + } + name++; + } + if (*name) continue; + else { + PyObject*** argname = argnames; + while (argname != first_kw_arg) { + int cmp = (**argname == key) ? 0 : + #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 + (__Pyx_PyUnicode_GET_LENGTH(**argname) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 : + #endif + PyUnicode_Compare(**argname, key); + if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; + if (cmp == 0) goto arg_passed_twice; + argname++; + } + } + } else + goto invalid_keyword_type; + if (kwds2) { + if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; + } else { + goto invalid_keyword; + } + } + return 0; +arg_passed_twice: + __Pyx_RaiseDoubleKeywordsError(function_name, key); + goto bad; +invalid_keyword_type: + PyErr_Format(PyExc_TypeError, + "%.200s() keywords must be strings", function_name); + goto bad; +invalid_keyword: + PyErr_Format(PyExc_TypeError, + #if PY_MAJOR_VERSION < 3 + "%.200s() got an unexpected keyword argument '%.200s'", + function_name, PyString_AsString(key)); + #else + "%s() got an unexpected keyword argument '%U'", + function_name, key); + #endif +bad: + return -1; +} + +/* RaiseArgTupleInvalid */ +static void __Pyx_RaiseArgtupleInvalid( + const char* func_name, + int exact, + Py_ssize_t num_min, + Py_ssize_t num_max, + Py_ssize_t num_found) +{ + Py_ssize_t num_expected; + const char *more_or_less; + if (num_found < num_min) { + num_expected = num_min; + more_or_less = "at least"; + } else { + num_expected = num_max; + more_or_less = "at most"; + } + if (exact) { + more_or_less = "exactly"; + } + PyErr_Format(PyExc_TypeError, + "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)", + func_name, more_or_less, num_expected, + (num_expected == 1) ? "" : "s", num_found); +} + +/* PyObjectCall */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { + PyObject *result; + ternaryfunc call = func->ob_type->tp_call; + if (unlikely(!call)) + return PyObject_Call(func, arg, kw); + if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) + return NULL; + result = (*call)(func, arg, kw); + Py_LeaveRecursiveCall(); + if (unlikely(!result) && unlikely(!PyErr_Occurred())) { + PyErr_SetString( + PyExc_SystemError, + "NULL result without error in PyObject_Call"); + } + return result; +} +#endif + +/* PyObjectSetAttrStr */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value) { + PyTypeObject* tp = Py_TYPE(obj); + if (likely(tp->tp_setattro)) + return tp->tp_setattro(obj, attr_name, value); +#if PY_MAJOR_VERSION < 3 + if (likely(tp->tp_setattr)) + return tp->tp_setattr(obj, PyString_AS_STRING(attr_name), value); +#endif + return PyObject_SetAttr(obj, attr_name, value); +} +#endif + +/* PyDictVersioning */ +#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; +} +static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { + PyObject **dictptr = NULL; + Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; + if (offset) { +#if CYTHON_COMPILING_IN_CPYTHON + dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); +#else + dictptr = _PyObject_GetDictPtr(obj); +#endif + } + return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; +} +static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) + return 0; + return obj_dict_version == __Pyx_get_object_dict_version(obj); +} +#endif + +/* GetModuleGlobalName */ +#if CYTHON_USE_DICT_VERSIONS +static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) +#else +static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) +#endif +{ + PyObject *result; +#if !CYTHON_AVOID_BORROWED_REFS +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 + result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } else if (unlikely(PyErr_Occurred())) { + return NULL; + } +#else + result = PyDict_GetItem(__pyx_d, name); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } +#endif +#else + result = PyObject_GetItem(__pyx_d, name); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } + PyErr_Clear(); +#endif + return __Pyx_GetBuiltinName(name); +} + +/* PyFunctionFastCall */ +#if CYTHON_FAST_PYCALL +static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, + PyObject *globals) { + PyFrameObject *f; + PyThreadState *tstate = __Pyx_PyThreadState_Current; + PyObject **fastlocals; + Py_ssize_t i; + PyObject *result; + assert(globals != NULL); + /* XXX Perhaps we should create a specialized + PyFrame_New() that doesn't take locals, but does + take builtins without sanity checking them. + */ + assert(tstate != NULL); + f = PyFrame_New(tstate, co, globals, NULL); + if (f == NULL) { + return NULL; + } + fastlocals = __Pyx_PyFrame_GetLocalsplus(f); + for (i = 0; i < na; i++) { + Py_INCREF(*args); + fastlocals[i] = *args++; + } + result = PyEval_EvalFrameEx(f,0); + ++tstate->recursion_depth; + Py_DECREF(f); + --tstate->recursion_depth; + return result; +} +#if 1 || PY_VERSION_HEX < 0x030600B1 +static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) { + PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); + PyObject *globals = PyFunction_GET_GLOBALS(func); + PyObject *argdefs = PyFunction_GET_DEFAULTS(func); + PyObject *closure; +#if PY_MAJOR_VERSION >= 3 + PyObject *kwdefs; +#endif + PyObject *kwtuple, **k; + PyObject **d; + Py_ssize_t nd; + Py_ssize_t nk; + PyObject *result; + assert(kwargs == NULL || PyDict_Check(kwargs)); + nk = kwargs ? PyDict_Size(kwargs) : 0; + if (Py_EnterRecursiveCall((char*)" while calling a Python object")) { + return NULL; + } + if ( +#if PY_MAJOR_VERSION >= 3 + co->co_kwonlyargcount == 0 && +#endif + likely(kwargs == NULL || nk == 0) && + co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { + if (argdefs == NULL && co->co_argcount == nargs) { + result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals); + goto done; + } + else if (nargs == 0 && argdefs != NULL + && co->co_argcount == Py_SIZE(argdefs)) { + /* function called with no arguments, but all parameters have + a default value: use default values as arguments .*/ + args = &PyTuple_GET_ITEM(argdefs, 0); + result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals); + goto done; + } + } + if (kwargs != NULL) { + Py_ssize_t pos, i; + kwtuple = PyTuple_New(2 * nk); + if (kwtuple == NULL) { + result = NULL; + goto done; + } + k = &PyTuple_GET_ITEM(kwtuple, 0); + pos = i = 0; + while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) { + Py_INCREF(k[i]); + Py_INCREF(k[i+1]); + i += 2; + } + nk = i / 2; + } + else { + kwtuple = NULL; + k = NULL; + } + closure = PyFunction_GET_CLOSURE(func); +#if PY_MAJOR_VERSION >= 3 + kwdefs = PyFunction_GET_KW_DEFAULTS(func); +#endif + if (argdefs != NULL) { + d = &PyTuple_GET_ITEM(argdefs, 0); + nd = Py_SIZE(argdefs); + } + else { + d = NULL; + nd = 0; + } +#if PY_MAJOR_VERSION >= 3 + result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL, + args, (int)nargs, + k, (int)nk, + d, (int)nd, kwdefs, closure); +#else + result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL, + args, (int)nargs, + k, (int)nk, + d, (int)nd, closure); +#endif + Py_XDECREF(kwtuple); +done: + Py_LeaveRecursiveCall(); + return result; +} +#endif +#endif + +/* PyObjectCallMethO */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { + PyObject *self, *result; + PyCFunction cfunc; + cfunc = PyCFunction_GET_FUNCTION(func); + self = PyCFunction_GET_SELF(func); + if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) + return NULL; + result = cfunc(self, arg); + Py_LeaveRecursiveCall(); + if (unlikely(!result) && unlikely(!PyErr_Occurred())) { + PyErr_SetString( + PyExc_SystemError, + "NULL result without error in PyObject_Call"); + } + return result; +} +#endif + +/* PyObjectCallNoArg */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) { +#if CYTHON_FAST_PYCALL + if (PyFunction_Check(func)) { + return __Pyx_PyFunction_FastCall(func, NULL, 0); + } +#endif +#ifdef __Pyx_CyFunction_USED + if (likely(PyCFunction_Check(func) || __Pyx_CyFunction_Check(func))) +#else + if (likely(PyCFunction_Check(func))) +#endif + { + if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) { + return __Pyx_PyObject_CallMethO(func, NULL); + } + } + return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL); +} +#endif + +/* PyCFunctionFastCall */ +#if CYTHON_FAST_PYCCALL +static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) { + PyCFunctionObject *func = (PyCFunctionObject*)func_obj; + PyCFunction meth = PyCFunction_GET_FUNCTION(func); + PyObject *self = PyCFunction_GET_SELF(func); + int flags = PyCFunction_GET_FLAGS(func); + assert(PyCFunction_Check(func)); + assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))); + assert(nargs >= 0); + assert(nargs == 0 || args != NULL); + /* _PyCFunction_FastCallDict() must not be called with an exception set, + because it may clear it (directly or indirectly) and so the + caller loses its exception */ + assert(!PyErr_Occurred()); + if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) { + return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL); + } else { + return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs); + } +} +#endif + +/* PyObjectCallOneArg */ +#if CYTHON_COMPILING_IN_CPYTHON +static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) { + PyObject *result; + PyObject *args = PyTuple_New(1); + if (unlikely(!args)) return NULL; + Py_INCREF(arg); + PyTuple_SET_ITEM(args, 0, arg); + result = __Pyx_PyObject_Call(func, args, NULL); + Py_DECREF(args); + return result; +} +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { +#if CYTHON_FAST_PYCALL + if (PyFunction_Check(func)) { + return __Pyx_PyFunction_FastCall(func, &arg, 1); + } +#endif + if (likely(PyCFunction_Check(func))) { + if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { + return __Pyx_PyObject_CallMethO(func, arg); +#if CYTHON_FAST_PYCCALL + } else if (__Pyx_PyFastCFunction_Check(func)) { + return __Pyx_PyCFunction_FastCall(func, &arg, 1); +#endif + } + } + return __Pyx__PyObject_CallOneArg(func, arg); +} +#else +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { + PyObject *result; + PyObject *args = PyTuple_Pack(1, arg); + if (unlikely(!args)) return NULL; + result = __Pyx_PyObject_Call(func, args, NULL); + Py_DECREF(args); + return result; +} +#endif + +/* IterFinish */ +static CYTHON_INLINE int __Pyx_IterFinish(void) { +#if CYTHON_FAST_THREAD_STATE + PyThreadState *tstate = __Pyx_PyThreadState_Current; + PyObject* exc_type = tstate->curexc_type; + if (unlikely(exc_type)) { + if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) { + PyObject *exc_value, *exc_tb; + exc_value = tstate->curexc_value; + exc_tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; + Py_DECREF(exc_type); + Py_XDECREF(exc_value); + Py_XDECREF(exc_tb); + return 0; + } else { + return -1; + } + } + return 0; +#else + if (unlikely(PyErr_Occurred())) { + if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) { + PyErr_Clear(); + return 0; + } else { + return -1; + } + } + return 0; +#endif +} + +/* PyObjectGetMethod */ +static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method) { + PyObject *attr; +#if CYTHON_UNPACK_METHODS && CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_PYTYPE_LOOKUP + PyTypeObject *tp = Py_TYPE(obj); + PyObject *descr; + descrgetfunc f = NULL; + PyObject **dictptr, *dict; + int meth_found = 0; + assert (*method == NULL); + if (unlikely(tp->tp_getattro != PyObject_GenericGetAttr)) { + attr = __Pyx_PyObject_GetAttrStr(obj, name); + goto try_unpack; + } + if (unlikely(tp->tp_dict == NULL) && unlikely(PyType_Ready(tp) < 0)) { + return 0; + } + descr = _PyType_Lookup(tp, name); + if (likely(descr != NULL)) { + Py_INCREF(descr); +#if PY_MAJOR_VERSION >= 3 + #ifdef __Pyx_CyFunction_USED + if (likely(PyFunction_Check(descr) || (Py_TYPE(descr) == &PyMethodDescr_Type) || __Pyx_CyFunction_Check(descr))) + #else + if (likely(PyFunction_Check(descr) || (Py_TYPE(descr) == &PyMethodDescr_Type))) + #endif +#else + #ifdef __Pyx_CyFunction_USED + if (likely(PyFunction_Check(descr) || __Pyx_CyFunction_Check(descr))) + #else + if (likely(PyFunction_Check(descr))) + #endif +#endif + { + meth_found = 1; + } else { + f = Py_TYPE(descr)->tp_descr_get; + if (f != NULL && PyDescr_IsData(descr)) { + attr = f(descr, obj, (PyObject *)Py_TYPE(obj)); + Py_DECREF(descr); + goto try_unpack; + } + } + } + dictptr = _PyObject_GetDictPtr(obj); + if (dictptr != NULL && (dict = *dictptr) != NULL) { + Py_INCREF(dict); + attr = __Pyx_PyDict_GetItemStr(dict, name); + if (attr != NULL) { + Py_INCREF(attr); + Py_DECREF(dict); + Py_XDECREF(descr); + goto try_unpack; + } + Py_DECREF(dict); + } + if (meth_found) { + *method = descr; + return 1; + } + if (f != NULL) { + attr = f(descr, obj, (PyObject *)Py_TYPE(obj)); + Py_DECREF(descr); + goto try_unpack; + } + if (descr != NULL) { + *method = descr; + return 0; + } + PyErr_Format(PyExc_AttributeError, +#if PY_MAJOR_VERSION >= 3 + "'%.50s' object has no attribute '%U'", + tp->tp_name, name); +#else + "'%.50s' object has no attribute '%.400s'", + tp->tp_name, PyString_AS_STRING(name)); +#endif + return 0; +#else + attr = __Pyx_PyObject_GetAttrStr(obj, name); + goto try_unpack; +#endif +try_unpack: +#if CYTHON_UNPACK_METHODS + if (likely(attr) && PyMethod_Check(attr) && likely(PyMethod_GET_SELF(attr) == obj)) { + PyObject *function = PyMethod_GET_FUNCTION(attr); + Py_INCREF(function); + Py_DECREF(attr); + *method = function; + return 1; + } +#endif + *method = attr; + return 0; +} + +/* PyObjectCallMethod0 */ +static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) { + PyObject *method = NULL, *result = NULL; + int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method); + if (likely(is_method)) { + result = __Pyx_PyObject_CallOneArg(method, obj); + Py_DECREF(method); + return result; + } + if (unlikely(!method)) goto bad; + result = __Pyx_PyObject_CallNoArg(method); + Py_DECREF(method); +bad: + return result; +} + +/* RaiseNeedMoreValuesToUnpack */ +static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { + PyErr_Format(PyExc_ValueError, + "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", + index, (index == 1) ? "" : "s"); +} + +/* RaiseTooManyValuesToUnpack */ +static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { + PyErr_Format(PyExc_ValueError, + "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); +} + +/* UnpackItemEndCheck */ +static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) { + if (unlikely(retval)) { + Py_DECREF(retval); + __Pyx_RaiseTooManyValuesError(expected); + return -1; + } else { + return __Pyx_IterFinish(); + } + return 0; +} + +/* RaiseNoneIterError */ +static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { + PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); +} + +/* UnpackTupleError */ +static void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) { + if (t == Py_None) { + __Pyx_RaiseNoneNotIterableError(); + } else if (PyTuple_GET_SIZE(t) < index) { + __Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t)); + } else { + __Pyx_RaiseTooManyValuesError(index); + } +} + +/* UnpackTuple2 */ +static CYTHON_INLINE int __Pyx_unpack_tuple2_exact( + PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2, int decref_tuple) { + PyObject *value1 = NULL, *value2 = NULL; +#if CYTHON_COMPILING_IN_PYPY + value1 = PySequence_ITEM(tuple, 0); if (unlikely(!value1)) goto bad; + value2 = PySequence_ITEM(tuple, 1); if (unlikely(!value2)) goto bad; +#else + value1 = PyTuple_GET_ITEM(tuple, 0); Py_INCREF(value1); + value2 = PyTuple_GET_ITEM(tuple, 1); Py_INCREF(value2); +#endif + if (decref_tuple) { + Py_DECREF(tuple); + } + *pvalue1 = value1; + *pvalue2 = value2; + return 0; +#if CYTHON_COMPILING_IN_PYPY +bad: + Py_XDECREF(value1); + Py_XDECREF(value2); + if (decref_tuple) { Py_XDECREF(tuple); } + return -1; +#endif +} +static int __Pyx_unpack_tuple2_generic(PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2, + int has_known_size, int decref_tuple) { + Py_ssize_t index; + PyObject *value1 = NULL, *value2 = NULL, *iter = NULL; + iternextfunc iternext; + iter = PyObject_GetIter(tuple); + if (unlikely(!iter)) goto bad; + if (decref_tuple) { Py_DECREF(tuple); tuple = NULL; } + iternext = Py_TYPE(iter)->tp_iternext; + value1 = iternext(iter); if (unlikely(!value1)) { index = 0; goto unpacking_failed; } + value2 = iternext(iter); if (unlikely(!value2)) { index = 1; goto unpacking_failed; } + if (!has_known_size && unlikely(__Pyx_IternextUnpackEndCheck(iternext(iter), 2))) goto bad; + Py_DECREF(iter); + *pvalue1 = value1; + *pvalue2 = value2; + return 0; +unpacking_failed: + if (!has_known_size && __Pyx_IterFinish() == 0) + __Pyx_RaiseNeedMoreValuesError(index); +bad: + Py_XDECREF(iter); + Py_XDECREF(value1); + Py_XDECREF(value2); + if (decref_tuple) { Py_XDECREF(tuple); } + return -1; +} + +/* dict_iter */ +static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* iterable, int is_dict, PyObject* method_name, + Py_ssize_t* p_orig_length, int* p_source_is_dict) { + is_dict = is_dict || likely(PyDict_CheckExact(iterable)); + *p_source_is_dict = is_dict; + if (is_dict) { +#if !CYTHON_COMPILING_IN_PYPY + *p_orig_length = PyDict_Size(iterable); + Py_INCREF(iterable); + return iterable; +#elif PY_MAJOR_VERSION >= 3 + static PyObject *py_items = NULL, *py_keys = NULL, *py_values = NULL; + PyObject **pp = NULL; + if (method_name) { + const char *name = PyUnicode_AsUTF8(method_name); + if (strcmp(name, "iteritems") == 0) pp = &py_items; + else if (strcmp(name, "iterkeys") == 0) pp = &py_keys; + else if (strcmp(name, "itervalues") == 0) pp = &py_values; + if (pp) { + if (!*pp) { + *pp = PyUnicode_FromString(name + 4); + if (!*pp) + return NULL; + } + method_name = *pp; + } + } +#endif + } + *p_orig_length = 0; + if (method_name) { + PyObject* iter; + iterable = __Pyx_PyObject_CallMethod0(iterable, method_name); + if (!iterable) + return NULL; +#if !CYTHON_COMPILING_IN_PYPY + if (PyTuple_CheckExact(iterable) || PyList_CheckExact(iterable)) + return iterable; +#endif + iter = PyObject_GetIter(iterable); + Py_DECREF(iterable); + return iter; + } + return PyObject_GetIter(iterable); +} +static CYTHON_INLINE int __Pyx_dict_iter_next( + PyObject* iter_obj, CYTHON_NCP_UNUSED Py_ssize_t orig_length, CYTHON_NCP_UNUSED Py_ssize_t* ppos, + PyObject** pkey, PyObject** pvalue, PyObject** pitem, int source_is_dict) { + PyObject* next_item; +#if !CYTHON_COMPILING_IN_PYPY + if (source_is_dict) { + PyObject *key, *value; + if (unlikely(orig_length != PyDict_Size(iter_obj))) { + PyErr_SetString(PyExc_RuntimeError, "dictionary changed size during iteration"); + return -1; + } + if (unlikely(!PyDict_Next(iter_obj, ppos, &key, &value))) { + return 0; + } + if (pitem) { + PyObject* tuple = PyTuple_New(2); + if (unlikely(!tuple)) { + return -1; + } + Py_INCREF(key); + Py_INCREF(value); + PyTuple_SET_ITEM(tuple, 0, key); + PyTuple_SET_ITEM(tuple, 1, value); + *pitem = tuple; + } else { + if (pkey) { + Py_INCREF(key); + *pkey = key; + } + if (pvalue) { + Py_INCREF(value); + *pvalue = value; + } + } + return 1; + } else if (PyTuple_CheckExact(iter_obj)) { + Py_ssize_t pos = *ppos; + if (unlikely(pos >= PyTuple_GET_SIZE(iter_obj))) return 0; + *ppos = pos + 1; + next_item = PyTuple_GET_ITEM(iter_obj, pos); + Py_INCREF(next_item); + } else if (PyList_CheckExact(iter_obj)) { + Py_ssize_t pos = *ppos; + if (unlikely(pos >= PyList_GET_SIZE(iter_obj))) return 0; + *ppos = pos + 1; + next_item = PyList_GET_ITEM(iter_obj, pos); + Py_INCREF(next_item); + } else +#endif + { + next_item = PyIter_Next(iter_obj); + if (unlikely(!next_item)) { + return __Pyx_IterFinish(); + } + } + if (pitem) { + *pitem = next_item; + } else if (pkey && pvalue) { + if (__Pyx_unpack_tuple2(next_item, pkey, pvalue, source_is_dict, source_is_dict, 1)) + return -1; + } else if (pkey) { + *pkey = next_item; + } else { + *pvalue = next_item; + } + return 1; +} + +/* PyObjectCall2Args */ +static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) { + PyObject *args, *result = NULL; + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(function)) { + PyObject *args[2] = {arg1, arg2}; + return __Pyx_PyFunction_FastCall(function, args, 2); + } + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(function)) { + PyObject *args[2] = {arg1, arg2}; + return __Pyx_PyCFunction_FastCall(function, args, 2); + } + #endif + args = PyTuple_New(2); + if (unlikely(!args)) goto done; + Py_INCREF(arg1); + PyTuple_SET_ITEM(args, 0, arg1); + Py_INCREF(arg2); + PyTuple_SET_ITEM(args, 1, arg2); + Py_INCREF(function); + result = __Pyx_PyObject_Call(function, args, NULL); + Py_DECREF(args); + Py_DECREF(function); +done: + return result; +} + +/* GetItemInt */ +static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { + PyObject *r; + if (!j) return NULL; + r = PyObject_GetItem(o, j); + Py_DECREF(j); + return r; +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, + CYTHON_NCP_UNUSED int wraparound, + CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + Py_ssize_t wrapped_i = i; + if (wraparound & unlikely(i < 0)) { + wrapped_i += PyList_GET_SIZE(o); + } + if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) { + PyObject *r = PyList_GET_ITEM(o, wrapped_i); + Py_INCREF(r); + return r; + } + return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); +#else + return PySequence_GetItem(o, i); +#endif +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, + CYTHON_NCP_UNUSED int wraparound, + CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + Py_ssize_t wrapped_i = i; + if (wraparound & unlikely(i < 0)) { + wrapped_i += PyTuple_GET_SIZE(o); + } + if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) { + PyObject *r = PyTuple_GET_ITEM(o, wrapped_i); + Py_INCREF(r); + return r; + } + return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); +#else + return PySequence_GetItem(o, i); +#endif +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, + CYTHON_NCP_UNUSED int wraparound, + CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS + if (is_list || PyList_CheckExact(o)) { + Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); + if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) { + PyObject *r = PyList_GET_ITEM(o, n); + Py_INCREF(r); + return r; + } + } + else if (PyTuple_CheckExact(o)) { + Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); + if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) { + PyObject *r = PyTuple_GET_ITEM(o, n); + Py_INCREF(r); + return r; + } + } else { + PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; + if (likely(m && m->sq_item)) { + if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { + Py_ssize_t l = m->sq_length(o); + if (likely(l >= 0)) { + i += l; + } else { + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) + return NULL; + PyErr_Clear(); + } + } + return m->sq_item(o, i); + } + } +#else + if (is_list || PySequence_Check(o)) { + return PySequence_GetItem(o, i); + } +#endif + return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); +} + +/* ObjectGetItem */ +#if CYTHON_USE_TYPE_SLOTS +static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) { + PyObject *runerr; + Py_ssize_t key_value; + PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence; + if (unlikely(!