/* Generated by Cython 0.29.36 */
/* BEGIN: Cython Metadata
{
"distutils": {
"depends": [
"gensim/models/fast_line_sentence.h",
"gensim/models/voidptr.h"
],
"extra_compile_args": [
"-std=c++11"
],
"extra_link_args": [
"-std=c++11"
],
"include_dirs": [
"gensim/models",
"./gensim/models"
],
"language": "c++",
"name": "gensim.models.doc2vec_corpusfile",
"sources": [
"gensim/models/doc2vec_corpusfile.pyx"
]
},
"module_name": "gensim.models.doc2vec_corpusfile"
}
END: Cython Metadata */
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#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+.
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#define CYTHON_HEX_VERSION 0x001D24F0
#define CYTHON_FUTURE_DIVISION 1
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#define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
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#define CYTHON_USE_DICT_VERSIONS ((PY_VERSION_HEX >= 0x030600B1) && (PY_VERSION_HEX < 0x030C00A5))
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#undef CYTHON_USE_EXC_INFO_STACK
#define CYTHON_USE_EXC_INFO_STACK 0
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#define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3)
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#include "longintrepr.h"
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#undef SHIFT
#undef BASE
#undef MASK
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enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) };
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#define CYTHON_RESTRICT
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#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)
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#ifndef CYTHON_NCP_UNUSED
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# define CYTHON_NCP_UNUSED CYTHON_UNUSED
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#if _MSC_VER < 1300
typedef unsigned char uint8_t;
typedef unsigned int uint32_t;
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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
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#if __apple_build_version__ < 7000000
#undef CYTHON_FALLTHROUGH
#define CYTHON_FALLTHROUGH
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#ifndef __cplusplus
#error "Cython files generated with the C++ option must be compiled with a C++ compiler."
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#ifndef CYTHON_INLINE
#if defined(__clang__)
#define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
#else
#define CYTHON_INLINE inline
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template
void __Pyx_call_destructor(T& x) {
x.~T();
}
template
class __Pyx_FakeReference {
public:
__Pyx_FakeReference() : ptr(NULL) { }
__Pyx_FakeReference(const T& ref) : ptr(const_cast(&ref)) { }
T *operator->() { return ptr; }
T *operator&() { return ptr; }
operator T&() { return *ptr; }
template bool operator ==(U other) { return *ptr == other; }
template bool operator !=(U other) { return *ptr != other; }
private:
T *ptr;
};
#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)
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#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);
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#ifndef PyUnicode_InternFromString
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#define __PYX_HAVE__gensim__models__doc2vec_corpusfile
#define __PYX_HAVE_API__gensim__models__doc2vec_corpusfile
/* 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
#include "ios"
#include "new"
#include "stdexcept"
#include "typeinfo"
#include
#include "voidptr.h"
#include
#if __cplusplus >= 201103L || (defined(_MSC_VER) && _MSC_VER >= 1600)
// move should be defined for these versions of MSVC, but __cplusplus isn't set usefully
#include
namespace cython_std {
template typename std::remove_reference::type&& move(T& t) noexcept { return std::move(t); }
template typename std::remove_reference::type&& move(T&& t) noexcept { return std::move(t); }
}
#endif
#include
#include "fast_line_sentence.h"
#ifdef _OPENMP
#include
#endif /* _OPENMP */
#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
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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)
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#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
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#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\
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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 ||\
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#include
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#elif SIZEOF_INT >= SIZEOF_SIZE_T
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#define __Pyx_sst_abs(value) labs(value)
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#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
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#elif defined (__GNUC__)
#define __Pyx_sst_abs(value) __builtin_llabs(value)
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#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
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#define __Pyx_PyBytes_FromString PyBytes_FromString
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
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#define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
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#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s))
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const Py_UNICODE *u_end = u;
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#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*);
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static int __Pyx_sys_getdefaultencoding_not_ascii;
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PyObject* default_encoding = NULL;
PyObject* ascii_chars_u = NULL;
PyObject* ascii_chars_b = NULL;
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sys = PyImport_ImportModule("sys");
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default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
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default_encoding_c);
goto bad;
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Py_DECREF(ascii_chars_u);
Py_DECREF(ascii_chars_b);
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Py_DECREF(default_encoding);
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bad:
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Py_XDECREF(ascii_chars_u);
Py_XDECREF(ascii_chars_b);
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#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
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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;
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#define unlikely(x) __builtin_expect(!!(x), 0)
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#define likely(x) (x)
#define unlikely(x) (x)
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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;
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#if defined(__cplusplus)
#define CYTHON_CCOMPLEX 1
#elif defined(_Complex_I)
#define CYTHON_CCOMPLEX 1
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#define CYTHON_CCOMPLEX 0
#endif
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#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
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static const char *__pyx_f[] = {
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"__init__.pxd",
"type.pxd",
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#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;
/* "gensim/models/word2vec_corpusfile.pxd":22
* cimport numpy as np
*
* ctypedef np.float32_t REAL_t # <<<<<<<<<<<<<<
*
*
*/
typedef __pyx_t_5numpy_float32_t __pyx_t_6gensim_6models_19word2vec_corpusfile_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 ---*/
struct __pyx_obj_6gensim_6models_19word2vec_corpusfile_CythonLineSentence;
struct __pyx_obj_6gensim_6models_19word2vec_corpusfile_CythonVocab;
/* "../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;
};
struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig;
struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config;
/* "gensim/models/doc2vec_inner.pxd":24
*
*
* cdef struct Doc2VecConfig: # <<<<<<<<<<<<<<
* int hs, negative, sample, learn_doctags, learn_words, learn_hidden, train_words, cbow_mean
* int document_len, doctag_len, window, expected_doctag_len, null_word_index, workers, docvecs_count
*/
struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig {
int hs;
int negative;
int sample;
int learn_doctags;
int learn_words;
int learn_hidden;
int train_words;
int cbow_mean;
int document_len;
int doctag_len;
int window;
int expected_doctag_len;
int null_word_index;
int workers;
int docvecs_count;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *word_vectors;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *doctag_vectors;
__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 *doctags_lockf;
__pyx_t_5numpy_uint32_t doctags_lockf_len;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *work;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *neu1;
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t alpha;
int layer1_size;
int vector_size;
int codelens[0x2710];
__pyx_t_5numpy_uint32_t indexes[0x2710];
__pyx_t_5numpy_uint32_t doctag_indexes[0x2710];
__pyx_t_5numpy_uint32_t window_indexes[0x2710];
__pyx_t_5numpy_uint32_t reduced_windows[0x2710];
__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/doc2vec_inner.pxd":95
*
*
* cdef init_d2v_config(Doc2VecConfig *c, model, alpha, learn_doctags, learn_words, learn_hidden, train_words=*, work=*, # <<<<<<<<<<<<<<
* neu1=*, word_vectors=*, words_lockf=*, doctag_vectors=*, doctags_lockf=*, docvecs_count=*)
*/
struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config {
int __pyx_n;
PyObject *train_words;
PyObject *work;
PyObject *neu1;
PyObject *word_vectors;
PyObject *words_lockf;
PyObject *doctag_vectors;
PyObject *doctags_lockf;
PyObject *docvecs_count;
};
struct __pyx_t_6gensim_6models_19word2vec_corpusfile_VocabItem;
/* "gensim/models/word2vec_corpusfile.pxd":48
*
*
* cdef struct VocabItem: # <<<<<<<<<<<<<<
* long long sample_int
* np.uint32_t index
*/
struct __pyx_t_6gensim_6models_19word2vec_corpusfile_VocabItem {
PY_LONG_LONG sample_int;
__pyx_t_5numpy_uint32_t index;
__pyx_t_5numpy_uint8_t *code;
int code_len;
__pyx_t_5numpy_uint32_t *point;
int subword_idx_len;
__pyx_t_5numpy_uint32_t *subword_idx;
};
/* "gensim/models/word2vec_corpusfile.pxd":60
*
*
* ctypedef unordered_map[string, VocabItem] cvocab_t # <<<<<<<<<<<<<<
*
* cdef class CythonVocab:
*/
typedef std::unordered_map __pyx_t_6gensim_6models_19word2vec_corpusfile_cvocab_t;
/* "gensim/models/word2vec_corpusfile.pxd":34
*
*
* cdef class CythonLineSentence: # <<<<<<<<<<<<<<
* cdef FastLineSentence* _thisptr
* cdef public bytes source
*/
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static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
/* Module declarations from 'cython' */
/* 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 'libcpp.string' */
/* Module declarations from 'libcpp.vector' */
/* Module declarations from 'gensim.models.word2vec_inner' */
