/* Generated by Cython 0.29.36 */
/* BEGIN: Cython Metadata
{
"distutils": {
"depends": [
"gensim/models/voidptr.h"
],
"include_dirs": [
"gensim/models"
],
"language": "c",
"name": "gensim.models.word2vec_inner",
"sources": [
"gensim/models/word2vec_inner.pyx"
]
},
"module_name": "gensim.models.word2vec_inner"
}
END: Cython Metadata */
#ifndef PY_SSIZE_T_CLEAN
#define PY_SSIZE_T_CLEAN
#endif /* 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_36"
#define CYTHON_HEX_VERSION 0x001D24F0
#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
#define CYTHON_COMPILING_IN_NOGIL 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
#if PY_VERSION_HEX < 0x03090000
#undef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT 0
#elif !defined(CYTHON_PEP489_MULTI_PHASE_INIT)
#define CYTHON_PEP489_MULTI_PHASE_INIT 1
#endif
#undef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1 && PYPY_VERSION_NUM >= 0x07030C00)
#undef CYTHON_USE_DICT_VERSIONS
#define CYTHON_USE_DICT_VERSIONS 0
#undef CYTHON_USE_EXC_INFO_STACK
#define CYTHON_USE_EXC_INFO_STACK 0
#ifndef CYTHON_UPDATE_DESCRIPTOR_DOC
#define CYTHON_UPDATE_DESCRIPTOR_DOC 0
#endif
#elif defined(PYSTON_VERSION)
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_PYSTON 1
#define CYTHON_COMPILING_IN_CPYTHON 0
#define CYTHON_COMPILING_IN_NOGIL 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
#ifndef CYTHON_UPDATE_DESCRIPTOR_DOC
#define CYTHON_UPDATE_DESCRIPTOR_DOC 0
#endif
#elif defined(PY_NOGIL)
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_PYSTON 0
#define CYTHON_COMPILING_IN_CPYTHON 0
#define CYTHON_COMPILING_IN_NOGIL 1
#ifndef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 1
#endif
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#ifndef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 1
#endif
#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
#ifndef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT 1
#endif
#ifndef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE 1
#endif
#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
#define CYTHON_COMPILING_IN_NOGIL 0
#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 (PY_VERSION_HEX < 0x030C00A5)
#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 || PY_VERSION_HEX >= 0x030B00A2
#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
#if PY_VERSION_HEX >= 0x030B00A4
#undef CYTHON_FAST_THREAD_STATE
#define CYTHON_FAST_THREAD_STATE 0
#elif !defined(CYTHON_FAST_THREAD_STATE)
#define CYTHON_FAST_THREAD_STATE 1
#endif
#ifndef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL (PY_VERSION_HEX < 0x030A0000)
#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) && (PY_VERSION_HEX < 0x030C00A5))
#endif
#if PY_VERSION_HEX >= 0x030B00A4
#undef CYTHON_USE_EXC_INFO_STACK
#define CYTHON_USE_EXC_INFO_STACK 0
#elif !defined(CYTHON_USE_EXC_INFO_STACK)
#define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3)
#endif
#ifndef CYTHON_UPDATE_DESCRIPTOR_DOC
#define CYTHON_UPDATE_DESCRIPTOR_DOC 1
#endif
#endif
#if !defined(CYTHON_FAST_PYCCALL)
#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
#endif
#if CYTHON_USE_PYLONG_INTERNALS
#if PY_MAJOR_VERSION < 3
#include "longintrepr.h"
#endif
#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 CYTHON_INLINE
#if defined(__clang__)
#define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
#elif defined(__GNUC__)
#define CYTHON_INLINE __inline__
#elif defined(_MSC_VER)
#define CYTHON_INLINE __inline
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_INLINE inline
#else
#define CYTHON_INLINE
#endif
#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"
#define __Pyx_DefaultClassType PyType_Type
#if PY_VERSION_HEX >= 0x030B00A1
static CYTHON_INLINE PyCodeObject* __Pyx_PyCode_New(int a, int k, int l, int s, int f,
PyObject *code, PyObject *c, PyObject* n, PyObject *v,
PyObject *fv, PyObject *cell, PyObject* fn,
PyObject *name, int fline, PyObject *lnos) {
PyObject *kwds=NULL, *argcount=NULL, *posonlyargcount=NULL, *kwonlyargcount=NULL;
PyObject *nlocals=NULL, *stacksize=NULL, *flags=NULL, *replace=NULL, *call_result=NULL, *empty=NULL;
const char *fn_cstr=NULL;
const char *name_cstr=NULL;
PyCodeObject* co=NULL;
PyObject *type, *value, *traceback;
PyErr_Fetch(&type, &value, &traceback);
if (!(kwds=PyDict_New())) goto end;
if (!(argcount=PyLong_FromLong(a))) goto end;
if (PyDict_SetItemString(kwds, "co_argcount", argcount) != 0) goto end;
if (!(posonlyargcount=PyLong_FromLong(0))) goto end;
if (PyDict_SetItemString(kwds, "co_posonlyargcount", posonlyargcount) != 0) goto end;
if (!(kwonlyargcount=PyLong_FromLong(k))) goto end;
if (PyDict_SetItemString(kwds, "co_kwonlyargcount", kwonlyargcount) != 0) goto end;
if (!(nlocals=PyLong_FromLong(l))) goto end;
if (PyDict_SetItemString(kwds, "co_nlocals", nlocals) != 0) goto end;
if (!(stacksize=PyLong_FromLong(s))) goto end;
if (PyDict_SetItemString(kwds, "co_stacksize", stacksize) != 0) goto end;
if (!(flags=PyLong_FromLong(f))) goto end;
if (PyDict_SetItemString(kwds, "co_flags", flags) != 0) goto end;
if (PyDict_SetItemString(kwds, "co_code", code) != 0) goto end;
if (PyDict_SetItemString(kwds, "co_consts", c) != 0) goto end;
if (PyDict_SetItemString(kwds, "co_names", n) != 0) goto end;
if (PyDict_SetItemString(kwds, "co_varnames", v) != 0) goto end;
if (PyDict_SetItemString(kwds, "co_freevars", fv) != 0) goto end;
if (PyDict_SetItemString(kwds, "co_cellvars", cell) != 0) goto end;
if (PyDict_SetItemString(kwds, "co_linetable", lnos) != 0) goto end;
if (!(fn_cstr=PyUnicode_AsUTF8AndSize(fn, NULL))) goto end;
if (!(name_cstr=PyUnicode_AsUTF8AndSize(name, NULL))) goto end;
if (!(co = PyCode_NewEmpty(fn_cstr, name_cstr, fline))) goto end;
if (!(replace = PyObject_GetAttrString((PyObject*)co, "replace"))) goto cleanup_code_too;
if (!(empty = PyTuple_New(0))) goto cleanup_code_too; // unfortunately __pyx_empty_tuple isn't available here
if (!(call_result = PyObject_Call(replace, empty, kwds))) goto cleanup_code_too;
Py_XDECREF((PyObject*)co);
co = (PyCodeObject*)call_result;
call_result = NULL;
if (0) {
cleanup_code_too:
Py_XDECREF((PyObject*)co);
co = NULL;
}
end:
Py_XDECREF(kwds);
Py_XDECREF(argcount);
Py_XDECREF(posonlyargcount);
Py_XDECREF(kwonlyargcount);
Py_XDECREF(nlocals);
Py_XDECREF(stacksize);
Py_XDECREF(replace);
Py_XDECREF(call_result);
Py_XDECREF(empty);
if (type) {
PyErr_Restore(type, value, traceback);
}
return co;
}
#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
#if PY_VERSION_HEX >= 0x030900F0 && !CYTHON_COMPILING_IN_PYPY
#define __Pyx_PyObject_GC_IsFinalized(o) PyObject_GC_IsFinalized(o)
#else
#define __Pyx_PyObject_GC_IsFinalized(o) _PyGC_FINALIZED(o)
#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
#if PY_VERSION_HEX >= 0x030C0000
#define __Pyx_PyUnicode_READY(op) (0)
#else
#define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\
0 : _PyUnicode_Ready((PyObject *)(op)))
#endif
#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 PY_VERSION_HEX >= 0x030C0000
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_LENGTH(u))
#else
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x03090000
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : ((PyCompactUnicodeObject *)(u))->wstr_length))
#else
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
#endif
#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 __Pyx_PyIndex_AsHash_t
#else
#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
#define __Pyx_PyInt_AsHash_t __Pyx_PyIndex_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(WIN32) || defined(MS_WINDOWS)
#if !defined(_USE_MATH_DEFINES)
#define _USE_MATH_DEFINES
#endif
#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__gensim__models__word2vec_inner
#define __PYX_HAVE_API__gensim__models__word2vec_inner
/* Early includes */
#include
#include
#include "numpy/arrayobject.h"
#include "numpy/ndarrayobject.h"
#include "numpy/ndarraytypes.h"
#include "numpy/arrayscalars.h"
#include "numpy/ufuncobject.h"
/* NumPy API declarations from "numpy/__init__.pxd" */
#include "voidptr.h"
#include
#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);
static CYTHON_INLINE Py_hash_t __Pyx_PyIndex_AsHash_t(PyObject*);
#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[] = {
"gensim/models/word2vec_inner.pyx",
"__init__.pxd",
"type.pxd",
};
/* 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
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":690
* # 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":691
*
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":692
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":693
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":697
* #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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":698
*
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":699
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":700
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":704
* #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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":705
*
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":714
* # 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":715
* # 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":716
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":718
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":719
*
* ctypedef npy_ulong uint_t
* ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<<
* ctypedef npy_ulonglong ulonglong_t
*
*/
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":720
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":722
* ctypedef npy_ulonglong ulonglong_t
*
* ctypedef npy_intp intp_t # <<<<<<<<<<<<<<
* ctypedef npy_uintp uintp_t
*
*/
typedef npy_intp __pyx_t_5numpy_intp_t;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":723
*
* ctypedef npy_intp intp_t
* ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<<
*
* ctypedef npy_double float_t
*/
typedef npy_uintp __pyx_t_5numpy_uintp_t;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":725
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":726
*
* ctypedef npy_double float_t
* ctypedef npy_double double_t # <<<<<<<<<<<<<<
* ctypedef npy_longdouble longdouble_t
*
*/
typedef npy_double __pyx_t_5numpy_double_t;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":727
* 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;
/* "gensim/models/word2vec_inner.pxd":20
* void* PyCObject_AsVoidPtr(object obj)
*
* ctypedef np.float32_t REAL_t # <<<<<<<<<<<<<<
*
* # BLAS routine signatures
*/
typedef __pyx_t_5numpy_float32_t __pyx_t_6gensim_6models_14word2vec_inner_REAL_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 ---*/
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":729
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":730
*
* ctypedef npy_cfloat cfloat_t
* ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<<
* ctypedef npy_clongdouble clongdouble_t
*
*/
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":731
* 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;
/* "../pip-build-env-vo_sekbg/overlay/lib/python3.10/site-packages/numpy/__init__.pxd":733
* ctypedef npy_clongdouble clongdouble_t
*
* ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<<
*
* cdef inline object PyArray_MultiIterNew1(a):
*/
typedef npy_cdouble __pyx_t_5numpy_complex_t;
struct __pyx_t_6gensim_6models_14word2vec_inner_Word2VecConfig;
struct __pyx_opt_args_6gensim_6models_14word2vec_inner_init_w2v_config;
/* "gensim/models/word2vec_inner.pxd":23
*
* # BLAS routine signatures
* ctypedef void (*scopy_ptr) (const int *N, const float *X, const int *incX, float *Y, const int *incY) nogil # <<<<<<<<<<<<<<
* ctypedef void (*saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil
* ctypedef float (*sdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
*/
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_scopy_ptr)(int const *, float const *, int const *, float *, int const *);
/* "gensim/models/word2vec_inner.pxd":24
* # BLAS routine signatures
* ctypedef void (*scopy_ptr) (const int *N, const float *X, const int *incX, float *Y, const int *incY) nogil
* ctypedef void (*saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil # <<<<<<<<<<<<<<
* ctypedef float (*sdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
* ctypedef double (*dsdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
*/
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_saxpy_ptr)(int const *, float const *, float const *, int const *, float *, int const *);
/* "gensim/models/word2vec_inner.pxd":25
* ctypedef void (*scopy_ptr) (const int *N, const float *X, const int *incX, float *Y, const int *incY) nogil
* ctypedef void (*saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil
* ctypedef float (*sdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil # <<<<<<<<<<<<<<
* ctypedef double (*dsdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
* ctypedef double (*snrm2_ptr) (const int *N, const float *X, const int *incX) nogil
*/
typedef float (*__pyx_t_6gensim_6models_14word2vec_inner_sdot_ptr)(int const *, float const *, int const *, float const *, int const *);
/* "gensim/models/word2vec_inner.pxd":26
* ctypedef void (*saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil
* ctypedef float (*sdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
* ctypedef double (*dsdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil # <<<<<<<<<<<<<<
* ctypedef double (*snrm2_ptr) (const int *N, const float *X, const int *incX) nogil
* ctypedef void (*sscal_ptr) (const int *N, const float *alpha, const float *X, const int *incX) nogil
*/
typedef double (*__pyx_t_6gensim_6models_14word2vec_inner_dsdot_ptr)(int const *, float const *, int const *, float const *, int const *);
/* "gensim/models/word2vec_inner.pxd":27
* ctypedef float (*sdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
* ctypedef double (*dsdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
* ctypedef double (*snrm2_ptr) (const int *N, const float *X, const int *incX) nogil # <<<<<<<<<<<<<<
* ctypedef void (*sscal_ptr) (const int *N, const float *alpha, const float *X, const int *incX) nogil
*
*/
typedef double (*__pyx_t_6gensim_6models_14word2vec_inner_snrm2_ptr)(int const *, float const *, int const *);
/* "gensim/models/word2vec_inner.pxd":28
* ctypedef double (*dsdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
* ctypedef double (*snrm2_ptr) (const int *N, const float *X, const int *incX) nogil
* ctypedef void (*sscal_ptr) (const int *N, const float *alpha, const float *X, const int *incX) nogil # <<<<<<<<<<<<<<
*
* cdef scopy_ptr scopy
*/
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_sscal_ptr)(int const *, float const *, float const *, int const *);
/* "gensim/models/word2vec_inner.pxd":45
*
* # function implementations swapped based on BLAS detected in word2vec_inner.pyx init()
* ctypedef REAL_t (*our_dot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil # <<<<<<<<<<<<<<
* ctypedef void (*our_saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil
*
*/
typedef __pyx_t_6gensim_6models_14word2vec_inner_REAL_t (*__pyx_t_6gensim_6models_14word2vec_inner_our_dot_ptr)(int const *, float const *, int const *, float const *, int const *);
/* "gensim/models/word2vec_inner.pxd":46
* # function implementations swapped based on BLAS detected in word2vec_inner.pyx init()
* ctypedef REAL_t (*our_dot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
* ctypedef void (*our_saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil # <<<<<<<<<<<<<<
*
* cdef our_dot_ptr our_dot
*/
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_our_saxpy_ptr)(int const *, float const *, float const *, int const *, float *, int const *);
/* "gensim/models/word2vec_inner.pxd":52
*
*
* cdef struct Word2VecConfig: # <<<<<<<<<<<<<<
* int hs, negative, sample, compute_loss, size, window, cbow_mean, workers
* REAL_t running_training_loss, alpha
*/
struct __pyx_t_6gensim_6models_14word2vec_inner_Word2VecConfig {
int hs;
int negative;
int sample;
int compute_loss;
int size;
int window;
int cbow_mean;
int workers;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t running_training_loss;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t alpha;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *syn0;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *words_lockf;
__pyx_t_5numpy_uint32_t words_lockf_len;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *work;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *neu1;
int codelens[0x2710];
__pyx_t_5numpy_uint32_t indexes[0x2710];
__pyx_t_5numpy_uint32_t reduced_windows[0x2710];
int sentence_idx[(0x2710 + 1)];
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *syn1;
__pyx_t_5numpy_uint32_t *points[0x2710];
__pyx_t_5numpy_uint8_t *codes[0x2710];
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *syn1neg;
__pyx_t_5numpy_uint32_t *cum_table;
unsigned PY_LONG_LONG cum_table_len;
unsigned PY_LONG_LONG next_random;
};
/* "gensim/models/word2vec_inner.pxd":127
*
*
* cdef init_w2v_config(Word2VecConfig *c, model, alpha, compute_loss, _work, _neu1=*) # <<<<<<<<<<<<<<
*/
struct __pyx_opt_args_6gensim_6models_14word2vec_inner_init_w2v_config {
int __pyx_n;
PyObject *_neu1;
};
/* --- 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);
/* PyIntCompare.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_NeObjC(PyObject *op1, PyObject *op2, long intval, long inplace);
/* ExtTypeTest.proto */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);
/* 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
/* 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);
/* 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);
/* 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
/* 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));
}
/* 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
/* None.proto */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
/* 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
#if CYTHON_FAST_PYCALL
static size_t __pyx_pyframe_localsplus_offset = 0;
#include "frameobject.h"
#if PY_VERSION_HEX >= 0x030b00a6
#ifndef Py_BUILD_CORE
#define Py_BUILD_CORE 1
#endif
#include "internal/pycore_frame.h"
#endif
#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 // CYTHON_FAST_PYCALL
#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
/* 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
/* 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
/* 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
/* 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);
/* TypeImport.proto */
#ifndef __PYX_HAVE_RT_ImportType_proto_0_29_36
#define __PYX_HAVE_RT_ImportType_proto_0_29_36
#if __STDC_VERSION__ >= 201112L
#include
#endif
#if __STDC_VERSION__ >= 201112L || __cplusplus >= 201103L
#define __PYX_GET_STRUCT_ALIGNMENT_0_29_36(s) alignof(s)
#else
#define __PYX_GET_STRUCT_ALIGNMENT_0_29_36(s) sizeof(void*)
#endif
enum __Pyx_ImportType_CheckSize_0_29_36 {
__Pyx_ImportType_CheckSize_Error_0_29_36 = 0,
__Pyx_ImportType_CheckSize_Warn_0_29_36 = 1,
__Pyx_ImportType_CheckSize_Ignore_0_29_36 = 2
};