(m && m->sq_item))) { + PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name); + return NULL; + } + key_value = __Pyx_PyIndex_AsSsize_t(index); + if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) { + return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1); + } + if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) { + PyErr_Clear(); + PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name); + } + return NULL; +} +static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) { + PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping; + if (likely(m && m->mp_subscript)) { + return m->mp_subscript(obj, key); + } + return __Pyx_PyObject_GetIndex(obj, key); +} +#endif + +/* PyObjectCallMethod1 */ +static PyObject* __Pyx__PyObject_CallMethod1(PyObject* method, PyObject* arg) { + PyObject *result = __Pyx_PyObject_CallOneArg(method, arg); + Py_DECREF(method); + return result; +} +static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg) { + PyObject *method = NULL, *result; + int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method); + if (likely(is_method)) { + result = __Pyx_PyObject_Call2Args(method, obj, arg); + Py_DECREF(method); + return result; + } + if (unlikely(!method)) return NULL; + return __Pyx__PyObject_CallMethod1(method, arg); +} + +/* append */ +static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x) { + if (likely(PyList_CheckExact(L))) { + if (unlikely(__Pyx_PyList_Append(L, x) < 0)) return -1; + } else { + PyObject* retval = __Pyx_PyObject_CallMethod1(L, __pyx_n_s_append, x); + if (unlikely(!retval)) + return -1; + Py_DECREF(retval); + } + return 0; +} + +/* Import */ +static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { + PyObject *empty_list = 0; + PyObject *module = 0; + PyObject *global_dict = 0; + PyObject *empty_dict = 0; + PyObject *list; + #if PY_MAJOR_VERSION < 3 + PyObject *py_import; + py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); + if (!py_import) + goto bad; + #endif + if (from_list) + list = from_list; + else { + empty_list = PyList_New(0); + if (!empty_list) + goto bad; + list = empty_list; + } + global_dict = PyModule_GetDict(__pyx_m); + if (!global_dict) + goto bad; + empty_dict = PyDict_New(); + if (!empty_dict) + goto bad; + { + #if PY_MAJOR_VERSION >= 3 + if (level == -1) { + if ((1) && (strchr(__Pyx_MODULE_NAME, '.'))) { + module = PyImport_ImportModuleLevelObject( + name, global_dict, empty_dict, list, 1); + if (!module) { + if (!PyErr_ExceptionMatches(PyExc_ImportError)) + goto bad; + PyErr_Clear(); + } + } + level = 0; + } + #endif + if (!module) { + #if PY_MAJOR_VERSION < 3 + PyObject *py_level = PyInt_FromLong(level); + if (!py_level) + goto bad; + module = PyObject_CallFunctionObjArgs(py_import, + name, global_dict, empty_dict, list, py_level, (PyObject *)NULL); + Py_DECREF(py_level); + #else + module = PyImport_ImportModuleLevelObject( + name, global_dict, empty_dict, list, level); + #endif + } + } +bad: + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(py_import); + #endif + Py_XDECREF(empty_list); + Py_XDECREF(empty_dict); + return module; +} + +/* ImportFrom */ +static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { + PyObject* value = __Pyx_PyObject_GetAttrStr(module, name); + if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) { + PyErr_Format(PyExc_ImportError, + #if PY_MAJOR_VERSION < 3 + "cannot import name %.230s", PyString_AS_STRING(name)); + #else + "cannot import name %S", name); + #endif + } + return value; +} + +/* UnpackUnboundCMethod */ +static int __Pyx_TryUnpackUnboundCMethod(__Pyx_CachedCFunction* target) { + PyObject *method; + method = __Pyx_PyObject_GetAttrStr(target->type, *target->method_name); + if (unlikely(!method)) + return -1; + target->method = method; +#if CYTHON_COMPILING_IN_CPYTHON + #if PY_MAJOR_VERSION >= 3 + if (likely(__Pyx_TypeCheck(method, &PyMethodDescr_Type))) + #endif + { + PyMethodDescrObject *descr = (PyMethodDescrObject*) method; + target->func = descr->d_method->ml_meth; + target->flag = descr->d_method->ml_flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_STACKLESS); + } +#endif + return 0; +} + +/* CallUnboundCMethod1 */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_CallUnboundCMethod1(__Pyx_CachedCFunction* cfunc, PyObject* self, PyObject* arg) { + if (likely(cfunc->func)) { + int flag = cfunc->flag; + if (flag == METH_O) { + return (*(cfunc->func))(self, arg); + } else if (PY_VERSION_HEX >= 0x030600B1 && flag == METH_FASTCALL) { + if (PY_VERSION_HEX >= 0x030700A0) { + return (*(__Pyx_PyCFunctionFast)(void*)(PyCFunction)cfunc->func)(self, &arg, 1); + } else { + return (*(__Pyx_PyCFunctionFastWithKeywords)(void*)(PyCFunction)cfunc->func)(self, &arg, 1, NULL); + } + } else if (PY_VERSION_HEX >= 0x030700A0 && flag == (METH_FASTCALL | METH_KEYWORDS)) { + return (*(__Pyx_PyCFunctionFastWithKeywords)(void*)(PyCFunction)cfunc->func)(self, &arg, 1, NULL); + } + } + return __Pyx__CallUnboundCMethod1(cfunc, self, arg); +} +#endif +static PyObject* __Pyx__CallUnboundCMethod1(__Pyx_CachedCFunction* cfunc, PyObject* self, PyObject* arg){ + PyObject *args, *result = NULL; + if (unlikely(!cfunc->func && !cfunc->method) && unlikely(__Pyx_TryUnpackUnboundCMethod(cfunc) < 0)) return NULL; +#if CYTHON_COMPILING_IN_CPYTHON + if (cfunc->func && (cfunc->flag & METH_VARARGS)) { + args = PyTuple_New(1); + if (unlikely(!args)) goto bad; + Py_INCREF(arg); + PyTuple_SET_ITEM(args, 0, arg); + if (cfunc->flag & METH_KEYWORDS) + result = (*(PyCFunctionWithKeywords)(void*)(PyCFunction)cfunc->func)(self, args, NULL); + else + result = (*cfunc->func)(self, args); + } else { + args = PyTuple_New(2); + if (unlikely(!args)) goto bad; + Py_INCREF(self); + PyTuple_SET_ITEM(args, 0, self); + Py_INCREF(arg); + PyTuple_SET_ITEM(args, 1, arg); + result = __Pyx_PyObject_Call(cfunc->method, args, NULL); + } +#else + args = PyTuple_Pack(2, self, arg); + if (unlikely(!args)) goto bad; + result = __Pyx_PyObject_Call(cfunc->method, args, NULL); +#endif +bad: + Py_XDECREF(args); + return result; +} + +/* CallUnboundCMethod2 */ +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030600B1 +static CYTHON_INLINE PyObject *__Pyx_CallUnboundCMethod2(__Pyx_CachedCFunction *cfunc, PyObject *self, PyObject *arg1, PyObject *arg2) { + if (likely(cfunc->func)) { + PyObject *args[2] = {arg1, arg2}; + if (cfunc->flag == METH_FASTCALL) { + #if PY_VERSION_HEX >= 0x030700A0 + return (*(__Pyx_PyCFunctionFast)(void*)(PyCFunction)cfunc->func)(self, args, 2); + #else + return (*(__Pyx_PyCFunctionFastWithKeywords)(void*)(PyCFunction)cfunc->func)(self, args, 2, NULL); + #endif + } + #if PY_VERSION_HEX >= 0x030700A0 + if (cfunc->flag == (METH_FASTCALL | METH_KEYWORDS)) + return (*(__Pyx_PyCFunctionFastWithKeywords)(void*)(PyCFunction)cfunc->func)(self, args, 2, NULL); + #endif + } + return __Pyx__CallUnboundCMethod2(cfunc, self, arg1, arg2); +} +#endif +static PyObject* __Pyx__CallUnboundCMethod2(__Pyx_CachedCFunction* cfunc, PyObject* self, PyObject* arg1, PyObject* arg2){ + PyObject *args, *result = NULL; + if (unlikely(!cfunc->func && !cfunc->method) && unlikely(__Pyx_TryUnpackUnboundCMethod(cfunc) < 0)) return NULL; +#if CYTHON_COMPILING_IN_CPYTHON + if (cfunc->func && (cfunc->flag & METH_VARARGS)) { + args = PyTuple_New(2); + if (unlikely(!args)) goto bad; + Py_INCREF(arg1); + PyTuple_SET_ITEM(args, 0, arg1); + Py_INCREF(arg2); + PyTuple_SET_ITEM(args, 1, arg2); + if (cfunc->flag & METH_KEYWORDS) + result = (*(PyCFunctionWithKeywords)(void*)(PyCFunction)cfunc->func)(self, args, NULL); + else + result = (*cfunc->func)(self, args); + } else { + args = PyTuple_New(3); + if (unlikely(!args)) goto bad; + Py_INCREF(self); + PyTuple_SET_ITEM(args, 0, self); + Py_INCREF(arg1); + PyTuple_SET_ITEM(args, 1, arg1); + Py_INCREF(arg2); + PyTuple_SET_ITEM(args, 2, arg2); + result = __Pyx_PyObject_Call(cfunc->method, args, NULL); + } +#else + args = PyTuple_Pack(3, self, arg1, arg2); + if (unlikely(!args)) goto bad; + result = __Pyx_PyObject_Call(cfunc->method, args, NULL); +#endif +bad: + Py_XDECREF(args); + return result; +} + +/* dict_getitem_default */ +static PyObject* __Pyx_PyDict_GetItemDefault(PyObject* d, PyObject* key, PyObject* default_value) { + PyObject* value; +#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY + value = PyDict_GetItemWithError(d, key); + if (unlikely(!value)) { + if (unlikely(PyErr_Occurred())) + return NULL; + value = default_value; + } + Py_INCREF(value); + if ((1)); +#else + if (PyString_CheckExact(key) || PyUnicode_CheckExact(key) || PyInt_CheckExact(key)) { + value = PyDict_GetItem(d, key); + if (unlikely(!value)) { + value = default_value; + } + Py_INCREF(value); + } +#endif + else { + if (default_value == Py_None) + value = __Pyx_CallUnboundCMethod1(&__pyx_umethod_PyDict_Type_get, d, key); + else + value = __Pyx_CallUnboundCMethod2(&__pyx_umethod_PyDict_Type_get, d, key, default_value); + } + return value; +} + +/* PyIntBinop */ +#if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) { + (void)inplace; + (void)zerodivision_check; + #if PY_MAJOR_VERSION < 3 + if (likely(PyInt_CheckExact(op1))) { + const long b = intval; + long x; + long a = PyInt_AS_LONG(op1); + x = (long)((unsigned long)a + b); + if (likely((x^a) >= 0 || (x^b) >= 0)) + return PyInt_FromLong(x); + return PyLong_Type.tp_as_number->nb_add(op1, op2); + } + #endif + #if CYTHON_USE_PYLONG_INTERNALS + if (likely(PyLong_CheckExact(op1))) { + const long b = intval; + long a, x; +#ifdef HAVE_LONG_LONG + const PY_LONG_LONG llb = intval; + PY_LONG_LONG lla, llx; +#endif + const digit* digits = ((PyLongObject*)op1)->ob_digit; + const Py_ssize_t size = Py_SIZE(op1); + if (likely(__Pyx_sst_abs(size) <= 1)) { + a = likely(size) ? digits[0] : 0; + if (size == -1) a = -a; + } else { + switch (size) { + case -2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + default: return PyLong_Type.tp_as_number->nb_add(op1, op2); + } + } + x = a + b; + return PyLong_FromLong(x); +#ifdef HAVE_LONG_LONG + long_long: + llx = lla + llb; + return PyLong_FromLongLong(llx); +#endif + + + } + #endif + if (PyFloat_CheckExact(op1)) { + const long b = intval; + double a = PyFloat_AS_DOUBLE(op1); + double result; + PyFPE_START_PROTECT("add", return NULL) + result = ((double)a) + (double)b; + PyFPE_END_PROTECT(result) + return PyFloat_FromDouble(result); + } + return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2); +} +#endif + +/* CallUnboundCMethod0 */ +static PyObject* __Pyx__CallUnboundCMethod0(__Pyx_CachedCFunction* cfunc, PyObject* self) { + PyObject *args, *result = NULL; + if (unlikely(!cfunc->method) && unlikely(__Pyx_TryUnpackUnboundCMethod(cfunc) < 0)) return NULL; +#if CYTHON_ASSUME_SAFE_MACROS + args = PyTuple_New(1); + if (unlikely(!args)) goto bad; + Py_INCREF(self); + PyTuple_SET_ITEM(args, 0, self); +#else + args = PyTuple_Pack(1, self); + if (unlikely(!args)) goto bad; +#endif + result = __Pyx_PyObject_Call(cfunc->method, args, NULL); + Py_DECREF(args); +bad: + return result; +} + +/* py_dict_keys */ +static CYTHON_INLINE PyObject* __Pyx_PyDict_Keys(PyObject* d) { + if (PY_MAJOR_VERSION >= 3) + return __Pyx_CallUnboundCMethod0(&__pyx_umethod_PyDict_Type_keys, d); + else + return PyDict_Keys(d); +} + +/* DictGetItem */ +#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY +static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) { + PyObject *value; + value = PyDict_GetItemWithError(d, key); + if (unlikely(!value)) { + if (!PyErr_Occurred()) { + if (unlikely(PyTuple_Check(key))) { + PyObject* args = PyTuple_Pack(1, key); + if (likely(args)) { + PyErr_SetObject(PyExc_KeyError, args); + Py_DECREF(args); + } + } else { + PyErr_SetObject(PyExc_KeyError, key); + } + } + return NULL; + } + Py_INCREF(value); + return value; +} +#endif + +/* SliceObject */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(PyObject* obj, + Py_ssize_t cstart, Py_ssize_t cstop, + PyObject** _py_start, PyObject** _py_stop, PyObject** _py_slice, + int has_cstart, int has_cstop, CYTHON_UNUSED int wraparound) { +#if CYTHON_USE_TYPE_SLOTS + PyMappingMethods* mp; +#if PY_MAJOR_VERSION < 3 + PySequenceMethods* ms = Py_TYPE(obj)->tp_as_sequence; + if (likely(ms && ms->sq_slice)) { + if (!has_cstart) { + if (_py_start && (*_py_start != Py_None)) { + cstart = __Pyx_PyIndex_AsSsize_t(*_py_start); + if ((cstart == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad; + } else + cstart = 0; + } + if (!has_cstop) { + if (_py_stop && (*_py_stop != Py_None)) { + cstop = __Pyx_PyIndex_AsSsize_t(*_py_stop); + if ((cstop == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad; + } else + cstop = PY_SSIZE_T_MAX; + } + if (wraparound && unlikely((cstart < 0) | (cstop < 0)) && likely(ms->sq_length)) { + Py_ssize_t l = ms->sq_length(obj); + if (likely(l >= 0)) { + if (cstop < 0) { + cstop += l; + if (cstop < 0) cstop = 0; + } + if (cstart < 0) { + cstart += l; + if (cstart < 0) cstart = 0; + } + } else { + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) + goto bad; + PyErr_Clear(); + } + } + return ms->sq_slice(obj, cstart, cstop); + } +#endif + mp = Py_TYPE(obj)->tp_as_mapping; + if (likely(mp && mp->mp_subscript)) +#endif + { + PyObject* result; + PyObject *py_slice, *py_start, *py_stop; + if (_py_slice) { + py_slice = *_py_slice; + } else { + PyObject* owned_start = NULL; + PyObject* owned_stop = NULL; + if (_py_start) { + py_start = *_py_start; + } else { + if (has_cstart) { + owned_start = py_start = PyInt_FromSsize_t(cstart); + if (unlikely(!py_start)) goto bad; + } else + py_start = Py_None; + } + if (_py_stop) { + py_stop = *_py_stop; + } else { + if (has_cstop) { + owned_stop = py_stop = PyInt_FromSsize_t(cstop); + if (unlikely(!py_stop)) { + Py_XDECREF(owned_start); + goto bad; + } + } else + py_stop = Py_None; + } + py_slice = PySlice_New(py_start, py_stop, Py_None); + Py_XDECREF(owned_start); + Py_XDECREF(owned_stop); + if (unlikely(!py_slice)) goto bad; + } +#if CYTHON_USE_TYPE_SLOTS + result = mp->mp_subscript(obj, py_slice); +#else + result = PyObject_GetItem(obj, py_slice); +#endif + if (!_py_slice) { + Py_DECREF(py_slice); + } + return result; + } + PyErr_Format(PyExc_TypeError, + "'%.200s' object is unsliceable", Py_TYPE(obj)->tp_name); +bad: + return NULL; +} + +/* PyIntBinop */ +#if !CYTHON_COMPILING_IN_PYPY +static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) { + (void)inplace; + (void)zerodivision_check; + #if PY_MAJOR_VERSION < 3 + if (likely(PyInt_CheckExact(op1))) { + const long b = intval; + long x; + long a = PyInt_AS_LONG(op1); + x = (long)((unsigned long)a - b); + if (likely((x^a) >= 0 || (x^~b) >= 0)) + return PyInt_FromLong(x); + return PyLong_Type.tp_as_number->nb_subtract(op1, op2); + } + #endif + #if CYTHON_USE_PYLONG_INTERNALS + if (likely(PyLong_CheckExact(op1))) { + const long b = intval; + long a, x; +#ifdef HAVE_LONG_LONG + const PY_LONG_LONG llb = intval; + PY_LONG_LONG lla, llx; +#endif + const digit* digits = ((PyLongObject*)op1)->ob_digit; + const Py_ssize_t size = Py_SIZE(op1); + if (likely(__Pyx_sst_abs(size) <= 1)) { + a = likely(size) ? digits[0] : 0; + if (size == -1) a = -a; + } else { + switch (size) { + case -2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case -4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + case 4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; +#ifdef HAVE_LONG_LONG + } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { + lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); + goto long_long; +#endif + } + CYTHON_FALLTHROUGH; + default: return PyLong_Type.tp_as_number->nb_subtract(op1, op2); + } + } + x = a - b; + return PyLong_FromLong(x); +#ifdef HAVE_LONG_LONG + long_long: + llx = lla - llb; + return PyLong_FromLongLong(llx); +#endif + + + } + #endif + if (PyFloat_CheckExact(op1)) { + const long b = intval; + double a = PyFloat_AS_DOUBLE(op1); + double result; + PyFPE_START_PROTECT("subtract", return NULL) + result = ((double)a) - (double)b; + PyFPE_END_PROTECT(result) + return PyFloat_FromDouble(result); + } + return (inplace ? PyNumber_InPlaceSubtract : PyNumber_Subtract)(op1, op2); +} +#endif + +/* pyfrozenset_new */ +static CYTHON_INLINE PyObject* __Pyx_PyFrozenSet_New(PyObject* it) { + if (it) { + PyObject* result; +#if CYTHON_COMPILING_IN_PYPY + PyObject* args; + args = PyTuple_Pack(1, it); + if (unlikely(!args)) + return NULL; + result = PyObject_Call((PyObject*)&PyFrozenSet_Type, args, NULL); + Py_DECREF(args); + return result; +#else + if (PyFrozenSet_CheckExact(it)) { + Py_INCREF(it); + return it; + } + result = PyFrozenSet_New(it); + if (unlikely(!result)) + return NULL; + if (likely(PySet_GET_SIZE(result))) + return result; + Py_DECREF(result); +#endif + } +#if CYTHON_USE_TYPE_SLOTS + return PyFrozenSet_Type.tp_new(&PyFrozenSet_Type, __pyx_empty_tuple, NULL); +#else + return PyObject_Call((PyObject*)&PyFrozenSet_Type, __pyx_empty_tuple, NULL); +#endif +} + +/* PySetContains */ +static int __Pyx_PySet_ContainsUnhashable(PyObject *set, PyObject *key) { + int result = -1; + if (PySet_Check(key) && PyErr_ExceptionMatches(PyExc_TypeError)) { + PyObject *tmpkey; + PyErr_Clear(); + tmpkey = __Pyx_PyFrozenSet_New(key); + if (tmpkey != NULL) { + result = PySet_Contains(set, tmpkey); + Py_DECREF(tmpkey); + } + } + return result; +} +static CYTHON_INLINE int __Pyx_PySet_ContainsTF(PyObject* key, PyObject* set, int eq) { + int result = PySet_Contains(set, key); + if (unlikely(result < 0)) { + result = __Pyx_PySet_ContainsUnhashable(set, key); + } + return unlikely(result < 0) ? result : (result == (eq == Py_EQ)); +} + +/* PyObjectFormatAndDecref */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatSimpleAndDecref(PyObject* s, PyObject* f) { + if (unlikely(!s)) return NULL; + if (likely(PyUnicode_CheckExact(s))) return s; + #if PY_MAJOR_VERSION < 3 + if (likely(PyString_CheckExact(s))) { + PyObject *result = PyUnicode_FromEncodedObject(s, NULL, "strict"); + Py_DECREF(s); + return result; + } + #endif + return __Pyx_PyObject_FormatAndDecref(s, f); +} +static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatAndDecref(PyObject* s, PyObject* f) { + PyObject *result = PyObject_Format(s, f); + Py_DECREF(s); + return result; +} + +/* PyObjectFormat */ +#if CYTHON_USE_UNICODE_WRITER +static PyObject* __Pyx_PyObject_Format(PyObject* obj, PyObject* format_spec) { + int ret; + _PyUnicodeWriter writer; + if (likely(PyFloat_CheckExact(obj))) { +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x03040000 + _PyUnicodeWriter_Init(&writer, 0); +#else + _PyUnicodeWriter_Init(&writer); +#endif + ret = _PyFloat_FormatAdvancedWriter( + &writer, + obj, + format_spec, 0, PyUnicode_GET_LENGTH(format_spec)); + } else if (likely(PyLong_CheckExact(obj))) { +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x03040000 + _PyUnicodeWriter_Init(&writer, 0); +#else + _PyUnicodeWriter_Init(&writer); +#endif + ret = _PyLong_FormatAdvancedWriter( + &writer, + obj, + format_spec, 0, PyUnicode_GET_LENGTH(format_spec)); + } else { + return PyObject_Format(obj, format_spec); + } + if (unlikely(ret == -1)) { + _PyUnicodeWriter_Dealloc(&writer); + return NULL; + } + return _PyUnicodeWriter_Finish(&writer); +} +#endif + +/* JoinPyUnicode */ +static PyObject* __Pyx_PyUnicode_Join(PyObject* value_tuple, Py_ssize_t value_count, Py_ssize_t result_ulength, + CYTHON_UNUSED Py_UCS4 max_char) { +#if CYTHON_USE_UNICODE_INTERNALS && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + PyObject *result_uval; + int result_ukind; + Py_ssize_t i, char_pos; + void *result_udata; +#if CYTHON_PEP393_ENABLED + result_uval = PyUnicode_New(result_ulength, max_char); + if (unlikely(!result_uval)) return NULL; + result_ukind = (max_char <= 255) ? PyUnicode_1BYTE_KIND : (max_char <= 65535) ? PyUnicode_2BYTE_KIND : PyUnicode_4BYTE_KIND; + result_udata = PyUnicode_DATA(result_uval); +#else + result_uval = PyUnicode_FromUnicode(NULL, result_ulength); + if (unlikely(!result_uval)) return NULL; + result_ukind = sizeof(Py_UNICODE); + result_udata = PyUnicode_AS_UNICODE(result_uval); +#endif + char_pos = 0; + for (i=0; i < value_count; i++) { + int ukind; + Py_ssize_t ulength; + void *udata; + PyObject *uval = PyTuple_GET_ITEM(value_tuple, i); + if (unlikely(__Pyx_PyUnicode_READY(uval))) + goto bad; + ulength = __Pyx_PyUnicode_GET_LENGTH(uval); + if (unlikely(!ulength)) + continue; + if (unlikely(char_pos + ulength < 0)) + goto overflow; + ukind = __Pyx_PyUnicode_KIND(uval); + udata = __Pyx_PyUnicode_DATA(uval); + if (!CYTHON_PEP393_ENABLED || ukind == result_ukind) { + memcpy((char *)result_udata + char_pos * result_ukind, udata, (size_t) (ulength * result_ukind)); + } else { + #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030300F0 || defined(_PyUnicode_FastCopyCharacters) + _PyUnicode_FastCopyCharacters(result_uval, char_pos, uval, 0, ulength); + #else + Py_ssize_t j; + for (j=0; j < ulength; j++) { + Py_UCS4 uchar = __Pyx_PyUnicode_READ(ukind, udata, j); + __Pyx_PyUnicode_WRITE(result_ukind, result_udata, char_pos+j, uchar); + } + #endif + } + char_pos += ulength; + } + return result_uval; +overflow: + PyErr_SetString(PyExc_OverflowError, "join() result is too long for a Python string"); +bad: + Py_DECREF(result_uval); + return NULL; +#else + result_ulength++; + value_count++; + return PyUnicode_Join(__pyx_empty_unicode, value_tuple); +#endif +} + +/* CIntToDigits */ +static const char DIGIT_PAIRS_10[2*10*10+1] = { + "00010203040506070809" + "10111213141516171819" + "20212223242526272829" + "30313233343536373839" + "40414243444546474849" + "50515253545556575859" + "60616263646566676869" + "70717273747576777879" + "80818283848586878889" + "90919293949596979899" +}; +static const char DIGIT_PAIRS_8[2*8*8+1] = { + "0001020304050607" + "1011121314151617" + "2021222324252627" + "3031323334353637" + "4041424344454647" + "5051525354555657" + "6061626364656667" + "7071727374757677" +}; +static const char DIGITS_HEX[2*16+1] = { + "0123456789abcdef" + "0123456789ABCDEF" +}; + +/* BuildPyUnicode */ +static PyObject* __Pyx_PyUnicode_BuildFromAscii(Py_ssize_t ulength, char* chars, int clength, + int prepend_sign, char padding_char) { + PyObject *uval; + Py_ssize_t uoffset = ulength - clength; +#if CYTHON_USE_UNICODE_INTERNALS + Py_ssize_t i; +#if CYTHON_PEP393_ENABLED + void *udata; + uval = PyUnicode_New(ulength, 127); + if (unlikely(!uval)) return NULL; + udata = PyUnicode_DATA(uval); +#else + Py_UNICODE *udata; + uval = PyUnicode_FromUnicode(NULL, ulength); + if (unlikely(!uval)) return NULL; + udata = PyUnicode_AS_UNICODE(uval); +#endif + if (uoffset > 0) { + i = 0; + if (prepend_sign) { + __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, 0, '-'); + i++; + } + for (; i < uoffset; i++) { + __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, i, padding_char); + } + } + for (i=0; i < clength; i++) { + __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, uoffset+i, chars[i]); + } +#else + { + PyObject *sign = NULL, *padding = NULL; + uval = NULL; + if (uoffset > 0) { + prepend_sign = !!prepend_sign; + if (uoffset > prepend_sign) { + padding = PyUnicode_FromOrdinal(padding_char); + if (likely(padding) && uoffset > prepend_sign + 1) { + PyObject *tmp; + PyObject *repeat = PyInt_FromSize_t(uoffset - prepend_sign); + if (unlikely(!repeat)) goto done_or_error; + tmp = PyNumber_Multiply(padding, repeat); + Py_DECREF(repeat); + Py_DECREF(padding); + padding = tmp; + } + if (unlikely(!padding)) goto done_or_error; + } + if (prepend_sign) { + sign = PyUnicode_FromOrdinal('-'); + if (unlikely(!sign)) goto done_or_error; + } + } + uval = PyUnicode_DecodeASCII(chars, clength, NULL); + if (likely(uval) && padding) { + PyObject *tmp = PyNumber_Add(padding, uval); + Py_DECREF(uval); + uval = tmp; + } + if (likely(uval) && sign) { + PyObject *tmp = PyNumber_Add(sign, uval); + Py_DECREF(uval); + uval = tmp; + } +done_or_error: + Py_XDECREF(padding); + Py_XDECREF(sign); + } +#endif + return uval; +} + +/* CIntToPyUnicode */ +#ifdef _MSC_VER + #ifndef _MSC_STDINT_H_ + #if _MSC_VER < 1300 + typedef unsigned short uint16_t; + #else + typedef unsigned __int16 uint16_t; + #endif + #endif +#else + #include +#endif +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char, char format_char) { + char digits[sizeof(Py_ssize_t)*3+2]; + char *dpos, *end = digits + sizeof(Py_ssize_t)*3+2; + const char *hex_digits = DIGITS_HEX; + Py_ssize_t length, ulength; + int prepend_sign, last_one_off; + Py_ssize_t remaining; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const Py_ssize_t neg_one = (Py_ssize_t) -1, const_zero = (Py_ssize_t) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (format_char == 'X') { + hex_digits += 16; + format_char = 'x'; + } + remaining = value; + last_one_off = 0; + dpos = end; + do { + int digit_pos; + switch (format_char) { + case 'o': + digit_pos = abs((int)(remaining % (8*8))); + remaining = (Py_ssize_t) (remaining / (8*8)); + dpos -= 2; + *(uint16_t*)dpos = ((const uint16_t*)DIGIT_PAIRS_8)[digit_pos]; + last_one_off = (digit_pos < 8); + break; + case 'd': + digit_pos = abs((int)(remaining % (10*10))); + remaining = (Py_ssize_t) (remaining / (10*10)); + dpos -= 2; + *(uint16_t*)dpos = ((const uint16_t*)DIGIT_PAIRS_10)[digit_pos]; + last_one_off = (digit_pos < 10); + break; + case 'x': + *(--dpos) = hex_digits[abs((int)(remaining % 16))]; + remaining = (Py_ssize_t) (remaining / 16); + break; + default: + assert(0); + break; + } + } while (unlikely(remaining != 0)); + if (last_one_off) { + assert(*dpos == '0'); + dpos++; + } + length = end - dpos; + ulength = length; + prepend_sign = 0; + if (!is_unsigned && value <= neg_one) { + if (padding_char == ' ' || width <= length + 1) { + *(--dpos) = '-'; + ++length; + } else { + prepend_sign = 1; + } + ++ulength; + } + if (width > ulength) { + ulength = width; + } + if (ulength == 1) { + return PyUnicode_FromOrdinal(*dpos); + } + return __Pyx_PyUnicode_BuildFromAscii(ulength, dpos, (int) length, prepend_sign, padding_char); +} + +/* PyIntBinop */ +#if !CYTHON_COMPILING_IN_PYPY +#if PY_MAJOR_VERSION < 3 || CYTHON_USE_PYLONG_INTERNALS +#define __Pyx_PyInt_TrueDivideObjC_ZeroDivisionError(operand)\ + if (unlikely(zerodivision_check && ((operand) == 0))) {\ + PyErr_SetString(PyExc_ZeroDivisionError, "integer division by zero");\ + return NULL;\ + } +#endif +static PyObject* __Pyx_PyInt_TrueDivideObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) { + (void)inplace; + (void)zerodivision_check; + #if PY_MAJOR_VERSION < 3 + if (likely(PyInt_CheckExact(op1))) { + const long b = intval; + long a = PyInt_AS_LONG(op1); + __Pyx_PyInt_TrueDivideObjC_ZeroDivisionError(b) + if (8 * sizeof(long) <= 53 || likely(labs(a) <= ((PY_LONG_LONG)1 << 53))) { + return PyFloat_FromDouble((double)a / (double)b); + } + return PyInt_Type.tp_as_number->nb_true_divide(op1, op2); + } + #endif + #if CYTHON_USE_PYLONG_INTERNALS + if (likely(PyLong_CheckExact(op1))) { + const long b = intval; + long a, x; + const digit* digits = ((PyLongObject*)op1)->ob_digit; + const Py_ssize_t size = Py_SIZE(op1); + if (likely(__Pyx_sst_abs(size) <= 1)) { + a = likely(size) ? digits[0] : 0; + if (size == -1) a = -a; + } else { + switch (size) { + case -2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT && 1 * PyLong_SHIFT < 53) { + a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; + } + CYTHON_FALLTHROUGH; + case 2: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT && 1 * PyLong_SHIFT < 53) { + a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; + } + CYTHON_FALLTHROUGH; + case -3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT && 2 * PyLong_SHIFT < 53) { + a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; + } + CYTHON_FALLTHROUGH; + case 3: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT && 2 * PyLong_SHIFT < 53) { + a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; + } + CYTHON_FALLTHROUGH; + case -4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT && 3 * PyLong_SHIFT < 53) { + a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; + } + CYTHON_FALLTHROUGH; + case 4: + if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT && 3 * PyLong_SHIFT < 53) { + a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); + break; + } + CYTHON_FALLTHROUGH; + default: return PyLong_Type.tp_as_number->nb_true_divide(op1, op2); + } + } + __Pyx_PyInt_TrueDivideObjC_ZeroDivisionError(b) + if ((8 * sizeof(long) <= 53 || likely(labs(a) <= ((PY_LONG_LONG)1 << 53))) + || __Pyx_sst_abs(size) <= 52 / PyLong_SHIFT) { + return PyFloat_FromDouble((double)a / (double)b); + } + return PyLong_Type.tp_as_number->nb_true_divide(op1, op2); + return PyLong_FromLong(x); + + } + #endif + if (PyFloat_CheckExact(op1)) { + const long b = intval; + double a = PyFloat_AS_DOUBLE(op1); + double result; + if (unlikely(zerodivision_check && b == 0)) { + PyErr_SetString(PyExc_ZeroDivisionError, "float division by zero"); + return NULL; + } + PyFPE_START_PROTECT("divide", return NULL) + result = ((double)a) / (double)b; + PyFPE_END_PROTECT(result) + return PyFloat_FromDouble(result); + } + return (inplace ? PyNumber_InPlaceTrueDivide : PyNumber_TrueDivide)(op1, op2); +} +#endif + +/* GetTopmostException */ +#if CYTHON_USE_EXC_INFO_STACK +static _PyErr_StackItem * +__Pyx_PyErr_GetTopmostException(PyThreadState *tstate) +{ + _PyErr_StackItem *exc_info = tstate->exc_info; + while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) && + exc_info->previous_item != NULL) + { + exc_info = exc_info->previous_item; + } + return exc_info; +} +#endif + +/* SaveResetException */ +#if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); + *type = exc_info->exc_type; + *value = exc_info->exc_value; + *tb = exc_info->exc_traceback; + #else + *type = tstate->exc_type; + *value = tstate->exc_value; + *tb = tstate->exc_traceback; + #endif + Py_XINCREF(*type); + Py_XINCREF(*value); + Py_XINCREF(*tb); +} +static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = type; + exc_info->exc_value = value; + exc_info->exc_traceback = tb; + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = type; + tstate->exc_value = value; + tstate->exc_traceback = tb; + #endif + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +} +#endif + +/* GetException */ +#if CYTHON_FAST_THREAD_STATE +static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) +#else +static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) +#endif +{ + PyObject *local_type, *local_value, *local_tb; +#if CYTHON_FAST_THREAD_STATE + PyObject *tmp_type, *tmp_value, *tmp_tb; + local_type = tstate->curexc_type; + local_value = tstate->curexc_value; + local_tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; +#else + PyErr_Fetch(&local_type, &local_value, &local_tb); +#endif + PyErr_NormalizeException(&local_type, &local_value, &local_tb); +#if CYTHON_FAST_THREAD_STATE + if (unlikely(tstate->curexc_type)) +#else + if (unlikely(PyErr_Occurred())) +#endif + goto bad; + #if PY_MAJOR_VERSION >= 3 + if (local_tb) { + if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) + goto bad; + } + #endif + Py_XINCREF(local_tb); + Py_XINCREF(local_type); + Py_XINCREF(local_value); + *type = local_type; + *value = local_value; + *tb = local_tb; +#if CYTHON_FAST_THREAD_STATE + #if CYTHON_USE_EXC_INFO_STACK + { + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = local_type; + exc_info->exc_value = local_value; + exc_info->exc_traceback = local_tb; + } + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = local_type; + tstate->exc_value = local_value; + tstate->exc_traceback = local_tb; + #endif + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +#else + PyErr_SetExcInfo(local_type, local_value, local_tb); +#endif + return 0; +bad: + *type = 0; + *value = 0; + *tb = 0; + Py_XDECREF(local_type); + Py_XDECREF(local_value); + Py_XDECREF(local_tb); + return -1; +} + +/* PyErrFetchRestore */ +#if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + tmp_type = tstate->curexc_type; + tmp_value = tstate->curexc_value; + tmp_tb = tstate->curexc_traceback; + tstate->curexc_type = type; + tstate->curexc_value = value; + tstate->curexc_traceback = tb; + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +} +static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + *type = tstate->curexc_type; + *value = tstate->curexc_value; + *tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; +} +#endif + +/* RaiseException */ +#if PY_MAJOR_VERSION < 3 +static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, + CYTHON_UNUSED PyObject *cause) { + __Pyx_PyThreadState_declare + Py_XINCREF(type); + if (!value || value == Py_None) + value = NULL; + else + Py_INCREF(value); + if (!tb || tb == Py_None) + tb = NULL; + else { + Py_INCREF(tb); + if (!PyTraceBack_Check(tb)) { + PyErr_SetString(PyExc_TypeError, + "raise: arg 3 must be a traceback or None"); + goto raise_error; + } + } + if (PyType_Check(type)) { +#if CYTHON_COMPILING_IN_PYPY + if (!value) { + Py_INCREF(Py_None); + value = Py_None; + } +#endif + PyErr_NormalizeException(&type, &value, &tb); + } else { + if (value) { + PyErr_SetString(PyExc_TypeError, + "instance exception may not have a separate value"); + goto raise_error; + } + value = type; + type = (PyObject*) Py_TYPE(type); + Py_INCREF(type); + if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { + PyErr_SetString(PyExc_TypeError, + "raise: exception class must be a subclass of BaseException"); + goto raise_error; + } + } + __Pyx_PyThreadState_assign + __Pyx_ErrRestore(type, value, tb); + return; +raise_error: + Py_XDECREF(value); + Py_XDECREF(type); + Py_XDECREF(tb); + return; +} +#else +static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { + PyObject* owned_instance = NULL; + if (tb == Py_None) { + tb = 0; + } else if (tb && !PyTraceBack_Check(tb)) { + PyErr_SetString(PyExc_TypeError, + "raise: arg 3 must be a traceback or None"); + goto bad; + } + if (value == Py_None) + value = 0; + if (PyExceptionInstance_Check(type)) { + if (value) { + PyErr_SetString(PyExc_TypeError, + "instance exception may not have a separate value"); + goto bad; + } + value = type; + type = (PyObject*) Py_TYPE(value); + } else if (PyExceptionClass_Check(type)) { + PyObject *instance_class = NULL; + if (value && PyExceptionInstance_Check(value)) { + instance_class = (PyObject*) Py_TYPE(value); + if (instance_class != type) { + int is_subclass = PyObject_IsSubclass(instance_class, type); + if (!is_subclass) { + instance_class = NULL; + } else if (unlikely(is_subclass == -1)) { + goto bad; + } else { + type = instance_class; + } + } + } + if (!instance_class) { + PyObject *args; + if (!value) + args = PyTuple_New(0); + else if (PyTuple_Check(value)) { + Py_INCREF(value); + args = value; + } else + args = PyTuple_Pack(1, value); + if (!args) + goto bad; + owned_instance = PyObject_Call(type, args, NULL); + Py_DECREF(args); + if (!owned_instance) + goto bad; + value = owned_instance; + if (!PyExceptionInstance_Check(value)) { + PyErr_Format(PyExc_TypeError, + "calling %R should have returned an instance of " + "BaseException, not %R", + type, Py_TYPE(value)); + goto bad; + } + } + } else { + PyErr_SetString(PyExc_TypeError, + "raise: exception class must be a subclass of BaseException"); + goto bad; + } + if (cause) { + PyObject *fixed_cause; + if (cause == Py_None) { + fixed_cause = NULL; + } else if (PyExceptionClass_Check(cause)) { + fixed_cause = PyObject_CallObject(cause, NULL); + if (fixed_cause == NULL) + goto bad; + } else if (PyExceptionInstance_Check(cause)) { + fixed_cause = cause; + Py_INCREF(fixed_cause); + } else { + PyErr_SetString(PyExc_TypeError, + "exception causes must derive from " + "BaseException"); + goto bad; + } + PyException_SetCause(value, fixed_cause); + } + PyErr_SetObject(type, value); + if (tb) { +#if CYTHON_COMPILING_IN_PYPY + PyObject *tmp_type, *tmp_value, *tmp_tb; + PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); + Py_INCREF(tb); + PyErr_Restore(tmp_type, tmp_value, tb); + Py_XDECREF(tmp_tb); +#else + PyThreadState *tstate = __Pyx_PyThreadState_Current; + PyObject* tmp_tb = tstate->curexc_traceback; + if (tb != tmp_tb) { + Py_INCREF(tb); + tstate->curexc_traceback = tb; + Py_XDECREF(tmp_tb); + } +#endif + } +bad: + Py_XDECREF(owned_instance); + return; +} +#endif + +/* UnicodeAsUCS4 */ +static CYTHON_INLINE Py_UCS4 __Pyx_PyUnicode_AsPy_UCS4(PyObject* x) { + Py_ssize_t length; + #if CYTHON_PEP393_ENABLED + length = PyUnicode_GET_LENGTH(x); + if (likely(length == 1)) { + return PyUnicode_READ_CHAR(x, 0); + } + #else + length = PyUnicode_GET_SIZE(x); + if (likely(length == 1)) { + return PyUnicode_AS_UNICODE(x)[0]; + } + #if Py_UNICODE_SIZE == 2 + else if (PyUnicode_GET_SIZE(x) == 2) { + Py_UCS4 high_val = PyUnicode_AS_UNICODE(x)[0]; + if (high_val >= 0xD800 && high_val <= 0xDBFF) { + Py_UCS4 low_val = PyUnicode_AS_UNICODE(x)[1]; + if (low_val >= 0xDC00 && low_val <= 0xDFFF) { + return 0x10000 + (((high_val & ((1<<10)-1)) << 10) | (low_val & ((1<<10)-1))); + } + } + } + #endif + #endif + PyErr_Format(PyExc_ValueError, + "only single character unicode strings can be converted to Py_UCS4, " + "got length %" CYTHON_FORMAT_SSIZE_T "d", length); + return (Py_UCS4)-1; +} + +/* object_ord */ +static long __Pyx__PyObject_Ord(PyObject* c) { + Py_ssize_t size; + if (PyBytes_Check(c)) { + size = PyBytes_GET_SIZE(c); + if (likely(size == 1)) { + return (unsigned char) PyBytes_AS_STRING(c)[0]; + } +#if PY_MAJOR_VERSION < 3 + } else if (PyUnicode_Check(c)) { + return (long)__Pyx_PyUnicode_AsPy_UCS4(c); +#endif +#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) + } else if (PyByteArray_Check(c)) { + size = PyByteArray_GET_SIZE(c); + if (likely(size == 1)) { + return (unsigned char) PyByteArray_AS_STRING(c)[0]; + } +#endif + } else { + PyErr_Format(PyExc_TypeError, + "ord() expected string of length 1, but %.200s found", c->ob_type->tp_name); + return (long)(Py_UCS4)-1; + } + PyErr_Format(PyExc_TypeError, + "ord() expected a character, but string of length %zd found", size); + return (long)(Py_UCS4)-1; +} + +/* SetItemInt */ +static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) { + int r; + if (!j) return -1; + r = PyObject_SetItem(o, j, v); + Py_DECREF(j); + return r; +} +static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, + CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS + if (is_list || PyList_CheckExact(o)) { + Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o)); + if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o)))) { + PyObject* old = PyList_GET_ITEM(o, n); + Py_INCREF(v); + PyList_SET_ITEM(o, n, v); + Py_DECREF(old); + return 1; + } + } else { + PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; + if (likely(m && m->sq_ass_item)) { + if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { + Py_ssize_t l = m->sq_length(o); + if (likely(l >= 0)) { + i += l; + } else { + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) + return -1; + PyErr_Clear(); + } + } + return m->sq_ass_item(o, i, v); + } + } +#else +#if CYTHON_COMPILING_IN_PYPY + if (is_list || (PySequence_Check(o) && !PyDict_Check(o))) +#else + if (is_list || PySequence_Check(o)) +#endif + { + return PySequence_SetItem(o, i, v); + } +#endif + return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v); +} + +/* ArgTypeTest */ +static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact) +{ + if (unlikely(!type)) { + PyErr_SetString(PyExc_SystemError, "Missing type object"); + return 0; + } + else if (exact) { + #if PY_MAJOR_VERSION == 2 + if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; + #endif + } + else { + if (likely(__Pyx_TypeCheck(obj, type))) return 1; + } + PyErr_Format(PyExc_TypeError, + "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)", + name, type->tp_name, Py_TYPE(obj)->tp_name); + return 0; +} + +/* IsLittleEndian */ +static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) +{ + union { + uint32_t u32; + uint8_t u8[4]; + } S; + S.u32 = 0x01020304; + return S.u8[0] == 4; +} + +/* BufferFormatCheck */ +static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, + __Pyx_BufFmt_StackElem* stack, + __Pyx_TypeInfo* type) { + stack[0].field = &ctx->root; + stack[0].parent_offset = 0; + ctx->root.type = type; + ctx->root.name = "buffer dtype"; + ctx->root.offset = 0; + ctx->head = stack; + ctx->head->field = &ctx->root; + ctx->fmt_offset = 0; + ctx->head->parent_offset = 0; + ctx->new_packmode = '@'; + ctx->enc_packmode = '@'; + ctx->new_count = 1; + ctx->enc_count = 0; + ctx->enc_type = 0; + ctx->is_complex = 0; + ctx->is_valid_array = 0; + ctx->struct_alignment = 0; + while (type->typegroup == 'S') { + ++ctx->head; + ctx->head->field = type->fields; + ctx->head->parent_offset = 0; + type = type->fields->type; + } +} +static int __Pyx_BufFmt_ParseNumber(const char** ts) { + int count; + const char* t = *ts; + if (*t < '0' || *t > '9') { + return -1; + } else { + count = *t++ - '0'; + while (*t >= '0' && *t <= '9') { + count *= 10; + count += *t++ - '0'; + } + } + *ts = t; + return count; +} +static int __Pyx_BufFmt_ExpectNumber(const char **ts) { + int number = __Pyx_BufFmt_ParseNumber(ts); + if (number == -1) + PyErr_Format(PyExc_ValueError,\ + "Does not understand character buffer dtype format string ('%c')", **ts); + return number; +} +static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { + PyErr_Format(PyExc_ValueError, + "Unexpected format string character: '%c'", ch); +} +static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { + switch (ch) { + case '?': return "'bool'"; + case 'c': return "'char'"; + case 'b': return "'signed char'"; + case 'B': return "'unsigned char'"; + case 'h': return "'short'"; + case 'H': return "'unsigned short'"; + case 'i': return "'int'"; + case 'I': return "'unsigned int'"; + case 'l': return "'long'"; + case 'L': return "'unsigned long'"; + case 'q': return "'long long'"; + case 'Q': return "'unsigned long long'"; + case 'f': return (is_complex ? "'complex float'" : "'float'"); + case 'd': return (is_complex ? "'complex double'" : "'double'"); + case 'g': return (is_complex ? "'complex long double'" : "'long double'"); + case 'T': return "a struct"; + case 'O': return "Python object"; + case 'P': return "a pointer"; + case 's': case 'p': return "a string"; + case 0: return "end"; + default: return "unparseable format string"; + } +} +static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return 2; + case 'i': case 'I': case 'l': case 'L': return 4; + case 'q': case 'Q': return 8; + case 'f': return (is_complex ? 8 : 4); + case 'd': return (is_complex ? 16 : 8); + case 'g': { + PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); + return 0; + } + case 'O': case 'P': return sizeof(void*); + default: + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } +} +static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return sizeof(short); + case 'i': case 'I': return sizeof(int); + case 'l': case 'L': return sizeof(long); + #ifdef HAVE_LONG_LONG + case 'q': case 'Q': return sizeof(PY_LONG_LONG); + #endif + case 'f': return sizeof(float) * (is_complex ? 2 : 1); + case 'd': return sizeof(double) * (is_complex ? 2 : 1); + case 'g': return sizeof(long double) * (is_complex ? 2 : 1); + case 'O': case 'P': return sizeof(void*); + default: { + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } + } +} +typedef struct { char c; short x; } __Pyx_st_short; +typedef struct { char c; int x; } __Pyx_st_int; +typedef struct { char c; long x; } __Pyx_st_long; +typedef struct { char c; float x; } __Pyx_st_float; +typedef struct { char c; double x; } __Pyx_st_double; +typedef struct { char c; long double x; } __Pyx_st_longdouble; +typedef struct { char c; void *x; } __Pyx_st_void_p; +#ifdef HAVE_LONG_LONG +typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; +#endif +static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); + case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); + case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); +#ifdef HAVE_LONG_LONG + case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); +#endif + case 'f': return sizeof(__Pyx_st_float) - sizeof(float); + case 'd': return sizeof(__Pyx_st_double) - sizeof(double); + case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); + case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); + default: + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } +} +/* These are for computing the padding at the end of the struct to align + on the first member of the struct. This will probably the same as above, + but we don't have any guarantees. + */ +typedef struct { short x; char c; } __Pyx_pad_short; +typedef struct { int x; char c; } __Pyx_pad_int; +typedef struct { long x; char c; } __Pyx_pad_long; +typedef struct { float x; char c; } __Pyx_pad_float; +typedef struct { double x; char c; } __Pyx_pad_double; +typedef struct { long double x; char c; } __Pyx_pad_longdouble; +typedef struct { void *x; char c; } __Pyx_pad_void_p; +#ifdef HAVE_LONG_LONG +typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; +#endif +static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) { + switch (ch) { + case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; + case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); + case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); + case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); +#ifdef HAVE_LONG_LONG + case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); +#endif + case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); + case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); + case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); + case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); + default: + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } +} +static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { + switch (ch) { + case 'c': + return 'H'; + case 'b': case 'h': case 'i': + case 'l': case 'q': case 's': case 'p': + return 'I'; + case '?': case 'B': case 'H': case 'I': case 'L': case 'Q': + return 'U'; + case 'f': case 'd': case 'g': + return (is_complex ? 'C' : 'R'); + case 'O': + return 'O'; + case 'P': + return 'P'; + default: { + __Pyx_BufFmt_RaiseUnexpectedChar(ch); + return 0; + } + } +} +static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { + if (ctx->head == NULL || ctx->head->field == &ctx->root) { + const char* expected; + const char* quote; + if (ctx->head == NULL) { + expected = "end"; + quote = ""; + } else { + expected = ctx->head->field->type->name; + quote = "'"; + } + PyErr_Format(PyExc_ValueError, + "Buffer dtype mismatch, expected %s%s%s but got %s", + quote, expected, quote, + __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); + } else { + __Pyx_StructField* field = ctx->head->field; + __Pyx_StructField* parent = (ctx->head - 1)->field; + PyErr_Format(PyExc_ValueError, + "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", + field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), + parent->type->name, field->name); + } +} +static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { + char group; + size_t size, offset, arraysize = 1; + if (ctx->enc_type == 0) return 0; + if (ctx->head->field->type->arraysize[0]) { + int i, ndim = 0; + if (ctx->enc_type == 's' || ctx->enc_type == 'p') { + ctx->is_valid_array = ctx->head->field->type->ndim == 1; + ndim = 1; + if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { + PyErr_Format(PyExc_ValueError, + "Expected a dimension of size %zu, got %zu", + ctx->head->field->type->arraysize[0], ctx->enc_count); + return -1; + } + } + if (!ctx->is_valid_array) { + PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", + ctx->head->field->type->ndim, ndim); + return -1; + } + for (i = 0; i < ctx->head->field->type->ndim; i++) { + arraysize *= ctx->head->field->type->arraysize[i]; + } + ctx->is_valid_array = 0; + ctx->enc_count = 1; + } + group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); + do { + __Pyx_StructField* field = ctx->head->field; + __Pyx_TypeInfo* type = field->type; + if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { + size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); + } else { + size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); + } + if (ctx->enc_packmode == '@') { + size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); + size_t align_mod_offset; + if (align_at == 0) return -1; + align_mod_offset = ctx->fmt_offset % align_at; + if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; + if (ctx->struct_alignment == 0) + ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, + ctx->is_complex); + } + if (type->size != size || type->typegroup != group) { + if (type->typegroup == 'C' && type->fields != NULL) { + size_t parent_offset = ctx->head->parent_offset + field->offset; + ++ctx->head; + ctx->head->field = type->fields; + ctx->head->parent_offset = parent_offset; + continue; + } + if ((type->typegroup == 'H' || group == 'H') && type->size == size) { + } else { + __Pyx_BufFmt_RaiseExpected(ctx); + return -1; + } + } + offset = ctx->head->parent_offset + field->offset; + if (ctx->fmt_offset != offset) { + PyErr_Format(PyExc_ValueError, + "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", + (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); + return -1; + } + ctx->fmt_offset += size; + if (arraysize) + ctx->fmt_offset += (arraysize - 1) * size; + --ctx->enc_count; + while (1) { + if (field == &ctx->root) { + ctx->head = NULL; + if (ctx->enc_count != 0) { + __Pyx_BufFmt_RaiseExpected(ctx); + return -1; + } + break; + } + ctx->head->field = ++field; + if (field->type == NULL) { + --ctx->head; + field = ctx->head->field; + continue; + } else if (field->type->typegroup == 'S') { + size_t parent_offset = ctx->head->parent_offset + field->offset; + if (field->type->fields->type == NULL) continue; + field = field->type->fields; + ++ctx->head; + ctx->head->field = field; + ctx->head->parent_offset = parent_offset; + break; + } else { + break; + } + } + } while (ctx->enc_count); + ctx->enc_type = 0; + ctx->is_complex = 0; + return 0; +} +static PyObject * +__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) +{ + const char *ts = *tsp; + int i = 0, number, ndim; + ++ts; + if (ctx->new_count != 1) { + PyErr_SetString(PyExc_ValueError, + "Cannot handle repeated arrays in format string"); + return NULL; + } + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ndim = ctx->head->field->type->ndim; + while (*ts && *ts != ')') { + switch (*ts) { + case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; + default: break; + } + number = __Pyx_BufFmt_ExpectNumber(&ts); + if (number == -1) return NULL; + if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) + return PyErr_Format(PyExc_ValueError, + "Expected a dimension of size %zu, got %d", + ctx->head->field->type->arraysize[i], number); + if (*ts != ',' && *ts != ')') + return PyErr_Format(PyExc_ValueError, + "Expected a comma in format string, got '%c'", *ts); + if (*ts == ',') ts++; + i++; + } + if (i != ndim) + return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", + ctx->head->field->type->ndim, i); + if (!*ts) { + PyErr_SetString(PyExc_ValueError, + "Unexpected end of format string, expected ')'"); + return NULL; + } + ctx->is_valid_array = 1; + ctx->new_count = 1; + *tsp = ++ts; + return Py_None; +} +static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { + int got_Z = 0; + while (1) { + switch(*ts) { + case 0: + if (ctx->enc_type != 0 && ctx->head == NULL) { + __Pyx_BufFmt_RaiseExpected(ctx); + return NULL; + } + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + if (ctx->head != NULL) { + __Pyx_BufFmt_RaiseExpected(ctx); + return NULL; + } + return ts; + case ' ': + case '\r': + case '\n': + ++ts; + break; + case '<': + if (!