/* Generated by Cython 0.29.32 */

/* BEGIN: Cython Metadata
{
    "distutils": {
        "depends": [
            "gensim\\models\\voidptr.h"
        ],
        "include_dirs": [
            "gensim/models",
            ".\\gensim\\models"
        ],
        "language": "c++",
        "name": "gensim.models.doc2vec_inner",
        "sources": [
            "gensim/models/doc2vec_inner.pyx"
        ]
    },
    "module_name": "gensim.models.doc2vec_inner"
}
END: Cython Metadata */

#ifndef PY_SSIZE_T_CLEAN
#define PY_SSIZE_T_CLEAN
#endif /* PY_SSIZE_T_CLEAN */
#include "Python.h"
#ifndef Py_PYTHON_H
    #error Python headers needed to compile C extensions, please install development version of Python.
#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
    #error Cython requires Python 2.6+ or Python 3.3+.
#else
#define CYTHON_ABI "0_29_32"
#define CYTHON_HEX_VERSION 0x001D20F0
#define CYTHON_FUTURE_DIVISION 1
#include <stddef.h>
#ifndef offsetof
  #define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
#endif
#if !defined(WIN32) && !defined(MS_WINDOWS)
  #ifndef __stdcall
    #define __stdcall
  #endif
  #ifndef __cdecl
    #define __cdecl
  #endif
  #ifndef __fastcall
    #define __fastcall
  #endif
#endif
#ifndef DL_IMPORT
  #define DL_IMPORT(t) t
#endif
#ifndef DL_EXPORT
  #define DL_EXPORT(t) t
#endif
#define __PYX_COMMA ,
#ifndef HAVE_LONG_LONG
  #if PY_VERSION_HEX >= 0x02070000
    #define HAVE_LONG_LONG
  #endif
#endif
#ifndef PY_LONG_LONG
  #define PY_LONG_LONG LONG_LONG
#endif
#ifndef Py_HUGE_VAL
  #define Py_HUGE_VAL HUGE_VAL
#endif
#ifdef PYPY_VERSION
  #define CYTHON_COMPILING_IN_PYPY 1
  #define CYTHON_COMPILING_IN_PYSTON 0
  #define CYTHON_COMPILING_IN_CPYTHON 0
  #define CYTHON_COMPILING_IN_NOGIL 0
  #undef CYTHON_USE_TYPE_SLOTS
  #define CYTHON_USE_TYPE_SLOTS 0
  #undef CYTHON_USE_PYTYPE_LOOKUP
  #define CYTHON_USE_PYTYPE_LOOKUP 0
  #if PY_VERSION_HEX < 0x03050000
    #undef CYTHON_USE_ASYNC_SLOTS
    #define CYTHON_USE_ASYNC_SLOTS 0
  #elif !defined(CYTHON_USE_ASYNC_SLOTS)
    #define CYTHON_USE_ASYNC_SLOTS 1
  #endif
  #undef CYTHON_USE_PYLIST_INTERNALS
  #define CYTHON_USE_PYLIST_INTERNALS 0
  #undef CYTHON_USE_UNICODE_INTERNALS
  #define CYTHON_USE_UNICODE_INTERNALS 0
  #undef CYTHON_USE_UNICODE_WRITER
  #define CYTHON_USE_UNICODE_WRITER 0
  #undef CYTHON_USE_PYLONG_INTERNALS
  #define CYTHON_USE_PYLONG_INTERNALS 0
  #undef CYTHON_AVOID_BORROWED_REFS
  #define CYTHON_AVOID_BORROWED_REFS 1
  #undef CYTHON_ASSUME_SAFE_MACROS
  #define CYTHON_ASSUME_SAFE_MACROS 0
  #undef CYTHON_UNPACK_METHODS
  #define CYTHON_UNPACK_METHODS 0
  #undef CYTHON_FAST_THREAD_STATE
  #define CYTHON_FAST_THREAD_STATE 0
  #undef CYTHON_FAST_PYCALL
  #define CYTHON_FAST_PYCALL 0
  #undef CYTHON_PEP489_MULTI_PHASE_INIT
  #define CYTHON_PEP489_MULTI_PHASE_INIT 0
  #undef CYTHON_USE_TP_FINALIZE
  #define CYTHON_USE_TP_FINALIZE 0
  #undef CYTHON_USE_DICT_VERSIONS
  #define CYTHON_USE_DICT_VERSIONS 0
  #undef CYTHON_USE_EXC_INFO_STACK
  #define CYTHON_USE_EXC_INFO_STACK 0
  #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC
    #define CYTHON_UPDATE_DESCRIPTOR_DOC (PYPY_VERSION_HEX >= 0x07030900)
  #endif
#elif defined(PYSTON_VERSION)
  #define CYTHON_COMPILING_IN_PYPY 0
  #define CYTHON_COMPILING_IN_PYSTON 1
  #define CYTHON_COMPILING_IN_CPYTHON 0
  #define CYTHON_COMPILING_IN_NOGIL 0
  #ifndef CYTHON_USE_TYPE_SLOTS
    #define CYTHON_USE_TYPE_SLOTS 1
  #endif
  #undef CYTHON_USE_PYTYPE_LOOKUP
  #define CYTHON_USE_PYTYPE_LOOKUP 0
  #undef CYTHON_USE_ASYNC_SLOTS
  #define CYTHON_USE_ASYNC_SLOTS 0
  #undef CYTHON_USE_PYLIST_INTERNALS
  #define CYTHON_USE_PYLIST_INTERNALS 0
  #ifndef CYTHON_USE_UNICODE_INTERNALS
    #define CYTHON_USE_UNICODE_INTERNALS 1
  #endif
  #undef CYTHON_USE_UNICODE_WRITER
  #define CYTHON_USE_UNICODE_WRITER 0
  #undef CYTHON_USE_PYLONG_INTERNALS
  #define CYTHON_USE_PYLONG_INTERNALS 0
  #ifndef CYTHON_AVOID_BORROWED_REFS
    #define CYTHON_AVOID_BORROWED_REFS 0
  #endif
  #ifndef CYTHON_ASSUME_SAFE_MACROS
    #define CYTHON_ASSUME_SAFE_MACROS 1
  #endif
  #ifndef CYTHON_UNPACK_METHODS
    #define CYTHON_UNPACK_METHODS 1
  #endif
  #undef CYTHON_FAST_THREAD_STATE
  #define CYTHON_FAST_THREAD_STATE 0
  #undef CYTHON_FAST_PYCALL
  #define CYTHON_FAST_PYCALL 0
  #undef CYTHON_PEP489_MULTI_PHASE_INIT
  #define CYTHON_PEP489_MULTI_PHASE_INIT 0
  #undef CYTHON_USE_TP_FINALIZE
  #define CYTHON_USE_TP_FINALIZE 0
  #undef CYTHON_USE_DICT_VERSIONS
  #define CYTHON_USE_DICT_VERSIONS 0
  #undef CYTHON_USE_EXC_INFO_STACK
  #define CYTHON_USE_EXC_INFO_STACK 0
  #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC
    #define CYTHON_UPDATE_DESCRIPTOR_DOC 0
  #endif
#elif defined(PY_NOGIL)
  #define CYTHON_COMPILING_IN_PYPY 0
  #define CYTHON_COMPILING_IN_PYSTON 0
  #define CYTHON_COMPILING_IN_CPYTHON 0
  #define CYTHON_COMPILING_IN_NOGIL 1
  #ifndef CYTHON_USE_TYPE_SLOTS
    #define CYTHON_USE_TYPE_SLOTS 1
  #endif
  #undef CYTHON_USE_PYTYPE_LOOKUP
  #define CYTHON_USE_PYTYPE_LOOKUP 0
  #ifndef CYTHON_USE_ASYNC_SLOTS
    #define CYTHON_USE_ASYNC_SLOTS 1
  #endif
  #undef CYTHON_USE_PYLIST_INTERNALS
  #define CYTHON_USE_PYLIST_INTERNALS 0
  #ifndef CYTHON_USE_UNICODE_INTERNALS
    #define CYTHON_USE_UNICODE_INTERNALS 1
  #endif
  #undef CYTHON_USE_UNICODE_WRITER
  #define CYTHON_USE_UNICODE_WRITER 0
  #undef CYTHON_USE_PYLONG_INTERNALS
  #define CYTHON_USE_PYLONG_INTERNALS 0
  #ifndef CYTHON_AVOID_BORROWED_REFS
    #define CYTHON_AVOID_BORROWED_REFS 0
  #endif
  #ifndef CYTHON_ASSUME_SAFE_MACROS
    #define CYTHON_ASSUME_SAFE_MACROS 1
  #endif
  #ifndef CYTHON_UNPACK_METHODS
    #define CYTHON_UNPACK_METHODS 1
  #endif
  #undef CYTHON_FAST_THREAD_STATE
  #define CYTHON_FAST_THREAD_STATE 0
  #undef CYTHON_FAST_PYCALL
  #define CYTHON_FAST_PYCALL 0
  #ifndef CYTHON_PEP489_MULTI_PHASE_INIT
    #define CYTHON_PEP489_MULTI_PHASE_INIT 1
  #endif
  #ifndef CYTHON_USE_TP_FINALIZE
    #define CYTHON_USE_TP_FINALIZE 1
  #endif
  #undef CYTHON_USE_DICT_VERSIONS
  #define CYTHON_USE_DICT_VERSIONS 0
  #undef CYTHON_USE_EXC_INFO_STACK
  #define CYTHON_USE_EXC_INFO_STACK 0
#else
  #define CYTHON_COMPILING_IN_PYPY 0
  #define CYTHON_COMPILING_IN_PYSTON 0
  #define CYTHON_COMPILING_IN_CPYTHON 1
  #define CYTHON_COMPILING_IN_NOGIL 0
  #ifndef CYTHON_USE_TYPE_SLOTS
    #define CYTHON_USE_TYPE_SLOTS 1
  #endif
  #if PY_VERSION_HEX < 0x02070000
    #undef CYTHON_USE_PYTYPE_LOOKUP
    #define CYTHON_USE_PYTYPE_LOOKUP 0
  #elif !defined(CYTHON_USE_PYTYPE_LOOKUP)
    #define CYTHON_USE_PYTYPE_LOOKUP 1
  #endif
  #if PY_MAJOR_VERSION < 3
    #undef CYTHON_USE_ASYNC_SLOTS
    #define CYTHON_USE_ASYNC_SLOTS 0
  #elif !defined(CYTHON_USE_ASYNC_SLOTS)
    #define CYTHON_USE_ASYNC_SLOTS 1
  #endif
  #if PY_VERSION_HEX < 0x02070000
    #undef CYTHON_USE_PYLONG_INTERNALS
    #define CYTHON_USE_PYLONG_INTERNALS 0
  #elif !defined(CYTHON_USE_PYLONG_INTERNALS)
    #define CYTHON_USE_PYLONG_INTERNALS 1
  #endif
  #ifndef CYTHON_USE_PYLIST_INTERNALS
    #define CYTHON_USE_PYLIST_INTERNALS 1
  #endif
  #ifndef CYTHON_USE_UNICODE_INTERNALS
    #define CYTHON_USE_UNICODE_INTERNALS 1
  #endif
  #if PY_VERSION_HEX < 0x030300F0 || PY_VERSION_HEX >= 0x030B00A2
    #undef CYTHON_USE_UNICODE_WRITER
    #define CYTHON_USE_UNICODE_WRITER 0
  #elif !defined(CYTHON_USE_UNICODE_WRITER)
    #define CYTHON_USE_UNICODE_WRITER 1
  #endif
  #ifndef CYTHON_AVOID_BORROWED_REFS
    #define CYTHON_AVOID_BORROWED_REFS 0
  #endif
  #ifndef CYTHON_ASSUME_SAFE_MACROS
    #define CYTHON_ASSUME_SAFE_MACROS 1
  #endif
  #ifndef CYTHON_UNPACK_METHODS
    #define CYTHON_UNPACK_METHODS 1
  #endif
  #if PY_VERSION_HEX >= 0x030B00A4
    #undef CYTHON_FAST_THREAD_STATE
    #define CYTHON_FAST_THREAD_STATE 0
  #elif !defined(CYTHON_FAST_THREAD_STATE)
    #define CYTHON_FAST_THREAD_STATE 1
  #endif
  #ifndef CYTHON_FAST_PYCALL
    #define CYTHON_FAST_PYCALL (PY_VERSION_HEX < 0x030A0000)
  #endif
  #ifndef CYTHON_PEP489_MULTI_PHASE_INIT
    #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000)
  #endif
  #ifndef CYTHON_USE_TP_FINALIZE
    #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
  #endif
  #ifndef CYTHON_USE_DICT_VERSIONS
    #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1)
  #endif
  #if PY_VERSION_HEX >= 0x030B00A4
    #undef CYTHON_USE_EXC_INFO_STACK
    #define CYTHON_USE_EXC_INFO_STACK 0
  #elif !defined(CYTHON_USE_EXC_INFO_STACK)
    #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3)
  #endif
  #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC
    #define CYTHON_UPDATE_DESCRIPTOR_DOC 1
  #endif
#endif
#if !defined(CYTHON_FAST_PYCCALL)
#define CYTHON_FAST_PYCCALL  (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
#endif
#if CYTHON_USE_PYLONG_INTERNALS
  #if PY_MAJOR_VERSION < 3
    #include "longintrepr.h"
  #endif
  #undef SHIFT
  #undef BASE
  #undef MASK
  #ifdef SIZEOF_VOID_P
    enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) };
  #endif
#endif
#ifndef __has_attribute
  #define __has_attribute(x) 0
#endif
#ifndef __has_cpp_attribute
  #define __has_cpp_attribute(x) 0
#endif
#ifndef CYTHON_RESTRICT
  #if defined(__GNUC__)
    #define CYTHON_RESTRICT __restrict__
  #elif defined(_MSC_VER) && _MSC_VER >= 1400
    #define CYTHON_RESTRICT __restrict
  #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
    #define CYTHON_RESTRICT restrict
  #else
    #define CYTHON_RESTRICT
  #endif
#endif
#ifndef CYTHON_UNUSED
# if defined(__GNUC__)
#   if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
#     define CYTHON_UNUSED __attribute__ ((__unused__))
#   else
#     define CYTHON_UNUSED
#   endif
# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
#   define CYTHON_UNUSED __attribute__ ((__unused__))
# else
#   define CYTHON_UNUSED
# endif
#endif
#ifndef CYTHON_MAYBE_UNUSED_VAR
#  if defined(__cplusplus)
     template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }
#  else
#    define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)
#  endif
#endif
#ifndef CYTHON_NCP_UNUSED
# if CYTHON_COMPILING_IN_CPYTHON
#  define CYTHON_NCP_UNUSED
# else
#  define CYTHON_NCP_UNUSED CYTHON_UNUSED
# endif
#endif
#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
#ifdef _MSC_VER
    #ifndef _MSC_STDINT_H_
        #if _MSC_VER < 1300
           typedef unsigned char     uint8_t;
           typedef unsigned int      uint32_t;
        #else
           typedef unsigned __int8   uint8_t;
           typedef unsigned __int32  uint32_t;
        #endif
    #endif
#else
   #include <stdint.h>
#endif
#ifndef CYTHON_FALLTHROUGH
  #if defined(__cplusplus) && __cplusplus >= 201103L
    #if __has_cpp_attribute(fallthrough)
      #define CYTHON_FALLTHROUGH [[fallthrough]]
    #elif __has_cpp_attribute(clang::fallthrough)
      #define CYTHON_FALLTHROUGH [[clang::fallthrough]]
    #elif __has_cpp_attribute(gnu::fallthrough)
      #define CYTHON_FALLTHROUGH [[gnu::fallthrough]]
    #endif
  #endif
  #ifndef CYTHON_FALLTHROUGH
    #if __has_attribute(fallthrough)
      #define CYTHON_FALLTHROUGH __attribute__((fallthrough))
    #else
      #define CYTHON_FALLTHROUGH
    #endif
  #endif
  #if defined(__clang__ ) && defined(__apple_build_version__)
    #if __apple_build_version__ < 7000000
      #undef  CYTHON_FALLTHROUGH
      #define CYTHON_FALLTHROUGH
    #endif
  #endif
#endif

#ifndef __cplusplus
  #error "Cython files generated with the C++ option must be compiled with a C++ compiler."
#endif
#ifndef CYTHON_INLINE
  #if defined(__clang__)
    #define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
  #else
    #define CYTHON_INLINE inline
  #endif
#endif
template<typename T>
void __Pyx_call_destructor(T& x) {
    x.~T();
}
template<typename T>
class __Pyx_FakeReference {
  public:
    __Pyx_FakeReference() : ptr(NULL) { }
    __Pyx_FakeReference(const T& ref) : ptr(const_cast<T*>(&ref)) { }
    T *operator->() { return ptr; }
    T *operator&() { return ptr; }
    operator T&() { return *ptr; }
    template<typename U> bool operator ==(U other) { return *ptr == other; }
    template<typename U> bool operator !=(U other) { return *ptr != other; }
  private:
    T *ptr;
};

#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
  #define Py_OptimizeFlag 0
#endif
#define __PYX_BUILD_PY_SSIZE_T "n"
#define CYTHON_FORMAT_SSIZE_T "z"
#if PY_MAJOR_VERSION < 3
  #define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
  #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
          PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
  #define __Pyx_DefaultClassType PyClass_Type
#else
  #define __Pyx_BUILTIN_MODULE_NAME "builtins"
  #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
#ifndef Py_TPFLAGS_CHECKTYPES
  #define Py_TPFLAGS_CHECKTYPES 0
#endif
#ifndef Py_TPFLAGS_HAVE_INDEX
  #define Py_TPFLAGS_HAVE_INDEX 0
#endif
#ifndef Py_TPFLAGS_HAVE_NEWBUFFER
  #define Py_TPFLAGS_HAVE_NEWBUFFER 0
#endif
#ifndef Py_TPFLAGS_HAVE_FINALIZE
  #define Py_TPFLAGS_HAVE_FINALIZE 0
#endif
#ifndef METH_STACKLESS
  #define METH_STACKLESS 0
#endif
#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL)
  #ifndef METH_FASTCALL
     #define METH_FASTCALL 0x80
  #endif
  typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs);
  typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args,
                                                          Py_ssize_t nargs, PyObject *kwnames);
#else
  #define __Pyx_PyCFunctionFast _PyCFunctionFast
  #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords
#endif
#if CYTHON_FAST_PYCCALL
#define __Pyx_PyFastCFunction_Check(func)\
    ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)))))
#else
#define __Pyx_PyFastCFunction_Check(func) 0
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)
  #define PyObject_Malloc(s)   PyMem_Malloc(s)
  #define PyObject_Free(p)     PyMem_Free(p)
  #define PyObject_Realloc(p)  PyMem_Realloc(p)
#endif
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1
  #define PyMem_RawMalloc(n)           PyMem_Malloc(n)
  #define PyMem_RawRealloc(p, n)       PyMem_Realloc(p, n)
  #define PyMem_RawFree(p)             PyMem_Free(p)
#endif
#if CYTHON_COMPILING_IN_PYSTON
  #define __Pyx_PyCode_HasFreeVars(co)  PyCode_HasFreeVars(co)
  #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)
#else
  #define __Pyx_PyCode_HasFreeVars(co)  (PyCode_GetNumFree(co) > 0)
  #define __Pyx_PyFrame_SetLineNumber(frame, lineno)  (frame)->f_lineno = (lineno)
#endif
#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000
  #define __Pyx_PyThreadState_Current PyThreadState_GET()
#elif PY_VERSION_HEX >= 0x03060000
  #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()
#elif PY_VERSION_HEX >= 0x03000000
  #define __Pyx_PyThreadState_Current PyThreadState_GET()
#else
  #define __Pyx_PyThreadState_Current _PyThreadState_Current
#endif
#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT)
#include "pythread.h"
#define Py_tss_NEEDS_INIT 0
typedef int Py_tss_t;
static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {
  *key = PyThread_create_key();
  return 0;
}
static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) {
  Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));
  *key = Py_tss_NEEDS_INIT;
  return key;
}
static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {
  PyObject_Free(key);
}
static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {
  return *key != Py_tss_NEEDS_INIT;
}
static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {
  PyThread_delete_key(*key);
  *key = Py_tss_NEEDS_INIT;
}
static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) {
  return PyThread_set_key_value(*key, value);
}
static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) {
  return PyThread_get_key_value(*key);
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)
#define __Pyx_PyDict_NewPresized(n)  ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))
#else
#define __Pyx_PyDict_NewPresized(n)  PyDict_New()
#endif
#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION
  #define __Pyx_PyNumber_Divide(x,y)         PyNumber_TrueDivide(x,y)
  #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceTrueDivide(x,y)
#else
  #define __Pyx_PyNumber_Divide(x,y)         PyNumber_Divide(x,y)
  #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceDivide(x,y)
#endif
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS
#define __Pyx_PyDict_GetItemStr(dict, name)  _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)
#else
#define __Pyx_PyDict_GetItemStr(dict, name)  PyDict_GetItem(dict, name)
#endif
#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
  #define CYTHON_PEP393_ENABLED 1
  #if defined(PyUnicode_IS_READY)
  #define __Pyx_PyUnicode_READY(op)       (likely(PyUnicode_IS_READY(op)) ?\
                                              0 : _PyUnicode_Ready((PyObject *)(op)))
  #else
  #define __Pyx_PyUnicode_READY(op)       (0)
  #endif
  #define __Pyx_PyUnicode_GET_LENGTH(u)   PyUnicode_GET_LENGTH(u)
  #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
  #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u)   PyUnicode_MAX_CHAR_VALUE(u)
  #define __Pyx_PyUnicode_KIND(u)         PyUnicode_KIND(u)
  #define __Pyx_PyUnicode_DATA(u)         PyUnicode_DATA(u)
  #define __Pyx_PyUnicode_READ(k, d, i)   PyUnicode_READ(k, d, i)
  #define __Pyx_PyUnicode_WRITE(k, d, i, ch)  PyUnicode_WRITE(k, d, i, ch)
  #if defined(PyUnicode_IS_READY) && defined(PyUnicode_GET_SIZE)
  #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x03090000
  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : ((PyCompactUnicodeObject *)(u))->wstr_length))
  #else
  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
  #endif
  #else
  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != PyUnicode_GET_LENGTH(u))
  #endif
#else
  #define CYTHON_PEP393_ENABLED 0
  #define PyUnicode_1BYTE_KIND  1
  #define PyUnicode_2BYTE_KIND  2
  #define PyUnicode_4BYTE_KIND  4
  #define __Pyx_PyUnicode_READY(op)       (0)
  #define __Pyx_PyUnicode_GET_LENGTH(u)   PyUnicode_GET_SIZE(u)
  #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))
  #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u)   ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)
  #define __Pyx_PyUnicode_KIND(u)         (sizeof(Py_UNICODE))
  #define __Pyx_PyUnicode_DATA(u)         ((void*)PyUnicode_AS_UNICODE(u))
  #define __Pyx_PyUnicode_READ(k, d, i)   ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))
  #define __Pyx_PyUnicode_WRITE(k, d, i, ch)  (((void)(k)), ((Py_UNICODE*)d)[i] = ch)
  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != PyUnicode_GET_SIZE(u))
#endif
#if CYTHON_COMPILING_IN_PYPY
  #define __Pyx_PyUnicode_Concat(a, b)      PyNumber_Add(a, b)
  #define __Pyx_PyUnicode_ConcatSafe(a, b)  PyNumber_Add(a, b)
#else
  #define __Pyx_PyUnicode_Concat(a, b)      PyUnicode_Concat(a, b)
  #define __Pyx_PyUnicode_ConcatSafe(a, b)  ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\
      PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)
  #define PyUnicode_Contains(u, s)  PySequence_Contains(u, s)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)
  #define PyByteArray_Check(obj)  PyObject_TypeCheck(obj, &PyByteArray_Type)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)
  #define PyObject_Format(obj, fmt)  PyObject_CallMethod(obj, "__format__", "O", fmt)
#endif
#define __Pyx_PyString_FormatSafe(a, b)   ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
#define __Pyx_PyUnicode_FormatSafe(a, b)  ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
#if PY_MAJOR_VERSION >= 3
  #define __Pyx_PyString_Format(a, b)  PyUnicode_Format(a, b)
#else
  #define __Pyx_PyString_Format(a, b)  PyString_Format(a, b)
#endif
#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)
  #define PyObject_ASCII(o)            PyObject_Repr(o)
#endif
#if PY_MAJOR_VERSION >= 3
  #define PyBaseString_Type            PyUnicode_Type
  #define PyStringObject               PyUnicodeObject
  #define PyString_Type                PyUnicode_Type
  #define PyString_Check               PyUnicode_Check
  #define PyString_CheckExact          PyUnicode_CheckExact
#ifndef PyObject_Unicode
  #define PyObject_Unicode             PyObject_Str
#endif
#endif
#if PY_MAJOR_VERSION >= 3
  #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
  #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
#else
  #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
  #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
#endif
#ifndef PySet_CheckExact
  #define PySet_CheckExact(obj)        (Py_TYPE(obj) == &PySet_Type)
#endif
#if PY_VERSION_HEX >= 0x030900A4
  #define __Pyx_SET_REFCNT(obj, refcnt) Py_SET_REFCNT(obj, refcnt)
  #define __Pyx_SET_SIZE(obj, size) Py_SET_SIZE(obj, size)
#else
  #define __Pyx_SET_REFCNT(obj, refcnt) Py_REFCNT(obj) = (refcnt)
  #define __Pyx_SET_SIZE(obj, size) Py_SIZE(obj) = (size)
#endif
#if CYTHON_ASSUME_SAFE_MACROS
  #define __Pyx_PySequence_SIZE(seq)  Py_SIZE(seq)
#else
  #define __Pyx_PySequence_SIZE(seq)  PySequence_Size(seq)
#endif
#if PY_MAJOR_VERSION >= 3
  #define PyIntObject                  PyLongObject
  #define PyInt_Type                   PyLong_Type
  #define PyInt_Check(op)              PyLong_Check(op)
  #define PyInt_CheckExact(op)         PyLong_CheckExact(op)
  #define PyInt_FromString             PyLong_FromString
  #define PyInt_FromUnicode            PyLong_FromUnicode
  #define PyInt_FromLong               PyLong_FromLong
  #define PyInt_FromSize_t             PyLong_FromSize_t
  #define PyInt_FromSsize_t            PyLong_FromSsize_t
  #define PyInt_AsLong                 PyLong_AsLong
  #define PyInt_AS_LONG                PyLong_AS_LONG
  #define PyInt_AsSsize_t              PyLong_AsSsize_t
  #define PyInt_AsUnsignedLongMask     PyLong_AsUnsignedLongMask
  #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
  #define PyNumber_Int                 PyNumber_Long
#endif
#if PY_MAJOR_VERSION >= 3
  #define PyBoolObject                 PyLongObject
#endif
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
  #ifndef PyUnicode_InternFromString
    #define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
  #endif
#endif
#if PY_VERSION_HEX < 0x030200A4
  typedef long Py_hash_t;
  #define __Pyx_PyInt_FromHash_t PyInt_FromLong
  #define __Pyx_PyInt_AsHash_t   __Pyx_PyIndex_AsHash_t
#else
  #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
  #define __Pyx_PyInt_AsHash_t   __Pyx_PyIndex_AsSsize_t
#endif
#if PY_MAJOR_VERSION >= 3
  #define __Pyx_PyMethod_New(func, self, klass) ((self) ? ((void)(klass), PyMethod_New(func, self)) : __Pyx_NewRef(func))
#else
  #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
#endif
#if CYTHON_USE_ASYNC_SLOTS
  #if PY_VERSION_HEX >= 0x030500B1
    #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
    #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
  #else
    #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
  #endif
#else
  #define __Pyx_PyType_AsAsync(obj) NULL
#endif
#ifndef __Pyx_PyAsyncMethodsStruct
    typedef struct {
        unaryfunc am_await;
        unaryfunc am_aiter;
        unaryfunc am_anext;
    } __Pyx_PyAsyncMethodsStruct;
#endif

#if defined(_WIN32) || defined(WIN32) || defined(MS_WINDOWS)
  #if !defined(_USE_MATH_DEFINES)
    #define _USE_MATH_DEFINES
  #endif
#endif
#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
#else
static CYTHON_INLINE float __PYX_NAN() {
  float value;
  memset(&value, 0xFF, sizeof(value));
  return value;
}
#endif
#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
#define __Pyx_truncl trunc
#else
#define __Pyx_truncl truncl
#endif

#define __PYX_MARK_ERR_POS(f_index, lineno) \
    { __pyx_filename = __pyx_f[f_index]; (void)__pyx_filename; __pyx_lineno = lineno; (void)__pyx_lineno; __pyx_clineno = __LINE__; (void)__pyx_clineno; }
#define __PYX_ERR(f_index, lineno, Ln_error) \
    { __PYX_MARK_ERR_POS(f_index, lineno) goto Ln_error; }

#ifndef __PYX_EXTERN_C
  #ifdef __cplusplus
    #define __PYX_EXTERN_C extern "C"
  #else
    #define __PYX_EXTERN_C extern
  #endif
#endif

#define __PYX_HAVE__gensim__models__doc2vec_inner
#define __PYX_HAVE_API__gensim__models__doc2vec_inner
/* Early includes */
#include <string.h>
#include <stdio.h>
#include "numpy/arrayobject.h"
#include "numpy/ufuncobject.h"

    /* NumPy API declarations from "numpy/__init__.pxd" */
    
#include "voidptr.h"
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */

#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
#endif

typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
                const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;

#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)
#define __PYX_DEFAULT_STRING_ENCODING ""
#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#define __Pyx_uchar_cast(c) ((unsigned char)c)
#define __Pyx_long_cast(x) ((long)x)
#define __Pyx_fits_Py_ssize_t(v, type, is_signed)  (\
    (sizeof(type) < sizeof(Py_ssize_t))  ||\
    (sizeof(type) > sizeof(Py_ssize_t) &&\
          likely(v < (type)PY_SSIZE_T_MAX ||\
                 v == (type)PY_SSIZE_T_MAX)  &&\
          (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
                                v == (type)PY_SSIZE_T_MIN)))  ||\
    (sizeof(type) == sizeof(Py_ssize_t) &&\
          (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\
                               v == (type)PY_SSIZE_T_MAX)))  )
static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {
    return (size_t) i < (size_t) limit;
}
#if defined (__cplusplus) && __cplusplus >= 201103L
    #include <cstdlib>
    #define __Pyx_sst_abs(value) std::abs(value)
#elif SIZEOF_INT >= SIZEOF_SIZE_T
    #define __Pyx_sst_abs(value) abs(value)
#elif SIZEOF_LONG >= SIZEOF_SIZE_T
    #define __Pyx_sst_abs(value) labs(value)
#elif defined (_MSC_VER)
    #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
    #define __Pyx_sst_abs(value) llabs(value)
#elif defined (__GNUC__)
    #define __Pyx_sst_abs(value) __builtin_llabs(value)
#else
    #define __Pyx_sst_abs(value) ((value<0) ? -value : value)
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
#define __Pyx_PyBytes_FromString        PyBytes_FromString
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
#if PY_MAJOR_VERSION < 3
    #define __Pyx_PyStr_FromString        __Pyx_PyBytes_FromString
    #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#else
    #define __Pyx_PyStr_FromString        __Pyx_PyUnicode_FromString
    #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
#endif
#define __Pyx_PyBytes_AsWritableString(s)     ((char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableSString(s)    ((signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableUString(s)    ((unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsString(s)     ((const char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsSString(s)    ((const signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsUString(s)    ((const unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyObject_AsWritableString(s)    ((char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableSString(s)    ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableUString(s)    ((unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsSString(s)    ((const signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s)    ((const unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_FromCString(s)  __Pyx_PyObject_FromString((const char*)s)
#define __Pyx_PyBytes_FromCString(s)   __Pyx_PyBytes_FromString((const char*)s)
#define __Pyx_PyByteArray_FromCString(s)   __Pyx_PyByteArray_FromString((const char*)s)
#define __Pyx_PyStr_FromCString(s)     __Pyx_PyStr_FromString((const char*)s)
#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
    const Py_UNICODE *u_end = u;
    while (*u_end++) ;
    return (size_t)(u_end - u - 1);
}
#define __Pyx_PyUnicode_FromUnicode(u)       PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
#define __Pyx_PyUnicode_AsUnicode            PyUnicode_AsUnicode
#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
#define __Pyx_PySequence_Tuple(obj)\
    (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
static CYTHON_INLINE Py_hash_t __Pyx_PyIndex_AsHash_t(PyObject*);
#if CYTHON_ASSUME_SAFE_MACROS
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
#endif
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
#else
#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
#endif
#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
static int __Pyx_sys_getdefaultencoding_not_ascii;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
    PyObject* sys;
    PyObject* default_encoding = NULL;
    PyObject* ascii_chars_u = NULL;
    PyObject* ascii_chars_b = NULL;
    const char* default_encoding_c;
    sys = PyImport_ImportModule("sys");
    if (!sys) goto bad;
    default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
    Py_DECREF(sys);
    if (!default_encoding) goto bad;
    default_encoding_c = PyBytes_AsString(default_encoding);
    if (!default_encoding_c) goto bad;
    if (strcmp(default_encoding_c, "ascii") == 0) {
        __Pyx_sys_getdefaultencoding_not_ascii = 0;
    } else {
        char ascii_chars[128];
        int c;
        for (c = 0; c < 128; c++) {
            ascii_chars[c] = c;
        }
        __Pyx_sys_getdefaultencoding_not_ascii = 1;
        ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
        if (!ascii_chars_u) goto bad;
        ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
        if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
            PyErr_Format(
                PyExc_ValueError,
                "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
                default_encoding_c);
            goto bad;
        }
        Py_DECREF(ascii_chars_u);
        Py_DECREF(ascii_chars_b);
    }
    Py_DECREF(default_encoding);
    return 0;
bad:
    Py_XDECREF(default_encoding);
    Py_XDECREF(ascii_chars_u);
    Py_XDECREF(ascii_chars_b);
    return -1;
}
#endif
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
#else
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
static char* __PYX_DEFAULT_STRING_ENCODING;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
    PyObject* sys;
    PyObject* default_encoding = NULL;
    char* default_encoding_c;
    sys = PyImport_ImportModule("sys");
    if (!sys) goto bad;
    default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
    Py_DECREF(sys);
    if (!default_encoding) goto bad;
    default_encoding_c = PyBytes_AsString(default_encoding);
    if (!default_encoding_c) goto bad;
    __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);
    if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
    strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
    Py_DECREF(default_encoding);
    return 0;
bad:
    Py_XDECREF(default_encoding);
    return -1;
}
#endif
#endif


/* Test for GCC > 2.95 */
#if defined(__GNUC__)     && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
  #define likely(x)   __builtin_expect(!!(x), 1)
  #define unlikely(x) __builtin_expect(!!(x), 0)
#else /* !__GNUC__ or GCC < 2.95 */
  #define likely(x)   (x)
  #define unlikely(x) (x)
#endif /* __GNUC__ */
static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }

static PyObject *__pyx_m = NULL;
static PyObject *__pyx_d;
static PyObject *__pyx_b;
static PyObject *__pyx_cython_runtime = NULL;
static PyObject *__pyx_empty_tuple;
static PyObject *__pyx_empty_bytes;
static PyObject *__pyx_empty_unicode;
static int __pyx_lineno;
static int __pyx_clineno = 0;
static const char * __pyx_cfilenm= __FILE__;
static const char *__pyx_filename;

/* Header.proto */
#if !defined(CYTHON_CCOMPLEX)
  #if defined(__cplusplus)
    #define CYTHON_CCOMPLEX 1
  #elif defined(_Complex_I)
    #define CYTHON_CCOMPLEX 1
  #else
    #define CYTHON_CCOMPLEX 0
  #endif
#endif
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    #include <complex>
  #else
    #include <complex.h>
  #endif
#endif
#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
  #undef _Complex_I
  #define _Complex_I 1.0fj
#endif


static const char *__pyx_f[] = {
  "gensim\\models\\doc2vec_inner.pyx",
  "__init__.pxd",
  "type.pxd",
};
/* NoFastGil.proto */
#define __Pyx_PyGILState_Ensure PyGILState_Ensure
#define __Pyx_PyGILState_Release PyGILState_Release
#define __Pyx_FastGIL_Remember()
#define __Pyx_FastGIL_Forget()
#define __Pyx_FastGilFuncInit()

/* ForceInitThreads.proto */
#ifndef __PYX_FORCE_INIT_THREADS
  #define __PYX_FORCE_INIT_THREADS 0
#endif


/* "../_h_env/lib/site-packages/numpy/__init__.pxd":689
 * # 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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":690
 * 
 * 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;

/* "../_h_env/lib/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
 * #ctypedef npy_int96      int96_t
 */
typedef npy_int32 __pyx_t_5numpy_int32_t;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":692
 * 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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":696
 * #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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":697
 * 
 * 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;

/* "../_h_env/lib/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
 * #ctypedef npy_uint96     uint96_t
 */
typedef npy_uint32 __pyx_t_5numpy_uint32_t;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":699
 * 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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":703
 * #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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":704
 * 
 * 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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":713
 * # 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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":714
 * # 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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":715
 * 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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":717
 * 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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":718
 * 
 * ctypedef npy_ulong      uint_t
 * ctypedef npy_ulonglong  ulong_t             # <<<<<<<<<<<<<<
 * ctypedef npy_ulonglong  ulonglong_t
 * 
 */
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":719
 * 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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":721
 * ctypedef npy_ulonglong  ulonglong_t
 * 
 * ctypedef npy_intp       intp_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uintp      uintp_t
 * 
 */
typedef npy_intp __pyx_t_5numpy_intp_t;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":722
 * 
 * ctypedef npy_intp       intp_t
 * ctypedef npy_uintp      uintp_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_double     float_t
 */
typedef npy_uintp __pyx_t_5numpy_uintp_t;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":724
 * 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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":725
 * 
 * ctypedef npy_double     float_t
 * ctypedef npy_double     double_t             # <<<<<<<<<<<<<<
 * ctypedef npy_longdouble longdouble_t
 * 
 */
typedef npy_double __pyx_t_5numpy_double_t;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":726
 * ctypedef npy_double     float_t
 * ctypedef npy_double     double_t
 * ctypedef npy_longdouble longdouble_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_cfloat      cfloat_t
 */
typedef npy_longdouble __pyx_t_5numpy_longdouble_t;

/* "gensim/models/word2vec_inner.pxd":20
 *     void* PyCObject_AsVoidPtr(object obj)
 * 
 * ctypedef np.float32_t REAL_t             # <<<<<<<<<<<<<<
 * 
 * # BLAS routine signatures
 */
typedef __pyx_t_5numpy_float32_t __pyx_t_6gensim_6models_14word2vec_inner_REAL_t;
/* Declarations.proto */
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    typedef ::std::complex< float > __pyx_t_float_complex;
  #else
    typedef float _Complex __pyx_t_float_complex;
  #endif
#else
    typedef struct { float real, imag; } __pyx_t_float_complex;
#endif
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float);

/* Declarations.proto */
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    typedef ::std::complex< double > __pyx_t_double_complex;
  #else
    typedef double _Complex __pyx_t_double_complex;
  #endif
#else
    typedef struct { double real, imag; } __pyx_t_double_complex;
#endif
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double);


/*--- Type declarations ---*/

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":728
 * 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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":729
 * 
 * ctypedef npy_cfloat      cfloat_t
 * ctypedef npy_cdouble     cdouble_t             # <<<<<<<<<<<<<<
 * ctypedef npy_clongdouble clongdouble_t
 * 
 */
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":730
 * 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;

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":732
 * 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;
};

/* --- Runtime support code (head) --- */
/* Refnanny.proto */
#ifndef CYTHON_REFNANNY
  #define CYTHON_REFNANNY 0
#endif
#if CYTHON_REFNANNY
  typedef struct {
    void (*INCREF)(void*, PyObject*, int);
    void (*DECREF)(void*, PyObject*, int);
    void (*GOTREF)(void*, PyObject*, int);
    void (*GIVEREF)(void*, PyObject*, int);
    void* (*SetupContext)(const char*, int, const char*);
    void (*FinishContext)(void**);
  } __Pyx_RefNannyAPIStruct;
  static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL;
  static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname);
  #define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL;
#ifdef WITH_THREAD
  #define __Pyx_RefNannySetupContext(name, acquire_gil)\
          if (acquire_gil) {\
              PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure();\
              __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__);\
              PyGILState_Release(__pyx_gilstate_save);\
          } else {\
              __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__);\
          }
#else
  #define __Pyx_RefNannySetupContext(name, acquire_gil)\
          __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__)
#endif
  #define __Pyx_RefNannyFinishContext()\
          __Pyx_RefNanny->FinishContext(&__pyx_refnanny)
  #define __Pyx_INCREF(r)  __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
  #define __Pyx_DECREF(r)  __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
  #define __Pyx_GOTREF(r)  __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
  #define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
  #define __Pyx_XINCREF(r)  do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0)
  #define __Pyx_XDECREF(r)  do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0)
  #define __Pyx_XGOTREF(r)  do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
  #define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0)
#else
  #define __Pyx_RefNannyDeclarations
  #define __Pyx_RefNannySetupContext(name, acquire_gil)
  #define __Pyx_RefNannyFinishContext()
  #define __Pyx_INCREF(r) Py_INCREF(r)
  #define __Pyx_DECREF(r) Py_DECREF(r)
  #define __Pyx_GOTREF(r)
  #define __Pyx_GIVEREF(r)
  #define __Pyx_XINCREF(r) Py_XINCREF(r)
  #define __Pyx_XDECREF(r) Py_XDECREF(r)
  #define __Pyx_XGOTREF(r)
  #define __Pyx_XGIVEREF(r)
#endif
#define __Pyx_XDECREF_SET(r, v) do {\
        PyObject *tmp = (PyObject *) r;\
        r = v; __Pyx_XDECREF(tmp);\
    } while (0)
#define __Pyx_DECREF_SET(r, v) do {\
        PyObject *tmp = (PyObject *) r;\
        r = v; __Pyx_DECREF(tmp);\
    } while (0)
#define __Pyx_CLEAR(r)    do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0)
#define __Pyx_XCLEAR(r)   do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0)

/* PyObjectGetAttrStr.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n)
#endif

/* GetBuiltinName.proto */
static PyObject *__Pyx_GetBuiltinName(PyObject *name);

/* PyIntCompare.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_NeObjC(PyObject *op1, PyObject *op2, long intval, long inplace);

/* PySequenceContains.proto */
static CYTHON_INLINE int __Pyx_PySequence_ContainsTF(PyObject* item, PyObject* seq, int eq) {
    int result = PySequence_Contains(seq, item);
    return unlikely(result < 0) ? result : (result == (eq == Py_EQ));
}

/* PyCFunctionFastCall.proto */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
#else
#define __Pyx_PyCFunction_FastCall(func, args, nargs)  (assert(0), NULL)
#endif

/* PyFunctionFastCall.proto */
#if CYTHON_FAST_PYCALL
#define __Pyx_PyFunction_FastCall(func, args, nargs)\
    __Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL)
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs);
#else
#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)
#endif
#define __Pyx_BUILD_ASSERT_EXPR(cond)\
    (sizeof(char [1 - 2*!(cond)]) - 1)
#ifndef Py_MEMBER_SIZE
#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member)
#endif
#if CYTHON_FAST_PYCALL
  static size_t __pyx_pyframe_localsplus_offset = 0;
  #include "frameobject.h"
#if PY_VERSION_HEX >= 0x030b00a6
  #ifndef Py_BUILD_CORE
    #define Py_BUILD_CORE 1
  #endif
  #include "internal/pycore_frame.h"
#endif
  #define __Pxy_PyFrame_Initialize_Offsets()\
    ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\
     (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus)))
  #define __Pyx_PyFrame_GetLocalsplus(frame)\
    (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset))
#endif // CYTHON_FAST_PYCALL
#endif

/* PyObjectCall.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
#else
#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
#endif

/* PyObjectCall2Args.proto */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2);

/* PyObjectCallMethO.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
#endif

/* PyObjectCallOneArg.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);

/* ExtTypeTest.proto */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);