static __pyx_t_6gensim_6models_14word2vec_inner_scopy_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_scopy = 0;
#define __pyx_v_6gensim_6models_14word2vec_inner_scopy (*__pyx_vp_6gensim_6models_14word2vec_inner_scopy)
static __pyx_t_6gensim_6models_14word2vec_inner_saxpy_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_saxpy = 0;
#define __pyx_v_6gensim_6models_14word2vec_inner_saxpy (*__pyx_vp_6gensim_6models_14word2vec_inner_saxpy)
static __pyx_t_6gensim_6models_14word2vec_inner_sdot_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_sdot = 0;
#define __pyx_v_6gensim_6models_14word2vec_inner_sdot (*__pyx_vp_6gensim_6models_14word2vec_inner_sdot)
static __pyx_t_6gensim_6models_14word2vec_inner_dsdot_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_dsdot = 0;
#define __pyx_v_6gensim_6models_14word2vec_inner_dsdot (*__pyx_vp_6gensim_6models_14word2vec_inner_dsdot)
static __pyx_t_6gensim_6models_14word2vec_inner_snrm2_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_snrm2 = 0;
#define __pyx_v_6gensim_6models_14word2vec_inner_snrm2 (*__pyx_vp_6gensim_6models_14word2vec_inner_snrm2)
static __pyx_t_6gensim_6models_14word2vec_inner_sscal_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_sscal = 0;
#define __pyx_v_6gensim_6models_14word2vec_inner_sscal (*__pyx_vp_6gensim_6models_14word2vec_inner_sscal)
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t (*__pyx_vp_6gensim_6models_14word2vec_inner_EXP_TABLE)[0x3E8] = 0;
#define __pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE (*__pyx_vp_6gensim_6models_14word2vec_inner_EXP_TABLE)
static __pyx_t_6gensim_6models_14word2vec_inner_our_dot_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_our_dot = 0;
#define __pyx_v_6gensim_6models_14word2vec_inner_our_dot (*__pyx_vp_6gensim_6models_14word2vec_inner_our_dot)
static __pyx_t_6gensim_6models_14word2vec_inner_our_saxpy_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_our_saxpy = 0;
#define __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy (*__pyx_vp_6gensim_6models_14word2vec_inner_our_saxpy)
static unsigned PY_LONG_LONG (*__pyx_f_6gensim_6models_14word2vec_inner_random_int32)(unsigned PY_LONG_LONG *); /*proto*/
/* Module declarations from 'gensim.models.doc2vec_inner' */
static void (*__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_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 *, int, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_5numpy_uint32_t const ); /*proto*/
static unsigned PY_LONG_LONG (*__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_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, int, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_5numpy_uint32_t const ); /*proto*/
static void (*__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_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 const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int); /*proto*/
static unsigned PY_LONG_LONG (*__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_neg)(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int); /*proto*/
static void (*__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_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 const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int const , int); /*proto*/
static unsigned PY_LONG_LONG (*__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_neg)(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int const , int); /*proto*/
static PyObject *(*__pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config)(struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig *, PyObject *, PyObject *, PyObject *, PyObject *, PyObject *, struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config *__pyx_optional_args); /*proto*/
/* Module declarations from 'libcpp.utility' */
/* Module declarations from 'libcpp.unordered_map' */
/* Module declarations from 'libcpp' */
/* Module declarations from 'gensim.models.word2vec_corpusfile' */
static PyTypeObject *__pyx_ptype_6gensim_6models_19word2vec_corpusfile_CythonLineSentence = 0;
static PyTypeObject *__pyx_ptype_6gensim_6models_19word2vec_corpusfile_CythonVocab = 0;
static __pyx_t_6gensim_6models_19word2vec_corpusfile_REAL_t (*__pyx_f_6gensim_6models_19word2vec_corpusfile_get_alpha)(__pyx_t_6gensim_6models_19word2vec_corpusfile_REAL_t, __pyx_t_6gensim_6models_19word2vec_corpusfile_REAL_t, int, int); /*proto*/
static __pyx_t_6gensim_6models_19word2vec_corpusfile_REAL_t (*__pyx_f_6gensim_6models_19word2vec_corpusfile_get_next_alpha)(__pyx_t_6gensim_6models_19word2vec_corpusfile_REAL_t, __pyx_t_6gensim_6models_19word2vec_corpusfile_REAL_t, PY_LONG_LONG, PY_LONG_LONG, PY_LONG_LONG, PY_LONG_LONG, int, int); /*proto*/
/* Module declarations from 'gensim.models.doc2vec_corpusfile' */
static int __pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE;
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_18doc2vec_corpusfile_ONEF;
static void __pyx_f_6gensim_6models_18doc2vec_corpusfile_prepare_c_structures_for_batch(std::vector &, int, int, int, PY_LONG_LONG *, int *, unsigned PY_LONG_LONG *, __pyx_t_6gensim_6models_19word2vec_corpusfile_cvocab_t *, __pyx_t_5numpy_uint32_t *, int *, __pyx_t_5numpy_uint8_t **, __pyx_t_5numpy_uint32_t **, __pyx_t_5numpy_uint32_t *, int *, int, int, int, int); /*proto*/
#define __Pyx_MODULE_NAME "gensim.models.doc2vec_corpusfile"
extern int __pyx_module_is_main_gensim__models__doc2vec_corpusfile;
int __pyx_module_is_main_gensim__models__doc2vec_corpusfile = 0;
/* Implementation of 'gensim.models.doc2vec_corpusfile' */
static PyObject *__pyx_builtin_ImportError;
static PyObject *__pyx_builtin_range;
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_m[] = "m";
static const char __pyx_k_n[] = "n";
static const char __pyx_k__3[] = "*";
static const char __pyx_k_np[] = "np";
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_test[] = "__test__";
static const char __pyx_k_work[] = "work";
static const char __pyx_k_alpha[] = "alpha";
static const char __pyx_k_count[] = "count";
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_range[] = "range";
static const char __pyx_k_vocab[] = "vocab";
static const char __pyx_k_epochs[] = "epochs";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_offset[] = "offset";
static const char __pyx_k_alpha_2[] = "_alpha";
static const char __pyx_k_doc_tag[] = "_doc_tag";
static const char __pyx_k_idx_end[] = "idx_end";
static const char __pyx_k_sent_idx[] = "sent_idx";
static const char __pyx_k_cur_epoch[] = "_cur_epoch";
static const char __pyx_k_doc_words[] = "doc_words";
static const char __pyx_k_end_alpha[] = "end_alpha";
static const char __pyx_k_idx_start[] = "idx_start";
static const char __pyx_k_inv_count[] = "inv_count";
static const char __pyx_k_min_alpha[] = "min_alpha";
static const char __pyx_k_num_epochs[] = "num_epochs";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_ImportError[] = "ImportError";
static const char __pyx_k_corpus_file[] = "corpus_file";
static const char __pyx_k_cur_epoch_2[] = "cur_epoch";
static const char __pyx_k_learn_words[] = "learn_words";
static const char __pyx_k_start_alpha[] = "start_alpha";
static const char __pyx_k_total_words[] = "total_words";
static const char __pyx_k_train_words[] = "train_words";
static const char __pyx_k_words_lockf[] = "words_lockf";
static const char __pyx_k_cython_vocab[] = "_cython_vocab";
static const char __pyx_k_document_len[] = "document_len";
static const char __pyx_k_input_stream[] = "input_stream";
static const char __pyx_k_learn_hidden[] = "learn_hidden";
static const char __pyx_k_start_doctag[] = "start_doctag";
static const char __pyx_k_word_vectors[] = "word_vectors";
static const char __pyx_k_doctags_lockf[] = "doctags_lockf";
static const char __pyx_k_docvecs_count[] = "docvecs_count";
static const char __pyx_k_learn_doctags[] = "learn_doctags";
static const char __pyx_k_doctag_vectors[] = "doctag_vectors";
static const char __pyx_k_expected_words[] = "_expected_words";
static const char __pyx_k_shrink_windows[] = "shrink_windows";
static const char __pyx_k_effective_words[] = "effective_words";
static const char __pyx_k_total_documents[] = "total_documents";
static const char __pyx_k_expected_words_2[] = "expected_words";
static const char __pyx_k_expected_examples[] = "_expected_examples";
static const char __pyx_k_scipy_linalg_blas[] = "scipy.linalg.blas";
static const char __pyx_k_CORPUSFILE_VERSION[] = "CORPUSFILE_VERSION";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_d2v_train_epoch_dm[] = "d2v_train_epoch_dm";
static const char __pyx_k_expected_examples_2[] = "expected_examples";
static const char __pyx_k_d2v_train_epoch_dbow[] = "d2v_train_epoch_dbow";
static const char __pyx_k_total_effective_words[] = "total_effective_words";
static const char __pyx_k_d2v_train_epoch_dm_concat[] = "d2v_train_epoch_dm_concat";
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_f[] = "Optimized cython functions for file-based training :class:`~gensim.models.doc2vec.Doc2Vec` model.";
static const char __pyx_k_gensim_models_doc2vec_corpusfile[] = "gensim/models/doc2vec_corpusfile.pyx";
static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import";
static const char __pyx_k_gensim_models_doc2vec_corpusfile_2[] = "gensim.models.doc2vec_corpusfile";
static PyObject *__pyx_n_s_CORPUSFILE_VERSION;
static PyObject *__pyx_n_s_ImportError;
static PyObject *__pyx_n_s__3;
static PyObject *__pyx_n_s_alpha;
static PyObject *__pyx_n_s_alpha_2;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_n_s_corpus_file;
static PyObject *__pyx_n_s_count;
static PyObject *__pyx_n_s_cur_epoch;
static PyObject *__pyx_n_s_cur_epoch_2;
static PyObject *__pyx_n_s_cython_vocab;
static PyObject *__pyx_n_s_d2v_train_epoch_dbow;
static PyObject *__pyx_n_s_d2v_train_epoch_dm;
static PyObject *__pyx_n_s_d2v_train_epoch_dm_concat;
static PyObject *__pyx_n_s_doc_tag;
static PyObject *__pyx_n_s_doc_words;
static PyObject *__pyx_n_s_doctag_vectors;
static PyObject *__pyx_n_s_doctags_lockf;
static PyObject *__pyx_n_s_document_len;
static PyObject *__pyx_n_s_docvecs_count;
static PyObject *__pyx_n_s_effective_words;
static PyObject *__pyx_n_s_end_alpha;
static PyObject *__pyx_n_s_epochs;
static PyObject *__pyx_n_s_expected_examples;
static PyObject *__pyx_n_s_expected_examples_2;
static PyObject *__pyx_n_s_expected_words;
static PyObject *__pyx_n_s_expected_words_2;
static PyObject *__pyx_n_s_fblas;
static PyObject *__pyx_kp_s_gensim_models_doc2vec_corpusfile;
static PyObject *__pyx_n_s_gensim_models_doc2vec_corpusfile_2;
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_input_stream;
static PyObject *__pyx_n_s_inv_count;
static PyObject *__pyx_n_s_j;
static PyObject *__pyx_n_s_k;
static PyObject *__pyx_n_s_learn_doctags;
static PyObject *__pyx_n_s_learn_hidden;
static PyObject *__pyx_n_s_learn_words;
static PyObject *__pyx_n_s_m;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_min_alpha;
static PyObject *__pyx_n_s_model;
static PyObject *__pyx_n_s_n;
static PyObject *__pyx_n_s_name;
static PyObject *__pyx_n_s_neu1;
static PyObject *__pyx_n_s_np;
static PyObject *__pyx_n_s_num_epochs;
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_offset;
static PyObject *__pyx_n_s_pyx_vtable;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_scipy_linalg_blas;
static PyObject *__pyx_n_s_sent_idx;
static PyObject *__pyx_n_s_shrink_windows;
static PyObject *__pyx_n_s_start_alpha;