static PyTypeObject *__Pyx_ImportType_0_29_36(PyObject* module, const char *module_name, const char *class_name, size_t size, size_t alignment, enum __Pyx_ImportType_CheckSize_0_29_36 check_size);
#endif
/* Import.proto */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
/* 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) do {\
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);\
} while(0)
#define __Pyx_GetModuleGlobalNameUncached(var, name) do {\
PY_UINT64_T __pyx_dict_version;\
PyObject *__pyx_dict_cached_value;\
(var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
} while(0)
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
/* 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
/* 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);
/* GCCDiagnostics.proto */
#if defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6))
#define __Pyx_HAS_GCC_DIAGNOSTIC
#endif
/* IntPow.proto */
static CYTHON_INLINE long __Pyx_pow_long(long, long);
/* 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
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
/* CIntFromPy.proto */
static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_As_PY_LONG_LONG(PyObject *);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
/* CIntFromPy.proto */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_As_unsigned_PY_LONG_LONG(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE npy_uint32 __Pyx_PyInt_As_npy_uint32(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
/* 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)
/* CheckBinaryVersion.proto */
static int __Pyx_check_binary_version(void);
/* VoidPtrExport.proto */
static int __Pyx_ExportVoidPtr(PyObject *name, void *p, const char *sig);
/* FunctionExport.proto */
static int __Pyx_ExportFunction(const char *name, void (*f)(void), const char *sig);
/* InitStrings.proto */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
/* 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_generic = 0;
static PyTypeObject *__pyx_ptype_5numpy_number = 0;
static PyTypeObject *__pyx_ptype_5numpy_integer = 0;
static PyTypeObject *__pyx_ptype_5numpy_signedinteger = 0;
static PyTypeObject *__pyx_ptype_5numpy_unsignedinteger = 0;
static PyTypeObject *__pyx_ptype_5numpy_inexact = 0;
static PyTypeObject *__pyx_ptype_5numpy_floating = 0;
static PyTypeObject *__pyx_ptype_5numpy_complexfloating = 0;
static PyTypeObject *__pyx_ptype_5numpy_flexible = 0;
static PyTypeObject *__pyx_ptype_5numpy_character = 0;
static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;
/* Module declarations from 'cython' */
/* Module declarations from 'libc.math' */
/* Module declarations from 'gensim.models.word2vec_inner' */
static __pyx_t_6gensim_6models_14word2vec_inner_scopy_ptr __pyx_v_6gensim_6models_14word2vec_inner_scopy;
static __pyx_t_6gensim_6models_14word2vec_inner_saxpy_ptr __pyx_v_6gensim_6models_14word2vec_inner_saxpy;
static __pyx_t_6gensim_6models_14word2vec_inner_sdot_ptr __pyx_v_6gensim_6models_14word2vec_inner_sdot;
static __pyx_t_6gensim_6models_14word2vec_inner_dsdot_ptr __pyx_v_6gensim_6models_14word2vec_inner_dsdot;
static __pyx_t_6gensim_6models_14word2vec_inner_snrm2_ptr __pyx_v_6gensim_6models_14word2vec_inner_snrm2;
static __pyx_t_6gensim_6models_14word2vec_inner_sscal_ptr __pyx_v_6gensim_6models_14word2vec_inner_sscal;
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[0x3E8];
static __pyx_t_6gensim_6models_14word2vec_inner_our_dot_ptr __pyx_v_6gensim_6models_14word2vec_inner_our_dot;
static __pyx_t_6gensim_6models_14word2vec_inner_our_saxpy_ptr __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy;
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_14word2vec_inner_LOG_TABLE[0x3E8];
static int __pyx_v_6gensim_6models_14word2vec_inner_ONE;
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_14word2vec_inner_ONEF;
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_f_6gensim_6models_14word2vec_inner_our_dot_double(int const *, float const *, int const *, float const *, int const *); /*proto*/
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_f_6gensim_6models_14word2vec_inner_our_dot_float(int const *, float const *, int const *, float const *, int const *); /*proto*/
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_f_6gensim_6models_14word2vec_inner_our_dot_noblas(int const *, float const *, int const *, float const *, int const *); /*proto*/
static void __pyx_f_6gensim_6models_14word2vec_inner_our_saxpy_noblas(int const *, float const *, float const *, int const *, float *, int const *); /*proto*/
static CYTHON_INLINE unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG); /*proto*/
static CYTHON_INLINE unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_random_int32(unsigned PY_LONG_LONG *); /*proto*/
static void __pyx_f_6gensim_6models_14word2vec_inner_w2v_fast_sentence_sg_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_5numpy_uint32_t const , int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_w2v_fast_sentence_sg_neg(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_5numpy_uint32_t const , int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
static void __pyx_f_6gensim_6models_14word2vec_inner_w2v_fast_sentence_cbow_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int, int, int, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_5numpy_uint32_t const , int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_w2v_fast_sentence_cbow_neg(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, int *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int, int, int, int, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_5numpy_uint32_t const , int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
static PyObject *__pyx_f_6gensim_6models_14word2vec_inner_init_w2v_config(struct __pyx_t_6gensim_6models_14word2vec_inner_Word2VecConfig *, PyObject *, PyObject *, PyObject *, PyObject *, struct __pyx_opt_args_6gensim_6models_14word2vec_inner_init_w2v_config *__pyx_optional_args); /*proto*/
static void __pyx_f_6gensim_6models_14word2vec_inner_score_pair_sg_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
static void __pyx_f_6gensim_6models_14word2vec_inner_score_pair_cbow_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int, int, int, int); /*proto*/
#define __Pyx_MODULE_NAME "gensim.models.word2vec_inner"
extern int __pyx_module_is_main_gensim__models__word2vec_inner;
int __pyx_module_is_main_gensim__models__word2vec_inner = 0;
/* Implementation of 'gensim.models.word2vec_inner' */
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_ImportError;
static const char __pyx_k_c[] = "c";
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_x[] = "x";
static const char __pyx_k_y[] = "y";
static const char __pyx_k__4[] = "*";
static const char __pyx_k_hs[] = "hs";
static const char __pyx_k_np[] = "np";
static const char __pyx_k_wv[] = "wv";
static const char __pyx_k_REAL[] = "REAL";
static const char __pyx_k_code[] = "code";
static const char __pyx_k_init[] = "init";
static const char __pyx_k_item[] = "item";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_name[] = "__name__";
static const char __pyx_k_neu1[] = "_neu1";
static const char __pyx_k_sdot[] = "sdot";
static const char __pyx_k_sent[] = "sent";
static const char __pyx_k_size[] = "size";
static const char __pyx_k_syn1[] = "syn1";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_work[] = "_work";
static const char __pyx_k_alpha[] = "alpha";
static const char __pyx_k_d_res[] = "d_res";
static const char __pyx_k_dsdot[] = "dsdot";
static const char __pyx_k_fblas[] = "fblas";
static const char __pyx_k_model[] = "model";
static const char __pyx_k_numpy[] = "numpy";
static const char __pyx_k_p_res[] = "p_res";
static const char __pyx_k_point[] = "point";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_saxpy[] = "saxpy";
static const char __pyx_k_scopy[] = "scopy";
static const char __pyx_k_snrm2[] = "snrm2";
static const char __pyx_k_sscal[] = "sscal";
static const char __pyx_k_token[] = "token";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_random[] = "random";
static const char __pyx_k_result[] = "result";
static const char __pyx_k_sample[] = "sample";
static const char __pyx_k_window[] = "window";
static const char __pyx_k_float32[] = "float32";
static const char __pyx_k_idx_end[] = "idx_end";
static const char __pyx_k_our_dot[] = "our_dot";
static const char __pyx_k_randint[] = "randint";
static const char __pyx_k_syn1neg[] = "syn1neg";
static const char __pyx_k_vectors[] = "vectors";
static const char __pyx_k_workers[] = "workers";
static const char __pyx_k_cpointer[] = "_cpointer";
static const char __pyx_k_expandos[] = "expandos";
static const char __pyx_k_expected[] = "expected";
static const char __pyx_k_negative[] = "negative";
static const char __pyx_k_pyx_capi[] = "__pyx_capi__";
static const char __pyx_k_sent_idx[] = "sent_idx";
static const char __pyx_k_sentence[] = "sentence";
static const char __pyx_k_EXP_TABLE[] = "EXP_TABLE";
static const char __pyx_k_cbow_mean[] = "cbow_mean";
static const char __pyx_k_cum_table[] = "cum_table";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_idx_start[] = "idx_start";
static const char __pyx_k_our_saxpy[] = "our_saxpy";
static const char __pyx_k_sentences[] = "sentences";
static const char __pyx_k_sample_int[] = "sample_int";
static const char __pyx_k_word_index[] = "word_index";
static const char __pyx_k_ImportError[] = "ImportError";
static const char __pyx_k_vector_size[] = "vector_size";
static const char __pyx_k_vocab_codes[] = "vocab_codes";
static const char __pyx_k_FAST_VERSION[] = "FAST_VERSION";
static const char __pyx_k_compute_loss[] = "compute_loss";
static const char __pyx_k_key_to_index[] = "key_to_index";
static const char __pyx_k_sentence_len[] = "sentence_len";
static const char __pyx_k_vocab_points[] = "vocab_points";
static const char __pyx_k_vectors_lockf[] = "vectors_lockf";
static const char __pyx_k_shrink_windows[] = "shrink_windows";
static const char __pyx_k_train_batch_sg[] = "train_batch_sg";
static const char __pyx_k_effective_words[] = "effective_words";
static const char __pyx_k_train_batch_cbow[] = "train_batch_cbow";
static const char __pyx_k_scipy_linalg_blas[] = "scipy.linalg.blas";
static const char __pyx_k_score_sentence_sg[] = "score_sentence_sg";
static const char __pyx_k_vocab_sample_ints[] = "vocab_sample_ints";
static const char __pyx_k_MAX_WORDS_IN_BATCH[] = "MAX_WORDS_IN_BATCH";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_effective_sentences[] = "effective_sentences";
static const char __pyx_k_score_sentence_cbow[] = "score_sentence_cbow";
static const char __pyx_k_running_training_loss[] = "running_training_loss";
static const char __pyx_k_gensim_models_word2vec_inner[] = "gensim.models.word2vec_inner";
static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import";
static const char __pyx_k_Optimized_cython_functions_for_t[] = "Optimized cython functions for training :class:`~gensim.models.word2vec.Word2Vec` model.";
static const char __pyx_k_gensim_models_word2vec_inner_pyx[] = "gensim/models/word2vec_inner.pyx";
static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import";
static PyObject *__pyx_n_s_EXP_TABLE;
static PyObject *__pyx_n_s_FAST_VERSION;
static PyObject *__pyx_n_s_ImportError;
static PyObject *__pyx_n_s_MAX_WORDS_IN_BATCH;
static PyObject *__pyx_n_s_REAL;
static PyObject *__pyx_n_s__4;
static PyObject *__pyx_n_s_alpha;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_s_cbow_mean;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_n_u_code;
static PyObject *__pyx_n_s_compute_loss;
static PyObject *__pyx_n_s_cpointer;
static PyObject *__pyx_n_s_cum_table;
static PyObject *__pyx_n_s_d_res;
static PyObject *__pyx_n_s_dsdot;
static PyObject *__pyx_n_s_effective_sentences;
static PyObject *__pyx_n_s_effective_words;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_expandos;
static PyObject *__pyx_n_s_expected;
static PyObject *__pyx_n_s_fblas;
static PyObject *__pyx_n_s_float32;
static PyObject *__pyx_n_s_gensim_models_word2vec_inner;
static PyObject *__pyx_kp_s_gensim_models_word2vec_inner_pyx;
static PyObject *__pyx_n_s_hs;
static PyObject *__pyx_n_s_i;
static PyObject *__pyx_n_s_idx_end;
static PyObject *__pyx_n_s_idx_start;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_init;
static PyObject *__pyx_n_s_item;
static PyObject *__pyx_n_s_j;
static PyObject *__pyx_n_s_k;
static PyObject *__pyx_n_s_key_to_index;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_model;
static PyObject *__pyx_n_s_name;
static PyObject *__pyx_n_s_negative;
static PyObject *__pyx_n_s_neu1;
static PyObject *__pyx_n_s_np;
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_our_dot;
static PyObject *__pyx_n_s_our_saxpy;
static PyObject *__pyx_n_s_p_res;
static PyObject *__pyx_n_u_point;
static PyObject *__pyx_n_s_pyx_capi;
static PyObject *__pyx_n_s_randint;
static PyObject *__pyx_n_s_random;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_result;
static PyObject *__pyx_n_s_running_training_loss;
static PyObject *__pyx_n_s_sample;
static PyObject *__pyx_n_u_sample_int;
static PyObject *__pyx_n_s_saxpy;
static PyObject *__pyx_n_s_scipy_linalg_blas;
static PyObject *__pyx_n_s_scopy;
static PyObject *__pyx_n_s_score_sentence_cbow;
static PyObject *__pyx_n_s_score_sentence_sg;
static PyObject *__pyx_n_s_sdot;
static PyObject *__pyx_n_s_sent;
static PyObject *__pyx_n_s_sent_idx;
static PyObject *__pyx_n_s_sentence;
static PyObject *__pyx_n_s_sentence_len;
static PyObject *__pyx_n_s_sentences;
static PyObject *__pyx_n_s_shrink_windows;
static PyObject *__pyx_n_s_size;
static PyObject *__pyx_n_s_snrm2;
static PyObject *__pyx_n_s_sscal;
static PyObject *__pyx_n_s_syn1;
static PyObject *__pyx_n_s_syn1neg;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_n_s_token;
static PyObject *__pyx_n_s_train_batch_cbow;
static PyObject *__pyx_n_s_train_batch_sg;
static PyObject *__pyx_n_s_vector_size;
static PyObject *__pyx_n_s_vectors;
static PyObject *__pyx_n_s_vectors_lockf;
static PyObject *__pyx_n_s_vocab_codes;
static PyObject *__pyx_n_s_vocab_points;
static PyObject *__pyx_n_s_vocab_sample_ints;
static PyObject *__pyx_n_s_window;
static PyObject *__pyx_n_s_word_index;
static PyObject *__pyx_n_s_work;
static PyObject *__pyx_n_s_workers;
static PyObject *__pyx_n_s_wv;
static PyObject *__pyx_n_s_x;
static PyObject *__pyx_n_s_y;
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_train_batch_sg(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_sentences, PyObject *__pyx_v_alpha, PyObject *__pyx_v__work, PyObject *__pyx_v_compute_loss); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_2train_batch_cbow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_sentences, PyObject *__pyx_v_alpha, PyObject *__pyx_v__work, PyObject *__pyx_v__neu1, PyObject *__pyx_v_compute_loss); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_4score_sentence_sg(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_sentence, PyObject *__pyx_v__work); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_6score_sentence_cbow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_sentence, PyObject *__pyx_v__work, PyObject *__pyx_v__neu1); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_8init(CYTHON_UNUSED PyObject *__pyx_self); /* proto */
static PyObject *__pyx_int_0;
static PyObject *__pyx_int_1;
static PyObject *__pyx_int_2;
static PyObject *__pyx_int_10000;
static PyObject *__pyx_int_16777216;
static PyObject *__pyx_tuple_;
static PyObject *__pyx_tuple__2;
static PyObject *__pyx_tuple__3;
static PyObject *__pyx_tuple__5;
static PyObject *__pyx_tuple__7;
static PyObject *__pyx_tuple__9;
static PyObject *__pyx_tuple__11;
static PyObject *__pyx_tuple__13;
static PyObject *__pyx_codeobj__6;
static PyObject *__pyx_codeobj__8;
static PyObject *__pyx_codeobj__10;
static PyObject *__pyx_codeobj__12;
static PyObject *__pyx_codeobj__14;
/* Late includes */
/* "gensim/models/word2vec_inner.pyx":47
*
* # for when fblas.sdot returns a double
* cdef REAL_t our_dot_double(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil: # <<<<<<<<<<<<<<
* return dsdot(N, X, incX, Y, incY)
*
*/
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_f_6gensim_6models_14word2vec_inner_our_dot_double(int const *__pyx_v_N, float const *__pyx_v_X, int const *__pyx_v_incX, float const *__pyx_v_Y, int const *__pyx_v_incY) {
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_r;
/* "gensim/models/word2vec_inner.pyx":48
* # for when fblas.sdot returns a double
* cdef REAL_t our_dot_double(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil:
* return dsdot(N, X, incX, Y, incY) # <<<<<<<<<<<<<<
*
* # for when fblas.sdot returns a float
*/
__pyx_r = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)__pyx_v_6gensim_6models_14word2vec_inner_dsdot(__pyx_v_N, __pyx_v_X, __pyx_v_incX, __pyx_v_Y, __pyx_v_incY));
goto __pyx_L0;
/* "gensim/models/word2vec_inner.pyx":47
*
* # for when fblas.sdot returns a double
* cdef REAL_t our_dot_double(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil: # <<<<<<<<<<<<<<
* return dsdot(N, X, incX, Y, incY)
*
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "gensim/models/word2vec_inner.pyx":51
*
* # for when fblas.sdot returns a float
* cdef REAL_t our_dot_float(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil: # <<<<<<<<<<<<<<
* return sdot(N, X, incX, Y, incY)
*
*/
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_f_6gensim_6models_14word2vec_inner_our_dot_float(int const *__pyx_v_N, float const *__pyx_v_X, int const *__pyx_v_incX, float const *__pyx_v_Y, int const *__pyx_v_incY) {
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_r;
/* "gensim/models/word2vec_inner.pyx":52
* # for when fblas.sdot returns a float
* cdef REAL_t our_dot_float(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil:
* return sdot(N, X, incX, Y, incY) # <<<<<<<<<<<<<<
*
* # for when no blas available
*/
__pyx_r = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)__pyx_v_6gensim_6models_14word2vec_inner_sdot(__pyx_v_N, __pyx_v_X, __pyx_v_incX, __pyx_v_Y, __pyx_v_incY));
goto __pyx_L0;
/* "gensim/models/word2vec_inner.pyx":51
*
* # for when fblas.sdot returns a float
* cdef REAL_t our_dot_float(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil: # <<<<<<<<<<<<<<
* return sdot(N, X, incX, Y, incY)
*
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "gensim/models/word2vec_inner.pyx":55
*
* # for when no blas available
* cdef REAL_t our_dot_noblas(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil: # <<<<<<<<<<<<<<
* # not a true full dot()-implementation: just enough for our cases
* cdef int i
*/
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_f_6gensim_6models_14word2vec_inner_our_dot_noblas(int const *__pyx_v_N, float const *__pyx_v_X, CYTHON_UNUSED int const *__pyx_v_incX, float const *__pyx_v_Y, CYTHON_UNUSED int const *__pyx_v_incY) {
int __pyx_v_i;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_a;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_r;
int __pyx_t_1;
/* "gensim/models/word2vec_inner.pyx":59
* cdef int i
* cdef REAL_t a