/* PyDictVersioning.proto */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
#define __PYX_DICT_VERSION_INIT  ((PY_UINT64_T) -1)
#define __PYX_GET_DICT_VERSION(dict)  (((PyDictObject*)(dict))->ma_version_tag)
#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\
    (version_var) = __PYX_GET_DICT_VERSION(dict);\
    (cache_var) = (value);
#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\
    static PY_UINT64_T __pyx_dict_version = 0;\
    static PyObject *__pyx_dict_cached_value = NULL;\
    if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\
        (VAR) = __pyx_dict_cached_value;\
    } else {\
        (VAR) = __pyx_dict_cached_value = (LOOKUP);\
        __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\
    }\
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj);
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj);
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version);
#else
#define __PYX_GET_DICT_VERSION(dict)  (0)
#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)
#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP)  (VAR) = (LOOKUP);
#endif

/* GetModuleGlobalName.proto */
#if CYTHON_USE_DICT_VERSIONS
#define __Pyx_GetModuleGlobalName(var, name)  {\
    static PY_UINT64_T __pyx_dict_version = 0;\
    static PyObject *__pyx_dict_cached_value = NULL;\
    (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\
        (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\
        __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
}
#define __Pyx_GetModuleGlobalNameUncached(var, name)  {\
    PY_UINT64_T __pyx_dict_version;\
    PyObject *__pyx_dict_cached_value;\
    (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
}
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value);
#else
#define __Pyx_GetModuleGlobalName(var, name)  (var) = __Pyx__GetModuleGlobalName(name)
#define __Pyx_GetModuleGlobalNameUncached(var, name)  (var) = __Pyx__GetModuleGlobalName(name)
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name);
#endif

/* RaiseArgTupleInvalid.proto */
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
    Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found);

/* RaiseDoubleKeywords.proto */
static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name);

/* ParseKeywords.proto */
static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\
    PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\
    const char* function_name);

/* DictGetItem.proto */
#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key);
#define __Pyx_PyObject_Dict_GetItem(obj, name)\
    (likely(PyDict_CheckExact(obj)) ?\
     __Pyx_PyDict_GetItem(obj, name) : PyObject_GetItem(obj, name))
#else
#define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key)
#define __Pyx_PyObject_Dict_GetItem(obj, name)  PyObject_GetItem(obj, name)
#endif

/* None.proto */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);

/* GetItemInt.proto */
#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
    __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\
    (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\
               __Pyx_GetItemInt_Generic(o, to_py_func(i))))
#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
    __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
    (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
                                                              int wraparound, int boundscheck);
#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
    __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
    (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
                                                              int wraparound, int boundscheck);
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j);
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i,
                                                     int is_list, int wraparound, int boundscheck);

/* ObjectGetItem.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key);
#else
#define __Pyx_PyObject_GetItem(obj, key)  PyObject_GetItem(obj, key)
#endif

/* GetTopmostException.proto */
#if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate);
#endif

/* PyThreadStateGet.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyThreadState_declare  PyThreadState *__pyx_tstate;
#define __Pyx_PyThreadState_assign  __pyx_tstate = __Pyx_PyThreadState_Current;
#define __Pyx_PyErr_Occurred()  __pyx_tstate->curexc_type
#else
#define __Pyx_PyThreadState_declare
#define __Pyx_PyThreadState_assign
#define __Pyx_PyErr_Occurred()  PyErr_Occurred()
#endif

/* SaveResetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSave(type, value, tb)  __Pyx__ExceptionSave(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#define __Pyx_ExceptionReset(type, value, tb)  __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
#else
#define __Pyx_ExceptionSave(type, value, tb)   PyErr_GetExcInfo(type, value, tb)
#define __Pyx_ExceptionReset(type, value, tb)  PyErr_SetExcInfo(type, value, tb)
#endif

/* PyErrExceptionMatches.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err)
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err);
#else
#define __Pyx_PyErr_ExceptionMatches(err)  PyErr_ExceptionMatches(err)
#endif

/* GetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_GetException(type, value, tb)  __Pyx__GetException(__pyx_tstate, type, value, tb)
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
#endif

/* PyErrFetchRestore.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
#define __Pyx_ErrRestoreWithState(type, value, tb)  __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb)    __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrRestore(type, value, tb)  __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)
#define __Pyx_ErrFetch(type, value, tb)    __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL))
#else
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#endif
#else
#define __Pyx_PyErr_Clear() PyErr_Clear()
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#define __Pyx_ErrRestoreWithState(type, value, tb)  PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb)  PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestoreInState(tstate, type, value, tb)  PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchInState(tstate, type, value, tb)  PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestore(type, value, tb)  PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetch(type, value, tb)  PyErr_Fetch(type, value, tb)
#endif

/* RaiseException.proto */
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);

/* TypeImport.proto */
#ifndef __PYX_HAVE_RT_ImportType_proto
#define __PYX_HAVE_RT_ImportType_proto
enum __Pyx_ImportType_CheckSize {
   __Pyx_ImportType_CheckSize_Error = 0,
   __Pyx_ImportType_CheckSize_Warn = 1,
   __Pyx_ImportType_CheckSize_Ignore = 2
};
static PyTypeObject *__Pyx_ImportType(PyObject* module, const char *module_name, const char *class_name, size_t size, enum __Pyx_ImportType_CheckSize check_size);
#endif

/* Import.proto */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);

/* ImportFrom.proto */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);

/* CLineInTraceback.proto */
#ifdef CYTHON_CLINE_IN_TRACEBACK
#define __Pyx_CLineForTraceback(tstate, c_line)  (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
#else
static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
#endif

/* CodeObjectCache.proto */
typedef struct {
    PyCodeObject* code_object;
    int code_line;
} __Pyx_CodeObjectCacheEntry;
struct __Pyx_CodeObjectCache {
    int count;
    int max_count;
    __Pyx_CodeObjectCacheEntry* entries;
};
static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);

/* AddTraceback.proto */
static void __Pyx_AddTraceback(const char *funcname, int c_line,
                               int py_line, const char *filename);

/* GCCDiagnostics.proto */
#if defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6))
#define __Pyx_HAS_GCC_DIAGNOSTIC
#endif

/* RealImag.proto */
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    #define __Pyx_CREAL(z) ((z).real())
    #define __Pyx_CIMAG(z) ((z).imag())
  #else
    #define __Pyx_CREAL(z) (__real__(z))
    #define __Pyx_CIMAG(z) (__imag__(z))
  #endif
#else
    #define __Pyx_CREAL(z) ((z).real)
    #define __Pyx_CIMAG(z) ((z).imag)
#endif
#if defined(__cplusplus) && CYTHON_CCOMPLEX\
        && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103)
    #define __Pyx_SET_CREAL(z,x) ((z).real(x))
    #define __Pyx_SET_CIMAG(z,y) ((z).imag(y))
#else
    #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x)
    #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y)
#endif

/* Arithmetic.proto */
#if CYTHON_CCOMPLEX
    #define __Pyx_c_eq_float(a, b)   ((a)==(b))
    #define __Pyx_c_sum_float(a, b)  ((a)+(b))
    #define __Pyx_c_diff_float(a, b) ((a)-(b))
    #define __Pyx_c_prod_float(a, b) ((a)*(b))
    #define __Pyx_c_quot_float(a, b) ((a)/(b))
    #define __Pyx_c_neg_float(a)     (-(a))
  #ifdef __cplusplus
    #define __Pyx_c_is_zero_float(z) ((z)==(float)0)
    #define __Pyx_c_conj_float(z)    (::std::conj(z))
    #if 1
        #define __Pyx_c_abs_float(z)     (::std::abs(z))
        #define __Pyx_c_pow_float(a, b)  (::std::pow(a, b))
    #endif
  #else
    #define __Pyx_c_is_zero_float(z) ((z)==0)
    #define __Pyx_c_conj_float(z)    (conjf(z))
    #if 1
        #define __Pyx_c_abs_float(z)     (cabsf(z))
        #define __Pyx_c_pow_float(a, b)  (cpowf(a, b))
    #endif
 #endif
#else
    static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex);
    static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex);
    #if 1
        static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex);
        static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex);
    #endif
#endif

/* Arithmetic.proto */
#if CYTHON_CCOMPLEX
    #define __Pyx_c_eq_double(a, b)   ((a)==(b))
    #define __Pyx_c_sum_double(a, b)  ((a)+(b))
    #define __Pyx_c_diff_double(a, b) ((a)-(b))
    #define __Pyx_c_prod_double(a, b) ((a)*(b))
    #define __Pyx_c_quot_double(a, b) ((a)/(b))
    #define __Pyx_c_neg_double(a)     (-(a))
  #ifdef __cplusplus
    #define __Pyx_c_is_zero_double(z) ((z)==(double)0)
    #define __Pyx_c_conj_double(z)    (::std::conj(z))
    #if 1
        #define __Pyx_c_abs_double(z)     (::std::abs(z))
        #define __Pyx_c_pow_double(a, b)  (::std::pow(a, b))
    #endif
  #else
    #define __Pyx_c_is_zero_double(z) ((z)==0)
    #define __Pyx_c_conj_double(z)    (conj(z))
    #if 1
        #define __Pyx_c_abs_double(z)     (cabs(z))
        #define __Pyx_c_pow_double(a, b)  (cpow(a, b))
    #endif
 #endif
#else
    static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex);
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex);
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex);
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex);
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex);
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex);
    static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex);
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex);
    #if 1
        static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex);
        static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex);
    #endif
#endif

/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);

/* CIntFromPy.proto */
static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_As_PY_LONG_LONG(PyObject *);

/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);

/* CIntFromPy.proto */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);

/* CIntFromPy.proto */
static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_As_unsigned_PY_LONG_LONG(PyObject *);

/* CIntFromPy.proto */
static CYTHON_INLINE npy_uint32 __Pyx_PyInt_As_npy_uint32(PyObject *);

/* CIntFromPy.proto */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);

/* FastTypeChecks.proto */
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);
#else
#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))
#endif
#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)

/* CheckBinaryVersion.proto */
static int __Pyx_check_binary_version(void);

/* FunctionExport.proto */
static int __Pyx_ExportFunction(const char *name, void (*f)(void), const char *sig);

/* VoidPtrImport.proto */
static int __Pyx_ImportVoidPtr(PyObject *module, const char *name, void **p, const char *sig);

/* FunctionImport.proto */
static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig);

/* InitStrings.proto */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);


/* Module declarations from 'cpython.buffer' */

/* Module declarations from 'libc.string' */

/* Module declarations from 'libc.stdio' */

/* Module declarations from '__builtin__' */

/* Module declarations from 'cpython.type' */
static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;

/* Module declarations from 'cpython' */

/* Module declarations from 'cpython.object' */

/* Module declarations from 'cpython.ref' */

/* Module declarations from 'cpython.mem' */

/* Module declarations from 'numpy' */

/* Module declarations from 'numpy' */
static PyTypeObject *__pyx_ptype_5numpy_dtype = 0;
static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;
static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;
static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;
static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;

/* 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_bisect_left)(__pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG); /*proto*/
static unsigned PY_LONG_LONG (*__pyx_f_6gensim_6models_14word2vec_inner_random_int32)(unsigned PY_LONG_LONG *); /*proto*/

/* Module declarations from 'cython' */

/* Module declarations from 'gensim.models.doc2vec_inner' */
static int __pyx_v_6gensim_6models_13doc2vec_inner_ONE;
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_13doc2vec_inner_ONEF;
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*/
#define __Pyx_MODULE_NAME "gensim.models.doc2vec_inner"
extern int __pyx_module_is_main_gensim__models__doc2vec_inner;
int __pyx_module_is_main_gensim__models__doc2vec_inner = 0;

/* Implementation of 'gensim.models.doc2vec_inner' */
static PyObject *__pyx_builtin_ImportError;
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_enumerate;
static const char __pyx_k_[] = "\000";
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__5[] = "*";
static const char __pyx_k_dv[] = "dv";
static const char __pyx_k_hs[] = "hs";
static const char __pyx_k_np[] = "np";
static const char __pyx_k_wv[] = "wv";
static const char __pyx_k_get[] = "get";
static const char __pyx_k_REAL[] = "REAL";
static const char __pyx_k_code[] = "code";
static const char __pyx_k_item[] = "item";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_name[] = "__name__";
static const char __pyx_k_neu1[] = "neu1";
static const char __pyx_k_syn1[] = "syn1";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_work[] = "work";
static const char __pyx_k_alpha[] = "alpha";
static const char __pyx_k_count[] = "count";
static const char __pyx_k_dtype[] = "dtype";
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_point[] = "point";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_token[] = "token";
static const char __pyx_k_zeros[] = "zeros";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_random[] = "random";
static const char __pyx_k_result[] = "result";
static const char __pyx_k_sample[] = "sample";
static const char __pyx_k_window[] = "window";
static const char __pyx_k_float32[] = "float32";
static const char __pyx_k_randint[] = "randint";
static const char __pyx_k_syn1neg[] = "syn1neg";
static const char __pyx_k_vectors[] = "vectors";
static const char __pyx_k_workers[] = "workers";
static const char __pyx_k_expandos[] = "expandos";
static const char __pyx_k_negative[] = "negative";
static const char __pyx_k_cbow_mean[] = "cbow_mean";
static const char __pyx_k_cum_table[] = "cum_table";
static const char __pyx_k_doc_words[] = "doc_words";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_get_index[] = "get_index";
static const char __pyx_k_inv_count[] = "inv_count";
static const char __pyx_k_sample_int[] = "sample_int";
static const char __pyx_k_word_index[] = "word_index";
static const char __pyx_k_ImportError[] = "ImportError";
static const char __pyx_k_layer1_size[] = "layer1_size";
static const char __pyx_k_learn_words[] = "learn_words";
static const char __pyx_k_train_words[] = "train_words";
static const char __pyx_k_vector_size[] = "vector_size";
static const char __pyx_k_vocab_codes[] = "vocab_codes";
static const char __pyx_k_words_lockf[] = "words_lockf";
static const char __pyx_k_dm_tag_count[] = "dm_tag_count";
static const char __pyx_k_key_to_index[] = "key_to_index";
static const char __pyx_k_learn_hidden[] = "learn_hidden";
static const char __pyx_k_vocab_points[] = "vocab_points";
static const char __pyx_k_word_vectors[] = "word_vectors";
static const char __pyx_k_doctags_lockf[] = "doctags_lockf";
static const char __pyx_k_learn_doctags[] = "learn_doctags";
static const char __pyx_k_vectors_lockf[] = "vectors_lockf";
static const char __pyx_k_doctag_indexes[] = "doctag_indexes";
static const char __pyx_k_doctag_vectors[] = "doctag_vectors";
static const char __pyx_k_shrink_windows[] = "shrink_windows";
static const char __pyx_k_scipy_linalg_blas[] = "scipy.linalg.blas";
static const char __pyx_k_train_document_dm[] = "train_document_dm";
static const char __pyx_k_vocab_sample_ints[] = "vocab_sample_ints";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_train_document_dbow[] = "train_document_dbow";
static const char __pyx_k_train_document_dm_concat[] = "train_document_dm_concat";
static const char __pyx_k_gensim_models_doc2vec_inner[] = "gensim.models.doc2vec_inner";
static const char __pyx_k_gensim_models_doc2vec_inner_pyx[] = "gensim\\models\\doc2vec_inner.pyx";
static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import";
static const char __pyx_k_Optimized_cython_functions_for_t[] = "Optimized cython functions for training :class:`~gensim.models.doc2vec.Doc2Vec` model.";
static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import";
static PyObject *__pyx_kp_u_;
static PyObject *__pyx_n_s_ImportError;
static PyObject *__pyx_n_s_REAL;
static PyObject *__pyx_n_s__5;
static PyObject *__pyx_n_s_alpha;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_s_cbow_mean;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_n_u_code;
static PyObject *__pyx_n_s_count;
static PyObject *__pyx_n_s_cum_table;
static PyObject *__pyx_n_s_dm_tag_count;
static PyObject *__pyx_n_s_doc_words;
static PyObject *__pyx_n_s_doctag_indexes;
static PyObject *__pyx_n_s_doctag_vectors;
static PyObject *__pyx_n_s_doctags_lockf;
static PyObject *__pyx_n_s_dtype;
static PyObject *__pyx_n_s_dv;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_expandos;
static PyObject *__pyx_n_s_fblas;
static PyObject *__pyx_n_s_float32;
static PyObject *__pyx_n_s_gensim_models_doc2vec_inner;
static PyObject *__pyx_kp_s_gensim_models_doc2vec_inner_pyx;
static PyObject *__pyx_n_s_get;
static PyObject *__pyx_n_s_get_index;
static PyObject *__pyx_n_s_hs;
static PyObject *__pyx_n_s_i;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_inv_count;
static PyObject *__pyx_n_s_item;
static PyObject *__pyx_n_s_j;
static PyObject *__pyx_n_s_k;
static PyObject *__pyx_n_s_key_to_index;
static PyObject *__pyx_n_s_layer1_size;
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_model;
static PyObject *__pyx_n_s_n;
static PyObject *__pyx_n_s_name;
static PyObject *__pyx_n_s_negative;
static PyObject *__pyx_n_s_neu1;
static PyObject *__pyx_n_s_np;
static PyObject *__pyx_n_s_numpy;
static PyObject *__pyx_kp_u_numpy_core_multiarray_failed_to;
static PyObject *__pyx_kp_u_numpy_core_umath_failed_to_impor;
static PyObject *__pyx_n_u_point;
static PyObject *__pyx_n_s_randint;
static PyObject *__pyx_n_s_random;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_result;
static PyObject *__pyx_n_s_sample;
static PyObject *__pyx_n_u_sample_int;
static PyObject *__pyx_n_s_scipy_linalg_blas;
static PyObject *__pyx_n_s_shrink_windows;
static PyObject *__pyx_n_s_syn1;
static PyObject *__pyx_n_s_syn1neg;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_n_s_token;
static PyObject *__pyx_n_s_train_document_dbow;
static PyObject *__pyx_n_s_train_document_dm;
static PyObject *__pyx_n_s_train_document_dm_concat;
static PyObject *__pyx_n_s_train_words;
static PyObject *__pyx_n_s_vector_size;
static PyObject *__pyx_n_s_vectors;
static PyObject *__pyx_n_s_vectors_lockf;
static PyObject *__pyx_n_s_vocab_codes;
static PyObject *__pyx_n_s_vocab_points;
static PyObject *__pyx_n_s_vocab_sample_ints;
static PyObject *__pyx_n_s_window;
static PyObject *__pyx_n_s_word_index;
static PyObject *__pyx_n_s_word_vectors;
static PyObject *__pyx_n_s_words_lockf;
static PyObject *__pyx_n_s_work;
static PyObject *__pyx_n_s_workers;
static PyObject *__pyx_n_s_wv;
static PyObject *__pyx_n_s_zeros;
static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_train_document_dbow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_train_words, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_words_lockf, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctags_lockf); /* proto */
static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_2train_document_dm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_words_lockf, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctags_lockf); /* proto */
static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_4train_document_dm_concat(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_words_lockf, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctags_lockf); /* proto */
static PyObject *__pyx_int_0;
static PyObject *__pyx_int_16777216;
static PyObject *__pyx_tuple__2;
static PyObject *__pyx_tuple__3;
static PyObject *__pyx_tuple__4;
static PyObject *__pyx_tuple__6;
static PyObject *__pyx_tuple__8;
static PyObject *__pyx_tuple__10;
static PyObject *__pyx_codeobj__7;
static PyObject *__pyx_codeobj__9;
static PyObject *__pyx_codeobj__11;
/* Late includes */

/* "gensim/models/doc2vec_inner.pyx":38
 * DEF MAX_EXP = 6
 * 
 * cdef void fast_document_dbow_hs(             # <<<<<<<<<<<<<<
 *     const np.uint32_t *word_point, const np.uint8_t *word_code, const int codelen,
 *     REAL_t *context_vectors, REAL_t *syn1, const int size,
 */

static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int const __pyx_v_codelen, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_context_vectors, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_context_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int __pyx_v_learn_context, int __pyx_v_learn_hidden, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_contexts_lockf, __pyx_t_5numpy_uint32_t const __pyx_v_contexts_lockf_len) {
  PY_LONG_LONG __pyx_v_b;
  PY_LONG_LONG __pyx_v_row1;
  PY_LONG_LONG __pyx_v_row2;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  int __pyx_t_1;
  int __pyx_t_2;
  PY_LONG_LONG __pyx_t_3;
  int __pyx_t_4;
  int __pyx_t_5;

  /* "gensim/models/doc2vec_inner.pyx":45
 * 
 *     cdef long long a, b
 *     cdef long long row1 = context_index * size, row2             # <<<<<<<<<<<<<<
 *     cdef REAL_t f, g
 * 
 */
  __pyx_v_row1 = (__pyx_v_context_index * __pyx_v_size);

  /* "gensim/models/doc2vec_inner.pyx":48
 *     cdef REAL_t f, g
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 *     for b in range(codelen):
 *         row2 = word_point[b] * size
 */
  (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/doc2vec_inner.pyx":49
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 *     for b in range(codelen):             # <<<<<<<<<<<<<<
 *         row2 = word_point[b] * size
 *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
 */
  __pyx_t_1 = __pyx_v_codelen;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_b = __pyx_t_3;

    /* "gensim/models/doc2vec_inner.pyx":50
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 *     for b in range(codelen):
 *         row2 = word_point[b] * size             # <<<<<<<<<<<<<<
 *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 */
    __pyx_v_row2 = ((__pyx_v_word_point[__pyx_v_b]) * __pyx_v_size);

    /* "gensim/models/doc2vec_inner.pyx":51
 *     for b in range(codelen):
 *         row2 = word_point[b] * size
 *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue
 */
    __pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":52
 *         row2 = word_point[b] * size
 *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    __pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
    if (!__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L6_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
    __pyx_t_4 = __pyx_t_5;
    __pyx_L6_bool_binop_done:;
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":53
 *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue             # <<<<<<<<<<<<<<
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha
 */
      goto __pyx_L3_continue;

      /* "gensim/models/doc2vec_inner.pyx":52
 *         row2 = word_point[b] * size
 *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":54
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *         g = (1 - word_code[b] - f) * alpha
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 */
    __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * ((0x3E8 / 6) / 2)))]);

    /* "gensim/models/doc2vec_inner.pyx":55
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 *         if learn_hidden:
 */
    __pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);

    /* "gensim/models/doc2vec_inner.pyx":56
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *         if learn_hidden:
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":57
 *         g = (1 - word_code[b] - f) * alpha
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 *         if learn_hidden:             # <<<<<<<<<<<<<<
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
 *     if learn_context:
 */
    __pyx_t_4 = (__pyx_v_learn_hidden != 0);
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":58
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 *         if learn_hidden:
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
 *     if learn_context:
 *         our_saxpy(&size, &contexts_lockf[context_index % contexts_lockf_len],
 */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

      /* "gensim/models/doc2vec_inner.pyx":57
 *         g = (1 - word_code[b] - f) * alpha
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 *         if learn_hidden:             # <<<<<<<<<<<<<<
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
 *     if learn_context:
 */
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/doc2vec_inner.pyx":59
 *         if learn_hidden:
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
 *     if learn_context:             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &contexts_lockf[context_index % contexts_lockf_len],
 *                   work, &ONE, &context_vectors[row1], &ONE)
 */
  __pyx_t_4 = (__pyx_v_learn_context != 0);
  if (__pyx_t_4) {

    /* "gensim/models/doc2vec_inner.pyx":60
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
 *     if learn_context:
 *         our_saxpy(&size, &contexts_lockf[context_index % contexts_lockf_len],             # <<<<<<<<<<<<<<
 *                   work, &ONE, &context_vectors[row1], &ONE)
 * 
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_contexts_lockf[(__pyx_v_context_index % __pyx_v_contexts_lockf_len)])), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":59
 *         if learn_hidden:
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
 *     if learn_context:             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &contexts_lockf[context_index % contexts_lockf_len],
 *                   work, &ONE, &context_vectors[row1], &ONE)
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":38
 * DEF MAX_EXP = 6
 * 
 * cdef void fast_document_dbow_hs(             # <<<<<<<<<<<<<<
 *     const np.uint32_t *word_point, const np.uint8_t *word_code, const int codelen,
 *     REAL_t *context_vectors, REAL_t *syn1, const int size,
 */

  /* function exit code */
}

/* "gensim/models/doc2vec_inner.pyx":64
 * 
 * 
 * cdef unsigned long long fast_document_dbow_neg(             # <<<<<<<<<<<<<<
 *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *     REAL_t *context_vectors, REAL_t *syn1neg, const int size, const np.uint32_t word_index,
 */

static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_context_vectors, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_word_index, __pyx_t_5numpy_uint32_t const __pyx_v_context_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, unsigned PY_LONG_LONG __pyx_v_next_random, int __pyx_v_learn_context, int __pyx_v_learn_hidden, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_contexts_lockf, __pyx_t_5numpy_uint32_t const __pyx_v_contexts_lockf_len) {
  PY_LONG_LONG __pyx_v_row1;
  PY_LONG_LONG __pyx_v_row2;
  unsigned PY_LONG_LONG __pyx_v_modulo;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
  __pyx_t_5numpy_uint32_t __pyx_v_target_index;
  int __pyx_v_d;
  unsigned PY_LONG_LONG __pyx_r;
  long __pyx_t_1;
  long __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;
  int __pyx_t_5;

  /* "gensim/models/doc2vec_inner.pyx":72
 * 
 *     cdef long long a
 *     cdef long long row1 = context_index * size, row2             # <<<<<<<<<<<<<<
 *     cdef unsigned long long modulo = 281474976710655ULL
 *     cdef REAL_t f, g, label
 */
  __pyx_v_row1 = (__pyx_v_context_index * __pyx_v_size);

  /* "gensim/models/doc2vec_inner.pyx":73
 *     cdef long long a
 *     cdef long long row1 = context_index * size, row2
 *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
 *     cdef REAL_t f, g, label
 *     cdef np.uint32_t target_index
 */
  __pyx_v_modulo = 281474976710655ULL;

  /* "gensim/models/doc2vec_inner.pyx":78
 *     cdef int d
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 * 
 *     for d in range(negative+1):
 */
  (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/doc2vec_inner.pyx":80
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 * 
 *     for d in range(negative+1):             # <<<<<<<<<<<<<<
 *         if d == 0:
 *             target_index = word_index
 */
  __pyx_t_1 = (__pyx_v_negative + 1);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_d = __pyx_t_3;

    /* "gensim/models/doc2vec_inner.pyx":81
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *             label = ONEF
 */
    __pyx_t_4 = ((__pyx_v_d == 0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":82
 *     for d in range(negative+1):
 *         if d == 0:
 *             target_index = word_index             # <<<<<<<<<<<<<<
 *             label = ONEF
 *         else:
 */
      __pyx_v_target_index = __pyx_v_word_index;

      /* "gensim/models/doc2vec_inner.pyx":83
 *         if d == 0:
 *             target_index = word_index
 *             label = ONEF             # <<<<<<<<<<<<<<
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 */
      __pyx_v_label = __pyx_v_6gensim_6models_13doc2vec_inner_ONEF;

      /* "gensim/models/doc2vec_inner.pyx":81
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *             label = ONEF
 */
      goto __pyx_L5;
    }

    /* "gensim/models/doc2vec_inner.pyx":85
 *             label = ONEF
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)             # <<<<<<<<<<<<<<
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == word_index:
 */
    /*else*/ {
      __pyx_v_target_index = __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_v_cum_table, ((__pyx_v_next_random >> 16) % (__pyx_v_cum_table[(__pyx_v_cum_table_len - 1)])), 0, __pyx_v_cum_table_len);

      /* "gensim/models/doc2vec_inner.pyx":86
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo             # <<<<<<<<<<<<<<
 *             if target_index == word_index:
 *                 continue
 */
      __pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);

      /* "gensim/models/doc2vec_inner.pyx":87
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == word_index:             # <<<<<<<<<<<<<<
 *                 continue
 *             label = <REAL_t>0.0
 */
      __pyx_t_4 = ((__pyx_v_target_index == __pyx_v_word_index) != 0);
      if (__pyx_t_4) {

        /* "gensim/models/doc2vec_inner.pyx":88
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == word_index:
 *                 continue             # <<<<<<<<<<<<<<
 *             label = <REAL_t>0.0
 *         row2 = target_index * size
 */
        goto __pyx_L3_continue;

        /* "gensim/models/doc2vec_inner.pyx":87
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == word_index:             # <<<<<<<<<<<<<<
 *                 continue
 *             label = <REAL_t>0.0
 */
      }

      /* "gensim/models/doc2vec_inner.pyx":89
 *             if target_index == word_index:
 *                 continue
 *             label = <REAL_t>0.0             # <<<<<<<<<<<<<<
 *         row2 = target_index * size
 *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
 */
      __pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
    }
    __pyx_L5:;

    /* "gensim/models/doc2vec_inner.pyx":90
 *                 continue
 *             label = <REAL_t>0.0
 *         row2 = target_index * size             # <<<<<<<<<<<<<<
 *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 */
    __pyx_v_row2 = (__pyx_v_target_index * __pyx_v_size);

    /* "gensim/models/doc2vec_inner.pyx":91
 *             label = <REAL_t>0.0
 *         row2 = target_index * size
 *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue
 */
    __pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":92
 *         row2 = target_index * size
 *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    __pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
    if (!__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L8_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
    __pyx_t_4 = __pyx_t_5;
    __pyx_L8_bool_binop_done:;
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":93
 *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue             # <<<<<<<<<<<<<<
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha
 */
      goto __pyx_L3_continue;

      /* "gensim/models/doc2vec_inner.pyx":92
 *         row2 = target_index * size
 *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":94
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *         g = (label - f) * alpha
 *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 */
    __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * ((0x3E8 / 6) / 2)))]);

    /* "gensim/models/doc2vec_inner.pyx":95
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *         if learn_hidden:
 */
    __pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);

    /* "gensim/models/doc2vec_inner.pyx":96
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha
 *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *         if learn_hidden:
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":97
 *         g = (label - f) * alpha
 *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *         if learn_hidden:             # <<<<<<<<<<<<<<
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
 *     if learn_context:
 */
    __pyx_t_4 = (__pyx_v_learn_hidden != 0);
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":98
 *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *         if learn_hidden:
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
 *     if learn_context:
 *         our_saxpy(&size, &contexts_lockf[context_index % contexts_lockf_len],
 */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

      /* "gensim/models/doc2vec_inner.pyx":97
 *         g = (label - f) * alpha
 *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *         if learn_hidden:             # <<<<<<<<<<<<<<
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
 *     if learn_context:
 */
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/doc2vec_inner.pyx":99
 *         if learn_hidden:
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
 *     if learn_context:             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &contexts_lockf[context_index % contexts_lockf_len],
 *                   work, &ONE, &context_vectors[row1], &ONE)
 */
  __pyx_t_4 = (__pyx_v_learn_context != 0);
  if (__pyx_t_4) {

    /* "gensim/models/doc2vec_inner.pyx":100
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
 *     if learn_context:
 *         our_saxpy(&size, &contexts_lockf[context_index % contexts_lockf_len],             # <<<<<<<<<<<<<<
 *                   work, &ONE, &context_vectors[row1], &ONE)
 * 
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_contexts_lockf[(__pyx_v_context_index % __pyx_v_contexts_lockf_len)])), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":99
 *         if learn_hidden:
 *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
 *     if learn_context:             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &contexts_lockf[context_index % contexts_lockf_len],
 *                   work, &ONE, &context_vectors[row1], &ONE)
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":103
 *                   work, &ONE, &context_vectors[row1], &ONE)
 * 
 *     return next_random             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_next_random;
  goto __pyx_L0;

  /* "gensim/models/doc2vec_inner.pyx":64
 * 
 * 
 * cdef unsigned long long fast_document_dbow_neg(             # <<<<<<<<<<<<<<
 *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *     REAL_t *context_vectors, REAL_t *syn1neg, const int size, const np.uint32_t word_index,
 */

  /* function exit code */
  __pyx_L0:;
  return __pyx_r;
}

/* "gensim/models/doc2vec_inner.pyx":106
 * 
 * 
 * cdef void fast_document_dm_hs(             # <<<<<<<<<<<<<<
 *     const np.uint32_t *word_point, const np.uint8_t *word_code, int word_code_len,
 *     REAL_t *neu1, REAL_t *syn1, const REAL_t alpha, REAL_t *work,
 */

static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int __pyx_v_word_code_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int const __pyx_v_size, int __pyx_v_learn_hidden) {
  PY_LONG_LONG __pyx_v_b;
  PY_LONG_LONG __pyx_v_row2;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  int __pyx_t_1;
  int __pyx_t_2;
  PY_LONG_LONG __pyx_t_3;
  int __pyx_t_4;
  int __pyx_t_5;

  /* "gensim/models/doc2vec_inner.pyx":117
 *     # l1 already composed by caller, passed in as neu1
 *     # work (also passed in)  will accumulate l1 error
 *     for b in range(word_code_len):             # <<<<<<<<<<<<<<
 *         row2 = word_point[b] * size
 *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
 */
  __pyx_t_1 = __pyx_v_word_code_len;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_b = __pyx_t_3;

    /* "gensim/models/doc2vec_inner.pyx":118
 *     # work (also passed in)  will accumulate l1 error
 *     for b in range(word_code_len):
 *         row2 = word_point[b] * size             # <<<<<<<<<<<<<<
 *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 */
    __pyx_v_row2 = ((__pyx_v_word_point[__pyx_v_b]) * __pyx_v_size);

    /* "gensim/models/doc2vec_inner.pyx":119
 *     for b in range(word_code_len):
 *         row2 = word_point[b] * size
 *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue
 */
    __pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":120
 *         row2 = word_point[b] * size
 *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    __pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
    if (!__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L6_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
    __pyx_t_4 = __pyx_t_5;
    __pyx_L6_bool_binop_done:;
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":121
 *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue             # <<<<<<<<<<<<<<
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha
 */
      goto __pyx_L3_continue;

      /* "gensim/models/doc2vec_inner.pyx":120
 *         row2 = word_point[b] * size
 *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":122
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *         g = (1 - word_code[b] - f) * alpha
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 */
    __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * ((0x3E8 / 6) / 2)))]);

    /* "gensim/models/doc2vec_inner.pyx":123
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 *         if learn_hidden:
 */
    __pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);

    /* "gensim/models/doc2vec_inner.pyx":124
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *         if learn_hidden:
 *             our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":125
 *         g = (1 - word_code[b] - f) * alpha
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 *         if learn_hidden:             # <<<<<<<<<<<<<<
 *             our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
 * 
 */
    __pyx_t_4 = (__pyx_v_learn_hidden != 0);
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":126
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 *         if learn_hidden:
 *             our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
 * 
 * 
 */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

      /* "gensim/models/doc2vec_inner.pyx":125
 *         g = (1 - word_code[b] - f) * alpha
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 *         if learn_hidden:             # <<<<<<<<<<<<<<
 *             our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
 * 
 */
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/doc2vec_inner.pyx":106
 * 
 * 
 * cdef void fast_document_dm_hs(             # <<<<<<<<<<<<<<
 *     const np.uint32_t *word_point, const np.uint8_t *word_code, int word_code_len,
 *     REAL_t *neu1, REAL_t *syn1, const REAL_t alpha, REAL_t *work,
 */

  /* function exit code */
}

/* "gensim/models/doc2vec_inner.pyx":129
 * 
 * 
 * cdef unsigned long long fast_document_dm_neg(             # <<<<<<<<<<<<<<
 *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, unsigned long long next_random,
 *     REAL_t *neu1, REAL_t *syn1neg, const int predict_word_index, const REAL_t alpha, REAL_t *work,
 */

static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, int const __pyx_v_predict_word_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int const __pyx_v_size, int __pyx_v_learn_hidden) {
  PY_LONG_LONG __pyx_v_row2;
  unsigned PY_LONG_LONG __pyx_v_modulo;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
  __pyx_t_5numpy_uint32_t __pyx_v_target_index;
  int __pyx_v_d;
  unsigned PY_LONG_LONG __pyx_r;
  long __pyx_t_1;
  long __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;
  int __pyx_t_5;

  /* "gensim/models/doc2vec_inner.pyx":135
 * 
 *     cdef long long row2
 *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
 *     cdef REAL_t f, g, label
 *     cdef np.uint32_t target_index
 */
  __pyx_v_modulo = 281474976710655ULL;

  /* "gensim/models/doc2vec_inner.pyx":142
 *     # l1 already composed by caller, passed in as neu1
 *     # work (also passsed in) will accumulate l1 error for outside application
 *     for d in range(negative+1):             # <<<<<<<<<<<<<<
 *         if d == 0:
 *             target_index = predict_word_index
 */
  __pyx_t_1 = (__pyx_v_negative + 1);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_d = __pyx_t_3;

    /* "gensim/models/doc2vec_inner.pyx":143
 *     # work (also passsed in) will accumulate l1 error for outside application
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = predict_word_index
 *             label = ONEF
 */
    __pyx_t_4 = ((__pyx_v_d == 0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":144
 *     for d in range(negative+1):
 *         if d == 0:
 *             target_index = predict_word_index             # <<<<<<<<<<<<<<
 *             label = ONEF
 *         else:
 */
      __pyx_v_target_index = __pyx_v_predict_word_index;

      /* "gensim/models/doc2vec_inner.pyx":145
 *         if d == 0:
 *             target_index = predict_word_index
 *             label = ONEF             # <<<<<<<<<<<<<<
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 */
      __pyx_v_label = __pyx_v_6gensim_6models_13doc2vec_inner_ONEF;

      /* "gensim/models/doc2vec_inner.pyx":143
 *     # work (also passsed in) will accumulate l1 error for outside application
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = predict_word_index
 *             label = ONEF
 */
      goto __pyx_L5;
    }

    /* "gensim/models/doc2vec_inner.pyx":147
 *             label = ONEF
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)             # <<<<<<<<<<<<<<
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == predict_word_index:
 */
    /*else*/ {
      __pyx_v_target_index = __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_v_cum_table, ((__pyx_v_next_random >> 16) % (__pyx_v_cum_table[(__pyx_v_cum_table_len - 1)])), 0, __pyx_v_cum_table_len);

      /* "gensim/models/doc2vec_inner.pyx":148
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo             # <<<<<<<<<<<<<<
 *             if target_index == predict_word_index:
 *                 continue
 */
      __pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);

      /* "gensim/models/doc2vec_inner.pyx":149
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == predict_word_index:             # <<<<<<<<<<<<<<
 *                 continue
 *             label = <REAL_t>0.0
 */
      __pyx_t_4 = ((__pyx_v_target_index == __pyx_v_predict_word_index) != 0);
      if (__pyx_t_4) {

        /* "gensim/models/doc2vec_inner.pyx":150
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == predict_word_index:
 *                 continue             # <<<<<<<<<<<<<<
 *             label = <REAL_t>0.0
 * 
 */
        goto __pyx_L3_continue;

        /* "gensim/models/doc2vec_inner.pyx":149
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == predict_word_index:             # <<<<<<<<<<<<<<
 *                 continue
 *             label = <REAL_t>0.0
 */
      }

      /* "gensim/models/doc2vec_inner.pyx":151
 *             if target_index == predict_word_index:
 *                 continue
 *             label = <REAL_t>0.0             # <<<<<<<<<<<<<<
 * 
 *         row2 = target_index * size
 */
      __pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
    }
    __pyx_L5:;

    /* "gensim/models/doc2vec_inner.pyx":153
 *             label = <REAL_t>0.0
 * 
 *         row2 = target_index * size             # <<<<<<<<<<<<<<
 *         f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 */
    __pyx_v_row2 = (__pyx_v_target_index * __pyx_v_size);

    /* "gensim/models/doc2vec_inner.pyx":154
 * 
 *         row2 = target_index * size
 *         f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue
 */
    __pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":155
 *         row2 = target_index * size
 *         f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    __pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
    if (!__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L8_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
    __pyx_t_4 = __pyx_t_5;
    __pyx_L8_bool_binop_done:;
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":156
 *         f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue             # <<<<<<<<<<<<<<
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha
 */
      goto __pyx_L3_continue;

      /* "gensim/models/doc2vec_inner.pyx":155
 *         row2 = target_index * size
 *         f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":157
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *         g = (label - f) * alpha
 *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 */
    __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * ((0x3E8 / 6) / 2)))]);

    /* "gensim/models/doc2vec_inner.pyx":158
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *         if learn_hidden:
 */
    __pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);

    /* "gensim/models/doc2vec_inner.pyx":159
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha
 *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *         if learn_hidden:
 *             our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":160
 *         g = (label - f) * alpha
 *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *         if learn_hidden:             # <<<<<<<<<<<<<<
 *             our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
 * 
 */
    __pyx_t_4 = (__pyx_v_learn_hidden != 0);
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":161
 *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *         if learn_hidden:
 *             our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
 * 
 *     return next_random
 */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

      /* "gensim/models/doc2vec_inner.pyx":160
 *         g = (label - f) * alpha
 *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *         if learn_hidden:             # <<<<<<<<<<<<<<
 *             our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
 * 
 */
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/doc2vec_inner.pyx":163
 *             our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
 * 
 *     return next_random             # <<<<<<<<<<<<<<
 * 
 * cdef void fast_document_dmc_hs(
 */
  __pyx_r = __pyx_v_next_random;
  goto __pyx_L0;

  /* "gensim/models/doc2vec_inner.pyx":129
 * 
 * 
 * cdef unsigned long long fast_document_dm_neg(             # <<<<<<<<<<<<<<
 *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, unsigned long long next_random,
 *     REAL_t *neu1, REAL_t *syn1neg, const int predict_word_index, const REAL_t alpha, REAL_t *work,
 */

  /* function exit code */
  __pyx_L0:;
  return __pyx_r;
}

/* "gensim/models/doc2vec_inner.pyx":165
 *     return next_random
 * 
 * cdef void fast_document_dmc_hs(             # <<<<<<<<<<<<<<
 *     const np.uint32_t *word_point, const np.uint8_t *word_code, int word_code_len,
 *     REAL_t *neu1, REAL_t *syn1, const REAL_t alpha, REAL_t *work,
 */

static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int __pyx_v_word_code_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int const __pyx_v_layer1_size, CYTHON_UNUSED int const __pyx_v_vector_size, int __pyx_v_learn_hidden) {
  PY_LONG_LONG __pyx_v_b;
  PY_LONG_LONG __pyx_v_row2;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  int __pyx_t_1;
  int __pyx_t_2;
  PY_LONG_LONG __pyx_t_3;
  int __pyx_t_4;
  int __pyx_t_5;

  /* "gensim/models/doc2vec_inner.pyx":177
 *     # l1 already composed by caller, passed in as neu1
 *     # work accumulates net l1 error; eventually applied by caller
 *     for b in range(word_code_len):             # <<<<<<<<<<<<<<
 *         row2 = word_point[b] * layer1_size
 *         f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
 */
  __pyx_t_1 = __pyx_v_word_code_len;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_b = __pyx_t_3;

    /* "gensim/models/doc2vec_inner.pyx":178
 *     # work accumulates net l1 error; eventually applied by caller
 *     for b in range(word_code_len):
 *         row2 = word_point[b] * layer1_size             # <<<<<<<<<<<<<<
 *         f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 */
    __pyx_v_row2 = ((__pyx_v_word_point[__pyx_v_b]) * __pyx_v_layer1_size);

    /* "gensim/models/doc2vec_inner.pyx":179
 *     for b in range(word_code_len):
 *         row2 = word_point[b] * layer1_size
 *         f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue
 */
    __pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_layer1_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":180
 *         row2 = word_point[b] * layer1_size
 *         f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    __pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
    if (!__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L6_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
    __pyx_t_4 = __pyx_t_5;
    __pyx_L6_bool_binop_done:;
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":181
 *         f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue             # <<<<<<<<<<<<<<
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha
 */
      goto __pyx_L3_continue;

      /* "gensim/models/doc2vec_inner.pyx":180
 *         row2 = word_point[b] * layer1_size
 *         f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":182
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *         g = (1 - word_code[b] - f) * alpha
 *         our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
 */
    __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * ((0x3E8 / 6) / 2)))]);

    /* "gensim/models/doc2vec_inner.pyx":183
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha             # <<<<<<<<<<<<<<
 *         our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
 *         if learn_hidden:
 */
    __pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);

    /* "gensim/models/doc2vec_inner.pyx":184
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha
 *         our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *         if learn_hidden:
 *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1[row2], &ONE)
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_layer1_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":185
 *         g = (1 - word_code[b] - f) * alpha
 *         our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
 *         if learn_hidden:             # <<<<<<<<<<<<<<
 *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1[row2], &ONE)
 * 
 */
    __pyx_t_4 = (__pyx_v_learn_hidden != 0);
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":186
 *         our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
 *         if learn_hidden:
 *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
 * 
 * 
 */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_layer1_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