__Pyx_Is_Little_Endian()) { + PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); + return NULL; + } + ctx->new_packmode = '='; + ++ts; + break; + case '>': + case '!': + if (__Pyx_Is_Little_Endian()) { + PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); + return NULL; + } + ctx->new_packmode = '='; + ++ts; + break; + case '=': + case '@': + case '^': + ctx->new_packmode = *ts++; + break; + case 'T': + { + const char* ts_after_sub; + size_t i, struct_count = ctx->new_count; + size_t struct_alignment = ctx->struct_alignment; + ctx->new_count = 1; + ++ts; + if (*ts != '{') { + PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); + return NULL; + } + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->enc_type = 0; + ctx->enc_count = 0; + ctx->struct_alignment = 0; + ++ts; + ts_after_sub = ts; + for (i = 0; i != struct_count; ++i) { + ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); + if (!ts_after_sub) return NULL; + } + ts = ts_after_sub; + if (struct_alignment) ctx->struct_alignment = struct_alignment; + } + break; + case '}': + { + size_t alignment = ctx->struct_alignment; + ++ts; + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->enc_type = 0; + if (alignment && ctx->fmt_offset % alignment) { + ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); + } + } + return ts; + case 'x': + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->fmt_offset += ctx->new_count; + ctx->new_count = 1; + ctx->enc_count = 0; + ctx->enc_type = 0; + ctx->enc_packmode = ctx->new_packmode; + ++ts; + break; + case 'Z': + got_Z = 1; + ++ts; + if (*ts != 'f' && *ts != 'd' && *ts != 'g') { + __Pyx_BufFmt_RaiseUnexpectedChar('Z'); + return NULL; + } + CYTHON_FALLTHROUGH; + case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': + case 'l': case 'L': case 'q': case 'Q': + case 'f': case 'd': case 'g': + case 'O': case 'p': + if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) && + (ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) { + ctx->enc_count += ctx->new_count; + ctx->new_count = 1; + got_Z = 0; + ++ts; + break; + } + CYTHON_FALLTHROUGH; + case 's': + if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; + ctx->enc_count = ctx->new_count; + ctx->enc_packmode = ctx->new_packmode; + ctx->enc_type = *ts; + ctx->is_complex = got_Z; + ++ts; + ctx->new_count = 1; + got_Z = 0; + break; + case ':': + ++ts; + while(*ts != ':') ++ts; + ++ts; + break; + case '(': + if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; + break; + default: + { + int number = __Pyx_BufFmt_ExpectNumber(&ts); + if (number == -1) return NULL; + ctx->new_count = (size_t)number; + } + } + } +} + +/* BufferGetAndValidate */ + static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) { + if (unlikely(info->buf == NULL)) return; + if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL; + __Pyx_ReleaseBuffer(info); +} +static void __Pyx_ZeroBuffer(Py_buffer* buf) { + buf->buf = NULL; + buf->obj = NULL; + buf->strides = __Pyx_zeros; + buf->shape = __Pyx_zeros; + buf->suboffsets = __Pyx_minusones; +} +static int __Pyx__GetBufferAndValidate( + Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, + int nd, int cast, __Pyx_BufFmt_StackElem* stack) +{ + buf->buf = NULL; + if (unlikely(__Pyx_GetBuffer(obj, buf, flags) == -1)) { + __Pyx_ZeroBuffer(buf); + return -1; + } + if (unlikely(buf->ndim != nd)) { + PyErr_Format(PyExc_ValueError, + "Buffer has wrong number of dimensions (expected %d, got %d)", + nd, buf->ndim); + goto fail; + } + if (!cast) { + __Pyx_BufFmt_Context ctx; + __Pyx_BufFmt_Init(&ctx, stack, dtype); + if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; + } + if (unlikely((size_t)buf->itemsize != dtype->size)) { + PyErr_Format(PyExc_ValueError, + "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)", + buf->itemsize, (buf->itemsize > 1) ? "s" : "", + dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : ""); + goto fail; + } + if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones; + return 0; +fail:; + __Pyx_SafeReleaseBuffer(buf); + return -1; +} + +/* MemviewSliceInit */ + static int +__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, + int ndim, + __Pyx_memviewslice *memviewslice, + int memview_is_new_reference) +{ + __Pyx_RefNannyDeclarations + int i, retval=-1; + Py_buffer *buf = &memview->view; + __Pyx_RefNannySetupContext("init_memviewslice", 0); + if (unlikely(memviewslice->memview || memviewslice->data)) { + PyErr_SetString(PyExc_ValueError, + "memviewslice is already initialized!"); + goto fail; + } + if (buf->strides) { + for (i = 0; i < ndim; i++) { + memviewslice->strides[i] = buf->strides[i]; + } + } else { + Py_ssize_t stride = buf->itemsize; + for (i = ndim - 1; i >= 0; i--) { + memviewslice->strides[i] = stride; + stride *= buf->shape[i]; + } + } + for (i = 0; i < ndim; i++) { + memviewslice->shape[i] = buf->shape[i]; + if (buf->suboffsets) { + memviewslice->suboffsets[i] = buf->suboffsets[i]; + } else { + memviewslice->suboffsets[i] = -1; + } + } + memviewslice->memview = memview; + memviewslice->data = (char *)buf->buf; + if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { + Py_INCREF(memview); + } + retval = 0; + goto no_fail; +fail: + memviewslice->memview = 0; + memviewslice->data = 0; + retval = -1; +no_fail: + __Pyx_RefNannyFinishContext(); + return retval; +} +#ifndef Py_NO_RETURN +#define Py_NO_RETURN +#endif +static void __pyx_fatalerror(const char *fmt, ...) Py_NO_RETURN { + va_list vargs; + char msg[200]; +#ifdef HAVE_STDARG_PROTOTYPES + va_start(vargs, fmt); +#else + va_start(vargs); +#endif + vsnprintf(msg, 200, fmt, vargs); + va_end(vargs); + Py_FatalError(msg); +} +static CYTHON_INLINE int +__pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count, + PyThread_type_lock lock) +{ + int result; + PyThread_acquire_lock(lock, 1); + result = (*acquisition_count)++; + PyThread_release_lock(lock); + return result; +} +static CYTHON_INLINE int +__pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count, + PyThread_type_lock lock) +{ + int result; + PyThread_acquire_lock(lock, 1); + result = (*acquisition_count)--; + PyThread_release_lock(lock); + return result; +} +static CYTHON_INLINE void +__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) +{ + int first_time; + struct __pyx_memoryview_obj *memview = memslice->memview; + if (unlikely(!memview || (PyObject *) memview == Py_None)) + return; + if (unlikely(__pyx_get_slice_count(memview) < 0)) + __pyx_fatalerror("Acquisition count is %d (line %d)", + __pyx_get_slice_count(memview), lineno); + first_time = __pyx_add_acquisition_count(memview) == 0; + if (unlikely(first_time)) { + if (have_gil) { + Py_INCREF((PyObject *) memview); + } else { + PyGILState_STATE _gilstate = PyGILState_Ensure(); + Py_INCREF((PyObject *) memview); + PyGILState_Release(_gilstate); + } + } +} +static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice, + int have_gil, int lineno) { + int last_time; + struct __pyx_memoryview_obj *memview = memslice->memview; + if (unlikely(!memview || (PyObject *) memview == Py_None)) { + memslice->memview = NULL; + return; + } + if (unlikely(__pyx_get_slice_count(memview) <= 0)) + __pyx_fatalerror("Acquisition count is %d (line %d)", + __pyx_get_slice_count(memview), lineno); + last_time = __pyx_sub_acquisition_count(memview) == 1; + memslice->data = NULL; + if (unlikely(last_time)) { + if (have_gil) { + Py_CLEAR(memslice->memview); + } else { + PyGILState_STATE _gilstate = PyGILState_Ensure(); + Py_CLEAR(memslice->memview); + PyGILState_Release(_gilstate); + } + } else { + memslice->memview = NULL; + } +} + +/* ExtTypeTest */ + static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { + if (unlikely(!type)) { + PyErr_SetString(PyExc_SystemError, "Missing type object"); + return 0; + } + if (likely(__Pyx_TypeCheck(obj, type))) + return 1; + PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", + Py_TYPE(obj)->tp_name, type->tp_name); + return 0; +} + +/* PyErrExceptionMatches */ + #if CYTHON_FAST_THREAD_STATE +static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { + Py_ssize_t i, n; + n = PyTuple_GET_SIZE(tuple); +#if PY_MAJOR_VERSION >= 3 + for (i=0; icurexc_type; + if (exc_type == err) return 1; + if (unlikely(!exc_type)) return 0; + if (unlikely(PyTuple_Check(err))) + return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err); + return __Pyx_PyErr_GivenExceptionMatches(exc_type, err); +} +#endif + +/* BytesEquals */ + static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) { +#if CYTHON_COMPILING_IN_PYPY + return PyObject_RichCompareBool(s1, s2, equals); +#else + if (s1 == s2) { + return (equals == Py_EQ); + } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) { + const char *ps1, *ps2; + Py_ssize_t length = PyBytes_GET_SIZE(s1); + if (length != PyBytes_GET_SIZE(s2)) + return (equals == Py_NE); + ps1 = PyBytes_AS_STRING(s1); + ps2 = PyBytes_AS_STRING(s2); + if (ps1[0] != ps2[0]) { + return (equals == Py_NE); + } else if (length == 1) { + return (equals == Py_EQ); + } else { + int result; +#if CYTHON_USE_UNICODE_INTERNALS + Py_hash_t hash1, hash2; + hash1 = ((PyBytesObject*)s1)->ob_shash; + hash2 = ((PyBytesObject*)s2)->ob_shash; + if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { + return (equals == Py_NE); + } +#endif + result = memcmp(ps1, ps2, (size_t)length); + return (equals == Py_EQ) ? (result == 0) : (result != 0); + } + } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) { + return (equals == Py_NE); + } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) { + return (equals == Py_NE); + } else { + int result; + PyObject* py_result = PyObject_RichCompare(s1, s2, equals); + if (!py_result) + return -1; + result = __Pyx_PyObject_IsTrue(py_result); + Py_DECREF(py_result); + return result; + } +#endif +} + +/* UnicodeEquals */ + static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { +#if CYTHON_COMPILING_IN_PYPY + return PyObject_RichCompareBool(s1, s2, equals); +#else +#if PY_MAJOR_VERSION < 3 + PyObject* owned_ref = NULL; +#endif + int s1_is_unicode, s2_is_unicode; + if (s1 == s2) { + goto return_eq; + } + s1_is_unicode = PyUnicode_CheckExact(s1); + s2_is_unicode = PyUnicode_CheckExact(s2); +#if PY_MAJOR_VERSION < 3 + if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) { + owned_ref = PyUnicode_FromObject(s2); + if (unlikely(!owned_ref)) + return -1; + s2 = owned_ref; + s2_is_unicode = 1; + } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) { + owned_ref = PyUnicode_FromObject(s1); + if (unlikely(!owned_ref)) + return -1; + s1 = owned_ref; + s1_is_unicode = 1; + } else if (((!s2_is_unicode) & (!s1_is_unicode))) { + return __Pyx_PyBytes_Equals(s1, s2, equals); + } +#endif + if (s1_is_unicode & s2_is_unicode) { + Py_ssize_t length; + int kind; + void *data1, *data2; + if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0)) + return -1; + length = __Pyx_PyUnicode_GET_LENGTH(s1); + if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) { + goto return_ne; + } +#if CYTHON_USE_UNICODE_INTERNALS + { + Py_hash_t hash1, hash2; + #if CYTHON_PEP393_ENABLED + hash1 = ((PyASCIIObject*)s1)->hash; + hash2 = ((PyASCIIObject*)s2)->hash; + #else + hash1 = ((PyUnicodeObject*)s1)->hash; + hash2 = ((PyUnicodeObject*)s2)->hash; + #endif + if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { + goto return_ne; + } + } +#endif + kind = __Pyx_PyUnicode_KIND(s1); + if (kind != __Pyx_PyUnicode_KIND(s2)) { + goto return_ne; + } + data1 = __Pyx_PyUnicode_DATA(s1); + data2 = __Pyx_PyUnicode_DATA(s2); + if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) { + goto return_ne; + } else if (length == 1) { + goto return_eq; + } else { + int result = memcmp(data1, data2, (size_t)(length * kind)); + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + return (equals == Py_EQ) ? (result == 0) : (result != 0); + } + } else if ((s1 == Py_None) & s2_is_unicode) { + goto return_ne; + } else if ((s2 == Py_None) & s1_is_unicode) { + goto return_ne; + } else { + int result; + PyObject* py_result = PyObject_RichCompare(s1, s2, equals); + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + if (!py_result) + return -1; + result = __Pyx_PyObject_IsTrue(py_result); + Py_DECREF(py_result); + return result; + } +return_eq: + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + return (equals == Py_EQ); +return_ne: + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + return (equals == Py_NE); +#endif +} + +/* None */ + static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { + Py_ssize_t q = a / b; + Py_ssize_t r = a - q*b; + q -= ((r != 0) & ((r ^ b) < 0)); + return q; +} + +/* GetAttr */ + static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { +#if CYTHON_USE_TYPE_SLOTS +#if PY_MAJOR_VERSION >= 3 + if (likely(PyUnicode_Check(n))) +#else + if (likely(PyString_Check(n))) +#endif + return __Pyx_PyObject_GetAttrStr(o, n); +#endif + return PyObject_GetAttr(o, n); +} + +/* decode_c_string */ + static CYTHON_INLINE PyObject* __Pyx_decode_c_string( + const char* cstring, Py_ssize_t start, Py_ssize_t stop, + const char* encoding, const char* errors, + PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) { + Py_ssize_t length; + if (unlikely((start < 0) | (stop < 0))) { + size_t slen = strlen(cstring); + if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) { + PyErr_SetString(PyExc_OverflowError, + "c-string too long to convert to Python"); + return NULL; + } + length = (Py_ssize_t) slen; + if (start < 0) { + start += length; + if (start < 0) + start = 0; + } + if (stop < 0) + stop += length; + } + if (unlikely(stop <= start)) + return __Pyx_NewRef(__pyx_empty_unicode); + length = stop - start; + cstring += start; + if (decode_func) { + return decode_func(cstring, length, errors); + } else { + return PyUnicode_Decode(cstring, length, encoding, errors); + } +} + +/* GetAttr3 */ + static PyObject *__Pyx_GetAttr3Default(PyObject *d) { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) + return NULL; + __Pyx_PyErr_Clear(); + Py_INCREF(d); + return d; +} +static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) { + PyObject *r = __Pyx_GetAttr(o, n); + return (likely(r)) ? r : __Pyx_GetAttr3Default(d); +} + +/* SwapException */ + #if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = *type; + exc_info->exc_value = *value; + exc_info->exc_traceback = *tb; + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = *type; + tstate->exc_value = *value; + tstate->exc_traceback = *tb; + #endif + *type = tmp_type; + *value = tmp_value; + *tb = tmp_tb; +} +#else +static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb); + PyErr_SetExcInfo(*type, *value, *tb); + *type = tmp_type; + *value = tmp_value; + *tb = tmp_tb; +} +#endif + +/* FastTypeChecks */ + #if CYTHON_COMPILING_IN_CPYTHON +static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { + while (a) { + a = a->tp_base; + if (a == b) + return 1; + } + return b == &PyBaseObject_Type; +} +static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) { + PyObject *mro; + if (a == b) return 1; + mro = a->tp_mro; + if (likely(mro)) { + Py_ssize_t i, n; + n = PyTuple_GET_SIZE(mro); + for (i = 0; i < n; i++) { + if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b) + return 1; + } + return 0; + } + return __Pyx_InBases(a, b); +} +#if PY_MAJOR_VERSION == 2 +static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) { + PyObject *exception, *value, *tb; + int res; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&exception, &value, &tb); + res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0; + if (unlikely(res == -1)) { + PyErr_WriteUnraisable(err); + res = 0; + } + if (!res) { + res = PyObject_IsSubclass(err, exc_type2); + if (unlikely(res == -1)) { + PyErr_WriteUnraisable(err); + res = 0; + } + } + __Pyx_ErrRestore(exception, value, tb); + return res; +} +#else +static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) { + int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0; + if (!res) { + res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2); + } + return res; +} +#endif +static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { + Py_ssize_t i, n; + assert(PyExceptionClass_Check(exc_type)); + n = PyTuple_GET_SIZE(tuple); +#if PY_MAJOR_VERSION >= 3 + for (i=0; i= 3 + "'%.50s' object has no attribute '%U'", + tp->tp_name, attr_name); +#else + "'%.50s' object has no attribute '%.400s'", + tp->tp_name, PyString_AS_STRING(attr_name)); +#endif + return NULL; +} +static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) { + PyObject *descr; + PyTypeObject *tp = Py_TYPE(obj); + if (unlikely(!PyString_Check(attr_name))) { + return PyObject_GenericGetAttr(obj, attr_name); + } + assert(!tp->tp_dictoffset); + descr = _PyType_Lookup(tp, attr_name); + if (unlikely(!descr)) { + return __Pyx_RaiseGenericGetAttributeError(tp, attr_name); + } + Py_INCREF(descr); + #if PY_MAJOR_VERSION < 3 + if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS))) + #endif + { + descrgetfunc f = Py_TYPE(descr)->tp_descr_get; + if (unlikely(f)) { + PyObject *res = f(descr, obj, (PyObject *)tp); + Py_DECREF(descr); + return res; + } + } + return descr; +} +#endif + +/* PyObject_GenericGetAttr */ + #if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 +static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) { + if (unlikely(Py_TYPE(obj)->tp_dictoffset)) { + return PyObject_GenericGetAttr(obj, attr_name); + } + return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name); +} +#endif + +/* SetVTable */ + static int __Pyx_SetVtable(PyObject *dict, void *vtable) { +#if PY_VERSION_HEX >= 0x02070000 + PyObject *ob = PyCapsule_New(vtable, 0, 0); +#else + PyObject *ob = PyCObject_FromVoidPtr(vtable, 0); +#endif + if (!ob) + goto bad; + if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0) + goto bad; + Py_DECREF(ob); + return 0; +bad: + Py_XDECREF(ob); + return -1; +} + +/* PyObjectGetAttrStrNoError */ + static void __Pyx_PyObject_GetAttrStr_ClearAttributeError(void) { + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + if (likely(__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) + __Pyx_PyErr_Clear(); +} +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name) { + PyObject *result; +#if CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_TYPE_SLOTS && PY_VERSION_HEX >= 0x030700B1 + PyTypeObject* tp = Py_TYPE(obj); + if (likely(tp->tp_getattro == PyObject_GenericGetAttr)) { + return _PyObject_GenericGetAttrWithDict(obj, attr_name, NULL, 1); + } +#endif + result = __Pyx_PyObject_GetAttrStr(obj, attr_name); + if (unlikely(!result)) { + __Pyx_PyObject_GetAttrStr_ClearAttributeError(); + } + return result; +} + +/* SetupReduce */ + static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) { + int ret; + PyObject *name_attr; + name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2); + if (likely(name_attr)) { + ret = PyObject_RichCompareBool(name_attr, name, Py_EQ); + } else { + ret = -1; + } + if (unlikely(ret < 0)) { + PyErr_Clear(); + ret = 0; + } + Py_XDECREF(name_attr); + return ret; +} +static int __Pyx_setup_reduce(PyObject* type_obj) { + int ret = 0; + PyObject *object_reduce = NULL; + PyObject *object_reduce_ex = NULL; + PyObject *reduce = NULL; + PyObject *reduce_ex = NULL; + PyObject *reduce_cython = NULL; + PyObject *setstate = NULL; + PyObject *setstate_cython = NULL; +#if CYTHON_USE_PYTYPE_LOOKUP + if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD; +#else + if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD; +#endif +#if CYTHON_USE_PYTYPE_LOOKUP + object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; +#else + object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; +#endif + reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD; + if (reduce_ex == object_reduce_ex) { +#if CYTHON_USE_PYTYPE_LOOKUP + object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD; +#else + object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD; +#endif + reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto __PYX_BAD; + if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) { + reduce_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_reduce_cython); + if (likely(reduce_cython)) { + ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + } else if (reduce == object_reduce || PyErr_Occurred()) { + goto __PYX_BAD; + } + setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate); + if (!setstate) PyErr_Clear(); + if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) { + setstate_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_setstate_cython); + if (likely(setstate_cython)) { + ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; + } else if (!setstate || PyErr_Occurred()) { + goto __PYX_BAD; + } + } + PyType_Modified((PyTypeObject*)type_obj); + } + } + goto __PYX_GOOD; +__PYX_BAD: + if (!PyErr_Occurred()) + PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name); + ret = -1; +__PYX_GOOD: +#if !CYTHON_USE_PYTYPE_LOOKUP + Py_XDECREF(object_reduce); + Py_XDECREF(object_reduce_ex); +#endif + Py_XDECREF(reduce); + Py_XDECREF(reduce_ex); + Py_XDECREF(reduce_cython); + Py_XDECREF(setstate); + Py_XDECREF(setstate_cython); + return ret; +} + +/* TypeImport */ + #ifndef __PYX_HAVE_RT_ImportType +#define __PYX_HAVE_RT_ImportType +static PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name, + size_t size, enum __Pyx_ImportType_CheckSize check_size) +{ + PyObject *result = 0; + char warning[200]; + Py_ssize_t basicsize; +#ifdef Py_LIMITED_API + PyObject *py_basicsize; +#endif + result = PyObject_GetAttrString(module, class_name); + if (!result) + goto bad; + if (!PyType_Check(result)) { + PyErr_Format(PyExc_TypeError, + "%.200s.%.200s is not a type object", + module_name, class_name); + goto bad; + } +#ifndef Py_LIMITED_API + basicsize = ((PyTypeObject *)result)->tp_basicsize; +#else + py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); + if (!py_basicsize) + goto bad; + basicsize = PyLong_AsSsize_t(py_basicsize); + Py_DECREF(py_basicsize); + py_basicsize = 0; + if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) + goto bad; +#endif + if ((size_t)basicsize < size) { + PyErr_Format(PyExc_ValueError, + "%.200s.%.200s size changed, may indicate binary incompatibility. " + "Expected %zd from C header, got %zd from PyObject", + module_name, class_name, size, basicsize); + goto bad; + } + if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) { + PyErr_Format(PyExc_ValueError, + "%.200s.%.200s size changed, may indicate binary incompatibility. " + "Expected %zd from C header, got %zd from PyObject", + module_name, class_name, size, basicsize); + goto bad; + } + else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) { + PyOS_snprintf(warning, sizeof(warning), + "%s.%s size changed, may indicate binary incompatibility. " + "Expected %zd from C header, got %zd from PyObject", + module_name, class_name, size, basicsize); + if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; + } + return (PyTypeObject *)result; +bad: + Py_XDECREF(result); + return NULL; +} +#endif + +/* GetVTable */ + static void* __Pyx_GetVtable(PyObject *dict) { + void* ptr; + PyObject *ob = PyObject_GetItem(dict, __pyx_n_s_pyx_vtable); + if (!ob) + goto bad; +#if PY_VERSION_HEX >= 0x02070000 + ptr = PyCapsule_GetPointer(ob, 0); +#else + ptr = PyCObject_AsVoidPtr(ob); +#endif + if (!ptr && !PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "invalid vtable found for imported type"); + Py_DECREF(ob); + return ptr; +bad: + Py_XDECREF(ob); + return NULL; +} + +/* CalculateMetaclass */ + static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases) { + Py_ssize_t i, nbases = PyTuple_GET_SIZE(bases); + for (i=0; i < nbases; i++) { + PyTypeObject *tmptype; + PyObject *tmp = PyTuple_GET_ITEM(bases, i); + tmptype = Py_TYPE(tmp); +#if PY_MAJOR_VERSION < 3 + if (tmptype == &PyClass_Type) + continue; +#endif + if (!metaclass) { + metaclass = tmptype; + continue; + } + if (PyType_IsSubtype(metaclass, tmptype)) + continue; + if (PyType_IsSubtype(tmptype, metaclass)) { + metaclass = tmptype; + continue; + } + PyErr_SetString(PyExc_TypeError, + "metaclass conflict: " + "the metaclass of a derived class " + "must be a (non-strict) subclass " + "of the metaclasses of all its bases"); + return NULL; + } + if (!metaclass) { +#if PY_MAJOR_VERSION < 3 + metaclass = &PyClass_Type; +#else + metaclass = &PyType_Type; +#endif + } + Py_INCREF((PyObject*) metaclass); + return (PyObject*) metaclass; +} + +/* FetchCommonType */ + static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) { + PyObject* fake_module; + PyTypeObject* cached_type = NULL; + fake_module = PyImport_AddModule((char*) "_cython_" CYTHON_ABI); + if (!fake_module) return NULL; + Py_INCREF(fake_module); + cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name); + if (cached_type) { + if (!PyType_Check((PyObject*)cached_type)) { + PyErr_Format(PyExc_TypeError, + "Shared Cython type %.200s is not a type object", + type->tp_name); + goto bad; + } + if (cached_type->tp_basicsize != type->tp_basicsize) { + PyErr_Format(PyExc_TypeError, + "Shared Cython type %.200s has the wrong size, try recompiling", + type->tp_name); + goto bad; + } + } else { + if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; + PyErr_Clear(); + if (PyType_Ready(type) < 0) goto bad; + if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0) + goto bad; + Py_INCREF(type); + cached_type = type; + } +done: + Py_DECREF(fake_module); + return cached_type; +bad: + Py_XDECREF(cached_type); + cached_type = NULL; + goto done; +} + +/* CythonFunctionShared */ + #include +static PyObject * +__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *closure) +{ + if (unlikely(op->func_doc == NULL)) { + if (op->func.m_ml->ml_doc) { +#if PY_MAJOR_VERSION >= 3 + op->func_doc = PyUnicode_FromString(op->func.m_ml->ml_doc); +#else + op->func_doc = PyString_FromString(op->func.m_ml->ml_doc); +#endif + if (unlikely(op->func_doc == NULL)) + return NULL; + } else { + Py_INCREF(Py_None); + return Py_None; + } + } + Py_INCREF(op->func_doc); + return op->func_doc; +} +static int +__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context) +{ + PyObject *tmp = op->func_doc; + if (value == NULL) { + value = Py_None; + } + Py_INCREF(value); + op->func_doc = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) +{ + if (unlikely(op->func_name == NULL)) { +#if PY_MAJOR_VERSION >= 3 + op->func_name = PyUnicode_InternFromString(op->func.m_ml->ml_name); +#else + op->func_name = PyString_InternFromString(op->func.m_ml->ml_name); +#endif + if (unlikely(op->func_name == NULL)) + return NULL; + } + Py_INCREF(op->func_name); + return op->func_name; +} +static int +__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context) +{ + PyObject *tmp; +#if PY_MAJOR_VERSION >= 3 + if (unlikely(value == NULL || !PyUnicode_Check(value))) +#else + if (unlikely(value == NULL || !PyString_Check(value))) +#endif + { + PyErr_SetString(PyExc_TypeError, + "__name__ must be set to a string object"); + return -1; + } + tmp = op->func_name; + Py_INCREF(value); + op->func_name = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) +{ + Py_INCREF(op->func_qualname); + return op->func_qualname; +} +static int +__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context) +{ + PyObject *tmp; +#if PY_MAJOR_VERSION >= 3 + if (unlikely(value == NULL || !PyUnicode_Check(value))) +#else + if (unlikely(value == NULL || !PyString_Check(value))) +#endif + { + PyErr_SetString(PyExc_TypeError, + "__qualname__ must be set to a string object"); + return -1; + } + tmp = op->func_qualname; + Py_INCREF(value); + op->func_qualname = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_self(__pyx_CyFunctionObject *m, CYTHON_UNUSED void *closure) +{ + PyObject *self; + self = m->func_closure; + if (self == NULL) + self = Py_None; + Py_INCREF(self); + return self; +} +static PyObject * +__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) +{ + if (unlikely(op->func_dict == NULL)) { + op->func_dict = PyDict_New(); + if (unlikely(op->func_dict == NULL)) + return NULL; + } + Py_INCREF(op->func_dict); + return op->func_dict; +} +static int +__Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context) +{ + PyObject *tmp; + if (unlikely(value == NULL)) { + PyErr_SetString(PyExc_TypeError, + "function's dictionary may not be deleted"); + return -1; + } + if (unlikely(!PyDict_Check(value))) { + PyErr_SetString(PyExc_TypeError, + "setting function's dictionary to a non-dict"); + return -1; + } + tmp = op->func_dict; + Py_INCREF(value); + op->func_dict = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) +{ + Py_INCREF(op->func_globals); + return op->func_globals; +} +static PyObject * +__Pyx_CyFunction_get_closure(CYTHON_UNUSED __pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) +{ + Py_INCREF(Py_None); + return Py_None; +} +static PyObject * +__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) +{ + PyObject* result = (op->func_code) ? op->func_code : Py_None; + Py_INCREF(result); + return result; +} +static int +__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) { + int result = 0; + PyObject *res = op->defaults_getter((PyObject *) op); + if (unlikely(!res)) + return -1; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + op->defaults_tuple = PyTuple_GET_ITEM(res, 0); + Py_INCREF(op->defaults_tuple); + op->defaults_kwdict = PyTuple_GET_ITEM(res, 1); + Py_INCREF(op->defaults_kwdict); + #else + op->defaults_tuple = PySequence_ITEM(res, 0); + if (unlikely(!op->defaults_tuple)) result = -1; + else { + op->defaults_kwdict = PySequence_ITEM(res, 1); + if (unlikely(!op->defaults_kwdict)) result = -1; + } + #endif + Py_DECREF(res); + return result; +} +static int +__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) { + PyObject* tmp; + if (!value) { + value = Py_None; + } else if (value != Py_None && !PyTuple_Check(value)) { + PyErr_SetString(PyExc_TypeError, + "__defaults__ must be set to a tuple object"); + return -1; + } + Py_INCREF(value); + tmp = op->defaults_tuple; + op->defaults_tuple = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) { + PyObject* result = op->defaults_tuple; + if (unlikely(!result)) { + if (op->defaults_getter) { + if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; + result = op->defaults_tuple; + } else { + result = Py_None; + } + } + Py_INCREF(result); + return result; +} +static int +__Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) { + PyObject* tmp; + if (!value) { + value = Py_None; + } else if (value != Py_None && !PyDict_Check(value)) { + PyErr_SetString(PyExc_TypeError, + "__kwdefaults__ must be set to a dict object"); + return -1; + } + Py_INCREF(value); + tmp = op->defaults_kwdict; + op->defaults_kwdict = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) { + PyObject* result = op->defaults_kwdict; + if (unlikely(!result)) { + if (op->defaults_getter) { + if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; + result = op->defaults_kwdict; + } else { + result = Py_None; + } + } + Py_INCREF(result); + return result; +} +static int +__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) { + PyObject* tmp; + if (!value || value == Py_None) { + value = NULL; + } else if (!PyDict_Check(value)) { + PyErr_SetString(PyExc_TypeError, + "__annotations__ must be set to a dict object"); + return -1; + } + Py_XINCREF(value); + tmp = op->func_annotations; + op->func_annotations = value; + Py_XDECREF(tmp); + return 0; +} +static PyObject * +__Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) { + PyObject* result = op->func_annotations; + if (unlikely(!result)) { + result = PyDict_New(); + if (unlikely(!result)) return NULL; + op->func_annotations = result; + } + Py_INCREF(result); + return result; +} +static PyGetSetDef __pyx_CyFunction_getsets[] = { + {(char *) "func_doc", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, + {(char *) "__doc__", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, + {(char *) "func_name", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, + {(char *) "__name__", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, + {(char *) "__qualname__", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0}, + {(char *) "__self__", (getter)__Pyx_CyFunction_get_self, 0, 0, 0}, + {(char *) "func_dict", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, + {(char *) "__dict__", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, + {(char *) "func_globals", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, + {(char *) "__globals__", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, + {(char *) "func_closure", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, + {(char *) "__closure__", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, + {(char *) "func_code", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, + {(char *) "__code__", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, + {(char *) "func_defaults", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, + {(char *) "__defaults__", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, + {(char *) "__kwdefaults__", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0}, + {(char *) "__annotations__", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0}, + {0, 0, 0, 0, 0} +}; +static PyMemberDef __pyx_CyFunction_members[] = { + {(char *) "__module__", T_OBJECT, offsetof(PyCFunctionObject, m_module), PY_WRITE_RESTRICTED, 0}, + {0, 0, 0, 0, 0} +}; +static PyObject * +__Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, CYTHON_UNUSED PyObject *args) +{ +#if PY_MAJOR_VERSION >= 3 + return PyUnicode_FromString(m->func.m_ml->ml_name); +#else + return PyString_FromString(m->func.m_ml->ml_name); +#endif +} +static PyMethodDef __pyx_CyFunction_methods[] = { + {"__reduce__", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0}, + {0, 0, 0, 0} +}; +#if PY_VERSION_HEX < 0x030500A0 +#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist) +#else +#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func.m_weakreflist) +#endif +static PyObject *__Pyx_CyFunction_Init(__pyx_CyFunctionObject *op, PyMethodDef *ml, int flags, PyObject* qualname, + PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { + if (unlikely(op == NULL)) + return NULL; + op->flags = flags; + __Pyx_CyFunction_weakreflist(op) = NULL; + op->func.m_ml = ml; + op->func.m_self = (PyObject *) op; + Py_XINCREF(closure); + op->func_closure = closure; + Py_XINCREF(module); + op->func.m_module = module; + op->func_dict = NULL; + op->func_name = NULL; + Py_INCREF(qualname); + op->func_qualname = qualname; + op->func_doc = NULL; + op->func_classobj = NULL; + op->func_globals = globals; + Py_INCREF(op->func_globals); + Py_XINCREF(code); + op->func_code = code; + op->defaults_pyobjects = 0; + op->defaults_size = 0; + op->defaults = NULL; + op->defaults_tuple = NULL; + op->defaults_kwdict = NULL; + op->defaults_getter = NULL; + op->func_annotations = NULL; + return (PyObject *) op; +} +static int +__Pyx_CyFunction_clear(__pyx_CyFunctionObject *m) +{ + Py_CLEAR(m->func_closure); + Py_CLEAR(m->func.m_module); + Py_CLEAR(m->func_dict); + Py_CLEAR(m->func_name); + Py_CLEAR(m->func_qualname); + Py_CLEAR(m->func_doc); + Py_CLEAR(m->func_globals); + Py_CLEAR(m->func_code); + Py_CLEAR(m->func_classobj); + Py_CLEAR(m->defaults_tuple); + Py_CLEAR(m->defaults_kwdict); + Py_CLEAR(m->func_annotations); + if (m->defaults) { + PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); + int i; + for (i = 0; i < m->defaults_pyobjects; i++) + Py_XDECREF(pydefaults[i]); + PyObject_Free(m->defaults); + m->defaults = NULL; + } + return 0; +} +static void __Pyx__CyFunction_dealloc(__pyx_CyFunctionObject *m) +{ + if (__Pyx_CyFunction_weakreflist(m) != NULL) + PyObject_ClearWeakRefs((PyObject *) m); + __Pyx_CyFunction_clear(m); + PyObject_GC_Del(m); +} +static void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m) +{ + PyObject_GC_UnTrack(m); + __Pyx__CyFunction_dealloc(m); +} +static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg) +{ + Py_VISIT(m->func_closure); + Py_VISIT(m->func.m_module); + Py_VISIT(m->func_dict); + Py_VISIT(m->func_name); + Py_VISIT(m->func_qualname); + Py_VISIT(m->func_doc); + Py_VISIT(m->func_globals); + Py_VISIT(m->func_code); + Py_VISIT(m->func_classobj); + Py_VISIT(m->defaults_tuple); + Py_VISIT(m->defaults_kwdict); + if (m->defaults) { + PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); + int i; + for (i = 0; i < m->defaults_pyobjects; i++) + Py_VISIT(pydefaults[i]); + } + return 0; +} +static PyObject *__Pyx_CyFunction_descr_get(PyObject *func, PyObject *obj, PyObject *type) +{ +#if PY_MAJOR_VERSION < 3 + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + if (m->flags & __Pyx_CYFUNCTION_STATICMETHOD) { + Py_INCREF(func); + return func; + } + if (m->flags & __Pyx_CYFUNCTION_CLASSMETHOD) { + if (type == NULL) + type = (PyObject *)(Py_TYPE(obj)); + return __Pyx_PyMethod_New(func, type, (PyObject *)(Py_TYPE(type))); + } + if (obj == Py_None) + obj = NULL; +#endif + return __Pyx_PyMethod_New(func, obj, type); +} +static PyObject* +__Pyx_CyFunction_repr(__pyx_CyFunctionObject *op) +{ +#if PY_MAJOR_VERSION >= 3 + return PyUnicode_FromFormat("", + op->func_qualname, (void *)op); +#else + return PyString_FromFormat("", + PyString_AsString(op->func_qualname), (void *)op); +#endif +} +static PyObject * __Pyx_CyFunction_CallMethod(PyObject *func, PyObject *self, PyObject *arg, PyObject *kw) { + PyCFunctionObject* f = (PyCFunctionObject*)func; + PyCFunction meth = f->m_ml->ml_meth; + Py_ssize_t size; + switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) { + case METH_VARARGS: + if (likely(kw == NULL || PyDict_Size(kw) == 0)) + return (*meth)(self, arg); + break; + case METH_VARARGS | METH_KEYWORDS: + return (*(PyCFunctionWithKeywords)(void*)meth)(self, arg, kw); + case METH_NOARGS: + if (likely(kw == NULL || PyDict_Size(kw) == 0)) { + size = PyTuple_GET_SIZE(arg); + if (likely(size == 0)) + return (*meth)(self, NULL); + PyErr_Format(PyExc_TypeError, + "%.200s() takes no arguments (%" CYTHON_FORMAT_SSIZE_T "d given)", + f->m_ml->ml_name, size); + return NULL; + } + break; + case METH_O: + if (likely(kw == NULL || PyDict_Size(kw) == 0)) { + size = PyTuple_GET_SIZE(arg); + if (likely(size == 1)) { + PyObject *result, *arg0; + #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + arg0 = PyTuple_GET_ITEM(arg, 0); + #else + arg0 = PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL; + #endif + result = (*meth)(self, arg0); + #if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) + Py_DECREF(arg0); + #endif + return result; + } + PyErr_Format(PyExc_TypeError, + "%.200s() takes exactly one argument (%" CYTHON_FORMAT_SSIZE_T "d given)", + f->m_ml->ml_name, size); + return NULL; + } + break; + default: + PyErr_SetString(PyExc_SystemError, "Bad call flags in " + "__Pyx_CyFunction_Call. METH_OLDARGS is no " + "longer supported!"); + return NULL; + } + PyErr_Format(PyExc_TypeError, "%.200s() takes no keyword arguments", + f->m_ml->ml_name); + return NULL; +} +static CYTHON_INLINE PyObject *__Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) { + return __Pyx_CyFunction_CallMethod(func, ((PyCFunctionObject*)func)->m_self, arg, kw); +} +static PyObject *__Pyx_CyFunction_CallAsMethod(PyObject *func, PyObject *args, PyObject *kw) { + PyObject *result; + __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func; + if ((cyfunc->flags & __Pyx_CYFUNCTION_CCLASS) && !(cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD)) { + Py_ssize_t argc; + PyObject *new_args; + PyObject *self; + argc = PyTuple_GET_SIZE(args); + new_args = PyTuple_GetSlice(args, 1, argc); + if (unlikely(!new_args)) + return NULL; + self = PyTuple_GetItem(args, 0); + if (unlikely(!self)) { + Py_DECREF(new_args); + return NULL; + } + result = __Pyx_CyFunction_CallMethod(func, self, new_args, kw); + Py_DECREF(new_args); + } else { + result = __Pyx_CyFunction_Call(func, args, kw); + } + return result; +} +static PyTypeObject __pyx_CyFunctionType_type = { + PyVarObject_HEAD_INIT(0, 0) + "cython_function_or_method", + sizeof(__pyx_CyFunctionObject), + 0, + (destructor) __Pyx_CyFunction_dealloc, + 0, + 0, + 0, +#if PY_MAJOR_VERSION < 3 + 0, +#else + 0, +#endif + (reprfunc) __Pyx_CyFunction_repr, + 0, + 0, + 0, + 0, + __Pyx_CyFunction_CallAsMethod, + 0, + 0, + 0, + 0, + Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC, + 0, + (traverseproc) __Pyx_CyFunction_traverse, + (inquiry) __Pyx_CyFunction_clear, + 0, +#if PY_VERSION_HEX < 0x030500A0 + offsetof(__pyx_CyFunctionObject, func_weakreflist), +#else + offsetof(PyCFunctionObject, m_weakreflist), +#endif + 0, + 0, + __pyx_CyFunction_methods, + __pyx_CyFunction_members, + __pyx_CyFunction_getsets, + 0, + 0, + __Pyx_CyFunction_descr_get, + 0, + offsetof(__pyx_CyFunctionObject, func_dict), + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, +#if PY_VERSION_HEX >= 0x030400a1 + 0, +#endif +#if PY_VERSION_HEX >= 0x030800b1 + 0, +#endif +#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, +#endif +}; +static int __pyx_CyFunction_init(void) { + __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type); + if (unlikely(__pyx_CyFunctionType == NULL)) { + return -1; + } + return 0; +} +static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + m->defaults = PyObject_Malloc(size); + if (unlikely(!m->defaults)) + return PyErr_NoMemory(); + memset(m->defaults, 0, size); + m->defaults_pyobjects = pyobjects; + m->defaults_size = size; + return m->defaults; +} +static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + m->defaults_tuple = tuple; + Py_INCREF(tuple); +} +static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + m->defaults_kwdict = dict; + Py_INCREF(dict); +} +static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; + m->func_annotations = dict; + Py_INCREF(dict); +} + +/* CythonFunction */ + static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, int flags, PyObject* qualname, + PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { + PyObject *op = __Pyx_CyFunction_Init( + PyObject_GC_New(__pyx_CyFunctionObject, __pyx_CyFunctionType), + ml, flags, qualname, closure, module, globals, code + ); + if (likely(op)) { + PyObject_GC_Track(op); + } + return op; +} + +/* FusedFunction */ + static PyObject * +__pyx_FusedFunction_New(PyMethodDef *ml, int flags, + PyObject *qualname, PyObject *closure, + PyObject *module, PyObject *globals, + PyObject *code) +{ + PyObject *op = __Pyx_CyFunction_Init( + PyObject_GC_New(__pyx_CyFunctionObject, __pyx_FusedFunctionType), + ml, flags, qualname, closure, module, globals, code + ); + if (likely(op)) { + __pyx_FusedFunctionObject *fusedfunc = (__pyx_FusedFunctionObject *) op; + fusedfunc->__signatures__ = NULL; + fusedfunc->type = NULL; + fusedfunc->self = NULL; + PyObject_GC_Track(op); + } + return op; +} +static void +__pyx_FusedFunction_dealloc(__pyx_FusedFunctionObject *self) +{ + PyObject_GC_UnTrack(self); + Py_CLEAR(self->self); + Py_CLEAR(self->type); + Py_CLEAR(self->__signatures__); + __Pyx__CyFunction_dealloc((__pyx_CyFunctionObject *) self); +} +static int +__pyx_FusedFunction_traverse(__pyx_FusedFunctionObject *self, + visitproc visit, + void *arg) +{ + Py_VISIT(self->self); + Py_VISIT(self->type); + Py_VISIT(self->__signatures__); + return __Pyx_CyFunction_traverse((__pyx_CyFunctionObject *) self, visit, arg); +} +static int +__pyx_FusedFunction_clear(__pyx_FusedFunctionObject *self) +{ + Py_CLEAR(self->self); + Py_CLEAR(self->type); + Py_CLEAR(self->__signatures__); + return __Pyx_CyFunction_clear((__pyx_CyFunctionObject *) self); +} +static PyObject * +__pyx_FusedFunction_descr_get(PyObject *self, PyObject *obj, PyObject *type) +{ + __pyx_FusedFunctionObject *func, *meth; + func = (__pyx_FusedFunctionObject *) self; + if (func->self || func->func.flags & __Pyx_CYFUNCTION_STATICMETHOD) { + Py_INCREF(self); + return self; + } + if (obj == Py_None) + obj = NULL; + meth = (__pyx_FusedFunctionObject *) __pyx_FusedFunction_New( + ((PyCFunctionObject *) func)->m_ml, + ((__pyx_CyFunctionObject *) func)->flags, + ((__pyx_CyFunctionObject *) func)->func_qualname, + ((__pyx_CyFunctionObject *) func)->func_closure, + ((PyCFunctionObject *) func)->m_module, + ((__pyx_CyFunctionObject *) func)->func_globals, + ((__pyx_CyFunctionObject *) func)->func_code); + if (!meth) + return NULL; + if (func->func.defaults) { + PyObject **pydefaults; + int i; + if (!__Pyx_CyFunction_InitDefaults((PyObject*)meth, + func->func.defaults_size, + func->func.defaults_pyobjects)) { + Py_XDECREF((PyObject*)meth); + return NULL; + } + memcpy(meth->func.defaults, func->func.defaults, func->func.defaults_size); + pydefaults = __Pyx_CyFunction_Defaults(PyObject *, meth); + for (i = 0; i < meth->func.defaults_pyobjects; i++) + Py_XINCREF(pydefaults[i]); + } + Py_XINCREF(func->func.func_classobj); + meth->func.func_classobj = func->func.func_classobj; + Py_XINCREF(func->__signatures__); + meth->__signatures__ = func->__signatures__; + Py_XINCREF(type); + meth->type = type; + Py_XINCREF(func->func.defaults_tuple); + meth->func.defaults_tuple = func->func.defaults_tuple; + if (func->func.flags & __Pyx_CYFUNCTION_CLASSMETHOD) + obj = type; + Py_XINCREF(obj); + meth->self = obj; + return (PyObject *) meth; +} +static PyObject * +_obj_to_str(PyObject *obj) +{ + if (PyType_Check(obj)) + return PyObject_GetAttr(obj, __pyx_n_s_name_2); + else + return PyObject_Str(obj); +} +static PyObject * +__pyx_FusedFunction_getitem(__pyx_FusedFunctionObject *self, PyObject *idx) +{ + PyObject *signature = NULL; + PyObject *unbound_result_func; + PyObject *result_func = NULL; + if (self->__signatures__ == NULL) { + PyErr_SetString(PyExc_TypeError, "Function is not fused"); + return NULL; + } + if (PyTuple_Check(idx)) { + PyObject *list = PyList_New(0); + Py_ssize_t n = PyTuple_GET_SIZE(idx); + PyObject *sep = NULL; + int i; + if (unlikely(!list)) + return NULL; + for (i = 0; i < n; i++) { + int ret; + PyObject *string; +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + PyObject *item = PyTuple_GET_ITEM(idx, i); +#else + PyObject *item = PySequence_ITEM(idx, i); if (unlikely(!item)) goto __pyx_err; +#endif + string = _obj_to_str(item); +#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) + Py_DECREF(item); +#endif + if (unlikely(!string)) goto __pyx_err; + ret = PyList_Append(list, string); + Py_DECREF(string); + if (unlikely(ret < 0)) goto __pyx_err; + } + sep = PyUnicode_FromString("|"); + if (likely(sep)) + signature = PyUnicode_Join(sep, list); +__pyx_err: +; + Py_DECREF(list); + Py_XDECREF(sep); + } else { + signature = _obj_to_str(idx); + } + if (!signature) + return NULL; + unbound_result_func = PyObject_GetItem(self->__signatures__, signature); + if (unbound_result_func) { + if (self->self || self->type) { + __pyx_FusedFunctionObject *unbound = (__pyx_FusedFunctionObject *) unbound_result_func; + Py_CLEAR(unbound->func.func_classobj); + Py_XINCREF(self->func.func_classobj); + unbound->func.func_classobj = self->func.func_classobj; + result_func = __pyx_FusedFunction_descr_get(unbound_result_func, + self->self, self->type); + } else { + result_func = unbound_result_func; + Py_INCREF(result_func); + } + } + Py_DECREF(signature); + Py_XDECREF(unbound_result_func); + return result_func; +} +static PyObject * +__pyx_FusedFunction_callfunction(PyObject *func, PyObject *args, PyObject *kw) +{ + __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func; + int static_specialized = (cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD && + !((__pyx_FusedFunctionObject *) func)->__signatures__); + if (cyfunc->flags & __Pyx_CYFUNCTION_CCLASS && !static_specialized) { + return __Pyx_CyFunction_CallAsMethod(func, args, kw); + } else { + return __Pyx_CyFunction_Call(func, args, kw); + } +} +static PyObject * +__pyx_FusedFunction_call(PyObject *func, PyObject *args, PyObject *kw) +{ + __pyx_FusedFunctionObject *binding_func = (__pyx_FusedFunctionObject *) func; + Py_ssize_t argc = PyTuple_GET_SIZE(args); + PyObject *new_args = NULL; + __pyx_FusedFunctionObject *new_func = NULL; + PyObject *result = NULL; + PyObject *self = NULL; + int is_staticmethod = binding_func->func.flags & __Pyx_CYFUNCTION_STATICMETHOD; + int is_classmethod = binding_func->func.flags & __Pyx_CYFUNCTION_CLASSMETHOD; + if (binding_func->self) { + Py_ssize_t i; + new_args = PyTuple_New(argc + 1); + if (!new_args) + return NULL; + self = binding_func->self; +#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) + Py_INCREF(self); +#endif + Py_INCREF(self); + PyTuple_SET_ITEM(new_args, 0, self); + for (i = 0; i < argc; i++) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + PyObject *item = PyTuple_GET_ITEM(args, i); + Py_INCREF(item); +#else + PyObject *item = PySequence_ITEM(args, i); if (unlikely(!item)) goto bad; +#endif + PyTuple_SET_ITEM(new_args, i + 1, item); + } + args = new_args; + } else if (binding_func->type) { + if (argc < 1) { + PyErr_SetString(PyExc_TypeError, "Need at least one argument, 0 given."); + return NULL; + } +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + self = PyTuple_GET_ITEM(args, 0); +#else + self = PySequence_ITEM(args, 0); if (unlikely(!self)) return NULL; +#endif + } + if (self && !is_classmethod && !is_staticmethod) { + int is_instance = PyObject_IsInstance(self, binding_func->type); + if (unlikely(!is_instance)) { + PyErr_Format(PyExc_TypeError, + "First argument should be of type %.200s, got %.200s.", + ((PyTypeObject *) binding_func->type)->tp_name, + self->ob_type->tp_name); + goto bad; + } else if (unlikely(is_instance == -1)) { + goto bad; + } + } +#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) + Py_XDECREF(self); + self = NULL; +#endif + if (binding_func->__signatures__) { + PyObject *tup; + if (is_staticmethod && binding_func->func.flags & __Pyx_CYFUNCTION_CCLASS) { + tup = PyTuple_Pack(3, args, + kw == NULL ? Py_None : kw, + binding_func->func.defaults_tuple); + if (unlikely(!tup)) goto bad; + new_func = (__pyx_FusedFunctionObject *) __Pyx_CyFunction_CallMethod( + func, binding_func->__signatures__, tup, NULL); + } else { + tup = PyTuple_Pack(4, binding_func->__signatures__, args, + kw == NULL ? Py_None : kw, + binding_func->func.defaults_tuple); + if (unlikely(!tup)) goto bad; + new_func = (__pyx_FusedFunctionObject *) __pyx_FusedFunction_callfunction(func, tup, NULL); + } + Py_DECREF(tup); + if (unlikely(!new_func)) + goto bad; + Py_XINCREF(binding_func->func.func_classobj); + Py_CLEAR(new_func->func.func_classobj); + new_func->func.func_classobj = binding_func->func.func_classobj; + func = (PyObject *) new_func; + } + result = __pyx_FusedFunction_callfunction(func, args, kw); +bad: +#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) + Py_XDECREF(self); +#endif + Py_XDECREF(new_args); + Py_XDECREF((PyObject *) new_func); + return result; +} +static PyMemberDef __pyx_FusedFunction_members[] = { + {(char *) "__signatures__", + T_OBJECT, + offsetof(__pyx_FusedFunctionObject, __signatures__), + READONLY, + 0}, + {0, 0, 0, 0, 0}, +}; +static PyMappingMethods __pyx_FusedFunction_mapping_methods = { + 0, + (binaryfunc) __pyx_FusedFunction_getitem, + 0, +}; +static PyTypeObject __pyx_FusedFunctionType_type = { + PyVarObject_HEAD_INIT(0, 0) + "fused_cython_function", + sizeof(__pyx_FusedFunctionObject), + 0, + (destructor) __pyx_FusedFunction_dealloc, + 0, + 0, + 0, +#if PY_MAJOR_VERSION < 3 + 0, +#else + 0, +#endif + 0, + 0, + 0, + &__pyx_FusedFunction_mapping_methods, + 0, + (ternaryfunc) __pyx_FusedFunction_call, + 0, + 0, + 0, + 0, + Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_BASETYPE, + 0, + (traverseproc) __pyx_FusedFunction_traverse, + (inquiry) __pyx_FusedFunction_clear, + 0, + 0, + 0, + 0, + 0, + __pyx_FusedFunction_members, + __pyx_CyFunction_getsets, + &__pyx_CyFunctionType_type, + 0, + __pyx_FusedFunction_descr_get, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, +#if PY_VERSION_HEX >= 0x030400a1 + 0, +#endif +#if PY_VERSION_HEX >= 0x030800b1 + 0, +#endif +#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000 + 0, +#endif +}; +static int __pyx_FusedFunction_init(void) { + __pyx_FusedFunctionType_type.tp_base = __pyx_CyFunctionType; + __pyx_FusedFunctionType = __Pyx_FetchCommonType(&__pyx_FusedFunctionType_type); + if (__pyx_FusedFunctionType == NULL) { + return -1; + } + return 0; +} + +/* Py3ClassCreate */ + static PyObject *__Pyx_Py3MetaclassPrepare(PyObject *metaclass, PyObject *bases, PyObject *name, + PyObject *qualname, PyObject *mkw, PyObject *modname, PyObject *doc) { + PyObject *ns; + if (metaclass) { + PyObject *prep = __Pyx_PyObject_GetAttrStr(metaclass, __pyx_n_s_prepare); + if (prep) { + PyObject *pargs = PyTuple_Pack(2, name, bases); + if (unlikely(!pargs)) { + Py_DECREF(prep); + return NULL; + } + ns = PyObject_Call(prep, pargs, mkw); + Py_DECREF(prep); + Py_DECREF(pargs); + } else { + if (unlikely(!PyErr_ExceptionMatches(PyExc_AttributeError))) + return NULL; + PyErr_Clear(); + ns = PyDict_New(); + } + } else { + ns = PyDict_New(); + } + if (unlikely(!ns)) + return NULL; + if (unlikely(PyObject_SetItem(ns, __pyx_n_s_module, modname) < 0)) goto bad; + if (unlikely(PyObject_SetItem(ns, __pyx_n_s_qualname, qualname) < 0)) goto bad; + if (unlikely(doc && PyObject_SetItem(ns, __pyx_n_s_doc, doc) < 0)) goto bad; + return ns; +bad: + Py_DECREF(ns); + return NULL; +} +static PyObject *__Pyx_Py3ClassCreate(PyObject *metaclass, PyObject *name, PyObject *bases, + PyObject *dict, PyObject *mkw, + int calculate_metaclass, int allow_py2_metaclass) { + PyObject *result, *margs; + PyObject *owned_metaclass = NULL; + if (allow_py2_metaclass) { + owned_metaclass = PyObject_GetItem(dict, __pyx_n_s_metaclass); + if (owned_metaclass) { + metaclass = owned_metaclass; + } else if (likely(PyErr_ExceptionMatches(PyExc_KeyError))) { + PyErr_Clear(); + } else { + return NULL; + } + } + if (calculate_metaclass && (!metaclass || PyType_Check(metaclass))) { + metaclass = __Pyx_CalculateMetaclass((PyTypeObject*) metaclass, bases); + Py_XDECREF(owned_metaclass); + if (unlikely(!metaclass)) + return NULL; + owned_metaclass = metaclass; + } + margs = PyTuple_Pack(3, name, bases, dict); + if (unlikely(!margs)) { + result = NULL; + } else { + result = PyObject_Call(metaclass, margs, mkw); + Py_DECREF(margs); + } + Py_XDECREF(owned_metaclass); + return result; +} + +/* CyFunctionClassCell */ + static int __Pyx_CyFunction_InitClassCell(PyObject *cyfunctions, PyObject *classobj) { + Py_ssize_t i, count = PyList_GET_SIZE(cyfunctions); + for (i = 0; i < count; i++) { + __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + PyList_GET_ITEM(cyfunctions, i); +#else + PySequence_ITEM(cyfunctions, i); + if (unlikely(!m)) + return -1; +#endif + Py_INCREF(classobj); + m->func_classobj = classobj; +#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) + Py_DECREF((PyObject*)m); +#endif + } + return 0; +} + +/* CLineInTraceback */ + #ifndef CYTHON_CLINE_IN_TRACEBACK +static int __Pyx_CLineForTraceback(CYTHON_NCP_UNUSED PyThreadState *tstate, int c_line) { + PyObject *use_cline; + PyObject *ptype, *pvalue, *ptraceback; +#if CYTHON_COMPILING_IN_CPYTHON + PyObject **cython_runtime_dict; +#endif + if (unlikely(!