* a = 0.0 # <<<<<<<<<<<<<<
* for i from 0 <= i < N[0] by 1:
* a += X[i] * Y[i]
*/
__pyx_v_a = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
/* "gensim/models/word2vec_inner.pyx":60
* cdef REAL_t a
* a = 0.0
* for i from 0 <= i < N[0] by 1: # <<<<<<<<<<<<<<
* a += X[i] * Y[i]
* return a
*/
__pyx_t_1 = (__pyx_v_N[0]);
for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_1; __pyx_v_i+=1) {
/* "gensim/models/word2vec_inner.pyx":61
* a = 0.0
* for i from 0 <= i < N[0] by 1:
* a += X[i] * Y[i] # <<<<<<<<<<<<<<
* return a
*
*/
__pyx_v_a = (__pyx_v_a + ((__pyx_v_X[__pyx_v_i]) * (__pyx_v_Y[__pyx_v_i])));
}
/* "gensim/models/word2vec_inner.pyx":62
* for i from 0 <= i < N[0] by 1:
* a += X[i] * Y[i]
* return a # <<<<<<<<<<<<<<
*
* # for when no blas available
*/
__pyx_r = __pyx_v_a;
goto __pyx_L0;
/* "gensim/models/word2vec_inner.pyx":55
*
* # for when no blas available
* cdef REAL_t our_dot_noblas(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil: # <<<<<<<<<<<<<<
* # not a true full dot()-implementation: just enough for our cases
* cdef int i
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "gensim/models/word2vec_inner.pyx":65
*
* # for when no blas available
* cdef void our_saxpy_noblas(const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil: # <<<<<<<<<<<<<<
* cdef int i
* for i from 0 <= i < N[0] by 1:
*/
static void __pyx_f_6gensim_6models_14word2vec_inner_our_saxpy_noblas(int const *__pyx_v_N, float const *__pyx_v_alpha, float const *__pyx_v_X, int const *__pyx_v_incX, float *__pyx_v_Y, int const *__pyx_v_incY) {
int __pyx_v_i;
int __pyx_t_1;
/* "gensim/models/word2vec_inner.pyx":67
* cdef void our_saxpy_noblas(const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil:
* cdef int i
* for i from 0 <= i < N[0] by 1: # <<<<<<<<<<<<<<
* Y[i * (incY[0])] = (alpha[0]) * X[i * (incX[0])] + Y[i * (incY[0])]
*
*/
__pyx_t_1 = (__pyx_v_N[0]);
for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_1; __pyx_v_i+=1) {
/* "gensim/models/word2vec_inner.pyx":68
* cdef int i
* for i from 0 <= i < N[0] by 1:
* Y[i * (incY[0])] = (alpha[0]) * X[i * (incX[0])] + Y[i * (incY[0])] # <<<<<<<<<<<<<<
*
* cdef void w2v_fast_sentence_sg_hs(
*/
(__pyx_v_Y[(__pyx_v_i * (__pyx_v_incY[0]))]) = (((__pyx_v_alpha[0]) * (__pyx_v_X[(__pyx_v_i * (__pyx_v_incX[0]))])) + (__pyx_v_Y[(__pyx_v_i * (__pyx_v_incY[0]))]));
}
/* "gensim/models/word2vec_inner.pyx":65
*
* # for when no blas available
* cdef void our_saxpy_noblas(const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil: # <<<<<<<<<<<<<<
* cdef int i
* for i from 0 <= i < N[0] by 1:
*/
/* function exit code */
}
/* "gensim/models/word2vec_inner.pyx":70
* Y[i * (incY[0])] = (alpha[0]) * X[i * (incX[0])] + Y[i * (incY[0])]
*
* cdef void w2v_fast_sentence_sg_hs( # <<<<<<<<<<<<<<
* const np.uint32_t *word_point, const np.uint8_t *word_code, const int codelen,
* REAL_t *syn0, REAL_t *syn1, const int size,
*/
static void __pyx_f_6gensim_6models_14word2vec_inner_w2v_fast_sentence_sg_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int const __pyx_v_codelen, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_word2_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_words_lockf, __pyx_t_5numpy_uint32_t const __pyx_v_lockf_len, int const __pyx_v__compute_loss, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__running_training_loss_param) {
PY_LONG_LONG __pyx_v_b;
PY_LONG_LONG __pyx_v_row1;
PY_LONG_LONG __pyx_v_row2;
PY_LONG_LONG __pyx_v_sgn;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f_dot;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_lprob;
int __pyx_t_1;
int __pyx_t_2;
PY_LONG_LONG __pyx_t_3;
int __pyx_t_4;
int __pyx_t_5;
/* "gensim/models/word2vec_inner.pyx":111
*
* cdef long long a, b
* cdef long long row1 = word2_index * size, row2, sgn # <<<<<<<<<<<<<<
* cdef REAL_t f, g, f_dot, lprob
*
*/
__pyx_v_row1 = (((PY_LONG_LONG)__pyx_v_word2_index) * ((PY_LONG_LONG)__pyx_v_size));
/* "gensim/models/word2vec_inner.pyx":114
* cdef REAL_t f, g, f_dot, lprob
*
* memset(work, 0, size * cython.sizeof(REAL_t)) # <<<<<<<<<<<<<<
* for b in range(codelen):
* row2 = word_point[b] * size
*/
(void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
/* "gensim/models/word2vec_inner.pyx":115
*
* memset(work, 0, size * cython.sizeof(REAL_t))
* for b in range(codelen): # <<<<<<<<<<<<<<
* row2 = word_point[b] * size
* f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1[row2], &ONE)
*/
__pyx_t_1 = __pyx_v_codelen;
__pyx_t_2 = __pyx_t_1;
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_b = __pyx_t_3;
/* "gensim/models/word2vec_inner.pyx":116
* memset(work, 0, size * cython.sizeof(REAL_t))
* for b in range(codelen):
* row2 = word_point[b] * size # <<<<<<<<<<<<<<
* f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
*/
__pyx_v_row2 = (((PY_LONG_LONG)(__pyx_v_word_point[__pyx_v_b])) * ((PY_LONG_LONG)__pyx_v_size));
/* "gensim/models/word2vec_inner.pyx":117
* for b in range(codelen):
* row2 = word_point[b] * size
* f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1[row2], &ONE) # <<<<<<<<<<<<<<
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue
*/
__pyx_v_f_dot = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":118
* row2 = word_point[b] * size
* f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
__pyx_t_5 = ((__pyx_v_f_dot <= -6.0) != 0);
if (!__pyx_t_5) {
} else {
__pyx_t_4 = __pyx_t_5;
goto __pyx_L6_bool_binop_done;
}
__pyx_t_5 = ((__pyx_v_f_dot >= 6.0) != 0);
__pyx_t_4 = __pyx_t_5;
__pyx_L6_bool_binop_done:;
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":119
* f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue # <<<<<<<<<<<<<<
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* g = (1 - word_code[b] - f) * alpha
*/
goto __pyx_L3_continue;
/* "gensim/models/word2vec_inner.pyx":118
* row2 = word_point[b] * size
* f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
}
/* "gensim/models/word2vec_inner.pyx":120
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
* g = (1 - word_code[b] - f) * alpha
*
*/
__pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f_dot + 6.0) * ((0x3E8 / 6) / 2)))]);
/* "gensim/models/word2vec_inner.pyx":121
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* g = (1 - word_code[b] - f) * alpha # <<<<<<<<<<<<<<
*
* if _compute_loss == 1:
*/
__pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);
/* "gensim/models/word2vec_inner.pyx":123
* g = (1 - word_code[b] - f) * alpha
*
* if _compute_loss == 1: # <<<<<<<<<<<<<<
* sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
* lprob = sgn*f_dot
*/
__pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":124
*
* if _compute_loss == 1:
* sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1 # <<<<<<<<<<<<<<
* lprob = sgn*f_dot
* if lprob <= -MAX_EXP or lprob >= MAX_EXP:
*/
__pyx_v_sgn = __Pyx_pow_long(-1L, ((long)(__pyx_v_word_code[__pyx_v_b])));
/* "gensim/models/word2vec_inner.pyx":125
* if _compute_loss == 1:
* sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
* lprob = sgn*f_dot # <<<<<<<<<<<<<<
* if lprob <= -MAX_EXP or lprob >= MAX_EXP:
* continue
*/
__pyx_v_lprob = (__pyx_v_sgn * __pyx_v_f_dot);
/* "gensim/models/word2vec_inner.pyx":126
* sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
* lprob = sgn*f_dot
* if lprob <= -MAX_EXP or lprob >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* lprob = LOG_TABLE[((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
__pyx_t_5 = ((__pyx_v_lprob <= -6.0) != 0);
if (!__pyx_t_5) {
} else {
__pyx_t_4 = __pyx_t_5;
goto __pyx_L10_bool_binop_done;
}
__pyx_t_5 = ((__pyx_v_lprob >= 6.0) != 0);
__pyx_t_4 = __pyx_t_5;
__pyx_L10_bool_binop_done:;
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":127
* lprob = sgn*f_dot
* if lprob <= -MAX_EXP or lprob >= MAX_EXP:
* continue # <<<<<<<<<<<<<<
* lprob = LOG_TABLE[((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* _running_training_loss_param[0] = _running_training_loss_param[0] - lprob
*/
goto __pyx_L3_continue;
/* "gensim/models/word2vec_inner.pyx":126
* sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
* lprob = sgn*f_dot
* if lprob <= -MAX_EXP or lprob >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* lprob = LOG_TABLE[((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
}
/* "gensim/models/word2vec_inner.pyx":128
* if lprob <= -MAX_EXP or lprob >= MAX_EXP:
* continue
* lprob = LOG_TABLE[((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
* _running_training_loss_param[0] = _running_training_loss_param[0] - lprob
*
*/
__pyx_v_lprob = (__pyx_v_6gensim_6models_14word2vec_inner_LOG_TABLE[((int)((__pyx_v_lprob + 6.0) * ((0x3E8 / 6) / 2)))]);
/* "gensim/models/word2vec_inner.pyx":129
* continue
* lprob = LOG_TABLE[((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* _running_training_loss_param[0] = _running_training_loss_param[0] - lprob # <<<<<<<<<<<<<<
*
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
*/
(__pyx_v__running_training_loss_param[0]) = ((__pyx_v__running_training_loss_param[0]) - __pyx_v_lprob);
/* "gensim/models/word2vec_inner.pyx":123
* g = (1 - word_code[b] - f) * alpha
*
* if _compute_loss == 1: # <<<<<<<<<<<<<<
* sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
* lprob = sgn*f_dot
*/
}
/* "gensim/models/word2vec_inner.pyx":131
* _running_training_loss_param[0] = _running_training_loss_param[0] - lprob
*
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE) # <<<<<<<<<<<<<<
* our_saxpy(&size, &g, &syn0[row1], &ONE, &syn1[row2], &ONE)
*
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":132
*
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
* our_saxpy(&size, &g, &syn0[row1], &ONE, &syn1[row2], &ONE) # <<<<<<<<<<<<<<
*
* our_saxpy(&size, &words_lockf[word2_index % lockf_len], work, &ONE, &syn0[row1], &ONE)
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
__pyx_L3_continue:;
}
/* "gensim/models/word2vec_inner.pyx":134
* our_saxpy(&size, &g, &syn0[row1], &ONE, &syn1[row2], &ONE)
*
* our_saxpy(&size, &words_lockf[word2_index % lockf_len], work, &ONE, &syn0[row1], &ONE) # <<<<<<<<<<<<<<
*
*
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_words_lockf[(__pyx_v_word2_index % __pyx_v_lockf_len)])), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":70
* Y[i * (incY[0])] = (alpha[0]) * X[i * (incX[0])] + Y[i * (incY[0])]
*
* cdef void w2v_fast_sentence_sg_hs( # <<<<<<<<<<<<<<
* const np.uint32_t *word_point, const np.uint8_t *word_code, const int codelen,
* REAL_t *syn0, REAL_t *syn1, const int size,
*/
/* function exit code */
}
/* "gensim/models/word2vec_inner.pyx":138
*
* # to support random draws from negative-sampling cum_table
* cdef inline unsigned long long bisect_left(np.uint32_t *a, unsigned long long x, unsigned long long lo, unsigned long long hi) nogil: # <<<<<<<<<<<<<<
* cdef unsigned long long mid
* while hi > lo:
*/
static CYTHON_INLINE unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_t_5numpy_uint32_t *__pyx_v_a, unsigned PY_LONG_LONG __pyx_v_x, unsigned PY_LONG_LONG __pyx_v_lo, unsigned PY_LONG_LONG __pyx_v_hi) {
unsigned PY_LONG_LONG __pyx_v_mid;
unsigned PY_LONG_LONG __pyx_r;
int __pyx_t_1;
/* "gensim/models/word2vec_inner.pyx":140
* cdef inline unsigned long long bisect_left(np.uint32_t *a, unsigned long long x, unsigned long long lo, unsigned long long hi) nogil:
* cdef unsigned long long mid
* while hi > lo: # <<<<<<<<<<<<<<
* mid = (lo + hi) >> 1
* if a[mid] >= x:
*/
while (1) {
__pyx_t_1 = ((__pyx_v_hi > __pyx_v_lo) != 0);
if (!__pyx_t_1) break;
/* "gensim/models/word2vec_inner.pyx":141
* cdef unsigned long long mid
* while hi > lo:
* mid = (lo + hi) >> 1 # <<<<<<<<<<<<<<
* if a[mid] >= x:
* hi = mid
*/
__pyx_v_mid = ((__pyx_v_lo + __pyx_v_hi) >> 1);
/* "gensim/models/word2vec_inner.pyx":142
* while hi > lo:
* mid = (lo + hi) >> 1
* if a[mid] >= x: # <<<<<<<<<<<<<<
* hi = mid
* else:
*/
__pyx_t_1 = (((__pyx_v_a[__pyx_v_mid]) >= __pyx_v_x) != 0);
if (__pyx_t_1) {
/* "gensim/models/word2vec_inner.pyx":143
* mid = (lo + hi) >> 1
* if a[mid] >= x:
* hi = mid # <<<<<<<<<<<<<<
* else:
* lo = mid + 1
*/
__pyx_v_hi = __pyx_v_mid;
/* "gensim/models/word2vec_inner.pyx":142
* while hi > lo:
* mid = (lo + hi) >> 1
* if a[mid] >= x: # <<<<<<<<<<<<<<
* hi = mid
* else:
*/
goto __pyx_L5;
}
/* "gensim/models/word2vec_inner.pyx":145
* hi = mid
* else:
* lo = mid + 1 # <<<<<<<<<<<<<<
* return lo
*
*/
/*else*/ {
__pyx_v_lo = (__pyx_v_mid + 1);
}
__pyx_L5:;
}
/* "gensim/models/word2vec_inner.pyx":146
* else:
* lo = mid + 1
* return lo # <<<<<<<<<<<<<<
*
* # this quick & dirty RNG apparently matches Java's (non-Secure)Random
*/
__pyx_r = __pyx_v_lo;
goto __pyx_L0;
/* "gensim/models/word2vec_inner.pyx":138
*
* # to support random draws from negative-sampling cum_table
* cdef inline unsigned long long bisect_left(np.uint32_t *a, unsigned long long x, unsigned long long lo, unsigned long long hi) nogil: # <<<<<<<<<<<<<<
* cdef unsigned long long mid
* while hi > lo:
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "gensim/models/word2vec_inner.pyx":150
* # this quick & dirty RNG apparently matches Java's (non-Secure)Random
* # note this function side-effects next_random to set up the next number
* cdef inline unsigned long long random_int32(unsigned long long *next_random) nogil: # <<<<<<<<<<<<<<
* cdef unsigned long long this_random = next_random[0] >> 16
* next_random[0] = (next_random[0] * 25214903917ULL + 11) & 281474976710655ULL
*/
static CYTHON_INLINE unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_random_int32(unsigned PY_LONG_LONG *__pyx_v_next_random) {
unsigned PY_LONG_LONG __pyx_v_this_random;
unsigned PY_LONG_LONG __pyx_r;
/* "gensim/models/word2vec_inner.pyx":151
* # note this function side-effects next_random to set up the next number
* cdef inline unsigned long long random_int32(unsigned long long *next_random) nogil:
* cdef unsigned long long this_random = next_random[0] >> 16 # <<<<<<<<<<<<<<
* next_random[0] = (next_random[0] * 25214903917ULL + 11) & 281474976710655ULL
* return this_random
*/
__pyx_v_this_random = ((__pyx_v_next_random[0]) >> 16);
/* "gensim/models/word2vec_inner.pyx":152
* cdef inline unsigned long long random_int32(unsigned long long *next_random) nogil:
* cdef unsigned long long this_random = next_random[0] >> 16
* next_random[0] = (next_random[0] * 25214903917ULL + 11) & 281474976710655ULL # <<<<<<<<<<<<<<
* return this_random
*
*/
(__pyx_v_next_random[0]) = ((((__pyx_v_next_random[0]) * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & 281474976710655ULL);
/* "gensim/models/word2vec_inner.pyx":153
* cdef unsigned long long this_random = next_random[0] >> 16
* next_random[0] = (next_random[0] * 25214903917ULL + 11) & 281474976710655ULL
* return this_random # <<<<<<<<<<<<<<
*
* cdef unsigned long long w2v_fast_sentence_sg_neg(
*/
__pyx_r = __pyx_v_this_random;
goto __pyx_L0;
/* "gensim/models/word2vec_inner.pyx":150
* # this quick & dirty RNG apparently matches Java's (non-Secure)Random
* # note this function side-effects next_random to set up the next number
* cdef inline unsigned long long random_int32(unsigned long long *next_random) nogil: # <<<<<<<<<<<<<<
* cdef unsigned long long this_random = next_random[0] >> 16
* next_random[0] = (next_random[0] * 25214903917ULL + 11) & 281474976710655ULL
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "gensim/models/word2vec_inner.pyx":155
* return this_random
*
* cdef unsigned long long w2v_fast_sentence_sg_neg( # <<<<<<<<<<<<<<
* const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
* REAL_t *syn0, REAL_t *syn1neg, const int size, const np.uint32_t word_index,
*/
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_w2v_fast_sentence_sg_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_word_index, __pyx_t_5numpy_uint32_t const __pyx_v_word2_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_words_lockf, __pyx_t_5numpy_uint32_t const __pyx_v_lockf_len, int const __pyx_v__compute_loss, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__running_training_loss_param) {
PY_LONG_LONG __pyx_v_row1;
PY_LONG_LONG __pyx_v_row2;
unsigned PY_LONG_LONG __pyx_v_modulo;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f_dot;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_log_e_f_dot;
__pyx_t_5numpy_uint32_t __pyx_v_target_index;
int __pyx_v_d;
unsigned PY_LONG_LONG __pyx_r;
long __pyx_t_1;
long __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
int __pyx_t_5;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_t_6;
/* "gensim/models/word2vec_inner.pyx":205
* """
* cdef long long a
* cdef long long row1 = word2_index * size, row2 # <<<<<<<<<<<<<<
* cdef unsigned long long modulo = 281474976710655ULL
* cdef REAL_t f, g, label, f_dot, log_e_f_dot
*/
__pyx_v_row1 = (((PY_LONG_LONG)__pyx_v_word2_index) * ((PY_LONG_LONG)__pyx_v_size));
/* "gensim/models/word2vec_inner.pyx":206
* cdef long long a
* cdef long long row1 = word2_index * size, row2
* cdef unsigned long long modulo = 281474976710655ULL # <<<<<<<<<<<<<<
* cdef REAL_t f, g, label, f_dot, log_e_f_dot
* cdef np.uint32_t target_index
*/
__pyx_v_modulo = 281474976710655ULL;
/* "gensim/models/word2vec_inner.pyx":211
* cdef int d
*
* memset(work, 0, size * cython.sizeof(REAL_t)) # <<<<<<<<<<<<<<
*
* for d in range(negative+1):
*/
(void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
/* "gensim/models/word2vec_inner.pyx":213
* memset(work, 0, size * cython.sizeof(REAL_t))
*
* for d in range(negative+1): # <<<<<<<<<<<<<<
* if d == 0:
* target_index = word_index
*/
__pyx_t_1 = (__pyx_v_negative + 1);
__pyx_t_2 = __pyx_t_1;
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_d = __pyx_t_3;
/* "gensim/models/word2vec_inner.pyx":214
*
* for d in range(negative+1):
* if d == 0: # <<<<<<<<<<<<<<
* target_index = word_index
* label = ONEF
*/
__pyx_t_4 = ((__pyx_v_d == 0) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":215
* for d in range(negative+1):
* if d == 0:
* target_index = word_index # <<<<<<<<<<<<<<
* label = ONEF
* else:
*/
__pyx_v_target_index = __pyx_v_word_index;
/* "gensim/models/word2vec_inner.pyx":216
* if d == 0:
* target_index = word_index
* label = ONEF # <<<<<<<<<<<<<<
* else:
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
*/
__pyx_v_label = __pyx_v_6gensim_6models_14word2vec_inner_ONEF;
/* "gensim/models/word2vec_inner.pyx":214
*
* for d in range(negative+1):
* if d == 0: # <<<<<<<<<<<<<<
* target_index = word_index
* label = ONEF
*/
goto __pyx_L5;
}
/* "gensim/models/word2vec_inner.pyx":218
* label = ONEF
* else:
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len) # <<<<<<<<<<<<<<
* next_random = (next_random * 25214903917ULL + 11) & modulo
* if target_index == word_index:
*/
/*else*/ {
__pyx_v_target_index = __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_v_cum_table, ((__pyx_v_next_random >> 16) % (__pyx_v_cum_table[(__pyx_v_cum_table_len - 1)])), 0, __pyx_v_cum_table_len);
/* "gensim/models/word2vec_inner.pyx":219
* else:
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
* next_random = (next_random * 25214903917ULL + 11) & modulo # <<<<<<<<<<<<<<
* if target_index == word_index:
* continue
*/
__pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);
/* "gensim/models/word2vec_inner.pyx":220