      /* "gensim/models/doc2vec_inner.pyx":185
 *         g = (1 - word_code[b] - f) * alpha
 *         our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
 *         if learn_hidden:             # <<<<<<<<<<<<<<
 *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1[row2], &ONE)
 * 
 */
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/doc2vec_inner.pyx":165
 *     return next_random
 * 
 * cdef void fast_document_dmc_hs(             # <<<<<<<<<<<<<<
 *     const np.uint32_t *word_point, const np.uint8_t *word_code, int word_code_len,
 *     REAL_t *neu1, REAL_t *syn1, const REAL_t alpha, REAL_t *work,
 */

  /* function exit code */
}

/* "gensim/models/doc2vec_inner.pyx":189
 * 
 * 
 * cdef unsigned long long fast_document_dmc_neg(             # <<<<<<<<<<<<<<
 *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, unsigned long long next_random,
 *     REAL_t *neu1, REAL_t *syn1neg, const int predict_word_index, const REAL_t alpha, REAL_t *work,
 */

static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, int const __pyx_v_predict_word_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int const __pyx_v_layer1_size, CYTHON_UNUSED int const __pyx_v_vector_size, int __pyx_v_learn_hidden) {
  PY_LONG_LONG __pyx_v_row2;
  unsigned PY_LONG_LONG __pyx_v_modulo;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
  __pyx_t_5numpy_uint32_t __pyx_v_target_index;
  int __pyx_v_d;
  unsigned PY_LONG_LONG __pyx_r;
  long __pyx_t_1;
  long __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;
  int __pyx_t_5;

  /* "gensim/models/doc2vec_inner.pyx":196
 *     cdef long long a
 *     cdef long long row2
 *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
 *     cdef REAL_t f, g, label
 *     cdef np.uint32_t target_index
 */
  __pyx_v_modulo = 281474976710655ULL;

  /* "gensim/models/doc2vec_inner.pyx":203
 *     # l1 already composed by caller, passed in as neu1
 *     # work accumulates net l1 error; eventually applied by caller
 *     for d in range(negative+1):             # <<<<<<<<<<<<<<
 *         if d == 0:
 *             target_index = predict_word_index
 */
  __pyx_t_1 = (__pyx_v_negative + 1);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_d = __pyx_t_3;

    /* "gensim/models/doc2vec_inner.pyx":204
 *     # work accumulates net l1 error; eventually applied by caller
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = predict_word_index
 *             label = ONEF
 */
    __pyx_t_4 = ((__pyx_v_d == 0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":205
 *     for d in range(negative+1):
 *         if d == 0:
 *             target_index = predict_word_index             # <<<<<<<<<<<<<<
 *             label = ONEF
 *         else:
 */
      __pyx_v_target_index = __pyx_v_predict_word_index;

      /* "gensim/models/doc2vec_inner.pyx":206
 *         if d == 0:
 *             target_index = predict_word_index
 *             label = ONEF             # <<<<<<<<<<<<<<
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 */
      __pyx_v_label = __pyx_v_6gensim_6models_13doc2vec_inner_ONEF;

      /* "gensim/models/doc2vec_inner.pyx":204
 *     # work accumulates net l1 error; eventually applied by caller
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = predict_word_index
 *             label = ONEF
 */
      goto __pyx_L5;
    }

    /* "gensim/models/doc2vec_inner.pyx":208
 *             label = ONEF
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)             # <<<<<<<<<<<<<<
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == predict_word_index:
 */
    /*else*/ {
      __pyx_v_target_index = __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_v_cum_table, ((__pyx_v_next_random >> 16) % (__pyx_v_cum_table[(__pyx_v_cum_table_len - 1)])), 0, __pyx_v_cum_table_len);

      /* "gensim/models/doc2vec_inner.pyx":209
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo             # <<<<<<<<<<<<<<
 *             if target_index == predict_word_index:
 *                 continue
 */
      __pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);

      /* "gensim/models/doc2vec_inner.pyx":210
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == predict_word_index:             # <<<<<<<<<<<<<<
 *                 continue
 *             label = <REAL_t>0.0
 */
      __pyx_t_4 = ((__pyx_v_target_index == __pyx_v_predict_word_index) != 0);
      if (__pyx_t_4) {

        /* "gensim/models/doc2vec_inner.pyx":211
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == predict_word_index:
 *                 continue             # <<<<<<<<<<<<<<
 *             label = <REAL_t>0.0
 * 
 */
        goto __pyx_L3_continue;

        /* "gensim/models/doc2vec_inner.pyx":210
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == predict_word_index:             # <<<<<<<<<<<<<<
 *                 continue
 *             label = <REAL_t>0.0
 */
      }

      /* "gensim/models/doc2vec_inner.pyx":212
 *             if target_index == predict_word_index:
 *                 continue
 *             label = <REAL_t>0.0             # <<<<<<<<<<<<<<
 * 
 *         row2 = target_index * layer1_size
 */
      __pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
    }
    __pyx_L5:;

    /* "gensim/models/doc2vec_inner.pyx":214
 *             label = <REAL_t>0.0
 * 
 *         row2 = target_index * layer1_size             # <<<<<<<<<<<<<<
 *         f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 */
    __pyx_v_row2 = (__pyx_v_target_index * __pyx_v_layer1_size);

    /* "gensim/models/doc2vec_inner.pyx":215
 * 
 *         row2 = target_index * layer1_size
 *         f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue
 */
    __pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_layer1_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":216
 *         row2 = target_index * layer1_size
 *         f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    __pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
    if (!__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L8_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
    __pyx_t_4 = __pyx_t_5;
    __pyx_L8_bool_binop_done:;
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":217
 *         f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue             # <<<<<<<<<<<<<<
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha
 */
      goto __pyx_L3_continue;

      /* "gensim/models/doc2vec_inner.pyx":216
 *         row2 = target_index * layer1_size
 *         f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":218
 *         if f <= -MAX_EXP or f >= MAX_EXP:
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *         g = (label - f) * alpha
 *         our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
 */
    __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * ((0x3E8 / 6) / 2)))]);

    /* "gensim/models/doc2vec_inner.pyx":219
 *             continue
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha             # <<<<<<<<<<<<<<
 *         our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *         if learn_hidden:
 */
    __pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);

    /* "gensim/models/doc2vec_inner.pyx":220
 *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha
 *         our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *         if learn_hidden:
 *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_layer1_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

    /* "gensim/models/doc2vec_inner.pyx":221
 *         g = (label - f) * alpha
 *         our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *         if learn_hidden:             # <<<<<<<<<<<<<<
 *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
 * 
 */
    __pyx_t_4 = (__pyx_v_learn_hidden != 0);
    if (__pyx_t_4) {

      /* "gensim/models/doc2vec_inner.pyx":222
 *         our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *         if learn_hidden:
 *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
 * 
 *     return next_random
 */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_layer1_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

      /* "gensim/models/doc2vec_inner.pyx":221
 *         g = (label - f) * alpha
 *         our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *         if learn_hidden:             # <<<<<<<<<<<<<<
 *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
 * 
 */
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/doc2vec_inner.pyx":224
 *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
 * 
 *     return next_random             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_next_random;
  goto __pyx_L0;

  /* "gensim/models/doc2vec_inner.pyx":189
 * 
 * 
 * cdef unsigned long long fast_document_dmc_neg(             # <<<<<<<<<<<<<<
 *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, unsigned long long next_random,
 *     REAL_t *neu1, REAL_t *syn1neg, const int predict_word_index, const REAL_t alpha, REAL_t *work,
 */

  /* function exit code */
  __pyx_L0:;
  return __pyx_r;
}

/* "gensim/models/doc2vec_inner.pyx":227
 * 
 * 
 * cdef init_d2v_config(Doc2VecConfig *c, model, alpha, learn_doctags, learn_words, learn_hidden,             # <<<<<<<<<<<<<<
 *                      train_words=False, work=None, neu1=None, word_vectors=None, words_lockf=None,
 *                      doctag_vectors=None, doctags_lockf=None, docvecs_count=0):
 */

static PyObject *__pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config(struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig *__pyx_v_c, PyObject *__pyx_v_model, PyObject *__pyx_v_alpha, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config *__pyx_optional_args) {

  /* "gensim/models/doc2vec_inner.pyx":228
 * 
 * cdef init_d2v_config(Doc2VecConfig *c, model, alpha, learn_doctags, learn_words, learn_hidden,
 *                      train_words=False, work=None, neu1=None, word_vectors=None, words_lockf=None,             # <<<<<<<<<<<<<<
 *                      doctag_vectors=None, doctags_lockf=None, docvecs_count=0):
 *     c[0].hs = model.hs
 */
  PyObject *__pyx_v_train_words = ((PyObject *)Py_False);
  PyObject *__pyx_v_work = ((PyObject *)Py_None);
  PyObject *__pyx_v_neu1 = ((PyObject *)Py_None);
  PyObject *__pyx_v_word_vectors = ((PyObject *)Py_None);
  PyObject *__pyx_v_words_lockf = ((PyObject *)Py_None);

  /* "gensim/models/doc2vec_inner.pyx":229
 * cdef init_d2v_config(Doc2VecConfig *c, model, alpha, learn_doctags, learn_words, learn_hidden,
 *                      train_words=False, work=None, neu1=None, word_vectors=None, words_lockf=None,
 *                      doctag_vectors=None, doctags_lockf=None, docvecs_count=0):             # <<<<<<<<<<<<<<
 *     c[0].hs = model.hs
 *     c[0].negative = model.negative
 */
  PyObject *__pyx_v_doctag_vectors = ((PyObject *)Py_None);
  PyObject *__pyx_v_doctags_lockf = ((PyObject *)Py_None);
  PyObject *__pyx_v_docvecs_count = ((PyObject *)__pyx_int_0);
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_t_2;
  PyObject *__pyx_t_3 = NULL;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_t_4;
  int __pyx_t_5;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  Py_ssize_t __pyx_t_8;
  unsigned PY_LONG_LONG __pyx_t_9;
  PyObject *__pyx_t_10 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("init_d2v_config", 0);
  if (__pyx_optional_args) {
    if (__pyx_optional_args->__pyx_n > 0) {
      __pyx_v_train_words = __pyx_optional_args->train_words;
      if (__pyx_optional_args->__pyx_n > 1) {
        __pyx_v_work = __pyx_optional_args->work;
        if (__pyx_optional_args->__pyx_n > 2) {
          __pyx_v_neu1 = __pyx_optional_args->neu1;
          if (__pyx_optional_args->__pyx_n > 3) {
            __pyx_v_word_vectors = __pyx_optional_args->word_vectors;
            if (__pyx_optional_args->__pyx_n > 4) {
              __pyx_v_words_lockf = __pyx_optional_args->words_lockf;
              if (__pyx_optional_args->__pyx_n > 5) {
                __pyx_v_doctag_vectors = __pyx_optional_args->doctag_vectors;
                if (__pyx_optional_args->__pyx_n > 6) {
                  __pyx_v_doctags_lockf = __pyx_optional_args->doctags_lockf;
                  if (__pyx_optional_args->__pyx_n > 7) {
                    __pyx_v_docvecs_count = __pyx_optional_args->docvecs_count;
                  }
                }
              }
            }
          }
        }
      }
    }
  }
  __Pyx_INCREF(__pyx_v_work);
  __Pyx_INCREF(__pyx_v_neu1);
  __Pyx_INCREF(__pyx_v_word_vectors);
  __Pyx_INCREF(__pyx_v_words_lockf);
  __Pyx_INCREF(__pyx_v_doctag_vectors);
  __Pyx_INCREF(__pyx_v_doctags_lockf);

  /* "gensim/models/doc2vec_inner.pyx":230
 *                      train_words=False, work=None, neu1=None, word_vectors=None, words_lockf=None,
 *                      doctag_vectors=None, doctags_lockf=None, docvecs_count=0):
 *     c[0].hs = model.hs             # <<<<<<<<<<<<<<
 *     c[0].negative = model.negative
 *     c[0].sample = (model.sample != 0)
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_hs); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 230, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 230, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  (__pyx_v_c[0]).hs = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":231
 *                      doctag_vectors=None, doctags_lockf=None, docvecs_count=0):
 *     c[0].hs = model.hs
 *     c[0].negative = model.negative             # <<<<<<<<<<<<<<
 *     c[0].sample = (model.sample != 0)
 *     c[0].cbow_mean = model.cbow_mean
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_negative); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 231, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 231, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  (__pyx_v_c[0]).negative = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":232
 *     c[0].hs = model.hs
 *     c[0].negative = model.negative
 *     c[0].sample = (model.sample != 0)             # <<<<<<<<<<<<<<
 *     c[0].cbow_mean = model.cbow_mean
 *     c[0].train_words = train_words
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_sample); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 232, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_3 = __Pyx_PyInt_NeObjC(__pyx_t_1, __pyx_int_0, 0, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 232, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 232, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  (__pyx_v_c[0]).sample = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":233
 *     c[0].negative = model.negative
 *     c[0].sample = (model.sample != 0)
 *     c[0].cbow_mean = model.cbow_mean             # <<<<<<<<<<<<<<
 *     c[0].train_words = train_words
 *     c[0].learn_doctags = learn_doctags
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_cbow_mean); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 233, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 233, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  (__pyx_v_c[0]).cbow_mean = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":234
 *     c[0].sample = (model.sample != 0)
 *     c[0].cbow_mean = model.cbow_mean
 *     c[0].train_words = train_words             # <<<<<<<<<<<<<<
 *     c[0].learn_doctags = learn_doctags
 *     c[0].learn_words = learn_words
 */
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_v_train_words); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 234, __pyx_L1_error)
  (__pyx_v_c[0]).train_words = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":235
 *     c[0].cbow_mean = model.cbow_mean
 *     c[0].train_words = train_words
 *     c[0].learn_doctags = learn_doctags             # <<<<<<<<<<<<<<
 *     c[0].learn_words = learn_words
 *     c[0].learn_hidden = learn_hidden
 */
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_v_learn_doctags); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 235, __pyx_L1_error)
  (__pyx_v_c[0]).learn_doctags = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":236
 *     c[0].train_words = train_words
 *     c[0].learn_doctags = learn_doctags
 *     c[0].learn_words = learn_words             # <<<<<<<<<<<<<<
 *     c[0].learn_hidden = learn_hidden
 *     c[0].alpha = alpha
 */
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_v_learn_words); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 236, __pyx_L1_error)
  (__pyx_v_c[0]).learn_words = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":237
 *     c[0].learn_doctags = learn_doctags
 *     c[0].learn_words = learn_words
 *     c[0].learn_hidden = learn_hidden             # <<<<<<<<<<<<<<
 *     c[0].alpha = alpha
 *     c[0].layer1_size = model.layer1_size
 */
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_v_learn_hidden); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 237, __pyx_L1_error)
  (__pyx_v_c[0]).learn_hidden = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":238
 *     c[0].learn_words = learn_words
 *     c[0].learn_hidden = learn_hidden
 *     c[0].alpha = alpha             # <<<<<<<<<<<<<<
 *     c[0].layer1_size = model.layer1_size
 *     c[0].vector_size = model.dv.vector_size
 */
  __pyx_t_4 = __pyx_PyFloat_AsFloat(__pyx_v_alpha); if (unlikely((__pyx_t_4 == ((npy_float32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 238, __pyx_L1_error)
  (__pyx_v_c[0]).alpha = __pyx_t_4;

  /* "gensim/models/doc2vec_inner.pyx":239
 *     c[0].learn_hidden = learn_hidden
 *     c[0].alpha = alpha
 *     c[0].layer1_size = model.layer1_size             # <<<<<<<<<<<<<<
 *     c[0].vector_size = model.dv.vector_size
 *     c[0].workers = model.workers
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_layer1_size); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 239, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 239, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  (__pyx_v_c[0]).layer1_size = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":240
 *     c[0].alpha = alpha
 *     c[0].layer1_size = model.layer1_size
 *     c[0].vector_size = model.dv.vector_size             # <<<<<<<<<<<<<<
 *     c[0].workers = model.workers
 *     c[0].docvecs_count = docvecs_count
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_dv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 240, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_vector_size); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 240, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 240, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  (__pyx_v_c[0]).vector_size = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":241
 *     c[0].layer1_size = model.layer1_size
 *     c[0].vector_size = model.dv.vector_size
 *     c[0].workers = model.workers             # <<<<<<<<<<<<<<
 *     c[0].docvecs_count = docvecs_count
 * 
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_workers); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 241, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 241, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  (__pyx_v_c[0]).workers = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":242
 *     c[0].vector_size = model.dv.vector_size
 *     c[0].workers = model.workers
 *     c[0].docvecs_count = docvecs_count             # <<<<<<<<<<<<<<
 * 
 *     c[0].window = model.window
 */
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_v_docvecs_count); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 242, __pyx_L1_error)
  (__pyx_v_c[0]).docvecs_count = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":244
 *     c[0].docvecs_count = docvecs_count
 * 
 *     c[0].window = model.window             # <<<<<<<<<<<<<<
 *     c[0].expected_doctag_len = model.dm_tag_count
 * 
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_window); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 244, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 244, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  (__pyx_v_c[0]).window = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":245
 * 
 *     c[0].window = model.window
 *     c[0].expected_doctag_len = model.dm_tag_count             # <<<<<<<<<<<<<<
 * 
 *     if '\0' in model.wv:
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_dm_tag_count); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 245, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 245, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  (__pyx_v_c[0]).expected_doctag_len = __pyx_t_2;

  /* "gensim/models/doc2vec_inner.pyx":247
 *     c[0].expected_doctag_len = model.dm_tag_count
 * 
 *     if '\0' in model.wv:             # <<<<<<<<<<<<<<
 *         c[0].null_word_index = model.wv.get_index('\0')
 * 
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 247, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_5 = (__Pyx_PySequence_ContainsTF(__pyx_kp_u_, __pyx_t_1, Py_EQ)); if (unlikely(__pyx_t_5 < 0)) __PYX_ERR(0, 247, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_6 = (__pyx_t_5 != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":248
 * 
 *     if '\0' in model.wv:
 *         c[0].null_word_index = model.wv.get_index('\0')             # <<<<<<<<<<<<<<
 * 
 *     # default vectors, locks from syn0/doctag_syn0
 */
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 248, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_get_index); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 248, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __pyx_t_3 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) {
      __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_7);
      if (likely(__pyx_t_3)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
        __Pyx_INCREF(__pyx_t_3);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_7, function);
      }
    }
    __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_7, __pyx_t_3, __pyx_kp_u_) : __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_kp_u_);
    __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
    if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 248, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 248, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    (__pyx_v_c[0]).null_word_index = __pyx_t_2;

    /* "gensim/models/doc2vec_inner.pyx":247
 *     c[0].expected_doctag_len = model.dm_tag_count
 * 
 *     if '\0' in model.wv:             # <<<<<<<<<<<<<<
 *         c[0].null_word_index = model.wv.get_index('\0')
 * 
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":251
 * 
 *     # default vectors, locks from syn0/doctag_syn0
 *     if word_vectors is None:             # <<<<<<<<<<<<<<
 *        word_vectors = model.wv.vectors
 *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
 */
  __pyx_t_6 = (__pyx_v_word_vectors == Py_None);
  __pyx_t_5 = (__pyx_t_6 != 0);
  if (__pyx_t_5) {

    /* "gensim/models/doc2vec_inner.pyx":252
 *     # default vectors, locks from syn0/doctag_syn0
 *     if word_vectors is None:
 *        word_vectors = model.wv.vectors             # <<<<<<<<<<<<<<
 *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
 *     if doctag_vectors is None:
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 252, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_vectors); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 252, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF_SET(__pyx_v_word_vectors, __pyx_t_7);
    __pyx_t_7 = 0;

    /* "gensim/models/doc2vec_inner.pyx":251
 * 
 *     # default vectors, locks from syn0/doctag_syn0
 *     if word_vectors is None:             # <<<<<<<<<<<<<<
 *        word_vectors = model.wv.vectors
 *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":253
 *     if word_vectors is None:
 *        word_vectors = model.wv.vectors
 *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))             # <<<<<<<<<<<<<<
 *     if doctag_vectors is None:
 *        doctag_vectors = model.dv.vectors
 */
  if (!(likely(((__pyx_v_word_vectors) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_word_vectors, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 253, __pyx_L1_error)
  (__pyx_v_c[0]).word_vectors = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_word_vectors)));

  /* "gensim/models/doc2vec_inner.pyx":254
 *        word_vectors = model.wv.vectors
 *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
 *     if doctag_vectors is None:             # <<<<<<<<<<<<<<
 *        doctag_vectors = model.dv.vectors
 *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
 */
  __pyx_t_5 = (__pyx_v_doctag_vectors == Py_None);
  __pyx_t_6 = (__pyx_t_5 != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":255
 *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
 *     if doctag_vectors is None:
 *        doctag_vectors = model.dv.vectors             # <<<<<<<<<<<<<<
 *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
 *     if words_lockf is None:
 */
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_dv); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 255, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_vectors); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 255, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_DECREF_SET(__pyx_v_doctag_vectors, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":254
 *        word_vectors = model.wv.vectors
 *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
 *     if doctag_vectors is None:             # <<<<<<<<<<<<<<
 *        doctag_vectors = model.dv.vectors
 *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":256
 *     if doctag_vectors is None:
 *        doctag_vectors = model.dv.vectors
 *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))             # <<<<<<<<<<<<<<
 *     if words_lockf is None:
 *        words_lockf = model.wv.vectors_lockf
 */
  if (!(likely(((__pyx_v_doctag_vectors) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_doctag_vectors, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 256, __pyx_L1_error)
  (__pyx_v_c[0]).doctag_vectors = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_doctag_vectors)));

  /* "gensim/models/doc2vec_inner.pyx":257
 *        doctag_vectors = model.dv.vectors
 *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
 *     if words_lockf is None:             # <<<<<<<<<<<<<<
 *        words_lockf = model.wv.vectors_lockf
 *     c[0].words_lockf = <REAL_t *>(np.PyArray_DATA(words_lockf))
 */
  __pyx_t_6 = (__pyx_v_words_lockf == Py_None);
  __pyx_t_5 = (__pyx_t_6 != 0);
  if (__pyx_t_5) {

    /* "gensim/models/doc2vec_inner.pyx":258
 *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
 *     if words_lockf is None:
 *        words_lockf = model.wv.vectors_lockf             # <<<<<<<<<<<<<<
 *     c[0].words_lockf = <REAL_t *>(np.PyArray_DATA(words_lockf))
 *     c[0].words_lockf_len = len(words_lockf)
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 258, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_vectors_lockf); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 258, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF_SET(__pyx_v_words_lockf, __pyx_t_7);
    __pyx_t_7 = 0;

    /* "gensim/models/doc2vec_inner.pyx":257
 *        doctag_vectors = model.dv.vectors
 *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
 *     if words_lockf is None:             # <<<<<<<<<<<<<<
 *        words_lockf = model.wv.vectors_lockf
 *     c[0].words_lockf = <REAL_t *>(np.PyArray_DATA(words_lockf))
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":259
 *     if words_lockf is None:
 *        words_lockf = model.wv.vectors_lockf
 *     c[0].words_lockf = <REAL_t *>(np.PyArray_DATA(words_lockf))             # <<<<<<<<<<<<<<
 *     c[0].words_lockf_len = len(words_lockf)
 *     if doctags_lockf is None:
 */
  if (!(likely(((__pyx_v_words_lockf) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_words_lockf, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 259, __pyx_L1_error)
  (__pyx_v_c[0]).words_lockf = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_words_lockf)));

  /* "gensim/models/doc2vec_inner.pyx":260
 *        words_lockf = model.wv.vectors_lockf
 *     c[0].words_lockf = <REAL_t *>(np.PyArray_DATA(words_lockf))
 *     c[0].words_lockf_len = len(words_lockf)             # <<<<<<<<<<<<<<
 *     if doctags_lockf is None:
 *        doctags_lockf = model.dv.vectors_lockf
 */
  __pyx_t_8 = PyObject_Length(__pyx_v_words_lockf); if (unlikely(__pyx_t_8 == ((Py_ssize_t)-1))) __PYX_ERR(0, 260, __pyx_L1_error)
  (__pyx_v_c[0]).words_lockf_len = __pyx_t_8;

  /* "gensim/models/doc2vec_inner.pyx":261
 *     c[0].words_lockf = <REAL_t *>(np.PyArray_DATA(words_lockf))
 *     c[0].words_lockf_len = len(words_lockf)
 *     if doctags_lockf is None:             # <<<<<<<<<<<<<<
 *        doctags_lockf = model.dv.vectors_lockf
 *     c[0].doctags_lockf = <REAL_t *>(np.PyArray_DATA(doctags_lockf))
 */
  __pyx_t_5 = (__pyx_v_doctags_lockf == Py_None);
  __pyx_t_6 = (__pyx_t_5 != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":262
 *     c[0].words_lockf_len = len(words_lockf)
 *     if doctags_lockf is None:
 *        doctags_lockf = model.dv.vectors_lockf             # <<<<<<<<<<<<<<
 *     c[0].doctags_lockf = <REAL_t *>(np.PyArray_DATA(doctags_lockf))
 *     c[0].doctags_lockf_len = len(doctags_lockf)
 */
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_dv); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 262, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_vectors_lockf); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 262, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_DECREF_SET(__pyx_v_doctags_lockf, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":261
 *     c[0].words_lockf = <REAL_t *>(np.PyArray_DATA(words_lockf))
 *     c[0].words_lockf_len = len(words_lockf)
 *     if doctags_lockf is None:             # <<<<<<<<<<<<<<
 *        doctags_lockf = model.dv.vectors_lockf
 *     c[0].doctags_lockf = <REAL_t *>(np.PyArray_DATA(doctags_lockf))
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":263
 *     if doctags_lockf is None:
 *        doctags_lockf = model.dv.vectors_lockf
 *     c[0].doctags_lockf = <REAL_t *>(np.PyArray_DATA(doctags_lockf))             # <<<<<<<<<<<<<<
 *     c[0].doctags_lockf_len = len(doctags_lockf)
 * 
 */
  if (!(likely(((__pyx_v_doctags_lockf) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_doctags_lockf, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 263, __pyx_L1_error)
  (__pyx_v_c[0]).doctags_lockf = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_doctags_lockf)));

  /* "gensim/models/doc2vec_inner.pyx":264
 *        doctags_lockf = model.dv.vectors_lockf
 *     c[0].doctags_lockf = <REAL_t *>(np.PyArray_DATA(doctags_lockf))
 *     c[0].doctags_lockf_len = len(doctags_lockf)             # <<<<<<<<<<<<<<
 * 
 *     if c[0].hs:
 */
  __pyx_t_8 = PyObject_Length(__pyx_v_doctags_lockf); if (unlikely(__pyx_t_8 == ((Py_ssize_t)-1))) __PYX_ERR(0, 264, __pyx_L1_error)
  (__pyx_v_c[0]).doctags_lockf_len = __pyx_t_8;

  /* "gensim/models/doc2vec_inner.pyx":266
 *     c[0].doctags_lockf_len = len(doctags_lockf)
 * 
 *     if c[0].hs:             # <<<<<<<<<<<<<<
 *         c[0].syn1 = <REAL_t *>(np.PyArray_DATA(model.syn1))
 * 
 */
  __pyx_t_6 = ((__pyx_v_c[0]).hs != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":267
 * 
 *     if c[0].hs:
 *         c[0].syn1 = <REAL_t *>(np.PyArray_DATA(model.syn1))             # <<<<<<<<<<<<<<
 * 
 *     if c[0].negative:
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_syn1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 267, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 267, __pyx_L1_error)
    (__pyx_v_c[0]).syn1 = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_1)));
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":266
 *     c[0].doctags_lockf_len = len(doctags_lockf)
 * 
 *     if c[0].hs:             # <<<<<<<<<<<<<<
 *         c[0].syn1 = <REAL_t *>(np.PyArray_DATA(model.syn1))
 * 
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":269
 *         c[0].syn1 = <REAL_t *>(np.PyArray_DATA(model.syn1))
 * 
 *     if c[0].negative:             # <<<<<<<<<<<<<<
 *         c[0].syn1neg = <REAL_t *>(np.PyArray_DATA(model.syn1neg))
 *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.cum_table))
 */
  __pyx_t_6 = ((__pyx_v_c[0]).negative != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":270
 * 
 *     if c[0].negative:
 *         c[0].syn1neg = <REAL_t *>(np.PyArray_DATA(model.syn1neg))             # <<<<<<<<<<<<<<
 *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.cum_table))
 *         c[0].cum_table_len = len(model.cum_table)
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_syn1neg); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 270, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 270, __pyx_L1_error)
    (__pyx_v_c[0]).syn1neg = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_1)));
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":271
 *     if c[0].negative:
 *         c[0].syn1neg = <REAL_t *>(np.PyArray_DATA(model.syn1neg))
 *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.cum_table))             # <<<<<<<<<<<<<<
 *         c[0].cum_table_len = len(model.cum_table)
 *     if c[0].negative or c[0].sample:
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_cum_table); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 271, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 271, __pyx_L1_error)
    (__pyx_v_c[0]).cum_table = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_1)));
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":272
 *         c[0].syn1neg = <REAL_t *>(np.PyArray_DATA(model.syn1neg))
 *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.cum_table))
 *         c[0].cum_table_len = len(model.cum_table)             # <<<<<<<<<<<<<<
 *     if c[0].negative or c[0].sample:
 *         c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_cum_table); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 272, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_8 = PyObject_Length(__pyx_t_1); if (unlikely(__pyx_t_8 == ((Py_ssize_t)-1))) __PYX_ERR(0, 272, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    (__pyx_v_c[0]).cum_table_len = __pyx_t_8;

    /* "gensim/models/doc2vec_inner.pyx":269
 *         c[0].syn1 = <REAL_t *>(np.PyArray_DATA(model.syn1))
 * 
 *     if c[0].negative:             # <<<<<<<<<<<<<<
 *         c[0].syn1neg = <REAL_t *>(np.PyArray_DATA(model.syn1neg))
 *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.cum_table))
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":273
 *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.cum_table))
 *         c[0].cum_table_len = len(model.cum_table)
 *     if c[0].negative or c[0].sample:             # <<<<<<<<<<<<<<
 *         c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)
 * 
 */
  __pyx_t_5 = ((__pyx_v_c[0]).negative != 0);
  if (!__pyx_t_5) {
  } else {
    __pyx_t_6 = __pyx_t_5;
    goto __pyx_L11_bool_binop_done;
  }
  __pyx_t_5 = ((__pyx_v_c[0]).sample != 0);
  __pyx_t_6 = __pyx_t_5;
  __pyx_L11_bool_binop_done:;
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":274
 *         c[0].cum_table_len = len(model.cum_table)
 *     if c[0].negative or c[0].sample:
 *         c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)             # <<<<<<<<<<<<<<
 * 
 *     # convert Python structures to primitive types, so we can release the GIL
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_random); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 274, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_randint); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 274, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_tuple__2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 274, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_t_7 = PyNumber_Multiply(__pyx_int_16777216, __pyx_t_1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 274, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_random); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 274, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_randint); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 274, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_tuple__2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 274, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __pyx_t_3 = PyNumber_Add(__pyx_t_7, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 274, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_9 = __Pyx_PyInt_As_unsigned_PY_LONG_LONG(__pyx_t_3); if (unlikely((__pyx_t_9 == (unsigned PY_LONG_LONG)-1) && PyErr_Occurred())) __PYX_ERR(0, 274, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    (__pyx_v_c[0]).next_random = __pyx_t_9;

    /* "gensim/models/doc2vec_inner.pyx":273
 *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.cum_table))
 *         c[0].cum_table_len = len(model.cum_table)
 *     if c[0].negative or c[0].sample:             # <<<<<<<<<<<<<<
 *         c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)
 * 
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":277
 * 
 *     # convert Python structures to primitive types, so we can release the GIL
 *     if work is None:             # <<<<<<<<<<<<<<
 *        work = zeros(model.layer1_size, dtype=REAL)
 *     c[0].work = <REAL_t *>np.PyArray_DATA(work)
 */
  __pyx_t_6 = (__pyx_v_work == Py_None);
  __pyx_t_5 = (__pyx_t_6 != 0);
  if (__pyx_t_5) {

    /* "gensim/models/doc2vec_inner.pyx":278
 *     # convert Python structures to primitive types, so we can release the GIL
 *     if work is None:
 *        work = zeros(model.layer1_size, dtype=REAL)             # <<<<<<<<<<<<<<
 *     c[0].work = <REAL_t *>np.PyArray_DATA(work)
 *     if neu1 is None:
 */
    __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_zeros); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 278, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_layer1_size); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 278, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = PyTuple_New(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 278, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_GIVEREF(__pyx_t_1);
    PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1);
    __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 278, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_REAL); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 278, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_10);
    if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_10) < 0) __PYX_ERR(0, 278, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
    __pyx_t_10 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_7, __pyx_t_1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 278, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_10);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF_SET(__pyx_v_work, __pyx_t_10);
    __pyx_t_10 = 0;

    /* "gensim/models/doc2vec_inner.pyx":277
 * 
 *     # convert Python structures to primitive types, so we can release the GIL
 *     if work is None:             # <<<<<<<<<<<<<<
 *        work = zeros(model.layer1_size, dtype=REAL)
 *     c[0].work = <REAL_t *>np.PyArray_DATA(work)
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":279
 *     if work is None:
 *        work = zeros(model.layer1_size, dtype=REAL)
 *     c[0].work = <REAL_t *>np.PyArray_DATA(work)             # <<<<<<<<<<<<<<
 *     if neu1 is None:
 *        neu1 = zeros(model.layer1_size, dtype=REAL)
 */
  if (!(likely(((__pyx_v_work) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_work, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 279, __pyx_L1_error)
  (__pyx_v_c[0]).work = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_work)));

  /* "gensim/models/doc2vec_inner.pyx":280
 *        work = zeros(model.layer1_size, dtype=REAL)
 *     c[0].work = <REAL_t *>np.PyArray_DATA(work)
 *     if neu1 is None:             # <<<<<<<<<<<<<<
 *        neu1 = zeros(model.layer1_size, dtype=REAL)
 *     c[0].neu1 = <REAL_t *>np.PyArray_DATA(neu1)
 */
  __pyx_t_5 = (__pyx_v_neu1 == Py_None);
  __pyx_t_6 = (__pyx_t_5 != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":281
 *     c[0].work = <REAL_t *>np.PyArray_DATA(work)
 *     if neu1 is None:
 *        neu1 = zeros(model.layer1_size, dtype=REAL)             # <<<<<<<<<<<<<<
 *     c[0].neu1 = <REAL_t *>np.PyArray_DATA(neu1)
 * 
 */
    __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_zeros); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 281, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_10);
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_layer1_size); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 281, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = PyTuple_New(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 281, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_GIVEREF(__pyx_t_1);
    PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1);
    __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 281, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_REAL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 281, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_3) < 0) __PYX_ERR(0, 281, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_10, __pyx_t_7, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 281, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF_SET(__pyx_v_neu1, __pyx_t_3);
    __pyx_t_3 = 0;

    /* "gensim/models/doc2vec_inner.pyx":280
 *        work = zeros(model.layer1_size, dtype=REAL)
 *     c[0].work = <REAL_t *>np.PyArray_DATA(work)
 *     if neu1 is None:             # <<<<<<<<<<<<<<
 *        neu1 = zeros(model.layer1_size, dtype=REAL)
 *     c[0].neu1 = <REAL_t *>np.PyArray_DATA(neu1)
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":282
 *     if neu1 is None:
 *        neu1 = zeros(model.layer1_size, dtype=REAL)
 *     c[0].neu1 = <REAL_t *>np.PyArray_DATA(neu1)             # <<<<<<<<<<<<<<
 * 
 * 
 */
  if (!(likely(((__pyx_v_neu1) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_neu1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 282, __pyx_L1_error)
  (__pyx_v_c[0]).neu1 = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_neu1)));

  /* "gensim/models/doc2vec_inner.pyx":227
 * 
 * 
 * cdef init_d2v_config(Doc2VecConfig *c, model, alpha, learn_doctags, learn_words, learn_hidden,             # <<<<<<<<<<<<<<
 *                      train_words=False, work=None, neu1=None, word_vectors=None, words_lockf=None,
 *                      doctag_vectors=None, doctags_lockf=None, docvecs_count=0):
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_10);
  __Pyx_AddTraceback("gensim.models.doc2vec_inner.init_d2v_config", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = 0;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_work);
  __Pyx_XDECREF(__pyx_v_neu1);
  __Pyx_XDECREF(__pyx_v_word_vectors);
  __Pyx_XDECREF(__pyx_v_words_lockf);
  __Pyx_XDECREF(__pyx_v_doctag_vectors);
  __Pyx_XDECREF(__pyx_v_doctags_lockf);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gensim/models/doc2vec_inner.pyx":286
 * 
 * 
 * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,             # <<<<<<<<<<<<<<
 *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
 *                         word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_1train_document_dbow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gensim_6models_13doc2vec_inner_train_document_dbow[] = "train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None, train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True, word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None)\nUpdate distributed bag of words model (\"PV-DBOW\") by training on a single document.\n\n    Called internally from :meth:`~gensim.models.doc2vec.Doc2Vec.train` and\n    :meth:`~gensim.models.doc2vec.Doc2Vec.infer_vector`.\n\n    Parameters\n    ----------\n    model : :class:`~gensim.models.doc2vec.Doc2Vec`\n        The model to train.\n    doc_words : list of str\n        The input document as a list of words to be used for training. Each word will be looked up in\n        the model's vocabulary.\n    doctag_indexes : list of int\n        Indices into `doctag_vectors` used to obtain the tags of the document.\n    alpha : float\n        Learning rate.\n    work : list of float, optional\n        Updates to be performed on each neuron in the hidden layer of the underlying network.\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.ndarr""ay, 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_13doc2vec_inner_1train_document_dbow = {"train_document_dbow", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gensim_6models_13doc2vec_inner_1train_document_dbow, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_13doc2vec_inner_train_document_dbow};
static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_1train_document_dbow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_model = 0;
  PyObject *__pyx_v_doc_words = 0;
  PyObject *__pyx_v_doctag_indexes = 0;
  PyObject *__pyx_v_alpha = 0;
  PyObject *__pyx_v_work = 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_word_vectors = 0;
  PyObject *__pyx_v_words_lockf = 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("train_document_dbow (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_model,&__pyx_n_s_doc_words,&__pyx_n_s_doctag_indexes,&__pyx_n_s_alpha,&__pyx_n_s_work,&__pyx_n_s_train_words,&__pyx_n_s_learn_doctags,&__pyx_n_s_learn_words,&__pyx_n_s_learn_hidden,&__pyx_n_s_word_vectors,&__pyx_n_s_words_lockf,&__pyx_n_s_doctag_vectors,&__pyx_n_s_doctags_lockf,0};
    PyObject* values[13] = {0,0,0,0,0,0,0,0,0,0,0,0,0};
    values[4] = ((PyObject *)Py_None);

    /* "gensim/models/doc2vec_inner.pyx":287
 * 
 * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,
 *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,             # <<<<<<<<<<<<<<
 *                         word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 *     """Update distributed bag of words model ("PV-DBOW") by training on a single document.
 */
    values[5] = ((PyObject *)Py_False);
    values[6] = ((PyObject *)Py_True);
    values[7] = ((PyObject *)Py_True);
    values[8] = ((PyObject *)Py_True);

    /* "gensim/models/doc2vec_inner.pyx":288
 * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,
 *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
 *                         word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):             # <<<<<<<<<<<<<<
 *     """Update distributed bag of words model ("PV-DBOW") by training on a single document.
 * 
 */
    values[9] = ((PyObject *)Py_None);
    values[10] = ((PyObject *)Py_None);
    values[11] = ((PyObject *)Py_None);
    values[12] = ((PyObject *)Py_None);
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
        CYTHON_FALLTHROUGH;
        case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
        CYTHON_FALLTHROUGH;
        case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
        CYTHON_FALLTHROUGH;
        case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
        CYTHON_FALLTHROUGH;
        case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
        CYTHON_FALLTHROUGH;
        case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
        CYTHON_FALLTHROUGH;
        case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
        CYTHON_FALLTHROUGH;
        case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
        CYTHON_FALLTHROUGH;
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_model)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doc_words)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("train_document_dbow", 0, 4, 13, 1); __PYX_ERR(0, 286, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_indexes)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("train_document_dbow", 0, 4, 13, 2); __PYX_ERR(0, 286, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_alpha)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("train_document_dbow", 0, 4, 13, 3); __PYX_ERR(0, 286, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  4:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_work);
          if (value) { values[4] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  5:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_train_words);
          if (value) { values[5] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  6:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_doctags);
          if (value) { values[6] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  7:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_words);
          if (value) { values[7] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  8:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_hidden);
          if (value) { values[8] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  9:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_word_vectors);
          if (value) { values[9] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 10:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_words_lockf);
          if (value) { values[10] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 11:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_vectors);
          if (value) { values[11] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 12:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctags_lockf);
          if (value) { values[12] = value; kw_args--; }
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "train_document_dbow") < 0)) __PYX_ERR(0, 286, __pyx_L3_error)
      }
    } else {
      switch (PyTuple_GET_SIZE(__pyx_args)) {
        case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
        CYTHON_FALLTHROUGH;
        case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
        CYTHON_FALLTHROUGH;
        case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
        CYTHON_FALLTHROUGH;
        case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
        CYTHON_FALLTHROUGH;
        case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
        CYTHON_FALLTHROUGH;
        case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
        CYTHON_FALLTHROUGH;
        case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
        CYTHON_FALLTHROUGH;
        case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
        CYTHON_FALLTHROUGH;
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        break;
        default: goto __pyx_L5_argtuple_error;
      }
    }
    __pyx_v_model = values[0];
    __pyx_v_doc_words = values[1];
    __pyx_v_doctag_indexes = values[2];
    __pyx_v_alpha = values[3];
    __pyx_v_work = values[4];
    __pyx_v_train_words = values[5];
    __pyx_v_learn_doctags = values[6];
    __pyx_v_learn_words = values[7];
    __pyx_v_learn_hidden = values[8];
    __pyx_v_word_vectors = values[9];
    __pyx_v_words_lockf = values[10];
    __pyx_v_doctag_vectors = values[11];
    __pyx_v_doctags_lockf = values[12];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("train_document_dbow", 0, 4, 13, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 286, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dbow", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gensim_6models_13doc2vec_inner_train_document_dbow(__pyx_self, __pyx_v_model, __pyx_v_doc_words, __pyx_v_doctag_indexes, __pyx_v_alpha, __pyx_v_work, __pyx_v_train_words, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, __pyx_v_word_vectors, __pyx_v_words_lockf, __pyx_v_doctag_vectors, __pyx_v_doctags_lockf);

  /* "gensim/models/doc2vec_inner.pyx":286
 * 
 * 
 * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,             # <<<<<<<<<<<<<<
 *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
 *                         word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_train_document_dbow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_train_words, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_words_lockf, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctags_lockf) {
  struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig __pyx_v_c;
  int __pyx_v_i;
  int __pyx_v_j;
  long __pyx_v_result;
  __pyx_t_5numpy_uint32_t *__pyx_v_vocab_sample_ints;
  PyObject *__pyx_v_vocab_codes = NULL;
  PyObject *__pyx_v_vocab_points = NULL;
  PyObject *__pyx_v_token = NULL;
  PyObject *__pyx_v_word_index = NULL;
  PyObject *__pyx_v_item = NULL;
  long __pyx_v_k;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config __pyx_t_2;
  Py_ssize_t __pyx_t_3;
  long __pyx_t_4;
  Py_ssize_t __pyx_t_5;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  PyObject *(*__pyx_t_8)(PyObject *);
  PyObject *__pyx_t_9 = NULL;
  PyObject *__pyx_t_10 = NULL;
  int __pyx_t_11;
  PyObject *__pyx_t_12 = NULL;
  int __pyx_t_13;
  __pyx_t_5numpy_uint32_t __pyx_t_14;
  int __pyx_t_15;
  PyObject *__pyx_t_16 = NULL;
  int __pyx_t_17;
  int __pyx_t_18;
  long __pyx_t_19;
  int __pyx_t_20;
  int __pyx_t_21;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("train_document_dbow", 0);

  /* "gensim/models/doc2vec_inner.pyx":336
 * 
 *     cdef int i, j
 *     cdef long result = 0             # <<<<<<<<<<<<<<
 *     cdef np.uint32_t *vocab_sample_ints
 * 
 */
  __pyx_v_result = 0;