static PyObject *__pyx_n_s_start_doctag;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_n_s_total_documents;
static PyObject *__pyx_n_s_total_effective_words;
static PyObject *__pyx_n_s_total_words;
static PyObject *__pyx_n_s_train_words;
static PyObject *__pyx_n_s_vocab;
static PyObject *__pyx_n_s_word_vectors;
static PyObject *__pyx_n_s_words_lockf;
static PyObject *__pyx_n_s_work;
static PyObject *__pyx_pf_6gensim_6models_18doc2vec_corpusfile_d2v_train_epoch_dbow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_corpus_file, PyObject *__pyx_v_offset, PyObject *__pyx_v_start_doctag, PyObject *__pyx_v__cython_vocab, PyObject *__pyx_v__cur_epoch, PyObject *__pyx_v__expected_examples, PyObject *__pyx_v__expected_words, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_docvecs_count, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_words_lockf, PyObject *__pyx_v_train_words, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctags_lockf); /* proto */
static PyObject *__pyx_pf_6gensim_6models_18doc2vec_corpusfile_2d2v_train_epoch_dm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_corpus_file, PyObject *__pyx_v_offset, PyObject *__pyx_v_start_doctag, PyObject *__pyx_v__cython_vocab, PyObject *__pyx_v__cur_epoch, PyObject *__pyx_v__expected_examples, PyObject *__pyx_v__expected_words, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_docvecs_count, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_words_lockf, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctags_lockf); /* proto */
static PyObject *__pyx_pf_6gensim_6models_18doc2vec_corpusfile_4d2v_train_epoch_dm_concat(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_corpus_file, PyObject *__pyx_v_offset, PyObject *__pyx_v_start_doctag, PyObject *__pyx_v__cython_vocab, PyObject *__pyx_v__cur_epoch, PyObject *__pyx_v__expected_examples, PyObject *__pyx_v__expected_words, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_docvecs_count, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_words_lockf, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctags_lockf); /* proto */
static PyObject *__pyx_int_1;
static PyObject *__pyx_tuple_;
static PyObject *__pyx_tuple__2;
static PyObject *__pyx_tuple__4;
static PyObject *__pyx_tuple__6;
static PyObject *__pyx_tuple__8;
static PyObject *__pyx_codeobj__5;
static PyObject *__pyx_codeobj__7;
static PyObject *__pyx_codeobj__9;
/* Late includes */
/* "gensim/models/doc2vec_corpusfile.pyx":58
*
*
* cdef void prepare_c_structures_for_batch( # <<<<<<<<<<<<<<
* vector[string] &doc_words, int sample, int hs, int window, long long *total_words,
* int *effective_words, unsigned long long *next_random, cvocab_t *vocab,
*/
static void __pyx_f_6gensim_6models_18doc2vec_corpusfile_prepare_c_structures_for_batch(std::vector &__pyx_v_doc_words, int __pyx_v_sample, int __pyx_v_hs, int __pyx_v_window, PY_LONG_LONG *__pyx_v_total_words, int *__pyx_v_effective_words, unsigned PY_LONG_LONG *__pyx_v_next_random, __pyx_t_6gensim_6models_19word2vec_corpusfile_cvocab_t *__pyx_v_vocab, __pyx_t_5numpy_uint32_t *__pyx_v_indexes, int *__pyx_v_codelens, __pyx_t_5numpy_uint8_t **__pyx_v_codes, __pyx_t_5numpy_uint32_t **__pyx_v_points, __pyx_t_5numpy_uint32_t *__pyx_v_reduced_windows, int *__pyx_v_document_len, int __pyx_v_train_words, int __pyx_v_docvecs_count, int __pyx_v_doc_tag, int __pyx_v_shrink_windows) {
struct __pyx_t_6gensim_6models_19word2vec_corpusfile_VocabItem __pyx_v_predict_word;
std::string __pyx_v_token;
int __pyx_v_i;
long __pyx_t_1;
std::vector ::iterator __pyx_t_2;
std::string __pyx_t_3;
int __pyx_t_4;
int __pyx_t_5;
__pyx_t_5numpy_uint32_t __pyx_t_6;
int __pyx_t_7;
__pyx_t_5numpy_uint8_t *__pyx_t_8;
__pyx_t_5numpy_uint32_t *__pyx_t_9;
int __pyx_t_10;
int __pyx_t_11;
/* "gensim/models/doc2vec_corpusfile.pyx":67
* cdef VocabItem predict_word
* cdef string token
* cdef int i = 0 # <<<<<<<<<<<<<<
*
* total_words[0] += doc_words.size()
*/
__pyx_v_i = 0;
/* "gensim/models/doc2vec_corpusfile.pyx":69
* cdef int i = 0
*
* total_words[0] += doc_words.size() # <<<<<<<<<<<<<<
*
* for token in doc_words:
*/
__pyx_t_1 = 0;
(__pyx_v_total_words[__pyx_t_1]) = ((__pyx_v_total_words[__pyx_t_1]) + __pyx_v_doc_words.size());
/* "gensim/models/doc2vec_corpusfile.pyx":71
* total_words[0] += doc_words.size()
*
* for token in doc_words: # <<<<<<<<<<<<<<
* if vocab[0].find(token) == vocab[0].end(): # shrink document to leave out word
* continue # leaving i unchanged
*/
__pyx_t_2 = __pyx_v_doc_words.begin();
for (;;) {
if (!(__pyx_t_2 != __pyx_v_doc_words.end())) break;
__pyx_t_3 = *__pyx_t_2;
++__pyx_t_2;
__pyx_v_token = __pyx_t_3;
/* "gensim/models/doc2vec_corpusfile.pyx":72
*
* for token in doc_words:
* if vocab[0].find(token) == vocab[0].end(): # shrink document to leave out word # <<<<<<<<<<<<<<
* continue # leaving i unchanged
*
*/
__pyx_t_4 = (((__pyx_v_vocab[0]).find(__pyx_v_token) == (__pyx_v_vocab[0]).end()) != 0);
if (__pyx_t_4) {
/* "gensim/models/doc2vec_corpusfile.pyx":73
* for token in doc_words:
* if vocab[0].find(token) == vocab[0].end(): # shrink document to leave out word
* continue # leaving i unchanged # <<<<<<<<<<<<<<
*
* predict_word = vocab[0][token]
*/
goto __pyx_L3_continue;
/* "gensim/models/doc2vec_corpusfile.pyx":72
*
* for token in doc_words:
* if vocab[0].find(token) == vocab[0].end(): # shrink document to leave out word # <<<<<<<<<<<<<<
* continue # leaving i unchanged
*
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":75
* continue # leaving i unchanged
*
* predict_word = vocab[0][token] # <<<<<<<<<<<<<<
* if sample and predict_word.sample_int < random_int32(next_random):
* continue
*/
__pyx_v_predict_word = ((__pyx_v_vocab[0])[__pyx_v_token]);
/* "gensim/models/doc2vec_corpusfile.pyx":76
*
* predict_word = vocab[0][token]
* if sample and predict_word.sample_int < random_int32(next_random): # <<<<<<<<<<<<<<
* continue
* indexes[i] = predict_word.index
*/
__pyx_t_5 = (__pyx_v_sample != 0);
if (__pyx_t_5) {
} else {
__pyx_t_4 = __pyx_t_5;
goto __pyx_L7_bool_binop_done;
}
__pyx_t_5 = ((__pyx_v_predict_word.sample_int < __pyx_f_6gensim_6models_14word2vec_inner_random_int32(__pyx_v_next_random)) != 0);
__pyx_t_4 = __pyx_t_5;
__pyx_L7_bool_binop_done:;
if (__pyx_t_4) {
/* "gensim/models/doc2vec_corpusfile.pyx":77
* predict_word = vocab[0][token]
* if sample and predict_word.sample_int < random_int32(next_random):
* continue # <<<<<<<<<<<<<<
* indexes[i] = predict_word.index
* if hs:
*/
goto __pyx_L3_continue;
/* "gensim/models/doc2vec_corpusfile.pyx":76
*
* predict_word = vocab[0][token]
* if sample and predict_word.sample_int < random_int32(next_random): # <<<<<<<<<<<<<<
* continue
* indexes[i] = predict_word.index
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":78
* if sample and predict_word.sample_int < random_int32(next_random):
* continue
* indexes[i] = predict_word.index # <<<<<<<<<<<<<<
* if hs:
* codelens[i] = predict_word.code_len
*/
__pyx_t_6 = __pyx_v_predict_word.index;
(__pyx_v_indexes[__pyx_v_i]) = __pyx_t_6;
/* "gensim/models/doc2vec_corpusfile.pyx":79
* continue
* indexes[i] = predict_word.index
* if hs: # <<<<<<<<<<<<<<
* codelens[i] = predict_word.code_len
* codes[i] = predict_word.code
*/
__pyx_t_4 = (__pyx_v_hs != 0);
if (__pyx_t_4) {
/* "gensim/models/doc2vec_corpusfile.pyx":80
* indexes[i] = predict_word.index
* if hs:
* codelens[i] = predict_word.code_len # <<<<<<<<<<<<<<
* codes[i] = predict_word.code
* points[i] = predict_word.point
*/
__pyx_t_7 = __pyx_v_predict_word.code_len;
(__pyx_v_codelens[__pyx_v_i]) = __pyx_t_7;
/* "gensim/models/doc2vec_corpusfile.pyx":81
* if hs:
* codelens[i] = predict_word.code_len
* codes[i] = predict_word.code # <<<<<<<<<<<<<<
* points[i] = predict_word.point
*
*/
__pyx_t_8 = __pyx_v_predict_word.code;
(__pyx_v_codes[__pyx_v_i]) = __pyx_t_8;
/* "gensim/models/doc2vec_corpusfile.pyx":82
* codelens[i] = predict_word.code_len
* codes[i] = predict_word.code
* points[i] = predict_word.point # <<<<<<<<<<<<<<
*
* effective_words[0] += 1
*/
__pyx_t_9 = __pyx_v_predict_word.point;
(__pyx_v_points[__pyx_v_i]) = __pyx_t_9;
/* "gensim/models/doc2vec_corpusfile.pyx":79
* continue
* indexes[i] = predict_word.index
* if hs: # <<<<<<<<<<<<<<
* codelens[i] = predict_word.code_len
* codes[i] = predict_word.code
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":84
* points[i] = predict_word.point
*
* effective_words[0] += 1 # <<<<<<<<<<<<<<
* i += 1
* if i == MAX_DOCUMENT_LEN:
*/
__pyx_t_1 = 0;
(__pyx_v_effective_words[__pyx_t_1]) = ((__pyx_v_effective_words[__pyx_t_1]) + 1);
/* "gensim/models/doc2vec_corpusfile.pyx":85
*
* effective_words[0] += 1
* i += 1 # <<<<<<<<<<<<<<
* if i == MAX_DOCUMENT_LEN:
* break # TODO: log warning, tally overflow?
*/
__pyx_v_i = (__pyx_v_i + 1);
/* "gensim/models/doc2vec_corpusfile.pyx":86
* effective_words[0] += 1
* i += 1
* if i == MAX_DOCUMENT_LEN: # <<<<<<<<<<<<<<
* break # TODO: log warning, tally overflow?
* document_len[0] = i
*/
__pyx_t_4 = ((__pyx_v_i == 0x2710) != 0);
if (__pyx_t_4) {
/* "gensim/models/doc2vec_corpusfile.pyx":87
* i += 1
* if i == MAX_DOCUMENT_LEN:
* break # TODO: log warning, tally overflow? # <<<<<<<<<<<<<<
* document_len[0] = i
*
*/
goto __pyx_L4_break;
/* "gensim/models/doc2vec_corpusfile.pyx":86
* effective_words[0] += 1
* i += 1
* if i == MAX_DOCUMENT_LEN: # <<<<<<<<<<<<<<
* break # TODO: log warning, tally overflow?
* document_len[0] = i
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":71
* total_words[0] += doc_words.size()
*
* for token in doc_words: # <<<<<<<<<<<<<<
* if vocab[0].find(token) == vocab[0].end(): # shrink document to leave out word
* continue # leaving i unchanged
*/
__pyx_L3_continue:;
}
__pyx_L4_break:;
/* "gensim/models/doc2vec_corpusfile.pyx":88
* if i == MAX_DOCUMENT_LEN:
* break # TODO: log warning, tally overflow?
* document_len[0] = i # <<<<<<<<<<<<<<
*
* if train_words and reduced_windows != NULL:
*/
(__pyx_v_document_len[0]) = __pyx_v_i;
/* "gensim/models/doc2vec_corpusfile.pyx":90
* document_len[0] = i
*
* if train_words and reduced_windows != NULL: # <<<<<<<<<<<<<<
* if shrink_windows:
* for i in range(document_len[0]):
*/
__pyx_t_5 = (__pyx_v_train_words != 0);
if (__pyx_t_5) {
} else {
__pyx_t_4 = __pyx_t_5;
goto __pyx_L12_bool_binop_done;
}
__pyx_t_5 = ((__pyx_v_reduced_windows != NULL) != 0);
__pyx_t_4 = __pyx_t_5;
__pyx_L12_bool_binop_done:;
if (__pyx_t_4) {
/* "gensim/models/doc2vec_corpusfile.pyx":91
*
* if train_words and reduced_windows != NULL:
* if shrink_windows: # <<<<<<<<<<<<<<
* for i in range(document_len[0]):
* reduced_windows[i] = random_int32(next_random) % window
*/
__pyx_t_4 = (__pyx_v_shrink_windows != 0);
if (__pyx_t_4) {
/* "gensim/models/doc2vec_corpusfile.pyx":92
* if train_words and reduced_windows != NULL:
* if shrink_windows:
* for i in range(document_len[0]): # <<<<<<<<<<<<<<
* reduced_windows[i] = random_int32(next_random) % window
* else:
*/
__pyx_t_7 = (__pyx_v_document_len[0]);
__pyx_t_10 = __pyx_t_7;
for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) {
__pyx_v_i = __pyx_t_11;
/* "gensim/models/doc2vec_corpusfile.pyx":93
* if shrink_windows:
* for i in range(document_len[0]):
* reduced_windows[i] = random_int32(next_random) % window # <<<<<<<<<<<<<<
* else:
* for i in range(document_len[0]):
*/
(__pyx_v_reduced_windows[__pyx_v_i]) = (__pyx_f_6gensim_6models_14word2vec_inner_random_int32(__pyx_v_next_random) % __pyx_v_window);
}
/* "gensim/models/doc2vec_corpusfile.pyx":91
*
* if train_words and reduced_windows != NULL:
* if shrink_windows: # <<<<<<<<<<<<<<