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
* next_random = (next_random * 25214903917ULL + 11) & modulo
* if target_index == word_index: # <<<<<<<<<<<<<<
* continue
* label = 0.0
*/
__pyx_t_4 = ((__pyx_v_target_index == __pyx_v_word_index) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":221
* next_random = (next_random * 25214903917ULL + 11) & modulo
* if target_index == word_index:
* continue # <<<<<<<<<<<<<<
* label = 0.0
*
*/
goto __pyx_L3_continue;
/* "gensim/models/word2vec_inner.pyx":220
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
* next_random = (next_random * 25214903917ULL + 11) & modulo
* if target_index == word_index: # <<<<<<<<<<<<<<
* continue
* label = 0.0
*/
}
/* "gensim/models/word2vec_inner.pyx":222
* if target_index == word_index:
* continue
* label = 0.0 # <<<<<<<<<<<<<<
*
* row2 = target_index * size
*/
__pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
}
__pyx_L5:;
/* "gensim/models/word2vec_inner.pyx":224
* label = 0.0
*
* row2 = target_index * size # <<<<<<<<<<<<<<
* f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1neg[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
*/
__pyx_v_row2 = (((PY_LONG_LONG)__pyx_v_target_index) * ((PY_LONG_LONG)__pyx_v_size));
/* "gensim/models/word2vec_inner.pyx":225
*
* row2 = target_index * size
* f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1neg[row2], &ONE) # <<<<<<<<<<<<<<
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue
*/
__pyx_v_f_dot = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":226
* row2 = target_index * size
* f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1neg[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
__pyx_t_5 = ((__pyx_v_f_dot <= -6.0) != 0);
if (!__pyx_t_5) {
} else {
__pyx_t_4 = __pyx_t_5;
goto __pyx_L8_bool_binop_done;
}
__pyx_t_5 = ((__pyx_v_f_dot >= 6.0) != 0);
__pyx_t_4 = __pyx_t_5;
__pyx_L8_bool_binop_done:;
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":227
* f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1neg[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue # <<<<<<<<<<<<<<
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* g = (label - f) * alpha
*/
goto __pyx_L3_continue;
/* "gensim/models/word2vec_inner.pyx":226
* row2 = target_index * size
* f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1neg[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
}
/* "gensim/models/word2vec_inner.pyx":228
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
* g = (label - f) * alpha
*
*/
__pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f_dot + 6.0) * ((0x3E8 / 6) / 2)))]);
/* "gensim/models/word2vec_inner.pyx":229
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* g = (label - f) * alpha # <<<<<<<<<<<<<<
*
* if _compute_loss == 1:
*/
__pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);
/* "gensim/models/word2vec_inner.pyx":231
* g = (label - f) * alpha
*
* if _compute_loss == 1: # <<<<<<<<<<<<<<
* f_dot = (f_dot if d == 0 else -f_dot)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
*/
__pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":232
*
* if _compute_loss == 1:
* f_dot = (f_dot if d == 0 else -f_dot) # <<<<<<<<<<<<<<
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue
*/
if (((__pyx_v_d == 0) != 0)) {
__pyx_t_6 = __pyx_v_f_dot;
} else {
__pyx_t_6 = (-__pyx_v_f_dot);
}
__pyx_v_f_dot = __pyx_t_6;
/* "gensim/models/word2vec_inner.pyx":233
* if _compute_loss == 1:
* f_dot = (f_dot if d == 0 else -f_dot)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* log_e_f_dot = LOG_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
__pyx_t_5 = ((__pyx_v_f_dot <= -6.0) != 0);
if (!__pyx_t_5) {
} else {
__pyx_t_4 = __pyx_t_5;
goto __pyx_L12_bool_binop_done;
}
__pyx_t_5 = ((__pyx_v_f_dot >= 6.0) != 0);
__pyx_t_4 = __pyx_t_5;
__pyx_L12_bool_binop_done:;
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":234
* f_dot = (f_dot if d == 0 else -f_dot)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue # <<<<<<<<<<<<<<
* log_e_f_dot = LOG_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* _running_training_loss_param[0] = _running_training_loss_param[0] - log_e_f_dot
*/
goto __pyx_L3_continue;
/* "gensim/models/word2vec_inner.pyx":233
* if _compute_loss == 1:
* f_dot = (f_dot if d == 0 else -f_dot)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* log_e_f_dot = LOG_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
}
/* "gensim/models/word2vec_inner.pyx":235
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue
* log_e_f_dot = LOG_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
* _running_training_loss_param[0] = _running_training_loss_param[0] - log_e_f_dot
*
*/
__pyx_v_log_e_f_dot = (__pyx_v_6gensim_6models_14word2vec_inner_LOG_TABLE[((int)((__pyx_v_f_dot + 6.0) * ((0x3E8 / 6) / 2)))]);
/* "gensim/models/word2vec_inner.pyx":236
* continue
* log_e_f_dot = LOG_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* _running_training_loss_param[0] = _running_training_loss_param[0] - log_e_f_dot # <<<<<<<<<<<<<<
*
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
*/
(__pyx_v__running_training_loss_param[0]) = ((__pyx_v__running_training_loss_param[0]) - __pyx_v_log_e_f_dot);
/* "gensim/models/word2vec_inner.pyx":231
* g = (label - f) * alpha
*
* if _compute_loss == 1: # <<<<<<<<<<<<<<
* f_dot = (f_dot if d == 0 else -f_dot)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
*/
}
/* "gensim/models/word2vec_inner.pyx":238
* _running_training_loss_param[0] = _running_training_loss_param[0] - log_e_f_dot
*
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE) # <<<<<<<<<<<<<<
* our_saxpy(&size, &g, &syn0[row1], &ONE, &syn1neg[row2], &ONE)
*
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":239
*
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
* our_saxpy(&size, &g, &syn0[row1], &ONE, &syn1neg[row2], &ONE) # <<<<<<<<<<<<<<
*
* our_saxpy(&size, &words_lockf[word2_index % lockf_len], work, &ONE, &syn0[row1], &ONE)
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
__pyx_L3_continue:;
}
/* "gensim/models/word2vec_inner.pyx":241
* our_saxpy(&size, &g, &syn0[row1], &ONE, &syn1neg[row2], &ONE)
*
* our_saxpy(&size, &words_lockf[word2_index % lockf_len], work, &ONE, &syn0[row1], &ONE) # <<<<<<<<<<<<<<
*
* return next_random
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_words_lockf[(__pyx_v_word2_index % __pyx_v_lockf_len)])), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":243
* our_saxpy(&size, &words_lockf[word2_index % lockf_len], work, &ONE, &syn0[row1], &ONE)
*
* return next_random # <<<<<<<<<<<<<<
*
*
*/
__pyx_r = __pyx_v_next_random;
goto __pyx_L0;
/* "gensim/models/word2vec_inner.pyx":155
* return this_random
*
* cdef unsigned long long w2v_fast_sentence_sg_neg( # <<<<<<<<<<<<<<
* const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
* REAL_t *syn0, REAL_t *syn1neg, const int size, const np.uint32_t word_index,
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "gensim/models/word2vec_inner.pyx":246
*
*
* cdef void w2v_fast_sentence_cbow_hs( # <<<<<<<<<<<<<<
* const np.uint32_t *word_point, const np.uint8_t *word_code, int codelens[MAX_SENTENCE_LEN],
* REAL_t *neu1, REAL_t *syn0, REAL_t *syn1, const int size,
*/
static void __pyx_f_6gensim_6models_14word2vec_inner_w2v_fast_sentence_cbow_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int *__pyx_v_codelens, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const *__pyx_v_indexes, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int __pyx_v_i, int __pyx_v_j, int __pyx_v_k, int __pyx_v_cbow_mean, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_words_lockf, __pyx_t_5numpy_uint32_t const __pyx_v_lockf_len, int const __pyx_v__compute_loss, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__running_training_loss_param) {
PY_LONG_LONG __pyx_v_b;
PY_LONG_LONG __pyx_v_row2;
PY_LONG_LONG __pyx_v_sgn;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_count;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_inv_count;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f_dot;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_lprob;
int __pyx_v_m;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
PY_LONG_LONG __pyx_t_5;
int __pyx_t_6;
/* "gensim/models/word2vec_inner.pyx":298
* cdef long long a, b
* cdef long long row2, sgn
* cdef REAL_t f, g, count, inv_count = 1.0, f_dot, lprob # <<<<<<<<<<<<<<
* cdef int m
*
*/
__pyx_v_inv_count = 1.0;
/* "gensim/models/word2vec_inner.pyx":301
* cdef int m
*
* memset(neu1, 0, size * cython.sizeof(REAL_t)) # <<<<<<<<<<<<<<
* count = 0.0
* for m in range(j, k):
*/
(void)(memset(__pyx_v_neu1, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
/* "gensim/models/word2vec_inner.pyx":302
*
* memset(neu1, 0, size * cython.sizeof(REAL_t))
* count = 0.0 # <<<<<<<<<<<<<<
* for m in range(j, k):
* if m == i:
*/
__pyx_v_count = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
/* "gensim/models/word2vec_inner.pyx":303
* memset(neu1, 0, size * cython.sizeof(REAL_t))
* count = 0.0
* for m in range(j, k): # <<<<<<<<<<<<<<
* if m == i:
* continue
*/
__pyx_t_1 = __pyx_v_k;
__pyx_t_2 = __pyx_t_1;
for (__pyx_t_3 = __pyx_v_j; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_m = __pyx_t_3;
/* "gensim/models/word2vec_inner.pyx":304
* count = 0.0
* for m in range(j, k):
* if m == i: # <<<<<<<<<<<<<<
* continue
* else:
*/
__pyx_t_4 = ((__pyx_v_m == __pyx_v_i) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":305
* for m in range(j, k):
* if m == i:
* continue # <<<<<<<<<<<<<<
* else:
* count += ONEF
*/
goto __pyx_L3_continue;
/* "gensim/models/word2vec_inner.pyx":304
* count = 0.0
* for m in range(j, k):
* if m == i: # <<<<<<<<<<<<<<
* continue
* else:
*/
}
/* "gensim/models/word2vec_inner.pyx":307
* continue
* else:
* count += ONEF # <<<<<<<<<<<<<<
* our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
* if count > (0.5):
*/
/*else*/ {
__pyx_v_count = (__pyx_v_count + __pyx_v_6gensim_6models_14word2vec_inner_ONEF);
/* "gensim/models/word2vec_inner.pyx":308
* else:
* count += ONEF
* our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE) # <<<<<<<<<<<<<<
* if count > (0.5):
* inv_count = ONEF/count
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_6gensim_6models_14word2vec_inner_ONEF), (&(__pyx_v_syn0[(((PY_LONG_LONG)(__pyx_v_indexes[__pyx_v_m])) * ((PY_LONG_LONG)__pyx_v_size))])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
}
__pyx_L3_continue:;
}
/* "gensim/models/word2vec_inner.pyx":309
* count += ONEF
* our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
* if count > (0.5): # <<<<<<<<<<<<<<
* inv_count = ONEF/count
* if cbow_mean:
*/
__pyx_t_4 = ((__pyx_v_count > ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.5)) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":310
* our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
* if count > (0.5):
* inv_count = ONEF/count # <<<<<<<<<<<<<<
* if cbow_mean:
* sscal(&size, &inv_count, neu1, &ONE) # (does this need BLAS-variants like saxpy?)
*/
__pyx_v_inv_count = (__pyx_v_6gensim_6models_14word2vec_inner_ONEF / __pyx_v_count);
/* "gensim/models/word2vec_inner.pyx":309
* count += ONEF
* our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
* if count > (0.5): # <<<<<<<<<<<<<<
* inv_count = ONEF/count
* if cbow_mean:
*/
}
/* "gensim/models/word2vec_inner.pyx":311
* if count > (0.5):
* inv_count = ONEF/count
* if cbow_mean: # <<<<<<<<<<<<<<
* sscal(&size, &inv_count, neu1, &ONE) # (does this need BLAS-variants like saxpy?)
*
*/
__pyx_t_4 = (__pyx_v_cbow_mean != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":312
* inv_count = ONEF/count
* if cbow_mean:
* sscal(&size, &inv_count, neu1, &ONE) # (does this need BLAS-variants like saxpy?) # <<<<<<<<<<<<<<
*
* memset(work, 0, size * cython.sizeof(REAL_t))
*/
__pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_inv_count), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":311
* if count > (0.5):
* inv_count = ONEF/count
* if cbow_mean: # <<<<<<<<<<<<<<
* sscal(&size, &inv_count, neu1, &ONE) # (does this need BLAS-variants like saxpy?)
*
*/
}
/* "gensim/models/word2vec_inner.pyx":314
* sscal(&size, &inv_count, neu1, &ONE) # (does this need BLAS-variants like saxpy?)
*
* memset(work, 0, size * cython.sizeof(REAL_t)) # <<<<<<<<<<<<<<
* for b in range(codelens[i]):
* row2 = word_point[b] * size
*/
(void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
/* "gensim/models/word2vec_inner.pyx":315
*
* memset(work, 0, size * cython.sizeof(REAL_t))
* for b in range(codelens[i]): # <<<<<<<<<<<<<<
* row2 = word_point[b] * size
* f_dot = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
*/
__pyx_t_1 = (__pyx_v_codelens[__pyx_v_i]);
__pyx_t_2 = __pyx_t_1;
for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_2; __pyx_t_5+=1) {
__pyx_v_b = __pyx_t_5;
/* "gensim/models/word2vec_inner.pyx":316
* memset(work, 0, size * cython.sizeof(REAL_t))
* for b in range(codelens[i]):
* row2 = word_point[b] * size # <<<<<<<<<<<<<<
* f_dot = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
*/
__pyx_v_row2 = (((PY_LONG_LONG)(__pyx_v_word_point[__pyx_v_b])) * ((PY_LONG_LONG)__pyx_v_size));
/* "gensim/models/word2vec_inner.pyx":317
* for b in range(codelens[i]):
* row2 = word_point[b] * size
* f_dot = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE) # <<<<<<<<<<<<<<
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue
*/
__pyx_v_f_dot = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":318
* row2 = word_point[b] * size
* f_dot = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
__pyx_t_6 = ((__pyx_v_f_dot <= -6.0) != 0);
if (!__pyx_t_6) {
} else {
__pyx_t_4 = __pyx_t_6;
goto __pyx_L11_bool_binop_done;
}
__pyx_t_6 = ((__pyx_v_f_dot >= 6.0) != 0);
__pyx_t_4 = __pyx_t_6;
__pyx_L11_bool_binop_done:;
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":319
* f_dot = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue # <<<<<<<<<<<<<<
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* g = (1 - word_code[b] - f) * alpha
*/
goto __pyx_L8_continue;
/* "gensim/models/word2vec_inner.pyx":318
* row2 = word_point[b] * size
* f_dot = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
}
/* "gensim/models/word2vec_inner.pyx":320
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
* g = (1 - word_code[b] - f) * alpha
*
*/
__pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f_dot + 6.0) * ((0x3E8 / 6) / 2)))]);
/* "gensim/models/word2vec_inner.pyx":321
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* g = (1 - word_code[b] - f) * alpha # <<<<<<<<<<<<<<
*
* if _compute_loss == 1:
*/
__pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);
/* "gensim/models/word2vec_inner.pyx":323
* g = (1 - word_code[b] - f) * alpha
*
* if _compute_loss == 1: # <<<<<<<<<<<<<<
* sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
* lprob = sgn*f_dot
*/
__pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":324
*
* if _compute_loss == 1:
* sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1 # <<<<<<<<<<<<<<
* lprob = sgn*f_dot
* if lprob <= -MAX_EXP or lprob >= MAX_EXP:
*/
__pyx_v_sgn = __Pyx_pow_long(-1L, ((long)(__pyx_v_word_code[__pyx_v_b])));
/* "gensim/models/word2vec_inner.pyx":325
* if _compute_loss == 1:
* sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
* lprob = sgn*f_dot # <<<<<<<<<<<<<<
* if lprob <= -MAX_EXP or lprob >= MAX_EXP:
* continue
*/
__pyx_v_lprob = (__pyx_v_sgn * __pyx_v_f_dot);
/* "gensim/models/word2vec_inner.pyx":326
* sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
* lprob = sgn*f_dot
* if lprob <= -MAX_EXP or lprob >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* lprob = LOG_TABLE[((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
__pyx_t_6 = ((__pyx_v_lprob <= -6.0) != 0);
if (!__pyx_t_6) {
} else {
__pyx_t_4 = __pyx_t_6;
goto __pyx_L15_bool_binop_done;
}
__pyx_t_6 = ((__pyx_v_lprob >= 6.0) != 0);
__pyx_t_4 = __pyx_t_6;
__pyx_L15_bool_binop_done:;
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":327
* lprob = sgn*f_dot
* if lprob <= -MAX_EXP or lprob >= MAX_EXP:
* continue # <<<<<<<<<<<<<<
* lprob = LOG_TABLE[((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* _running_training_loss_param[0] = _running_training_loss_param[0] - lprob
*/
goto __pyx_L8_continue;
/* "gensim/models/word2vec_inner.pyx":326
* sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
* lprob = sgn*f_dot
* if lprob <= -MAX_EXP or lprob >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* lprob = LOG_TABLE[((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
}
/* "gensim/models/word2vec_inner.pyx":328
* if lprob <= -MAX_EXP or lprob >= MAX_EXP:
* continue
* lprob = LOG_TABLE[((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
* _running_training_loss_param[0] = _running_training_loss_param[0] - lprob
*
*/
__pyx_v_lprob = (__pyx_v_6gensim_6models_14word2vec_inner_LOG_TABLE[((int)((__pyx_v_lprob + 6.0) * ((0x3E8 / 6) / 2)))]);
/* "gensim/models/word2vec_inner.pyx":329
* continue
* lprob = LOG_TABLE[((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* _running_training_loss_param[0] = _running_training_loss_param[0] - lprob # <<<<<<<<<<<<<<
*
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
*/
(__pyx_v__running_training_loss_param[0]) = ((__pyx_v__running_training_loss_param[0]) - __pyx_v_lprob);
/* "gensim/models/word2vec_inner.pyx":323
* g = (1 - word_code[b] - f) * alpha
*
* if _compute_loss == 1: # <<<<<<<<<<<<<<
* sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
* lprob = sgn*f_dot
*/
}
/* "gensim/models/word2vec_inner.pyx":331
* _running_training_loss_param[0] = _running_training_loss_param[0] - lprob
*
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE) # <<<<<<<<<<<<<<
* our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
*
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":332
*
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
* our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE) # <<<<<<<<<<<<<<
*
* if not cbow_mean: # divide error over summed window vectors
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
__pyx_L8_continue:;
}
/* "gensim/models/word2vec_inner.pyx":334
* our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
*
* if not cbow_mean: # divide error over summed window vectors # <<<<<<<<<<<<<<
* sscal(&size, &inv_count, work, &ONE) # (does this need BLAS-variants like saxpy?)
*
*/
__pyx_t_4 = ((!(__pyx_v_cbow_mean != 0)) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":335
*
* if not cbow_mean: # divide error over summed window vectors
* sscal(&size, &inv_count, work, &ONE) # (does this need BLAS-variants like saxpy?) # <<<<<<<<<<<<<<
*
* for m in range(j, k):
*/
__pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_inv_count), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":334
* our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
*
* if not cbow_mean: # divide error over summed window vectors # <<<<<<<<<<<<<<
* sscal(&size, &inv_count, work, &ONE) # (does this need BLAS-variants like saxpy?)
*
*/
}
/* "gensim/models/word2vec_inner.pyx":337
* sscal(&size, &inv_count, work, &ONE) # (does this need BLAS-variants like saxpy?)