  /* "gensim/models/doc2vec_inner.pyx":339
 *     cdef np.uint32_t *vocab_sample_ints
 * 
 *     init_d2v_config(&c, model, alpha, learn_doctags, learn_words, learn_hidden, train_words=train_words, work=work,             # <<<<<<<<<<<<<<
 *                     neu1=None, word_vectors=word_vectors, words_lockf=words_lockf,
 *                     doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf)
 */
  __pyx_t_2.__pyx_n = 7;
  __pyx_t_2.train_words = __pyx_v_train_words;
  __pyx_t_2.work = __pyx_v_work;
  __pyx_t_2.neu1 = Py_None;
  __pyx_t_2.word_vectors = __pyx_v_word_vectors;
  __pyx_t_2.words_lockf = __pyx_v_words_lockf;
  __pyx_t_2.doctag_vectors = __pyx_v_doctag_vectors;
  __pyx_t_2.doctags_lockf = __pyx_v_doctags_lockf;
  __pyx_t_1 = __pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config((&__pyx_v_c), __pyx_v_model, __pyx_v_alpha, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, &__pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 339, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gensim/models/doc2vec_inner.pyx":342
 *                     neu1=None, word_vectors=word_vectors, words_lockf=words_lockf,
 *                     doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf)
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))             # <<<<<<<<<<<<<<
 *     if c.sample:
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 */
  __pyx_t_3 = PyObject_Length(__pyx_v_doctag_indexes); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 342, __pyx_L1_error)
  __pyx_t_4 = 0x2710;
  if (((__pyx_t_3 < __pyx_t_4) != 0)) {
    __pyx_t_5 = __pyx_t_3;
  } else {
    __pyx_t_5 = __pyx_t_4;
  }
  __pyx_v_c.doctag_len = ((int)__pyx_t_5);

  /* "gensim/models/doc2vec_inner.pyx":343
 *                     doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf)
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
 *     if c.sample:             # <<<<<<<<<<<<<<
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 *     if c.hs:
 */
  __pyx_t_6 = (__pyx_v_c.sample != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":344
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
 *     if c.sample:
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])             # <<<<<<<<<<<<<<
 *     if c.hs:
 *         vocab_codes = model.wv.expandos['code']
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 344, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 344, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_7, __pyx_n_u_sample_int); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 344, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 344, __pyx_L1_error)
    __pyx_v_vocab_sample_ints = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_1)));
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":343
 *                     doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf)
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
 *     if c.sample:             # <<<<<<<<<<<<<<
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 *     if c.hs:
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":345
 *     if c.sample:
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 *     if c.hs:             # <<<<<<<<<<<<<<
 *         vocab_codes = model.wv.expandos['code']
 *         vocab_points = model.wv.expandos['point']
 */
  __pyx_t_6 = (__pyx_v_c.hs != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":346
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 *     if c.hs:
 *         vocab_codes = model.wv.expandos['code']             # <<<<<<<<<<<<<<
 *         vocab_points = model.wv.expandos['point']
 * 
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 346, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 346, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_7, __pyx_n_u_code); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 346, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_v_vocab_codes = __pyx_t_1;
    __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":347
 *     if c.hs:
 *         vocab_codes = model.wv.expandos['code']
 *         vocab_points = model.wv.expandos['point']             # <<<<<<<<<<<<<<
 * 
 *     i = 0
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 347, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 347, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_7, __pyx_n_u_point); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 347, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_v_vocab_points = __pyx_t_1;
    __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":345
 *     if c.sample:
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 *     if c.hs:             # <<<<<<<<<<<<<<
 *         vocab_codes = model.wv.expandos['code']
 *         vocab_points = model.wv.expandos['point']
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":349
 *         vocab_points = model.wv.expandos['point']
 * 
 *     i = 0             # <<<<<<<<<<<<<<
 *     for token in doc_words:
 *         word_index = model.wv.key_to_index.get(token, None)
 */
  __pyx_v_i = 0;

  /* "gensim/models/doc2vec_inner.pyx":350
 * 
 *     i = 0
 *     for token in doc_words:             # <<<<<<<<<<<<<<
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word
 */
  if (likely(PyList_CheckExact(__pyx_v_doc_words)) || PyTuple_CheckExact(__pyx_v_doc_words)) {
    __pyx_t_1 = __pyx_v_doc_words; __Pyx_INCREF(__pyx_t_1); __pyx_t_5 = 0;
    __pyx_t_8 = NULL;
  } else {
    __pyx_t_5 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_v_doc_words); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 350, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_8 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 350, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_8)) {
      if (likely(PyList_CheckExact(__pyx_t_1))) {
        if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_7 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 350, __pyx_L1_error)
        #else
        __pyx_t_7 = PySequence_ITEM(__pyx_t_1, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 350, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_7);
        #endif
      } else {
        if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_7 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 350, __pyx_L1_error)
        #else
        __pyx_t_7 = PySequence_ITEM(__pyx_t_1, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 350, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_7);
        #endif
      }
    } else {
      __pyx_t_7 = __pyx_t_8(__pyx_t_1);
      if (unlikely(!__pyx_t_7)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 350, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_7);
    }
    __Pyx_XDECREF_SET(__pyx_v_token, __pyx_t_7);
    __pyx_t_7 = 0;

    /* "gensim/models/doc2vec_inner.pyx":351
 *     i = 0
 *     for token in doc_words:
 *         word_index = model.wv.key_to_index.get(token, None)             # <<<<<<<<<<<<<<
 *         if word_index is None:  # shrink document to leave out word
 *             continue  # leaving i unchanged
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 351, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_key_to_index); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 351, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_10);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_get); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 351, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
    __pyx_t_10 = NULL;
    __pyx_t_11 = 0;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
      __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_9);
      if (likely(__pyx_t_10)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
        __Pyx_INCREF(__pyx_t_10);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_9, function);
        __pyx_t_11 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_9)) {
      PyObject *__pyx_temp[3] = {__pyx_t_10, __pyx_v_token, Py_None};
      __pyx_t_7 = __Pyx_PyFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_11, 2+__pyx_t_11); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 351, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_GOTREF(__pyx_t_7);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_9)) {
      PyObject *__pyx_temp[3] = {__pyx_t_10, __pyx_v_token, Py_None};
      __pyx_t_7 = __Pyx_PyCFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_11, 2+__pyx_t_11); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 351, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_GOTREF(__pyx_t_7);
    } else
    #endif
    {
      __pyx_t_12 = PyTuple_New(2+__pyx_t_11); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 351, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      if (__pyx_t_10) {
        __Pyx_GIVEREF(__pyx_t_10); PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_10); __pyx_t_10 = NULL;
      }
      __Pyx_INCREF(__pyx_v_token);
      __Pyx_GIVEREF(__pyx_v_token);
      PyTuple_SET_ITEM(__pyx_t_12, 0+__pyx_t_11, __pyx_v_token);
      __Pyx_INCREF(Py_None);
      __Pyx_GIVEREF(Py_None);
      PyTuple_SET_ITEM(__pyx_t_12, 1+__pyx_t_11, Py_None);
      __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_9, __pyx_t_12, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 351, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    }
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __Pyx_XDECREF_SET(__pyx_v_word_index, __pyx_t_7);
    __pyx_t_7 = 0;

    /* "gensim/models/doc2vec_inner.pyx":352
 *     for token in doc_words:
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word             # <<<<<<<<<<<<<<
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 */
    __pyx_t_6 = (__pyx_v_word_index == Py_None);
    __pyx_t_13 = (__pyx_t_6 != 0);
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":353
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word
 *             continue  # leaving i unchanged             # <<<<<<<<<<<<<<
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 *             continue
 */
      goto __pyx_L5_continue;

      /* "gensim/models/doc2vec_inner.pyx":352
 *     for token in doc_words:
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word             # <<<<<<<<<<<<<<
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":354
 *         if word_index is None:  # shrink document to leave out word
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):             # <<<<<<<<<<<<<<
 *             continue
 *         c.indexes[i] = word_index
 */
    __pyx_t_6 = (__pyx_v_c.sample != 0);
    if (__pyx_t_6) {
    } else {
      __pyx_t_13 = __pyx_t_6;
      goto __pyx_L9_bool_binop_done;
    }
    __pyx_t_3 = __Pyx_PyIndex_AsSsize_t(__pyx_v_word_index); if (unlikely((__pyx_t_3 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 354, __pyx_L1_error)
    __pyx_t_6 = (((__pyx_v_vocab_sample_ints[__pyx_t_3]) < __pyx_f_6gensim_6models_14word2vec_inner_random_int32((&__pyx_v_c.next_random))) != 0);
    __pyx_t_13 = __pyx_t_6;
    __pyx_L9_bool_binop_done:;
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":355
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 *             continue             # <<<<<<<<<<<<<<
 *         c.indexes[i] = word_index
 *         if c.hs:
 */
      goto __pyx_L5_continue;

      /* "gensim/models/doc2vec_inner.pyx":354
 *         if word_index is None:  # shrink document to leave out word
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):             # <<<<<<<<<<<<<<
 *             continue
 *         c.indexes[i] = word_index
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":356
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 *             continue
 *         c.indexes[i] = word_index             # <<<<<<<<<<<<<<
 *         if c.hs:
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 */
    __pyx_t_14 = __Pyx_PyInt_As_npy_uint32(__pyx_v_word_index); if (unlikely((__pyx_t_14 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 356, __pyx_L1_error)
    (__pyx_v_c.indexes[__pyx_v_i]) = __pyx_t_14;

    /* "gensim/models/doc2vec_inner.pyx":357
 *             continue
 *         c.indexes[i] = word_index
 *         if c.hs:             # <<<<<<<<<<<<<<
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 */
    __pyx_t_13 = (__pyx_v_c.hs != 0);
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":358
 *         c.indexes[i] = word_index
 *         if c.hs:
 *             c.codelens[i] = <int>len(vocab_codes[word_index])             # <<<<<<<<<<<<<<
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])
 */
      if (unlikely(!__pyx_v_vocab_codes)) { __Pyx_RaiseUnboundLocalError("vocab_codes"); __PYX_ERR(0, 358, __pyx_L1_error) }
      __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_vocab_codes, __pyx_v_word_index); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 358, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_3 = PyObject_Length(__pyx_t_7); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 358, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      (__pyx_v_c.codelens[__pyx_v_i]) = ((int)__pyx_t_3);

      /* "gensim/models/doc2vec_inner.pyx":359
 *         if c.hs:
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])             # <<<<<<<<<<<<<<
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])
 *         result += 1
 */
      if (unlikely(!__pyx_v_vocab_codes)) { __Pyx_RaiseUnboundLocalError("vocab_codes"); __PYX_ERR(0, 359, __pyx_L1_error) }
      __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_vocab_codes, __pyx_v_word_index); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 359, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      if (!(likely(((__pyx_t_7) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_7, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 359, __pyx_L1_error)
      (__pyx_v_c.codes[__pyx_v_i]) = ((__pyx_t_5numpy_uint8_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_7)));
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

      /* "gensim/models/doc2vec_inner.pyx":360
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])             # <<<<<<<<<<<<<<
 *         result += 1
 *         i += 1
 */
      if (unlikely(!__pyx_v_vocab_points)) { __Pyx_RaiseUnboundLocalError("vocab_points"); __PYX_ERR(0, 360, __pyx_L1_error) }
      __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_vocab_points, __pyx_v_word_index); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 360, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      if (!(likely(((__pyx_t_7) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_7, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 360, __pyx_L1_error)
      (__pyx_v_c.points[__pyx_v_i]) = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_7)));
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

      /* "gensim/models/doc2vec_inner.pyx":357
 *             continue
 *         c.indexes[i] = word_index
 *         if c.hs:             # <<<<<<<<<<<<<<
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":361
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])
 *         result += 1             # <<<<<<<<<<<<<<
 *         i += 1
 *         if i == MAX_DOCUMENT_LEN:
 */
    __pyx_v_result = (__pyx_v_result + 1);

    /* "gensim/models/doc2vec_inner.pyx":362
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])
 *         result += 1
 *         i += 1             # <<<<<<<<<<<<<<
 *         if i == MAX_DOCUMENT_LEN:
 *             break  # TODO: log warning, tally overflow?
 */
    __pyx_v_i = (__pyx_v_i + 1);

    /* "gensim/models/doc2vec_inner.pyx":363
 *         result += 1
 *         i += 1
 *         if i == MAX_DOCUMENT_LEN:             # <<<<<<<<<<<<<<
 *             break  # TODO: log warning, tally overflow?
 *     c.document_len = i
 */
    __pyx_t_13 = ((__pyx_v_i == 0x2710) != 0);
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":364
 *         i += 1
 *         if i == MAX_DOCUMENT_LEN:
 *             break  # TODO: log warning, tally overflow?             # <<<<<<<<<<<<<<
 *     c.document_len = i
 * 
 */
      goto __pyx_L6_break;

      /* "gensim/models/doc2vec_inner.pyx":363
 *         result += 1
 *         i += 1
 *         if i == MAX_DOCUMENT_LEN:             # <<<<<<<<<<<<<<
 *             break  # TODO: log warning, tally overflow?
 *     c.document_len = i
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":350
 * 
 *     i = 0
 *     for token in doc_words:             # <<<<<<<<<<<<<<
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word
 */
    __pyx_L5_continue:;
  }
  __pyx_L6_break:;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gensim/models/doc2vec_inner.pyx":365
 *         if i == MAX_DOCUMENT_LEN:
 *             break  # TODO: log warning, tally overflow?
 *     c.document_len = i             # <<<<<<<<<<<<<<
 * 
 *     if c.train_words:
 */
  __pyx_v_c.document_len = __pyx_v_i;

  /* "gensim/models/doc2vec_inner.pyx":367
 *     c.document_len = i
 * 
 *     if c.train_words:             # <<<<<<<<<<<<<<
 *         # single randint() call avoids a big thread-synchronization slowdown
 *         if model.shrink_windows:
 */
  __pyx_t_13 = (__pyx_v_c.train_words != 0);
  if (__pyx_t_13) {

    /* "gensim/models/doc2vec_inner.pyx":369
 *     if c.train_words:
 *         # single randint() call avoids a big thread-synchronization slowdown
 *         if model.shrink_windows:             # <<<<<<<<<<<<<<
 *             for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):
 *                 c.reduced_windows[i] = item
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_shrink_windows); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 369, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_13 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_13 < 0)) __PYX_ERR(0, 369, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":370
 *         # single randint() call avoids a big thread-synchronization slowdown
 *         if model.shrink_windows:
 *             for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):             # <<<<<<<<<<<<<<
 *                 c.reduced_windows[i] = item
 *         else:
 */
      __pyx_t_11 = 0;
      __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_random); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 370, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_randint); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 370, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __pyx_t_7 = __Pyx_PyInt_From_int(__pyx_v_c.window); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 370, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_12 = __Pyx_PyInt_From_int(__pyx_v_c.document_len); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 370, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      __pyx_t_10 = NULL;
      __pyx_t_15 = 0;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
        __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_9);
        if (likely(__pyx_t_10)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
          __Pyx_INCREF(__pyx_t_10);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_9, function);
          __pyx_t_15 = 1;
        }
      }
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_9)) {
        PyObject *__pyx_temp[4] = {__pyx_t_10, __pyx_int_0, __pyx_t_7, __pyx_t_12};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_15, 3+__pyx_t_15); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 370, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_9)) {
        PyObject *__pyx_temp[4] = {__pyx_t_10, __pyx_int_0, __pyx_t_7, __pyx_t_12};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_15, 3+__pyx_t_15); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 370, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
      } else
      #endif
      {
        __pyx_t_16 = PyTuple_New(3+__pyx_t_15); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 370, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_16);
        if (__pyx_t_10) {
          __Pyx_GIVEREF(__pyx_t_10); PyTuple_SET_ITEM(__pyx_t_16, 0, __pyx_t_10); __pyx_t_10 = NULL;
        }
        __Pyx_INCREF(__pyx_int_0);
        __Pyx_GIVEREF(__pyx_int_0);
        PyTuple_SET_ITEM(__pyx_t_16, 0+__pyx_t_15, __pyx_int_0);
        __Pyx_GIVEREF(__pyx_t_7);
        PyTuple_SET_ITEM(__pyx_t_16, 1+__pyx_t_15, __pyx_t_7);
        __Pyx_GIVEREF(__pyx_t_12);
        PyTuple_SET_ITEM(__pyx_t_16, 2+__pyx_t_15, __pyx_t_12);
        __pyx_t_7 = 0;
        __pyx_t_12 = 0;
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_9, __pyx_t_16, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 370, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;
      }
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      if (likely(PyList_CheckExact(__pyx_t_1)) || PyTuple_CheckExact(__pyx_t_1)) {
        __pyx_t_9 = __pyx_t_1; __Pyx_INCREF(__pyx_t_9); __pyx_t_5 = 0;
        __pyx_t_8 = NULL;
      } else {
        __pyx_t_5 = -1; __pyx_t_9 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 370, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_9);
        __pyx_t_8 = Py_TYPE(__pyx_t_9)->tp_iternext; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 370, __pyx_L1_error)
      }
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      for (;;) {
        if (likely(!__pyx_t_8)) {
          if (likely(PyList_CheckExact(__pyx_t_9))) {
            if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_9)) break;
            #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
            __pyx_t_1 = PyList_GET_ITEM(__pyx_t_9, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 370, __pyx_L1_error)
            #else
            __pyx_t_1 = PySequence_ITEM(__pyx_t_9, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 370, __pyx_L1_error)
            __Pyx_GOTREF(__pyx_t_1);
            #endif
          } else {
            if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_9)) break;
            #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
            __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_9, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 370, __pyx_L1_error)
            #else
            __pyx_t_1 = PySequence_ITEM(__pyx_t_9, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 370, __pyx_L1_error)
            __Pyx_GOTREF(__pyx_t_1);
            #endif
          }
        } else {
          __pyx_t_1 = __pyx_t_8(__pyx_t_9);
          if (unlikely(!__pyx_t_1)) {
            PyObject* exc_type = PyErr_Occurred();
            if (exc_type) {
              if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
              else __PYX_ERR(0, 370, __pyx_L1_error)
            }
            break;
          }
          __Pyx_GOTREF(__pyx_t_1);
        }
        __Pyx_XDECREF_SET(__pyx_v_item, __pyx_t_1);
        __pyx_t_1 = 0;
        __pyx_v_i = __pyx_t_11;
        __pyx_t_11 = (__pyx_t_11 + 1);

        /* "gensim/models/doc2vec_inner.pyx":371
 *         if model.shrink_windows:
 *             for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):
 *                 c.reduced_windows[i] = item             # <<<<<<<<<<<<<<
 *         else:
 *             for i in range(c.document_len):
 */
        __pyx_t_14 = __Pyx_PyInt_As_npy_uint32(__pyx_v_item); if (unlikely((__pyx_t_14 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 371, __pyx_L1_error)
        (__pyx_v_c.reduced_windows[__pyx_v_i]) = __pyx_t_14;

        /* "gensim/models/doc2vec_inner.pyx":370
 *         # single randint() call avoids a big thread-synchronization slowdown
 *         if model.shrink_windows:
 *             for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):             # <<<<<<<<<<<<<<
 *                 c.reduced_windows[i] = item
 *         else:
 */
      }
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

      /* "gensim/models/doc2vec_inner.pyx":369
 *     if c.train_words:
 *         # single randint() call avoids a big thread-synchronization slowdown
 *         if model.shrink_windows:             # <<<<<<<<<<<<<<
 *             for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):
 *                 c.reduced_windows[i] = item
 */
      goto __pyx_L14;
    }

    /* "gensim/models/doc2vec_inner.pyx":373
 *                 c.reduced_windows[i] = item
 *         else:
 *             for i in range(c.document_len):             # <<<<<<<<<<<<<<
 *                 c.reduced_windows[i] = 0
 * 
 */
    /*else*/ {
      __pyx_t_11 = __pyx_v_c.document_len;
      __pyx_t_15 = __pyx_t_11;
      for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
        __pyx_v_i = __pyx_t_17;

        /* "gensim/models/doc2vec_inner.pyx":374
 *         else:
 *             for i in range(c.document_len):
 *                 c.reduced_windows[i] = 0             # <<<<<<<<<<<<<<
 * 
 *     for i in range(c.doctag_len):
 */
        (__pyx_v_c.reduced_windows[__pyx_v_i]) = 0;
      }
    }
    __pyx_L14:;

    /* "gensim/models/doc2vec_inner.pyx":367
 *     c.document_len = i
 * 
 *     if c.train_words:             # <<<<<<<<<<<<<<
 *         # single randint() call avoids a big thread-synchronization slowdown
 *         if model.shrink_windows:
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":376
 *                 c.reduced_windows[i] = 0
 * 
 *     for i in range(c.doctag_len):             # <<<<<<<<<<<<<<
 *         c.doctag_indexes[i] = doctag_indexes[i]
 *         result += 1
 */
  __pyx_t_11 = __pyx_v_c.doctag_len;
  __pyx_t_15 = __pyx_t_11;
  for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
    __pyx_v_i = __pyx_t_17;

    /* "gensim/models/doc2vec_inner.pyx":377
 * 
 *     for i in range(c.doctag_len):
 *         c.doctag_indexes[i] = doctag_indexes[i]             # <<<<<<<<<<<<<<
 *         result += 1
 * 
 */
    __pyx_t_9 = __Pyx_GetItemInt(__pyx_v_doctag_indexes, __pyx_v_i, int, 1, __Pyx_PyInt_From_int, 0, 0, 0); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 377, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_14 = __Pyx_PyInt_As_npy_uint32(__pyx_t_9); if (unlikely((__pyx_t_14 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 377, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    (__pyx_v_c.doctag_indexes[__pyx_v_i]) = __pyx_t_14;

    /* "gensim/models/doc2vec_inner.pyx":378
 *     for i in range(c.doctag_len):
 *         c.doctag_indexes[i] = doctag_indexes[i]
 *         result += 1             # <<<<<<<<<<<<<<
 * 
 *     # release GIL & train on the document
 */
    __pyx_v_result = (__pyx_v_result + 1);
  }

  /* "gensim/models/doc2vec_inner.pyx":381
 * 
 *     # release GIL & train on the document
 *     with nogil:             # <<<<<<<<<<<<<<
 *         for i in range(c.document_len):
 *             if c.train_words:  # simultaneous skip-gram wordvec-training
 */
  {
      #ifdef WITH_THREAD
      PyThreadState *_save;
      Py_UNBLOCK_THREADS
      __Pyx_FastGIL_Remember();
      #endif
      /*try:*/ {

        /* "gensim/models/doc2vec_inner.pyx":382
 *     # release GIL & train on the document
 *     with nogil:
 *         for i in range(c.document_len):             # <<<<<<<<<<<<<<
 *             if c.train_words:  # simultaneous skip-gram wordvec-training
 *                 j = i - c.window + c.reduced_windows[i]
 */
        __pyx_t_11 = __pyx_v_c.document_len;
        __pyx_t_15 = __pyx_t_11;
        for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
          __pyx_v_i = __pyx_t_17;

          /* "gensim/models/doc2vec_inner.pyx":383
 *     with nogil:
 *         for i in range(c.document_len):
 *             if c.train_words:  # simultaneous skip-gram wordvec-training             # <<<<<<<<<<<<<<
 *                 j = i - c.window + c.reduced_windows[i]
 *                 if j < 0:
 */
          __pyx_t_13 = (__pyx_v_c.train_words != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":384
 *         for i in range(c.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_inner.pyx":385
 *             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_13 = ((__pyx_v_j < 0) != 0);
            if (__pyx_t_13) {

              /* "gensim/models/doc2vec_inner.pyx":386
 *                 j = i - c.window + c.reduced_windows[i]
 *                 if j < 0:
 *                     j = 0             # <<<<<<<<<<<<<<
 *                 k = i + c.window + 1 - c.reduced_windows[i]
 *                 if k > c.document_len:
 */
              __pyx_v_j = 0;

              /* "gensim/models/doc2vec_inner.pyx":385
 *             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_inner.pyx":387
 *                 if j < 0:
 *                     j = 0
 *                 k = i + c.window + 1 - c.reduced_windows[i]             # <<<<<<<<<<<<<<
 *                 if k > c.document_len:
 *                     k = c.document_len
 */
            __pyx_v_k = (((__pyx_v_i + __pyx_v_c.window) + 1) - (__pyx_v_c.reduced_windows[__pyx_v_i]));

            /* "gensim/models/doc2vec_inner.pyx":388
 *                     j = 0
 *                 k = i + c.window + 1 - c.reduced_windows[i]
 *                 if k > c.document_len:             # <<<<<<<<<<<<<<
 *                     k = c.document_len
 *                 for j in range(j, k):
 */
            __pyx_t_13 = ((__pyx_v_k > __pyx_v_c.document_len) != 0);
            if (__pyx_t_13) {

              /* "gensim/models/doc2vec_inner.pyx":389
 *                 k = i + c.window + 1 - c.reduced_windows[i]
 *                 if k > c.document_len:
 *                     k = c.document_len             # <<<<<<<<<<<<<<
 *                 for j in range(j, k):
 *                     if j == i:
 */
              __pyx_t_18 = __pyx_v_c.document_len;
              __pyx_v_k = __pyx_t_18;

              /* "gensim/models/doc2vec_inner.pyx":388
 *                     j = 0
 *                 k = i + c.window + 1 - c.reduced_windows[i]
 *                 if k > c.document_len:             # <<<<<<<<<<<<<<
 *                     k = c.document_len
 *                 for j in range(j, k):
 */
            }

            /* "gensim/models/doc2vec_inner.pyx":390
 *                 if k > c.document_len:
 *                     k = c.document_len
 *                 for j in range(j, k):             # <<<<<<<<<<<<<<
 *                     if j == i:
 *                         continue
 */
            __pyx_t_4 = __pyx_v_k;
            __pyx_t_19 = __pyx_t_4;
            for (__pyx_t_18 = __pyx_v_j; __pyx_t_18 < __pyx_t_19; __pyx_t_18+=1) {
              __pyx_v_j = __pyx_t_18;

              /* "gensim/models/doc2vec_inner.pyx":391
 *                     k = c.document_len
 *                 for j in range(j, k):
 *                     if j == i:             # <<<<<<<<<<<<<<
 *                         continue
 *                     if c.hs:
 */
              __pyx_t_13 = ((__pyx_v_j == __pyx_v_i) != 0);
              if (__pyx_t_13) {

                /* "gensim/models/doc2vec_inner.pyx":392
 *                 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_L29_continue;

                /* "gensim/models/doc2vec_inner.pyx":391
 *                     k = c.document_len
 *                 for j in range(j, k):
 *                     if j == i:             # <<<<<<<<<<<<<<
 *                         continue
 *                     if c.hs:
 */
              }

              /* "gensim/models/doc2vec_inner.pyx":393
 *                     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(c.points[i], c.codes[i], c.codelens[i], c.word_vectors, c.syn1, c.layer1_size,
 */
              __pyx_t_13 = (__pyx_v_c.hs != 0);
              if (__pyx_t_13) {

                /* "gensim/models/doc2vec_inner.pyx":395
 *                     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,
 *                                               c.words_lockf_len)
 */
                __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_inner.pyx":393
 *                     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(c.points[i], c.codes[i], c.codelens[i], c.word_vectors, c.syn1, c.layer1_size,
 */
              }

              /* "gensim/models/doc2vec_inner.pyx":398
 *                                               c.indexes[j], c.alpha, c.work, c.learn_words, c.learn_hidden, c.words_lockf,
 *                                               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(c.negative, c.cum_table, c.cum_table_len, c.word_vectors,
 */
              __pyx_t_13 = (__pyx_v_c.negative != 0);
              if (__pyx_t_13) {

                /* "gensim/models/doc2vec_inner.pyx":400
 *                     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, c.next_random, c.learn_words,
 */
                __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_inner.pyx":398
 *                                               c.indexes[j], c.alpha, c.work, c.learn_words, c.learn_hidden, c.words_lockf,
 *                                               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(c.negative, c.cum_table, c.cum_table_len, c.word_vectors,
 */
              }
              __pyx_L29_continue:;
            }

            /* "gensim/models/doc2vec_inner.pyx":383
 *     with nogil:
 *         for i in range(c.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_inner.pyx":406
 * 
 *             # docvec-training
 *             for j in range(c.doctag_len):             # <<<<<<<<<<<<<<
 *                 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_18 = __pyx_v_c.doctag_len;
          __pyx_t_20 = __pyx_t_18;
          for (__pyx_t_21 = 0; __pyx_t_21 < __pyx_t_20; __pyx_t_21+=1) {
            __pyx_v_j = __pyx_t_21;

            /* "gensim/models/doc2vec_inner.pyx":407
 *             # docvec-training
 *             for j in range(c.doctag_len):
 *                 if c.hs:             # <<<<<<<<<<<<<<
 *                     fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.doctag_vectors, c.syn1, c.layer1_size,
 *                                           c.doctag_indexes[j], c.alpha, c.work, c.learn_doctags, c.learn_hidden, c.doctags_lockf,
 */
            __pyx_t_13 = (__pyx_v_c.hs != 0);
            if (__pyx_t_13) {

              /* "gensim/models/doc2vec_inner.pyx":408
 *             for j in range(c.doctag_len):
 *                 if c.hs:
 *                     fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.doctag_vectors, c.syn1, c.layer1_size,             # <<<<<<<<<<<<<<
 *                                           c.doctag_indexes[j], c.alpha, c.work, c.learn_doctags, c.learn_hidden, c.doctags_lockf,
 *                                           c.doctags_lockf_len)
 */
              __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_c.doctag_indexes[__pyx_v_j]), __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_inner.pyx":407
 *             # docvec-training
 *             for j in range(c.doctag_len):
 *                 if c.hs:             # <<<<<<<<<<<<<<
 *                     fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.doctag_vectors, c.syn1, c.layer1_size,
 *                                           c.doctag_indexes[j], c.alpha, c.work, c.learn_doctags, c.learn_hidden, c.doctags_lockf,
 */
            }

            /* "gensim/models/doc2vec_inner.pyx":411
 *                                           c.doctag_indexes[j], c.alpha, c.work, c.learn_doctags, c.learn_hidden, c.doctags_lockf,
 *                                           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, c.layer1_size, c.indexes[i], c.doctag_indexes[j],
 */
            __pyx_t_13 = (__pyx_v_c.negative != 0);
            if (__pyx_t_13) {

              /* "gensim/models/doc2vec_inner.pyx":412
 *                                           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, c.layer1_size, c.indexes[i], c.doctag_indexes[j],
 *                                                            c.alpha, c.work, c.next_random, c.learn_doctags,
 */
              __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_c.doctag_indexes[__pyx_v_j]), __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_inner.pyx":411
 *                                           c.doctag_indexes[j], c.alpha, c.work, c.learn_doctags, c.learn_hidden, c.doctags_lockf,
 *                                           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, c.layer1_size, c.indexes[i], c.doctag_indexes[j],
 */
            }
          }
        }
      }

      /* "gensim/models/doc2vec_inner.pyx":381
 * 
 *     # release GIL & train on the document
 *     with nogil:             # <<<<<<<<<<<<<<
 *         for i in range(c.document_len):
 *             if c.train_words:  # simultaneous skip-gram wordvec-training
 */
      /*finally:*/ {
        /*normal exit:*/{
          #ifdef WITH_THREAD
          __Pyx_FastGIL_Forget();
          Py_BLOCK_THREADS
          #endif
          goto __pyx_L23;
        }
        __pyx_L23:;
      }
  }

  /* "gensim/models/doc2vec_inner.pyx":417
 *                                                            c.learn_hidden, c.doctags_lockf, c.doctags_lockf_len)
 * 
 *     return result             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_9 = __Pyx_PyInt_From_long(__pyx_v_result); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 417, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_r = __pyx_t_9;
  __pyx_t_9 = 0;
  goto __pyx_L0;

  /* "gensim/models/doc2vec_inner.pyx":286
 * 
 * 
 * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,             # <<<<<<<<<<<<<<
 *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
 *                         word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_9);
  __Pyx_XDECREF(__pyx_t_10);
  __Pyx_XDECREF(__pyx_t_12);
  __Pyx_XDECREF(__pyx_t_16);
  __Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dbow", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_vocab_codes);
  __Pyx_XDECREF(__pyx_v_vocab_points);
  __Pyx_XDECREF(__pyx_v_token);
  __Pyx_XDECREF(__pyx_v_word_index);
  __Pyx_XDECREF(__pyx_v_item);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gensim/models/doc2vec_inner.pyx":420
 * 
 * 
 * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
 *                       learn_doctags=True, learn_words=True, learn_hidden=True,
 *                       word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_3train_document_dm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gensim_6models_13doc2vec_inner_2train_document_dm[] = "train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, learn_doctags=True, learn_words=True, learn_hidden=True, word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None)\nUpdate distributed memory model (\"PV-DM\") by training on a single document.\n    This method implements the DM model with a projection (input) layer that is either the sum or mean of the context\n    vectors, depending on the model's `dm_mean` configuration field.\n\n    Called internally from :meth:`~gensim.models.doc2vec.Doc2Vec.train` and\n    :meth:`~gensim.models.doc2vec.Doc2Vec.infer_vector`.\n\n    Parameters\n    ----------\n    model : :class:`~gensim.models.doc2vec.Doc2Vec`\n        The model to train.\n    doc_words : list of str\n        The input document as a list of words to be used for training. Each word will be looked up in\n        the model's vocabulary.\n    doctag_indexes : list of int\n        Indices into `doctag_vectors` used to obtain the tags of the document.\n    alpha : float\n        Learning rate.\n    work : np.ndarray, optional\n        Private working memory for each worker.\n    neu1 : np.ndarray, optional\n        Private working memory for each worker.\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_13doc2vec_inner_3train_document_dm = {"train_document_dm", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gensim_6models_13doc2vec_inner_3train_document_dm, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_13doc2vec_inner_2train_document_dm};
static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_3train_document_dm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_model = 0;
  PyObject *__pyx_v_doc_words = 0;
  PyObject *__pyx_v_doctag_indexes = 0;
  PyObject *__pyx_v_alpha = 0;
  PyObject *__pyx_v_work = 0;
  PyObject *__pyx_v_neu1 = 0;
  PyObject *__pyx_v_learn_doctags = 0;
  PyObject *__pyx_v_learn_words = 0;
  PyObject *__pyx_v_learn_hidden = 0;
  PyObject *__pyx_v_word_vectors = 0;
  PyObject *__pyx_v_words_lockf = 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("train_document_dm (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_model,&__pyx_n_s_doc_words,&__pyx_n_s_doctag_indexes,&__pyx_n_s_alpha,&__pyx_n_s_work,&__pyx_n_s_neu1,&__pyx_n_s_learn_doctags,&__pyx_n_s_learn_words,&__pyx_n_s_learn_hidden,&__pyx_n_s_word_vectors,&__pyx_n_s_words_lockf,&__pyx_n_s_doctag_vectors,&__pyx_n_s_doctags_lockf,0};
    PyObject* values[13] = {0,0,0,0,0,0,0,0,0,0,0,0,0};
    values[4] = ((PyObject *)Py_None);
    values[5] = ((PyObject *)Py_None);

    /* "gensim/models/doc2vec_inner.pyx":421
 * 
 * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,
 *                       learn_doctags=True, learn_words=True, learn_hidden=True,             # <<<<<<<<<<<<<<
 *                       word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 *     """Update distributed memory model ("PV-DM") by training on a single document.
 */
    values[6] = ((PyObject *)Py_True);
    values[7] = ((PyObject *)Py_True);
    values[8] = ((PyObject *)Py_True);

    /* "gensim/models/doc2vec_inner.pyx":422
 * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,
 *                       learn_doctags=True, learn_words=True, learn_hidden=True,
 *                       word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):             # <<<<<<<<<<<<<<
 *     """Update distributed memory model ("PV-DM") by training on a single document.
 *     This method implements the DM model with a projection (input) layer that is either the sum or mean of the context
 */
    values[9] = ((PyObject *)Py_None);
    values[10] = ((PyObject *)Py_None);
    values[11] = ((PyObject *)Py_None);
    values[12] = ((PyObject *)Py_None);
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
        CYTHON_FALLTHROUGH;
        case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
        CYTHON_FALLTHROUGH;
        case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
        CYTHON_FALLTHROUGH;
        case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
        CYTHON_FALLTHROUGH;
        case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
        CYTHON_FALLTHROUGH;
        case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
        CYTHON_FALLTHROUGH;
        case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
        CYTHON_FALLTHROUGH;
        case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
        CYTHON_FALLTHROUGH;
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_model)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doc_words)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("train_document_dm", 0, 4, 13, 1); __PYX_ERR(0, 420, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_indexes)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("train_document_dm", 0, 4, 13, 2); __PYX_ERR(0, 420, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_alpha)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("train_document_dm", 0, 4, 13, 3); __PYX_ERR(0, 420, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  4:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_work);
          if (value) { values[4] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  5:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neu1);
          if (value) { values[5] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  6:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_doctags);
          if (value) { values[6] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  7:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_words);
          if (value) { values[7] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  8:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_hidden);
          if (value) { values[8] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  9:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_word_vectors);
          if (value) { values[9] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 10:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_words_lockf);
          if (value) { values[10] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 11:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_vectors);
          if (value) { values[11] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 12:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctags_lockf);
          if (value) { values[12] = value; kw_args--; }
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "train_document_dm") < 0)) __PYX_ERR(0, 420, __pyx_L3_error)
      }
    } else {
      switch (PyTuple_GET_SIZE(__pyx_args)) {
        case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
        CYTHON_FALLTHROUGH;
        case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
        CYTHON_FALLTHROUGH;
        case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
        CYTHON_FALLTHROUGH;
        case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
        CYTHON_FALLTHROUGH;
        case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
        CYTHON_FALLTHROUGH;
        case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
        CYTHON_FALLTHROUGH;
        case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
        CYTHON_FALLTHROUGH;
        case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
        CYTHON_FALLTHROUGH;
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        break;
        default: goto __pyx_L5_argtuple_error;
      }
    }
    __pyx_v_model = values[0];
    __pyx_v_doc_words = values[1];
    __pyx_v_doctag_indexes = values[2];
    __pyx_v_alpha = values[3];
    __pyx_v_work = values[4];
    __pyx_v_neu1 = values[5];
    __pyx_v_learn_doctags = values[6];
    __pyx_v_learn_words = values[7];
    __pyx_v_learn_hidden = values[8];
    __pyx_v_word_vectors = values[9];
    __pyx_v_words_lockf = values[10];
    __pyx_v_doctag_vectors = values[11];
    __pyx_v_doctags_lockf = values[12];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("train_document_dm", 0, 4, 13, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 420, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dm", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gensim_6models_13doc2vec_inner_2train_document_dm(__pyx_self, __pyx_v_model, __pyx_v_doc_words, __pyx_v_doctag_indexes, __pyx_v_alpha, __pyx_v_work, __pyx_v_neu1, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, __pyx_v_word_vectors, __pyx_v_words_lockf, __pyx_v_doctag_vectors, __pyx_v_doctags_lockf);

  /* "gensim/models/doc2vec_inner.pyx":420
 * 
 * 
 * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
 *                       learn_doctags=True, learn_words=True, learn_hidden=True,
 *                       word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_2train_document_dm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_words_lockf, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctags_lockf) {
  struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig __pyx_v_c;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_count;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_inv_count;
  int __pyx_v_i;
  int __pyx_v_j;
  int __pyx_v_k;
  int __pyx_v_m;
  long __pyx_v_result;
  __pyx_t_5numpy_uint32_t *__pyx_v_vocab_sample_ints;
  PyObject *__pyx_v_vocab_codes = NULL;
  PyObject *__pyx_v_vocab_points = NULL;
  PyObject *__pyx_v_token = NULL;
  PyObject *__pyx_v_word_index = NULL;
  PyObject *__pyx_v_item = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config __pyx_t_2;
  Py_ssize_t __pyx_t_3;
  long __pyx_t_4;
  Py_ssize_t __pyx_t_5;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  PyObject *(*__pyx_t_8)(PyObject *);
  PyObject *__pyx_t_9 = NULL;
  PyObject *__pyx_t_10 = NULL;
  int __pyx_t_11;
  PyObject *__pyx_t_12 = NULL;
  int __pyx_t_13;
  __pyx_t_5numpy_uint32_t __pyx_t_14;
  int __pyx_t_15;
  PyObject *__pyx_t_16 = NULL;
  int __pyx_t_17;
  int __pyx_t_18;
  int __pyx_t_19;
  int __pyx_t_20;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("train_document_dm", 0);

  /* "gensim/models/doc2vec_inner.pyx":470
 *     cdef Doc2VecConfig c
 * 
 *     cdef REAL_t count, inv_count = 1.0             # <<<<<<<<<<<<<<
 *     cdef int i, j, k, m
 *     cdef long result = 0
 */
  __pyx_v_inv_count = 1.0;

  /* "gensim/models/doc2vec_inner.pyx":472
 *     cdef REAL_t count, inv_count = 1.0
 *     cdef int i, j, k, m
 *     cdef long result = 0             # <<<<<<<<<<<<<<
 *     cdef np.uint32_t *vocab_sample_ints
 * 
 */
  __pyx_v_result = 0;

  /* "gensim/models/doc2vec_inner.pyx":475
 *     cdef np.uint32_t *vocab_sample_ints
 * 
 *     init_d2v_config(&c, model, alpha, learn_doctags, learn_words, learn_hidden, train_words=False,             # <<<<<<<<<<<<<<
 *                     work=work, neu1=neu1, word_vectors=word_vectors, words_lockf=words_lockf,
 *                     doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf)
 */
  __pyx_t_2.__pyx_n = 7;
  __pyx_t_2.train_words = Py_False;
  __pyx_t_2.work = __pyx_v_work;
  __pyx_t_2.neu1 = __pyx_v_neu1;
  __pyx_t_2.word_vectors = __pyx_v_word_vectors;
  __pyx_t_2.words_lockf = __pyx_v_words_lockf;
  __pyx_t_2.doctag_vectors = __pyx_v_doctag_vectors;
  __pyx_t_2.doctags_lockf = __pyx_v_doctags_lockf;
  __pyx_t_1 = __pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config((&__pyx_v_c), __pyx_v_model, __pyx_v_alpha, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, &__pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 475, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gensim/models/doc2vec_inner.pyx":478
 *                     work=work, neu1=neu1, word_vectors=word_vectors, words_lockf=words_lockf,
 *                     doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf)
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))             # <<<<<<<<<<<<<<
 *     if c.sample:
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 */
  __pyx_t_3 = PyObject_Length(__pyx_v_doctag_indexes); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 478, __pyx_L1_error)
  __pyx_t_4 = 0x2710;
  if (((__pyx_t_3 < __pyx_t_4) != 0)) {
    __pyx_t_5 = __pyx_t_3;
  } else {
    __pyx_t_5 = __pyx_t_4;
  }
  __pyx_v_c.doctag_len = ((int)__pyx_t_5);

  /* "gensim/models/doc2vec_inner.pyx":479
 *                     doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf)
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
 *     if c.sample:             # <<<<<<<<<<<<<<
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 * #        vocab_sample_ints = model.wv.expandos['sample_int']  # this variant noticeably slower
 */
  __pyx_t_6 = (__pyx_v_c.sample != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":480
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
 *     if c.sample:
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])             # <<<<<<<<<<<<<<
 * #        vocab_sample_ints = model.wv.expandos['sample_int']  # this variant noticeably slower
 *     if c.hs:
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 480, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 480, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_7, __pyx_n_u_sample_int); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 480, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 480, __pyx_L1_error)
    __pyx_v_vocab_sample_ints = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_1)));
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":479
 *                     doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf)
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
 *     if c.sample:             # <<<<<<<<<<<<<<
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 * #        vocab_sample_ints = model.wv.expandos['sample_int']  # this variant noticeably slower
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":482
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 * #        vocab_sample_ints = model.wv.expandos['sample_int']  # this variant noticeably slower
 *     if c.hs:             # <<<<<<<<<<<<<<
 *         vocab_codes = model.wv.expandos['code']
 *         vocab_points = model.wv.expandos['point']
 */
  __pyx_t_6 = (__pyx_v_c.hs != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":483
 * #        vocab_sample_ints = model.wv.expandos['sample_int']  # this variant noticeably slower
 *     if c.hs:
 *         vocab_codes = model.wv.expandos['code']             # <<<<<<<<<<<<<<
 *         vocab_points = model.wv.expandos['point']
 * 
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 483, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 483, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_7, __pyx_n_u_code); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 483, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_v_vocab_codes = __pyx_t_1;
    __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":484
 *     if c.hs:
 *         vocab_codes = model.wv.expandos['code']
 *         vocab_points = model.wv.expandos['point']             # <<<<<<<<<<<<<<
 * 
 *     i = 0
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 484, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 484, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_7, __pyx_n_u_point); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 484, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_v_vocab_points = __pyx_t_1;
    __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":482
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 * #        vocab_sample_ints = model.wv.expandos['sample_int']  # this variant noticeably slower
 *     if c.hs:             # <<<<<<<<<<<<<<
 *         vocab_codes = model.wv.expandos['code']
 *         vocab_points = model.wv.expandos['point']
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":486
 *         vocab_points = model.wv.expandos['point']
 * 
 *     i = 0             # <<<<<<<<<<<<<<
 *     for token in doc_words:
 *         word_index = model.wv.key_to_index.get(token, None)
 */
  __pyx_v_i = 0;