* for i in range(document_len[0]):
* reduced_windows[i] = random_int32(next_random) % window
*/
goto __pyx_L14;
}
/* "gensim/models/doc2vec_corpusfile.pyx":95
* reduced_windows[i] = random_int32(next_random) % window
* else:
* for i in range(document_len[0]): # <<<<<<<<<<<<<<
* reduced_windows[i] = 0
*
*/
/*else*/ {
__pyx_t_7 = (__pyx_v_document_len[0]);
__pyx_t_10 = __pyx_t_7;
for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) {
__pyx_v_i = __pyx_t_11;
/* "gensim/models/doc2vec_corpusfile.pyx":96
* else:
* for i in range(document_len[0]):
* reduced_windows[i] = 0 # <<<<<<<<<<<<<<
*
* if doc_tag < docvecs_count:
*/
(__pyx_v_reduced_windows[__pyx_v_i]) = 0;
}
}
__pyx_L14:;
/* "gensim/models/doc2vec_corpusfile.pyx":90
* document_len[0] = i
*
* if train_words and reduced_windows != NULL: # <<<<<<<<<<<<<<
* if shrink_windows:
* for i in range(document_len[0]):
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":98
* reduced_windows[i] = 0
*
* if doc_tag < docvecs_count: # <<<<<<<<<<<<<<
* effective_words[0] += 1
*
*/
__pyx_t_4 = ((__pyx_v_doc_tag < __pyx_v_docvecs_count) != 0);
if (__pyx_t_4) {
/* "gensim/models/doc2vec_corpusfile.pyx":99
*
* if doc_tag < docvecs_count:
* effective_words[0] += 1 # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_1 = 0;
(__pyx_v_effective_words[__pyx_t_1]) = ((__pyx_v_effective_words[__pyx_t_1]) + 1);
/* "gensim/models/doc2vec_corpusfile.pyx":98
* reduced_windows[i] = 0
*
* if doc_tag < docvecs_count: # <<<<<<<<<<<<<<
* effective_words[0] += 1
*
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":58
*
*
* cdef void prepare_c_structures_for_batch( # <<<<<<<<<<<<<<
* vector[string] &doc_words, int sample, int hs, int window, long long *total_words,
* int *effective_words, unsigned long long *next_random, cvocab_t *vocab,
*/
/* function exit code */
}
/* "gensim/models/doc2vec_corpusfile.pyx":102
*
*
* def d2v_train_epoch_dbow( # <<<<<<<<<<<<<<
* model, corpus_file, offset, start_doctag, _cython_vocab, _cur_epoch, _expected_examples,
* _expected_words, work, neu1, docvecs_count, word_vectors=None, words_lockf=None,
*/
/* Python wrapper */
static PyObject *__pyx_pw_6gensim_6models_18doc2vec_corpusfile_1d2v_train_epoch_dbow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gensim_6models_18doc2vec_corpusfile_d2v_train_epoch_dbow[] = "d2v_train_epoch_dbow(model, corpus_file, offset, start_doctag, _cython_vocab, _cur_epoch, _expected_examples, _expected_words, work, neu1, docvecs_count, word_vectors=None, words_lockf=None, train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True, doctag_vectors=None, doctags_lockf=None)\nTrain distributed bag of words model (\"PV-DBOW\") by training on a corpus file.\n\n Called internally from :meth:`~gensim.models.doc2vec.Doc2Vec.train`.\n\n Parameters\n ----------\n model : :class:`~gensim.models.doc2vec.Doc2Vec`\n The FastText model instance to train.\n corpus_file : str\n Path to corpus file.\n _cur_epoch : int\n Current epoch number. Used for calculating and decaying 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 train_words : bool, optional\n Word vectors will be updated exactly as per Word2Vec skip-gram training only if **both** `learn_words`\n and `train_words` are set to True.\n learn_doctags : bool, optional\n Whether the tag vectors should be updated.\n learn_words : bool, optional\n Word vectors will be updated exactly as per Word2Vec skip-gram training only if **both**\n `learn_words` and `train_words` are set to True.\n learn_hidden : bool, optional\n Whether or not the weights of the hidden layer will be updated.\n word_vectors : numpy.ndarray, optional\n The vector representation for each word in the vocabulary. If None, these will be retrieved from the model.\n words_lockf : numpy.ndarray, optional\n EXPERIMENTAL. A learning lock factor for each word-vector, value 0.0 completely blocks updates, a value\n of 1.0 allows normal updates to word-vectors.\n doctag_vectors : numpy.ndarray, optional\n Vector representations of the tags. If None, these will be retrieved from the model.\n doctags_""lockf : numpy.ndarray, optional\n EXPERIMENTAL. The lock factors for each tag, same as `words_lockf`, but for document-vectors.\n\n Returns\n -------\n int\n Number of words in the input document that were actually used for training.\n\n ";
static PyMethodDef __pyx_mdef_6gensim_6models_18doc2vec_corpusfile_1d2v_train_epoch_dbow = {"d2v_train_epoch_dbow", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gensim_6models_18doc2vec_corpusfile_1d2v_train_epoch_dbow, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_18doc2vec_corpusfile_d2v_train_epoch_dbow};
static PyObject *__pyx_pw_6gensim_6models_18doc2vec_corpusfile_1d2v_train_epoch_dbow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
PyObject *__pyx_v_model = 0;
PyObject *__pyx_v_corpus_file = 0;
PyObject *__pyx_v_offset = 0;
PyObject *__pyx_v_start_doctag = 0;
PyObject *__pyx_v__cython_vocab = 0;
PyObject *__pyx_v__cur_epoch = 0;
PyObject *__pyx_v__expected_examples = 0;
PyObject *__pyx_v__expected_words = 0;
PyObject *__pyx_v_work = 0;
PyObject *__pyx_v_neu1 = 0;
PyObject *__pyx_v_docvecs_count = 0;
PyObject *__pyx_v_word_vectors = 0;
PyObject *__pyx_v_words_lockf = 0;
PyObject *__pyx_v_train_words = 0;
PyObject *__pyx_v_learn_doctags = 0;
PyObject *__pyx_v_learn_words = 0;
PyObject *__pyx_v_learn_hidden = 0;
PyObject *__pyx_v_doctag_vectors = 0;
PyObject *__pyx_v_doctags_lockf = 0;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
PyObject *__pyx_r = 0;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("d2v_train_epoch_dbow (wrapper)", 0);
{
static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_model,&__pyx_n_s_corpus_file,&__pyx_n_s_offset,&__pyx_n_s_start_doctag,&__pyx_n_s_cython_vocab,&__pyx_n_s_cur_epoch,&__pyx_n_s_expected_examples,&__pyx_n_s_expected_words,&__pyx_n_s_work,&__pyx_n_s_neu1,&__pyx_n_s_docvecs_count,&__pyx_n_s_word_vectors,&__pyx_n_s_words_lockf,&__pyx_n_s_train_words,&__pyx_n_s_learn_doctags,&__pyx_n_s_learn_words,&__pyx_n_s_learn_hidden,&__pyx_n_s_doctag_vectors,&__pyx_n_s_doctags_lockf,0};
PyObject* values[19] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
/* "gensim/models/doc2vec_corpusfile.pyx":104
* def d2v_train_epoch_dbow(
* model, corpus_file, offset, start_doctag, _cython_vocab, _cur_epoch, _expected_examples,
* _expected_words, work, neu1, docvecs_count, word_vectors=None, words_lockf=None, # <<<<<<<<<<<<<<
* train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
* doctag_vectors=None, doctags_lockf=None,
*/
values[11] = ((PyObject *)Py_None);
values[12] = ((PyObject *)Py_None);
/* "gensim/models/doc2vec_corpusfile.pyx":105
* model, corpus_file, offset, start_doctag, _cython_vocab, _cur_epoch, _expected_examples,
* _expected_words, work, neu1, docvecs_count, word_vectors=None, words_lockf=None,
* train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True, # <<<<<<<<<<<<<<
* doctag_vectors=None, doctags_lockf=None,
* ):
*/
values[13] = ((PyObject *)Py_False);
values[14] = ((PyObject *)Py_True);
values[15] = ((PyObject *)Py_True);
values[16] = ((PyObject *)Py_True);
/* "gensim/models/doc2vec_corpusfile.pyx":106
* _expected_words, work, neu1, docvecs_count, word_vectors=None, words_lockf=None,
* train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
* doctag_vectors=None, doctags_lockf=None, # <<<<<<<<<<<<<<
* ):
* """Train distributed bag of words model ("PV-DBOW") by training on a corpus file.
*/
values[17] = ((PyObject *)Py_None);
values[18] = ((PyObject *)Py_None);
if (unlikely(__pyx_kwds)) {
Py_ssize_t kw_args;
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
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CYTHON_FALLTHROUGH;
case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
CYTHON_FALLTHROUGH;
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* cdef int sent_idx, idx_start, idx_end
*/
__pyx_v_total_documents = 0;
/* "gensim/models/doc2vec_corpusfile.pyx":166
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* cdef long long total_documents = 0
* cdef long long total_effective_words = 0, total_words = 0 # <<<<<<<<<<<<<<
* cdef int sent_idx, idx_start, idx_end
* cdef int shrink_windows = int(model.shrink_windows)
*/
__pyx_v_total_effective_words = 0;
__pyx_v_total_words = 0;
/* "gensim/models/doc2vec_corpusfile.pyx":168
* cdef long long total_effective_words = 0, total_words = 0
* cdef int sent_idx, idx_start, idx_end
* cdef int shrink_windows = int(model.shrink_windows) # <<<<<<<<<<<<<<
*
* cdef vector[string] doc_words
*/
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__pyx_v_shrink_windows = __pyx_t_1;
/* "gensim/models/doc2vec_corpusfile.pyx":171
*
* cdef vector[string] doc_words
* cdef long long _doc_tag = start_doctag # <<<<<<<<<<<<<<
*
* init_d2v_config(
*/
__pyx_t_3 = __Pyx_PyInt_As_PY_LONG_LONG(__pyx_v_start_doctag); if (unlikely((__pyx_t_3 == (PY_LONG_LONG)-1) && PyErr_Occurred())) __PYX_ERR(0, 171, __pyx_L1_error)
__pyx_v__doc_tag = __pyx_t_3;
/* "gensim/models/doc2vec_corpusfile.pyx":174
*
* init_d2v_config(
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* work=work, neu1=neu1, word_vectors=word_vectors, words_lockf=words_lockf,
* doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf, docvecs_count=docvecs_count)
*/
__pyx_t_2 = PyFloat_FromDouble(__pyx_v__alpha); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 174, __pyx_L1_error)
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/* "gensim/models/doc2vec_corpusfile.pyx":173
* cdef long long _doc_tag = start_doctag
*
* init_d2v_config( # <<<<<<<<<<<<<<
* &c, model, _alpha, learn_doctags, learn_words, learn_hidden, train_words=train_words,
* work=work, neu1=neu1, word_vectors=word_vectors, words_lockf=words_lockf,
*/
__pyx_t_9.__pyx_n = 8;
__pyx_t_9.train_words = __pyx_v_train_words;
__pyx_t_9.work = __pyx_v_work;
__pyx_t_9.neu1 = __pyx_v_neu1;
__pyx_t_9.word_vectors = __pyx_v_word_vectors;
__pyx_t_9.words_lockf = __pyx_v_words_lockf;
__pyx_t_9.doctag_vectors = __pyx_v_doctag_vectors;
__pyx_t_9.doctags_lockf = __pyx_v_doctags_lockf;
__pyx_t_9.docvecs_count = __pyx_v_docvecs_count;
__pyx_t_8 = __pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config((&__pyx_v_c), __pyx_v_model, __pyx_t_2, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, &__pyx_t_9); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 173, __pyx_L1_error)
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/* "gensim/models/doc2vec_corpusfile.pyx":179
*
* # release GIL & train on the full corpus, document by document
* with nogil: # <<<<<<<<<<<<<<
* input_stream.reset()
* while not (input_stream.is_eof() or total_words > expected_words / c.workers):
*/
{
#ifdef WITH_THREAD
PyThreadState *_save;
Py_UNBLOCK_THREADS
__Pyx_FastGIL_Remember();
#endif
/*try:*/ {
/* "gensim/models/doc2vec_corpusfile.pyx":180
* # release GIL & train on the full corpus, document by document
* with nogil:
* input_stream.reset() # <<<<<<<<<<<<<<
* while not (input_stream.is_eof() or total_words > expected_words / c.workers):
* effective_words = 0
*/
((struct __pyx_vtabstruct_6gensim_6models_19word2vec_corpusfile_CythonLineSentence *)__pyx_v_input_stream->__pyx_vtab)->reset(__pyx_v_input_stream, 0);
/* "gensim/models/doc2vec_corpusfile.pyx":181
* with nogil:
* input_stream.reset()
* while not (input_stream.is_eof() or total_words > expected_words / c.workers): # <<<<<<<<<<<<<<
* effective_words = 0
*
*/
while (1) {