__pyx_cython_runtime)) { + return c_line; + } + __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); +#if CYTHON_COMPILING_IN_CPYTHON + cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime); + if (likely(cython_runtime_dict)) { + __PYX_PY_DICT_LOOKUP_IF_MODIFIED( + use_cline, *cython_runtime_dict, + __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback)) + } else +#endif + { + PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback); + if (use_cline_obj) { + use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True; + Py_DECREF(use_cline_obj); + } else { + PyErr_Clear(); + use_cline = NULL; + } + } + if (!use_cline) { + c_line = 0; + PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False); + } + else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) { + c_line = 0; + } + __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); + return c_line; +} +#endif + +/* CodeObjectCache */ + static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { + int start = 0, mid = 0, end = count - 1; + if (end >= 0 && code_line > entries[end].code_line) { + return count; + } + while (start < end) { + mid = start + (end - start) / 2; + if (code_line < entries[mid].code_line) { + end = mid; + } else if (code_line > entries[mid].code_line) { + start = mid + 1; + } else { + return mid; + } + } + if (code_line <= entries[mid].code_line) { + return mid; + } else { + return mid + 1; + } +} +static PyCodeObject *__pyx_find_code_object(int code_line) { + PyCodeObject* code_object; + int pos; + if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { + return NULL; + } + pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); + if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { + return NULL; + } + code_object = __pyx_code_cache.entries[pos].code_object; + Py_INCREF(code_object); + return code_object; +} +static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { + int pos, i; + __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; + if (unlikely(!code_line)) { + return; + } + if (unlikely(!entries)) { + entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); + if (likely(entries)) { + __pyx_code_cache.entries = entries; + __pyx_code_cache.max_count = 64; + __pyx_code_cache.count = 1; + entries[0].code_line = code_line; + entries[0].code_object = code_object; + Py_INCREF(code_object); + } + return; + } + pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); + if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { + PyCodeObject* tmp = entries[pos].code_object; + entries[pos].code_object = code_object; + Py_DECREF(tmp); + return; + } + if (__pyx_code_cache.count == __pyx_code_cache.max_count) { + int new_max = __pyx_code_cache.max_count + 64; + entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( + __pyx_code_cache.entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry)); + if (unlikely(!entries)) { + return; + } + __pyx_code_cache.entries = entries; + __pyx_code_cache.max_count = new_max; + } + for (i=__pyx_code_cache.count; i>pos; i--) { + entries[i] = entries[i-1]; + } + entries[pos].code_line = code_line; + entries[pos].code_object = code_object; + __pyx_code_cache.count++; + Py_INCREF(code_object); +} + +/* AddTraceback */ + #include "compile.h" +#include "frameobject.h" +#include "traceback.h" +static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( + const char *funcname, int c_line, + int py_line, const char *filename) { + PyCodeObject *py_code = 0; + PyObject *py_srcfile = 0; + PyObject *py_funcname = 0; + #if PY_MAJOR_VERSION < 3 + py_srcfile = PyString_FromString(filename); + #else + py_srcfile = PyUnicode_FromString(filename); + #endif + if (!py_srcfile) goto bad; + if (c_line) { + #if PY_MAJOR_VERSION < 3 + py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); + #else + py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); + #endif + } + else { + #if PY_MAJOR_VERSION < 3 + py_funcname = PyString_FromString(funcname); + #else + py_funcname = PyUnicode_FromString(funcname); + #endif + } + if (!py_funcname) goto bad; + py_code = __Pyx_PyCode_New( + 0, + 0, + 0, + 0, + 0, + __pyx_empty_bytes, /*PyObject *code,*/ + __pyx_empty_tuple, /*PyObject *consts,*/ + __pyx_empty_tuple, /*PyObject *names,*/ + __pyx_empty_tuple, /*PyObject *varnames,*/ + __pyx_empty_tuple, /*PyObject *freevars,*/ + __pyx_empty_tuple, /*PyObject *cellvars,*/ + py_srcfile, /*PyObject *filename,*/ + py_funcname, /*PyObject *name,*/ + py_line, + __pyx_empty_bytes /*PyObject *lnotab*/ + ); + Py_DECREF(py_srcfile); + Py_DECREF(py_funcname); + return py_code; +bad: + Py_XDECREF(py_srcfile); + Py_XDECREF(py_funcname); + return NULL; +} +static void __Pyx_AddTraceback(const char *funcname, int c_line, + int py_line, const char *filename) { + PyCodeObject *py_code = 0; + PyFrameObject *py_frame = 0; + PyThreadState *tstate = __Pyx_PyThreadState_Current; + if (c_line) { + c_line = __Pyx_CLineForTraceback(tstate, c_line); + } + py_code = __pyx_find_code_object(c_line ? -c_line : py_line); + if (!py_code) { + py_code = __Pyx_CreateCodeObjectForTraceback( + funcname, c_line, py_line, filename); + if (!py_code) goto bad; + __pyx_insert_code_object(c_line ? -c_line : py_line, py_code); + } + py_frame = PyFrame_New( + tstate, /*PyThreadState *tstate,*/ + py_code, /*PyCodeObject *code,*/ + __pyx_d, /*PyObject *globals,*/ + 0 /*PyObject *locals*/ + ); + if (!py_frame) goto bad; + __Pyx_PyFrame_SetLineNumber(py_frame, py_line); + PyTraceBack_Here(py_frame); +bad: + Py_XDECREF(py_code); + Py_XDECREF(py_frame); +} + +#if PY_MAJOR_VERSION < 3 +static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { + if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); + if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); + if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); + if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); + PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name); + return -1; +} +static void __Pyx_ReleaseBuffer(Py_buffer *view) { + PyObject *obj = view->obj; + if (!obj) return; + if (PyObject_CheckBuffer(obj)) { + PyBuffer_Release(view); + return; + } + if ((0)) {} + else if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); + view->obj = NULL; + Py_DECREF(obj); +} +#endif + + + /* MemviewSliceIsContig */ + static int +__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) +{ + int i, index, step, start; + Py_ssize_t itemsize = mvs.memview->view.itemsize; + if (order == 'F') { + step = 1; + start = 0; + } else { + step = -1; + start = ndim - 1; + } + for (i = 0; i < ndim; i++) { + index = start + step * i; + if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize) + return 0; + itemsize *= mvs.shape[index]; + } + return 1; +} + +/* OverlappingSlices */ + static void +__pyx_get_array_memory_extents(__Pyx_memviewslice *slice, + void **out_start, void **out_end, + int ndim, size_t itemsize) +{ + char *start, *end; + int i; + start = end = slice->data; + for (i = 0; i < ndim; i++) { + Py_ssize_t stride = slice->strides[i]; + Py_ssize_t extent = slice->shape[i]; + if (extent == 0) { + *out_start = *out_end = start; + return; + } else { + if (stride > 0) + end += stride * (extent - 1); + else + start += stride * (extent - 1); + } + } + *out_start = start; + *out_end = end + itemsize; +} +static int +__pyx_slices_overlap(__Pyx_memviewslice *slice1, + __Pyx_memviewslice *slice2, + int ndim, size_t itemsize) +{ + void *start1, *end1, *start2, *end2; + __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); + __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); + return (start1 < end2) && (start2 < end1); +} + +/* Capsule */ + static CYTHON_INLINE PyObject * +__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) +{ + PyObject *cobj; +#if PY_VERSION_HEX >= 0x02070000 + cobj = PyCapsule_New(p, sig, NULL); +#else + cobj = PyCObject_FromVoidPtr(p, NULL); +#endif + return cobj; +} + +/* TypeInfoCompare */ + static int +__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) +{ + int i; + if (!a || !b) + return 0; + if (a == b) + return 1; + if (a->size != b->size || a->typegroup != b->typegroup || + a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { + if (a->typegroup == 'H' || b->typegroup == 'H') { + return a->size == b->size; + } else { + return 0; + } + } + if (a->ndim) { + for (i = 0; i < a->ndim; i++) + if (a->arraysize[i] != b->arraysize[i]) + return 0; + } + if (a->typegroup == 'S') { + if (a->flags != b->flags) + return 0; + if (a->fields || b->fields) { + if (!(a->fields && b->fields)) + return 0; + for (i = 0; a->fields[i].type && b->fields[i].type; i++) { + __Pyx_StructField *field_a = a->fields + i; + __Pyx_StructField *field_b = b->fields + i; + if (field_a->offset != field_b->offset || + !__pyx_typeinfo_cmp(field_a->type, field_b->type)) + return 0; + } + return !a->fields[i].type && !b->fields[i].type; + } + } + return 1; +} + +/* MemviewSliceValidateAndInit */ + static int +__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) +{ + if (buf->shape[dim] <= 1) + return 1; + if (buf->strides) { + if (spec & __Pyx_MEMVIEW_CONTIG) { + if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { + if (unlikely(buf->strides[dim] != sizeof(void *))) { + PyErr_Format(PyExc_ValueError, + "Buffer is not indirectly contiguous " + "in dimension %d.", dim); + goto fail; + } + } else if (unlikely(buf->strides[dim] != buf->itemsize)) { + PyErr_SetString(PyExc_ValueError, + "Buffer and memoryview are not contiguous " + "in the same dimension."); + goto fail; + } + } + if (spec & __Pyx_MEMVIEW_FOLLOW) { + Py_ssize_t stride = buf->strides[dim]; + if (stride < 0) + stride = -stride; + if (unlikely(stride < buf->itemsize)) { + PyErr_SetString(PyExc_ValueError, + "Buffer and memoryview are not contiguous " + "in the same dimension."); + goto fail; + } + } + } else { + if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) { + PyErr_Format(PyExc_ValueError, + "C-contiguous buffer is not contiguous in " + "dimension %d", dim); + goto fail; + } else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) { + PyErr_Format(PyExc_ValueError, + "C-contiguous buffer is not indirect in " + "dimension %d", dim); + goto fail; + } else if (unlikely(buf->suboffsets)) { + PyErr_SetString(PyExc_ValueError, + "Buffer exposes suboffsets but no strides"); + goto fail; + } + } + return 1; +fail: + return 0; +} +static int +__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec) +{ + if (spec & __Pyx_MEMVIEW_DIRECT) { + if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) { + PyErr_Format(PyExc_ValueError, + "Buffer not compatible with direct access " + "in dimension %d.", dim); + goto fail; + } + } + if (spec & __Pyx_MEMVIEW_PTR) { + if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) { + PyErr_Format(PyExc_ValueError, + "Buffer is not indirectly accessible " + "in dimension %d.", dim); + goto fail; + } + } + return 1; +fail: + return 0; +} +static int +__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) +{ + int i; + if (c_or_f_flag & __Pyx_IS_F_CONTIG) { + Py_ssize_t stride = 1; + for (i = 0; i < ndim; i++) { + if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) { + PyErr_SetString(PyExc_ValueError, + "Buffer not fortran contiguous."); + goto fail; + } + stride = stride * buf->shape[i]; + } + } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { + Py_ssize_t stride = 1; + for (i = ndim - 1; i >- 1; i--) { + if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) { + PyErr_SetString(PyExc_ValueError, + "Buffer not C contiguous."); + goto fail; + } + stride = stride * buf->shape[i]; + } + } + return 1; +fail: + return 0; +} +static int __Pyx_ValidateAndInit_memviewslice( + int *axes_specs, + int c_or_f_flag, + int buf_flags, + int ndim, + __Pyx_TypeInfo *dtype, + __Pyx_BufFmt_StackElem stack[], + __Pyx_memviewslice *memviewslice, + PyObject *original_obj) +{ + struct __pyx_memoryview_obj *memview, *new_memview; + __Pyx_RefNannyDeclarations + Py_buffer *buf; + int i, spec = 0, retval = -1; + __Pyx_BufFmt_Context ctx; + int from_memoryview = __pyx_memoryview_check(original_obj); + __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); + if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) + original_obj)->typeinfo)) { + memview = (struct __pyx_memoryview_obj *) original_obj; + new_memview = NULL; + } else { + memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( + original_obj, buf_flags, 0, dtype); + new_memview = memview; + if (unlikely(!memview)) + goto fail; + } + buf = &memview->view; + if (unlikely(buf->ndim != ndim)) { + PyErr_Format(PyExc_ValueError, + "Buffer has wrong number of dimensions (expected %d, got %d)", + ndim, buf->ndim); + goto fail; + } + if (new_memview) { + __Pyx_BufFmt_Init(&ctx, stack, dtype); + if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail; + } + if (unlikely((unsigned) buf->itemsize != dtype->size)) { + PyErr_Format(PyExc_ValueError, + "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " + "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", + buf->itemsize, + (buf->itemsize > 1) ? "s" : "", + dtype->name, + dtype->size, + (dtype->size > 1) ? "s" : ""); + goto fail; + } + if (buf->len > 0) { + for (i = 0; i < ndim; i++) { + spec = axes_specs[i]; + if (unlikely(!__pyx_check_strides(buf, i, ndim, spec))) + goto fail; + if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec))) + goto fail; + } + if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag))) + goto fail; + } + if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, + new_memview != NULL) == -1)) { + goto fail; + } + retval = 0; + goto no_fail; +fail: + Py_XDECREF(new_memview); + retval = -1; +no_fail: + __Pyx_RefNannyFinishContext(); + return retval; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_float(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 1, + &__Pyx_TypeInfo_float, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_double(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 1, + &__Pyx_TypeInfo_double, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_short(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 1, + &__Pyx_TypeInfo_short, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 1, + &__Pyx_TypeInfo_int, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_long(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 1, + &__Pyx_TypeInfo_long, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* CIntFromPyVerify */ + #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ + __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) +#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ + __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) +#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ + {\ + func_type value = func_value;\ + if (sizeof(target_type) < sizeof(func_type)) {\ + if (unlikely(value != (func_type) (target_type) value)) {\ + func_type zero = 0;\ + if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ + return (target_type) -1;\ + if (is_unsigned && unlikely(value < zero))\ + goto raise_neg_overflow;\ + else\ + goto raise_overflow;\ + }\ + }\ + return (target_type) value;\ + } + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsds_float(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 3, + &__Pyx_TypeInfo_float, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_float(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 2, + &__Pyx_TypeInfo_float, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 3, + &__Pyx_TypeInfo_double, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, + PyBUF_RECORDS_RO | writable_flag, 2, + &__Pyx_TypeInfo_double, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + +/* Declarations */ + #if CYTHON_CCOMPLEX + #ifdef __cplusplus + static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { + return ::std::complex< float >(x, y); + } + #else + static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { + return x + y*(__pyx_t_float_complex)_Complex_I; + } + #endif +#else + static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { + __pyx_t_float_complex z; + z.real = x; + z.imag = y; + return z; + } +#endif + +/* Arithmetic */ + #if CYTHON_CCOMPLEX +#else + static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + return (a.real == b.real) && (a.imag == b.imag); + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + z.real = a.real + b.real; + z.imag = a.imag + b.imag; + return z; + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + z.real = a.real - b.real; + z.imag = a.imag - b.imag; + return z; + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + z.real = a.real * b.real - a.imag * b.imag; + z.imag = a.real * b.imag + a.imag * b.real; + return z; + } + #if 1 + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + if (b.imag == 0) { + return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); + } else if (fabsf(b.real) >= fabsf(b.imag)) { + if (b.real == 0 && b.imag == 0) { + return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag); + } else { + float r = b.imag / b.real; + float s = (float)(1.0) / (b.real + b.imag * r); + return __pyx_t_float_complex_from_parts( + (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); + } + } else { + float r = b.real / b.imag; + float s = (float)(1.0) / (b.imag + b.real * r); + return __pyx_t_float_complex_from_parts( + (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); + } + } + #else + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + if (b.imag == 0) { + return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); + } else { + float denom = b.real * b.real + b.imag * b.imag; + return __pyx_t_float_complex_from_parts( + (a.real * b.real + a.imag * b.imag) / denom, + (a.imag * b.real - a.real * b.imag) / denom); + } + } + #endif + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) { + __pyx_t_float_complex z; + z.real = -a.real; + z.imag = -a.imag; + return z; + } + static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) { + return (a.real == 0) && (a.imag == 0); + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) { + __pyx_t_float_complex z; + z.real = a.real; + z.imag = -a.imag; + return z; + } + #if 1 + static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) { + #if !defined(HAVE_HYPOT) || defined(_MSC_VER) + return sqrtf(z.real*z.real + z.imag*z.imag); + #else + return hypotf(z.real, z.imag); + #endif + } + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { + __pyx_t_float_complex z; + float r, lnr, theta, z_r, z_theta; + if (b.imag == 0 && b.real == (int)b.real) { + if (b.real < 0) { + float denom = a.real * a.real + a.imag * a.imag; + a.real = a.real / denom; + a.imag = -a.imag / denom; + b.real = -b.real; + } + switch ((int)b.real) { + case 0: + z.real = 1; + z.imag = 0; + return z; + case 1: + return a; + case 2: + return __Pyx_c_prod_float(a, a); + case 3: + z = __Pyx_c_prod_float(a, a); + return __Pyx_c_prod_float(z, a); + case 4: + z = __Pyx_c_prod_float(a, a); + return __Pyx_c_prod_float(z, z); + } + } + if (a.imag == 0) { + if (a.real == 0) { + return a; + } else if (b.imag == 0) { + z.real = powf(a.real, b.real); + z.imag = 0; + return z; + } else if (a.real > 0) { + r = a.real; + theta = 0; + } else { + r = -a.real; + theta = atan2f(0.0, -1.0); + } + } else { + r = __Pyx_c_abs_float(a); + theta = atan2f(a.imag, a.real); + } + lnr = logf(r); + z_r = expf(lnr * b.real - theta * b.imag); + z_theta = theta * b.real + lnr * b.imag; + z.real = z_r * cosf(z_theta); + z.imag = z_r * sinf(z_theta); + return z; + } + #endif +#endif + +/* Declarations */ + #if CYTHON_CCOMPLEX + #ifdef __cplusplus + static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { + return ::std::complex< double >(x, y); + } + #else + static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { + return x + y*(__pyx_t_double_complex)_Complex_I; + } + #endif +#else + static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { + __pyx_t_double_complex z; + z.real = x; + z.imag = y; + return z; + } +#endif + +/* Arithmetic */ + #if CYTHON_CCOMPLEX +#else + static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + return (a.real == b.real) && (a.imag == b.imag); + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + z.real = a.real + b.real; + z.imag = a.imag + b.imag; + return z; + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + z.real = a.real - b.real; + z.imag = a.imag - b.imag; + return z; + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + z.real = a.real * b.real - a.imag * b.imag; + z.imag = a.real * b.imag + a.imag * b.real; + return z; + } + #if 1 + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + if (b.imag == 0) { + return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); + } else if (fabs(b.real) >= fabs(b.imag)) { + if (b.real == 0 && b.imag == 0) { + return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag); + } else { + double r = b.imag / b.real; + double s = (double)(1.0) / (b.real + b.imag * r); + return __pyx_t_double_complex_from_parts( + (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); + } + } else { + double r = b.real / b.imag; + double s = (double)(1.0) / (b.imag + b.real * r); + return __pyx_t_double_complex_from_parts( + (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); + } + } + #else + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + if (b.imag == 0) { + return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); + } else { + double denom = b.real * b.real + b.imag * b.imag; + return __pyx_t_double_complex_from_parts( + (a.real * b.real + a.imag * b.imag) / denom, + (a.imag * b.real - a.real * b.imag) / denom); + } + } + #endif + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) { + __pyx_t_double_complex z; + z.real = -a.real; + z.imag = -a.imag; + return z; + } + static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) { + return (a.real == 0) && (a.imag == 0); + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) { + __pyx_t_double_complex z; + z.real = a.real; + z.imag = -a.imag; + return z; + } + #if 1 + static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) { + #if !defined(HAVE_HYPOT) || defined(_MSC_VER) + return sqrt(z.real*z.real + z.imag*z.imag); + #else + return hypot(z.real, z.imag); + #endif + } + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { + __pyx_t_double_complex z; + double r, lnr, theta, z_r, z_theta; + if (b.imag == 0 && b.real == (int)b.real) { + if (b.real < 0) { + double denom = a.real * a.real + a.imag * a.imag; + a.real = a.real / denom; + a.imag = -a.imag / denom; + b.real = -b.real; + } + switch ((int)b.real) { + case 0: + z.real = 1; + z.imag = 0; + return z; + case 1: + return a; + case 2: + return __Pyx_c_prod_double(a, a); + case 3: + z = __Pyx_c_prod_double(a, a); + return __Pyx_c_prod_double(z, a); + case 4: + z = __Pyx_c_prod_double(a, a); + return __Pyx_c_prod_double(z, z); + } + } + if (a.imag == 0) { + if (a.real == 0) { + return a; + } else if (b.imag == 0) { + z.real = pow(a.real, b.real); + z.imag = 0; + return z; + } else if (a.real > 0) { + r = a.real; + theta = 0; + } else { + r = -a.real; + theta = atan2(0.0, -1.0); + } + } else { + r = __Pyx_c_abs_double(a); + theta = atan2(a.imag, a.real); + } + lnr = log(r); + z_r = exp(lnr * b.real - theta * b.imag); + z_theta = theta * b.real + lnr * b.imag; + z.real = z_r * cos(z_theta); + z.imag = z_r * sin(z_theta); + return z; + } + #endif +#endif + +/* MemviewSliceCopyTemplate */ + static __Pyx_memviewslice +__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, + const char *mode, int ndim, + size_t sizeof_dtype, int contig_flag, + int dtype_is_object) +{ + __Pyx_RefNannyDeclarations + int i; + __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; + struct __pyx_memoryview_obj *from_memview = from_mvs->memview; + Py_buffer *buf = &from_memview->view; + PyObject *shape_tuple = NULL; + PyObject *temp_int = NULL; + struct __pyx_array_obj *array_obj = NULL; + struct __pyx_memoryview_obj *memview_obj = NULL; + __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); + for (i = 0; i < ndim; i++) { + if (unlikely(from_mvs->suboffsets[i] >= 0)) { + PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " + "indirect dimensions (axis %d)", i); + goto fail; + } + } + shape_tuple = PyTuple_New(ndim); + if (unlikely(!shape_tuple)) { + goto