  /* "gensim/models/doc2vec_inner.pyx":487
 * 
 *     i = 0
 *     for token in doc_words:             # <<<<<<<<<<<<<<
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word
 */
  if (likely(PyList_CheckExact(__pyx_v_doc_words)) || PyTuple_CheckExact(__pyx_v_doc_words)) {
    __pyx_t_1 = __pyx_v_doc_words; __Pyx_INCREF(__pyx_t_1); __pyx_t_5 = 0;
    __pyx_t_8 = NULL;
  } else {
    __pyx_t_5 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_v_doc_words); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 487, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_8 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 487, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_8)) {
      if (likely(PyList_CheckExact(__pyx_t_1))) {
        if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_7 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 487, __pyx_L1_error)
        #else
        __pyx_t_7 = PySequence_ITEM(__pyx_t_1, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 487, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_7);
        #endif
      } else {
        if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_7 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 487, __pyx_L1_error)
        #else
        __pyx_t_7 = PySequence_ITEM(__pyx_t_1, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 487, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_7);
        #endif
      }
    } else {
      __pyx_t_7 = __pyx_t_8(__pyx_t_1);
      if (unlikely(!__pyx_t_7)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 487, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_7);
    }
    __Pyx_XDECREF_SET(__pyx_v_token, __pyx_t_7);
    __pyx_t_7 = 0;

    /* "gensim/models/doc2vec_inner.pyx":488
 *     i = 0
 *     for token in doc_words:
 *         word_index = model.wv.key_to_index.get(token, None)             # <<<<<<<<<<<<<<
 *         if word_index is None:  # shrink document to leave out word
 *             continue  # leaving i unchanged
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 488, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_key_to_index); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 488, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_10);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_get); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 488, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
    __pyx_t_10 = NULL;
    __pyx_t_11 = 0;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
      __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_9);
      if (likely(__pyx_t_10)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
        __Pyx_INCREF(__pyx_t_10);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_9, function);
        __pyx_t_11 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_9)) {
      PyObject *__pyx_temp[3] = {__pyx_t_10, __pyx_v_token, Py_None};
      __pyx_t_7 = __Pyx_PyFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_11, 2+__pyx_t_11); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 488, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_GOTREF(__pyx_t_7);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_9)) {
      PyObject *__pyx_temp[3] = {__pyx_t_10, __pyx_v_token, Py_None};
      __pyx_t_7 = __Pyx_PyCFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_11, 2+__pyx_t_11); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 488, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_GOTREF(__pyx_t_7);
    } else
    #endif
    {
      __pyx_t_12 = PyTuple_New(2+__pyx_t_11); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 488, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      if (__pyx_t_10) {
        __Pyx_GIVEREF(__pyx_t_10); PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_10); __pyx_t_10 = NULL;
      }
      __Pyx_INCREF(__pyx_v_token);
      __Pyx_GIVEREF(__pyx_v_token);
      PyTuple_SET_ITEM(__pyx_t_12, 0+__pyx_t_11, __pyx_v_token);
      __Pyx_INCREF(Py_None);
      __Pyx_GIVEREF(Py_None);
      PyTuple_SET_ITEM(__pyx_t_12, 1+__pyx_t_11, Py_None);
      __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_9, __pyx_t_12, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 488, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    }
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __Pyx_XDECREF_SET(__pyx_v_word_index, __pyx_t_7);
    __pyx_t_7 = 0;

    /* "gensim/models/doc2vec_inner.pyx":489
 *     for token in doc_words:
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word             # <<<<<<<<<<<<<<
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 */
    __pyx_t_6 = (__pyx_v_word_index == Py_None);
    __pyx_t_13 = (__pyx_t_6 != 0);
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":490
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word
 *             continue  # leaving i unchanged             # <<<<<<<<<<<<<<
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 *             continue
 */
      goto __pyx_L5_continue;

      /* "gensim/models/doc2vec_inner.pyx":489
 *     for token in doc_words:
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word             # <<<<<<<<<<<<<<
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":491
 *         if word_index is None:  # shrink document to leave out word
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):             # <<<<<<<<<<<<<<
 *             continue
 *         c.indexes[i] = word_index
 */
    __pyx_t_6 = (__pyx_v_c.sample != 0);
    if (__pyx_t_6) {
    } else {
      __pyx_t_13 = __pyx_t_6;
      goto __pyx_L9_bool_binop_done;
    }
    __pyx_t_3 = __Pyx_PyIndex_AsSsize_t(__pyx_v_word_index); if (unlikely((__pyx_t_3 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 491, __pyx_L1_error)
    __pyx_t_6 = (((__pyx_v_vocab_sample_ints[__pyx_t_3]) < __pyx_f_6gensim_6models_14word2vec_inner_random_int32((&__pyx_v_c.next_random))) != 0);
    __pyx_t_13 = __pyx_t_6;
    __pyx_L9_bool_binop_done:;
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":492
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 *             continue             # <<<<<<<<<<<<<<
 *         c.indexes[i] = word_index
 *         if c.hs:
 */
      goto __pyx_L5_continue;

      /* "gensim/models/doc2vec_inner.pyx":491
 *         if word_index is None:  # shrink document to leave out word
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):             # <<<<<<<<<<<<<<
 *             continue
 *         c.indexes[i] = word_index
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":493
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 *             continue
 *         c.indexes[i] = word_index             # <<<<<<<<<<<<<<
 *         if c.hs:
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 */
    __pyx_t_14 = __Pyx_PyInt_As_npy_uint32(__pyx_v_word_index); if (unlikely((__pyx_t_14 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 493, __pyx_L1_error)
    (__pyx_v_c.indexes[__pyx_v_i]) = __pyx_t_14;

    /* "gensim/models/doc2vec_inner.pyx":494
 *             continue
 *         c.indexes[i] = word_index
 *         if c.hs:             # <<<<<<<<<<<<<<
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 */
    __pyx_t_13 = (__pyx_v_c.hs != 0);
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":495
 *         c.indexes[i] = word_index
 *         if c.hs:
 *             c.codelens[i] = <int>len(vocab_codes[word_index])             # <<<<<<<<<<<<<<
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])
 */
      if (unlikely(!__pyx_v_vocab_codes)) { __Pyx_RaiseUnboundLocalError("vocab_codes"); __PYX_ERR(0, 495, __pyx_L1_error) }
      __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_vocab_codes, __pyx_v_word_index); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 495, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_3 = PyObject_Length(__pyx_t_7); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 495, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      (__pyx_v_c.codelens[__pyx_v_i]) = ((int)__pyx_t_3);

      /* "gensim/models/doc2vec_inner.pyx":496
 *         if c.hs:
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])             # <<<<<<<<<<<<<<
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])
 *         result += 1
 */
      if (unlikely(!__pyx_v_vocab_codes)) { __Pyx_RaiseUnboundLocalError("vocab_codes"); __PYX_ERR(0, 496, __pyx_L1_error) }
      __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_vocab_codes, __pyx_v_word_index); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 496, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      if (!(likely(((__pyx_t_7) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_7, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 496, __pyx_L1_error)
      (__pyx_v_c.codes[__pyx_v_i]) = ((__pyx_t_5numpy_uint8_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_7)));
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

      /* "gensim/models/doc2vec_inner.pyx":497
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])             # <<<<<<<<<<<<<<
 *         result += 1
 *         i += 1
 */
      if (unlikely(!__pyx_v_vocab_points)) { __Pyx_RaiseUnboundLocalError("vocab_points"); __PYX_ERR(0, 497, __pyx_L1_error) }
      __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_vocab_points, __pyx_v_word_index); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 497, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      if (!(likely(((__pyx_t_7) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_7, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 497, __pyx_L1_error)
      (__pyx_v_c.points[__pyx_v_i]) = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_7)));
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

      /* "gensim/models/doc2vec_inner.pyx":494
 *             continue
 *         c.indexes[i] = word_index
 *         if c.hs:             # <<<<<<<<<<<<<<
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":498
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])
 *         result += 1             # <<<<<<<<<<<<<<
 *         i += 1
 *         if i == MAX_DOCUMENT_LEN:
 */
    __pyx_v_result = (__pyx_v_result + 1);

    /* "gensim/models/doc2vec_inner.pyx":499
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])
 *         result += 1
 *         i += 1             # <<<<<<<<<<<<<<
 *         if i == MAX_DOCUMENT_LEN:
 *             break  # TODO: log warning, tally overflow?
 */
    __pyx_v_i = (__pyx_v_i + 1);

    /* "gensim/models/doc2vec_inner.pyx":500
 *         result += 1
 *         i += 1
 *         if i == MAX_DOCUMENT_LEN:             # <<<<<<<<<<<<<<
 *             break  # TODO: log warning, tally overflow?
 *     c.document_len = i
 */
    __pyx_t_13 = ((__pyx_v_i == 0x2710) != 0);
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":501
 *         i += 1
 *         if i == MAX_DOCUMENT_LEN:
 *             break  # TODO: log warning, tally overflow?             # <<<<<<<<<<<<<<
 *     c.document_len = i
 * 
 */
      goto __pyx_L6_break;

      /* "gensim/models/doc2vec_inner.pyx":500
 *         result += 1
 *         i += 1
 *         if i == MAX_DOCUMENT_LEN:             # <<<<<<<<<<<<<<
 *             break  # TODO: log warning, tally overflow?
 *     c.document_len = i
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":487
 * 
 *     i = 0
 *     for token in doc_words:             # <<<<<<<<<<<<<<
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word
 */
    __pyx_L5_continue:;
  }
  __pyx_L6_break:;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gensim/models/doc2vec_inner.pyx":502
 *         if i == MAX_DOCUMENT_LEN:
 *             break  # TODO: log warning, tally overflow?
 *     c.document_len = i             # <<<<<<<<<<<<<<
 * 
 *     # single randint() call avoids a big thread-sync slowdown
 */
  __pyx_v_c.document_len = __pyx_v_i;

  /* "gensim/models/doc2vec_inner.pyx":505
 * 
 *     # single randint() call avoids a big thread-sync slowdown
 *     if model.shrink_windows:             # <<<<<<<<<<<<<<
 *         for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):
 *             c.reduced_windows[i] = item
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_shrink_windows); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 505, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_13 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_13 < 0)) __PYX_ERR(0, 505, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (__pyx_t_13) {

    /* "gensim/models/doc2vec_inner.pyx":506
 *     # single randint() call avoids a big thread-sync slowdown
 *     if model.shrink_windows:
 *         for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):             # <<<<<<<<<<<<<<
 *             c.reduced_windows[i] = item
 *     else:
 */
    __pyx_t_11 = 0;
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_random); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 506, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_randint); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 506, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_t_7 = __Pyx_PyInt_From_int(__pyx_v_c.window); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 506, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_12 = __Pyx_PyInt_From_int(__pyx_v_c.document_len); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 506, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_12);
    __pyx_t_10 = NULL;
    __pyx_t_15 = 0;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
      __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_9);
      if (likely(__pyx_t_10)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
        __Pyx_INCREF(__pyx_t_10);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_9, function);
        __pyx_t_15 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_9)) {
      PyObject *__pyx_temp[4] = {__pyx_t_10, __pyx_int_0, __pyx_t_7, __pyx_t_12};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_15, 3+__pyx_t_15); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 506, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_9)) {
      PyObject *__pyx_temp[4] = {__pyx_t_10, __pyx_int_0, __pyx_t_7, __pyx_t_12};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_15, 3+__pyx_t_15); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 506, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    } else
    #endif
    {
      __pyx_t_16 = PyTuple_New(3+__pyx_t_15); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 506, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_16);
      if (__pyx_t_10) {
        __Pyx_GIVEREF(__pyx_t_10); PyTuple_SET_ITEM(__pyx_t_16, 0, __pyx_t_10); __pyx_t_10 = NULL;
      }
      __Pyx_INCREF(__pyx_int_0);
      __Pyx_GIVEREF(__pyx_int_0);
      PyTuple_SET_ITEM(__pyx_t_16, 0+__pyx_t_15, __pyx_int_0);
      __Pyx_GIVEREF(__pyx_t_7);
      PyTuple_SET_ITEM(__pyx_t_16, 1+__pyx_t_15, __pyx_t_7);
      __Pyx_GIVEREF(__pyx_t_12);
      PyTuple_SET_ITEM(__pyx_t_16, 2+__pyx_t_15, __pyx_t_12);
      __pyx_t_7 = 0;
      __pyx_t_12 = 0;
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_9, __pyx_t_16, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 506, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;
    }
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    if (likely(PyList_CheckExact(__pyx_t_1)) || PyTuple_CheckExact(__pyx_t_1)) {
      __pyx_t_9 = __pyx_t_1; __Pyx_INCREF(__pyx_t_9); __pyx_t_5 = 0;
      __pyx_t_8 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_9 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 506, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __pyx_t_8 = Py_TYPE(__pyx_t_9)->tp_iternext; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 506, __pyx_L1_error)
    }
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    for (;;) {
      if (likely(!__pyx_t_8)) {
        if (likely(PyList_CheckExact(__pyx_t_9))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_9)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_1 = PyList_GET_ITEM(__pyx_t_9, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 506, __pyx_L1_error)
          #else
          __pyx_t_1 = PySequence_ITEM(__pyx_t_9, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 506, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_1);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_9)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_9, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 506, __pyx_L1_error)
          #else
          __pyx_t_1 = PySequence_ITEM(__pyx_t_9, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 506, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_1);
          #endif
        }
      } else {
        __pyx_t_1 = __pyx_t_8(__pyx_t_9);
        if (unlikely(!__pyx_t_1)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 506, __pyx_L1_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_1);
      }
      __Pyx_XDECREF_SET(__pyx_v_item, __pyx_t_1);
      __pyx_t_1 = 0;
      __pyx_v_i = __pyx_t_11;
      __pyx_t_11 = (__pyx_t_11 + 1);

      /* "gensim/models/doc2vec_inner.pyx":507
 *     if model.shrink_windows:
 *         for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):
 *             c.reduced_windows[i] = item             # <<<<<<<<<<<<<<
 *     else:
 *         for i in range(c.document_len):
 */
      __pyx_t_14 = __Pyx_PyInt_As_npy_uint32(__pyx_v_item); if (unlikely((__pyx_t_14 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 507, __pyx_L1_error)
      (__pyx_v_c.reduced_windows[__pyx_v_i]) = __pyx_t_14;

      /* "gensim/models/doc2vec_inner.pyx":506
 *     # single randint() call avoids a big thread-sync slowdown
 *     if model.shrink_windows:
 *         for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):             # <<<<<<<<<<<<<<
 *             c.reduced_windows[i] = item
 *     else:
 */
    }
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "gensim/models/doc2vec_inner.pyx":505
 * 
 *     # single randint() call avoids a big thread-sync slowdown
 *     if model.shrink_windows:             # <<<<<<<<<<<<<<
 *         for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):
 *             c.reduced_windows[i] = item
 */
    goto __pyx_L13;
  }

  /* "gensim/models/doc2vec_inner.pyx":509
 *             c.reduced_windows[i] = item
 *     else:
 *         for i in range(c.document_len):             # <<<<<<<<<<<<<<
 *             c.reduced_windows[i] = 0
 * 
 */
  /*else*/ {
    __pyx_t_11 = __pyx_v_c.document_len;
    __pyx_t_15 = __pyx_t_11;
    for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
      __pyx_v_i = __pyx_t_17;

      /* "gensim/models/doc2vec_inner.pyx":510
 *     else:
 *         for i in range(c.document_len):
 *             c.reduced_windows[i] = 0             # <<<<<<<<<<<<<<
 * 
 *     for i in range(c.doctag_len):
 */
      (__pyx_v_c.reduced_windows[__pyx_v_i]) = 0;
    }
  }
  __pyx_L13:;

  /* "gensim/models/doc2vec_inner.pyx":512
 *             c.reduced_windows[i] = 0
 * 
 *     for i in range(c.doctag_len):             # <<<<<<<<<<<<<<
 *         c.doctag_indexes[i] = doctag_indexes[i]
 *         result += 1
 */
  __pyx_t_11 = __pyx_v_c.doctag_len;
  __pyx_t_15 = __pyx_t_11;
  for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
    __pyx_v_i = __pyx_t_17;

    /* "gensim/models/doc2vec_inner.pyx":513
 * 
 *     for i in range(c.doctag_len):
 *         c.doctag_indexes[i] = doctag_indexes[i]             # <<<<<<<<<<<<<<
 *         result += 1
 * 
 */
    __pyx_t_9 = __Pyx_GetItemInt(__pyx_v_doctag_indexes, __pyx_v_i, int, 1, __Pyx_PyInt_From_int, 0, 0, 0); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 513, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_14 = __Pyx_PyInt_As_npy_uint32(__pyx_t_9); if (unlikely((__pyx_t_14 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 513, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    (__pyx_v_c.doctag_indexes[__pyx_v_i]) = __pyx_t_14;

    /* "gensim/models/doc2vec_inner.pyx":514
 *     for i in range(c.doctag_len):
 *         c.doctag_indexes[i] = doctag_indexes[i]
 *         result += 1             # <<<<<<<<<<<<<<
 * 
 *     # release GIL & train on the document
 */
    __pyx_v_result = (__pyx_v_result + 1);
  }

  /* "gensim/models/doc2vec_inner.pyx":517
 * 
 *     # release GIL & train on the document
 *     with nogil:             # <<<<<<<<<<<<<<
 *         for i in range(c.document_len):
 *             j = i - c.window + c.reduced_windows[i]
 */
  {
      #ifdef WITH_THREAD
      PyThreadState *_save;
      Py_UNBLOCK_THREADS
      __Pyx_FastGIL_Remember();
      #endif
      /*try:*/ {

        /* "gensim/models/doc2vec_inner.pyx":518
 *     # release GIL & train on the document
 *     with nogil:
 *         for i in range(c.document_len):             # <<<<<<<<<<<<<<
 *             j = i - c.window + c.reduced_windows[i]
 *             if j < 0:
 */
        __pyx_t_11 = __pyx_v_c.document_len;
        __pyx_t_15 = __pyx_t_11;
        for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
          __pyx_v_i = __pyx_t_17;

          /* "gensim/models/doc2vec_inner.pyx":519
 *     with nogil:
 *         for i in range(c.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_inner.pyx":520
 *         for i in range(c.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_13 = ((__pyx_v_j < 0) != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":521
 *             j = i - c.window + c.reduced_windows[i]
 *             if j < 0:
 *                 j = 0             # <<<<<<<<<<<<<<
 *             k = i + c.window + 1 - c.reduced_windows[i]
 *             if k > c.document_len:
 */
            __pyx_v_j = 0;

            /* "gensim/models/doc2vec_inner.pyx":520
 *         for i in range(c.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_inner.pyx":522
 *             if j < 0:
 *                 j = 0
 *             k = i + c.window + 1 - c.reduced_windows[i]             # <<<<<<<<<<<<<<
 *             if k > c.document_len:
 *                 k = c.document_len
 */
          __pyx_v_k = (((__pyx_v_i + __pyx_v_c.window) + 1) - (__pyx_v_c.reduced_windows[__pyx_v_i]));

          /* "gensim/models/doc2vec_inner.pyx":523
 *                 j = 0
 *             k = i + c.window + 1 - c.reduced_windows[i]
 *             if k > c.document_len:             # <<<<<<<<<<<<<<
 *                 k = c.document_len
 * 
 */
          __pyx_t_13 = ((__pyx_v_k > __pyx_v_c.document_len) != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":524
 *             k = i + c.window + 1 - c.reduced_windows[i]
 *             if k > c.document_len:
 *                 k = c.document_len             # <<<<<<<<<<<<<<
 * 
 *             # compose l1 (in _neu1) & clear _work
 */
            __pyx_t_18 = __pyx_v_c.document_len;
            __pyx_v_k = __pyx_t_18;

            /* "gensim/models/doc2vec_inner.pyx":523
 *                 j = 0
 *             k = i + c.window + 1 - c.reduced_windows[i]
 *             if k > c.document_len:             # <<<<<<<<<<<<<<
 *                 k = c.document_len
 * 
 */
          }

          /* "gensim/models/doc2vec_inner.pyx":527
 * 
 *             # compose l1 (in _neu1) & clear _work
 *             memset(c.neu1, 0, c.layer1_size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 *             count = <REAL_t>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_inner.pyx":528
 *             # compose l1 (in _neu1) & clear _work
 *             memset(c.neu1, 0, c.layer1_size * cython.sizeof(REAL_t))
 *             count = <REAL_t>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_inner.pyx":529
 *             memset(c.neu1, 0, c.layer1_size * cython.sizeof(REAL_t))
 *             count = <REAL_t>0.0
 *             for m in range(j, k):             # <<<<<<<<<<<<<<
 *                 if m == i:
 *                     continue
 */
          __pyx_t_18 = __pyx_v_k;
          __pyx_t_19 = __pyx_t_18;
          for (__pyx_t_20 = __pyx_v_j; __pyx_t_20 < __pyx_t_19; __pyx_t_20+=1) {
            __pyx_v_m = __pyx_t_20;

            /* "gensim/models/doc2vec_inner.pyx":530
 *             count = <REAL_t>0.0
 *             for m in range(j, k):
 *                 if m == i:             # <<<<<<<<<<<<<<
 *                     continue
 *                 else:
 */
            __pyx_t_13 = ((__pyx_v_m == __pyx_v_i) != 0);
            if (__pyx_t_13) {

              /* "gensim/models/doc2vec_inner.pyx":531
 *             for m in range(j, k):
 *                 if m == i:
 *                     continue             # <<<<<<<<<<<<<<
 *                 else:
 *                     count += ONEF
 */
              goto __pyx_L27_continue;

              /* "gensim/models/doc2vec_inner.pyx":530
 *             count = <REAL_t>0.0
 *             for m in range(j, k):
 *                 if m == i:             # <<<<<<<<<<<<<<
 *                     continue
 *                 else:
 */
            }

            /* "gensim/models/doc2vec_inner.pyx":533
 *                     continue
 *                 else:
 *                     count += ONEF             # <<<<<<<<<<<<<<
 *                     our_saxpy(&c.layer1_size, &ONEF, &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
 *             for m in range(c.doctag_len):
 */
            /*else*/ {
              __pyx_v_count = (__pyx_v_count + __pyx_v_6gensim_6models_13doc2vec_inner_ONEF);

              /* "gensim/models/doc2vec_inner.pyx":534
 *                 else:
 *                     count += ONEF
 *                     our_saxpy(&c.layer1_size, &ONEF, &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)             # <<<<<<<<<<<<<<
 *             for m in range(c.doctag_len):
 *                 count += ONEF
 */
              __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.layer1_size), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONEF), (&(__pyx_v_c.word_vectors[((__pyx_v_c.indexes[__pyx_v_m]) * __pyx_v_c.layer1_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_c.neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
            }
            __pyx_L27_continue:;
          }

          /* "gensim/models/doc2vec_inner.pyx":535
 *                     count += ONEF
 *                     our_saxpy(&c.layer1_size, &ONEF, &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
 *             for m in range(c.doctag_len):             # <<<<<<<<<<<<<<
 *                 count += ONEF
 *                 our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
 */
          __pyx_t_18 = __pyx_v_c.doctag_len;
          __pyx_t_19 = __pyx_t_18;
          for (__pyx_t_20 = 0; __pyx_t_20 < __pyx_t_19; __pyx_t_20+=1) {
            __pyx_v_m = __pyx_t_20;

            /* "gensim/models/doc2vec_inner.pyx":536
 *                     our_saxpy(&c.layer1_size, &ONEF, &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
 *             for m in range(c.doctag_len):
 *                 count += ONEF             # <<<<<<<<<<<<<<
 *                 our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
 *             if count > (<REAL_t>0.5):
 */
            __pyx_v_count = (__pyx_v_count + __pyx_v_6gensim_6models_13doc2vec_inner_ONEF);

            /* "gensim/models/doc2vec_inner.pyx":537
 *             for m in range(c.doctag_len):
 *                 count += ONEF
 *                 our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)             # <<<<<<<<<<<<<<
 *             if count > (<REAL_t>0.5):
 *                 inv_count = ONEF/count
 */
            __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.layer1_size), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONEF), (&(__pyx_v_c.doctag_vectors[((__pyx_v_c.doctag_indexes[__pyx_v_m]) * __pyx_v_c.layer1_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_c.neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
          }

          /* "gensim/models/doc2vec_inner.pyx":538
 *                 count += ONEF
 *                 our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
 *             if count > (<REAL_t>0.5):             # <<<<<<<<<<<<<<
 *                 inv_count = ONEF/count
 *             if c.cbow_mean:
 */
          __pyx_t_13 = ((__pyx_v_count > ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.5)) != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":539
 *                 our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
 *             if count > (<REAL_t>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_13doc2vec_inner_ONEF / __pyx_v_count);

            /* "gensim/models/doc2vec_inner.pyx":538
 *                 count += ONEF
 *                 our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
 *             if count > (<REAL_t>0.5):             # <<<<<<<<<<<<<<
 *                 inv_count = ONEF/count
 *             if c.cbow_mean:
 */
          }

          /* "gensim/models/doc2vec_inner.pyx":540
 *             if count > (<REAL_t>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_13 = (__pyx_v_c.cbow_mean != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":541
 *                 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_13doc2vec_inner_ONE));

            /* "gensim/models/doc2vec_inner.pyx":540
 *             if count > (<REAL_t>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_inner.pyx":542
 *             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(c.points[i], c.codes[i], c.codelens[i], c.neu1, c.syn1, c.alpha, c.work,
 */
          (void)(memset(__pyx_v_c.work, 0, (__pyx_v_c.layer1_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

          /* "gensim/models/doc2vec_inner.pyx":543
 *                 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, c.syn1, c.alpha, c.work,
 *                                     c.layer1_size, c.learn_hidden)
 */
          __pyx_t_13 = (__pyx_v_c.hs != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":544
 *             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)
 *             if c.negative:
 */
            __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_inner.pyx":543
 *                 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, c.syn1, c.alpha, c.work,
 *                                     c.layer1_size, c.learn_hidden)
 */
          }

          /* "gensim/models/doc2vec_inner.pyx":546
 *                 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)
 *             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,
 */
          __pyx_t_13 = (__pyx_v_c.negative != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":547
 *                                     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, 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_inner.pyx":546
 *                 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)
 *             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,
 */
          }

          /* "gensim/models/doc2vec_inner.pyx":551
 *                                                      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_13 = ((!(__pyx_v_c.cbow_mean != 0)) != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":552
 * 
 *             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:
 */
            __pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_c.layer1_size), (&__pyx_v_inv_count), __pyx_v_c.work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));

            /* "gensim/models/doc2vec_inner.pyx":551
 *                                                      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_inner.pyx":554
 *                 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:             # <<<<<<<<<<<<<<
 *                 for m in range(c.doctag_len):
 *                     our_saxpy(&c.layer1_size, &c.doctags_lockf[c.doctag_indexes[m] % c.doctags_lockf_len], c.work,
 */
          __pyx_t_13 = (__pyx_v_c.learn_doctags != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":555
 *             # apply accumulated error in work
 *             if c.learn_doctags:
 *                 for m in range(c.doctag_len):             # <<<<<<<<<<<<<<
 *                     our_saxpy(&c.layer1_size, &c.doctags_lockf[c.doctag_indexes[m] % c.doctags_lockf_len], c.work,
 *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE)
 */
            __pyx_t_18 = __pyx_v_c.doctag_len;
            __pyx_t_19 = __pyx_t_18;
            for (__pyx_t_20 = 0; __pyx_t_20 < __pyx_t_19; __pyx_t_20+=1) {
              __pyx_v_m = __pyx_t_20;

              /* "gensim/models/doc2vec_inner.pyx":556
 *             if c.learn_doctags:
 *                 for m in range(c.doctag_len):
 *                     our_saxpy(&c.layer1_size, &c.doctags_lockf[c.doctag_indexes[m] % c.doctags_lockf_len], c.work,             # <<<<<<<<<<<<<<
 *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE)
 *             if c.learn_words:
 */
              __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.layer1_size), (&(__pyx_v_c.doctags_lockf[((__pyx_v_c.doctag_indexes[__pyx_v_m]) % __pyx_v_c.doctags_lockf_len)])), __pyx_v_c.work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_c.doctag_vectors[((__pyx_v_c.doctag_indexes[__pyx_v_m]) * __pyx_v_c.layer1_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
            }

            /* "gensim/models/doc2vec_inner.pyx":554
 *                 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:             # <<<<<<<<<<<<<<
 *                 for m in range(c.doctag_len):
 *                     our_saxpy(&c.layer1_size, &c.doctags_lockf[c.doctag_indexes[m] % c.doctags_lockf_len], c.work,
 */
          }

          /* "gensim/models/doc2vec_inner.pyx":558
 *                     our_saxpy(&c.layer1_size, &c.doctags_lockf[c.doctag_indexes[m] % c.doctags_lockf_len], c.work,
 *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE)
 *             if c.learn_words:             # <<<<<<<<<<<<<<
 *                 for m in range(j, k):
 *                     if m == i:
 */
          __pyx_t_13 = (__pyx_v_c.learn_words != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":559
 *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE)
 *             if c.learn_words:
 *                 for m in range(j, k):             # <<<<<<<<<<<<<<
 *                     if m == i:
 *                         continue
 */
            __pyx_t_18 = __pyx_v_k;
            __pyx_t_19 = __pyx_t_18;
            for (__pyx_t_20 = __pyx_v_j; __pyx_t_20 < __pyx_t_19; __pyx_t_20+=1) {
              __pyx_v_m = __pyx_t_20;

              /* "gensim/models/doc2vec_inner.pyx":560
 *             if c.learn_words:
 *                 for m in range(j, k):
 *                     if m == i:             # <<<<<<<<<<<<<<
 *                         continue
 *                     else:
 */
              __pyx_t_13 = ((__pyx_v_m == __pyx_v_i) != 0);
              if (__pyx_t_13) {

                /* "gensim/models/doc2vec_inner.pyx":561
 *                 for m in range(j, k):
 *                     if m == i:
 *                         continue             # <<<<<<<<<<<<<<
 *                     else:
 *                          our_saxpy(&c.layer1_size, &c.words_lockf[c.indexes[m] % c.doctags_lockf_len], c.work, &ONE,
 */
                goto __pyx_L41_continue;

                /* "gensim/models/doc2vec_inner.pyx":560
 *             if c.learn_words:
 *                 for m in range(j, k):
 *                     if m == i:             # <<<<<<<<<<<<<<
 *                         continue
 *                     else:
 */
              }

              /* "gensim/models/doc2vec_inner.pyx":563
 *                         continue
 *                     else:
 *                          our_saxpy(&c.layer1_size, &c.words_lockf[c.indexes[m] % c.doctags_lockf_len], c.work, &ONE,             # <<<<<<<<<<<<<<
 *                                    &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE)
 * 
 */
              /*else*/ {

                /* "gensim/models/doc2vec_inner.pyx":564
 *                     else:
 *                          our_saxpy(&c.layer1_size, &c.words_lockf[c.indexes[m] % c.doctags_lockf_len], c.work, &ONE,
 *                                    &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE)             # <<<<<<<<<<<<<<
 * 
 *     return result
 */
                __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.doctags_lockf_len)])), __pyx_v_c.work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_c.word_vectors[((__pyx_v_c.indexes[__pyx_v_m]) * __pyx_v_c.layer1_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
              }
              __pyx_L41_continue:;
            }

            /* "gensim/models/doc2vec_inner.pyx":558
 *                     our_saxpy(&c.layer1_size, &c.doctags_lockf[c.doctag_indexes[m] % c.doctags_lockf_len], c.work,
 *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE)
 *             if c.learn_words:             # <<<<<<<<<<<<<<
 *                 for m in range(j, k):
 *                     if m == i:
 */
          }
        }
      }

      /* "gensim/models/doc2vec_inner.pyx":517
 * 
 *     # release GIL & train on the document
 *     with nogil:             # <<<<<<<<<<<<<<
 *         for i in range(c.document_len):
 *             j = i - c.window + c.reduced_windows[i]
 */
      /*finally:*/ {
        /*normal exit:*/{
          #ifdef WITH_THREAD
          __Pyx_FastGIL_Forget();
          Py_BLOCK_THREADS
          #endif
          goto __pyx_L22;
        }
        __pyx_L22:;
      }
  }

  /* "gensim/models/doc2vec_inner.pyx":566
 *                                    &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE)
 * 
 *     return result             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_9 = __Pyx_PyInt_From_long(__pyx_v_result); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 566, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_r = __pyx_t_9;
  __pyx_t_9 = 0;
  goto __pyx_L0;

  /* "gensim/models/doc2vec_inner.pyx":420
 * 
 * 
 * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
 *                       learn_doctags=True, learn_words=True, learn_hidden=True,
 *                       word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_9);
  __Pyx_XDECREF(__pyx_t_10);
  __Pyx_XDECREF(__pyx_t_12);
  __Pyx_XDECREF(__pyx_t_16);
  __Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dm", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_vocab_codes);
  __Pyx_XDECREF(__pyx_v_vocab_points);
  __Pyx_XDECREF(__pyx_v_token);
  __Pyx_XDECREF(__pyx_v_word_index);
  __Pyx_XDECREF(__pyx_v_item);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gensim/models/doc2vec_inner.pyx":569
 * 
 * 
 * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
 *                              learn_doctags=True, learn_words=True, learn_hidden=True,
 *                              word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_5train_document_dm_concat(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gensim_6models_13doc2vec_inner_4train_document_dm_concat[] = "train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, learn_doctags=True, learn_words=True, learn_hidden=True, word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None)\nUpdate distributed memory model (\"PV-DM\") by training on a single document, using a concatenation of the\n     context window word vectors (rather than a sum or average).\n     This will be slower since the input at each batch will be significantly larger.\n\n    Called internally from :meth:`~gensim.models.doc2vec.Doc2Vec.train` and\n    :meth:`~gensim.models.doc2vec.Doc2Vec.infer_vector`.\n\n    Parameters\n    ----------\n    model : :class:`~gensim.models.doc2vec.Doc2Vec`\n        The model to train.\n    doc_words : list of str\n        The input document as a list of words to be used for training. Each word will be looked up in\n        the model's vocabulary.\n    doctag_indexes : list of int\n        Indices into `doctag_vectors` used to obtain the tags of the document.\n    alpha : float, optional\n        Learning rate.\n    work : np.ndarray, optional\n        Private working memory for each worker.\n    neu1 : np.ndarray, optional\n        Private working memory for each worker.\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    docta""g_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_13doc2vec_inner_5train_document_dm_concat = {"train_document_dm_concat", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gensim_6models_13doc2vec_inner_5train_document_dm_concat, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_13doc2vec_inner_4train_document_dm_concat};
static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_5train_document_dm_concat(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_model = 0;
  PyObject *__pyx_v_doc_words = 0;
  PyObject *__pyx_v_doctag_indexes = 0;
  PyObject *__pyx_v_alpha = 0;
  PyObject *__pyx_v_work = 0;
  PyObject *__pyx_v_neu1 = 0;
  PyObject *__pyx_v_learn_doctags = 0;
  PyObject *__pyx_v_learn_words = 0;
  PyObject *__pyx_v_learn_hidden = 0;
  PyObject *__pyx_v_word_vectors = 0;
  PyObject *__pyx_v_words_lockf = 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("train_document_dm_concat (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_model,&__pyx_n_s_doc_words,&__pyx_n_s_doctag_indexes,&__pyx_n_s_alpha,&__pyx_n_s_work,&__pyx_n_s_neu1,&__pyx_n_s_learn_doctags,&__pyx_n_s_learn_words,&__pyx_n_s_learn_hidden,&__pyx_n_s_word_vectors,&__pyx_n_s_words_lockf,&__pyx_n_s_doctag_vectors,&__pyx_n_s_doctags_lockf,0};
    PyObject* values[13] = {0,0,0,0,0,0,0,0,0,0,0,0,0};
    values[4] = ((PyObject *)Py_None);
    values[5] = ((PyObject *)Py_None);

    /* "gensim/models/doc2vec_inner.pyx":570
 * 
 * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,
 *                              learn_doctags=True, learn_words=True, learn_hidden=True,             # <<<<<<<<<<<<<<
 *                              word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 *     """Update distributed memory model ("PV-DM") by training on a single document, using a concatenation of the
 */
    values[6] = ((PyObject *)Py_True);
    values[7] = ((PyObject *)Py_True);
    values[8] = ((PyObject *)Py_True);

    /* "gensim/models/doc2vec_inner.pyx":571
 * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,
 *                              learn_doctags=True, learn_words=True, learn_hidden=True,
 *                              word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):             # <<<<<<<<<<<<<<
 *     """Update distributed memory model ("PV-DM") by training on a single document, using a concatenation of the
 *      context window word vectors (rather than a sum or average).
 */
    values[9] = ((PyObject *)Py_None);
    values[10] = ((PyObject *)Py_None);
    values[11] = ((PyObject *)Py_None);
    values[12] = ((PyObject *)Py_None);
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
        CYTHON_FALLTHROUGH;
        case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
        CYTHON_FALLTHROUGH;
        case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
        CYTHON_FALLTHROUGH;
        case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
        CYTHON_FALLTHROUGH;
        case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
        CYTHON_FALLTHROUGH;
        case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
        CYTHON_FALLTHROUGH;
        case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
        CYTHON_FALLTHROUGH;
        case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
        CYTHON_FALLTHROUGH;
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_model)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doc_words)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("train_document_dm_concat", 0, 4, 13, 1); __PYX_ERR(0, 569, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_indexes)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("train_document_dm_concat", 0, 4, 13, 2); __PYX_ERR(0, 569, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_alpha)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("train_document_dm_concat", 0, 4, 13, 3); __PYX_ERR(0, 569, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  4:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_work);
          if (value) { values[4] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  5:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neu1);
          if (value) { values[5] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  6:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_doctags);
          if (value) { values[6] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  7:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_words);
          if (value) { values[7] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  8:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_hidden);
          if (value) { values[8] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  9:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_word_vectors);
          if (value) { values[9] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 10:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_words_lockf);
          if (value) { values[10] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 11:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_vectors);
          if (value) { values[11] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 12:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctags_lockf);
          if (value) { values[12] = value; kw_args--; }
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "train_document_dm_concat") < 0)) __PYX_ERR(0, 569, __pyx_L3_error)
      }
    } else {
      switch (PyTuple_GET_SIZE(__pyx_args)) {
        case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
        CYTHON_FALLTHROUGH;
        case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
        CYTHON_FALLTHROUGH;
        case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
        CYTHON_FALLTHROUGH;
        case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
        CYTHON_FALLTHROUGH;
        case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
        CYTHON_FALLTHROUGH;
        case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
        CYTHON_FALLTHROUGH;
        case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
        CYTHON_FALLTHROUGH;
        case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
        CYTHON_FALLTHROUGH;
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        break;
        default: goto __pyx_L5_argtuple_error;
      }
    }
    __pyx_v_model = values[0];
    __pyx_v_doc_words = values[1];
    __pyx_v_doctag_indexes = values[2];
    __pyx_v_alpha = values[3];
    __pyx_v_work = values[4];
    __pyx_v_neu1 = values[5];
    __pyx_v_learn_doctags = values[6];
    __pyx_v_learn_words = values[7];
    __pyx_v_learn_hidden = values[8];
    __pyx_v_word_vectors = values[9];
    __pyx_v_words_lockf = values[10];
    __pyx_v_doctag_vectors = values[11];
    __pyx_v_doctags_lockf = values[12];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("train_document_dm_concat", 0, 4, 13, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 569, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dm_concat", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gensim_6models_13doc2vec_inner_4train_document_dm_concat(__pyx_self, __pyx_v_model, __pyx_v_doc_words, __pyx_v_doctag_indexes, __pyx_v_alpha, __pyx_v_work, __pyx_v_neu1, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, __pyx_v_word_vectors, __pyx_v_words_lockf, __pyx_v_doctag_vectors, __pyx_v_doctags_lockf);

  /* "gensim/models/doc2vec_inner.pyx":569
 * 
 * 
 * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
 *                              learn_doctags=True, learn_words=True, learn_hidden=True,
 *                              word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_4train_document_dm_concat(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_words_lockf, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctags_lockf) {
  struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig __pyx_v_c;
  int __pyx_v_i;
  int __pyx_v_j;
  int __pyx_v_k;
  int __pyx_v_m;
  int __pyx_v_n;
  long __pyx_v_result;
  __pyx_t_5numpy_uint32_t *__pyx_v_vocab_sample_ints;
  PyObject *__pyx_v_vocab_codes = NULL;
  PyObject *__pyx_v_vocab_points = NULL;
  PyObject *__pyx_v_token = NULL;
  PyObject *__pyx_v_word_index = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config __pyx_t_2;
  Py_ssize_t __pyx_t_3;
  long __pyx_t_4;
  Py_ssize_t __pyx_t_5;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  PyObject *(*__pyx_t_8)(PyObject *);
  PyObject *__pyx_t_9 = NULL;
  PyObject *__pyx_t_10 = NULL;
  int __pyx_t_11;
  PyObject *__pyx_t_12 = NULL;
  int __pyx_t_13;
  __pyx_t_5numpy_uint32_t __pyx_t_14;
  int __pyx_t_15;
  int __pyx_t_16;
  int __pyx_t_17;
  int __pyx_t_18;
  int __pyx_t_19;
  int __pyx_t_20;
  long __pyx_t_21;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("train_document_dm_concat", 0);

  /* "gensim/models/doc2vec_inner.pyx":620
 * 
 *     cdef int i, j, k, m, n
 *     cdef long result = 0             # <<<<<<<<<<<<<<
 *     cdef np.uint32_t *vocab_sample_ints
 * 
 */
  __pyx_v_result = 0;

  /* "gensim/models/doc2vec_inner.pyx":623
 *     cdef np.uint32_t *vocab_sample_ints
 * 
 *     init_d2v_config(&c, model, alpha, learn_doctags, learn_words, learn_hidden, train_words=False, work=work, neu1=neu1,             # <<<<<<<<<<<<<<
 *                     word_vectors=word_vectors, words_lockf=words_lockf, doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf)
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
 */
  __pyx_t_2.__pyx_n = 7;
  __pyx_t_2.train_words = Py_False;
  __pyx_t_2.work = __pyx_v_work;
  __pyx_t_2.neu1 = __pyx_v_neu1;
  __pyx_t_2.word_vectors = __pyx_v_word_vectors;
  __pyx_t_2.words_lockf = __pyx_v_words_lockf;
  __pyx_t_2.doctag_vectors = __pyx_v_doctag_vectors;
  __pyx_t_2.doctags_lockf = __pyx_v_doctags_lockf;
  __pyx_t_1 = __pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config((&__pyx_v_c), __pyx_v_model, __pyx_v_alpha, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, &__pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 623, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gensim/models/doc2vec_inner.pyx":625
 *     init_d2v_config(&c, model, alpha, learn_doctags, learn_words, learn_hidden, train_words=False, work=work, neu1=neu1,
 *                     word_vectors=word_vectors, words_lockf=words_lockf, doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf)
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))             # <<<<<<<<<<<<<<
 *     if c.sample:
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 */
  __pyx_t_3 = PyObject_Length(__pyx_v_doctag_indexes); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 625, __pyx_L1_error)
  __pyx_t_4 = 0x2710;
  if (((__pyx_t_3 < __pyx_t_4) != 0)) {
    __pyx_t_5 = __pyx_t_3;
  } else {
    __pyx_t_5 = __pyx_t_4;
  }
  __pyx_v_c.doctag_len = ((int)__pyx_t_5);