*
* for m in range(j, k): # <<<<<<<<<<<<<<
* if m == i:
* continue
*/
__pyx_t_1 = __pyx_v_k;
__pyx_t_2 = __pyx_t_1;
for (__pyx_t_3 = __pyx_v_j; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_m = __pyx_t_3;
/* "gensim/models/word2vec_inner.pyx":338
*
* for m in range(j, k):
* if m == i: # <<<<<<<<<<<<<<
* continue
* else:
*/
__pyx_t_4 = ((__pyx_v_m == __pyx_v_i) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":339
* for m in range(j, k):
* if m == i:
* continue # <<<<<<<<<<<<<<
* else:
* our_saxpy(&size, &words_lockf[indexes[m] % lockf_len], work, &ONE, &syn0[indexes[m] * size], &ONE)
*/
goto __pyx_L18_continue;
/* "gensim/models/word2vec_inner.pyx":338
*
* for m in range(j, k):
* if m == i: # <<<<<<<<<<<<<<
* continue
* else:
*/
}
/* "gensim/models/word2vec_inner.pyx":341
* continue
* else:
* our_saxpy(&size, &words_lockf[indexes[m] % lockf_len], work, &ONE, &syn0[indexes[m] * size], &ONE) # <<<<<<<<<<<<<<
*
*
*/
/*else*/ {
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_words_lockf[((__pyx_v_indexes[__pyx_v_m]) % __pyx_v_lockf_len)])), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn0[(((PY_LONG_LONG)(__pyx_v_indexes[__pyx_v_m])) * ((PY_LONG_LONG)__pyx_v_size))])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
}
__pyx_L18_continue:;
}
/* "gensim/models/word2vec_inner.pyx":246
*
*
* cdef void w2v_fast_sentence_cbow_hs( # <<<<<<<<<<<<<<
* const np.uint32_t *word_point, const np.uint8_t *word_code, int codelens[MAX_SENTENCE_LEN],
* REAL_t *neu1, REAL_t *syn0, REAL_t *syn1, const int size,
*/
/* function exit code */
}
/* "gensim/models/word2vec_inner.pyx":344
*
*
* cdef unsigned long long w2v_fast_sentence_cbow_neg( # <<<<<<<<<<<<<<
* const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, int codelens[MAX_SENTENCE_LEN],
* REAL_t *neu1, REAL_t *syn0, REAL_t *syn1neg, const int size,
*/
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_w2v_fast_sentence_cbow_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, CYTHON_UNUSED int *__pyx_v_codelens, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const *__pyx_v_indexes, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int __pyx_v_i, int __pyx_v_j, int __pyx_v_k, int __pyx_v_cbow_mean, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_words_lockf, __pyx_t_5numpy_uint32_t const __pyx_v_lockf_len, int const __pyx_v__compute_loss, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__running_training_loss_param) {
PY_LONG_LONG __pyx_v_row2;
unsigned PY_LONG_LONG __pyx_v_modulo;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_count;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_inv_count;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_log_e_f_dot;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f_dot;
__pyx_t_5numpy_uint32_t __pyx_v_target_index;
__pyx_t_5numpy_uint32_t __pyx_v_word_index;
int __pyx_v_d;
int __pyx_v_m;
unsigned PY_LONG_LONG __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
long __pyx_t_5;
long __pyx_t_6;
int __pyx_t_7;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_t_8;
/* "gensim/models/word2vec_inner.pyx":401
* cdef long long a
* cdef long long row2
* cdef unsigned long long modulo = 281474976710655ULL # <<<<<<<<<<<<<<
* cdef REAL_t f, g, count, inv_count = 1.0, label, log_e_f_dot, f_dot
* cdef np.uint32_t target_index, word_index
*/
__pyx_v_modulo = 281474976710655ULL;
/* "gensim/models/word2vec_inner.pyx":402
* cdef long long row2
* cdef unsigned long long modulo = 281474976710655ULL
* cdef REAL_t f, g, count, inv_count = 1.0, label, log_e_f_dot, f_dot # <<<<<<<<<<<<<<
* cdef np.uint32_t target_index, word_index
* cdef int d, m
*/
__pyx_v_inv_count = 1.0;
/* "gensim/models/word2vec_inner.pyx":406
* cdef int d, m
*
* word_index = indexes[i] # <<<<<<<<<<<<<<
*
* memset(neu1, 0, size * cython.sizeof(REAL_t))
*/
__pyx_v_word_index = (__pyx_v_indexes[__pyx_v_i]);
/* "gensim/models/word2vec_inner.pyx":408
* word_index = indexes[i]
*
* memset(neu1, 0, size * cython.sizeof(REAL_t)) # <<<<<<<<<<<<<<
* count = 0.0
* for m in range(j, k):
*/
(void)(memset(__pyx_v_neu1, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
/* "gensim/models/word2vec_inner.pyx":409
*
* memset(neu1, 0, size * cython.sizeof(REAL_t))
* count = 0.0 # <<<<<<<<<<<<<<
* for m in range(j, k):
* if m == i:
*/
__pyx_v_count = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
/* "gensim/models/word2vec_inner.pyx":410
* memset(neu1, 0, size * cython.sizeof(REAL_t))
* count = 0.0
* for m in range(j, k): # <<<<<<<<<<<<<<
* if m == i:
* continue
*/
__pyx_t_1 = __pyx_v_k;
__pyx_t_2 = __pyx_t_1;
for (__pyx_t_3 = __pyx_v_j; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_m = __pyx_t_3;
/* "gensim/models/word2vec_inner.pyx":411
* count = 0.0
* for m in range(j, k):
* if m == i: # <<<<<<<<<<<<<<
* continue
* else:
*/
__pyx_t_4 = ((__pyx_v_m == __pyx_v_i) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":412
* for m in range(j, k):
* if m == i:
* continue # <<<<<<<<<<<<<<
* else:
* count += ONEF
*/
goto __pyx_L3_continue;
/* "gensim/models/word2vec_inner.pyx":411
* count = 0.0
* for m in range(j, k):
* if m == i: # <<<<<<<<<<<<<<
* continue
* else:
*/
}
/* "gensim/models/word2vec_inner.pyx":414
* continue
* else:
* count += ONEF # <<<<<<<<<<<<<<
* our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
* if count > (0.5):
*/
/*else*/ {
__pyx_v_count = (__pyx_v_count + __pyx_v_6gensim_6models_14word2vec_inner_ONEF);
/* "gensim/models/word2vec_inner.pyx":415
* else:
* count += ONEF
* our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE) # <<<<<<<<<<<<<<
* if count > (0.5):
* inv_count = ONEF/count
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_6gensim_6models_14word2vec_inner_ONEF), (&(__pyx_v_syn0[(((PY_LONG_LONG)(__pyx_v_indexes[__pyx_v_m])) * ((PY_LONG_LONG)__pyx_v_size))])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
}
__pyx_L3_continue:;
}
/* "gensim/models/word2vec_inner.pyx":416
* count += ONEF
* our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
* if count > (0.5): # <<<<<<<<<<<<<<
* inv_count = ONEF/count
* if cbow_mean:
*/
__pyx_t_4 = ((__pyx_v_count > ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.5)) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":417
* our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
* if count > (0.5):
* inv_count = ONEF/count # <<<<<<<<<<<<<<
* if cbow_mean:
* sscal(&size, &inv_count, neu1, &ONE) # (does this need BLAS-variants like saxpy?)
*/
__pyx_v_inv_count = (__pyx_v_6gensim_6models_14word2vec_inner_ONEF / __pyx_v_count);
/* "gensim/models/word2vec_inner.pyx":416
* count += ONEF
* our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
* if count > (0.5): # <<<<<<<<<<<<<<
* inv_count = ONEF/count
* if cbow_mean:
*/
}
/* "gensim/models/word2vec_inner.pyx":418
* if count > (0.5):
* inv_count = ONEF/count
* if cbow_mean: # <<<<<<<<<<<<<<
* sscal(&size, &inv_count, neu1, &ONE) # (does this need BLAS-variants like saxpy?)
*
*/
__pyx_t_4 = (__pyx_v_cbow_mean != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":419
* inv_count = ONEF/count
* if cbow_mean:
* sscal(&size, &inv_count, neu1, &ONE) # (does this need BLAS-variants like saxpy?) # <<<<<<<<<<<<<<
*
* memset(work, 0, size * cython.sizeof(REAL_t))
*/
__pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_inv_count), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":418
* if count > (0.5):
* inv_count = ONEF/count
* if cbow_mean: # <<<<<<<<<<<<<<
* sscal(&size, &inv_count, neu1, &ONE) # (does this need BLAS-variants like saxpy?)
*
*/
}
/* "gensim/models/word2vec_inner.pyx":421
* sscal(&size, &inv_count, neu1, &ONE) # (does this need BLAS-variants like saxpy?)
*
* memset(work, 0, size * cython.sizeof(REAL_t)) # <<<<<<<<<<<<<<
*
* for d in range(negative+1):
*/
(void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
/* "gensim/models/word2vec_inner.pyx":423
* memset(work, 0, size * cython.sizeof(REAL_t))
*
* for d in range(negative+1): # <<<<<<<<<<<<<<
* if d == 0:
* target_index = word_index
*/
__pyx_t_5 = (__pyx_v_negative + 1);
__pyx_t_6 = __pyx_t_5;
for (__pyx_t_1 = 0; __pyx_t_1 < __pyx_t_6; __pyx_t_1+=1) {
__pyx_v_d = __pyx_t_1;
/* "gensim/models/word2vec_inner.pyx":424
*
* for d in range(negative+1):
* if d == 0: # <<<<<<<<<<<<<<
* target_index = word_index
* label = ONEF
*/
__pyx_t_4 = ((__pyx_v_d == 0) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":425
* for d in range(negative+1):
* if d == 0:
* target_index = word_index # <<<<<<<<<<<<<<
* label = ONEF
* else:
*/
__pyx_v_target_index = __pyx_v_word_index;
/* "gensim/models/word2vec_inner.pyx":426
* if d == 0:
* target_index = word_index
* label = ONEF # <<<<<<<<<<<<<<
* else:
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
*/
__pyx_v_label = __pyx_v_6gensim_6models_14word2vec_inner_ONEF;
/* "gensim/models/word2vec_inner.pyx":424
*
* for d in range(negative+1):
* if d == 0: # <<<<<<<<<<<<<<
* target_index = word_index
* label = ONEF
*/
goto __pyx_L10;
}
/* "gensim/models/word2vec_inner.pyx":428
* label = ONEF
* else:
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len) # <<<<<<<<<<<<<<
* next_random = (next_random * 25214903917ULL + 11) & modulo
* if target_index == word_index:
*/
/*else*/ {
__pyx_v_target_index = __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_v_cum_table, ((__pyx_v_next_random >> 16) % (__pyx_v_cum_table[(__pyx_v_cum_table_len - 1)])), 0, __pyx_v_cum_table_len);
/* "gensim/models/word2vec_inner.pyx":429
* else:
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
* next_random = (next_random * 25214903917ULL + 11) & modulo # <<<<<<<<<<<<<<
* if target_index == word_index:
* continue
*/
__pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);
/* "gensim/models/word2vec_inner.pyx":430
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
* next_random = (next_random * 25214903917ULL + 11) & modulo
* if target_index == word_index: # <<<<<<<<<<<<<<
* continue
* label = 0.0
*/
__pyx_t_4 = ((__pyx_v_target_index == __pyx_v_word_index) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":431
* next_random = (next_random * 25214903917ULL + 11) & modulo
* if target_index == word_index:
* continue # <<<<<<<<<<<<<<
* label = 0.0
*
*/
goto __pyx_L8_continue;
/* "gensim/models/word2vec_inner.pyx":430
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
* next_random = (next_random * 25214903917ULL + 11) & modulo
* if target_index == word_index: # <<<<<<<<<<<<<<
* continue
* label = 0.0
*/
}
/* "gensim/models/word2vec_inner.pyx":432
* if target_index == word_index:
* continue
* label = 0.0 # <<<<<<<<<<<<<<
*
* row2 = target_index * size
*/
__pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
}
__pyx_L10:;
/* "gensim/models/word2vec_inner.pyx":434
* label = 0.0
*
* row2 = target_index * size # <<<<<<<<<<<<<<
* f_dot = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
*/
__pyx_v_row2 = (((PY_LONG_LONG)__pyx_v_target_index) * ((PY_LONG_LONG)__pyx_v_size));
/* "gensim/models/word2vec_inner.pyx":435
*
* row2 = target_index * size
* f_dot = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE) # <<<<<<<<<<<<<<
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue
*/
__pyx_v_f_dot = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":436
* row2 = target_index * size
* f_dot = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
__pyx_t_7 = ((__pyx_v_f_dot <= -6.0) != 0);
if (!__pyx_t_7) {
} else {
__pyx_t_4 = __pyx_t_7;
goto __pyx_L13_bool_binop_done;
}
__pyx_t_7 = ((__pyx_v_f_dot >= 6.0) != 0);
__pyx_t_4 = __pyx_t_7;
__pyx_L13_bool_binop_done:;
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":437
* f_dot = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue # <<<<<<<<<<<<<<
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* g = (label - f) * alpha
*/
goto __pyx_L8_continue;
/* "gensim/models/word2vec_inner.pyx":436
* row2 = target_index * size
* f_dot = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
}
/* "gensim/models/word2vec_inner.pyx":438
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
* g = (label - f) * alpha
*
*/
__pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f_dot + 6.0) * ((0x3E8 / 6) / 2)))]);
/* "gensim/models/word2vec_inner.pyx":439
* continue
* f = EXP_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* g = (label - f) * alpha # <<<<<<<<<<<<<<
*
* if _compute_loss == 1:
*/
__pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);
/* "gensim/models/word2vec_inner.pyx":441
* g = (label - f) * alpha
*
* if _compute_loss == 1: # <<<<<<<<<<<<<<
* f_dot = (f_dot if d == 0 else -f_dot)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
*/
__pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":442
*
* if _compute_loss == 1:
* f_dot = (f_dot if d == 0 else -f_dot) # <<<<<<<<<<<<<<
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue
*/
if (((__pyx_v_d == 0) != 0)) {
__pyx_t_8 = __pyx_v_f_dot;
} else {
__pyx_t_8 = (-__pyx_v_f_dot);
}
__pyx_v_f_dot = __pyx_t_8;
/* "gensim/models/word2vec_inner.pyx":443
* if _compute_loss == 1:
* f_dot = (f_dot if d == 0 else -f_dot)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* log_e_f_dot = LOG_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
__pyx_t_7 = ((__pyx_v_f_dot <= -6.0) != 0);
if (!__pyx_t_7) {
} else {
__pyx_t_4 = __pyx_t_7;
goto __pyx_L17_bool_binop_done;
}
__pyx_t_7 = ((__pyx_v_f_dot >= 6.0) != 0);
__pyx_t_4 = __pyx_t_7;
__pyx_L17_bool_binop_done:;
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":444
* f_dot = (f_dot if d == 0 else -f_dot)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue # <<<<<<<<<<<<<<
* log_e_f_dot = LOG_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* _running_training_loss_param[0] = _running_training_loss_param[0] - log_e_f_dot
*/
goto __pyx_L8_continue;
/* "gensim/models/word2vec_inner.pyx":443
* if _compute_loss == 1:
* f_dot = (f_dot if d == 0 else -f_dot)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP: # <<<<<<<<<<<<<<
* continue
* log_e_f_dot = LOG_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
*/
}
/* "gensim/models/word2vec_inner.pyx":445
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
* continue
* log_e_f_dot = LOG_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
* _running_training_loss_param[0] = _running_training_loss_param[0] - log_e_f_dot
*
*/
__pyx_v_log_e_f_dot = (__pyx_v_6gensim_6models_14word2vec_inner_LOG_TABLE[((int)((__pyx_v_f_dot + 6.0) * ((0x3E8 / 6) / 2)))]);
/* "gensim/models/word2vec_inner.pyx":446
* continue
* log_e_f_dot = LOG_TABLE[((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
* _running_training_loss_param[0] = _running_training_loss_param[0] - log_e_f_dot # <<<<<<<<<<<<<<
*
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
*/
(__pyx_v__running_training_loss_param[0]) = ((__pyx_v__running_training_loss_param[0]) - __pyx_v_log_e_f_dot);
/* "gensim/models/word2vec_inner.pyx":441
* g = (label - f) * alpha
*
* if _compute_loss == 1: # <<<<<<<<<<<<<<
* f_dot = (f_dot if d == 0 else -f_dot)
* if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
*/
}
/* "gensim/models/word2vec_inner.pyx":448
* _running_training_loss_param[0] = _running_training_loss_param[0] - log_e_f_dot
*
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE) # <<<<<<<<<<<<<<
* our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
*
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":449
*
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
* our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE) # <<<<<<<<<<<<<<
*
* if not cbow_mean: # divide error over summed window vectors
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
__pyx_L8_continue:;
}
/* "gensim/models/word2vec_inner.pyx":451
* our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
*
* if not cbow_mean: # divide error over summed window vectors # <<<<<<<<<<<<<<
* sscal(&size, &inv_count, work, &ONE) # (does this need BLAS-variants like saxpy?)
*
*/
__pyx_t_4 = ((!(__pyx_v_cbow_mean != 0)) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":452
*
* if not cbow_mean: # divide error over summed window vectors
* sscal(&size, &inv_count, work, &ONE) # (does this need BLAS-variants like saxpy?) # <<<<<<<<<<<<<<
*
* for m in range(j,k):
*/
__pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_inv_count), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
/* "gensim/models/word2vec_inner.pyx":451
* our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
*
* if not cbow_mean: # divide error over summed window vectors # <<<<<<<<<<<<<<
* sscal(&size, &inv_count, work, &ONE) # (does this need BLAS-variants like saxpy?)
*
*/
}
/* "gensim/models/word2vec_inner.pyx":454
* sscal(&size, &inv_count, work, &ONE) # (does this need BLAS-variants like saxpy?)