__pyx_t_10 = (((struct __pyx_vtabstruct_6gensim_6models_19word2vec_corpusfile_CythonLineSentence *)__pyx_v_input_stream->__pyx_vtab)->is_eof(__pyx_v_input_stream, 0) != 0);
if (!__pyx_t_10) {
} else {
__pyx_t_4 = __pyx_t_10;
goto __pyx_L8_bool_binop_done;
}
__pyx_t_10 = ((__pyx_v_total_words > (__pyx_v_expected_words / ((PY_LONG_LONG)__pyx_v_c.workers))) != 0);
__pyx_t_4 = __pyx_t_10;
__pyx_L8_bool_binop_done:;
__pyx_t_10 = ((!__pyx_t_4) != 0);
if (!__pyx_t_10) break;
/* "gensim/models/doc2vec_corpusfile.pyx":182
* input_stream.reset()
* while not (input_stream.is_eof() or total_words > expected_words / c.workers):
* effective_words = 0 # <<<<<<<<<<<<<<
*
* doc_words = input_stream.read_sentence()
*/
__pyx_v_effective_words = 0;
/* "gensim/models/doc2vec_corpusfile.pyx":184
* effective_words = 0
*
* doc_words = input_stream.read_sentence() # <<<<<<<<<<<<<<
*
* if doc_words.empty():
*/
__pyx_t_11 = ((struct __pyx_vtabstruct_6gensim_6models_19word2vec_corpusfile_CythonLineSentence *)__pyx_v_input_stream->__pyx_vtab)->read_sentence(__pyx_v_input_stream, 0); if (unlikely(__Pyx_ErrOccurredWithGIL())) __PYX_ERR(0, 184, __pyx_L4_error)
__pyx_v_doc_words = __pyx_t_11;
/* "gensim/models/doc2vec_corpusfile.pyx":186
* doc_words = input_stream.read_sentence()
*
* if doc_words.empty(): # <<<<<<<<<<<<<<
* continue
*
*/
__pyx_t_10 = (__pyx_v_doc_words.empty() != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":187
*
* if doc_words.empty():
* continue # <<<<<<<<<<<<<<
*
* prepare_c_structures_for_batch(
*/
goto __pyx_L6_continue;
/* "gensim/models/doc2vec_corpusfile.pyx":186
* doc_words = input_stream.read_sentence()
*
* if doc_words.empty(): # <<<<<<<<<<<<<<
* continue
*
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":191
* prepare_c_structures_for_batch(
* doc_words, c.sample, c.hs, c.window, &total_words, &effective_words,
* &c.next_random, vocab.get_vocab_ptr(), c.indexes, c.codelens, c.codes, c.points, # <<<<<<<<<<<<<<
* c.reduced_windows, &document_len, c.train_words, c.docvecs_count, _doc_tag, shrink_windows)
*
*/
__pyx_t_12 = ((struct __pyx_vtabstruct_6gensim_6models_19word2vec_corpusfile_CythonVocab *)__pyx_v_vocab->__pyx_vtab)->get_vocab_ptr(__pyx_v_vocab); if (unlikely(__Pyx_ErrOccurredWithGIL())) __PYX_ERR(0, 191, __pyx_L4_error)
/* "gensim/models/doc2vec_corpusfile.pyx":189
* continue
*
* prepare_c_structures_for_batch( # <<<<<<<<<<<<<<
* doc_words, c.sample, c.hs, c.window, &total_words, &effective_words,
* &c.next_random, vocab.get_vocab_ptr(), c.indexes, c.codelens, c.codes, c.points,
*/
__pyx_f_6gensim_6models_18doc2vec_corpusfile_prepare_c_structures_for_batch(__pyx_v_doc_words, __pyx_v_c.sample, __pyx_v_c.hs, __pyx_v_c.window, (&__pyx_v_total_words), (&__pyx_v_effective_words), (&__pyx_v_c.next_random), __pyx_t_12, __pyx_v_c.indexes, __pyx_v_c.codelens, __pyx_v_c.codes, __pyx_v_c.points, __pyx_v_c.reduced_windows, (&__pyx_v_document_len), __pyx_v_c.train_words, __pyx_v_c.docvecs_count, __pyx_v__doc_tag, __pyx_v_shrink_windows);
/* "gensim/models/doc2vec_corpusfile.pyx":194
* c.reduced_windows, &document_len, c.train_words, c.docvecs_count, _doc_tag, shrink_windows)
*
* for i in range(document_len): # <<<<<<<<<<<<<<
* if c.train_words: # simultaneous skip-gram wordvec-training
* j = i - c.window + c.reduced_windows[i]
*/
__pyx_t_1 = __pyx_v_document_len;
__pyx_t_13 = __pyx_t_1;
for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) {
__pyx_v_i = __pyx_t_14;
/* "gensim/models/doc2vec_corpusfile.pyx":195
*
* for i in range(document_len):
* if c.train_words: # simultaneous skip-gram wordvec-training # <<<<<<<<<<<<<<
* j = i - c.window + c.reduced_windows[i]
* if j < 0:
*/
__pyx_t_10 = (__pyx_v_c.train_words != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":196
* for i in range(document_len):
* if c.train_words: # simultaneous skip-gram wordvec-training
* j = i - c.window + c.reduced_windows[i] # <<<<<<<<<<<<<<
* if j < 0:
* j = 0
*/
__pyx_v_j = ((__pyx_v_i - __pyx_v_c.window) + (__pyx_v_c.reduced_windows[__pyx_v_i]));
/* "gensim/models/doc2vec_corpusfile.pyx":197
* if c.train_words: # simultaneous skip-gram wordvec-training
* j = i - c.window + c.reduced_windows[i]
* if j < 0: # <<<<<<<<<<<<<<
* j = 0
* k = i + c.window + 1 - c.reduced_windows[i]
*/
__pyx_t_10 = ((__pyx_v_j < 0) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":198
* j = i - c.window + c.reduced_windows[i]
* if j < 0:
* j = 0 # <<<<<<<<<<<<<<
* k = i + c.window + 1 - c.reduced_windows[i]
* if k > document_len:
*/
__pyx_v_j = 0;
/* "gensim/models/doc2vec_corpusfile.pyx":197
* if c.train_words: # simultaneous skip-gram wordvec-training
* j = i - c.window + c.reduced_windows[i]
* if j < 0: # <<<<<<<<<<<<<<
* j = 0
* k = i + c.window + 1 - c.reduced_windows[i]
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":199
* if j < 0:
* j = 0
* k = i + c.window + 1 - c.reduced_windows[i] # <<<<<<<<<<<<<<
* if k > document_len:
* k = document_len
*/
__pyx_v_k = (((__pyx_v_i + __pyx_v_c.window) + 1) - (__pyx_v_c.reduced_windows[__pyx_v_i]));
/* "gensim/models/doc2vec_corpusfile.pyx":200
* j = 0
* k = i + c.window + 1 - c.reduced_windows[i]
* if k > document_len: # <<<<<<<<<<<<<<
* k = document_len
* for j in range(j, k):
*/
__pyx_t_10 = ((__pyx_v_k > __pyx_v_document_len) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":201
* k = i + c.window + 1 - c.reduced_windows[i]
* if k > document_len:
* k = document_len # <<<<<<<<<<<<<<
* for j in range(j, k):
* if j == i:
*/
__pyx_v_k = __pyx_v_document_len;
/* "gensim/models/doc2vec_corpusfile.pyx":200
* j = 0
* k = i + c.window + 1 - c.reduced_windows[i]
* if k > document_len: # <<<<<<<<<<<<<<
* k = document_len
* for j in range(j, k):
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":202
* if k > document_len:
* k = document_len
* for j in range(j, k): # <<<<<<<<<<<<<<
* if j == i:
* continue
*/
__pyx_t_15 = __pyx_v_k;
__pyx_t_16 = __pyx_t_15;
for (__pyx_t_17 = __pyx_v_j; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) {
__pyx_v_j = __pyx_t_17;
/* "gensim/models/doc2vec_corpusfile.pyx":203
* k = document_len
* for j in range(j, k):
* if j == i: # <<<<<<<<<<<<<<
* continue
* if c.hs:
*/
__pyx_t_10 = ((__pyx_v_j == __pyx_v_i) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":204
* for j in range(j, k):
* if j == i:
* continue # <<<<<<<<<<<<<<
* if c.hs:
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
*/
goto __pyx_L16_continue;
/* "gensim/models/doc2vec_corpusfile.pyx":203
* k = document_len
* for j in range(j, k):
* if j == i: # <<<<<<<<<<<<<<
* continue
* if c.hs:
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":205
* if j == i:
* continue
* if c.hs: # <<<<<<<<<<<<<<
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
* fast_document_dbow_hs(
*/
__pyx_t_10 = (__pyx_v_c.hs != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":207
* if c.hs:
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
* fast_document_dbow_hs( # <<<<<<<<<<<<<<
* c.points[i], c.codes[i], c.codelens[i], c.word_vectors, c.syn1, c.layer1_size,
* c.indexes[j], c.alpha, c.work, c.learn_words, c.learn_hidden, c.words_lockf,
*/
__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_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.word_vectors, __pyx_v_c.syn1, __pyx_v_c.layer1_size, (__pyx_v_c.indexes[__pyx_v_j]), __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.learn_words, __pyx_v_c.learn_hidden, __pyx_v_c.words_lockf, __pyx_v_c.words_lockf_len);
/* "gensim/models/doc2vec_corpusfile.pyx":205
* if j == i:
* continue
* if c.hs: # <<<<<<<<<<<<<<
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
* fast_document_dbow_hs(
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":212
* c.words_lockf_len)
*
* if c.negative: # <<<<<<<<<<<<<<
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
* c.next_random = fast_document_dbow_neg(
*/
__pyx_t_10 = (__pyx_v_c.negative != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":214
* if c.negative:
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
* c.next_random = fast_document_dbow_neg( # <<<<<<<<<<<<<<
* c.negative, c.cum_table, c.cum_table_len, c.word_vectors, c.syn1neg,
* c.layer1_size, c.indexes[i], c.indexes[j], c.alpha, c.work,
*/
__pyx_v_c.next_random = __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg(__pyx_v_c.negative, __pyx_v_c.cum_table, __pyx_v_c.cum_table_len, __pyx_v_c.word_vectors, __pyx_v_c.syn1neg, __pyx_v_c.layer1_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.learn_words, __pyx_v_c.learn_hidden, __pyx_v_c.words_lockf, __pyx_v_c.words_lockf_len);
/* "gensim/models/doc2vec_corpusfile.pyx":212
* c.words_lockf_len)
*
* if c.negative: # <<<<<<<<<<<<<<
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
* c.next_random = fast_document_dbow_neg(
*/
}
__pyx_L16_continue:;
}
/* "gensim/models/doc2vec_corpusfile.pyx":195
*
* for i in range(document_len):
* if c.train_words: # simultaneous skip-gram wordvec-training # <<<<<<<<<<<<<<
* j = i - c.window + c.reduced_windows[i]
* if j < 0:
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":220
*
* # docvec-training
* if _doc_tag < c.docvecs_count: # <<<<<<<<<<<<<<
* if c.hs:
* fast_document_dbow_hs(
*/
__pyx_t_10 = ((__pyx_v__doc_tag < __pyx_v_c.docvecs_count) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":221
* # docvec-training
* if _doc_tag < c.docvecs_count:
* if c.hs: # <<<<<<<<<<<<<<
* fast_document_dbow_hs(
* c.points[i], c.codes[i], c.codelens[i], c.doctag_vectors, c.syn1, c.layer1_size,
*/
__pyx_t_10 = (__pyx_v_c.hs != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":222
* if _doc_tag < c.docvecs_count:
* if c.hs:
* fast_document_dbow_hs( # <<<<<<<<<<<<<<
* c.points[i], c.codes[i], c.codelens[i], c.doctag_vectors, c.syn1, c.layer1_size,
* _doc_tag, c.alpha, c.work, c.learn_doctags, c.learn_hidden, c.doctags_lockf,
*/
__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_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.doctag_vectors, __pyx_v_c.syn1, __pyx_v_c.layer1_size, __pyx_v__doc_tag, __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.learn_doctags, __pyx_v_c.learn_hidden, __pyx_v_c.doctags_lockf, __pyx_v_c.doctags_lockf_len);
/* "gensim/models/doc2vec_corpusfile.pyx":221
* # docvec-training
* if _doc_tag < c.docvecs_count:
* if c.hs: # <<<<<<<<<<<<<<
* fast_document_dbow_hs(
* c.points[i], c.codes[i], c.codelens[i], c.doctag_vectors, c.syn1, c.layer1_size,
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":227
* c.doctags_lockf_len)
*
* if c.negative: # <<<<<<<<<<<<<<
* c.next_random = fast_document_dbow_neg(
* c.negative, c.cum_table, c.cum_table_len, c.doctag_vectors, c.syn1neg,
*/
__pyx_t_10 = (__pyx_v_c.negative != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":228
*
* if c.negative:
* c.next_random = fast_document_dbow_neg( # <<<<<<<<<<<<<<
* c.negative, c.cum_table, c.cum_table_len, c.doctag_vectors, c.syn1neg,
* c.layer1_size, c.indexes[i], _doc_tag, c.alpha, c.work, c.next_random,
*/
__pyx_v_c.next_random = __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg(__pyx_v_c.negative, __pyx_v_c.cum_table, __pyx_v_c.cum_table_len, __pyx_v_c.doctag_vectors, __pyx_v_c.syn1neg, __pyx_v_c.layer1_size, (__pyx_v_c.indexes[__pyx_v_i]), __pyx_v__doc_tag, __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.next_random, __pyx_v_c.learn_doctags, __pyx_v_c.learn_hidden, __pyx_v_c.doctags_lockf, __pyx_v_c.doctags_lockf_len);
/* "gensim/models/doc2vec_corpusfile.pyx":227
* c.doctags_lockf_len)
*
* if c.negative: # <<<<<<<<<<<<<<
* c.next_random = fast_document_dbow_neg(
* c.negative, c.cum_table, c.cum_table_len, c.doctag_vectors, c.syn1neg,