  /* "gensim/models/doc2vec_inner.pyx":626
 *                     word_vectors=word_vectors, words_lockf=words_lockf, doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf)
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
 *     if c.sample:             # <<<<<<<<<<<<<<
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 *     if c.hs:
 */
  __pyx_t_6 = (__pyx_v_c.sample != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":627
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
 *     if c.sample:
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])             # <<<<<<<<<<<<<<
 *     if c.hs:
 *         vocab_codes = model.wv.expandos['code']
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 627, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 627, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_7, __pyx_n_u_sample_int); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 627, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 627, __pyx_L1_error)
    __pyx_v_vocab_sample_ints = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_1)));
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":626
 *                     word_vectors=word_vectors, words_lockf=words_lockf, doctag_vectors=doctag_vectors, doctags_lockf=doctags_lockf)
 *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
 *     if c.sample:             # <<<<<<<<<<<<<<
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 *     if c.hs:
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":628
 *     if c.sample:
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 *     if c.hs:             # <<<<<<<<<<<<<<
 *         vocab_codes = model.wv.expandos['code']
 *         vocab_points = model.wv.expandos['point']
 */
  __pyx_t_6 = (__pyx_v_c.hs != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":629
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 *     if c.hs:
 *         vocab_codes = model.wv.expandos['code']             # <<<<<<<<<<<<<<
 *         vocab_points = model.wv.expandos['point']
 * 
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 629, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 629, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_7, __pyx_n_u_code); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 629, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_v_vocab_codes = __pyx_t_1;
    __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":630
 *     if c.hs:
 *         vocab_codes = model.wv.expandos['code']
 *         vocab_points = model.wv.expandos['point']             # <<<<<<<<<<<<<<
 * 
 *     if c.doctag_len != c.expected_doctag_len:
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 630, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_expandos); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 630, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_t_7, __pyx_n_u_point); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 630, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_v_vocab_points = __pyx_t_1;
    __pyx_t_1 = 0;

    /* "gensim/models/doc2vec_inner.pyx":628
 *     if c.sample:
 *         vocab_sample_ints = <np.uint32_t *>np.PyArray_DATA(model.wv.expandos['sample_int'])
 *     if c.hs:             # <<<<<<<<<<<<<<
 *         vocab_codes = model.wv.expandos['code']
 *         vocab_points = model.wv.expandos['point']
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":632
 *         vocab_points = model.wv.expandos['point']
 * 
 *     if c.doctag_len != c.expected_doctag_len:             # <<<<<<<<<<<<<<
 *         return 0  # skip doc without expected number of tags
 * 
 */
  __pyx_t_6 = ((__pyx_v_c.doctag_len != __pyx_v_c.expected_doctag_len) != 0);
  if (__pyx_t_6) {

    /* "gensim/models/doc2vec_inner.pyx":633
 * 
 *     if c.doctag_len != c.expected_doctag_len:
 *         return 0  # skip doc without expected number of tags             # <<<<<<<<<<<<<<
 * 
 *     i = 0
 */
    __Pyx_XDECREF(__pyx_r);
    __Pyx_INCREF(__pyx_int_0);
    __pyx_r = __pyx_int_0;
    goto __pyx_L0;

    /* "gensim/models/doc2vec_inner.pyx":632
 *         vocab_points = model.wv.expandos['point']
 * 
 *     if c.doctag_len != c.expected_doctag_len:             # <<<<<<<<<<<<<<
 *         return 0  # skip doc without expected number of tags
 * 
 */
  }

  /* "gensim/models/doc2vec_inner.pyx":635
 *         return 0  # skip doc without expected number of tags
 * 
 *     i = 0             # <<<<<<<<<<<<<<
 *     for token in doc_words:
 *         word_index = model.wv.key_to_index.get(token, None)
 */
  __pyx_v_i = 0;

  /* "gensim/models/doc2vec_inner.pyx":636
 * 
 *     i = 0
 *     for token in doc_words:             # <<<<<<<<<<<<<<
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word
 */
  if (likely(PyList_CheckExact(__pyx_v_doc_words)) || PyTuple_CheckExact(__pyx_v_doc_words)) {
    __pyx_t_1 = __pyx_v_doc_words; __Pyx_INCREF(__pyx_t_1); __pyx_t_5 = 0;
    __pyx_t_8 = NULL;
  } else {
    __pyx_t_5 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_v_doc_words); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 636, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_8 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 636, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_8)) {
      if (likely(PyList_CheckExact(__pyx_t_1))) {
        if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_7 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 636, __pyx_L1_error)
        #else
        __pyx_t_7 = PySequence_ITEM(__pyx_t_1, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 636, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_7);
        #endif
      } else {
        if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_7 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 636, __pyx_L1_error)
        #else
        __pyx_t_7 = PySequence_ITEM(__pyx_t_1, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 636, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_7);
        #endif
      }
    } else {
      __pyx_t_7 = __pyx_t_8(__pyx_t_1);
      if (unlikely(!__pyx_t_7)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 636, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_7);
    }
    __Pyx_XDECREF_SET(__pyx_v_token, __pyx_t_7);
    __pyx_t_7 = 0;

    /* "gensim/models/doc2vec_inner.pyx":637
 *     i = 0
 *     for token in doc_words:
 *         word_index = model.wv.key_to_index.get(token, None)             # <<<<<<<<<<<<<<
 *         if word_index is None:  # shrink document to leave out word
 *             continue  # leaving i unchanged
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 637, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_key_to_index); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 637, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_10);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_get); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 637, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
    __pyx_t_10 = NULL;
    __pyx_t_11 = 0;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
      __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_9);
      if (likely(__pyx_t_10)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
        __Pyx_INCREF(__pyx_t_10);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_9, function);
        __pyx_t_11 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_9)) {
      PyObject *__pyx_temp[3] = {__pyx_t_10, __pyx_v_token, Py_None};
      __pyx_t_7 = __Pyx_PyFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_11, 2+__pyx_t_11); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 637, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_GOTREF(__pyx_t_7);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_9)) {
      PyObject *__pyx_temp[3] = {__pyx_t_10, __pyx_v_token, Py_None};
      __pyx_t_7 = __Pyx_PyCFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_11, 2+__pyx_t_11); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 637, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_GOTREF(__pyx_t_7);
    } else
    #endif
    {
      __pyx_t_12 = PyTuple_New(2+__pyx_t_11); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 637, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      if (__pyx_t_10) {
        __Pyx_GIVEREF(__pyx_t_10); PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_10); __pyx_t_10 = NULL;
      }
      __Pyx_INCREF(__pyx_v_token);
      __Pyx_GIVEREF(__pyx_v_token);
      PyTuple_SET_ITEM(__pyx_t_12, 0+__pyx_t_11, __pyx_v_token);
      __Pyx_INCREF(Py_None);
      __Pyx_GIVEREF(Py_None);
      PyTuple_SET_ITEM(__pyx_t_12, 1+__pyx_t_11, Py_None);
      __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_9, __pyx_t_12, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 637, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    }
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __Pyx_XDECREF_SET(__pyx_v_word_index, __pyx_t_7);
    __pyx_t_7 = 0;

    /* "gensim/models/doc2vec_inner.pyx":638
 *     for token in doc_words:
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word             # <<<<<<<<<<<<<<
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 */
    __pyx_t_6 = (__pyx_v_word_index == Py_None);
    __pyx_t_13 = (__pyx_t_6 != 0);
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":639
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word
 *             continue  # leaving i unchanged             # <<<<<<<<<<<<<<
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 *             continue
 */
      goto __pyx_L6_continue;

      /* "gensim/models/doc2vec_inner.pyx":638
 *     for token in doc_words:
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word             # <<<<<<<<<<<<<<
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":640
 *         if word_index is None:  # shrink document to leave out word
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):             # <<<<<<<<<<<<<<
 *             continue
 *         c.indexes[i] = word_index
 */
    __pyx_t_6 = (__pyx_v_c.sample != 0);
    if (__pyx_t_6) {
    } else {
      __pyx_t_13 = __pyx_t_6;
      goto __pyx_L10_bool_binop_done;
    }
    __pyx_t_3 = __Pyx_PyIndex_AsSsize_t(__pyx_v_word_index); if (unlikely((__pyx_t_3 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(0, 640, __pyx_L1_error)
    __pyx_t_6 = (((__pyx_v_vocab_sample_ints[__pyx_t_3]) < __pyx_f_6gensim_6models_14word2vec_inner_random_int32((&__pyx_v_c.next_random))) != 0);
    __pyx_t_13 = __pyx_t_6;
    __pyx_L10_bool_binop_done:;
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":641
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 *             continue             # <<<<<<<<<<<<<<
 *         c.indexes[i] = word_index
 *         if c.hs:
 */
      goto __pyx_L6_continue;

      /* "gensim/models/doc2vec_inner.pyx":640
 *         if word_index is None:  # shrink document to leave out word
 *             continue  # leaving i unchanged
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):             # <<<<<<<<<<<<<<
 *             continue
 *         c.indexes[i] = word_index
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":642
 *         if c.sample and vocab_sample_ints[word_index] < random_int32(&c.next_random):
 *             continue
 *         c.indexes[i] = word_index             # <<<<<<<<<<<<<<
 *         if c.hs:
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 */
    __pyx_t_14 = __Pyx_PyInt_As_npy_uint32(__pyx_v_word_index); if (unlikely((__pyx_t_14 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 642, __pyx_L1_error)
    (__pyx_v_c.indexes[__pyx_v_i]) = __pyx_t_14;

    /* "gensim/models/doc2vec_inner.pyx":643
 *             continue
 *         c.indexes[i] = word_index
 *         if c.hs:             # <<<<<<<<<<<<<<
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 */
    __pyx_t_13 = (__pyx_v_c.hs != 0);
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":644
 *         c.indexes[i] = word_index
 *         if c.hs:
 *             c.codelens[i] = <int>len(vocab_codes[word_index])             # <<<<<<<<<<<<<<
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])
 */
      if (unlikely(!__pyx_v_vocab_codes)) { __Pyx_RaiseUnboundLocalError("vocab_codes"); __PYX_ERR(0, 644, __pyx_L1_error) }
      __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_vocab_codes, __pyx_v_word_index); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 644, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_3 = PyObject_Length(__pyx_t_7); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 644, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      (__pyx_v_c.codelens[__pyx_v_i]) = ((int)__pyx_t_3);

      /* "gensim/models/doc2vec_inner.pyx":645
 *         if c.hs:
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])             # <<<<<<<<<<<<<<
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])
 *         result += 1
 */
      if (unlikely(!__pyx_v_vocab_codes)) { __Pyx_RaiseUnboundLocalError("vocab_codes"); __PYX_ERR(0, 645, __pyx_L1_error) }
      __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_vocab_codes, __pyx_v_word_index); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 645, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      if (!(likely(((__pyx_t_7) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_7, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 645, __pyx_L1_error)
      (__pyx_v_c.codes[__pyx_v_i]) = ((__pyx_t_5numpy_uint8_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_7)));
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

      /* "gensim/models/doc2vec_inner.pyx":646
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])             # <<<<<<<<<<<<<<
 *         result += 1
 *         i += 1
 */
      if (unlikely(!__pyx_v_vocab_points)) { __Pyx_RaiseUnboundLocalError("vocab_points"); __PYX_ERR(0, 646, __pyx_L1_error) }
      __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_vocab_points, __pyx_v_word_index); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 646, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      if (!(likely(((__pyx_t_7) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_7, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 646, __pyx_L1_error)
      (__pyx_v_c.points[__pyx_v_i]) = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_7)));
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

      /* "gensim/models/doc2vec_inner.pyx":643
 *             continue
 *         c.indexes[i] = word_index
 *         if c.hs:             # <<<<<<<<<<<<<<
 *             c.codelens[i] = <int>len(vocab_codes[word_index])
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":647
 *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(vocab_codes[word_index])
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])
 *         result += 1             # <<<<<<<<<<<<<<
 *         i += 1
 *         if i == MAX_DOCUMENT_LEN:
 */
    __pyx_v_result = (__pyx_v_result + 1);

    /* "gensim/models/doc2vec_inner.pyx":648
 *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(vocab_points[word_index])
 *         result += 1
 *         i += 1             # <<<<<<<<<<<<<<
 *         if i == MAX_DOCUMENT_LEN:
 *             break  # TODO: log warning, tally overflow?
 */
    __pyx_v_i = (__pyx_v_i + 1);

    /* "gensim/models/doc2vec_inner.pyx":649
 *         result += 1
 *         i += 1
 *         if i == MAX_DOCUMENT_LEN:             # <<<<<<<<<<<<<<
 *             break  # TODO: log warning, tally overflow?
 *     c.document_len = i
 */
    __pyx_t_13 = ((__pyx_v_i == 0x2710) != 0);
    if (__pyx_t_13) {

      /* "gensim/models/doc2vec_inner.pyx":650
 *         i += 1
 *         if i == MAX_DOCUMENT_LEN:
 *             break  # TODO: log warning, tally overflow?             # <<<<<<<<<<<<<<
 *     c.document_len = i
 * 
 */
      goto __pyx_L7_break;

      /* "gensim/models/doc2vec_inner.pyx":649
 *         result += 1
 *         i += 1
 *         if i == MAX_DOCUMENT_LEN:             # <<<<<<<<<<<<<<
 *             break  # TODO: log warning, tally overflow?
 *     c.document_len = i
 */
    }

    /* "gensim/models/doc2vec_inner.pyx":636
 * 
 *     i = 0
 *     for token in doc_words:             # <<<<<<<<<<<<<<
 *         word_index = model.wv.key_to_index.get(token, None)
 *         if word_index is None:  # shrink document to leave out word
 */
    __pyx_L6_continue:;
  }
  __pyx_L7_break:;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gensim/models/doc2vec_inner.pyx":651
 *         if i == MAX_DOCUMENT_LEN:
 *             break  # TODO: log warning, tally overflow?
 *     c.document_len = i             # <<<<<<<<<<<<<<
 * 
 *     for i in range(c.doctag_len):
 */
  __pyx_v_c.document_len = __pyx_v_i;

  /* "gensim/models/doc2vec_inner.pyx":653
 *     c.document_len = i
 * 
 *     for i in range(c.doctag_len):             # <<<<<<<<<<<<<<
 *         c.doctag_indexes[i] = doctag_indexes[i]
 *         result += 1
 */
  __pyx_t_11 = __pyx_v_c.doctag_len;
  __pyx_t_15 = __pyx_t_11;
  for (__pyx_t_16 = 0; __pyx_t_16 < __pyx_t_15; __pyx_t_16+=1) {
    __pyx_v_i = __pyx_t_16;

    /* "gensim/models/doc2vec_inner.pyx":654
 * 
 *     for i in range(c.doctag_len):
 *         c.doctag_indexes[i] = doctag_indexes[i]             # <<<<<<<<<<<<<<
 *         result += 1
 * 
 */
    __pyx_t_1 = __Pyx_GetItemInt(__pyx_v_doctag_indexes, __pyx_v_i, int, 1, __Pyx_PyInt_From_int, 0, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 654, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_14 = __Pyx_PyInt_As_npy_uint32(__pyx_t_1); if (unlikely((__pyx_t_14 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 654, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    (__pyx_v_c.doctag_indexes[__pyx_v_i]) = __pyx_t_14;

    /* "gensim/models/doc2vec_inner.pyx":655
 *     for i in range(c.doctag_len):
 *         c.doctag_indexes[i] = doctag_indexes[i]
 *         result += 1             # <<<<<<<<<<<<<<
 * 
 *     # release GIL & train on the document
 */
    __pyx_v_result = (__pyx_v_result + 1);
  }

  /* "gensim/models/doc2vec_inner.pyx":658
 * 
 *     # release GIL & train on the document
 *     with nogil:             # <<<<<<<<<<<<<<
 *         for i in range(c.document_len):
 *             j = i - c.window      # negative OK: will pad with null word
 */
  {
      #ifdef WITH_THREAD
      PyThreadState *_save;
      Py_UNBLOCK_THREADS
      __Pyx_FastGIL_Remember();
      #endif
      /*try:*/ {

        /* "gensim/models/doc2vec_inner.pyx":659
 *     # release GIL & train on the document
 *     with nogil:
 *         for i in range(c.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_11 = __pyx_v_c.document_len;
        __pyx_t_15 = __pyx_t_11;
        for (__pyx_t_16 = 0; __pyx_t_16 < __pyx_t_15; __pyx_t_16+=1) {
          __pyx_v_i = __pyx_t_16;

          /* "gensim/models/doc2vec_inner.pyx":660
 *     with nogil:
 *         for i in range(c.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_inner.pyx":661
 *         for i in range(c.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_inner.pyx":664
 * 
 *             # compose l1 & clear work
 *             for m in range(c.doctag_len):             # <<<<<<<<<<<<<<
 *                 # doc vector(s)
 *                 memcpy(&c.neu1[m * c.vector_size], &c.doctag_vectors[c.doctag_indexes[m] * c.vector_size],
 */
          __pyx_t_17 = __pyx_v_c.doctag_len;
          __pyx_t_18 = __pyx_t_17;
          for (__pyx_t_19 = 0; __pyx_t_19 < __pyx_t_18; __pyx_t_19+=1) {
            __pyx_v_m = __pyx_t_19;

            /* "gensim/models/doc2vec_inner.pyx":666
 *             for m in range(c.doctag_len):
 *                 # doc vector(s)
 *                 memcpy(&c.neu1[m * c.vector_size], &c.doctag_vectors[c.doctag_indexes[m] * c.vector_size],             # <<<<<<<<<<<<<<
 *                        c.vector_size * cython.sizeof(REAL_t))
 *             n = 0
 */
            (void)(memcpy((&(__pyx_v_c.neu1[(__pyx_v_m * __pyx_v_c.vector_size)])), (&(__pyx_v_c.doctag_vectors[((__pyx_v_c.doctag_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_inner.pyx":668
 *                 memcpy(&c.neu1[m * c.vector_size], &c.doctag_vectors[c.doctag_indexes[m] * 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_inner.pyx":669
 *                        c.vector_size * cython.sizeof(REAL_t))
 *             n = 0
 *             for m in range(j, k):             # <<<<<<<<<<<<<<
 *                 # word vectors in window
 *                 if m == i:
 */
          __pyx_t_17 = __pyx_v_k;
          __pyx_t_18 = __pyx_t_17;
          for (__pyx_t_19 = __pyx_v_j; __pyx_t_19 < __pyx_t_18; __pyx_t_19+=1) {
            __pyx_v_m = __pyx_t_19;

            /* "gensim/models/doc2vec_inner.pyx":671
 *             for m in range(j, k):
 *                 # word vectors in window
 *                 if m == i:             # <<<<<<<<<<<<<<
 *                     continue
 *                 if m < 0 or m >= c.document_len:
 */
            __pyx_t_13 = ((__pyx_v_m == __pyx_v_i) != 0);
            if (__pyx_t_13) {

              /* "gensim/models/doc2vec_inner.pyx":672
 *                 # word vectors in window
 *                 if m == i:
 *                     continue             # <<<<<<<<<<<<<<
 *                 if m < 0 or m >= c.document_len:
 *                     c.window_indexes[n] = c.null_word_index
 */
              goto __pyx_L23_continue;

              /* "gensim/models/doc2vec_inner.pyx":671
 *             for m in range(j, k):
 *                 # word vectors in window
 *                 if m == i:             # <<<<<<<<<<<<<<
 *                     continue
 *                 if m < 0 or m >= c.document_len:
 */
            }

            /* "gensim/models/doc2vec_inner.pyx":673
 *                 if m == i:
 *                     continue
 *                 if m < 0 or m >= c.document_len:             # <<<<<<<<<<<<<<
 *                     c.window_indexes[n] = c.null_word_index
 *                 else:
 */
            __pyx_t_6 = ((__pyx_v_m < 0) != 0);
            if (!__pyx_t_6) {
            } else {
              __pyx_t_13 = __pyx_t_6;
              goto __pyx_L27_bool_binop_done;
            }
            __pyx_t_6 = ((__pyx_v_m >= __pyx_v_c.document_len) != 0);
            __pyx_t_13 = __pyx_t_6;
            __pyx_L27_bool_binop_done:;
            if (__pyx_t_13) {

              /* "gensim/models/doc2vec_inner.pyx":674
 *                     continue
 *                 if m < 0 or m >= c.document_len:
 *                     c.window_indexes[n] = c.null_word_index             # <<<<<<<<<<<<<<
 *                 else:
 *                     c.window_indexes[n] = c.indexes[m]
 */
              __pyx_t_20 = __pyx_v_c.null_word_index;
              (__pyx_v_c.window_indexes[__pyx_v_n]) = __pyx_t_20;

              /* "gensim/models/doc2vec_inner.pyx":673
 *                 if m == i:
 *                     continue
 *                 if m < 0 or m >= c.document_len:             # <<<<<<<<<<<<<<
 *                     c.window_indexes[n] = c.null_word_index
 *                 else:
 */
              goto __pyx_L26;
            }

            /* "gensim/models/doc2vec_inner.pyx":676
 *                     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_L26:;

            /* "gensim/models/doc2vec_inner.pyx":677
 *                 else:
 *                     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_v_n = (__pyx_v_n + 1);
            __pyx_L23_continue:;
          }

          /* "gensim/models/doc2vec_inner.pyx":678
 *                     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],
 *                        c.vector_size * cython.sizeof(REAL_t))
 */
          __pyx_t_4 = (2 * __pyx_v_c.window);
          __pyx_t_21 = __pyx_t_4;
          for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_21; __pyx_t_17+=1) {
            __pyx_v_m = __pyx_t_17;

            /* "gensim/models/doc2vec_inner.pyx":679
 *                 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))
 *             memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t))  # work to accumulate l1 error
 */
            (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_inner.pyx":681
 *                 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))
 *             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_inner.pyx":683
 *             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, c.alpha, c.work,
 */
          __pyx_t_13 = (__pyx_v_c.hs != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":684
 * 
 *             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_inner.pyx":683
 *             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, c.alpha, c.work,
 */
          }

          /* "gensim/models/doc2vec_inner.pyx":687
 *                                      c.neu1, c.syn1, 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, c.indexes[i], c.alpha, c.work,
 */
          __pyx_t_13 = (__pyx_v_c.negative != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":688
 *                                      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, 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_inner.pyx":687
 *                                      c.neu1, c.syn1, 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, c.indexes[i], c.alpha, c.work,
 */
          }

          /* "gensim/models/doc2vec_inner.pyx":692
 *                                                       c.layer1_size, c.vector_size, c.learn_hidden)
 * 
 *             if c.learn_doctags:             # <<<<<<<<<<<<<<
 *                 for m in range(c.doctag_len):
 *                     our_saxpy(&c.vector_size, &c.doctags_lockf[c.doctag_indexes[m] % c.doctags_lockf_len], &c.work[m * c.vector_size],
 */
          __pyx_t_13 = (__pyx_v_c.learn_doctags != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":693
 * 
 *             if c.learn_doctags:
 *                 for m in range(c.doctag_len):             # <<<<<<<<<<<<<<
 *                     our_saxpy(&c.vector_size, &c.doctags_lockf[c.doctag_indexes[m] % c.doctags_lockf_len], &c.work[m * c.vector_size],
 *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.vector_size], &ONE)
 */
            __pyx_t_17 = __pyx_v_c.doctag_len;
            __pyx_t_18 = __pyx_t_17;
            for (__pyx_t_19 = 0; __pyx_t_19 < __pyx_t_18; __pyx_t_19+=1) {
              __pyx_v_m = __pyx_t_19;

              /* "gensim/models/doc2vec_inner.pyx":694
 *             if c.learn_doctags:
 *                 for m in range(c.doctag_len):
 *                     our_saxpy(&c.vector_size, &c.doctags_lockf[c.doctag_indexes[m] % c.doctags_lockf_len], &c.work[m * c.vector_size],             # <<<<<<<<<<<<<<
 *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.vector_size], &ONE)
 *             if c.learn_words:
 */
              __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.vector_size), (&(__pyx_v_c.doctags_lockf[((__pyx_v_c.doctag_indexes[__pyx_v_m]) % __pyx_v_c.doctags_lockf_len)])), (&(__pyx_v_c.work[(__pyx_v_m * __pyx_v_c.vector_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_c.doctag_vectors[((__pyx_v_c.doctag_indexes[__pyx_v_m]) * __pyx_v_c.vector_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
            }

            /* "gensim/models/doc2vec_inner.pyx":692
 *                                                       c.layer1_size, c.vector_size, c.learn_hidden)
 * 
 *             if c.learn_doctags:             # <<<<<<<<<<<<<<
 *                 for m in range(c.doctag_len):
 *                     our_saxpy(&c.vector_size, &c.doctags_lockf[c.doctag_indexes[m] % c.doctags_lockf_len], &c.work[m * c.vector_size],
 */
          }

          /* "gensim/models/doc2vec_inner.pyx":696
 *                     our_saxpy(&c.vector_size, &c.doctags_lockf[c.doctag_indexes[m] % c.doctags_lockf_len], &c.work[m * c.vector_size],
 *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * 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_13 = (__pyx_v_c.learn_words != 0);
          if (__pyx_t_13) {

            /* "gensim/models/doc2vec_inner.pyx":697
 *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * 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],
 *                               &ONE, &c.word_vectors[c.window_indexes[m] * c.vector_size], &ONE)
 */
            __pyx_t_4 = (2 * __pyx_v_c.window);
            __pyx_t_21 = __pyx_t_4;
            for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_21; __pyx_t_17+=1) {
              __pyx_v_m = __pyx_t_17;

              /* "gensim/models/doc2vec_inner.pyx":698
 *             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_13doc2vec_inner_ONE), (&(__pyx_v_c.word_vectors[((__pyx_v_c.window_indexes[__pyx_v_m]) * __pyx_v_c.vector_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
            }

            /* "gensim/models/doc2vec_inner.pyx":696
 *                     our_saxpy(&c.vector_size, &c.doctags_lockf[c.doctag_indexes[m] % c.doctags_lockf_len], &c.work[m * c.vector_size],
 *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * 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],
 */
          }
        }
      }

      /* "gensim/models/doc2vec_inner.pyx":658
 * 
 *     # release GIL & train on the document
 *     with nogil:             # <<<<<<<<<<<<<<
 *         for i in range(c.document_len):
 *             j = i - c.window      # negative OK: will pad with null word
 */
      /*finally:*/ {
        /*normal exit:*/{
          #ifdef WITH_THREAD
          __Pyx_FastGIL_Forget();
          Py_BLOCK_THREADS
          #endif
          goto __pyx_L18;
        }
        __pyx_L18:;
      }
  }

  /* "gensim/models/doc2vec_inner.pyx":701
 *                               &ONE, &c.word_vectors[c.window_indexes[m] * c.vector_size], &ONE)
 * 
 *     return result             # <<<<<<<<<<<<<<
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_PyInt_From_long(__pyx_v_result); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 701, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gensim/models/doc2vec_inner.pyx":569
 * 
 * 
 * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
 *                              learn_doctags=True, learn_words=True, learn_hidden=True,
 *                              word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_9);
  __Pyx_XDECREF(__pyx_t_10);
  __Pyx_XDECREF(__pyx_t_12);
  __Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dm_concat", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_vocab_codes);
  __Pyx_XDECREF(__pyx_v_vocab_points);
  __Pyx_XDECREF(__pyx_v_token);
  __Pyx_XDECREF(__pyx_v_word_index);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":734
 * ctypedef npy_cdouble     complex_t
 * 
 * cdef inline object PyArray_MultiIterNew1(a):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(1, <void*>a)
 * 
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__pyx_v_a) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":735
 * 
 * cdef inline object PyArray_MultiIterNew1(a):
 *     return PyArray_MultiIterNew(1, <void*>a)             # <<<<<<<<<<<<<<
 * 
 * cdef inline object PyArray_MultiIterNew2(a, b):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyArray_MultiIterNew(1, ((void *)__pyx_v_a)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 735, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":734
 * ctypedef npy_cdouble     complex_t
 * 
 * cdef inline object PyArray_MultiIterNew1(a):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(1, <void*>a)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("numpy.PyArray_MultiIterNew1", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = 0;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":737
 *     return PyArray_MultiIterNew(1, <void*>a)
 * 
 * cdef inline object PyArray_MultiIterNew2(a, b):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
 * 
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__pyx_v_a, PyObject *__pyx_v_b) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":738
 * 
 * cdef inline object PyArray_MultiIterNew2(a, b):
 *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)             # <<<<<<<<<<<<<<
 * 
 * cdef inline object PyArray_MultiIterNew3(a, b, c):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyArray_MultiIterNew(2, ((void *)__pyx_v_a), ((void *)__pyx_v_b)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 738, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":737
 *     return PyArray_MultiIterNew(1, <void*>a)
 * 
 * cdef inline object PyArray_MultiIterNew2(a, b):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("numpy.PyArray_MultiIterNew2", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = 0;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":740
 *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
 * 
 * cdef inline object PyArray_MultiIterNew3(a, b, c):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
 * 
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":741
 * 
 * cdef inline object PyArray_MultiIterNew3(a, b, c):
 *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)             # <<<<<<<<<<<<<<
 * 
 * cdef inline object PyArray_MultiIterNew4(a, b, c, d):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyArray_MultiIterNew(3, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 741, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":740
 *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
 * 
 * cdef inline object PyArray_MultiIterNew3(a, b, c):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("numpy.PyArray_MultiIterNew3", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = 0;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":743
 *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
 * 
 * cdef inline object PyArray_MultiIterNew4(a, b, c, d):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
 * 
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":744
 * 
 * cdef inline object PyArray_MultiIterNew4(a, b, c, d):
 *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)             # <<<<<<<<<<<<<<
 * 
 * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyArray_MultiIterNew(4, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 744, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":743
 *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
 * 
 * cdef inline object PyArray_MultiIterNew4(a, b, c, d):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("numpy.PyArray_MultiIterNew4", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = 0;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":746
 *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
 * 
 * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
 * 
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d, PyObject *__pyx_v_e) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":747
 * 
 * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
 *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)             # <<<<<<<<<<<<<<
 * 
 * cdef inline tuple PyDataType_SHAPE(dtype d):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyArray_MultiIterNew(5, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d), ((void *)__pyx_v_e)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 747, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":746
 *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
 * 
 * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("numpy.PyArray_MultiIterNew5", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = 0;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":749
 *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
 * 
 * cdef inline tuple PyDataType_SHAPE(dtype d):             # <<<<<<<<<<<<<<
 *     if PyDataType_HASSUBARRAY(d):
 *         return <tuple>d.subarray.shape
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__pyx_v_d) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  int __pyx_t_1;
  __Pyx_RefNannySetupContext("PyDataType_SHAPE", 0);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":750
 * 
 * cdef inline tuple PyDataType_SHAPE(dtype d):
 *     if PyDataType_HASSUBARRAY(d):             # <<<<<<<<<<<<<<
 *         return <tuple>d.subarray.shape
 *     else:
 */
  __pyx_t_1 = (PyDataType_HASSUBARRAY(__pyx_v_d) != 0);
  if (__pyx_t_1) {

    /* "../_h_env/lib/site-packages/numpy/__init__.pxd":751
 * cdef inline tuple PyDataType_SHAPE(dtype d):
 *     if PyDataType_HASSUBARRAY(d):
 *         return <tuple>d.subarray.shape             # <<<<<<<<<<<<<<
 *     else:
 *         return ()
 */
    __Pyx_XDECREF(__pyx_r);
    __Pyx_INCREF(((PyObject*)__pyx_v_d->subarray->shape));
    __pyx_r = ((PyObject*)__pyx_v_d->subarray->shape);
    goto __pyx_L0;

    /* "../_h_env/lib/site-packages/numpy/__init__.pxd":750
 * 
 * cdef inline tuple PyDataType_SHAPE(dtype d):
 *     if PyDataType_HASSUBARRAY(d):             # <<<<<<<<<<<<<<
 *         return <tuple>d.subarray.shape
 *     else:
 */
  }

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":753
 *         return <tuple>d.subarray.shape
 *     else:
 *         return ()             # <<<<<<<<<<<<<<
 * 
 * 
 */
  /*else*/ {
    __Pyx_XDECREF(__pyx_r);
    __Pyx_INCREF(__pyx_empty_tuple);
    __pyx_r = __pyx_empty_tuple;
    goto __pyx_L0;
  }

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":749
 *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
 * 
 * cdef inline tuple PyDataType_SHAPE(dtype d):             # <<<<<<<<<<<<<<
 *     if PyDataType_HASSUBARRAY(d):
 *         return <tuple>d.subarray.shape
 */

  /* function exit code */
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":868
 *     int _import_umath() except -1
 * 
 * cdef inline void set_array_base(ndarray arr, object base):             # <<<<<<<<<<<<<<
 *     Py_INCREF(base) # important to do this before stealing the reference below!
 *     PyArray_SetBaseObject(arr, base)
 */

static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_arr, PyObject *__pyx_v_base) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("set_array_base", 0);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":869
 * 
 * cdef inline void set_array_base(ndarray arr, object base):
 *     Py_INCREF(base) # important to do this before stealing the reference below!             # <<<<<<<<<<<<<<
 *     PyArray_SetBaseObject(arr, base)
 * 
 */
  Py_INCREF(__pyx_v_base);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":870
 * cdef inline void set_array_base(ndarray arr, object base):
 *     Py_INCREF(base) # important to do this before stealing the reference below!
 *     PyArray_SetBaseObject(arr, base)             # <<<<<<<<<<<<<<
 * 
 * cdef inline object get_array_base(ndarray arr):
 */
  (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base));

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":868
 *     int _import_umath() except -1
 * 
 * cdef inline void set_array_base(ndarray arr, object base):             # <<<<<<<<<<<<<<
 *     Py_INCREF(base) # important to do this before stealing the reference below!
 *     PyArray_SetBaseObject(arr, base)
 */

  /* function exit code */
  __Pyx_RefNannyFinishContext();
}

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":872
 *     PyArray_SetBaseObject(arr, base)
 * 
 * cdef inline object get_array_base(ndarray arr):             # <<<<<<<<<<<<<<
 *     base = PyArray_BASE(arr)
 *     if base is NULL:
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__pyx_v_arr) {
  PyObject *__pyx_v_base;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  int __pyx_t_1;
  __Pyx_RefNannySetupContext("get_array_base", 0);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":873
 * 
 * cdef inline object get_array_base(ndarray arr):
 *     base = PyArray_BASE(arr)             # <<<<<<<<<<<<<<
 *     if base is NULL:
 *         return None
 */
  __pyx_v_base = PyArray_BASE(__pyx_v_arr);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":874
 * cdef inline object get_array_base(ndarray arr):
 *     base = PyArray_BASE(arr)
 *     if base is NULL:             # <<<<<<<<<<<<<<
 *         return None
 *     return <object>base
 */
  __pyx_t_1 = ((__pyx_v_base == NULL) != 0);
  if (__pyx_t_1) {

    /* "../_h_env/lib/site-packages/numpy/__init__.pxd":875
 *     base = PyArray_BASE(arr)
 *     if base is NULL:
 *         return None             # <<<<<<<<<<<<<<
 *     return <object>base
 * 
 */
    __Pyx_XDECREF(__pyx_r);
    __pyx_r = Py_None; __Pyx_INCREF(Py_None);
    goto __pyx_L0;

    /* "../_h_env/lib/site-packages/numpy/__init__.pxd":874
 * cdef inline object get_array_base(ndarray arr):
 *     base = PyArray_BASE(arr)
 *     if base is NULL:             # <<<<<<<<<<<<<<
 *         return None
 *     return <object>base
 */
  }

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":876
 *     if base is NULL:
 *         return None
 *     return <object>base             # <<<<<<<<<<<<<<
 * 
 * # Versions of the import_* functions which are more suitable for
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(((PyObject *)__pyx_v_base));
  __pyx_r = ((PyObject *)__pyx_v_base);
  goto __pyx_L0;

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":872
 *     PyArray_SetBaseObject(arr, base)
 * 
 * cdef inline object get_array_base(ndarray arr):             # <<<<<<<<<<<<<<
 *     base = PyArray_BASE(arr)
 *     if base is NULL:
 */

  /* function exit code */
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":880
 * # Versions of the import_* functions which are more suitable for
 * # Cython code.
 * cdef inline int import_array() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         __pyx_import_array()
 */

static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
  int __pyx_r;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  int __pyx_t_4;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("import_array", 0);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":881
 * # Cython code.
 * cdef inline int import_array() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         __pyx_import_array()
 *     except Exception:
 */
  {
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3);
    __Pyx_XGOTREF(__pyx_t_1);
    __Pyx_XGOTREF(__pyx_t_2);
    __Pyx_XGOTREF(__pyx_t_3);
    /*try:*/ {

      /* "../_h_env/lib/site-packages/numpy/__init__.pxd":882
 * cdef inline int import_array() except -1:
 *     try:
 *         __pyx_import_array()             # <<<<<<<<<<<<<<
 *     except Exception:
 *         raise ImportError("numpy.core.multiarray failed to import")
 */
      __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 882, __pyx_L3_error)

      /* "../_h_env/lib/site-packages/numpy/__init__.pxd":881
 * # Cython code.
 * cdef inline int import_array() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         __pyx_import_array()
 *     except Exception:
 */
    }
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
    goto __pyx_L8_try_end;
    __pyx_L3_error:;

    /* "../_h_env/lib/site-packages/numpy/__init__.pxd":883
 *     try:
 *         __pyx_import_array()
 *     except Exception:             # <<<<<<<<<<<<<<
 *         raise ImportError("numpy.core.multiarray failed to import")
 * 
 */
    __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0])));
    if (__pyx_t_4) {
      __Pyx_AddTraceback("numpy.import_array", __pyx_clineno, __pyx_lineno, __pyx_filename);
      if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 883, __pyx_L5_except_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_GOTREF(__pyx_t_6);
      __Pyx_GOTREF(__pyx_t_7);

      /* "../_h_env/lib/site-packages/numpy/__init__.pxd":884
 *         __pyx_import_array()
 *     except Exception:
 *         raise ImportError("numpy.core.multiarray failed to import")             # <<<<<<<<<<<<<<
 * 
 * cdef inline int import_umath() except -1:
 */
      __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__3, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 884, __pyx_L5_except_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_Raise(__pyx_t_8, 0, 0, 0);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __PYX_ERR(1, 884, __pyx_L5_except_error)
    }
    goto __pyx_L5_except_error;
    __pyx_L5_except_error:;

    /* "../_h_env/lib/site-packages/numpy/__init__.pxd":881
 * # Cython code.
 * cdef inline int import_array() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         __pyx_import_array()
 *     except Exception:
 */
    __Pyx_XGIVEREF(__pyx_t_1);
    __Pyx_XGIVEREF(__pyx_t_2);
    __Pyx_XGIVEREF(__pyx_t_3);
    __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3);
    goto __pyx_L1_error;
    __pyx_L8_try_end:;
  }

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":880
 * # Versions of the import_* functions which are more suitable for
 * # Cython code.
 * cdef inline int import_array() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         __pyx_import_array()
 */

  /* function exit code */
  __pyx_r = 0;
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_AddTraceback("numpy.import_array", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = -1;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":886
 *         raise ImportError("numpy.core.multiarray failed to import")
 * 
 * cdef inline int import_umath() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         _import_umath()
 */

static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
  int __pyx_r;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  int __pyx_t_4;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("import_umath", 0);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":887
 * 
 * cdef inline int import_umath() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_umath()
 *     except Exception:
 */
  {
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3);
    __Pyx_XGOTREF(__pyx_t_1);
    __Pyx_XGOTREF(__pyx_t_2);
    __Pyx_XGOTREF(__pyx_t_3);
    /*try:*/ {

      /* "../_h_env/lib/site-packages/numpy/__init__.pxd":888
 * cdef inline int import_umath() except -1:
 *     try:
 *         _import_umath()             # <<<<<<<<<<<<<<
 *     except Exception:
 *         raise ImportError("numpy.core.umath failed to import")
 */
      __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 888, __pyx_L3_error)

      /* "../_h_env/lib/site-packages/numpy/__init__.pxd":887
 * 
 * cdef inline int import_umath() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_umath()
 *     except Exception:
 */
    }
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
    goto __pyx_L8_try_end;
    __pyx_L3_error:;

    /* "../_h_env/lib/site-packages/numpy/__init__.pxd":889
 *     try:
 *         _import_umath()
 *     except Exception:             # <<<<<<<<<<<<<<
 *         raise ImportError("numpy.core.umath failed to import")
 * 
 */
    __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0])));
    if (__pyx_t_4) {
      __Pyx_AddTraceback("numpy.import_umath", __pyx_clineno, __pyx_lineno, __pyx_filename);
      if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 889, __pyx_L5_except_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_GOTREF(__pyx_t_6);
      __Pyx_GOTREF(__pyx_t_7);

      /* "../_h_env/lib/site-packages/numpy/__init__.pxd":890
 *         _import_umath()
 *     except Exception:
 *         raise ImportError("numpy.core.umath failed to import")             # <<<<<<<<<<<<<<
 * 
 * cdef inline int import_ufunc() except -1:
 */
      __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__4, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 890, __pyx_L5_except_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_Raise(__pyx_t_8, 0, 0, 0);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __PYX_ERR(1, 890, __pyx_L5_except_error)
    }
    goto __pyx_L5_except_error;
    __pyx_L5_except_error:;

    /* "../_h_env/lib/site-packages/numpy/__init__.pxd":887
 * 
 * cdef inline int import_umath() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_umath()
 *     except Exception:
 */
    __Pyx_XGIVEREF(__pyx_t_1);
    __Pyx_XGIVEREF(__pyx_t_2);
    __Pyx_XGIVEREF(__pyx_t_3);
    __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3);
    goto __pyx_L1_error;
    __pyx_L8_try_end:;
  }

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":886
 *         raise ImportError("numpy.core.multiarray failed to import")
 * 
 * cdef inline int import_umath() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         _import_umath()
 */

  /* function exit code */
  __pyx_r = 0;
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_AddTraceback("numpy.import_umath", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = -1;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../_h_env/lib/site-packages/numpy/__init__.pxd":892
 *         raise ImportError("numpy.core.umath failed to import")
 * 
 * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         _import_umath()
 */

static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
  int __pyx_r;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  int __pyx_t_4;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("import_ufunc", 0);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":893
 * 
 * cdef inline int import_ufunc() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_umath()
 *     except Exception:
 */
  {
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3);
    __Pyx_XGOTREF(__pyx_t_1);
    __Pyx_XGOTREF(__pyx_t_2);
    __Pyx_XGOTREF(__pyx_t_3);
    /*try:*/ {

      /* "../_h_env/lib/site-packages/numpy/__init__.pxd":894
 * cdef inline int import_ufunc() except -1:
 *     try:
 *         _import_umath()             # <<<<<<<<<<<<<<
 *     except Exception:
 *         raise ImportError("numpy.core.umath failed to import")
 */
      __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 894, __pyx_L3_error)

      /* "../_h_env/lib/site-packages/numpy/__init__.pxd":893
 * 
 * cdef inline int import_ufunc() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_umath()
 *     except Exception:
 */
    }
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
    goto __pyx_L8_try_end;
    __pyx_L3_error:;

    /* "../_h_env/lib/site-packages/numpy/__init__.pxd":895
 *     try:
 *         _import_umath()
 *     except Exception:             # <<<<<<<<<<<<<<
 *         raise ImportError("numpy.core.umath failed to import")
 * 
 */
    __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0])));
    if (__pyx_t_4) {
      __Pyx_AddTraceback("numpy.import_ufunc", __pyx_clineno, __pyx_lineno, __pyx_filename);
      if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 895, __pyx_L5_except_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_GOTREF(__pyx_t_6);
      __Pyx_GOTREF(__pyx_t_7);

      /* "../_h_env/lib/site-packages/numpy/__init__.pxd":896
 *         _import_umath()
 *     except Exception:
 *         raise ImportError("numpy.core.umath failed to import")             # <<<<<<<<<<<<<<
 * 
 * cdef extern from *:
 */
      __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__4, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 896, __pyx_L5_except_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_Raise(__pyx_t_8, 0, 0, 0);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __PYX_ERR(1, 896, __pyx_L5_except_error)
    }
    goto __pyx_L5_except_error;
    __pyx_L5_except_error:;

    /* "../_h_env/lib/site-packages/numpy/__init__.pxd":893
 * 
 * cdef inline int import_ufunc() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_umath()
 *     except Exception:
 */
    __Pyx_XGIVEREF(__pyx_t_1);
    __Pyx_XGIVEREF(__pyx_t_2);
    __Pyx_XGIVEREF(__pyx_t_3);
    __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3);
    goto __pyx_L1_error;
    __pyx_L8_try_end:;
  }

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":892
 *         raise ImportError("numpy.core.umath failed to import")
 * 
 * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         _import_umath()
 */