*
* for m in range(j,k): # <<<<<<<<<<<<<<
* if m == i:
* continue
*/
__pyx_t_1 = __pyx_v_k;
__pyx_t_2 = __pyx_t_1;
for (__pyx_t_3 = __pyx_v_j; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_m = __pyx_t_3;
/* "gensim/models/word2vec_inner.pyx":455
*
* for m in range(j,k):
* if m == i: # <<<<<<<<<<<<<<
* continue
* else:
*/
__pyx_t_4 = ((__pyx_v_m == __pyx_v_i) != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":456
* for m in range(j,k):
* if m == i:
* continue # <<<<<<<<<<<<<<
* else:
* our_saxpy(&size, &words_lockf[indexes[m] % lockf_len], work, &ONE, &syn0[indexes[m] * size], &ONE)
*/
goto __pyx_L20_continue;
/* "gensim/models/word2vec_inner.pyx":455
*
* for m in range(j,k):
* if m == i: # <<<<<<<<<<<<<<
* continue
* else:
*/
}
/* "gensim/models/word2vec_inner.pyx":458
* continue
* else:
* our_saxpy(&size, &words_lockf[indexes[m] % lockf_len], work, &ONE, &syn0[indexes[m] * size], &ONE) # <<<<<<<<<<<<<<
*
* return next_random
*/
/*else*/ {
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_words_lockf[((__pyx_v_indexes[__pyx_v_m]) % __pyx_v_lockf_len)])), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn0[(((PY_LONG_LONG)(__pyx_v_indexes[__pyx_v_m])) * ((PY_LONG_LONG)__pyx_v_size))])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
}
__pyx_L20_continue:;
}
/* "gensim/models/word2vec_inner.pyx":460
* our_saxpy(&size, &words_lockf[indexes[m] % lockf_len], work, &ONE, &syn0[indexes[m] * size], &ONE)
*
* return next_random # <<<<<<<<<<<<<<
*
*
*/
__pyx_r = __pyx_v_next_random;
goto __pyx_L0;
/* "gensim/models/word2vec_inner.pyx":344
*
*
* cdef unsigned long long w2v_fast_sentence_cbow_neg( # <<<<<<<<<<<<<<
* const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, int codelens[MAX_SENTENCE_LEN],
* REAL_t *neu1, REAL_t *syn0, REAL_t *syn1neg, const int size,
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "gensim/models/word2vec_inner.pyx":463
*
*
* cdef init_w2v_config(Word2VecConfig *c, model, alpha, compute_loss, _work, _neu1=None): # <<<<<<<<<<<<<<
* c[0].hs = model.hs
* c[0].negative = model.negative
*/
static PyObject *__pyx_f_6gensim_6models_14word2vec_inner_init_w2v_config(struct __pyx_t_6gensim_6models_14word2vec_inner_Word2VecConfig *__pyx_v_c, PyObject *__pyx_v_model, PyObject *__pyx_v_alpha, PyObject *__pyx_v_compute_loss, PyObject *__pyx_v__work, struct __pyx_opt_args_6gensim_6models_14word2vec_inner_init_w2v_config *__pyx_optional_args) {
PyObject *__pyx_v__neu1 = ((PyObject *)Py_None);
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
int __pyx_t_2;
PyObject *__pyx_t_3 = NULL;
int __pyx_t_4;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_t_5;
Py_ssize_t __pyx_t_6;
int __pyx_t_7;
PyObject *__pyx_t_8 = NULL;
unsigned PY_LONG_LONG __pyx_t_9;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("init_w2v_config", 0);
if (__pyx_optional_args) {
if (__pyx_optional_args->__pyx_n > 0) {
__pyx_v__neu1 = __pyx_optional_args->_neu1;
}
}
/* "gensim/models/word2vec_inner.pyx":464
*
* cdef init_w2v_config(Word2VecConfig *c, model, alpha, compute_loss, _work, _neu1=None):
* c[0].hs = model.hs # <<<<<<<<<<<<<<
* c[0].negative = model.negative
* c[0].sample = (model.sample != 0)
*/
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_hs); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 464, __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, 464, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
(__pyx_v_c[0]).hs = __pyx_t_2;
/* "gensim/models/word2vec_inner.pyx":465
* cdef init_w2v_config(Word2VecConfig *c, model, alpha, compute_loss, _work, _neu1=None):
* c[0].hs = model.hs
* c[0].negative = model.negative # <<<<<<<<<<<<<<
* c[0].sample = (model.sample != 0)
* c[0].cbow_mean = model.cbow_mean
*/
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_negative); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 465, __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, 465, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
(__pyx_v_c[0]).negative = __pyx_t_2;
/* "gensim/models/word2vec_inner.pyx":466
* c[0].hs = model.hs
* c[0].negative = model.negative
* c[0].sample = (model.sample != 0) # <<<<<<<<<<<<<<
* c[0].cbow_mean = model.cbow_mean
* c[0].window = model.window
*/
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_sample); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 466, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = __Pyx_PyInt_NeObjC(__pyx_t_1, __pyx_int_0, 0, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 466, __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, 466, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
(__pyx_v_c[0]).sample = __pyx_t_2;
/* "gensim/models/word2vec_inner.pyx":467
* c[0].negative = model.negative
* c[0].sample = (model.sample != 0)
* c[0].cbow_mean = model.cbow_mean # <<<<<<<<<<<<<<
* c[0].window = model.window
* c[0].workers = model.workers
*/
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_cbow_mean); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 467, __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, 467, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
(__pyx_v_c[0]).cbow_mean = __pyx_t_2;
/* "gensim/models/word2vec_inner.pyx":468
* c[0].sample = (model.sample != 0)
* c[0].cbow_mean = model.cbow_mean
* c[0].window = model.window # <<<<<<<<<<<<<<
* c[0].workers = model.workers
*
*/
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_window); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 468, __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, 468, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
(__pyx_v_c[0]).window = __pyx_t_2;
/* "gensim/models/word2vec_inner.pyx":469
* c[0].cbow_mean = model.cbow_mean
* c[0].window = model.window
* c[0].workers = model.workers # <<<<<<<<<<<<<<
*
* c[0].compute_loss = (1 if compute_loss else 0)
*/
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_workers); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 469, __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, 469, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
(__pyx_v_c[0]).workers = __pyx_t_2;
/* "gensim/models/word2vec_inner.pyx":471
* c[0].workers = model.workers
*
* c[0].compute_loss = (1 if compute_loss else 0) # <<<<<<<<<<<<<<
* c[0].running_training_loss = model.running_training_loss
*
*/
__pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_v_compute_loss); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 471, __pyx_L1_error)
if (__pyx_t_4) {
__pyx_t_2 = 1;
} else {
__pyx_t_2 = 0;
}
(__pyx_v_c[0]).compute_loss = __pyx_t_2;
/* "gensim/models/word2vec_inner.pyx":472
*
* c[0].compute_loss = (1 if compute_loss else 0)
* c[0].running_training_loss = model.running_training_loss # <<<<<<<<<<<<<<
*
* c[0].syn0 = (np.PyArray_DATA(model.wv.vectors))
*/
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_running_training_loss); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 472, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == ((npy_float32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 472, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
(__pyx_v_c[0]).running_training_loss = __pyx_t_5;
/* "gensim/models/word2vec_inner.pyx":474
* c[0].running_training_loss = model.running_training_loss
*
* c[0].syn0 = (np.PyArray_DATA(model.wv.vectors)) # <<<<<<<<<<<<<<
* c[0].words_lockf = (np.PyArray_DATA(model.wv.vectors_lockf))
* c[0].words_lockf_len = len(model.wv.vectors_lockf)
*/
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 474, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_vectors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 474, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 474, __pyx_L1_error)
(__pyx_v_c[0]).syn0 = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_1)));
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
/* "gensim/models/word2vec_inner.pyx":475
*
* c[0].syn0 = (np.PyArray_DATA(model.wv.vectors))
* c[0].words_lockf = (np.PyArray_DATA(model.wv.vectors_lockf)) # <<<<<<<<<<<<<<
* c[0].words_lockf_len = len(model.wv.vectors_lockf)
* c[0].alpha = alpha
*/
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_vectors_lockf); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 475, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__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, 475, __pyx_L1_error)
(__pyx_v_c[0]).words_lockf = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_3)));
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
/* "gensim/models/word2vec_inner.pyx":476
* c[0].syn0 = (np.PyArray_DATA(model.wv.vectors))
* c[0].words_lockf = (np.PyArray_DATA(model.wv.vectors_lockf))
* c[0].words_lockf_len = len(model.wv.vectors_lockf) # <<<<<<<<<<<<<<
* c[0].alpha = alpha
* c[0].size = model.wv.vector_size
*/
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 476, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_vectors_lockf); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 476, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_6 = PyObject_Length(__pyx_t_1); if (unlikely(__pyx_t_6 == ((Py_ssize_t)-1))) __PYX_ERR(0, 476, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
(__pyx_v_c[0]).words_lockf_len = __pyx_t_6;
/* "gensim/models/word2vec_inner.pyx":477
* c[0].words_lockf = (np.PyArray_DATA(model.wv.vectors_lockf))
* c[0].words_lockf_len = len(model.wv.vectors_lockf)
* c[0].alpha = alpha # <<<<<<<<<<<<<<
* c[0].size = model.wv.vector_size
*
*/
__pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_v_alpha); if (unlikely((__pyx_t_5 == ((npy_float32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 477, __pyx_L1_error)
(__pyx_v_c[0]).alpha = __pyx_t_5;
/* "gensim/models/word2vec_inner.pyx":478
* c[0].words_lockf_len = len(model.wv.vectors_lockf)
* c[0].alpha = alpha
* c[0].size = model.wv.vector_size # <<<<<<<<<<<<<<
*
* if c[0].hs:
*/
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 478, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_vector_size); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 478, __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, 478, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
(__pyx_v_c[0]).size = __pyx_t_2;
/* "gensim/models/word2vec_inner.pyx":480
* c[0].size = model.wv.vector_size
*
* if c[0].hs: # <<<<<<<<<<<<<<
* c[0].syn1 = (np.PyArray_DATA(model.syn1))
*
*/
__pyx_t_4 = ((__pyx_v_c[0]).hs != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":481
*
* if c[0].hs:
* c[0].syn1 = (np.PyArray_DATA(model.syn1)) # <<<<<<<<<<<<<<
*
* if c[0].negative:
*/
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_syn1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 481, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 481, __pyx_L1_error)
(__pyx_v_c[0]).syn1 = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_3)));
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
/* "gensim/models/word2vec_inner.pyx":480
* c[0].size = model.wv.vector_size
*
* if c[0].hs: # <<<<<<<<<<<<<<
* c[0].syn1 = (np.PyArray_DATA(model.syn1))
*
*/
}
/* "gensim/models/word2vec_inner.pyx":483
* c[0].syn1 = (np.PyArray_DATA(model.syn1))
*
* if c[0].negative: # <<<<<<<<<<<<<<
* c[0].syn1neg = (np.PyArray_DATA(model.syn1neg))
* c[0].cum_table = (np.PyArray_DATA(model.cum_table))
*/
__pyx_t_4 = ((__pyx_v_c[0]).negative != 0);
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":484
*
* if c[0].negative:
* c[0].syn1neg = (np.PyArray_DATA(model.syn1neg)) # <<<<<<<<<<<<<<
* c[0].cum_table = (np.PyArray_DATA(model.cum_table))
* c[0].cum_table_len = len(model.cum_table)
*/
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_syn1neg); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 484, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 484, __pyx_L1_error)
(__pyx_v_c[0]).syn1neg = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_3)));
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
/* "gensim/models/word2vec_inner.pyx":485
* if c[0].negative:
* c[0].syn1neg = (np.PyArray_DATA(model.syn1neg))
* c[0].cum_table = (np.PyArray_DATA(model.cum_table)) # <<<<<<<<<<<<<<
* c[0].cum_table_len = len(model.cum_table)
* if c[0].negative or c[0].sample:
*/
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_cum_table); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 485, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 485, __pyx_L1_error)
(__pyx_v_c[0]).cum_table = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_3)));
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
/* "gensim/models/word2vec_inner.pyx":486
* c[0].syn1neg = (np.PyArray_DATA(model.syn1neg))
* c[0].cum_table = (np.PyArray_DATA(model.cum_table))
* c[0].cum_table_len = len(model.cum_table) # <<<<<<<<<<<<<<
* if c[0].negative or c[0].sample:
* c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)
*/
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_cum_table); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 486, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_6 = PyObject_Length(__pyx_t_3); if (unlikely(__pyx_t_6 == ((Py_ssize_t)-1))) __PYX_ERR(0, 486, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
(__pyx_v_c[0]).cum_table_len = __pyx_t_6;
/* "gensim/models/word2vec_inner.pyx":483
* c[0].syn1 = (np.PyArray_DATA(model.syn1))
*
* if c[0].negative: # <<<<<<<<<<<<<<
* c[0].syn1neg = (np.PyArray_DATA(model.syn1neg))
* c[0].cum_table = (np.PyArray_DATA(model.cum_table))
*/
}
/* "gensim/models/word2vec_inner.pyx":487
* c[0].cum_table = (np.PyArray_DATA(model.cum_table))
* c[0].cum_table_len = len(model.cum_table)
* if c[0].negative or c[0].sample: # <<<<<<<<<<<<<<
* c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)
*
*/
__pyx_t_7 = ((__pyx_v_c[0]).negative != 0);
if (!__pyx_t_7) {
} else {
__pyx_t_4 = __pyx_t_7;
goto __pyx_L6_bool_binop_done;
}
__pyx_t_7 = ((__pyx_v_c[0]).sample != 0);
__pyx_t_4 = __pyx_t_7;
__pyx_L6_bool_binop_done:;
if (__pyx_t_4) {
/* "gensim/models/word2vec_inner.pyx":488
* c[0].cum_table_len = len(model.cum_table)
* if c[0].negative or c[0].sample:
* c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24) # <<<<<<<<<<<<<<
*
* # convert Python structures to primitive types, so we can release the GIL
*/
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_random); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 488, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_randint); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 488, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_tuple_, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 488, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyNumber_Multiply(__pyx_int_16777216, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 488, __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_model, __pyx_n_s_random); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 488, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_randint); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 488, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_8);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_tuple_, NULL); 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_8 = PyNumber_Add(__pyx_t_1, __pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 488, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_8);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_9 = __Pyx_PyInt_As_unsigned_PY_LONG_LONG(__pyx_t_8); if (unlikely((__pyx_t_9 == (unsigned PY_LONG_LONG)-1) && PyErr_Occurred())) __PYX_ERR(0, 488, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
(__pyx_v_c[0]).next_random = __pyx_t_9;
/* "gensim/models/word2vec_inner.pyx":487
* c[0].cum_table = (np.PyArray_DATA(model.cum_table))
* c[0].cum_table_len = len(model.cum_table)
* if c[0].negative or c[0].sample: # <<<<<<<<<<<<<<
* c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)
*
*/
}
/* "gensim/models/word2vec_inner.pyx":491
*
* # convert Python structures to primitive types, so we can release the GIL
* c[0].work = np.PyArray_DATA(_work) # <<<<<<<<<<<<<<
*
* if _neu1 is not None:
*/
if (!(likely(((__pyx_v__work) == Py_None) || likely(__Pyx_TypeTest(__pyx_v__work, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 491, __pyx_L1_error)
(__pyx_v_c[0]).work = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v__work)));
/* "gensim/models/word2vec_inner.pyx":493
* c[0].work = np.PyArray_DATA(_work)
*
* if _neu1 is not None: # <<<<<<<<<<<<<<
* c[0].neu1 = np.PyArray_DATA(_neu1)
*
*/
__pyx_t_4 = (__pyx_v__neu1 != Py_None);
__pyx_t_7 = (__pyx_t_4 != 0);
if (__pyx_t_7) {
/* "gensim/models/word2vec_inner.pyx":494
*
* if _neu1 is not None:
* c[0].neu1 = np.PyArray_DATA(_neu1) # <<<<<<<<<<<<<<
*
*
*/
if (!(likely(((__pyx_v__neu1) == Py_None) || likely(__Pyx_TypeTest(__pyx_v__neu1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 494, __pyx_L1_error)
(__pyx_v_c[0]).neu1 = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v__neu1)));
/* "gensim/models/word2vec_inner.pyx":493
* c[0].work = np.PyArray_DATA(_work)
*
* if _neu1 is not None: # <<<<<<<<<<<<<<
* c[0].neu1 = np.PyArray_DATA(_neu1)
*
*/
}
/* "gensim/models/word2vec_inner.pyx":463
*
*
* cdef init_w2v_config(Word2VecConfig *c, model, alpha, compute_loss, _work, _neu1=None): # <<<<<<<<<<<<<<
* c[0].hs = model.hs
* c[0].negative = model.negative
*/
/* 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_8);
__Pyx_AddTraceback("gensim.models.word2vec_inner.init_w2v_config", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "gensim/models/word2vec_inner.pyx":497
*
*
* def train_batch_sg(model, sentences, alpha, _work, compute_loss): # <<<<<<<<<<<<<<
* """Update skip-gram model by training on a batch of sentences.
*
*/
/* Python wrapper */
static PyObject *__pyx_pw_6gensim_6models_14word2vec_inner_1train_batch_sg(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gensim_6models_14word2vec_inner_train_batch_sg[] = "train_batch_sg(model, sentences, alpha, _work, compute_loss)\nUpdate skip-gram model by training on a batch of sentences.\n\n Called internally from :meth:`~gensim.models.word2vec.Word2Vec.train`.\n\n Parameters\n ----------\n model : :class:`~gensim.models.word2Vec.Word2Vec`\n The Word2Vec model instance to train.\n sentences : iterable of list of str\n The corpus used to train the model.\n alpha : float\n The learning rate\n _work : np.ndarray\n Private working memory for each worker.\n compute_loss : bool\n Whether or not the training loss should be computed in this batch.\n\n Returns\n -------\n int\n Number of words in the vocabulary actually used for training (They already existed in the vocabulary\n and were not discarded by negative sampling).\n\n ";
static PyMethodDef __pyx_mdef_6gensim_6models_14word2vec_inner_1train_batch_sg = {"train_batch_sg", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gensim_6models_14word2vec_inner_1train_batch_sg, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_14word2vec_inner_train_batch_sg};
static PyObject *__pyx_pw_6gensim_6models_14word2vec_inner_1train_batch_sg(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
PyObject *__pyx_v_model = 0;
PyObject *__pyx_v_sentences = 0;
PyObject *__pyx_v_alpha = 0;
PyObject *__pyx_v__work = 0;
PyObject *__pyx_v_compute_loss = 0;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
PyObject *__pyx_r = 0;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("train_batch_sg (wrapper)", 0);
{
static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_model,&__pyx_n_s_sentences,&__pyx_n_s_alpha,&__pyx_n_s_work,&__pyx_n_s_compute_loss,0};
PyObject* values[5] = {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 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_model)) != 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_sentences)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("train_batch_sg", 1, 5, 5, 1); __PYX_ERR(0, 497, __pyx_L3_error)
}
CYTHON_FALLTHROUGH;
case 2:
if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_alpha)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("train_batch_sg", 1, 5, 5, 2); __PYX_ERR(0, 497, __pyx_L3_error)