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":220
*
* # docvec-training
* if _doc_tag < c.docvecs_count: # <<<<<<<<<<<<<<
* if c.hs:
* fast_document_dbow_hs(
*/
}
}
/* "gensim/models/doc2vec_corpusfile.pyx":233
* c.learn_doctags, c.learn_hidden, c.doctags_lockf, c.doctags_lockf_len)
*
* total_documents += 1 # <<<<<<<<<<<<<<
* total_effective_words += effective_words
* _doc_tag += 1
*/
__pyx_v_total_documents = (__pyx_v_total_documents + 1);
/* "gensim/models/doc2vec_corpusfile.pyx":234
*
* total_documents += 1
* total_effective_words += effective_words # <<<<<<<<<<<<<<
* _doc_tag += 1
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__pyx_t_1 = __pyx_v_document_len;
__pyx_t_13 = __pyx_t_1;
for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) {
__pyx_v_i = __pyx_t_14;
/* "gensim/models/doc2vec_corpusfile.pyx":336
*
* for i in range(document_len):
* j = i - c.window + c.reduced_windows[i] # <<<<<<<<<<<<<<
* if j < 0:
* j = 0
*/
__pyx_v_j = ((__pyx_v_i - __pyx_v_c.window) + (__pyx_v_c.reduced_windows[__pyx_v_i]));
/* "gensim/models/doc2vec_corpusfile.pyx":337
* for i in range(document_len):
* j = i - c.window + c.reduced_windows[i]
* if j < 0: # <<<<<<<<<<<<<<
* j = 0
* k = i + c.window + 1 - c.reduced_windows[i]
*/
__pyx_t_10 = ((__pyx_v_j < 0) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":338
* j = i - c.window + c.reduced_windows[i]
* if j < 0:
* j = 0 # <<<<<<<<<<<<<<
* k = i + c.window + 1 - c.reduced_windows[i]
* if k > document_len:
*/
__pyx_v_j = 0;
/* "gensim/models/doc2vec_corpusfile.pyx":337
* for i in range(document_len):
* j = i - c.window + c.reduced_windows[i]
* if j < 0: # <<<<<<<<<<<<<<
* j = 0
* k = i + c.window + 1 - c.reduced_windows[i]
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":339
* if j < 0:
* j = 0
* k = i + c.window + 1 - c.reduced_windows[i] # <<<<<<<<<<<<<<
* if k > document_len:
* k = document_len
*/
__pyx_v_k = (((__pyx_v_i + __pyx_v_c.window) + 1) - (__pyx_v_c.reduced_windows[__pyx_v_i]));
/* "gensim/models/doc2vec_corpusfile.pyx":340
* j = 0
* k = i + c.window + 1 - c.reduced_windows[i]
* if k > document_len: # <<<<<<<<<<<<<<
* k = document_len
*
*/
__pyx_t_10 = ((__pyx_v_k > __pyx_v_document_len) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":341
* k = i + c.window + 1 - c.reduced_windows[i]
* if k > document_len:
* k = document_len # <<<<<<<<<<<<<<
*
* # compose l1 (in _neu1) & clear _work
*/
__pyx_v_k = __pyx_v_document_len;
/* "gensim/models/doc2vec_corpusfile.pyx":340
* j = 0
* k = i + c.window + 1 - c.reduced_windows[i]
* if k > document_len: # <<<<<<<<<<<<<<
* k = document_len
*
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":344
*
* # compose l1 (in _neu1) & clear _work
* memset(c.neu1, 0, c.layer1_size * cython.sizeof(REAL_t)) # <<<<<<<<<<<<<<
* count = 0.0
* for m in range(j, k):
*/
(void)(memset(__pyx_v_c.neu1, 0, (__pyx_v_c.layer1_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
/* "gensim/models/doc2vec_corpusfile.pyx":345
* # compose l1 (in _neu1) & clear _work
* memset(c.neu1, 0, c.layer1_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/doc2vec_corpusfile.pyx":346
* memset(c.neu1, 0, c.layer1_size * cython.sizeof(REAL_t))
* count = 0.0
* for m in range(j, k): # <<<<<<<<<<<<<<
* if m == i:
* continue
*/
__pyx_t_15 = __pyx_v_k;
__pyx_t_16 = __pyx_t_15;
for (__pyx_t_17 = __pyx_v_j; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) {
__pyx_v_m = __pyx_t_17;
/* "gensim/models/doc2vec_corpusfile.pyx":347
* count = 0.0
* for m in range(j, k):
* if m == i: # <<<<<<<<<<<<<<
* continue
* else:
*/
__pyx_t_10 = ((__pyx_v_m == __pyx_v_i) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":348
* for m in range(j, k):
* if m == i:
* continue # <<<<<<<<<<<<<<
* else:
* count += ONEF
*/
goto __pyx_L15_continue;
/* "gensim/models/doc2vec_corpusfile.pyx":347
* count = 0.0
* for m in range(j, k):
* if m == i: # <<<<<<<<<<<<<<
* continue
* else:
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":350
* continue
* else:
* count += ONEF # <<<<<<<<<<<<<<
* our_saxpy(&c.layer1_size, &ONEF, &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
*
*/
/*else*/ {
__pyx_v_count = (__pyx_v_count + __pyx_v_6gensim_6models_18doc2vec_corpusfile_ONEF);
/* "gensim/models/doc2vec_corpusfile.pyx":351
* else:
* count += ONEF
* our_saxpy(&c.layer1_size, &ONEF, &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE) # <<<<<<<<<<<<<<
*
* if _doc_tag < c.docvecs_count:
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.layer1_size), (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONEF), (&(__pyx_v_c.word_vectors[((__pyx_v_c.indexes[__pyx_v_m]) * __pyx_v_c.layer1_size)])), (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE), __pyx_v_c.neu1, (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE));
}
__pyx_L15_continue:;
}
/* "gensim/models/doc2vec_corpusfile.pyx":353
* our_saxpy(&c.layer1_size, &ONEF, &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
*
* if _doc_tag < c.docvecs_count: # <<<<<<<<<<<<<<
* count += ONEF
* our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[_doc_tag * c.layer1_size], &ONE, c.neu1, &ONE)
*/
__pyx_t_10 = ((__pyx_v__doc_tag < __pyx_v_c.docvecs_count) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":354
*
* if _doc_tag < c.docvecs_count:
* count += ONEF # <<<<<<<<<<<<<<
* our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[_doc_tag * c.layer1_size], &ONE, c.neu1, &ONE)
* if count > (0.5):
*/
__pyx_v_count = (__pyx_v_count + __pyx_v_6gensim_6models_18doc2vec_corpusfile_ONEF);
/* "gensim/models/doc2vec_corpusfile.pyx":355
* if _doc_tag < c.docvecs_count:
* count += ONEF
* our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[_doc_tag * c.layer1_size], &ONE, c.neu1, &ONE) # <<<<<<<<<<<<<<
* if count > (0.5):
* inv_count = ONEF/count
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.layer1_size), (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONEF), (&(__pyx_v_c.doctag_vectors[(__pyx_v__doc_tag * __pyx_v_c.layer1_size)])), (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE), __pyx_v_c.neu1, (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE));
/* "gensim/models/doc2vec_corpusfile.pyx":353
* our_saxpy(&c.layer1_size, &ONEF, &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
*
* if _doc_tag < c.docvecs_count: # <<<<<<<<<<<<<<
* count += ONEF
* our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[_doc_tag * c.layer1_size], &ONE, c.neu1, &ONE)
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":356
* count += ONEF
* our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[_doc_tag * c.layer1_size], &ONE, c.neu1, &ONE)
* if count > (0.5): # <<<<<<<<<<<<<<
* inv_count = ONEF/count
* if c.cbow_mean:
*/
__pyx_t_10 = ((__pyx_v_count > ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.5)) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":357
* our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[_doc_tag * c.layer1_size], &ONE, c.neu1, &ONE)
* if count > (0.5):
* inv_count = ONEF/count # <<<<<<<<<<<<<<
* if c.cbow_mean:
* sscal(&c.layer1_size, &inv_count, c.neu1, &ONE) # (does this need BLAS-variants like saxpy?)
*/
__pyx_v_inv_count = (__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONEF / __pyx_v_count);
/* "gensim/models/doc2vec_corpusfile.pyx":356
* count += ONEF
* our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[_doc_tag * c.layer1_size], &ONE, c.neu1, &ONE)
* if count > (0.5): # <<<<<<<<<<<<<<
* inv_count = ONEF/count
* if c.cbow_mean:
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":358
* if count > (0.5):
* inv_count = ONEF/count
* if c.cbow_mean: # <<<<<<<<<<<<<<
* sscal(&c.layer1_size, &inv_count, c.neu1, &ONE) # (does this need BLAS-variants like saxpy?)
* memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error
*/
__pyx_t_10 = (__pyx_v_c.cbow_mean != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":359
* inv_count = ONEF/count
* if c.cbow_mean:
* sscal(&c.layer1_size, &inv_count, c.neu1, &ONE) # (does this need BLAS-variants like saxpy?) # <<<<<<<<<<<<<<
* memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error
* if c.hs:
*/
__pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_c.layer1_size), (&__pyx_v_inv_count), __pyx_v_c.neu1, (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE));
/* "gensim/models/doc2vec_corpusfile.pyx":358
* if count > (0.5):
* inv_count = ONEF/count
* if c.cbow_mean: # <<<<<<<<<<<<<<
* sscal(&c.layer1_size, &inv_count, c.neu1, &ONE) # (does this need BLAS-variants like saxpy?)
* memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":360
* if c.cbow_mean:
* sscal(&c.layer1_size, &inv_count, c.neu1, &ONE) # (does this need BLAS-variants like saxpy?)
* memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error # <<<<<<<<<<<<<<
* if c.hs:
* fast_document_dm_hs(
*/
(void)(memset(__pyx_v_c.work, 0, (__pyx_v_c.layer1_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
/* "gensim/models/doc2vec_corpusfile.pyx":361
* sscal(&c.layer1_size, &inv_count, c.neu1, &ONE) # (does this need BLAS-variants like saxpy?)
* memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error
* if c.hs: # <<<<<<<<<<<<<<
* fast_document_dm_hs(
* c.points[i], c.codes[i], c.codelens[i], c.neu1,
*/
__pyx_t_10 = (__pyx_v_c.hs != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":362
* memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error
* if c.hs:
* fast_document_dm_hs( # <<<<<<<<<<<<<<
* c.points[i], c.codes[i], c.codelens[i], c.neu1,
* c.syn1, c.alpha, c.work, c.layer1_size, c.learn_hidden)
*/
__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_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.neu1, __pyx_v_c.syn1, __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.layer1_size, __pyx_v_c.learn_hidden);
/* "gensim/models/doc2vec_corpusfile.pyx":361
* sscal(&c.layer1_size, &inv_count, c.neu1, &ONE) # (does this need BLAS-variants like saxpy?)
* memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error
* if c.hs: # <<<<<<<<<<<<<<
* fast_document_dm_hs(
* c.points[i], c.codes[i], c.codelens[i], c.neu1,
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":366
* c.syn1, c.alpha, c.work, c.layer1_size, c.learn_hidden)
*
* if c.negative: # <<<<<<<<<<<<<<
* c.next_random = fast_document_dm_neg(
* c.negative, c.cum_table, c.cum_table_len, c.next_random, c.neu1,
*/
__pyx_t_10 = (__pyx_v_c.negative != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":367
*
* if c.negative:
* c.next_random = fast_document_dm_neg( # <<<<<<<<<<<<<<
* c.negative, c.cum_table, c.cum_table_len, c.next_random, c.neu1,
* c.syn1neg, c.indexes[i], c.alpha, c.work, c.layer1_size, c.learn_hidden)
*/
__pyx_v_c.next_random = __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_neg(__pyx_v_c.negative, __pyx_v_c.cum_table, __pyx_v_c.cum_table_len, __pyx_v_c.next_random, __pyx_v_c.neu1, __pyx_v_c.syn1neg, (__pyx_v_c.indexes[__pyx_v_i]), __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.layer1_size, __pyx_v_c.learn_hidden);
/* "gensim/models/doc2vec_corpusfile.pyx":366
* c.syn1, c.alpha, c.work, c.layer1_size, c.learn_hidden)
*
* if c.negative: # <<<<<<<<<<<<<<
* c.next_random = fast_document_dm_neg(
* c.negative, c.cum_table, c.cum_table_len, c.next_random, c.neu1,
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":371
* c.syn1neg, c.indexes[i], c.alpha, c.work, c.layer1_size, c.learn_hidden)
*
* if not c.cbow_mean: # <<<<<<<<<<<<<<
* sscal(&c.layer1_size, &inv_count, c.work, &ONE) # (does this need BLAS-variants like saxpy?)