  /* function exit code */
  __pyx_r = 0;
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_AddTraceback("numpy.import_ufunc", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = -1;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyMethodDef __pyx_methods[] = {
  {0, 0, 0, 0}
};

#if PY_MAJOR_VERSION >= 3
#if CYTHON_PEP489_MULTI_PHASE_INIT
static PyObject* __pyx_pymod_create(PyObject *spec, PyModuleDef *def); /*proto*/
static int __pyx_pymod_exec_doc2vec_inner(PyObject* module); /*proto*/
static PyModuleDef_Slot __pyx_moduledef_slots[] = {
  {Py_mod_create, (void*)__pyx_pymod_create},
  {Py_mod_exec, (void*)__pyx_pymod_exec_doc2vec_inner},
  {0, NULL}
};
#endif

static struct PyModuleDef __pyx_moduledef = {
    PyModuleDef_HEAD_INIT,
    "doc2vec_inner",
    __pyx_k_Optimized_cython_functions_for_t, /* m_doc */
  #if CYTHON_PEP489_MULTI_PHASE_INIT
    0, /* m_size */
  #else
    -1, /* m_size */
  #endif
    __pyx_methods /* m_methods */,
  #if CYTHON_PEP489_MULTI_PHASE_INIT
    __pyx_moduledef_slots, /* m_slots */
  #else
    NULL, /* m_reload */
  #endif
    NULL, /* m_traverse */
    NULL, /* m_clear */
    NULL /* m_free */
};
#endif
#ifndef CYTHON_SMALL_CODE
#if defined(__clang__)
    #define CYTHON_SMALL_CODE
#elif defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 3))
    #define CYTHON_SMALL_CODE __attribute__((cold))
#else
    #define CYTHON_SMALL_CODE
#endif
#endif

static __Pyx_StringTabEntry __pyx_string_tab[] = {
  {&__pyx_kp_u_, __pyx_k_, sizeof(__pyx_k_), 0, 1, 0, 0},
  {&__pyx_n_s_ImportError, __pyx_k_ImportError, sizeof(__pyx_k_ImportError), 0, 0, 1, 1},
  {&__pyx_n_s_REAL, __pyx_k_REAL, sizeof(__pyx_k_REAL), 0, 0, 1, 1},
  {&__pyx_n_s__5, __pyx_k__5, sizeof(__pyx_k__5), 0, 0, 1, 1},
  {&__pyx_n_s_alpha, __pyx_k_alpha, sizeof(__pyx_k_alpha), 0, 0, 1, 1},
  {&__pyx_n_s_c, __pyx_k_c, sizeof(__pyx_k_c), 0, 0, 1, 1},
  {&__pyx_n_s_cbow_mean, __pyx_k_cbow_mean, sizeof(__pyx_k_cbow_mean), 0, 0, 1, 1},
  {&__pyx_n_s_cline_in_traceback, __pyx_k_cline_in_traceback, sizeof(__pyx_k_cline_in_traceback), 0, 0, 1, 1},
  {&__pyx_n_u_code, __pyx_k_code, sizeof(__pyx_k_code), 0, 1, 0, 1},
  {&__pyx_n_s_count, __pyx_k_count, sizeof(__pyx_k_count), 0, 0, 1, 1},
  {&__pyx_n_s_cum_table, __pyx_k_cum_table, sizeof(__pyx_k_cum_table), 0, 0, 1, 1},
  {&__pyx_n_s_dm_tag_count, __pyx_k_dm_tag_count, sizeof(__pyx_k_dm_tag_count), 0, 0, 1, 1},
  {&__pyx_n_s_doc_words, __pyx_k_doc_words, sizeof(__pyx_k_doc_words), 0, 0, 1, 1},
  {&__pyx_n_s_doctag_indexes, __pyx_k_doctag_indexes, sizeof(__pyx_k_doctag_indexes), 0, 0, 1, 1},
  {&__pyx_n_s_doctag_vectors, __pyx_k_doctag_vectors, sizeof(__pyx_k_doctag_vectors), 0, 0, 1, 1},
  {&__pyx_n_s_doctags_lockf, __pyx_k_doctags_lockf, sizeof(__pyx_k_doctags_lockf), 0, 0, 1, 1},
  {&__pyx_n_s_dtype, __pyx_k_dtype, sizeof(__pyx_k_dtype), 0, 0, 1, 1},
  {&__pyx_n_s_dv, __pyx_k_dv, sizeof(__pyx_k_dv), 0, 0, 1, 1},
  {&__pyx_n_s_enumerate, __pyx_k_enumerate, sizeof(__pyx_k_enumerate), 0, 0, 1, 1},
  {&__pyx_n_s_expandos, __pyx_k_expandos, sizeof(__pyx_k_expandos), 0, 0, 1, 1},
  {&__pyx_n_s_fblas, __pyx_k_fblas, sizeof(__pyx_k_fblas), 0, 0, 1, 1},
  {&__pyx_n_s_float32, __pyx_k_float32, sizeof(__pyx_k_float32), 0, 0, 1, 1},
  {&__pyx_n_s_gensim_models_doc2vec_inner, __pyx_k_gensim_models_doc2vec_inner, sizeof(__pyx_k_gensim_models_doc2vec_inner), 0, 0, 1, 1},
  {&__pyx_kp_s_gensim_models_doc2vec_inner_pyx, __pyx_k_gensim_models_doc2vec_inner_pyx, sizeof(__pyx_k_gensim_models_doc2vec_inner_pyx), 0, 0, 1, 0},
  {&__pyx_n_s_get, __pyx_k_get, sizeof(__pyx_k_get), 0, 0, 1, 1},
  {&__pyx_n_s_get_index, __pyx_k_get_index, sizeof(__pyx_k_get_index), 0, 0, 1, 1},
  {&__pyx_n_s_hs, __pyx_k_hs, sizeof(__pyx_k_hs), 0, 0, 1, 1},
  {&__pyx_n_s_i, __pyx_k_i, sizeof(__pyx_k_i), 0, 0, 1, 1},
  {&__pyx_n_s_import, __pyx_k_import, sizeof(__pyx_k_import), 0, 0, 1, 1},
  {&__pyx_n_s_inv_count, __pyx_k_inv_count, sizeof(__pyx_k_inv_count), 0, 0, 1, 1},
  {&__pyx_n_s_item, __pyx_k_item, sizeof(__pyx_k_item), 0, 0, 1, 1},
  {&__pyx_n_s_j, __pyx_k_j, sizeof(__pyx_k_j), 0, 0, 1, 1},
  {&__pyx_n_s_k, __pyx_k_k, sizeof(__pyx_k_k), 0, 0, 1, 1},
  {&__pyx_n_s_key_to_index, __pyx_k_key_to_index, sizeof(__pyx_k_key_to_index), 0, 0, 1, 1},
  {&__pyx_n_s_layer1_size, __pyx_k_layer1_size, sizeof(__pyx_k_layer1_size), 0, 0, 1, 1},
  {&__pyx_n_s_learn_doctags, __pyx_k_learn_doctags, sizeof(__pyx_k_learn_doctags), 0, 0, 1, 1},
  {&__pyx_n_s_learn_hidden, __pyx_k_learn_hidden, sizeof(__pyx_k_learn_hidden), 0, 0, 1, 1},
  {&__pyx_n_s_learn_words, __pyx_k_learn_words, sizeof(__pyx_k_learn_words), 0, 0, 1, 1},
  {&__pyx_n_s_m, __pyx_k_m, sizeof(__pyx_k_m), 0, 0, 1, 1},
  {&__pyx_n_s_main, __pyx_k_main, sizeof(__pyx_k_main), 0, 0, 1, 1},
  {&__pyx_n_s_model, __pyx_k_model, sizeof(__pyx_k_model), 0, 0, 1, 1},
  {&__pyx_n_s_n, __pyx_k_n, sizeof(__pyx_k_n), 0, 0, 1, 1},
  {&__pyx_n_s_name, __pyx_k_name, sizeof(__pyx_k_name), 0, 0, 1, 1},
  {&__pyx_n_s_negative, __pyx_k_negative, sizeof(__pyx_k_negative), 0, 0, 1, 1},
  {&__pyx_n_s_neu1, __pyx_k_neu1, sizeof(__pyx_k_neu1), 0, 0, 1, 1},
  {&__pyx_n_s_np, __pyx_k_np, sizeof(__pyx_k_np), 0, 0, 1, 1},
  {&__pyx_n_s_numpy, __pyx_k_numpy, sizeof(__pyx_k_numpy), 0, 0, 1, 1},
  {&__pyx_kp_u_numpy_core_multiarray_failed_to, __pyx_k_numpy_core_multiarray_failed_to, sizeof(__pyx_k_numpy_core_multiarray_failed_to), 0, 1, 0, 0},
  {&__pyx_kp_u_numpy_core_umath_failed_to_impor, __pyx_k_numpy_core_umath_failed_to_impor, sizeof(__pyx_k_numpy_core_umath_failed_to_impor), 0, 1, 0, 0},
  {&__pyx_n_u_point, __pyx_k_point, sizeof(__pyx_k_point), 0, 1, 0, 1},
  {&__pyx_n_s_randint, __pyx_k_randint, sizeof(__pyx_k_randint), 0, 0, 1, 1},
  {&__pyx_n_s_random, __pyx_k_random, sizeof(__pyx_k_random), 0, 0, 1, 1},
  {&__pyx_n_s_range, __pyx_k_range, sizeof(__pyx_k_range), 0, 0, 1, 1},
  {&__pyx_n_s_result, __pyx_k_result, sizeof(__pyx_k_result), 0, 0, 1, 1},
  {&__pyx_n_s_sample, __pyx_k_sample, sizeof(__pyx_k_sample), 0, 0, 1, 1},
  {&__pyx_n_u_sample_int, __pyx_k_sample_int, sizeof(__pyx_k_sample_int), 0, 1, 0, 1},
  {&__pyx_n_s_scipy_linalg_blas, __pyx_k_scipy_linalg_blas, sizeof(__pyx_k_scipy_linalg_blas), 0, 0, 1, 1},
  {&__pyx_n_s_shrink_windows, __pyx_k_shrink_windows, sizeof(__pyx_k_shrink_windows), 0, 0, 1, 1},
  {&__pyx_n_s_syn1, __pyx_k_syn1, sizeof(__pyx_k_syn1), 0, 0, 1, 1},
  {&__pyx_n_s_syn1neg, __pyx_k_syn1neg, sizeof(__pyx_k_syn1neg), 0, 0, 1, 1},
  {&__pyx_n_s_test, __pyx_k_test, sizeof(__pyx_k_test), 0, 0, 1, 1},
  {&__pyx_n_s_token, __pyx_k_token, sizeof(__pyx_k_token), 0, 0, 1, 1},
  {&__pyx_n_s_train_document_dbow, __pyx_k_train_document_dbow, sizeof(__pyx_k_train_document_dbow), 0, 0, 1, 1},
  {&__pyx_n_s_train_document_dm, __pyx_k_train_document_dm, sizeof(__pyx_k_train_document_dm), 0, 0, 1, 1},
  {&__pyx_n_s_train_document_dm_concat, __pyx_k_train_document_dm_concat, sizeof(__pyx_k_train_document_dm_concat), 0, 0, 1, 1},
  {&__pyx_n_s_train_words, __pyx_k_train_words, sizeof(__pyx_k_train_words), 0, 0, 1, 1},
  {&__pyx_n_s_vector_size, __pyx_k_vector_size, sizeof(__pyx_k_vector_size), 0, 0, 1, 1},
  {&__pyx_n_s_vectors, __pyx_k_vectors, sizeof(__pyx_k_vectors), 0, 0, 1, 1},
  {&__pyx_n_s_vectors_lockf, __pyx_k_vectors_lockf, sizeof(__pyx_k_vectors_lockf), 0, 0, 1, 1},
  {&__pyx_n_s_vocab_codes, __pyx_k_vocab_codes, sizeof(__pyx_k_vocab_codes), 0, 0, 1, 1},
  {&__pyx_n_s_vocab_points, __pyx_k_vocab_points, sizeof(__pyx_k_vocab_points), 0, 0, 1, 1},
  {&__pyx_n_s_vocab_sample_ints, __pyx_k_vocab_sample_ints, sizeof(__pyx_k_vocab_sample_ints), 0, 0, 1, 1},
  {&__pyx_n_s_window, __pyx_k_window, sizeof(__pyx_k_window), 0, 0, 1, 1},
  {&__pyx_n_s_word_index, __pyx_k_word_index, sizeof(__pyx_k_word_index), 0, 0, 1, 1},
  {&__pyx_n_s_word_vectors, __pyx_k_word_vectors, sizeof(__pyx_k_word_vectors), 0, 0, 1, 1},
  {&__pyx_n_s_words_lockf, __pyx_k_words_lockf, sizeof(__pyx_k_words_lockf), 0, 0, 1, 1},
  {&__pyx_n_s_work, __pyx_k_work, sizeof(__pyx_k_work), 0, 0, 1, 1},
  {&__pyx_n_s_workers, __pyx_k_workers, sizeof(__pyx_k_workers), 0, 0, 1, 1},
  {&__pyx_n_s_wv, __pyx_k_wv, sizeof(__pyx_k_wv), 0, 0, 1, 1},
  {&__pyx_n_s_zeros, __pyx_k_zeros, sizeof(__pyx_k_zeros), 0, 0, 1, 1},
  {0, 0, 0, 0, 0, 0, 0}
};
static CYTHON_SMALL_CODE int __Pyx_InitCachedBuiltins(void) {
  __pyx_builtin_ImportError = __Pyx_GetBuiltinName(__pyx_n_s_ImportError); if (!__pyx_builtin_ImportError) __PYX_ERR(0, 24, __pyx_L1_error)
  __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_range) __PYX_ERR(0, 49, __pyx_L1_error)
  __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s_enumerate); if (!__pyx_builtin_enumerate) __PYX_ERR(0, 370, __pyx_L1_error)
  return 0;
  __pyx_L1_error:;
  return -1;
}

static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0);

  /* "gensim/models/doc2vec_inner.pyx":274
 *         c[0].cum_table_len = len(model.cum_table)
 *     if c[0].negative or c[0].sample:
 *         c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)             # <<<<<<<<<<<<<<
 * 
 *     # convert Python structures to primitive types, so we can release the GIL
 */
  __pyx_tuple__2 = PyTuple_Pack(2, __pyx_int_0, __pyx_int_16777216); if (unlikely(!__pyx_tuple__2)) __PYX_ERR(0, 274, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__2);
  __Pyx_GIVEREF(__pyx_tuple__2);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":884
 *         __pyx_import_array()
 *     except Exception:
 *         raise ImportError("numpy.core.multiarray failed to import")             # <<<<<<<<<<<<<<
 * 
 * cdef inline int import_umath() except -1:
 */
  __pyx_tuple__3 = PyTuple_Pack(1, __pyx_kp_u_numpy_core_multiarray_failed_to); if (unlikely(!__pyx_tuple__3)) __PYX_ERR(1, 884, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__3);
  __Pyx_GIVEREF(__pyx_tuple__3);

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":890
 *         _import_umath()
 *     except Exception:
 *         raise ImportError("numpy.core.umath failed to import")             # <<<<<<<<<<<<<<
 * 
 * cdef inline int import_ufunc() except -1:
 */
  __pyx_tuple__4 = PyTuple_Pack(1, __pyx_kp_u_numpy_core_umath_failed_to_impor); if (unlikely(!__pyx_tuple__4)) __PYX_ERR(1, 890, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__4);
  __Pyx_GIVEREF(__pyx_tuple__4);

  /* "gensim/models/doc2vec_inner.pyx":286
 * 
 * 
 * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,             # <<<<<<<<<<<<<<
 *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
 *                         word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */
  __pyx_tuple__6 = PyTuple_Pack(24, __pyx_n_s_model, __pyx_n_s_doc_words, __pyx_n_s_doctag_indexes, __pyx_n_s_alpha, __pyx_n_s_work, __pyx_n_s_train_words, __pyx_n_s_learn_doctags, __pyx_n_s_learn_words, __pyx_n_s_learn_hidden, __pyx_n_s_word_vectors, __pyx_n_s_words_lockf, __pyx_n_s_doctag_vectors, __pyx_n_s_doctags_lockf, __pyx_n_s_c, __pyx_n_s_i, __pyx_n_s_j, __pyx_n_s_result, __pyx_n_s_vocab_sample_ints, __pyx_n_s_vocab_codes, __pyx_n_s_vocab_points, __pyx_n_s_token, __pyx_n_s_word_index, __pyx_n_s_item, __pyx_n_s_k); if (unlikely(!__pyx_tuple__6)) __PYX_ERR(0, 286, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__6);
  __Pyx_GIVEREF(__pyx_tuple__6);
  __pyx_codeobj__7 = (PyObject*)__Pyx_PyCode_New(13, 0, 24, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__6, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gensim_models_doc2vec_inner_pyx, __pyx_n_s_train_document_dbow, 286, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__7)) __PYX_ERR(0, 286, __pyx_L1_error)

  /* "gensim/models/doc2vec_inner.pyx":420
 * 
 * 
 * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
 *                       learn_doctags=True, learn_words=True, learn_hidden=True,
 *                       word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */
  __pyx_tuple__8 = PyTuple_Pack(27, __pyx_n_s_model, __pyx_n_s_doc_words, __pyx_n_s_doctag_indexes, __pyx_n_s_alpha, __pyx_n_s_work, __pyx_n_s_neu1, __pyx_n_s_learn_doctags, __pyx_n_s_learn_words, __pyx_n_s_learn_hidden, __pyx_n_s_word_vectors, __pyx_n_s_words_lockf, __pyx_n_s_doctag_vectors, __pyx_n_s_doctags_lockf, __pyx_n_s_c, __pyx_n_s_count, __pyx_n_s_inv_count, __pyx_n_s_i, __pyx_n_s_j, __pyx_n_s_k, __pyx_n_s_m, __pyx_n_s_result, __pyx_n_s_vocab_sample_ints, __pyx_n_s_vocab_codes, __pyx_n_s_vocab_points, __pyx_n_s_token, __pyx_n_s_word_index, __pyx_n_s_item); if (unlikely(!__pyx_tuple__8)) __PYX_ERR(0, 420, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__8);
  __Pyx_GIVEREF(__pyx_tuple__8);
  __pyx_codeobj__9 = (PyObject*)__Pyx_PyCode_New(13, 0, 27, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__8, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gensim_models_doc2vec_inner_pyx, __pyx_n_s_train_document_dm, 420, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__9)) __PYX_ERR(0, 420, __pyx_L1_error)

  /* "gensim/models/doc2vec_inner.pyx":569
 * 
 * 
 * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
 *                              learn_doctags=True, learn_words=True, learn_hidden=True,
 *                              word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */
  __pyx_tuple__10 = PyTuple_Pack(25, __pyx_n_s_model, __pyx_n_s_doc_words, __pyx_n_s_doctag_indexes, __pyx_n_s_alpha, __pyx_n_s_work, __pyx_n_s_neu1, __pyx_n_s_learn_doctags, __pyx_n_s_learn_words, __pyx_n_s_learn_hidden, __pyx_n_s_word_vectors, __pyx_n_s_words_lockf, __pyx_n_s_doctag_vectors, __pyx_n_s_doctags_lockf, __pyx_n_s_c, __pyx_n_s_i, __pyx_n_s_j, __pyx_n_s_k, __pyx_n_s_m, __pyx_n_s_n, __pyx_n_s_result, __pyx_n_s_vocab_sample_ints, __pyx_n_s_vocab_codes, __pyx_n_s_vocab_points, __pyx_n_s_token, __pyx_n_s_word_index); if (unlikely(!__pyx_tuple__10)) __PYX_ERR(0, 569, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__10);
  __Pyx_GIVEREF(__pyx_tuple__10);
  __pyx_codeobj__11 = (PyObject*)__Pyx_PyCode_New(13, 0, 25, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__10, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gensim_models_doc2vec_inner_pyx, __pyx_n_s_train_document_dm_concat, 569, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__11)) __PYX_ERR(0, 569, __pyx_L1_error)
  __Pyx_RefNannyFinishContext();
  return 0;
  __pyx_L1_error:;
  __Pyx_RefNannyFinishContext();
  return -1;
}

static CYTHON_SMALL_CODE int __Pyx_InitGlobals(void) {
  if (__Pyx_InitStrings(__pyx_string_tab) < 0) __PYX_ERR(0, 1, __pyx_L1_error);
  __pyx_int_0 = PyInt_FromLong(0); if (unlikely(!__pyx_int_0)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_16777216 = PyInt_FromLong(16777216L); if (unlikely(!__pyx_int_16777216)) __PYX_ERR(0, 1, __pyx_L1_error)
  return 0;
  __pyx_L1_error:;
  return -1;
}

static CYTHON_SMALL_CODE int __Pyx_modinit_global_init_code(void); /*proto*/
static CYTHON_SMALL_CODE int __Pyx_modinit_variable_export_code(void); /*proto*/
static CYTHON_SMALL_CODE int __Pyx_modinit_function_export_code(void); /*proto*/
static CYTHON_SMALL_CODE int __Pyx_modinit_type_init_code(void); /*proto*/
static CYTHON_SMALL_CODE int __Pyx_modinit_type_import_code(void); /*proto*/
static CYTHON_SMALL_CODE int __Pyx_modinit_variable_import_code(void); /*proto*/
static CYTHON_SMALL_CODE int __Pyx_modinit_function_import_code(void); /*proto*/

static int __Pyx_modinit_global_init_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_global_init_code", 0);
  /*--- Global init code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}

static int __Pyx_modinit_variable_export_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_variable_export_code", 0);
  /*--- Variable export code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}

static int __Pyx_modinit_function_export_code(void) {
  __Pyx_RefNannyDeclarations
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("__Pyx_modinit_function_export_code", 0);
  /*--- Function export code ---*/
  if (__Pyx_ExportFunction("fast_document_dbow_hs", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_hs, "void (__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 )") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ExportFunction("fast_document_dbow_neg", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg, "unsigned PY_LONG_LONG (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 )") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ExportFunction("fast_document_dm_hs", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_hs, "void (__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)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ExportFunction("fast_document_dm_neg", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_neg, "unsigned PY_LONG_LONG (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)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ExportFunction("fast_document_dmc_hs", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_hs, "void (__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)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ExportFunction("fast_document_dmc_neg", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_neg, "unsigned PY_LONG_LONG (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)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ExportFunction("init_d2v_config", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config, "PyObject *(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)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  __Pyx_RefNannyFinishContext();
  return 0;
  __pyx_L1_error:;
  __Pyx_RefNannyFinishContext();
  return -1;
}

static int __Pyx_modinit_type_init_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_type_init_code", 0);
  /*--- Type init code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}

static int __Pyx_modinit_type_import_code(void) {
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("__Pyx_modinit_type_import_code", 0);
  /*--- Type import code ---*/
  __pyx_t_1 = PyImport_ImportModule(__Pyx_BUILTIN_MODULE_NAME); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 9, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_ptype_7cpython_4type_type = __Pyx_ImportType(__pyx_t_1, __Pyx_BUILTIN_MODULE_NAME, "type", 
  #if defined(PYPY_VERSION_NUM) && PYPY_VERSION_NUM < 0x050B0000
  sizeof(PyTypeObject),
  #else
  sizeof(PyHeapTypeObject),
  #endif
  __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_7cpython_4type_type) __PYX_ERR(2, 9, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = PyImport_ImportModule("numpy"); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 199, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_ptype_5numpy_dtype = __Pyx_ImportType(__pyx_t_1, "numpy", "dtype", sizeof(PyArray_Descr), __Pyx_ImportType_CheckSize_Ignore);
   if (!__pyx_ptype_5numpy_dtype) __PYX_ERR(1, 199, __pyx_L1_error)
  __pyx_ptype_5numpy_flatiter = __Pyx_ImportType(__pyx_t_1, "numpy", "flatiter", sizeof(PyArrayIterObject), __Pyx_ImportType_CheckSize_Ignore);
   if (!__pyx_ptype_5numpy_flatiter) __PYX_ERR(1, 222, __pyx_L1_error)
  __pyx_ptype_5numpy_broadcast = __Pyx_ImportType(__pyx_t_1, "numpy", "broadcast", sizeof(PyArrayMultiIterObject), __Pyx_ImportType_CheckSize_Ignore);
   if (!__pyx_ptype_5numpy_broadcast) __PYX_ERR(1, 226, __pyx_L1_error)
  __pyx_ptype_5numpy_ndarray = __Pyx_ImportType(__pyx_t_1, "numpy", "ndarray", sizeof(PyArrayObject), __Pyx_ImportType_CheckSize_Ignore);
   if (!__pyx_ptype_5numpy_ndarray) __PYX_ERR(1, 238, __pyx_L1_error)
  __pyx_ptype_5numpy_ufunc = __Pyx_ImportType(__pyx_t_1, "numpy", "ufunc", sizeof(PyUFuncObject), __Pyx_ImportType_CheckSize_Ignore);
   if (!__pyx_ptype_5numpy_ufunc) __PYX_ERR(1, 764, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_RefNannyFinishContext();
  return 0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_RefNannyFinishContext();
  return -1;
}

static int __Pyx_modinit_variable_import_code(void) {
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("__Pyx_modinit_variable_import_code", 0);
  /*--- Variable import code ---*/
  __pyx_t_1 = PyImport_ImportModule("gensim.models.word2vec_inner"); if (!__pyx_t_1) __PYX_ERR(0, 1, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_ImportVoidPtr(__pyx_t_1, "scopy", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_scopy, "__pyx_t_6gensim_6models_14word2vec_inner_scopy_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ImportVoidPtr(__pyx_t_1, "saxpy", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_saxpy, "__pyx_t_6gensim_6models_14word2vec_inner_saxpy_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ImportVoidPtr(__pyx_t_1, "sdot", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_sdot, "__pyx_t_6gensim_6models_14word2vec_inner_sdot_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ImportVoidPtr(__pyx_t_1, "dsdot", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_dsdot, "__pyx_t_6gensim_6models_14word2vec_inner_dsdot_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ImportVoidPtr(__pyx_t_1, "snrm2", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_snrm2, "__pyx_t_6gensim_6models_14word2vec_inner_snrm2_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ImportVoidPtr(__pyx_t_1, "sscal", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_sscal, "__pyx_t_6gensim_6models_14word2vec_inner_sscal_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ImportVoidPtr(__pyx_t_1, "EXP_TABLE", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_EXP_TABLE, "__pyx_t_6gensim_6models_14word2vec_inner_REAL_t [0x3E8]") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ImportVoidPtr(__pyx_t_1, "our_dot", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_our_dot, "__pyx_t_6gensim_6models_14word2vec_inner_our_dot_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ImportVoidPtr(__pyx_t_1, "our_saxpy", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_our_saxpy, "__pyx_t_6gensim_6models_14word2vec_inner_our_saxpy_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_RefNannyFinishContext();
  return 0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_RefNannyFinishContext();
  return -1;
}

static int __Pyx_modinit_function_import_code(void) {
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannySetupContext("__Pyx_modinit_function_import_code", 0);
  /*--- Function import code ---*/
  __pyx_t_1 = PyImport_ImportModule("gensim.models.word2vec_inner"); if (!__pyx_t_1) __PYX_ERR(0, 1, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_ImportFunction(__pyx_t_1, "bisect_left", (void (**)(void))&__pyx_f_6gensim_6models_14word2vec_inner_bisect_left, "unsigned PY_LONG_LONG (__pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ImportFunction(__pyx_t_1, "random_int32", (void (**)(void))&__pyx_f_6gensim_6models_14word2vec_inner_random_int32, "unsigned PY_LONG_LONG (unsigned PY_LONG_LONG *)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_RefNannyFinishContext();
  return 0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_RefNannyFinishContext();
  return -1;
}


#ifndef CYTHON_NO_PYINIT_EXPORT
#define __Pyx_PyMODINIT_FUNC PyMODINIT_FUNC
#elif PY_MAJOR_VERSION < 3
#ifdef __cplusplus
#define __Pyx_PyMODINIT_FUNC extern "C" void
#else
#define __Pyx_PyMODINIT_FUNC void
#endif
#else
#ifdef __cplusplus
#define __Pyx_PyMODINIT_FUNC extern "C" PyObject *
#else
#define __Pyx_PyMODINIT_FUNC PyObject *
#endif
#endif


#if PY_MAJOR_VERSION < 3
__Pyx_PyMODINIT_FUNC initdoc2vec_inner(void) CYTHON_SMALL_CODE; /*proto*/
__Pyx_PyMODINIT_FUNC initdoc2vec_inner(void)
#else
__Pyx_PyMODINIT_FUNC PyInit_doc2vec_inner(void) CYTHON_SMALL_CODE; /*proto*/
__Pyx_PyMODINIT_FUNC PyInit_doc2vec_inner(void)
#if CYTHON_PEP489_MULTI_PHASE_INIT
{
  return PyModuleDef_Init(&__pyx_moduledef);
}
static CYTHON_SMALL_CODE int __Pyx_check_single_interpreter(void) {
    #if PY_VERSION_HEX >= 0x030700A1
    static PY_INT64_T main_interpreter_id = -1;
    PY_INT64_T current_id = PyInterpreterState_GetID(PyThreadState_Get()->interp);
    if (main_interpreter_id == -1) {
        main_interpreter_id = current_id;
        return (unlikely(current_id == -1)) ? -1 : 0;
    } else if (unlikely(main_interpreter_id != current_id))
    #else
    static PyInterpreterState *main_interpreter = NULL;
    PyInterpreterState *current_interpreter = PyThreadState_Get()->interp;
    if (!main_interpreter) {
        main_interpreter = current_interpreter;
    } else if (unlikely(main_interpreter != current_interpreter))
    #endif
    {
        PyErr_SetString(
            PyExc_ImportError,
            "Interpreter change detected - this module can only be loaded into one interpreter per process.");
        return -1;
    }
    return 0;
}
static CYTHON_SMALL_CODE int __Pyx_copy_spec_to_module(PyObject *spec, PyObject *moddict, const char* from_name, const char* to_name, int allow_none) {
    PyObject *value = PyObject_GetAttrString(spec, from_name);
    int result = 0;
    if (likely(value)) {
        if (allow_none || value != Py_None) {
            result = PyDict_SetItemString(moddict, to_name, value);
        }
        Py_DECREF(value);
    } else if (PyErr_ExceptionMatches(PyExc_AttributeError)) {
        PyErr_Clear();
    } else {
        result = -1;
    }
    return result;
}
static CYTHON_SMALL_CODE PyObject* __pyx_pymod_create(PyObject *spec, CYTHON_UNUSED PyModuleDef *def) {
    PyObject *module = NULL, *moddict, *modname;
    if (__Pyx_check_single_interpreter())
        return NULL;
    if (__pyx_m)
        return __Pyx_NewRef(__pyx_m);
    modname = PyObject_GetAttrString(spec, "name");
    if (unlikely(!modname)) goto bad;
    module = PyModule_NewObject(modname);
    Py_DECREF(modname);
    if (unlikely(!module)) goto bad;
    moddict = PyModule_GetDict(module);
    if (unlikely(!moddict)) goto bad;
    if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "loader", "__loader__", 1) < 0)) goto bad;
    if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "origin", "__file__", 1) < 0)) goto bad;
    if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "parent", "__package__", 1) < 0)) goto bad;
    if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "submodule_search_locations", "__path__", 0) < 0)) goto bad;
    return module;
bad:
    Py_XDECREF(module);
    return NULL;
}


static CYTHON_SMALL_CODE int __pyx_pymod_exec_doc2vec_inner(PyObject *__pyx_pyinit_module)
#endif
#endif
{
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  PyObject *__pyx_t_9 = NULL;
  int __pyx_lineno = 0;
  const char *__pyx_filename = NULL;
  int __pyx_clineno = 0;
  __Pyx_RefNannyDeclarations
  #if CYTHON_PEP489_MULTI_PHASE_INIT
  if (__pyx_m) {
    if (__pyx_m == __pyx_pyinit_module) return 0;
    PyErr_SetString(PyExc_RuntimeError, "Module 'doc2vec_inner' has already been imported. Re-initialisation is not supported.");
    return -1;
  }
  #elif PY_MAJOR_VERSION >= 3
  if (__pyx_m) return __Pyx_NewRef(__pyx_m);
  #endif
  #if CYTHON_REFNANNY
__Pyx_RefNanny = __Pyx_RefNannyImportAPI("refnanny");
if (!__Pyx_RefNanny) {
  PyErr_Clear();
  __Pyx_RefNanny = __Pyx_RefNannyImportAPI("Cython.Runtime.refnanny");
  if (!__Pyx_RefNanny)
      Py_FatalError("failed to import 'refnanny' module");
}
#endif
  __Pyx_RefNannySetupContext("__Pyx_PyMODINIT_FUNC PyInit_doc2vec_inner(void)", 0);
  if (__Pyx_check_binary_version() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #ifdef __Pxy_PyFrame_Initialize_Offsets
  __Pxy_PyFrame_Initialize_Offsets();
  #endif
  __pyx_empty_tuple = PyTuple_New(0); if (unlikely(!__pyx_empty_tuple)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_empty_bytes = PyBytes_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_bytes)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_empty_unicode = PyUnicode_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_unicode)) __PYX_ERR(0, 1, __pyx_L1_error)
  #ifdef __Pyx_CyFunction_USED
  if (__pyx_CyFunction_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_FusedFunction_USED
  if (__pyx_FusedFunction_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_Coroutine_USED
  if (__pyx_Coroutine_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_Generator_USED
  if (__pyx_Generator_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_AsyncGen_USED
  if (__pyx_AsyncGen_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_StopAsyncIteration_USED
  if (__pyx_StopAsyncIteration_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  /*--- Library function declarations ---*/
  /*--- Threads initialization code ---*/
  #if defined(WITH_THREAD) && PY_VERSION_HEX < 0x030700F0 && defined(__PYX_FORCE_INIT_THREADS) && __PYX_FORCE_INIT_THREADS
  PyEval_InitThreads();
  #endif
  /*--- Module creation code ---*/
  #if CYTHON_PEP489_MULTI_PHASE_INIT
  __pyx_m = __pyx_pyinit_module;
  Py_INCREF(__pyx_m);
  #else
  #if PY_MAJOR_VERSION < 3
  __pyx_m = Py_InitModule4("doc2vec_inner", __pyx_methods, __pyx_k_Optimized_cython_functions_for_t, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m);
  #else
  __pyx_m = PyModule_Create(&__pyx_moduledef);
  #endif
  if (unlikely(!__pyx_m)) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  __pyx_d = PyModule_GetDict(__pyx_m); if (unlikely(!__pyx_d)) __PYX_ERR(0, 1, __pyx_L1_error)
  Py_INCREF(__pyx_d);
  __pyx_b = PyImport_AddModule(__Pyx_BUILTIN_MODULE_NAME); if (unlikely(!__pyx_b)) __PYX_ERR(0, 1, __pyx_L1_error)
  Py_INCREF(__pyx_b);
  __pyx_cython_runtime = PyImport_AddModule((char *) "cython_runtime"); if (unlikely(!__pyx_cython_runtime)) __PYX_ERR(0, 1, __pyx_L1_error)
  Py_INCREF(__pyx_cython_runtime);
  if (PyObject_SetAttrString(__pyx_m, "__builtins__", __pyx_b) < 0) __PYX_ERR(0, 1, __pyx_L1_error);
  /*--- Initialize various global constants etc. ---*/
  if (__Pyx_InitGlobals() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #if PY_MAJOR_VERSION < 3 && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT)
  if (__Pyx_init_sys_getdefaultencoding_params() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  if (__pyx_module_is_main_gensim__models__doc2vec_inner) {
    if (PyObject_SetAttr(__pyx_m, __pyx_n_s_name, __pyx_n_s_main) < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  }
  #if PY_MAJOR_VERSION >= 3
  {
    PyObject *modules = PyImport_GetModuleDict(); if (unlikely(!modules)) __PYX_ERR(0, 1, __pyx_L1_error)
    if (!PyDict_GetItemString(modules, "gensim.models.doc2vec_inner")) {
      if (unlikely(PyDict_SetItemString(modules, "gensim.models.doc2vec_inner", __pyx_m) < 0)) __PYX_ERR(0, 1, __pyx_L1_error)
    }
  }
  #endif
  /*--- Builtin init code ---*/
  if (__Pyx_InitCachedBuiltins() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  /*--- Constants init code ---*/
  if (__Pyx_InitCachedConstants() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  /*--- Global type/function init code ---*/
  (void)__Pyx_modinit_global_init_code();
  (void)__Pyx_modinit_variable_export_code();
  if (unlikely(__Pyx_modinit_function_export_code() < 0)) __PYX_ERR(0, 1, __pyx_L1_error)
  (void)__Pyx_modinit_type_init_code();
  if (unlikely(__Pyx_modinit_type_import_code() < 0)) __PYX_ERR(0, 1, __pyx_L1_error)
  if (unlikely(__Pyx_modinit_variable_import_code() < 0)) __PYX_ERR(0, 1, __pyx_L1_error)
  if (unlikely(__Pyx_modinit_function_import_code() < 0)) __PYX_ERR(0, 1, __pyx_L1_error)
  /*--- Execution code ---*/
  #if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)
  if (__Pyx_patch_abc() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif

  /* "gensim/models/doc2vec_inner.pyx":15
 * 
 * import cython
 * import numpy as np             # <<<<<<<<<<<<<<
 * from numpy import zeros, float32 as REAL
 * cimport numpy as np
 */
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_numpy, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 15, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_np, __pyx_t_1) < 0) __PYX_ERR(0, 15, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gensim/models/doc2vec_inner.pyx":16
 * import cython
 * import numpy as np
 * from numpy import zeros, float32 as REAL             # <<<<<<<<<<<<<<
 * cimport numpy as np
 * 
 */
  __pyx_t_1 = PyList_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 16, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(__pyx_n_s_zeros);
  __Pyx_GIVEREF(__pyx_n_s_zeros);
  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_zeros);
  __Pyx_INCREF(__pyx_n_s_float32);
  __Pyx_GIVEREF(__pyx_n_s_float32);
  PyList_SET_ITEM(__pyx_t_1, 1, __pyx_n_s_float32);
  __pyx_t_2 = __Pyx_Import(__pyx_n_s_numpy, __pyx_t_1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 16, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_zeros); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 16, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_zeros, __pyx_t_1) < 0) __PYX_ERR(0, 16, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_float32); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 16, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_REAL, __pyx_t_1) < 0) __PYX_ERR(0, 16, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gensim/models/doc2vec_inner.pyx":22
 * 
 * # scipy <= 0.15
 * try:             # <<<<<<<<<<<<<<
 *     from scipy.linalg.blas import fblas
 * except ImportError:
 */
  {
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ExceptionSave(&__pyx_t_3, &__pyx_t_4, &__pyx_t_5);
    __Pyx_XGOTREF(__pyx_t_3);
    __Pyx_XGOTREF(__pyx_t_4);
    __Pyx_XGOTREF(__pyx_t_5);
    /*try:*/ {

      /* "gensim/models/doc2vec_inner.pyx":23
 * # scipy <= 0.15
 * try:
 *     from scipy.linalg.blas import fblas             # <<<<<<<<<<<<<<
 * except ImportError:
 *     # in scipy > 0.15, fblas function has been removed
 */
      __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 23, __pyx_L2_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_INCREF(__pyx_n_s_fblas);
      __Pyx_GIVEREF(__pyx_n_s_fblas);
      PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_fblas);
      __pyx_t_1 = __Pyx_Import(__pyx_n_s_scipy_linalg_blas, __pyx_t_2, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 23, __pyx_L2_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_fblas); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 23, __pyx_L2_error)
      __Pyx_GOTREF(__pyx_t_2);
      if (PyDict_SetItem(__pyx_d, __pyx_n_s_fblas, __pyx_t_2) < 0) __PYX_ERR(0, 23, __pyx_L2_error)
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

      /* "gensim/models/doc2vec_inner.pyx":22
 * 
 * # scipy <= 0.15
 * try:             # <<<<<<<<<<<<<<
 *     from scipy.linalg.blas import fblas
 * except ImportError:
 */
    }
    __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    goto __pyx_L7_try_end;
    __pyx_L2_error:;
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "gensim/models/doc2vec_inner.pyx":24
 * try:
 *     from scipy.linalg.blas import fblas
 * except ImportError:             # <<<<<<<<<<<<<<
 *     # in scipy > 0.15, fblas function has been removed
 *     import scipy.linalg.blas as fblas
 */
    __pyx_t_6 = __Pyx_PyErr_ExceptionMatches(__pyx_builtin_ImportError);
    if (__pyx_t_6) {
      __Pyx_AddTraceback("gensim.models.doc2vec_inner", __pyx_clineno, __pyx_lineno, __pyx_filename);
      if (__Pyx_GetException(&__pyx_t_1, &__pyx_t_2, &__pyx_t_7) < 0) __PYX_ERR(0, 24, __pyx_L4_except_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_GOTREF(__pyx_t_7);

      /* "gensim/models/doc2vec_inner.pyx":26
 * except ImportError:
 *     # in scipy > 0.15, fblas function has been removed
 *     import scipy.linalg.blas as fblas             # <<<<<<<<<<<<<<
 * 
 * from gensim.models.word2vec_inner cimport bisect_left, random_int32, sscal, REAL_t, EXP_TABLE, our_dot, our_saxpy
 */
      __pyx_t_8 = PyList_New(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 26, __pyx_L4_except_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_INCREF(__pyx_n_s__5);
      __Pyx_GIVEREF(__pyx_n_s__5);
      PyList_SET_ITEM(__pyx_t_8, 0, __pyx_n_s__5);
      __pyx_t_9 = __Pyx_Import(__pyx_n_s_scipy_linalg_blas, __pyx_t_8, 0); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 26, __pyx_L4_except_error)
      __Pyx_GOTREF(__pyx_t_9);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      if (PyDict_SetItem(__pyx_d, __pyx_n_s_fblas, __pyx_t_9) < 0) __PYX_ERR(0, 26, __pyx_L4_except_error)
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
      goto __pyx_L3_exception_handled;
    }
    goto __pyx_L4_except_error;
    __pyx_L4_except_error:;

    /* "gensim/models/doc2vec_inner.pyx":22
 * 
 * # scipy <= 0.15
 * try:             # <<<<<<<<<<<<<<
 *     from scipy.linalg.blas import fblas
 * except ImportError:
 */
    __Pyx_XGIVEREF(__pyx_t_3);
    __Pyx_XGIVEREF(__pyx_t_4);
    __Pyx_XGIVEREF(__pyx_t_5);
    __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5);
    goto __pyx_L1_error;
    __pyx_L3_exception_handled:;
    __Pyx_XGIVEREF(__pyx_t_3);
    __Pyx_XGIVEREF(__pyx_t_4);
    __Pyx_XGIVEREF(__pyx_t_5);
    __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5);
    __pyx_L7_try_end:;
  }

  /* "gensim/models/doc2vec_inner.pyx":32
 * DEF MAX_DOCUMENT_LEN = 10000
 * 
 * cdef int ONE = 1             # <<<<<<<<<<<<<<
 * cdef REAL_t ONEF = <REAL_t>1.0
 * 
 */
  __pyx_v_6gensim_6models_13doc2vec_inner_ONE = 1;

  /* "gensim/models/doc2vec_inner.pyx":33
 * 
 * cdef int ONE = 1
 * cdef REAL_t ONEF = <REAL_t>1.0             # <<<<<<<<<<<<<<
 * 
 * DEF EXP_TABLE_SIZE = 1000
 */
  __pyx_v_6gensim_6models_13doc2vec_inner_ONEF = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)1.0);