}
CYTHON_FALLTHROUGH;
case 3:
if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_work)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("train_batch_sg", 1, 5, 5, 3); __PYX_ERR(0, 497, __pyx_L3_error)
}
CYTHON_FALLTHROUGH;
case 4:
if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_compute_loss)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("train_batch_sg", 1, 5, 5, 4); __PYX_ERR(0, 497, __pyx_L3_error)
}
}
if (unlikely(kw_args > 0)) {
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "train_batch_sg") < 0)) __PYX_ERR(0, 497, __pyx_L3_error)
}
} else if (PyTuple_GET_SIZE(__pyx_args) != 5) {
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);
}
__pyx_v_model = values[0];
__pyx_v_sentences = values[1];
__pyx_v_alpha = values[2];
__pyx_v__work = values[3];
__pyx_v_compute_loss = values[4];
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
__Pyx_RaiseArgtupleInvalid("train_batch_sg", 1, 5, 5, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 497, __pyx_L3_error)
__pyx_L3_error:;
__Pyx_AddTraceback("gensim.models.word2vec_inner.train_batch_sg", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
return NULL;
__pyx_L4_argument_unpacking_done:;
__pyx_r = __pyx_pf_6gensim_6models_14word2vec_inner_train_batch_sg(__pyx_self, __pyx_v_model, __pyx_v_sentences, __pyx_v_alpha, __pyx_v__work, __pyx_v_compute_loss);
/* function exit code */
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_train_batch_sg(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_sentences, PyObject *__pyx_v_alpha, PyObject *__pyx_v__work, PyObject *__pyx_v_compute_loss) {
struct __pyx_t_6gensim_6models_14word2vec_inner_Word2VecConfig __pyx_v_c;
int __pyx_v_i;
int __pyx_v_j;
int __pyx_v_k;
int __pyx_v_effective_words;
int __pyx_v_effective_sentences;
int __pyx_v_sent_idx;
int __pyx_v_idx_start;
int __pyx_v_idx_end;
__pyx_t_5numpy_uint32_t *__pyx_v_vocab_sample_ints;
PyObject *__pyx_v_vocab_codes = NULL;
PyObject *__pyx_v_vocab_points = NULL;
PyObject *__pyx_v_sent = NULL;
PyObject *__pyx_v_token = NULL;
PyObject *__pyx_v_word_index = NULL;
PyObject *__pyx_v_item = NULL;
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
int __pyx_t_2;
PyObject *__pyx_t_3 = NULL;
Py_ssize_t __pyx_t_4;
PyObject *(*__pyx_t_5)(PyObject *);
int __pyx_t_6;
Py_ssize_t __pyx_t_7;
PyObject *(*__pyx_t_8)(PyObject *);
PyObject *__pyx_t_9 = NULL;
PyObject *__pyx_t_10 = NULL;
Py_ssize_t __pyx_t_11;
__pyx_t_5numpy_uint32_t __pyx_t_12;
int __pyx_t_13;
PyObject *__pyx_t_14 = NULL;
int __pyx_t_15;
PyObject *__pyx_t_16 = NULL;
int __pyx_t_17;
int __pyx_t_18;
int __pyx_t_19;
int __pyx_t_20;
int __pyx_t_21;
int __pyx_t_22;
int __pyx_t_23;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("train_batch_sg", 0);
/* "gensim/models/word2vec_inner.pyx":524
* cdef Word2VecConfig c
* cdef int i, j, k
* cdef int effective_words = 0, effective_sentences = 0 # <<<<<<<<<<<<<<
* cdef int sent_idx, idx_start, idx_end
* cdef np.uint32_t *vocab_sample_ints
*/
__pyx_v_effective_words = 0;
__pyx_v_effective_sentences = 0;
/* "gensim/models/word2vec_inner.pyx":528
* cdef np.uint32_t *vocab_sample_ints
*
* init_w2v_config(&c, model, alpha, compute_loss, _work) # <<<<<<<<<<<<<<
* if c.sample:
* vocab_sample_ints = np.PyArray_DATA(model.wv.expandos['sample_int'])
*/
__pyx_t_1 = __pyx_f_6gensim_6models_14word2vec_inner_init_w2v_config((&__pyx_v_c), __pyx_v_model, __pyx_v_alpha, __pyx_v_compute_loss, __pyx_v__work, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 528, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
/* "gensim/models/word2vec_inner.pyx":529
*
* init_w2v_config(&c, model, alpha, compute_loss, _work)
* if c.sample: # <<<<<<<<<<<<<<
* vocab_sample_ints = np.PyArray_DATA(model.wv.expandos['sample_int'])
* if c.hs:
*/
__pyx_t_2 = (__pyx_v_c.sample != 0);
if (__pyx_t_2) {
/* "gensim/models/word2vec_inner.pyx":530
* init_w2v_config(&c, model, alpha, compute_loss, _work)
* if c.sample:
* vocab_sample_ints = np.PyArray_DATA(model.wv.expandos['sample_int']) # <<<<<<<<<<<<<<
* if c.hs:
* vocab_codes = model.wv.expandos['code']
*/
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 530, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 530, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_3, __pyx_n_u_sample_int); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 530, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 530, __pyx_L1_error)
__pyx_v_vocab_sample_ints = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_1)));
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
/* "gensim/models/word2vec_inner.pyx":529
*
* init_w2v_config(&c, model, alpha, compute_loss, _work)
* if c.sample: # <<<<<<<<<<<<<<
* vocab_sample_ints = np.PyArray_DATA(model.wv.expandos['sample_int'])
* if c.hs:
*/
}
/* "gensim/models/word2vec_inner.pyx":531
* if c.sample:
* vocab_sample_ints = np.PyArray_DATA(model.wv.expandos['sample_int'])
* if c.hs: # <<<<<<<<<<<<<<
* vocab_codes = model.wv.expandos['code']
* vocab_points = model.wv.expandos['point']
*/
__pyx_t_2 = (__pyx_v_c.hs != 0);
if (__pyx_t_2) {
/* "gensim/models/word2vec_inner.pyx":532
* vocab_sample_ints = np.PyArray_DATA(model.wv.expandos['sample_int'])
* if c.hs:
* vocab_codes = model.wv.expandos['code'] # <<<<<<<<<<<<<<
* vocab_points = model.wv.expandos['point']
*
*/
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 532, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 532, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_3, __pyx_n_u_code); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 532, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_v_vocab_codes = __pyx_t_1;
__pyx_t_1 = 0;
/* "gensim/models/word2vec_inner.pyx":533
* if c.hs:
* vocab_codes = model.wv.expandos['code']
* vocab_points = model.wv.expandos['point'] # <<<<<<<<<<<<<<
*
* # prepare C structures so we can go "full C" and release the Python GIL
*/
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 533, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 533, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_3, __pyx_n_u_point); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 533, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_v_vocab_points = __pyx_t_1;
__pyx_t_1 = 0;
/* "gensim/models/word2vec_inner.pyx":531
* if c.sample:
* vocab_sample_ints = np.PyArray_DATA(model.wv.expandos['sample_int'])
* if c.hs: # <<<<<<<<<<<<<<
* vocab_codes = model.wv.expandos['code']
* vocab_points = model.wv.expandos['point']
*/
}
/* "gensim/models/word2vec_inner.pyx":536
*
* # prepare C structures so we can go "full C" and release the Python GIL
* c.sentence_idx[0] = 0 # indices of the first sentence always start at 0 # <<<<<<<<<<<<<<
* for sent in sentences:
* if not sent:
*/
(__pyx_v_c.sentence_idx[0]) = 0;
/* "gensim/models/word2vec_inner.pyx":537
* # prepare C structures so we can go "full C" and release the Python GIL
* c.sentence_idx[0] = 0 # indices of the first sentence always start at 0
* for sent in sentences: # <<<<<<<<<<<<<<
* if not sent:
* continue # ignore empty sentences; leave effective_sentences unchanged
*/
if (likely(PyList_CheckExact(__pyx_v_sentences)) || PyTuple_CheckExact(__pyx_v_sentences)) {
__pyx_t_1 = __pyx_v_sentences; __Pyx_INCREF(__pyx_t_1); __pyx_t_4 = 0;
__pyx_t_5 = NULL;
} else {
__pyx_t_4 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_v_sentences); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 537, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_5 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 537, __pyx_L1_error)
}
for (;;) {
if (likely(!__pyx_t_5)) {
if (likely(PyList_CheckExact(__pyx_t_1))) {
if (__pyx_t_4 >= 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_4); __Pyx_INCREF(__pyx_t_3); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 537, __pyx_L1_error)
#else
__pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 537, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
#endif
} else {
if (__pyx_t_4 >= 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_4); __Pyx_INCREF(__pyx_t_3); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 537, __pyx_L1_error)
#else
__pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 537, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
#endif
}
} else {
__pyx_t_3 = __pyx_t_5(__pyx_t_1);
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, 537, __pyx_L1_error)
}
break;
}
__Pyx_GOTREF(__pyx_t_3);
}
__Pyx_XDECREF_SET(__pyx_v_sent, __pyx_t_3);
__pyx_t_3 = 0;
/* "gensim/models/word2vec_inner.pyx":538
* c.sentence_idx[0] = 0 # indices of the first sentence always start at 0
* for sent in sentences:
* if not sent: # <<<<<<<<<<<<<<
* continue # ignore empty sentences; leave effective_sentences unchanged
* for token in sent:
*/
__pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_sent); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 538, __pyx_L1_error)
__pyx_t_6 = ((!__pyx_t_2) != 0);
if (__pyx_t_6) {
/* "gensim/models/word2vec_inner.pyx":539
* for sent in sentences:
* if not sent:
* continue # ignore empty sentences; leave effective_sentences unchanged # <<<<<<<<<<<<<<
* for token in sent:
* if token not in model.wv.key_to_index:
*/
goto __pyx_L5_continue;
/* "gensim/models/word2vec_inner.pyx":538
* c.sentence_idx[0] = 0 # indices of the first sentence always start at 0
* for sent in sentences:
* if not sent: # <<<<<<<<<<<<<<
* continue # ignore empty sentences; leave effective_sentences unchanged
* for token in sent:
*/
}
/* "gensim/models/word2vec_inner.pyx":540
* if not sent:
* continue # ignore empty sentences; leave effective_sentences unchanged
* for token in sent: # <<<<<<<<<<<<<<
* if token not in model.wv.key_to_index:
* continue # leaving `effective_words` unchanged = shortening the sentence = expanding the window
*/
if (likely(PyList_CheckExact(__pyx_v_sent)) || PyTuple_CheckExact(__pyx_v_sent)) {
__pyx_t_3 = __pyx_v_sent; __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_sent); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 540, __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(0, 540, __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(0, 540, __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(0, 540, __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(0, 540, __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(0, 540, __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(0, 540, __pyx_L1_error)
}
break;
}
__Pyx_GOTREF(__pyx_t_9);
}
__Pyx_XDECREF_SET(__pyx_v_token, __pyx_t_9);
__pyx_t_9 = 0;
/* "gensim/models/word2vec_inner.pyx":541
* continue # ignore empty sentences; leave effective_sentences unchanged
* for token in sent:
* if token not in model.wv.key_to_index: # <<<<<<<<<<<<<<
* continue # leaving `effective_words` unchanged = shortening the sentence = expanding the window
* word_index = model.wv.key_to_index[token]
*/
__pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 541, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_9);
__pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_key_to_index); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 541, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_10);
__Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
__pyx_t_6 = (__Pyx_PySequence_ContainsTF(__pyx_v_token, __pyx_t_10, Py_NE)); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(0, 541, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__pyx_t_2 = (__pyx_t_6 != 0);
if (__pyx_t_2) {
/* "gensim/models/word2vec_inner.pyx":542
* for token in sent:
* if token not in model.wv.key_to_index:
* continue # leaving `effective_words` unchanged = shortening the sentence = expanding the window # <<<<<<<<<<<<<<
* word_index = model.wv.key_to_index[token]
* if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
*/
goto __pyx_L8_continue;
/* "gensim/models/word2vec_inner.pyx":541
* continue # ignore empty sentences; leave effective_sentences unchanged
* for token in sent:
* if token not in model.wv.key_to_index: # <<<<<<<<<<<<<<
* continue # leaving `effective_words` unchanged = shortening the sentence = expanding the window
* word_index = model.wv.key_to_index[token]
*/
}
/* "gensim/models/word2vec_inner.pyx":543
* if token not in model.wv.key_to_index:
* continue # leaving `effective_words` unchanged = shortening the sentence = expanding the window
* word_index = model.wv.key_to_index[token] # <<<<<<<<<<<<<<
* if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
* continue
*/
__pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 543, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_10);
__pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_key_to_index); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 543, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_9);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__pyx_t_10 = __Pyx_PyObject_GetItem(__pyx_t_9, __pyx_v_token); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 543, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_10);
__Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
__Pyx_XDECREF_SET(__pyx_v_word_index, __pyx_t_10);
__pyx_t_10 = 0;
/* "gensim/models/word2vec_inner.pyx":544
* continue # leaving `effective_words` unchanged = shortening the sentence = expanding the window
* word_index = model.wv.key_to_index[token]
* if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random): # <<<<<<<<<<<<<<
* continue
* c.indexes[effective_words] = word_index
*/
__pyx_t_6 = (__pyx_v_c.sample != 0);
if (__pyx_t_6) {
} else {
__pyx_t_2 = __pyx_t_6;
goto __pyx_L12_bool_binop_done;
}
__pyx_t_11 = __Pyx_PyIndex_AsSsize_t(__pyx_v_word_index); if (unlikely((__pyx_t_11 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 544, __pyx_L1_error)
__pyx_t_6 = (((__pyx_v_vocab_sample_ints[__pyx_t_11]) < __pyx_f_6gensim_6models_14word2vec_inner_random_int32((&__pyx_v_c.next_random))) != 0);
__pyx_t_2 = __pyx_t_6;
__pyx_L12_bool_binop_done:;
if (__pyx_t_2) {
/* "gensim/models/word2vec_inner.pyx":545
* word_index = model.wv.key_to_index[token]
* if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
* continue # <<<<<<<<<<<<<<
* c.indexes[effective_words] = word_index
* if c.hs:
*/
goto __pyx_L8_continue;
/* "gensim/models/word2vec_inner.pyx":544
* continue # leaving `effective_words` unchanged = shortening the sentence = expanding the window
* word_index = model.wv.key_to_index[token]
* if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random): # <<<<<<<<<<<<<<
* continue
* c.indexes[effective_words] = word_index
*/
}
/* "gensim/models/word2vec_inner.pyx":546
* if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
* continue
* c.indexes[effective_words] = word_index # <<<<<<<<<<<<<<
* if c.hs:
* c.codelens[effective_words] = len(vocab_codes[word_index])
*/
__pyx_t_12 = __Pyx_PyInt_As_npy_uint32(__pyx_v_word_index); if (unlikely((__pyx_t_12 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 546, __pyx_L1_error)
(__pyx_v_c.indexes[__pyx_v_effective_words]) = __pyx_t_12;
/* "gensim/models/word2vec_inner.pyx":547
* continue
* c.indexes[effective_words] = word_index
* if c.hs: # <<<<<<<<<<<<<<
* c.codelens[effective_words] = len(vocab_codes[word_index])
* c.codes[effective_words] = np.PyArray_DATA(vocab_codes[word_index])
*/
__pyx_t_2 = (__pyx_v_c.hs != 0);
if (__pyx_t_2) {
/* "gensim/models/word2vec_inner.pyx":548
* c.indexes[effective_words] = word_index
* if c.hs:
* c.codelens[effective_words] = len(vocab_codes[word_index]) # <<<<<<<<<<<<<<
* c.codes[effective_words] = np.PyArray_DATA(vocab_codes[word_index])
* c.points[effective_words] = np.PyArray_DATA(vocab_points[word_index])
*/
if (unlikely(!__pyx_v_vocab_codes)) { __Pyx_RaiseUnboundLocalError("vocab_codes"); __PYX_ERR(0, 548, __pyx_L1_error) }
__pyx_t_10 = __Pyx_PyObject_GetItem(__pyx_v_vocab_codes, __pyx_v_word_index); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 548, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_10);
__pyx_t_11 = PyObject_Length(__pyx_t_10); if (unlikely(__pyx_t_11 == ((Py_ssize_t)-1))) __PYX_ERR(0, 548, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
(__pyx_v_c.codelens[__pyx_v_effective_words]) = ((int)__pyx_t_11);
/* "gensim/models/word2vec_inner.pyx":549
* if c.hs:
* c.codelens[effective_words] = len(vocab_codes[word_index])
* c.codes[effective_words] = np.PyArray_DATA(vocab_codes[word_index]) # <<<<<<<<<<<<<<
* c.points[effective_words] = np.PyArray_DATA(vocab_points[word_index])
* effective_words += 1
*/
if (unlikely(!__pyx_v_vocab_codes)) { __Pyx_RaiseUnboundLocalError("vocab_codes"); __PYX_ERR(0, 549, __pyx_L1_error) }
__pyx_t_10 = __Pyx_PyObject_GetItem(__pyx_v_vocab_codes, __pyx_v_word_index); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 549, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_10);
if (!(likely(((__pyx_t_10) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_10, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 549, __pyx_L1_error)
(__pyx_v_c.codes[__pyx_v_effective_words]) = ((__pyx_t_5numpy_uint8_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_10)));
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
/* "gensim/models/word2vec_inner.pyx":550
* c.codelens[effective_words] = len(vocab_codes[word_index])
* c.codes[effective_words] = np.PyArray_DATA(vocab_codes[word_index])
* c.points[effective_words] = np.PyArray_DATA(vocab_points[word_index]) # <<<<<<<<<<<<<<
* effective_words += 1
* if effective_words == MAX_SENTENCE_LEN:
*/
if (unlikely(!__pyx_v_vocab_points)) { __Pyx_RaiseUnboundLocalError("vocab_points"); __PYX_ERR(0, 550, __pyx_L1_error) }
__pyx_t_10 = __Pyx_PyObject_GetItem(__pyx_v_vocab_points, __pyx_v_word_index); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 550, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_10);
if (!(likely(((__pyx_t_10) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_10, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 550, __pyx_L1_error)
(__pyx_v_c.points[__pyx_v_effective_words]) = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_10)));
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
/* "gensim/models/word2vec_inner.pyx":547
* continue
* c.indexes[effective_words] = word_index
* if c.hs: # <<<<<<<<<<<<<<
* c.codelens[effective_words] = len(vocab_codes[word_index])
* c.codes[effective_words] = np.PyArray_DATA(vocab_codes[word_index])
*/
}
/* "gensim/models/word2vec_inner.pyx":551
* c.codes[effective_words] = np.PyArray_DATA(vocab_codes[word_index])
* c.points[effective_words] = np.PyArray_DATA(vocab_points[word_index])
* effective_words += 1 # <<<<<<<<<<<<<<
* if effective_words == MAX_SENTENCE_LEN:
* break # TODO: log warning, tally overflow?
*/
__pyx_v_effective_words = (__pyx_v_effective_words + 1);
/* "gensim/models/word2vec_inner.pyx":552
* c.points[effective_words] = np.PyArray_DATA(vocab_points[word_index])
* effective_words += 1
* if effective_words == MAX_SENTENCE_LEN: # <<<<<<<<<<<<<<
* break # TODO: log warning, tally overflow?
*
*/
__pyx_t_2 = ((__pyx_v_effective_words == 0x2710) != 0);
if (__pyx_t_2) {
/* "gensim/models/word2vec_inner.pyx":553
* effective_words += 1
* if effective_words == MAX_SENTENCE_LEN:
* break # TODO: log warning, tally overflow? # <<<<<<<<<<<<<<
*
* # keep track of which words go into which sentence, so we don't train
*/
goto __pyx_L9_break;
/* "gensim/models/word2vec_inner.pyx":552
* c.points[effective_words] = np.PyArray_DATA(vocab_points[word_index])
* effective_words += 1
* if effective_words == MAX_SENTENCE_LEN: # <<<<<<<<<<<<<<
* break # TODO: log warning, tally overflow?
*
*/
}
/* "gensim/models/word2vec_inner.pyx":540
* if not sent:
* continue # ignore empty sentences; leave effective_sentences unchanged
* for token in sent: # <<<<<<<<<<<<<<
* if token not in model.wv.key_to_index:
* continue # leaving `effective_words` unchanged = shortening the sentence = expanding the window
*/
__pyx_L8_continue:;
}
__pyx_L9_break:;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
/* "gensim/models/word2vec_inner.pyx":558
* # across sentence boundaries.