fail; + } + __Pyx_GOTREF(shape_tuple); + for(i = 0; i < ndim; i++) { + temp_int = PyInt_FromSsize_t(from_mvs->shape[i]); + if(unlikely(!temp_int)) { + goto fail; + } else { + PyTuple_SET_ITEM(shape_tuple, i, temp_int); + temp_int = NULL; + } + } + array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); + if (unlikely(!array_obj)) { + goto fail; + } + __Pyx_GOTREF(array_obj); + memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( + (PyObject *) array_obj, contig_flag, + dtype_is_object, + from_mvs->memview->typeinfo); + if (unlikely(!memview_obj)) + goto fail; + if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) + goto fail; + if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, + dtype_is_object) < 0)) + goto fail; + goto no_fail; +fail: + __Pyx_XDECREF(new_mvs.memview); + new_mvs.memview = NULL; + new_mvs.data = NULL; +no_fail: + __Pyx_XDECREF(shape_tuple); + __Pyx_XDECREF(temp_int); + __Pyx_XDECREF(array_obj); + __Pyx_RefNannyFinishContext(); + return new_mvs; +} + +/* CIntFromPy */ + static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const int neg_one = (int) -1, const_zero = (int) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(int) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (int) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (int) 0; + case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0]) + case 2: + if (8 * sizeof(int) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) { + return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(int) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) { + return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(int) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) { + return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (int) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(int) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (int) 0; + case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0]) + case -2: + if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { + return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(int) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { + return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { + return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(int) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { + return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { + return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(int) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { + return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + } +#endif + if (sizeof(int) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + int val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (int) -1; + } + } else { + int val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (int) -1; + val = __Pyx_PyInt_As_int(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to int"); + return (int) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to int"); + return (int) -1; +} + +/* CIntToPy */ + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const long neg_one = (long) -1, const_zero = (long) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(long) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(long) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(long) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(long), + little, !is_unsigned); + } +} + +/* CIntToPy */ + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const int neg_one = (int) -1, const_zero = (int) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(int) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(int) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(int) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(int), + little, !is_unsigned); + } +} + +/* CIntFromPy */ + static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const long neg_one = (long) -1, const_zero = (long) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(long) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (long) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (long) 0; + case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0]) + case 2: + if (8 * sizeof(long) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) { + return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(long) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) { + return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(long) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) { + return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (long) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(long) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (long) 0; + case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0]) + case -2: + if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(long) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(long) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(long) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + } +#endif + if (sizeof(long) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + long val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (long) -1; + } + } else { + long val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (long) -1; + val = __Pyx_PyInt_As_long(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to long"); + return (long) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to long"); + return (long) -1; +} + +/* CIntFromPy */ + static CYTHON_INLINE short __Pyx_PyInt_As_short(PyObject *x) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const short neg_one = (short) -1, const_zero = (short) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(short) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(short, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (short) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (short) 0; + case 1: __PYX_VERIFY_RETURN_INT(short, digit, digits[0]) + case 2: + if (8 * sizeof(short) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(short, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(short) >= 2 * PyLong_SHIFT) { + return (short) (((((short)digits[1]) << PyLong_SHIFT) | (short)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(short) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(short, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(short) >= 3 * PyLong_SHIFT) { + return (short) (((((((short)digits[2]) << PyLong_SHIFT) | (short)digits[1]) << PyLong_SHIFT) | (short)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(short) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(short, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(short) >= 4 * PyLong_SHIFT) { + return (short) (((((((((short)digits[3]) << PyLong_SHIFT) | (short)digits[2]) << PyLong_SHIFT) | (short)digits[1]) << PyLong_SHIFT) | (short)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (short) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(short) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(short, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(short) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(short, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (short) 0; + case -1: __PYX_VERIFY_RETURN_INT(short, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(short, digit, +digits[0]) + case -2: + if (8 * sizeof(short) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(short, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(short) - 1 > 2 * PyLong_SHIFT) { + return (short) (((short)-1)*(((((short)digits[1]) << PyLong_SHIFT) | (short)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(short) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(short, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(short) - 1 > 2 * PyLong_SHIFT) { + return (short) ((((((short)digits[1]) << PyLong_SHIFT) | (short)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(short) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(short, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(short) - 1 > 3 * PyLong_SHIFT) { + return (short) (((short)-1)*(((((((short)digits[2]) << PyLong_SHIFT) | (short)digits[1]) << PyLong_SHIFT) | (short)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(short) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(short, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(short) - 1 > 3 * PyLong_SHIFT) { + return (short) ((((((((short)digits[2]) << PyLong_SHIFT) | (short)digits[1]) << PyLong_SHIFT) | (short)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(short) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(short, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(short) - 1 > 4 * PyLong_SHIFT) { + return (short) (((short)-1)*(((((((((short)digits[3]) << PyLong_SHIFT) | (short)digits[2]) << PyLong_SHIFT) | (short)digits[1]) << PyLong_SHIFT) | (short)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(short) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(short, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(short) - 1 > 4 * PyLong_SHIFT) { + return (short) ((((((((((short)digits[3]) << PyLong_SHIFT) | (short)digits[2]) << PyLong_SHIFT) | (short)digits[1]) << PyLong_SHIFT) | (short)digits[0]))); + } + } + break; + } +#endif + if (sizeof(short) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(short, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(short) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(short, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + short val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (short) -1; + } + } else { + short val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (short) -1; + val = __Pyx_PyInt_As_short(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to short"); + return (short) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to short"); + return (short) -1; +} + +/* CIntToPy */ + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const enum NPY_TYPES neg_one = (enum NPY_TYPES) -1, const_zero = (enum NPY_TYPES) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(enum NPY_TYPES) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(enum NPY_TYPES) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES), + little, !is_unsigned); + } +} + +/* BytesContains */ + static CYTHON_INLINE int __Pyx_BytesContains(PyObject* bytes, char character) { + const Py_ssize_t length = PyBytes_GET_SIZE(bytes); + char* char_start = PyBytes_AS_STRING(bytes); + return memchr(char_start, (unsigned char)character, (size_t)length) != NULL; +} + +/* ImportNumPyArray */ + static PyObject* __Pyx__ImportNumPyArray(void) { + PyObject *numpy_module, *ndarray_object = NULL; + numpy_module = __Pyx_Import(__pyx_n_s_numpy, NULL, 0); + if (likely(numpy_module)) { + ndarray_object = PyObject_GetAttrString(numpy_module, "ndarray"); + Py_DECREF(numpy_module); + } + if (unlikely(!ndarray_object)) { + PyErr_Clear(); + } + if (unlikely(!ndarray_object || !PyObject_TypeCheck(ndarray_object, &PyType_Type))) { + Py_XDECREF(ndarray_object); + Py_INCREF(Py_None); + ndarray_object = Py_None; + } + return ndarray_object; +} +static CYTHON_INLINE PyObject* __Pyx_ImportNumPyArrayTypeIfAvailable(void) { + if (unlikely(!__pyx_numpy_ndarray)) { + __pyx_numpy_ndarray = __Pyx__ImportNumPyArray(); + } + Py_INCREF(__pyx_numpy_ndarray); + return __pyx_numpy_ndarray; +} + +/* CIntFromPy */ + static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const char neg_one = (char) -1, const_zero = (char) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(char) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (char) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (char) 0; + case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0]) + case 2: + if (8 * sizeof(char) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) { + return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(char) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) { + return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(char) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) { + return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (char) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(char) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (char) 0; + case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0]) + case -2: + if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { + return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(char) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { + return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { + return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(char) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { + return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { + return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(char) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { + return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + } +#endif + if (sizeof(char) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + char val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (char) -1; + } + } else { + char val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (char) -1; + val = __Pyx_PyInt_As_char(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to char"); + return (char) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to char"); + return (char) -1; +} + +/* CheckBinaryVersion */ + static int __Pyx_check_binary_version(void) { + char ctversion[4], rtversion[4]; + PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); + PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); + if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) { + char message[200]; + PyOS_snprintf(message, sizeof(message), + "compiletime version %s of module '%.100s' " + "does not match runtime version %s", + ctversion, __Pyx_MODULE_NAME, rtversion); + return PyErr_WarnEx(NULL, message, 1); + } + return 0; +} + +/* FunctionImport */ + #ifndef __PYX_HAVE_RT_ImportFunction +#define __PYX_HAVE_RT_ImportFunction +static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig) { + PyObject *d = 0; + PyObject *cobj = 0; + union { + void (*fp)(void); + void *p; + } tmp; + d = PyObject_GetAttrString(module, (char *)"__pyx_capi__"); + if (!d) + goto bad; + cobj = PyDict_GetItemString(d, funcname); + if (!cobj) { + PyErr_Format(PyExc_ImportError, + "%.200s does not export expected C function %.200s", + PyModule_GetName(module), funcname); + goto bad; + } +#if PY_VERSION_HEX >= 0x02070000 + if (!PyCapsule_IsValid(cobj, sig)) { + PyErr_Format(PyExc_TypeError, + "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)", + PyModule_GetName(module), funcname, sig, PyCapsule_GetName(cobj)); + goto bad; + } + tmp.p = PyCapsule_GetPointer(cobj, sig); +#else + {const char *desc, *s1, *s2; + desc = (const char *)PyCObject_GetDesc(cobj); + if (!desc) + goto bad; + s1 = desc; s2 = sig; + while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; } + if (*s1 != *s2) { + PyErr_Format(PyExc_TypeError, + "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)", + PyModule_GetName(module), funcname, sig, desc); + goto bad; + } + tmp.p = PyCObject_AsVoidPtr(cobj);} +#endif + *f = tmp.fp; + if (!(*f)) + goto bad; + Py_DECREF(d); + return 0; +bad: + Py_XDECREF(d); + return -1; +} +#endif + +/* InitStrings */ + static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { + while (t->p) { + #if PY_MAJOR_VERSION < 3 + if (t->is_unicode) { + *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); + } else if (t->intern) { + *t->p = PyString_InternFromString(t->s); + } else { + *t->p = PyString_FromStringAndSize(t->s, t->n - 1); + } + #else + if (t->is_unicode | t->is_str) { + if (t->intern) { + *t->p = PyUnicode_InternFromString(t->s); + } else if (t->encoding) { + *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); + } else { + *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); + } + } else { + *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); + } + #endif + if (!*t->p) + return -1; + if (PyObject_Hash(*t->p) == -1) + return -1; + ++t; + } + return 0; +} + +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { + return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str)); +} +static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) { + Py_ssize_t ignore; + return __Pyx_PyObject_AsStringAndSize(o, &ignore); +} +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT +#if !CYTHON_PEP393_ENABLED +static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { + char* defenc_c; + PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); + if (!defenc) return NULL; + defenc_c = PyBytes_AS_STRING(defenc); +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + { + char* end = defenc_c + PyBytes_GET_SIZE(defenc); + char* c; + for (c = defenc_c; c < end; c++) { + if ((unsigned char) (*c) >= 128) { + PyUnicode_AsASCIIString(o); + return NULL; + } + } + } +#endif + *length = PyBytes_GET_SIZE(defenc); + return defenc_c; +} +#else +static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { + if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL; +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + if (likely(PyUnicode_IS_ASCII(o))) { + *length = PyUnicode_GET_LENGTH(o); + return PyUnicode_AsUTF8(o); + } else { + PyUnicode_AsASCIIString(o); + return NULL; + } +#else + return PyUnicode_AsUTF8AndSize(o, length); +#endif +} +#endif +#endif +static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT + if ( +#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + __Pyx_sys_getdefaultencoding_not_ascii && +#endif + PyUnicode_Check(o)) { + return __Pyx_PyUnicode_AsStringAndSize(o, length); + } else +#endif +#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) + if (PyByteArray_Check(o)) { + *length = PyByteArray_GET_SIZE(o); + return PyByteArray_AS_STRING(o); + } else +#endif + { + char* result; + int r = PyBytes_AsStringAndSize(o, &result, length); + if (unlikely(r < 0)) { + return NULL; + } else { + return result; + } + } +} +static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { + int is_true = x == Py_True; + if (is_true | (x == Py_False) | (x == Py_None)) return is_true; + else return PyObject_IsTrue(x); +} +static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { + int retval; + if (unlikely(!x)) return -1; + retval = __Pyx_PyObject_IsTrue(x); + Py_DECREF(x); + return retval; +} +static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) { +#if PY_MAJOR_VERSION >= 3 + if (PyLong_Check(result)) { + if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1, + "__int__ returned non-int (type %.200s). " + "The ability to return an instance of a strict subclass of int " + "is deprecated, and may be removed in a future version of Python.", + Py_TYPE(result)->tp_name)) { + Py_DECREF(result); + return NULL; + } + return result; + } +#endif + PyErr_Format(PyExc_TypeError, + "__%.4s__ returned non-%.4s (type %.200s)", + type_name, type_name, Py_TYPE(result)->tp_name); + Py_DECREF(result); + return NULL; +} +static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { +#if CYTHON_USE_TYPE_SLOTS + PyNumberMethods *m; +#endif + const char *name = NULL; + PyObject *res = NULL; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x) || PyLong_Check(x))) +#else + if (likely(PyLong_Check(x))) +#endif + return __Pyx_NewRef(x); +#if CYTHON_USE_TYPE_SLOTS + m = Py_TYPE(x)->tp_as_number; + #if PY_MAJOR_VERSION < 3 + if (m && m->nb_int) { + name = "int"; + res = m->nb_int(x); + } + else if (m && m->nb_long) { + name = "long"; + res = m->nb_long(x); + } + #else + if (likely(m && m->nb_int)) { + name = "int"; + res = m->nb_int(x); + } + #endif +#else + if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) { + res = PyNumber_Int(x); + } +#endif + if (likely(res)) { +#if PY_MAJOR_VERSION < 3 + if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) { +#else + if (unlikely(!PyLong_CheckExact(res))) { +#endif + return __Pyx_PyNumber_IntOrLongWrongResultType(res, name); + } + } + else if (!PyErr_Occurred()) { + PyErr_SetString(PyExc_TypeError, + "an integer is required"); + } + return res; +} +static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { + Py_ssize_t ival; + PyObject *x; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_CheckExact(b))) { + if (sizeof(Py_ssize_t) >= sizeof(long)) + return PyInt_AS_LONG(b); + else + return PyInt_AsSsize_t(b); + } +#endif + if (likely(PyLong_CheckExact(b))) { + #if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)b)->ob_digit; + const Py_ssize_t size = Py_SIZE(b); + if (likely(__Pyx_sst_abs(size) <= 1)) { + ival = likely(size) ? digits[0] : 0; + if (size == -1) ival = -ival; + return ival; + } else { + switch (size) { + case 2: + if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { + return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -2: + if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case 3: + if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { + return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -3: + if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case 4: + if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { + return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -4: + if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + } + } + #endif + return PyLong_AsSsize_t(b); + } + x = PyNumber_Index(b); + if (!x) return -1; + ival = PyInt_AsSsize_t(x); + Py_DECREF(x); + return ival; +} +static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) { + return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False); +} +static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { + return PyInt_FromSize_t(ival); +} + + +#endif /* Py_PYTHON_H */ diff --git a/cornac/models/comparer/recom_comparer_sub.pyx b/cornac/models/comparer/recom_comparer_sub.pyx new file mode 100644 index 000000000..49814fc8e --- /dev/null +++ b/cornac/models/comparer/recom_comparer_sub.pyx @@ -0,0 +1,748 @@ +# Copyright 2018 The Cornac Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================ + +# cython: language_level=3 + +import multiprocessing as mp + +cimport cython +from cython cimport floating, integral +from cython.parallel import parallel, prange +from libc.math cimport sqrt, log, exp + +import scipy.sparse as sp +import numpy as np +cimport numpy as np +from tqdm import trange +from itertools import combinations +from collections import Counter, OrderedDict +from time import time + +from ..recommender import Recommender +from ...exception import ScoreException +from ...utils import get_rng +from ...utils.fast_dict cimport IntFloatDict +from ...utils.init_utils import uniform +from ..bpr.recom_bpr cimport RNGVector, has_non_zero +from ..mter import MTER +from ..mter.recom_mter cimport get_key, get_score + + +cdef extern from "../bpr/recom_bpr.h" namespace "recom_bpr" nogil: + cdef int get_thread_num() + + +class ComparERSub(MTER): + """Explainable Recommendation with Comparative Constraints on Subjective Aspect-Level Quality + + Parameters + ---------- + name: string, optional, default: 'ComparERSub' + The name of the recommender model. + + rating_scale: float, optional, default: 5.0 + The maximum rating score of the dataset. + + n_user_factors: int, optional, default: 15 + The dimension of the user latent factors. + + n_item_factors: int, optional, default: 15 + The dimension of the item latent factors. + + n_aspect_factors: int, optional, default: 12 + The dimension of the aspect latent factors. + + n_opinion_factors: int, optional, default: 12 + The dimension of the opinion latent factors. + + n_bpr_samples: int, optional, default: 1000 + The number of samples from all BPR pairs. + + n_element_samples: int, optional, default: 50 + The number of samples from all ratings in each iteration. + + lambda_reg: float, optional, default: 0.1 + The regularization parameter. + + lambda_bpr: float, optional, default: 10.0 + The regularization parameter for BPR. + + max_iter: int, optional, default: 200000 + Maximum number of iterations for training. + + lr: float, optional, default: 0.1 + The learning rate for optimization + + n_threads: int, optional, default: 0 + Number of parallel threads for training. If n_threads=0, all CPU cores will be utilized. + If seed is not None, n_threads=1 to remove randomness from parallelization. + + trainable: boolean, optional, default: True + When False, the model is not trained and Cornac assumes that the model already \ + pre-trained (U, I, A, O, G1, G2, and G3 are not None). + + verbose: boolean, optional, default: False + When True, running logs are displayed. + + init_params: dictionary, optional, default: None + List of initial parameters, e.g., init_params = {'U':U, 'I':I, 'A':A, 'O':O, 'G1':G1, 'G2':G2, 'G3':G3} + + U: ndarray, shape (n_users, n_user_factors) + The user latent factors, optional initialization via init_params + + I: ndarray, shape (n_items, n_item_factors) + The item latent factors, optional initialization via init_params + + A: ndarray, shape (num_aspects+1, n_aspect_factors) + The aspect latent factors, optional initialization via init_params + + O: ndarray, shape (num_opinions, n_opinion_factors) + The opinion latent factors, optional initialization via init_params + + G1: ndarray, shape (n_user_factors, n_item_factors, n_aspect_factors) + The core tensor for user, item, and aspect factors, optional initialization via init_params + + G2: ndarray, shape (n_user_factors, n_aspect_factors, n_opinion_factors) + The core tensor for user, aspect, and opinion factors, optional initialization via init_params + + G3: ndarray, shape (n_item_factors, n_aspect_factors, n_opinion_factors) + The core tensor for item, aspect, and opinion factors, optional initialization via init_params + + seed: int, optional, default: None + Random seed for parameters initialization. + + References + ---------- + * Trung-Hoang Le and Hady W. Lauw. "Explainable Recommendation with Comparative Constraints on Product Aspects." + ACM International Conference on Web Search and Data Mining (WSDM). 