* # apply accumulated error in work
*/
__pyx_t_10 = ((!(__pyx_v_c.cbow_mean != 0)) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":372
*
* if not c.cbow_mean:
* sscal(&c.layer1_size, &inv_count, c.work, &ONE) # (does this need BLAS-variants like saxpy?) # <<<<<<<<<<<<<<
* # apply accumulated error in work
* if c.learn_doctags and _doc_tag < c.docvecs_count:
*/
__pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_c.layer1_size), (&__pyx_v_inv_count), __pyx_v_c.work, (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE));
/* "gensim/models/doc2vec_corpusfile.pyx":371
* c.syn1neg, c.indexes[i], c.alpha, c.work, c.layer1_size, c.learn_hidden)
*
* if not c.cbow_mean: # <<<<<<<<<<<<<<
* sscal(&c.layer1_size, &inv_count, c.work, &ONE) # (does this need BLAS-variants like saxpy?)
* # apply accumulated error in work
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":374
* sscal(&c.layer1_size, &inv_count, c.work, &ONE) # (does this need BLAS-variants like saxpy?)
* # apply accumulated error in work
* if c.learn_doctags and _doc_tag < c.docvecs_count: # <<<<<<<<<<<<<<
* our_saxpy(
* &c.layer1_size, &c.doctags_lockf[_doc_tag % c.doctags_lockf_len], c.work,
*/
__pyx_t_4 = (__pyx_v_c.learn_doctags != 0);
if (__pyx_t_4) {
} else {
__pyx_t_10 = __pyx_t_4;
goto __pyx_L25_bool_binop_done;
}
__pyx_t_4 = ((__pyx_v__doc_tag < __pyx_v_c.docvecs_count) != 0);
__pyx_t_10 = __pyx_t_4;
__pyx_L25_bool_binop_done:;
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":375
* # apply accumulated error in work
* if c.learn_doctags and _doc_tag < c.docvecs_count:
* our_saxpy( # <<<<<<<<<<<<<<
* &c.layer1_size, &c.doctags_lockf[_doc_tag % c.doctags_lockf_len], c.work,
* &ONE, &c.doctag_vectors[_doc_tag * c.layer1_size], &ONE)
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.layer1_size), (&(__pyx_v_c.doctags_lockf[(__pyx_v__doc_tag % __pyx_v_c.doctags_lockf_len)])), __pyx_v_c.work, (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE), (&(__pyx_v_c.doctag_vectors[(__pyx_v__doc_tag * __pyx_v_c.layer1_size)])), (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE));
/* "gensim/models/doc2vec_corpusfile.pyx":374
* sscal(&c.layer1_size, &inv_count, c.work, &ONE) # (does this need BLAS-variants like saxpy?)
* # apply accumulated error in work
* if c.learn_doctags and _doc_tag < c.docvecs_count: # <<<<<<<<<<<<<<
* our_saxpy(
* &c.layer1_size, &c.doctags_lockf[_doc_tag % c.doctags_lockf_len], c.work,
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":378
* &c.layer1_size, &c.doctags_lockf[_doc_tag % c.doctags_lockf_len], c.work,
* &ONE, &c.doctag_vectors[_doc_tag * c.layer1_size], &ONE)
* if c.learn_words: # <<<<<<<<<<<<<<
* for m in range(j, k):
* if m == i:
*/
__pyx_t_10 = (__pyx_v_c.learn_words != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":379
* &ONE, &c.doctag_vectors[_doc_tag * c.layer1_size], &ONE)
* if c.learn_words:
* for m in range(j, k): # <<<<<<<<<<<<<<
* if m == i:
* continue
*/
__pyx_t_15 = __pyx_v_k;
__pyx_t_16 = __pyx_t_15;
for (__pyx_t_17 = __pyx_v_j; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) {
__pyx_v_m = __pyx_t_17;
/* "gensim/models/doc2vec_corpusfile.pyx":380
* if c.learn_words:
* for m in range(j, k):
* if m == i: # <<<<<<<<<<<<<<
* continue
* else:
*/
__pyx_t_10 = ((__pyx_v_m == __pyx_v_i) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":381
* for m in range(j, k):
* if m == i:
* continue # <<<<<<<<<<<<<<
* else:
* our_saxpy(
*/
goto __pyx_L28_continue;
/* "gensim/models/doc2vec_corpusfile.pyx":380
* if c.learn_words:
* for m in range(j, k):
* if m == i: # <<<<<<<<<<<<<<
* continue
* else:
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":383
* continue
* else:
* our_saxpy( # <<<<<<<<<<<<<<
* &c.layer1_size, &c.words_lockf[c.indexes[m] % c.words_lockf_len], c.work, &ONE,
* &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE)
*/
/*else*/ {
/* "gensim/models/doc2vec_corpusfile.pyx":385
* our_saxpy(
* &c.layer1_size, &c.words_lockf[c.indexes[m] % c.words_lockf_len], c.work, &ONE,
* &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE) # <<<<<<<<<<<<<<
*
* total_documents += 1
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.layer1_size), (&(__pyx_v_c.words_lockf[((__pyx_v_c.indexes[__pyx_v_m]) % __pyx_v_c.words_lockf_len)])), __pyx_v_c.work, (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE), (&(__pyx_v_c.word_vectors[((__pyx_v_c.indexes[__pyx_v_m]) * __pyx_v_c.layer1_size)])), (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE));
}
__pyx_L28_continue:;
}
/* "gensim/models/doc2vec_corpusfile.pyx":378
* &c.layer1_size, &c.doctags_lockf[_doc_tag % c.doctags_lockf_len], c.work,
* &ONE, &c.doctag_vectors[_doc_tag * c.layer1_size], &ONE)
* if c.learn_words: # <<<<<<<<<<<<<<
* for m in range(j, k):
* if m == i:
*/
}
}
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*
* prepare_c_structures_for_batch( # <<<<<<<<<<<<<<
* doc_words, c.sample, c.hs, c.window, &total_words, &effective_words,
* &c.next_random, vocab.get_vocab_ptr(), c.indexes, c.codelens, c.codes,
*/
__pyx_f_6gensim_6models_18doc2vec_corpusfile_prepare_c_structures_for_batch(__pyx_v_doc_words, __pyx_v_c.sample, __pyx_v_c.hs, __pyx_v_c.window, (&__pyx_v_total_words), (&__pyx_v_effective_words), (&__pyx_v_c.next_random), __pyx_t_12, __pyx_v_c.indexes, __pyx_v_c.codelens, __pyx_v_c.codes, __pyx_v_c.points, NULL, (&__pyx_v_document_len), __pyx_v_c.train_words, __pyx_v_c.docvecs_count, __pyx_v__doc_tag, __pyx_v_shrink_windows);
/* "gensim/models/doc2vec_corpusfile.pyx":504
* shrink_windows)
*
* for i in range(document_len): # <<<<<<<<<<<<<<
* j = i - c.window # negative OK: will pad with null word
* k = i + c.window + 1 # past document end OK: will pad with null word
*/
__pyx_t_1 = __pyx_v_document_len;
__pyx_t_13 = __pyx_t_1;
for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) {
__pyx_v_i = __pyx_t_14;
/* "gensim/models/doc2vec_corpusfile.pyx":505
*
* for i in range(document_len):
* j = i - c.window # negative OK: will pad with null word # <<<<<<<<<<<<<<
* k = i + c.window + 1 # past document end OK: will pad with null word
*
*/
__pyx_v_j = (__pyx_v_i - __pyx_v_c.window);
/* "gensim/models/doc2vec_corpusfile.pyx":506
* for i in range(document_len):
* j = i - c.window # negative OK: will pad with null word
* k = i + c.window + 1 # past document end OK: will pad with null word # <<<<<<<<<<<<<<
*
* # compose l1 & clear work
*/
__pyx_v_k = ((__pyx_v_i + __pyx_v_c.window) + 1);
/* "gensim/models/doc2vec_corpusfile.pyx":509
*
* # compose l1 & clear work
* if _doc_tag < c.docvecs_count: # <<<<<<<<<<<<<<
* # doc vector(s)
* memcpy(&c.neu1[0], &c.doctag_vectors[_doc_tag * c.vector_size], c.vector_size * cython.sizeof(REAL_t))
*/
__pyx_t_10 = ((__pyx_v__doc_tag < __pyx_v_c.docvecs_count) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":511
* if _doc_tag < c.docvecs_count:
* # doc vector(s)
* memcpy(&c.neu1[0], &c.doctag_vectors[_doc_tag * c.vector_size], c.vector_size * cython.sizeof(REAL_t)) # <<<<<<<<<<<<<<
* n = 0
* for m in range(j, k):
*/
(void)(memcpy((&(__pyx_v_c.neu1[0])), (&(__pyx_v_c.doctag_vectors[(__pyx_v__doc_tag * __pyx_v_c.vector_size)])), (__pyx_v_c.vector_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
/* "gensim/models/doc2vec_corpusfile.pyx":509
*
* # compose l1 & clear work
* if _doc_tag < c.docvecs_count: # <<<<<<<<<<<<<<
* # doc vector(s)
* memcpy(&c.neu1[0], &c.doctag_vectors[_doc_tag * c.vector_size], c.vector_size * cython.sizeof(REAL_t))
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":512
* # doc vector(s)
* memcpy(&c.neu1[0], &c.doctag_vectors[_doc_tag * c.vector_size], c.vector_size * cython.sizeof(REAL_t))
* n = 0 # <<<<<<<<<<<<<<
* for m in range(j, k):
* # word vectors in window
*/
__pyx_v_n = 0;
/* "gensim/models/doc2vec_corpusfile.pyx":513
* memcpy(&c.neu1[0], &c.doctag_vectors[_doc_tag * c.vector_size], c.vector_size * cython.sizeof(REAL_t))
* n = 0
* for m in range(j, k): # <<<<<<<<<<<<<<
* # word vectors in window
* if m == i:
*/
__pyx_t_15 = __pyx_v_k;
__pyx_t_16 = __pyx_t_15;
for (__pyx_t_17 = __pyx_v_j; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) {
__pyx_v_m = __pyx_t_17;
/* "gensim/models/doc2vec_corpusfile.pyx":515
* for m in range(j, k):
* # word vectors in window
* if m == i: # <<<<<<<<<<<<<<
* continue
* if m < 0 or m >= document_len:
*/
__pyx_t_10 = ((__pyx_v_m == __pyx_v_i) != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":516
* # word vectors in window
* if m == i:
* continue # <<<<<<<<<<<<<<
* if m < 0 or m >= document_len:
* c.window_indexes[n] = c.null_word_index
*/
goto __pyx_L16_continue;
/* "gensim/models/doc2vec_corpusfile.pyx":515
* for m in range(j, k):
* # word vectors in window
* if m == i: # <<<<<<<<<<<<<<
* continue
* if m < 0 or m >= document_len:
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":517
* if m == i:
* continue
* if m < 0 or m >= document_len: # <<<<<<<<<<<<<<
* c.window_indexes[n] = c.null_word_index
* else:
*/
__pyx_t_4 = ((__pyx_v_m < 0) != 0);
if (!__pyx_t_4) {
} else {
__pyx_t_10 = __pyx_t_4;
goto __pyx_L20_bool_binop_done;
}
__pyx_t_4 = ((__pyx_v_m >= __pyx_v_document_len) != 0);
__pyx_t_10 = __pyx_t_4;
__pyx_L20_bool_binop_done:;
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":518
* continue
* if m < 0 or m >= document_len:
* c.window_indexes[n] = c.null_word_index # <<<<<<<<<<<<<<
* else:
* c.window_indexes[n] = c.indexes[m]
*/
__pyx_t_18 = __pyx_v_c.null_word_index;
(__pyx_v_c.window_indexes[__pyx_v_n]) = __pyx_t_18;
/* "gensim/models/doc2vec_corpusfile.pyx":517
* if m == i:
* continue
* if m < 0 or m >= document_len: # <<<<<<<<<<<<<<
* c.window_indexes[n] = c.null_word_index
* else:
*/
goto __pyx_L19;
}
/* "gensim/models/doc2vec_corpusfile.pyx":520
* c.window_indexes[n] = c.null_word_index
* else:
* c.window_indexes[n] = c.indexes[m] # <<<<<<<<<<<<<<
* n += 1
* for m in range(2 * c.window):
*/
/*else*/ {
(__pyx_v_c.window_indexes[__pyx_v_n]) = (__pyx_v_c.indexes[__pyx_v_m]);
}
__pyx_L19:;
/* "gensim/models/doc2vec_corpusfile.pyx":521
* else:
* c.window_indexes[n] = c.indexes[m]
* n += 1 # <<<<<<<<<<<<<<
* for m in range(2 * c.window):
* memcpy(
*/
__pyx_v_n = (__pyx_v_n + 1);
__pyx_L16_continue:;
}
/* "gensim/models/doc2vec_corpusfile.pyx":522
* c.window_indexes[n] = c.indexes[m]
* n += 1
* for m in range(2 * c.window): # <<<<<<<<<<<<<<
* memcpy(
* &c.neu1[(c.doctag_len + m) * c.vector_size], &c.word_vectors[c.window_indexes[m] * c.vector_size],
*/
__pyx_t_19 = (2 * __pyx_v_c.window);
__pyx_t_20 = __pyx_t_19;
for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_20; __pyx_t_15+=1) {
__pyx_v_m = __pyx_t_15;
/* "gensim/models/doc2vec_corpusfile.pyx":523
* n += 1
* for m in range(2 * c.window):
* memcpy( # <<<<<<<<<<<<<<
* &c.neu1[(c.doctag_len + m) * c.vector_size], &c.word_vectors[c.window_indexes[m] * c.vector_size],
* c.vector_size * cython.sizeof(REAL_t))
*/
(void)(memcpy((&(__pyx_v_c.neu1[((__pyx_v_c.doctag_len + __pyx_v_m) * __pyx_v_c.vector_size)])), (&(__pyx_v_c.word_vectors[((__pyx_v_c.window_indexes[__pyx_v_m]) * __pyx_v_c.vector_size)])), (__pyx_v_c.vector_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
}
/* "gensim/models/doc2vec_corpusfile.pyx":526
* &c.neu1[(c.doctag_len + m) * c.vector_size], &c.word_vectors[c.window_indexes[m] * c.vector_size],
* c.vector_size * cython.sizeof(REAL_t))
* memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error # <<<<<<<<<<<<<<
*
* if c.hs:
*/
(void)(memset(__pyx_v_c.work, 0, (__pyx_v_c.layer1_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
/* "gensim/models/doc2vec_corpusfile.pyx":528
* memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error
*
* if c.hs: # <<<<<<<<<<<<<<
* fast_document_dmc_hs(
* c.points[i], c.codes[i], c.codelens[i], c.neu1, c.syn1,
*/
__pyx_t_10 = (__pyx_v_c.hs != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":529
*
* if c.hs:
* fast_document_dmc_hs( # <<<<<<<<<<<<<<
* c.points[i], c.codes[i], c.codelens[i], c.neu1, c.syn1,
* c.alpha, c.work, c.layer1_size, c.vector_size, c.learn_hidden)
*/
__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_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.neu1, __pyx_v_c.syn1, __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.layer1_size, __pyx_v_c.vector_size, __pyx_v_c.learn_hidden);
/* "gensim/models/doc2vec_corpusfile.pyx":528
* memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error
*
* if c.hs: # <<<<<<<<<<<<<<
* fast_document_dmc_hs(
* c.points[i], c.codes[i], c.codelens[i], c.neu1, c.syn1,
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":533
* c.alpha, c.work, c.layer1_size, c.vector_size, c.learn_hidden)
*
* if c.negative: # <<<<<<<<<<<<<<
* c.next_random = fast_document_dmc_neg(
* c.negative, c.cum_table, c.cum_table_len, c.next_random, c.neu1, c.syn1neg,
*/
__pyx_t_10 = (__pyx_v_c.negative != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":534
*
* if c.negative:
* c.next_random = fast_document_dmc_neg( # <<<<<<<<<<<<<<
* c.negative, c.cum_table, c.cum_table_len, c.next_random, c.neu1, c.syn1neg,
* c.indexes[i], c.alpha, c.work, c.layer1_size, c.vector_size, c.learn_hidden)
*/
__pyx_v_c.next_random = __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_neg(__pyx_v_c.negative, __pyx_v_c.cum_table, __pyx_v_c.cum_table_len, __pyx_v_c.next_random, __pyx_v_c.neu1, __pyx_v_c.syn1neg, (__pyx_v_c.indexes[__pyx_v_i]), __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.layer1_size, __pyx_v_c.vector_size, __pyx_v_c.learn_hidden);
/* "gensim/models/doc2vec_corpusfile.pyx":533
* c.alpha, c.work, c.layer1_size, c.vector_size, c.learn_hidden)
*
* if c.negative: # <<<<<<<<<<<<<<
* c.next_random = fast_document_dmc_neg(
* c.negative, c.cum_table, c.cum_table_len, c.next_random, c.neu1, c.syn1neg,
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":538
* c.indexes[i], c.alpha, c.work, c.layer1_size, c.vector_size, c.learn_hidden)
*
* if c.learn_doctags and _doc_tag < c.docvecs_count: # <<<<<<<<<<<<<<
* our_saxpy(
* &c.vector_size, &c.doctags_lockf[_doc_tag % c.doctags_lockf_len], &c.work[m * c.vector_size],
*/
__pyx_t_4 = (__pyx_v_c.learn_doctags != 0);
if (__pyx_t_4) {
} else {
__pyx_t_10 = __pyx_t_4;
goto __pyx_L27_bool_binop_done;
}
__pyx_t_4 = ((__pyx_v__doc_tag < __pyx_v_c.docvecs_count) != 0);
__pyx_t_10 = __pyx_t_4;
__pyx_L27_bool_binop_done:;
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":539
*
* if c.learn_doctags and _doc_tag < c.docvecs_count:
* our_saxpy( # <<<<<<<<<<<<<<
* &c.vector_size, &c.doctags_lockf[_doc_tag % c.doctags_lockf_len], &c.work[m * c.vector_size],
* &ONE, &c.doctag_vectors[_doc_tag * c.vector_size], &ONE)
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.vector_size), (&(__pyx_v_c.doctags_lockf[(__pyx_v__doc_tag % __pyx_v_c.doctags_lockf_len)])), (&(__pyx_v_c.work[(__pyx_v_m * __pyx_v_c.vector_size)])), (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE), (&(__pyx_v_c.doctag_vectors[(__pyx_v__doc_tag * __pyx_v_c.vector_size)])), (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE));
/* "gensim/models/doc2vec_corpusfile.pyx":538
* c.indexes[i], c.alpha, c.work, c.layer1_size, c.vector_size, c.learn_hidden)
*
* if c.learn_doctags and _doc_tag < c.docvecs_count: # <<<<<<<<<<<<<<
* our_saxpy(
* &c.vector_size, &c.doctags_lockf[_doc_tag % c.doctags_lockf_len], &c.work[m * c.vector_size],
*/
}
/* "gensim/models/doc2vec_corpusfile.pyx":542
* &c.vector_size, &c.doctags_lockf[_doc_tag % c.doctags_lockf_len], &c.work[m * c.vector_size],
* &ONE, &c.doctag_vectors[_doc_tag * c.vector_size], &ONE)
* if c.learn_words: # <<<<<<<<<<<<<<
* for m in range(2 * c.window):
* our_saxpy(
*/
__pyx_t_10 = (__pyx_v_c.learn_words != 0);
if (__pyx_t_10) {
/* "gensim/models/doc2vec_corpusfile.pyx":543
* &ONE, &c.doctag_vectors[_doc_tag * c.vector_size], &ONE)
* if c.learn_words:
* for m in range(2 * c.window): # <<<<<<<<<<<<<<
* our_saxpy(
* &c.vector_size, &c.words_lockf[c.window_indexes[m] % c.words_lockf_len], &c.work[(c.doctag_len + m) * c.vector_size],
*/
__pyx_t_19 = (2 * __pyx_v_c.window);
__pyx_t_20 = __pyx_t_19;
for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_20; __pyx_t_15+=1) {
__pyx_v_m = __pyx_t_15;
/* "gensim/models/doc2vec_corpusfile.pyx":544
* if c.learn_words:
* for m in range(2 * c.window):
* our_saxpy( # <<<<<<<<<<<<<<
* &c.vector_size, &c.words_lockf[c.window_indexes[m] % c.words_lockf_len], &c.work[(c.doctag_len + m) * c.vector_size],
* &ONE, &c.word_vectors[c.window_indexes[m] * c.vector_size], &ONE)
*/
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.vector_size), (&(__pyx_v_c.words_lockf[((__pyx_v_c.window_indexes[__pyx_v_m]) % __pyx_v_c.words_lockf_len)])), (&(__pyx_v_c.work[((__pyx_v_c.doctag_len + __pyx_v_m) * __pyx_v_c.vector_size)])), (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE), (&(__pyx_v_c.word_vectors[((__pyx_v_c.window_indexes[__pyx_v_m]) * __pyx_v_c.vector_size)])), (&__pyx_v_6gensim_6models_18doc2vec_corpusfile_ONE));
}
/* "gensim/models/doc2vec_corpusfile.pyx":542
* &c.vector_size, &c.doctags_lockf[_doc_tag % c.doctags_lockf_len], &c.work[m * c.vector_size],
* &ONE, &c.doctag_vectors[_doc_tag * c.vector_size], &ONE)
* if c.learn_words: # <<<<<<<<<<<<<<
* for m in range(2 * c.window):
* our_saxpy(
*/
}
}
/* "gensim/models/doc2vec_corpusfile.pyx":548
* &ONE, &c.word_vectors[c.window_indexes[m] * c.vector_size], &ONE)
*
* total_documents += 1 # <<<<<<<<<<<<<<
* total_effective_words += effective_words
* _doc_tag += 1
*/
__pyx_v_total_documents = (__pyx_v_total_documents + 1);
/* "gensim/models/doc2vec_corpusfile.pyx":549
*
* total_documents += 1
* total_effective_words += effective_words # <<<<<<<<<<<<<<
* _doc_tag += 1
*
*/
__pyx_v_total_effective_words = (__pyx_v_total_effective_words + __pyx_v_effective_words);
/* "gensim/models/doc2vec_corpusfile.pyx":550
* total_documents += 1
* total_effective_words += effective_words
* _doc_tag += 1 # <<<<<<<<<<<<<<
*
* c.alpha = get_next_alpha(
*/
__pyx_v__doc_tag = (__pyx_v__doc_tag + 1);
/* "gensim/models/doc2vec_corpusfile.pyx":552
* _doc_tag += 1
*
* c.alpha = get_next_alpha( # <<<<<<<<<<<<<<
* start_alpha, end_alpha, total_documents, total_words, expected_examples,
* expected_words, cur_epoch, num_epochs)
*/
__pyx_v_c.alpha = __pyx_f_6gensim_6models_19word2vec_corpusfile_get_next_alpha(__pyx_v_start_alpha, __pyx_v_end_alpha, __pyx_v_total_documents, __pyx_v_total_words, __pyx_v_expected_examples, __pyx_v_expected_words, __pyx_v_cur_epoch, __pyx_v_num_epochs);
__pyx_L6_continue:;
}
}
/* "gensim/models/doc2vec_corpusfile.pyx":474
*
* # release GIL & train on the full corpus, document by document
* with nogil: # <<<<<<<<<<<<<<
* input_stream.reset()
* while not (input_stream.is_eof() or total_words > expected_words / c.workers):
*/
/*finally:*/ {
/*normal exit:*/{
#ifdef WITH_THREAD
__Pyx_FastGIL_Forget();
Py_BLOCK_THREADS
#endif
goto __pyx_L5;
}
__pyx_L4_error: {
#ifdef WITH_THREAD
__Pyx_FastGIL_Forget();
Py_BLOCK_THREADS
#endif
goto __pyx_L1_error;
}
__pyx_L5:;
}
}
/* "gensim/models/doc2vec_corpusfile.pyx":556
* expected_words, cur_epoch, num_epochs)
*
* return total_documents, total_effective_words, total_words # <<<<<<<<<<<<<<
*
*
*/
__Pyx_XDECREF(__pyx_r);
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__pyx_t_22 = 0;
goto __pyx_L0;
/* "gensim/models/doc2vec_corpusfile.pyx":398
*
*
* def d2v_train_epoch_dm_concat( # <<<<<<<<<<<<<<
* model, corpus_file, offset, start_doctag, _cython_vocab, _cur_epoch, _expected_examples,
* _expected_words, work, neu1, docvecs_count, word_vectors=None, words_lockf=None,
*/
/* function exit code */
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_2);
__Pyx_XDECREF(__pyx_t_8);
__Pyx_XDECREF(__pyx_t_21);
__Pyx_XDECREF(__pyx_t_22);
__Pyx_AddTraceback("gensim.models.doc2vec_corpusfile.d2v_train_epoch_dm_concat", __pyx_clineno, __pyx_lineno, __pyx_filename);
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__pyx_L0:;
__Pyx_XDECREF((PyObject *)__pyx_v_input_stream);
__Pyx_XDECREF((PyObject *)__pyx_v_vocab);
__Pyx_XGIVEREF(__pyx_r);
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