* # indices of sentence number X are between tp_iternext; if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 566, __pyx_L1_error)
}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
for (;;) {
if (likely(!__pyx_t_5)) {
if (likely(PyList_CheckExact(__pyx_t_10))) {
if (__pyx_t_4 >= PyList_GET_SIZE(__pyx_t_10)) break;
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
__pyx_t_1 = PyList_GET_ITEM(__pyx_t_10, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 566, __pyx_L1_error)
#else
__pyx_t_1 = PySequence_ITEM(__pyx_t_10, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 566, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
#endif
} else {
if (__pyx_t_4 >= PyTuple_GET_SIZE(__pyx_t_10)) break;
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
__pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_10, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 566, __pyx_L1_error)
#else
__pyx_t_1 = PySequence_ITEM(__pyx_t_10, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 566, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
#endif
}
} else {
__pyx_t_1 = __pyx_t_5(__pyx_t_10);
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, 566, __pyx_L1_error)
}
break;
}
__Pyx_GOTREF(__pyx_t_1);
}
__Pyx_XDECREF_SET(__pyx_v_item, __pyx_t_1);
__pyx_t_1 = 0;
__pyx_v_i = __pyx_t_13;
__pyx_t_13 = (__pyx_t_13 + 1);
/* "gensim/models/word2vec_inner.pyx":567
* if model.shrink_windows:
* for i, item in enumerate(model.random.randint(0, c.window, effective_words)):
* c.reduced_windows[i] = item # <<<<<<<<<<<<<<
* else:
* for i in range(effective_words):
*/
__pyx_t_12 = __Pyx_PyInt_As_npy_uint32(__pyx_v_item); if (unlikely((__pyx_t_12 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 567, __pyx_L1_error)
(__pyx_v_c.reduced_windows[__pyx_v_i]) = __pyx_t_12;
/* "gensim/models/word2vec_inner.pyx":566
* # precompute "reduced window" offsets in a single randint() call
* if model.shrink_windows:
* for i, item in enumerate(model.random.randint(0, c.window, effective_words)): # <<<<<<<<<<<<<<
* c.reduced_windows[i] = item
* else:
*/
}
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
/* "gensim/models/word2vec_inner.pyx":565
*
* # precompute "reduced window" offsets in a single randint() call
* if model.shrink_windows: # <<<<<<<<<<<<<<
* for i, item in enumerate(model.random.randint(0, c.window, effective_words)):
* c.reduced_windows[i] = item
*/
goto __pyx_L17;
}
/* "gensim/models/word2vec_inner.pyx":569
* c.reduced_windows[i] = item
* else:
* for i in range(effective_words): # <<<<<<<<<<<<<<
* c.reduced_windows[i] = 0
*
*/
/*else*/ {
__pyx_t_13 = __pyx_v_effective_words;
__pyx_t_15 = __pyx_t_13;
for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
__pyx_v_i = __pyx_t_17;
/* "gensim/models/word2vec_inner.pyx":570
* else:
* for i in range(effective_words):
* c.reduced_windows[i] = 0 # <<<<<<<<<<<<<<
*
* # release GIL & train on all sentences
*/
(__pyx_v_c.reduced_windows[__pyx_v_i]) = 0;
}
}
__pyx_L17:;
/* "gensim/models/word2vec_inner.pyx":573
*
* # release GIL & train on all sentences
* with nogil: # <<<<<<<<<<<<<<
* for sent_idx in range(effective_sentences):
* idx_start = c.sentence_idx[sent_idx]
*/
{
#ifdef WITH_THREAD
PyThreadState *_save;
Py_UNBLOCK_THREADS
__Pyx_FastGIL_Remember();
#endif
/*try:*/ {
/* "gensim/models/word2vec_inner.pyx":574
* # release GIL & train on all sentences
* with nogil:
* for sent_idx in range(effective_sentences): # <<<<<<<<<<<<<<
* idx_start = c.sentence_idx[sent_idx]
* idx_end = c.sentence_idx[sent_idx + 1]
*/
__pyx_t_13 = __pyx_v_effective_sentences;
__pyx_t_15 = __pyx_t_13;
for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
__pyx_v_sent_idx = __pyx_t_17;
/* "gensim/models/word2vec_inner.pyx":575
* with nogil:
* for sent_idx in range(effective_sentences):
* idx_start = c.sentence_idx[sent_idx] # <<<<<<<<<<<<<<
* idx_end = c.sentence_idx[sent_idx + 1]
* for i in range(idx_start, idx_end):
*/
__pyx_v_idx_start = (__pyx_v_c.sentence_idx[__pyx_v_sent_idx]);
/* "gensim/models/word2vec_inner.pyx":576
* for sent_idx in range(effective_sentences):
* idx_start = c.sentence_idx[sent_idx]
* idx_end = c.sentence_idx[sent_idx + 1] # <<<<<<<<<<<<<<
* for i in range(idx_start, idx_end):
* j = i - c.window + c.reduced_windows[i]
*/
__pyx_v_idx_end = (__pyx_v_c.sentence_idx[(__pyx_v_sent_idx + 1)]);
/* "gensim/models/word2vec_inner.pyx":577
* idx_start = c.sentence_idx[sent_idx]
* idx_end = c.sentence_idx[sent_idx + 1]
* for i in range(idx_start, idx_end): # <<<<<<<<<<<<<<
* j = i - c.window + c.reduced_windows[i]
* if j < idx_start:
*/
__pyx_t_18 = __pyx_v_idx_end;
__pyx_t_19 = __pyx_t_18;
for (__pyx_t_20 = __pyx_v_idx_start; __pyx_t_20 < __pyx_t_19; __pyx_t_20+=1) {
__pyx_v_i = __pyx_t_20;
/* "gensim/models/word2vec_inner.pyx":578
* idx_end = c.sentence_idx[sent_idx + 1]
* for i in range(idx_start, idx_end):
* j = i - c.window + c.reduced_windows[i] # <<<<<<<<<<<<<<
* if j < idx_start:
* j = idx_start
*/
__pyx_v_j = ((__pyx_v_i - __pyx_v_c.window) + (__pyx_v_c.reduced_windows[__pyx_v_i]));
/* "gensim/models/word2vec_inner.pyx":579
* for i in range(idx_start, idx_end):
* j = i - c.window + c.reduced_windows[i]
* if j < idx_start: # <<<<<<<<<<<<<<
* j = idx_start
* k = i + c.window + 1 - c.reduced_windows[i]
*/
__pyx_t_2 = ((__pyx_v_j < __pyx_v_idx_start) != 0);
if (__pyx_t_2) {
/* "gensim/models/word2vec_inner.pyx":580
* j = i - c.window + c.reduced_windows[i]
* if j < idx_start:
* j = idx_start # <<<<<<<<<<<<<<
* k = i + c.window + 1 - c.reduced_windows[i]
* if k > idx_end:
*/
__pyx_v_j = __pyx_v_idx_start;
/* "gensim/models/word2vec_inner.pyx":579
* for i in range(idx_start, idx_end):
* j = i - c.window + c.reduced_windows[i]
* if j < idx_start: # <<<<<<<<<<<<<<
* j = idx_start
* k = i + c.window + 1 - c.reduced_windows[i]
*/
}
/* "gensim/models/word2vec_inner.pyx":581
* if j < idx_start:
* j = idx_start
* k = i + c.window + 1 - c.reduced_windows[i] # <<<<<<<<<<<<<<
* if k > idx_end:
* k = idx_end
*/
__pyx_v_k = (((__pyx_v_i + __pyx_v_c.window) + 1) - (__pyx_v_c.reduced_windows[__pyx_v_i]));
/* "gensim/models/word2vec_inner.pyx":582
* j = idx_start
* k = i + c.window + 1 - c.reduced_windows[i]
* if k > idx_end: # <<<<<<<<<<<<<<
* k = idx_end
* for j in range(j, k):
*/
__pyx_t_2 = ((__pyx_v_k > __pyx_v_idx_end) != 0);
if (__pyx_t_2) {
/* "gensim/models/word2vec_inner.pyx":583
* k = i + c.window + 1 - c.reduced_windows[i]
* if k > idx_end:
* k = idx_end # <<<<<<<<<<<<<<
* for j in range(j, k):
* if j == i:
*/
__pyx_v_k = __pyx_v_idx_end;
/* "gensim/models/word2vec_inner.pyx":582
* j = idx_start
* k = i + c.window + 1 - c.reduced_windows[i]
* if k > idx_end: # <<<<<<<<<<<<<<
* k = idx_end
* for j in range(j, k):
*/
}
/* "gensim/models/word2vec_inner.pyx":584
* if k > idx_end:
* k = idx_end
* for j in range(j, k): # <<<<<<<<<<<<<<
* if j == i:
* continue
*/
__pyx_t_21 = __pyx_v_k;
__pyx_t_22 = __pyx_t_21;
for (__pyx_t_23 = __pyx_v_j; __pyx_t_23 < __pyx_t_22; __pyx_t_23+=1) {
__pyx_v_j = __pyx_t_23;
/* "gensim/models/word2vec_inner.pyx":585
* k = idx_end
* for j in range(j, k):
* if j == i: # <<<<<<<<<<<<<<
* continue
* if c.hs:
*/
__pyx_t_2 = ((__pyx_v_j == __pyx_v_i) != 0);
if (__pyx_t_2) {
/* "gensim/models/word2vec_inner.pyx":586
* for j in range(j, k):
* if j == i:
* continue # <<<<<<<<<<<<<<
* if c.hs:
* w2v_fast_sentence_sg_hs(c.points[i], c.codes[i], c.codelens[i], c.syn0, c.syn1, c.size, c.indexes[j], c.alpha, c.work, c.words_lockf, c.words_lockf_len, c.compute_loss, &c.running_training_loss)
*/
goto __pyx_L31_continue;
/* "gensim/models/word2vec_inner.pyx":585
* k = idx_end
* for j in range(j, k):
* if j == i: # <<<<<<<<<<<<<<
* continue
* if c.hs:
*/
}
/* "gensim/models/word2vec_inner.pyx":587
* if j == i:
* continue
* if c.hs: # <<<<<<<<<<<<<<
* w2v_fast_sentence_sg_hs(c.points[i], c.codes[i], c.codelens[i], c.syn0, c.syn1, c.size, c.indexes[j], c.alpha, c.work, c.words_lockf, c.words_lockf_len, c.compute_loss, &c.running_training_loss)
* if c.negative:
*/
__pyx_t_2 = (__pyx_v_c.hs != 0);
if (__pyx_t_2) {
/* "gensim/models/word2vec_inner.pyx":588
* continue
* if c.hs:
* w2v_fast_sentence_sg_hs(c.points[i], c.codes[i], c.codelens[i], c.syn0, c.syn1, c.size, c.indexes[j], c.alpha, c.work, c.words_lockf, c.words_lockf_len, c.compute_loss, &c.running_training_loss) # <<<<<<<<<<<<<<
* if c.negative:
* c.next_random = w2v_fast_sentence_sg_neg(c.negative, c.cum_table, c.cum_table_len, c.syn0, c.syn1neg, c.size, c.indexes[i], c.indexes[j], c.alpha, c.work, c.next_random, c.words_lockf, c.words_lockf_len, c.compute_loss, &c.running_training_loss)
*/
__pyx_f_6gensim_6models_14word2vec_inner_w2v_fast_sentence_sg_hs((__pyx_v_c.points[__pyx_v_i]), (__pyx_v_c.codes[__pyx_v_i]), (__pyx_v_c.codelens[__pyx_v_i]), __pyx_v_c.syn0, __pyx_v_c.syn1, __pyx_v_c.size, (__pyx_v_c.indexes[__pyx_v_j]), __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.words_lockf, __pyx_v_c.words_lockf_len, __pyx_v_c.compute_loss, (&__pyx_v_c.running_training_loss));
/* "gensim/models/word2vec_inner.pyx":587
* if j == i:
* continue
* if c.hs: # <<<<<<<<<<<<<<
* w2v_fast_sentence_sg_hs(c.points[i], c.codes[i], c.codelens[i], c.syn0, c.syn1, c.size, c.indexes[j], c.alpha, c.work, c.words_lockf, c.words_lockf_len, c.compute_loss, &c.running_training_loss)
* if c.negative:
*/
}
/* "gensim/models/word2vec_inner.pyx":589
* if c.hs:
* w2v_fast_sentence_sg_hs(c.points[i], c.codes[i], c.codelens[i], c.syn0, c.syn1, c.size, c.indexes[j], c.alpha, c.work, c.words_lockf, c.words_lockf_len, c.compute_loss, &c.running_training_loss)
* if c.negative: # <<<<<<<<<<<<<<
* c.next_random = w2v_fast_sentence_sg_neg(c.negative, c.cum_table, c.cum_table_len, c.syn0, c.syn1neg, c.size, c.indexes[i], c.indexes[j], c.alpha, c.work, c.next_random, c.words_lockf, c.words_lockf_len, c.compute_loss, &c.running_training_loss)
*
*/
__pyx_t_2 = (__pyx_v_c.negative != 0);
if (__pyx_t_2) {
/* "gensim/models/word2vec_inner.pyx":590
* w2v_fast_sentence_sg_hs(c.points[i], c.codes[i], c.codelens[i], c.syn0, c.syn1, c.size, c.indexes[j], c.alpha, c.work, c.words_lockf, c.words_lockf_len, c.compute_loss, &c.running_training_loss)
* if c.negative:
* c.next_random = w2v_fast_sentence_sg_neg(c.negative, c.cum_table, c.cum_table_len, c.syn0, c.syn1neg, c.size, c.indexes[i], c.indexes[j], c.alpha, c.work, c.next_random, c.words_lockf, c.words_lockf_len, c.compute_loss, &c.running_training_loss) # <<<<<<<<<<<<<<
*
* model.running_training_loss = c.running_training_loss
*/
__pyx_v_c.next_random = __pyx_f_6gensim_6models_14word2vec_inner_w2v_fast_sentence_sg_neg(__pyx_v_c.negative, __pyx_v_c.cum_table, __pyx_v_c.cum_table_len, __pyx_v_c.syn0, __pyx_v_c.syn1neg, __pyx_v_c.size, (__pyx_v_c.indexes[__pyx_v_i]), (__pyx_v_c.indexes[__pyx_v_j]), __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.next_random, __pyx_v_c.words_lockf, __pyx_v_c.words_lockf_len, __pyx_v_c.compute_loss, (&__pyx_v_c.running_training_loss));
/* "gensim/models/word2vec_inner.pyx":589
* if c.hs:
* w2v_fast_sentence_sg_hs(c.points[i], c.codes[i], c.codelens[i], c.syn0, c.syn1, c.size, c.indexes[j], c.alpha, c.work, c.words_lockf, c.words_lockf_len, c.compute_loss, &c.running_training_loss)
* if c.negative: # <<<<<<<<<<<<<<
* c.next_random = w2v_fast_sentence_sg_neg(c.negative, c.cum_table, c.cum_table_len, c.syn0, c.syn1neg, c.size, c.indexes[i], c.indexes[j], c.alpha, c.work, c.next_random, c.words_lockf, c.words_lockf_len, c.compute_loss, &c.running_training_loss)
*
*/
}
__pyx_L31_continue:;
}
}
}
}
/* "gensim/models/word2vec_inner.pyx":573
*
* # release GIL & train on all sentences
* with nogil: # <<<<<<<<<<<<<<
* for sent_idx in range(effective_sentences):
* idx_start = c.sentence_idx[sent_idx]
*/
/*finally:*/ {
/*normal exit:*/{
#ifdef WITH_THREAD
__Pyx_FastGIL_Forget();
Py_BLOCK_THREADS
#endif
goto __pyx_L24;
}
__pyx_L24:;
}
}
/* "gensim/models/word2vec_inner.pyx":592
* c.next_random = w2v_fast_sentence_sg_neg(c.negative, c.cum_table, c.cum_table_len, c.syn0, c.syn1neg, c.size, c.indexes[i], c.indexes[j], c.alpha, c.work, c.next_random, c.words_lockf, c.words_lockf_len, c.compute_loss, &c.running_training_loss)
*
* model.running_training_loss = c.running_training_loss # <<<<<<<<<<<<<<
* return effective_words
*
*/
__pyx_t_10 = PyFloat_FromDouble(__pyx_v_c.running_training_loss); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 592, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_10);
if (__Pyx_PyObject_SetAttrStr(__pyx_v_model, __pyx_n_s_running_training_loss, __pyx_t_10) < 0) __PYX_ERR(0, 592, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
/* "gensim/models/word2vec_inner.pyx":593
*
* model.running_training_loss = c.running_training_loss
* return effective_words # <<<<<<<<<<<<<<
*
*
*/
__Pyx_XDECREF(__pyx_r);
__pyx_t_10 = __Pyx_PyInt_From_int(__pyx_v_effective_words); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 593, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_10);
__pyx_r = __pyx_t_10;
__pyx_t_10 = 0;
goto __pyx_L0;
/* "gensim/models/word2vec_inner.pyx":497
*
*
* def train_batch_sg(model, sentences, alpha, _work, compute_loss): # <<<<<<<<<<<<<<
* """Update skip-gram model by training on a batch of sentences.
*
*/
/* function exit code */
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_XDECREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_t_9);
__Pyx_XDECREF(__pyx_t_10);
__Pyx_XDECREF(__pyx_t_14);
__Pyx_XDECREF(__pyx_t_16);
__Pyx_AddTraceback("gensim.models.word2vec_inner.train_batch_sg", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = NULL;
__pyx_L0:;
__Pyx_XDECREF(__pyx_v_vocab_codes);
__Pyx_XDECREF(__pyx_v_vocab_points);
__Pyx_XDECREF(__pyx_v_sent);
__Pyx_XDECREF(__pyx_v_token);
__Pyx_XDECREF(__pyx_v_word_index);
__Pyx_XDECREF(__pyx_v_item);
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "gensim/models/word2vec_inner.pyx":596
*
*
* def train_batch_cbow(model, sentences, alpha, _work, _neu1, compute_loss): # <<<<<<<<<<<<<<
* """Update CBOW model by training on a batch of sentences.
*
*/
/* Python wrapper */
static PyObject *__pyx_pw_6gensim_6models_14word2vec_inner_3train_batch_cbow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gensim_6models_14word2vec_inner_2train_batch_cbow[] = "train_batch_cbow(model, sentences, alpha, _work, _neu1, compute_loss)\nUpdate CBOW model by training on a batch of sentences.\n\n Called internally from :meth:`~gensim.models.word2vec.Word2Vec.train`.\n\n Parameters\n ----------\n model : :class:`~gensim.models.word2vec.Word2Vec`\n The Word2Vec model instance to train.\n sentences : iterable of list of str\n The corpus used to train the model.\n alpha : float\n The learning rate.\n _work : np.ndarray\n Private working memory for each worker.\n _neu1 : np.ndarray\n Private working memory for each worker.\n compute_loss : bool\n Whether or not the training loss should be computed in this batch.\n\n Returns\n -------\n int\n Number of words in the vocabulary actually used for training (They already existed in the vocabulary\n and were not discarded by negative sampling).\n ";
static PyMethodDef __pyx_mdef_6gensim_6models_14word2vec_inner_3train_batch_cbow = {"train_batch_cbow", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gensim_6models_14word2vec_inner_3train_batch_cbow, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_14word2vec_inner_2train_batch_cbow};
static PyObject *__pyx_pw_6gensim_6models_14word2vec_inner_3train_batch_cbow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
PyObject *__pyx_v_model = 0;
PyObject *__pyx_v_sentences = 0;
PyObject *__pyx_v_alpha = 0;
PyObject *__pyx_v__work = 0;
PyObject *__pyx_v__neu1 = 0;
PyObject *__pyx_v_compute_loss = 0;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
PyObject *__pyx_r = 0;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("train_batch_cbow (wrapper)", 0);
{
static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_model,&__pyx_n_s_sentences,&__pyx_n_s_alpha,&__pyx_n_s_work,&__pyx_n_s_neu1,&__pyx_n_s_compute_loss,0};
PyObject* values[6] = {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 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_model)) != 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_sentences)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("train_batch_cbow", 1, 6, 6, 1); __PYX_ERR(0, 596, __pyx_L3_error)
}
CYTHON_FALLTHROUGH;
case 2:
if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_alpha)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("train_batch_cbow", 1, 6, 6, 2); __PYX_ERR(0, 596, __pyx_L3_error)
}
CYTHON_FALLTHROUGH;
case 3:
if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_work)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("train_batch_cbow", 1, 6, 6, 3); __PYX_ERR(0, 596, __pyx_L3_error)
}
CYTHON_FALLTHROUGH;
case 4:
if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neu1)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("train_batch_cbow", 1, 6, 6, 4); __PYX_ERR(0, 596, __pyx_L3_error)
}
CYTHON_FALLTHROUGH;
case 5:
if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_compute_loss)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("train_batch_cbow", 1, 6, 6, 5); __PYX_ERR(0, 596, __pyx_L3_error)
}
}
if (unlikely(kw_args > 0)) {
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "train_batch_cbow") < 0)) __PYX_ERR(0, 596, __pyx_L3_error)
}
} else if (PyTuple_GET_SIZE(__pyx_args) != 6) {
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);
}
__pyx_v_model = values[0];
__pyx_v_sentences = values[1];
__pyx_v_alpha = values[2];
__pyx_v__work = values[3];
__pyx_v__neu1 = values[4];
__pyx_v_compute_loss = values[5];
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
__Pyx_RaiseArgtupleInvalid("train_batch_cbow", 1, 6, 6, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 596, __pyx_L3_error)
__pyx_L3_error:;
__Pyx_AddTraceback("gensim.models.word2vec_inner.train_batch_cbow", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
return NULL;
__pyx_L4_argument_unpacking_done:;
__pyx_r = __pyx_pf_6gensim_6models_14word2vec_inner_2train_batch_cbow(__pyx_self, __pyx_v_model, __pyx_v_sentences, __pyx_v_alpha, __pyx_v__work, __pyx_v__neu1, __pyx_v_compute_loss);
/* function exit code */
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_2train_batch_cbow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_sentences, PyObject *__pyx_v_alpha, PyObject *__pyx_v__work, PyObject *__pyx_v__neu1, PyObject *__pyx_v_compute_loss) {
struct __pyx_t_6gensim_6models_14word2vec_inner_Word2VecConfig __pyx_v_c;
int __pyx_v_i;
int __pyx_v_j;
int __pyx_v_k;
int __pyx_v_effective_words;
int __pyx_v_effective_sentences;
int __pyx_v_sent_idx;
int __pyx_v_idx_start;
int __pyx_v_idx_end;
__pyx_t_5numpy_uint32_t *__pyx_v_vocab_sample_ints;
PyObject *__pyx_v_vocab_codes = NULL;
PyObject *__pyx_v_vocab_points = NULL;
PyObject *__pyx_v_sent = NULL;
PyObject *__pyx_v_token = NULL;
PyObject *__pyx_v_word_index = NULL;
PyObject *__pyx_v_item = NULL;
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
struct __pyx_opt_args_6gensim_6models_14word2vec_inner_init_w2v_config __pyx_t_2;
int __pyx_t_3;
PyObject *__pyx_t_4 = NULL;
Py_ssize_t __pyx_t_5;
PyObject *(*__pyx_t_6)(PyObject *);
int __pyx_t_7;
Py_ssize_t __pyx_t_8;
PyObject *(*__pyx_t_9)(PyObject *);
PyObject *__pyx_t_10 = NULL;
PyObject *__pyx_t_11 = NULL;
Py_ssize_t __pyx_t_12;
__pyx_t_5numpy_uint32_t __pyx_t_13;
int __pyx_t_14;
PyObject *__pyx_t_15 = NULL;
int __pyx_t_16;
PyObject *__pyx_t_17 = NULL;
int __pyx_t_18;
int __pyx_t_19;
int __pyx_t_20;
int __pyx_t_21;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("train_batch_cbow", 0);
/* "gensim/models/word2vec_inner.pyx":624
* cdef Word2VecConfig c
* cdef int i, j, k
* cdef int effective_words = 0, effective_sentences = 0 # <<<<<<<<<<<<<<
* cdef int sent_idx, idx_start, idx_end
* cdef np.uint32_t *vocab_sample_ints
*/
__pyx_v_effective_words = 0;
__pyx_v_effective_sentences = 0;
/* "gensim/models/word2vec_inner.pyx":628
* cdef np.uint32_t *vocab_sample_ints
*
* init_w2v_config(&c, model, alpha, compute_loss, _work, _neu1) # <<<<<<<<<<<<<<
* if c.sample:
* vocab_sample_ints = np.PyArray_DATA(model.wv.expandos['sample_int'])
*/
__pyx_t_2.__pyx_n = 1;
__pyx_t_2._neu1 = __pyx_v__neu1;
__pyx_t_1 = __pyx_f_6gensim_6models_14word2vec_inner_init_w2v_config((&__pyx_v_c), __pyx_v_model, __pyx_v_alpha, __pyx_v_compute_loss, __pyx_v__work, &__pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 628, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
/* "gensim/models/word2vec_inner.pyx":629
*
* init_w2v_config(&c, model, alpha, compute_loss, _work, _neu1)
* if c.sample: # <<<<<<<<<<<<<<
* vocab_sample_ints = np.PyArray_DATA(model.wv.expandos['sample_int'])
* if c.hs:
*/
__pyx_t_3 = (__pyx_v_c.sample != 0);
if (__pyx_t_3) {
/* "gensim/models/word2vec_inner.pyx":630
* init_w2v_config(&c, model, alpha, compute_loss, _work, _neu1)
* if c.sample:
* vocab_sample_ints = np.PyArray_DATA(model.wv.expandos['sample_int']) # <<<<<<<<<<<<<<
* if c.hs:
* vocab_codes = model.wv.expandos['code']
*/
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 630, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 630, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_4);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_4, __pyx_n_u_sample_int); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 630, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 630, __pyx_L1_error)
__pyx_v_vocab_sample_ints = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_1)));
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
/* "gensim/models/word2vec_inner.pyx":629
*
* init_w2v_config(&c, model, alpha, compute_loss, _work, _neu1)
* if c.sample: # <<<<<<<<<<<<<<
* vocab_sample_ints = np.PyArray_DATA(model.wv.expandos['sample_int'])
* if c.hs:
*/
}
/* "gensim/models/word2vec_inner.pyx":631
* if c.sample:
* vocab_sample_ints =