2021. + """ + def __init__( + self, + name="ComparERSub", + rating_scale=5.0, + n_user_factors=8, + n_item_factors=8, + n_aspect_factors=8, + n_opinion_factors=8, + n_pair_samples=1000, + n_bpr_samples=1000, + n_element_samples=50, + min_user_freq=2, + min_pair_freq=1, + min_common_freq=1, + use_item_aspect_popularity=True, + enum_window=None, + lambda_reg=0.1, + lambda_bpr=10, + lambda_d=0.01, + max_iter=200000, + lr=0.5, + n_threads=0, + trainable=True, + verbose=False, + init_params=None, + seed=None, + ): + super().__init__(name=name, rating_scale = rating_scale, n_user_factors = n_user_factors, n_item_factors = n_item_factors, n_aspect_factors = n_aspect_factors, n_opinion_factors = n_opinion_factors, n_bpr_samples = n_bpr_samples, n_element_samples = n_element_samples, lambda_reg = lambda_reg, lambda_bpr = lambda_bpr, max_iter = max_iter, lr = lr, n_threads=n_threads, seed = seed, trainable=trainable, init_params=init_params, verbose=verbose) + self.lambda_d = lambda_d + self.n_pair_samples = n_pair_samples + self.min_user_freq = min_user_freq + self.min_pair_freq = min_pair_freq + self.min_common_freq = min_common_freq + self.use_item_aspect_popularity = use_item_aspect_popularity + self.enum_window = enum_window + + + def _build_item_quality_matrix(self, data_set, sentiment): + start_time = time() + quality_scores = [] + map_iid = [] + map_aspect_id = [] + for iid, sentiment_tup_ids_by_user in sentiment.item_sentiment.items(): + if self.train_set.is_unk_item(iid): + continue + item_aspects = [tup[0] + for tup_id in sentiment_tup_ids_by_user.values() + for tup in sentiment.sentiment[tup_id]] + item_aspect_count = Counter(item_aspects) + total_sentiment_by_aspect = OrderedDict() + for tup_id in sentiment_tup_ids_by_user.values(): + for aid, _, sentiment_polarity in sentiment.sentiment[tup_id]: + total_sentiment_by_aspect[aid] = total_sentiment_by_aspect.get(aid, 0) + sentiment_polarity + for aid, total_sentiment in total_sentiment_by_aspect.items(): + map_iid.append(iid) + map_aspect_id.append(aid) + if self.use_item_aspect_popularity: + quality_scores.append(self._compute_quality_score(total_sentiment)) + else: + avg_sentiment = total_sentiment / item_aspect_count[aid] + quality_scores.append(self._compute_quality_score(avg_sentiment)) + quality_scores = np.asarray(quality_scores, dtype=np.float32).flatten() + map_iid = np.asarray(map_iid, dtype=np.int32).flatten() + map_aspect_id = np.asarray(map_aspect_id, dtype=np.int32).flatten() + Y = sp.csr_matrix((quality_scores, (map_iid, map_aspect_id)), + shape=(self.train_set.num_items, sentiment.num_aspects)) + + if self.verbose: + print('Building item aspect quality matrix completed in %d s' % (time() - start_time)) + + return Y + + def _build_data(self, data_set): + import time + from tqdm import tqdm + + start_time = time.time() + if self.verbose: + print("Building data started!") + + sentiment = self.train_set.sentiment + (u_indices, i_indices, r_values) = data_set.uir_tuple + keys = np.array([get_key(u, i) for u, i in zip(u_indices, i_indices)], dtype=np.intp) + cdef IntFloatDict rating_dict = IntFloatDict(keys, np.array(r_values, dtype=np.float64)) + rating_matrix = sp.csr_matrix( + (r_values, (u_indices, i_indices)), + shape=(self.train_set.num_users, self.train_set.num_items), + ) + user_item_aspect = {} + user_aspect_opinion = {} + item_aspect_opinion = {} + for u_idx, sentiment_tup_ids_by_item in tqdm(sentiment.user_sentiment.items(), disable=not self.verbose, desc='Count aspects'): + if self.train_set.is_unk_user(u_idx): + continue + for i_idx, tup_idx in sentiment_tup_ids_by_item.items(): + user_item_aspect[ + (u_idx, i_idx, sentiment.num_aspects) + ] = rating_matrix[u_idx, i_idx] + for a_idx, o_idx, polarity in sentiment.sentiment[tup_idx]: + user_item_aspect[(u_idx, i_idx, a_idx)] = ( + user_item_aspect.get((u_idx, i_idx, a_idx), 0) + + polarity + ) + if ( + polarity > 0 + ): # only include opinion with positive sentiment polarity + user_aspect_opinion[(u_idx, a_idx, o_idx)] = ( + user_aspect_opinion.get( + (u_idx, a_idx, o_idx), 0 + ) + + 1 + ) + item_aspect_opinion[(i_idx, a_idx, o_idx)] = ( + item_aspect_opinion.get( + (i_idx, a_idx, o_idx), 0 + ) + + 1 + ) + + for key in tqdm(user_item_aspect.keys(), disable=not self.verbose, desc='Compute X'): + if key[2] != sentiment.num_aspects: + user_item_aspect[key] = self._compute_quality_score( + user_item_aspect[key] + ) + + for key in tqdm(user_aspect_opinion.keys(), disable=not self.verbose, desc='Compute YU'): + user_aspect_opinion[key] = self._compute_attention_score( + user_aspect_opinion[key] + ) + + for key in tqdm(item_aspect_opinion.keys(), disable=not self.verbose, desc='Compute YI'): + item_aspect_opinion[key] = self._compute_attention_score( + item_aspect_opinion[key] + ) + Y = self._build_item_quality_matrix(data_set, sentiment) + user_indices, earlier_indices, later_indices, aspect_indices, pair_freq = self._build_chrono_purchased_pairs(data_set, user_item_aspect, Y) + + if self.verbose: + total_time = time.time() - start_time + print("Building data completed in %d s" % total_time) + return ( + rating_matrix, + rating_dict, + user_item_aspect, + user_aspect_opinion, + item_aspect_opinion, + user_indices, earlier_indices, later_indices, aspect_indices, pair_freq + ) + + def _build_chrono_purchased_pairs(self, data_set, user_item_aspect, Y): + start_time = time() + from tqdm import tqdm + chrono_purchased_pairs = Counter() + for user_idx, (item_ids, *_) in tqdm(data_set.chrono_user_data.items(), disable=not self.verbose, desc='Get purchased pairs'): + if len(item_ids) >= self.min_user_freq: + window = len(item_ids) if self.enum_window is None else min(self.enum_window, len(item_ids)) + for sub_item_ids in [item_ids[i:i+window] for i in range(len(item_ids) - window + 1)]: + for earlier_item_idx, later_item_idx in combinations(sub_item_ids, 2): + if self.train_set.is_unk_item(earlier_item_idx) or self.train_set.is_unk_item(later_item_idx): + continue + chrono_purchased_pairs[(user_idx, earlier_item_idx, later_item_idx)] += 1 + + pair_counts = Counter() + common_aspect_counts = Counter() + counted_pairs = set() + not_dominated_pairs = set() + for (user_idx, earlier_item_idx, later_item_idx), count in tqdm(chrono_purchased_pairs.most_common(), disable=not self.verbose, desc='Get skyline aspects'): + for k in range(self.train_set.sentiment.num_aspects - 1): # ignore rating at the last index + if user_item_aspect.get((user_idx, later_item_idx, k), 0) > user_item_aspect.get((user_idx, earlier_item_idx, k), 0): + pair_counts[(user_idx, earlier_item_idx, later_item_idx, k)] += count + not_dominated_pairs.add((user_idx, earlier_item_idx, later_item_idx)) + if Y[earlier_item_idx, k] > 0 and Y[later_item_idx, k] > 0 and (earlier_item_idx, later_item_idx) not in counted_pairs: + common_aspect_counts[(earlier_item_idx, later_item_idx)] += 1 + if (earlier_item_idx, later_item_idx) not in counted_pairs: + counted_pairs.add((earlier_item_idx, later_item_idx)) + + user_indices, earlier_indices, later_indices, aspect_indices, pair_freq = [], [], [], [], [] + for (user_idx, earlier_item_idx, later_item_idx, aspect_idx), count in tqdm(pair_counts.most_common(), disable=not self.verbose, desc='Enumerate index'): + if common_aspect_counts[(earlier_item_idx, later_item_idx)] < self.min_common_freq: + continue + user_indices.append(user_idx) + earlier_indices.append(earlier_item_idx) + later_indices.append(later_item_idx) + aspect_indices.append(aspect_idx) + pair_freq.append(count) + + user_indices = np.asarray(user_indices, dtype=np.int32).flatten() + earlier_indices = np.asarray(earlier_indices, dtype=np.int32).flatten() + later_indices = np.asarray(later_indices, dtype=np.int32).flatten() + aspect_indices = np.asarray(aspect_indices, dtype=np.int32).flatten() + pair_freq = np.asarray(pair_freq, dtype=np.int32).flatten() + + if self.verbose: + print('Building chrono purchared items pairs completed in %d s' % (time() - start_time)) + print('Statistics: # aspect pairs >= %d = %d, min(%.2f), max(%.2f), avg(%.2f)' % ( + self.min_pair_freq, + pair_freq[pair_freq>=self.min_pair_freq].shape[0], + pair_freq.min(), + pair_freq.max(), + pair_freq.mean())) + print('# earlier-later pairs: %d, # unique earlier-later pairs: %d, not dominated pairs %d, # comparable pairs %d' % ( + sum(chrono_purchased_pairs.values()), + len(chrono_purchased_pairs), + len(not_dominated_pairs), + len(pair_freq) + )) + + return user_indices, earlier_indices, later_indices, aspect_indices, pair_freq + + + + def fit(self, train_set, val_set=None): + """Fit the model to observations. + + Parameters + ---------- + train_set: :obj:`cornac.data.Dataset`, required + User-Item preference data as well as additional modalities. + + val_set: :obj:`cornac.data.Dataset`, optional, default: None + User-Item preference data for model selection purposes (e.g., early stopping). + + Returns + ------- + self : object + """ + Recommender.fit(self, train_set, val_set) + + self._init() + + if not self.trainable: + return self + + ( + rating_matrix, + rating_dict, + user_item_aspect, + user_aspect_opinion, + item_aspect_opinion, + p_user_indices, earlier_indices, later_indices, aspect_indices, pair_freq + ) = self._build_data(train_set) + + X, X_uids, X_iids, X_aids = [], [], [], [] + YU, YU_uids, YU_aids, YU_oids = [], [], [], [] + YI, YI_iids, YI_aids, YI_oids = [], [], [], [] + + for (uid, iid, aid), score in user_item_aspect.items(): + X.append(score) + X_uids.append(uid) + X_iids.append(iid) + X_aids.append(aid) + + for (uid, aid, oid), score in user_aspect_opinion.items(): + YU.append(score) + YU_uids.append(uid) + YU_aids.append(aid) + YU_oids.append(oid) + + for (iid, aid, oid), score in item_aspect_opinion.items(): + YI.append(score) + YI_iids.append(iid) + YI_aids.append(aid) + YI_oids.append(oid) + + X = np.array(X, dtype=np.float32) + X_uids = np.array(X_uids, dtype=np.int32) + X_iids = np.array(X_iids, dtype=np.int32) + X_aids = np.array(X_aids, dtype=np.int32) + YU = np.array(YU, dtype=np.float32) + YU_uids = np.array(YU_uids, dtype=np.int32) + YU_aids = np.array(YU_aids, dtype=np.int32) + YU_oids = np.array(YU_oids, dtype=np.int32) + YI = np.array(YI, dtype=np.float32) + YI_iids = np.array(YI_iids, dtype=np.int32) + YI_aids = np.array(YI_aids, dtype=np.int32) + YI_oids = np.array(YI_oids, dtype=np.int32) + + user_counts = np.ediff1d(rating_matrix.indptr).astype(np.int32) + user_ids = np.repeat(np.arange(self.train_set.num_users), user_counts).astype(np.int32) + neg_item_ids = np.arange(train_set.num_items, dtype=np.int32) + + cdef: + int n_threads = self.n_threads + RNGVector rng_pos_uia = RNGVector(n_threads, len(user_item_aspect) - 1, self.rng.randint(2 ** 31)) + RNGVector rng_pos_uao = RNGVector(n_threads, len(user_aspect_opinion) - 1, self.rng.randint(2 ** 31)) + RNGVector rng_pos_iao = RNGVector(n_threads, len(item_aspect_opinion) - 1, self.rng.randint(2 ** 31)) + RNGVector rng_pos_pair = RNGVector(n_threads, len(p_user_indices) - 1, self.rng.randint(2 ** 31)) + RNGVector rng_pos = RNGVector(n_threads, len(user_ids) - 1, self.rng.randint(2 ** 31)) + RNGVector rng_neg = RNGVector(n_threads, train_set.num_items - 1, self.rng.randint(2 ** 31)) + + sgrad_G1 = np.zeros_like(self.G1).astype(np.float32) + sgrad_G2 = np.zeros_like(self.G2).astype(np.float32) + sgrad_G3 = np.zeros_like(self.G3).astype(np.float32) + sgrad_U = np.zeros_like(self.U).astype(np.float32) + sgrad_I = np.zeros_like(self.I).astype(np.float32) + sgrad_A = np.zeros_like(self.A).astype(np.float32) + sgrad_O = np.zeros_like(self.O).astype(np.float32) + del_g1 = np.zeros_like(self.G1).astype(np.float32) + del_g2 = np.zeros_like(self.G2).astype(np.float32) + del_g3 = np.zeros_like(self.G3).astype(np.float32) + del_u = np.zeros_like(self.U).astype(np.float32) + del_i = np.zeros_like(self.I).astype(np.float32) + del_a = np.zeros_like(self.A).astype(np.float32) + del_o = np.zeros_like(self.O).astype(np.float32) + del_g1_reg = np.zeros_like(self.G1).astype(np.float32) + del_g2_reg = np.zeros_like(self.G2).astype(np.float32) + del_g3_reg = np.zeros_like(self.G3).astype(np.float32) + del_u_reg = np.zeros_like(self.U).astype(np.float32) + del_i_reg = np.zeros_like(self.I).astype(np.float32) + del_a_reg = np.zeros_like(self.A).astype(np.float32) + del_o_reg = np.zeros_like(self.O).astype(np.float32) + + with trange(self.max_iter, disable=not self.verbose) as progress: + for epoch in progress: + correct, skipped, loss, bpr_loss = self._fit_mter( + rng_pos_uia, rng_pos_uao, rng_pos_iao, rng_pos_pair, rng_pos, rng_neg, + n_threads, + X, X_uids, X_iids, X_aids, + YU, YU_uids, YU_aids, YU_oids, + YI, YI_iids, YI_aids, YI_oids, + rating_dict, + user_ids, rating_matrix.indices, neg_item_ids, rating_matrix.indptr, + p_user_indices, earlier_indices, later_indices, aspect_indices, pair_freq, + self.G1, self.G2, self.G3, self.U, self.I, self.A, self.O, + sgrad_G1, sgrad_G2, sgrad_G3, sgrad_U, sgrad_I, sgrad_A, sgrad_O, + del_g1, del_g2, del_g3, del_u, del_i, del_a, del_o, + del_g1_reg, del_g2_reg, del_g3_reg, del_u_reg, del_i_reg, del_a_reg, del_o_reg + ) + + progress.set_postfix({ + "loss": "%.2f" % (loss / 3 / self.n_element_samples), + "bpr_loss": "%.2f" % (bpr_loss / self.n_bpr_samples), + "correct": "%.2f%%" % (100.0 * correct / (self.n_bpr_samples - skipped)), + "skipped": "%.2f%%" % (100.0 * skipped / self.n_bpr_samples) + }) + + if self.verbose: + print('Optimization finished!') + + return self + + @cython.cdivision(True) + @cython.boundscheck(False) + @cython.wraparound(False) + def _fit_mter( + self, + RNGVector rng_pos_uia, + RNGVector rng_pos_uao, + RNGVector rng_pos_iao, + RNGVector rng_pos_pair, + RNGVector rng_pos, + RNGVector rng_neg, + int n_threads, + floating[:] X, integral[:] X_uids, integral[:] X_iids, integral[:] X_aids, + floating[:] YU, integral[:] YU_uids, integral[:] YU_aids, integral[:] YU_oids, + floating[:] YI, integral[:] YI_iids, integral[:] YI_aids, integral[:] YI_oids, + IntFloatDict rating_dict, + integral[:] user_ids, integral[:] item_ids, integral[:] neg_item_ids, integral[:] indptr, + integral[:] p_user_indices, integral[:] earlier_indices, integral[:] later_indices, integral[:] aspect_indices, integral[:] pair_counts, + floating[:, :, :] G1, + floating[:, :, :] G2, + floating[:, :, :] G3, + floating[:, :] U, + floating[:, :] I, + floating[:, :] A, + floating[:, :] O, + floating[:, :, :] sgrad_G1, + floating[:, :, :] sgrad_G2, + floating[:, :, :] sgrad_G3, + floating[:, :] sgrad_U, + floating[:, :] sgrad_I, + floating[:, :] sgrad_A, + floating[:, :] sgrad_O, + np.ndarray[np.float32_t, ndim=3] del_g1, + np.ndarray[np.float32_t, ndim=3] del_g2, + np.ndarray[np.float32_t, ndim=3] del_g3, + np.ndarray[np.float32_t, ndim=2] del_u, + np.ndarray[np.float32_t, ndim=2] del_i, + np.ndarray[np.float32_t, ndim=2] del_a, + np.ndarray[np.float32_t, ndim=2] del_o, + np.ndarray[np.float32_t, ndim=3] del_g1_reg, + np.ndarray[np.float32_t, ndim=3] del_g2_reg, + np.ndarray[np.float32_t, ndim=3] del_g3_reg, + np.ndarray[np.float32_t, ndim=2] del_u_reg, + np.ndarray[np.float32_t, ndim=2] del_i_reg, + np.ndarray[np.float32_t, ndim=2] del_a_reg, + np.ndarray[np.float32_t, ndim=2] del_o_reg): + """Fit the model parameters (G1, G2, G3, U, I, A, O) + """ + cdef: + long s, i_index, j_index, correct = 0, skipped = 0, aspect_correct = 0 + long n_users = self.train_set.num_users + long n_items = self.train_set.num_items + long n_aspects = self.train_set.sentiment.num_aspects + long n_opinions = self.train_set.sentiment.num_opinions + long n_user_factors = self.n_user_factors + long n_item_factors = self.n_item_factors + long n_aspect_factors = self.n_aspect_factors + long n_opinion_factors = self.n_opinion_factors + int num_samples = self.n_element_samples + int num_bpr_samples = self.n_bpr_samples + int num_pair_samples = self.n_pair_samples + + integral _, i, j, k, idx, jdx, u_idx, i_idx, a_idx, o_idx, j_idx, thread_id + floating z, score, i_score, j_score, pred, temp, i_ij, a_ji + floating loss = 0., bpr_loss = 0., aspect_bpr_loss = 0., del_sqerror, del_bpr, del_aspect_bpr + floating eps = 1e-9 + + floating lr = self.lr + floating ld_reg = self.lambda_reg + floating ld_bpr = self.lambda_bpr + floating lambda_d = self.lambda_d + + del_g1.fill(0) + del_g2.fill(0) + del_g3.fill(0) + del_u.fill(0) + del_i.fill(0) + del_a.fill(0) + del_o.fill(0) + del_g1_reg.fill(0) + del_g2_reg.fill(0) + del_g3_reg.fill(0) + del_u_reg.fill(0) + del_i_reg.fill(0) + del_a_reg.fill(0) + del_o_reg.fill(0) + with nogil, parallel(num_threads=n_threads): + thread_id = get_thread_num() + for _ in prange(num_samples, schedule='guided'): + # get user item aspect element + idx = rng_pos_uia.generate(thread_id) + u_idx = X_uids[idx] + i_idx = X_iids[idx] + a_idx = X_aids[idx] + score = X[idx] + pred = get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + loss += (pred - score) * (pred - score) + + del_sqerror = 2 * (pred - score) + for i in range(n_user_factors): + for j in range(n_item_factors): + for k in range(n_aspect_factors): + del_g1[i, j, k] += del_sqerror * U[u_idx, i] * I[i_idx, j] * A[a_idx, k] + del_u[u_idx, i] += del_sqerror * G1[i, j, k] * I[i_idx, j] * A[a_idx, k] + del_i[i_idx, j] += del_sqerror * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + del_a[a_idx, k] += del_sqerror * G1[i, j, k] * U[u_idx, i] * I[i_idx, j] + + # get user aspect opinion element + idx = rng_pos_uao.generate(thread_id) + u_idx = YU_uids[idx] + a_idx = YU_aids[idx] + o_idx = YU_oids[idx] + score = YU[idx] + pred = get_score(G2, n_user_factors, n_aspect_factors, n_opinion_factors, U, A, O, u_idx, a_idx, o_idx) + loss += (pred - score) * (pred - score) + + del_sqerror = 2 * (pred - score) + + for i in range(n_user_factors): + for j in range(n_aspect_factors): + for k in range(n_opinion_factors): + del_g2[i, j, k] += del_sqerror * U[u_idx, i] * A[a_idx, j] * O[o_idx, k] + del_u[u_idx, i] += del_sqerror * G2[i, j, k] * A[a_idx, j] * O[o_idx, k] + del_a[a_idx, j] += del_sqerror * G2[i, j, k] * U[u_idx, i] * O[o_idx, k] + del_o[o_idx, k] += del_sqerror * G2[i, j, k] * U[u_idx, i] * A[a_idx, j] + + # get item aspect opinion element + idx = rng_pos_iao.generate(thread_id) + i_idx = YI_iids[idx] + a_idx = YI_aids[idx] + o_idx = YI_oids[idx] + score = YI[idx] + pred = get_score(G3, n_item_factors, n_aspect_factors, n_opinion_factors, I, A, O, i_idx, a_idx, o_idx) + loss += (pred - score) * (pred - score) + + del_sqerror = 2 * (pred - score) + for i in range(n_item_factors): + for j in range(n_aspect_factors): + for k in range(n_opinion_factors): + del_g3[i, j, k] += del_sqerror * I[i_idx, i] * A[a_idx, j] * O[o_idx, k] + del_i[i_idx, i] += del_sqerror * G3[i, j, k] * A[a_idx, j] * O[o_idx, k] + del_a[a_idx, j] += del_sqerror * G3[i, j, k] * I[i_idx, i] * O[o_idx, k] + del_o[o_idx, k] += del_sqerror * G3[i, j, k] * I[i_idx, i] * A[a_idx, j] + + for _ in prange(num_bpr_samples, schedule='guided'): + idx = rng_pos.generate(thread_id) + u_idx = user_ids[idx] + i_idx = item_ids[idx] + jdx = rng_neg.generate(thread_id) + j_idx = neg_item_ids[jdx] + + s = 1 + # if the user has rated the item j, change sign if item j > item i + if has_non_zero(indptr, item_ids, user_ids[i_idx], j_idx): + i_score = rating_dict.my_map[get_key(u_idx, i_idx)] + j_score = rating_dict.my_map[get_key(u_idx, j_idx)] + if i_score == j_score: + skipped += 1 + continue + elif i_score < j_score: + s = -1 + + pred = ( + get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, n_aspects) + - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, n_aspects) + ) * s + z = (1.0 / (1.0 + exp(pred))) + if z < .5: + correct += 1 + del_bpr = ld_bpr * z * s + + bpr_loss += log(1 / (1 + exp(-pred))) + + for i in range(n_user_factors): + for j in range(n_item_factors): + i_ij = I[i_idx, j] - I[j_idx, j] + for k in range(n_aspect_factors): + del_g1[i, j, k] -= del_bpr * U[u_idx, i] * i_ij * A[n_aspects, k] + del_u[u_idx, i] -= del_bpr * G1[i, j, k] * i_ij * A[n_aspects, k] + del_i[i_idx, j] -= del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + del_i[j_idx, j] += del_bpr * G1[i, j, k] * U[u_idx, i] * A[n_aspects, k] + del_a[n_aspects, k] -= del_bpr * G1[i, j, k] * U[u_idx, i] * i_ij + + for _ in prange(num_pair_samples, schedule='guided'): + idx = rng_pos_pair.generate(thread_id) + u_idx = p_user_indices[idx] + i_idx = earlier_indices[idx] + j_idx = later_indices[idx] + a_idx = aspect_indices[idx] + + pred = ( + get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, j_idx, a_idx) + - get_score(G1, n_user_factors, n_item_factors, n_aspect_factors, U, I, A, u_idx, i_idx, a_idx) + ) + + z = (1.0 / (1.0 + exp(pred))) + if z < .5: + aspect_correct += 1 + + del_aspect_bpr = lambda_d * z + aspect_bpr_loss += log(1 / (1 + exp(-pred))) + for i in range(n_user_factors): + for j in range(n_item_factors): + a_ji = I[j_idx, j] - I[i_idx, j] + for k in range(n_aspect_factors): + del_g1[i, j, k] -= del_aspect_bpr * U[u_idx, i] * a_ji * A[a_idx, k] + del_u[u_idx, i] -= del_aspect_bpr * G1[i, j, k] * a_ji * A[a_idx, k] + del_i[j_idx, j] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + del_i[i_idx, j] += del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * A[a_idx, k] + del_a[a_idx, k] -= del_aspect_bpr * G1[i, j, k] * U[u_idx, i] * a_ji + + # update params with AdaGrad + with nogil, parallel(num_threads=n_threads): + for i in prange(n_user_factors, schedule='guided'): + for j in range(n_users): + if del_u[j, i] != 0: + del_u_reg[j, i] += del_u[j, i] + ld_reg * U[j, i] + sgrad_U[j, i] += eps + del_u_reg[j, i] * del_u_reg[j, i] + U[j, i] -= (lr / sqrt(sgrad_U[j, i])) * del_u_reg[j, i] + if U[j, i] < 0: + U[j, i] = 0 + + for j in range(n_item_factors): + for k in range(n_aspect_factors): + if del_g1[i, j, k] != 0: + del_g1_reg[i, j, k] += del_g1[i, j, k] + ld_reg * G1[i, j, k] + sgrad_G1[i, j, k] += eps + del_g1_reg[i, j, k] * del_g1_reg[i, j, k] + G1[i, j, k] -= (lr / sqrt(sgrad_G1[i, j, k])) * del_g1_reg[i, j, k] + if G1[i, j, k] < 0: + G1[i, j, k] = 0 + + for j in range(n_aspect_factors): + for k in range(n_opinion_factors): + if del_g2[i, j, k] != 0: + del_g2_reg[i, j, k] += del_g2[i, j, k] + ld_reg * G2[i, j, k] + sgrad_G2[i, j, k] += eps + del_g2_reg[i, j, k] * del_g2_reg[i, j, k] + G2[i, j, k] -= (lr / sqrt(sgrad_G2[i, j, k])) * del_g2_reg[i, j, k] + if G2[i, j, k] < 0: + G2[i, j, k] = 0 + + for i in prange(n_item_factors, schedule='guided'): + for j in range(n_items): + if del_i[j, i] != 0: + del_i_reg[j, i] += del_i[j, i] + ld_reg * I[j, i] + sgrad_I[j, i] += eps + del_i_reg[j, i] * del_i_reg[j, i] + I[j, i] -= (lr / sqrt(sgrad_I[j, i])) * del_i_reg[j, i] + if I[j, i] < 0: + I[j, i] = 0 + + for j in range(n_aspect_factors): + for k in range(n_opinion_factors): + if del_g3[i, j, k] != 0: + del_g3_reg[i, j, k] += del_g3[i, j, k] + ld_reg * G3[i, j, k] + sgrad_G3[i, j, k] += eps + del_g3_reg[i, j, k] * del_g3_reg[i, j, k] + G3[i, j, k] -= (lr / sqrt(sgrad_G3[i, j, k])) * del_g3_reg[i, j, k] + if G3[i, j, k] < 0: + G3[i, j, k] = 0 + + for i in prange(n_aspects + 1, schedule='guided'): + for j in range(n_aspect_factors): + if del_a[i, j] != 0: + del_a_reg[i, j] += del_a[i, j] + ld_reg * A[i, j] + sgrad_A[i, j] += eps + del_a_reg[i, j] * del_a_reg[i, j] + A[i, j] -= (lr / sqrt(sgrad_A[i, j])) * del_a_reg[i, j] + if A[i, j] < 0: + A[i, j] = 0 + + for i in prange(n_opinions, schedule='guided'): + for j in range(n_opinion_factors): + if del_o[i, j] != 0: + del_o_reg[i, j] += del_o[i, j] + ld_reg * O[i, j] + sgrad_O[i, j] += eps + del_o_reg[i, j] * del_o_reg[i, j] + O[i, j] -= (lr / sqrt(sgrad_O[i, j])) * del_o_reg[i, j] + if O[i, j] < 0: + O[i, j] = 0 + + return correct, skipped, loss, bpr_loss diff --git a/docs/source/models.rst b/docs/source/models.rst index aa8b1e086..a9bcda5f9 100644 --- a/docs/source/models.rst +++ b/docs/source/models.rst @@ -15,6 +15,14 @@ Bilateral VAE for Collaborative Filtering (BiVAECF) .. automodule:: cornac.models.bivaecf.recom_bivaecf :members: +Explainable Recommendation with Comparative Constraints on Product Aspects (ComparER) +------------------------------------------------------------------------------------- +.. automodule:: cornac.models.comparer.recom_comparer_sub + :members: + +.. automodule:: cornac.models.comparer.recom_comparer_obj + :members: + Collaborative Context Poisson Factorization (C2PF) ---------------------------------------------------- .. automodule:: cornac.models.c2pf.recom_c2pf diff --git a/setup.py b/setup.py index 895d1dfda..c66b84f47 100644 --- a/setup.py +++ b/setup.py @@ -174,6 +174,12 @@ def extract_gcc_binaries(): include_dirs=[np.get_include()], language="c++", ), + Extension( + name='cornac.models.comparer.recom_comparer_obj', + sources=['cornac/models/comparer/recom_comparer_obj' + ext], + include_dirs=[np.get_include()], + language='c++' + ), Extension( name="cornac.models.bpr.recom_bpr", sources=["cornac/models/bpr/recom_bpr" + ext], @@ -206,6 +212,14 @@ def extract_gcc_binaries(): extra_compile_args=compile_args, extra_link_args=link_args, ), + Extension( + name="cornac.models.comparer.recom_comparer_sub", + sources=["cornac/models/comparer/recom_comparer_sub" + ext], + include_dirs=[np.get_include(), "cornac/utils/external"], + language="c++", + extra_compile_args=compile_args, + extra_link_args=link_args, + ), Extension( name="cornac.models.mmmf.recom_mmmf", sources=["cornac/models/mmmf/recom_mmmf" + ext],