  /* "gensim/models/doc2vec_inner.pyx":286
 * 
 * 
 * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,             # <<<<<<<<<<<<<<
 *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
 *                         word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */
  __pyx_t_7 = PyCFunction_NewEx(&__pyx_mdef_6gensim_6models_13doc2vec_inner_1train_document_dbow, NULL, __pyx_n_s_gensim_models_doc2vec_inner); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 286, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_train_document_dbow, __pyx_t_7) < 0) __PYX_ERR(0, 286, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "gensim/models/doc2vec_inner.pyx":420
 * 
 * 
 * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
 *                       learn_doctags=True, learn_words=True, learn_hidden=True,
 *                       word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */
  __pyx_t_7 = PyCFunction_NewEx(&__pyx_mdef_6gensim_6models_13doc2vec_inner_3train_document_dm, NULL, __pyx_n_s_gensim_models_doc2vec_inner); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 420, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_train_document_dm, __pyx_t_7) < 0) __PYX_ERR(0, 420, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "gensim/models/doc2vec_inner.pyx":569
 * 
 * 
 * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
 *                              learn_doctags=True, learn_words=True, learn_hidden=True,
 *                              word_vectors=None, words_lockf=None, doctag_vectors=None, doctags_lockf=None):
 */
  __pyx_t_7 = PyCFunction_NewEx(&__pyx_mdef_6gensim_6models_13doc2vec_inner_5train_document_dm_concat, NULL, __pyx_n_s_gensim_models_doc2vec_inner); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 569, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_train_document_dm_concat, __pyx_t_7) < 0) __PYX_ERR(0, 569, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "gensim/models/doc2vec_inner.pyx":1
 * #!/usr/bin/env cython             # <<<<<<<<<<<<<<
 * # cython: language_level=3
 * # cython: boundscheck=False
 */
  __pyx_t_7 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_7) < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "../_h_env/lib/site-packages/numpy/__init__.pxd":892
 *         raise ImportError("numpy.core.umath failed to import")
 * 
 * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         _import_umath()
 */

  /*--- Wrapped vars code ---*/

  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_XDECREF(__pyx_t_9);
  if (__pyx_m) {
    if (__pyx_d) {
      __Pyx_AddTraceback("init gensim.models.doc2vec_inner", __pyx_clineno, __pyx_lineno, __pyx_filename);
    }
    Py_CLEAR(__pyx_m);
  } else if (!PyErr_Occurred()) {
    PyErr_SetString(PyExc_ImportError, "init gensim.models.doc2vec_inner");
  }
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  #if CYTHON_PEP489_MULTI_PHASE_INIT
  return (__pyx_m != NULL) ? 0 : -1;
  #elif PY_MAJOR_VERSION >= 3
  return __pyx_m;
  #else
  return;
  #endif
}

/* --- Runtime support code --- */
/* Refnanny */
#if CYTHON_REFNANNY
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
    PyObject *m = NULL, *p = NULL;
    void *r = NULL;
    m = PyImport_ImportModule(modname);
    if (!m) goto end;
    p = PyObject_GetAttrString(m, "RefNannyAPI");
    if (!p) goto end;
    r = PyLong_AsVoidPtr(p);
end:
    Py_XDECREF(p);
    Py_XDECREF(m);
    return (__Pyx_RefNannyAPIStruct *)r;
}
#endif

/* PyObjectGetAttrStr */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) {
    PyTypeObject* tp = Py_TYPE(obj);
    if (likely(tp->tp_getattro))
        return tp->tp_getattro(obj, attr_name);
#if PY_MAJOR_VERSION < 3
    if (likely(tp->tp_getattr))
        return tp->tp_getattr(obj, PyString_AS_STRING(attr_name));
#endif
    return PyObject_GetAttr(obj, attr_name);
}
#endif

/* GetBuiltinName */
static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
    PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name);
    if (unlikely(!result)) {
        PyErr_Format(PyExc_NameError,
#if PY_MAJOR_VERSION >= 3
            "name '%U' is not defined", name);
#else
            "name '%.200s' is not defined", PyString_AS_STRING(name));
#endif
    }
    return result;
}

/* PyIntCompare */
static CYTHON_INLINE PyObject* __Pyx_PyInt_NeObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED long inplace) {
    if (op1 == op2) {
        Py_RETURN_FALSE;
    }
    #if PY_MAJOR_VERSION < 3
    if (likely(PyInt_CheckExact(op1))) {
        const long b = intval;
        long a = PyInt_AS_LONG(op1);
        if (a != b) Py_RETURN_TRUE; else Py_RETURN_FALSE;
    }
    #endif
    #if CYTHON_USE_PYLONG_INTERNALS
    if (likely(PyLong_CheckExact(op1))) {
        int unequal;
        unsigned long uintval;
        Py_ssize_t size = Py_SIZE(op1);
        const digit* digits = ((PyLongObject*)op1)->ob_digit;
        if (intval == 0) {
            if (size != 0) Py_RETURN_TRUE; else Py_RETURN_FALSE;
        } else if (intval < 0) {
            if (size >= 0)
                Py_RETURN_TRUE;
            intval = -intval;
            size = -size;
        } else {
            if (size <= 0)
                Py_RETURN_TRUE;
        }
        uintval = (unsigned long) intval;
#if PyLong_SHIFT * 4 < SIZEOF_LONG*8
        if (uintval >> (PyLong_SHIFT * 4)) {
            unequal = (size != 5) || (digits[0] != (uintval & (unsigned long) PyLong_MASK))
                 | (digits[1] != ((uintval >> (1 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK)) | (digits[2] != ((uintval >> (2 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK)) | (digits[3] != ((uintval >> (3 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK)) | (digits[4] != ((uintval >> (4 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK));
        } else
#endif
#if PyLong_SHIFT * 3 < SIZEOF_LONG*8
        if (uintval >> (PyLong_SHIFT * 3)) {
            unequal = (size != 4) || (digits[0] != (uintval & (unsigned long) PyLong_MASK))
                 | (digits[1] != ((uintval >> (1 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK)) | (digits[2] != ((uintval >> (2 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK)) | (digits[3] != ((uintval >> (3 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK));
        } else
#endif
#if PyLong_SHIFT * 2 < SIZEOF_LONG*8
        if (uintval >> (PyLong_SHIFT * 2)) {
            unequal = (size != 3) || (digits[0] != (uintval & (unsigned long) PyLong_MASK))
                 | (digits[1] != ((uintval >> (1 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK)) | (digits[2] != ((uintval >> (2 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK));
        } else
#endif
#if PyLong_SHIFT * 1 < SIZEOF_LONG*8
        if (uintval >> (PyLong_SHIFT * 1)) {
            unequal = (size != 2) || (digits[0] != (uintval & (unsigned long) PyLong_MASK))
                 | (digits[1] != ((uintval >> (1 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK));
        } else
#endif
            unequal = (size != 1) || (((unsigned long) digits[0]) != (uintval & (unsigned long) PyLong_MASK));
        if (unequal != 0) Py_RETURN_TRUE; else Py_RETURN_FALSE;
    }
    #endif
    if (PyFloat_CheckExact(op1)) {
        const long b = intval;
        double a = PyFloat_AS_DOUBLE(op1);
        if ((double)a != (double)b) Py_RETURN_TRUE; else Py_RETURN_FALSE;
    }
    return (
        PyObject_RichCompare(op1, op2, Py_NE));
}

/* PyCFunctionFastCall */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
    PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
    PyCFunction meth = PyCFunction_GET_FUNCTION(func);
    PyObject *self = PyCFunction_GET_SELF(func);
    int flags = PyCFunction_GET_FLAGS(func);
    assert(PyCFunction_Check(func));
    assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));
    assert(nargs >= 0);
    assert(nargs == 0 || args != NULL);
    /* _PyCFunction_FastCallDict() must not be called with an exception set,
       because it may clear it (directly or indirectly) and so the
       caller loses its exception */
    assert(!PyErr_Occurred());
    if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
        return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);
    } else {
        return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);
    }
}
#endif

/* PyFunctionFastCall */
#if CYTHON_FAST_PYCALL
static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
                                               PyObject *globals) {
    PyFrameObject *f;
    PyThreadState *tstate = __Pyx_PyThreadState_Current;
    PyObject **fastlocals;
    Py_ssize_t i;
    PyObject *result;
    assert(globals != NULL);
    /* XXX Perhaps we should create a specialized
       PyFrame_New() that doesn't take locals, but does
       take builtins without sanity checking them.
       */
    assert(tstate != NULL);
    f = PyFrame_New(tstate, co, globals, NULL);
    if (f == NULL) {
        return NULL;
    }
    fastlocals = __Pyx_PyFrame_GetLocalsplus(f);
    for (i = 0; i < na; i++) {
        Py_INCREF(*args);
        fastlocals[i] = *args++;
    }
    result = PyEval_EvalFrameEx(f,0);
    ++tstate->recursion_depth;
    Py_DECREF(f);
    --tstate->recursion_depth;
    return result;
}
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) {
    PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
    PyObject *globals = PyFunction_GET_GLOBALS(func);
    PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
    PyObject *closure;
#if PY_MAJOR_VERSION >= 3
    PyObject *kwdefs;
#endif
    PyObject *kwtuple, **k;
    PyObject **d;
    Py_ssize_t nd;
    Py_ssize_t nk;
    PyObject *result;
    assert(kwargs == NULL || PyDict_Check(kwargs));
    nk = kwargs ? PyDict_Size(kwargs) : 0;
    if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
        return NULL;
    }
    if (
#if PY_MAJOR_VERSION >= 3
            co->co_kwonlyargcount == 0 &&
#endif
            likely(kwargs == NULL || nk == 0) &&
            co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
        if (argdefs == NULL && co->co_argcount == nargs) {
            result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
            goto done;
        }
        else if (nargs == 0 && argdefs != NULL
                 && co->co_argcount == Py_SIZE(argdefs)) {
            /* function called with no arguments, but all parameters have
               a default value: use default values as arguments .*/
            args = &PyTuple_GET_ITEM(argdefs, 0);
            result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
            goto done;
        }
    }
    if (kwargs != NULL) {
        Py_ssize_t pos, i;
        kwtuple = PyTuple_New(2 * nk);
        if (kwtuple == NULL) {
            result = NULL;
            goto done;
        }
        k = &PyTuple_GET_ITEM(kwtuple, 0);
        pos = i = 0;
        while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
            Py_INCREF(k[i]);
            Py_INCREF(k[i+1]);
            i += 2;
        }
        nk = i / 2;
    }
    else {
        kwtuple = NULL;
        k = NULL;
    }
    closure = PyFunction_GET_CLOSURE(func);
#if PY_MAJOR_VERSION >= 3
    kwdefs = PyFunction_GET_KW_DEFAULTS(func);
#endif
    if (argdefs != NULL) {
        d = &PyTuple_GET_ITEM(argdefs, 0);
        nd = Py_SIZE(argdefs);
    }
    else {
        d = NULL;
        nd = 0;
    }
#if PY_MAJOR_VERSION >= 3
    result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
                               args, (int)nargs,
                               k, (int)nk,
                               d, (int)nd, kwdefs, closure);
#else
    result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
                               args, (int)nargs,
                               k, (int)nk,
                               d, (int)nd, closure);
#endif
    Py_XDECREF(kwtuple);
done:
    Py_LeaveRecursiveCall();
    return result;
}
#endif
#endif

/* PyObjectCall */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
    PyObject *result;
    ternaryfunc call = Py_TYPE(func)->tp_call;
    if (unlikely(!call))
        return PyObject_Call(func, arg, kw);
    if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
        return NULL;
    result = (*call)(func, arg, kw);
    Py_LeaveRecursiveCall();
    if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
        PyErr_SetString(
            PyExc_SystemError,
            "NULL result without error in PyObject_Call");
    }
    return result;
}
#endif

/* PyObjectCall2Args */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {
    PyObject *args, *result = NULL;
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(function)) {
        PyObject *args[2] = {arg1, arg2};
        return __Pyx_PyFunction_FastCall(function, args, 2);
    }
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(function)) {
        PyObject *args[2] = {arg1, arg2};
        return __Pyx_PyCFunction_FastCall(function, args, 2);
    }
    #endif
    args = PyTuple_New(2);
    if (unlikely(!args)) goto done;
    Py_INCREF(arg1);
    PyTuple_SET_ITEM(args, 0, arg1);
    Py_INCREF(arg2);
    PyTuple_SET_ITEM(args, 1, arg2);
    Py_INCREF(function);
    result = __Pyx_PyObject_Call(function, args, NULL);
    Py_DECREF(args);
    Py_DECREF(function);
done:
    return result;
}

/* PyObjectCallMethO */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
    PyObject *self, *result;
    PyCFunction cfunc;
    cfunc = PyCFunction_GET_FUNCTION(func);
    self = PyCFunction_GET_SELF(func);
    if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
        return NULL;
    result = cfunc(self, arg);
    Py_LeaveRecursiveCall();
    if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
        PyErr_SetString(
            PyExc_SystemError,
            "NULL result without error in PyObject_Call");
    }
    return result;
}
#endif

/* PyObjectCallOneArg */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
    PyObject *result;
    PyObject *args = PyTuple_New(1);
    if (unlikely(!args)) return NULL;
    Py_INCREF(arg);
    PyTuple_SET_ITEM(args, 0, arg);
    result = __Pyx_PyObject_Call(func, args, NULL);
    Py_DECREF(args);
    return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#if CYTHON_FAST_PYCALL
    if (PyFunction_Check(func)) {
        return __Pyx_PyFunction_FastCall(func, &arg, 1);
    }
#endif
    if (likely(PyCFunction_Check(func))) {
        if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
            return __Pyx_PyObject_CallMethO(func, arg);
#if CYTHON_FAST_PYCCALL
        } else if (__Pyx_PyFastCFunction_Check(func)) {
            return __Pyx_PyCFunction_FastCall(func, &arg, 1);
#endif
        }
    }
    return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
    PyObject *result;
    PyObject *args = PyTuple_Pack(1, arg);
    if (unlikely(!args)) return NULL;
    result = __Pyx_PyObject_Call(func, args, NULL);
    Py_DECREF(args);
    return result;
}
#endif

/* ExtTypeTest */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
    if (unlikely(!type)) {
        PyErr_SetString(PyExc_SystemError, "Missing type object");
        return 0;
    }
    if (likely(__Pyx_TypeCheck(obj, type)))
        return 1;
    PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
                 Py_TYPE(obj)->tp_name, type->tp_name);
    return 0;
}

/* PyDictVersioning */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {
    PyObject *dict = Py_TYPE(obj)->tp_dict;
    return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {
    PyObject **dictptr = NULL;
    Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;
    if (offset) {
#if CYTHON_COMPILING_IN_CPYTHON
        dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);
#else
        dictptr = _PyObject_GetDictPtr(obj);
#endif
    }
    return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;
}
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {
    PyObject *dict = Py_TYPE(obj)->tp_dict;
    if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))
        return 0;
    return obj_dict_version == __Pyx_get_object_dict_version(obj);
}
#endif

/* GetModuleGlobalName */
#if CYTHON_USE_DICT_VERSIONS
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)
#else
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)
#endif
{
    PyObject *result;
#if !CYTHON_AVOID_BORROWED_REFS
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
    result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
    __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
    if (likely(result)) {
        return __Pyx_NewRef(result);
    } else if (unlikely(PyErr_Occurred())) {
        return NULL;
    }
#else
    result = PyDict_GetItem(__pyx_d, name);
    __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
    if (likely(result)) {
        return __Pyx_NewRef(result);
    }
#endif
#else
    result = PyObject_GetItem(__pyx_d, name);
    __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
    if (likely(result)) {
        return __Pyx_NewRef(result);
    }
    PyErr_Clear();
#endif
    return __Pyx_GetBuiltinName(name);
}

/* RaiseArgTupleInvalid */
static void __Pyx_RaiseArgtupleInvalid(
    const char* func_name,
    int exact,
    Py_ssize_t num_min,
    Py_ssize_t num_max,
    Py_ssize_t num_found)
{
    Py_ssize_t num_expected;
    const char *more_or_less;
    if (num_found < num_min) {
        num_expected = num_min;
        more_or_less = "at least";
    } else {
        num_expected = num_max;
        more_or_less = "at most";
    }
    if (exact) {
        more_or_less = "exactly";
    }
    PyErr_Format(PyExc_TypeError,
                 "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)",
                 func_name, more_or_less, num_expected,
                 (num_expected == 1) ? "" : "s", num_found);
}

/* RaiseDoubleKeywords */
static void __Pyx_RaiseDoubleKeywordsError(
    const char* func_name,
    PyObject* kw_name)
{
    PyErr_Format(PyExc_TypeError,
        #if PY_MAJOR_VERSION >= 3
        "%s() got multiple values for keyword argument '%U'", func_name, kw_name);
        #else
        "%s() got multiple values for keyword argument '%s'", func_name,
        PyString_AsString(kw_name));
        #endif
}

/* ParseKeywords */
static int __Pyx_ParseOptionalKeywords(
    PyObject *kwds,
    PyObject **argnames[],
    PyObject *kwds2,
    PyObject *values[],
    Py_ssize_t num_pos_args,
    const char* function_name)
{
    PyObject *key = 0, *value = 0;
    Py_ssize_t pos = 0;
    PyObject*** name;
    PyObject*** first_kw_arg = argnames + num_pos_args;
    while (PyDict_Next(kwds, &pos, &key, &value)) {
        name = first_kw_arg;
        while (*name && (**name != key)) name++;
        if (*name) {
            values[name-argnames] = value;
            continue;
        }
        name = first_kw_arg;
        #if PY_MAJOR_VERSION < 3
        if (likely(PyString_Check(key))) {
            while (*name) {
                if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))
                        && _PyString_Eq(**name, key)) {
                    values[name-argnames] = value;
                    break;
                }
                name++;
            }
            if (*name) continue;
            else {
                PyObject*** argname = argnames;
                while (argname != first_kw_arg) {
                    if ((**argname == key) || (
                            (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))
                             && _PyString_Eq(**argname, key))) {
                        goto arg_passed_twice;
                    }
                    argname++;
                }
            }
        } else
        #endif
        if (likely(PyUnicode_Check(key))) {
            while (*name) {
                int cmp = (**name == key) ? 0 :
                #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
                    (__Pyx_PyUnicode_GET_LENGTH(**name) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 :
                #endif
                    PyUnicode_Compare(**name, key);
                if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
                if (cmp == 0) {
                    values[name-argnames] = value;
                    break;
                }
                name++;
            }
            if (*name) continue;
            else {
                PyObject*** argname = argnames;
                while (argname != first_kw_arg) {
                    int cmp = (**argname == key) ? 0 :
                    #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
                        (__Pyx_PyUnicode_GET_LENGTH(**argname) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 :
                    #endif
                        PyUnicode_Compare(**argname, key);
                    if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
                    if (cmp == 0) goto arg_passed_twice;
                    argname++;
                }
            }
        } else
            goto invalid_keyword_type;
        if (kwds2) {
            if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
        } else {
            goto invalid_keyword;
        }
    }
    return 0;
arg_passed_twice:
    __Pyx_RaiseDoubleKeywordsError(function_name, key);
    goto bad;
invalid_keyword_type:
    PyErr_Format(PyExc_TypeError,
        "%.200s() keywords must be strings", function_name);
    goto bad;
invalid_keyword:
    PyErr_Format(PyExc_TypeError,
    #if PY_MAJOR_VERSION < 3
        "%.200s() got an unexpected keyword argument '%.200s'",
        function_name, PyString_AsString(key));
    #else
        "%s() got an unexpected keyword argument '%U'",
        function_name, key);
    #endif
bad:
    return -1;
}

/* DictGetItem */
#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) {
    PyObject *value;
    value = PyDict_GetItemWithError(d, key);
    if (unlikely(!value)) {
        if (!PyErr_Occurred()) {
            if (unlikely(PyTuple_Check(key))) {
                PyObject* args = PyTuple_Pack(1, key);
                if (likely(args)) {
                    PyErr_SetObject(PyExc_KeyError, args);
                    Py_DECREF(args);
                }
            } else {
                PyErr_SetObject(PyExc_KeyError, key);
            }
        }
        return NULL;
    }
    Py_INCREF(value);
    return value;
}
#endif

/* None */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
    PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
}

/* GetItemInt */
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
    PyObject *r;
    if (!j) return NULL;
    r = PyObject_GetItem(o, j);
    Py_DECREF(j);
    return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
                                                              CYTHON_NCP_UNUSED int wraparound,
                                                              CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    Py_ssize_t wrapped_i = i;
    if (wraparound & unlikely(i < 0)) {
        wrapped_i += PyList_GET_SIZE(o);
    }
    if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {
        PyObject *r = PyList_GET_ITEM(o, wrapped_i);
        Py_INCREF(r);
        return r;
    }
    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
    return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
                                                              CYTHON_NCP_UNUSED int wraparound,
                                                              CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    Py_ssize_t wrapped_i = i;
    if (wraparound & unlikely(i < 0)) {
        wrapped_i += PyTuple_GET_SIZE(o);
    }
    if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {
        PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
        Py_INCREF(r);
        return r;
    }
    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
    return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
                                                     CYTHON_NCP_UNUSED int wraparound,
                                                     CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
    if (is_list || PyList_CheckExact(o)) {
        Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
        if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {
            PyObject *r = PyList_GET_ITEM(o, n);
            Py_INCREF(r);
            return r;
        }
    }
    else if (PyTuple_CheckExact(o)) {
        Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
        if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {
            PyObject *r = PyTuple_GET_ITEM(o, n);
            Py_INCREF(r);
            return r;
        }
    } else {
        PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
        if (likely(m && m->sq_item)) {
            if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
                Py_ssize_t l = m->sq_length(o);
                if (likely(l >= 0)) {
                    i += l;
                } else {
                    if (!PyErr_ExceptionMatches(PyExc_OverflowError))
                        return NULL;
                    PyErr_Clear();
                }
            }
            return m->sq_item(o, i);
        }
    }
#else
    if (is_list || PySequence_Check(o)) {
        return PySequence_GetItem(o, i);
    }
#endif
    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}

/* ObjectGetItem */
#if CYTHON_USE_TYPE_SLOTS
static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
    PyObject *runerr;
    Py_ssize_t key_value;
    PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
    if (unlikely(!(m && m->sq_item))) {
        PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
        return NULL;
    }
    key_value = __Pyx_PyIndex_AsSsize_t(index);
    if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
        return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
    }
    if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
        PyErr_Clear();
        PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
    }
    return NULL;
}
static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
    PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
    if (likely(m && m->mp_subscript)) {
        return m->mp_subscript(obj, key);
    }
    return __Pyx_PyObject_GetIndex(obj, key);
}
#endif

/* GetTopmostException */
#if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem *
__Pyx_PyErr_GetTopmostException(PyThreadState *tstate)
{
    _PyErr_StackItem *exc_info = tstate->exc_info;
    while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) &&
           exc_info->previous_item != NULL)
    {
        exc_info = exc_info->previous_item;
    }
    return exc_info;
}
#endif

/* SaveResetException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
    #if CYTHON_USE_EXC_INFO_STACK
    _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate);
    *type = exc_info->exc_type;
    *value = exc_info->exc_value;
    *tb = exc_info->exc_traceback;
    #else
    *type = tstate->exc_type;
    *value = tstate->exc_value;
    *tb = tstate->exc_traceback;
    #endif
    Py_XINCREF(*type);
    Py_XINCREF(*value);
    Py_XINCREF(*tb);
}
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    #if CYTHON_USE_EXC_INFO_STACK
    _PyErr_StackItem *exc_info = tstate->exc_info;
    tmp_type = exc_info->exc_type;
    tmp_value = exc_info->exc_value;
    tmp_tb = exc_info->exc_traceback;
    exc_info->exc_type = type;
    exc_info->exc_value = value;
    exc_info->exc_traceback = tb;
    #else
    tmp_type = tstate->exc_type;
    tmp_value = tstate->exc_value;
    tmp_tb = tstate->exc_traceback;
    tstate->exc_type = type;
    tstate->exc_value = value;
    tstate->exc_traceback = tb;
    #endif
    Py_XDECREF(tmp_type);
    Py_XDECREF(tmp_value);
    Py_XDECREF(tmp_tb);
}
#endif

/* PyErrExceptionMatches */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
    Py_ssize_t i, n;
    n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
    for (i=0; i<n; i++) {
        if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
    }
#endif
    for (i=0; i<n; i++) {
        if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
    }
    return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
    PyObject *exc_type = tstate->curexc_type;
    if (exc_type == err) return 1;
    if (unlikely(!exc_type)) return 0;
    if (unlikely(PyTuple_Check(err)))
        return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
    return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
}
#endif

/* GetException */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb)
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb)
#endif
{
    PyObject *local_type, *local_value, *local_tb;
#if CYTHON_FAST_THREAD_STATE
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    local_type = tstate->curexc_type;
    local_value = tstate->curexc_value;
    local_tb = tstate->curexc_traceback;
    tstate->curexc_type = 0;
    tstate->curexc_value = 0;
    tstate->curexc_traceback = 0;
#else
    PyErr_Fetch(&local_type, &local_value, &local_tb);
#endif
    PyErr_NormalizeException(&local_type, &local_value, &local_tb);
#if CYTHON_FAST_THREAD_STATE
    if (unlikely(tstate->curexc_type))
#else
    if (unlikely(PyErr_Occurred()))
#endif
        goto bad;
    #if PY_MAJOR_VERSION >= 3
    if (local_tb) {
        if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
            goto bad;
    }
    #endif
    Py_XINCREF(local_tb);
    Py_XINCREF(local_type);
    Py_XINCREF(local_value);
    *type = local_type;
    *value = local_value;
    *tb = local_tb;
#if CYTHON_FAST_THREAD_STATE
    #if CYTHON_USE_EXC_INFO_STACK
    {
        _PyErr_StackItem *exc_info = tstate->exc_info;
        tmp_type = exc_info->exc_type;
        tmp_value = exc_info->exc_value;
        tmp_tb = exc_info->exc_traceback;
        exc_info->exc_type = local_type;
        exc_info->exc_value = local_value;
        exc_info->exc_traceback = local_tb;
    }
    #else
    tmp_type = tstate->exc_type;
    tmp_value = tstate->exc_value;
    tmp_tb = tstate->exc_traceback;
    tstate->exc_type = local_type;
    tstate->exc_value = local_value;
    tstate->exc_traceback = local_tb;
    #endif
    Py_XDECREF(tmp_type);
    Py_XDECREF(tmp_value);
    Py_XDECREF(tmp_tb);
#else
    PyErr_SetExcInfo(local_type, local_value, local_tb);
#endif
    return 0;
bad:
    *type = 0;
    *value = 0;
    *tb = 0;
    Py_XDECREF(local_type);
    Py_XDECREF(local_value);
    Py_XDECREF(local_tb);
    return -1;
}

/* PyErrFetchRestore */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    tmp_type = tstate->curexc_type;
    tmp_value = tstate->curexc_value;
    tmp_tb = tstate->curexc_traceback;
    tstate->curexc_type = type;
    tstate->curexc_value = value;
    tstate->curexc_traceback = tb;
    Py_XDECREF(tmp_type);
    Py_XDECREF(tmp_value);
    Py_XDECREF(tmp_tb);
}
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
    *type = tstate->curexc_type;
    *value = tstate->curexc_value;
    *tb = tstate->curexc_traceback;
    tstate->curexc_type = 0;
    tstate->curexc_value = 0;
    tstate->curexc_traceback = 0;
}
#endif

/* RaiseException */
#if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
                        CYTHON_UNUSED PyObject *cause) {
    __Pyx_PyThreadState_declare
    Py_XINCREF(type);
    if (!value || value == Py_None)
        value = NULL;
    else
        Py_INCREF(value);
    if (!tb || tb == Py_None)
        tb = NULL;
    else {
        Py_INCREF(tb);
        if (!PyTraceBack_Check(tb)) {
            PyErr_SetString(PyExc_TypeError,
                "raise: arg 3 must be a traceback or None");
            goto raise_error;
        }
    }
    if (PyType_Check(type)) {
#if CYTHON_COMPILING_IN_PYPY
        if (!value) {
            Py_INCREF(Py_None);
            value = Py_None;
        }
#endif
        PyErr_NormalizeException(&type, &value, &tb);
    } else {
        if (value) {
            PyErr_SetString(PyExc_TypeError,
                "instance exception may not have a separate value");
            goto raise_error;
        }
        value = type;
        type = (PyObject*) Py_TYPE(type);
        Py_INCREF(type);
        if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
            PyErr_SetString(PyExc_TypeError,
                "raise: exception class must be a subclass of BaseException");
            goto raise_error;
        }
    }
    __Pyx_PyThreadState_assign
    __Pyx_ErrRestore(type, value, tb);
    return;
raise_error:
    Py_XDECREF(value);
    Py_XDECREF(type);
    Py_XDECREF(tb);
    return;
}
#else
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
    PyObject* owned_instance = NULL;
    if (tb == Py_None) {
        tb = 0;
    } else if (tb && !PyTraceBack_Check(tb)) {
        PyErr_SetString(PyExc_TypeError,
            "raise: arg 3 must be a traceback or None");
        goto bad;
    }
    if (value == Py_None)
        value = 0;
    if (PyExceptionInstance_Check(type)) {
        if (value) {
            PyErr_SetString(PyExc_TypeError,
                "instance exception may not have a separate value");
            goto bad;
        }
        value = type;
        type = (PyObject*) Py_TYPE(value);
    } else if (PyExceptionClass_Check(type)) {
        PyObject *instance_class = NULL;
        if (value && PyExceptionInstance_Check(value)) {
            instance_class = (PyObject*) Py_TYPE(value);
            if (instance_class != type) {
                int is_subclass = PyObject_IsSubclass(instance_class, type);
                if (!is_subclass) {
                    instance_class = NULL;
                } else if (unlikely(is_subclass == -1)) {
                    goto bad;
                } else {
                    type = instance_class;
                }
            }
        }
        if (!instance_class) {
            PyObject *args;
            if (!value)
                args = PyTuple_New(0);
            else if (PyTuple_Check(value)) {
                Py_INCREF(value);
                args = value;
            } else
                args = PyTuple_Pack(1, value);
            if (!args)
                goto bad;
            owned_instance = PyObject_Call(type, args, NULL);
            Py_DECREF(args);
            if (!owned_instance)
                goto bad;
            value = owned_instance;
            if (!PyExceptionInstance_Check(value)) {
                PyErr_Format(PyExc_TypeError,
                             "calling %R should have returned an instance of "
                             "BaseException, not %R",
                             type, Py_TYPE(value));
                goto bad;
            }
        }
    } else {
        PyErr_SetString(PyExc_TypeError,
            "raise: exception class must be a subclass of BaseException");
        goto bad;
    }
    if (cause) {
        PyObject *fixed_cause;
        if (cause == Py_None) {
            fixed_cause = NULL;
        } else if (PyExceptionClass_Check(cause)) {
            fixed_cause = PyObject_CallObject(cause, NULL);
            if (fixed_cause == NULL)
                goto bad;
        } else if (PyExceptionInstance_Check(cause)) {
            fixed_cause = cause;
            Py_INCREF(fixed_cause);
        } else {
            PyErr_SetString(PyExc_TypeError,
                            "exception causes must derive from "
                            "BaseException");
            goto bad;
        }
        PyException_SetCause(value, fixed_cause);
    }
    PyErr_SetObject(type, value);
    if (tb) {
#if CYTHON_COMPILING_IN_PYPY
        PyObject *tmp_type, *tmp_value, *tmp_tb;
        PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
        Py_INCREF(tb);
        PyErr_Restore(tmp_type, tmp_value, tb);
        Py_XDECREF(tmp_tb);
#else
        PyThreadState *tstate = __Pyx_PyThreadState_Current;
        PyObject* tmp_tb = tstate->curexc_traceback;
        if (tb != tmp_tb) {
            Py_INCREF(tb);
            tstate->curexc_traceback = tb;
            Py_XDECREF(tmp_tb);
        }
#endif
    }
bad:
    Py_XDECREF(owned_instance);
    return;
}
#endif

/* TypeImport */
#ifndef __PYX_HAVE_RT_ImportType
#define __PYX_HAVE_RT_ImportType
static PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name,
    size_t size, enum __Pyx_ImportType_CheckSize check_size)
{
    PyObject *result = 0;
    char warning[200];
    Py_ssize_t basicsize;
#ifdef Py_LIMITED_API
    PyObject *py_basicsize;
#endif
    result = PyObject_GetAttrString(module, class_name);
    if (!result)
        goto bad;
    if (!PyType_Check(result)) {
        PyErr_Format(PyExc_TypeError,
            "%.200s.%.200s is not a type object",
            module_name, class_name);
        goto bad;
    }
#ifndef Py_LIMITED_API
    basicsize = ((PyTypeObject *)result)->tp_basicsize;
#else
    py_basicsize = PyObject_GetAttrString(result, "__basicsize__");
    if (!py_basicsize)
        goto bad;
    basicsize = PyLong_AsSsize_t(py_basicsize);
    Py_DECREF(py_basicsize);
    py_basicsize = 0;
    if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())
        goto bad;
#endif
    if ((size_t)basicsize < size) {
        PyErr_Format(PyExc_ValueError,
            "%.200s.%.200s size changed, may indicate binary incompatibility. "
            "Expected %zd from C header, got %zd from PyObject",
            module_name, class_name, size, basicsize);
        goto bad;
    }
    if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) {
        PyErr_Format(PyExc_ValueError,
            "%.200s.%.200s size changed, may indicate binary incompatibility. "
            "Expected %zd from C header, got %zd from PyObject",
            module_name, class_name, size, basicsize);
        goto bad;
    }
    else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) {
        PyOS_snprintf(warning, sizeof(warning),
            "%s.%s size changed, may indicate binary incompatibility. "
            "Expected %zd from C header, got %zd from PyObject",
            module_name, class_name, size, basicsize);
        if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
    }
    return (PyTypeObject *)result;
bad:
    Py_XDECREF(result);
    return NULL;
}
#endif

/* Import */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
    PyObject *empty_list = 0;
    PyObject *module = 0;
    PyObject *global_dict = 0;
    PyObject *empty_dict = 0;
    PyObject *list;
    #if PY_MAJOR_VERSION < 3
    PyObject *py_import;
    py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
    if (!py_import)
        goto bad;
    #endif
    if (from_list)
        list = from_list;
    else {
        empty_list = PyList_New(0);
        if (!empty_list)
            goto bad;
        list = empty_list;
    }
    global_dict = PyModule_GetDict(__pyx_m);
    if (!global_dict)
        goto bad;
    empty_dict = PyDict_New();
    if (!empty_dict)
        goto bad;
    {
        #if PY_MAJOR_VERSION >= 3
        if (level == -1) {
            if ((1) && (strchr(__Pyx_MODULE_NAME, '.'))) {
                module = PyImport_ImportModuleLevelObject(
                    name, global_dict, empty_dict, list, 1);
                if (!module) {
                    if (!PyErr_ExceptionMatches(PyExc_ImportError))
                        goto bad;
                    PyErr_Clear();
                }
            }
            level = 0;
        }
        #endif
        if (!module) {
            #if PY_MAJOR_VERSION < 3
            PyObject *py_level = PyInt_FromLong(level);
            if (!py_level)
                goto bad;
            module = PyObject_CallFunctionObjArgs(py_import,
                name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);
            Py_DECREF(py_level);
            #else
            module = PyImport_ImportModuleLevelObject(
                name, global_dict, empty_dict, list, level);
            #endif
        }
    }
bad:
    #if PY_MAJOR_VERSION < 3
    Py_XDECREF(py_import);
    #endif
    Py_XDECREF(empty_list);
    Py_XDECREF(empty_dict);
    return module;
}

/* ImportFrom */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
    PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
    if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
        PyErr_Format(PyExc_ImportError,
        #if PY_MAJOR_VERSION < 3
            "cannot import name %.230s", PyString_AS_STRING(name));
        #else
            "cannot import name %S", name);
        #endif
    }
    return value;
}

/* CLineInTraceback */
#ifndef CYTHON_CLINE_IN_TRACEBACK
static int __Pyx_CLineForTraceback(CYTHON_NCP_UNUSED PyThreadState *tstate, int c_line) {
    PyObject *use_cline;
    PyObject *ptype, *pvalue, *ptraceback;
#if CYTHON_COMPILING_IN_CPYTHON
    PyObject **cython_runtime_dict;
#endif
    if (unlikely(!__pyx_cython_runtime)) {
        return c_line;
    }
    __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
#if CYTHON_COMPILING_IN_CPYTHON
    cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
    if (likely(cython_runtime_dict)) {
        __PYX_PY_DICT_LOOKUP_IF_MODIFIED(
            use_cline, *cython_runtime_dict,
            __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))
    } else
#endif
    {
      PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
      if (use_cline_obj) {
        use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
        Py_DECREF(use_cline_obj);
      } else {
        PyErr_Clear();
        use_cline = NULL;
      }
    }
    if (!use_cline) {
        c_line = 0;
        (void) PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
    }
    else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {
        c_line = 0;
    }
    __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
    return c_line;
}
#endif

/* CodeObjectCache */
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
    int start = 0, mid = 0, end = count - 1;
    if (end >= 0 && code_line > entries[end].code_line) {
        return count;
    }
    while (start < end) {
        mid = start + (end - start) / 2;
        if (code_line < entries[mid].code_line) {
            end = mid;
        } else if (code_line > entries[mid].code_line) {
             start = mid + 1;
        } else {
            return mid;
        }
    }
    if (code_line <= entries[mid].code_line) {
        return mid;
    } else {
        return mid + 1;
    }
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
    PyCodeObject* code_object;
    int pos;
    if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
        return NULL;
    }
    pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
    if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
        return NULL;
    }
    code_object = __pyx_code_cache.entries[pos].code_object;
    Py_INCREF(code_object);
    return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
    int pos, i;
    __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
    if (unlikely(!code_line)) {
        return;
    }
    if (unlikely(!entries)) {
        entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
        if (likely(entries)) {
            __pyx_code_cache.entries = entries;
            __pyx_code_cache.max_count = 64;
            __pyx_code_cache.count = 1;
            entries[0].code_line = code_line;
            entries[0].code_object = code_object;
            Py_INCREF(code_object);
        }
        return;
    }
    pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
    if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
        PyCodeObject* tmp = entries[pos].code_object;
        entries[pos].code_object = code_object;
        Py_DECREF(tmp);
        return;
    }
    if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
        int new_max = __pyx_code_cache.max_count + 64;
        entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
            __pyx_code_cache.entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry));
        if (unlikely(!entries)) {
            return;
        }
        __pyx_code_cache.entries = entries;
        __pyx_code_cache.max_count = new_max;
    }
    for (i=__pyx_code_cache.count; i>pos; i--) {
        entries[i] = entries[i-1];
    }
    entries[pos].code_line = code_line;
    entries[pos].code_object = code_object;
    __pyx_code_cache.count++;
    Py_INCREF(code_object);
}

/* AddTraceback */
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
#if PY_VERSION_HEX >= 0x030b00a6
  #ifndef Py_BUILD_CORE
    #define Py_BUILD_CORE 1
  #endif
  #include "internal/pycore_frame.h"
#endif
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
            const char *funcname, int c_line,
            int py_line, const char *filename) {
    PyCodeObject *py_code = NULL;
    PyObject *py_funcname = NULL;
    #if PY_MAJOR_VERSION < 3
    PyObject *py_srcfile = NULL;
    py_srcfile = PyString_FromString(filename);
    if (!py_srcfile) goto bad;
    #endif
    if (c_line) {
        #if PY_MAJOR_VERSION < 3
        py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
        if (!py_funcname) goto bad;
        #else
        py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
        if (!py_funcname) goto bad;
        funcname = PyUnicode_AsUTF8(py_funcname);
        if (!funcname) goto bad;
        #endif
    }
    else {
        #if PY_MAJOR_VERSION < 3
        py_funcname = PyString_FromString(funcname);
        if (!py_funcname) goto bad;
        #endif
    }
    #if PY_MAJOR_VERSION < 3
    py_code = __Pyx_PyCode_New(
        0,
        0,
        0,
        0,
        0,
        __pyx_empty_bytes, /*PyObject *code,*/
        __pyx_empty_tuple, /*PyObject *consts,*/
        __pyx_empty_tuple, /*PyObject *names,*/
        __pyx_empty_tuple, /*PyObject *varnames,*/
        __pyx_empty_tuple, /*PyObject *freevars,*/
        __pyx_empty_tuple, /*PyObject *cellvars,*/
        py_srcfile,   /*PyObject *filename,*/
        py_funcname,  /*PyObject *name,*/
        py_line,
        __pyx_empty_bytes  /*PyObject *lnotab*/
    );
    Py_DECREF(py_srcfile);
    #else
    py_code = PyCode_NewEmpty(filename, funcname, py_line);
    #endif
    Py_XDECREF(py_funcname);  // XDECREF since it's only set on Py3 if cline
    return py_code;
bad:
    Py_XDECREF(py_funcname);
    #if PY_MAJOR_VERSION < 3
    Py_XDECREF(py_srcfile);
    #endif
    return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
                               int py_line, const char *filename) {
    PyCodeObject *py_code = 0;
    PyFrameObject *py_frame = 0;
    PyThreadState *tstate = __Pyx_PyThreadState_Current;
    PyObject *ptype, *pvalue, *ptraceback;
    if (c_line) {
        c_line = __Pyx_CLineForTraceback(tstate, c_line);
    }
    py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
    if (!py_code) {
        __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
        py_code = __Pyx_CreateCodeObjectForTraceback(
            funcname, c_line, py_line, filename);
        if (!py_code) {
            /* If the code object creation fails, then we should clear the
               fetched exception references and propagate the new exception */
            Py_XDECREF(ptype);
            Py_XDECREF(pvalue);
            Py_XDECREF(ptraceback);
            goto bad;
        }
        __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
        __pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
    }
    py_frame = PyFrame_New(
        tstate,            /*PyThreadState *tstate,*/
        py_code,           /*PyCodeObject *code,*/
        __pyx_d,    /*PyObject *globals,*/
        0                  /*PyObject *locals*/
    );
    if (!py_frame) goto bad;
    __Pyx_PyFrame_SetLineNumber(py_frame, py_line);
    PyTraceBack_Here(py_frame);
bad:
    Py_XDECREF(py_code);
    Py_XDECREF(py_frame);
}

/* CIntFromPyVerify */
#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
    __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
    __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
    {\
        func_type value = func_value;\
        if (sizeof(target_type) < sizeof(func_type)) {\
            if (unlikely(value != (func_type) (target_type) value)) {\
                func_type zero = 0;\
                if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
                    return (target_type) -1;\
                if (is_unsigned && unlikely(value < zero))\
                    goto raise_neg_overflow;\
                else\
                    goto raise_overflow;\
            }\
        }\
        return (target_type) value;\
    }

/* Declarations */
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
      return ::std::complex< float >(x, y);
    }
  #else
    static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
      return x + y*(__pyx_t_float_complex)_Complex_I;
    }
  #endif
#else
    static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
      __pyx_t_float_complex z;
      z.real = x;
      z.imag = y;
      return z;
    }
#endif

/* Arithmetic */
#if CYTHON_CCOMPLEX
#else
    static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
       return (a.real == b.real) && (a.imag == b.imag);
    }
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
        __pyx_t_float_complex z;
        z.real = a.real + b.real;
        z.imag = a.imag + b.imag;
        return z;
    }
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
        __pyx_t_float_complex z;
        z.real = a.real - b.real;
        z.imag = a.imag - b.imag;
        return z;
    }
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
        __pyx_t_float_complex z;
        z.real = a.real * b.real - a.imag * b.imag;
        z.imag = a.real * b.imag + a.imag * b.real;
        return z;
    }
    #if 1
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
        if (b.imag == 0) {
            return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
        } else if (fabsf(b.real) >= fabsf(b.imag)) {
            if (b.real == 0 && b.imag == 0) {
                return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag);
            } else {
                float r = b.imag / b.real;
                float s = (float)(1.0) / (b.real + b.imag * r);
                return __pyx_t_float_complex_from_parts(
                    (a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
            }
        } else {
            float r = b.real / b.imag;
            float s = (float)(1.0) / (b.imag + b.real * r);
            return __pyx_t_float_complex_from_parts(
                (a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
        }
    }
    #else
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
        if (b.imag == 0) {
            return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
        } else {
            float denom = b.real * b.real + b.imag * b.imag;
            return __pyx_t_float_complex_from_parts(
                (a.real * b.real + a.imag * b.imag) / denom,
                (a.imag * b.real - a.real * b.imag) / denom);
        }
    }
    #endif
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) {
        __pyx_t_float_complex z;
        z.real = -a.real;
        z.imag = -a.imag;
        return z;
    }
    static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) {
       return (a.real == 0) && (a.imag == 0);
    }
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) {
        __pyx_t_float_complex z;
        z.real =  a.real;
        z.imag = -a.imag;
        return z;
    }
    #if 1
        static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) {
          #if !defined(HAVE_HYPOT) || defined(_MSC_VER)
            return sqrtf(z.real*z.real + z.imag*z.imag);
          #else
            return hypotf(z.real, z.imag);
          #endif
        }
        static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
            __pyx_t_float_complex z;
            float r, lnr, theta, z_r, z_theta;
            if (b.imag == 0 && b.real == (int)b.real) {
                if (b.real < 0) {
                    float denom = a.real * a.real + a.imag * a.imag;
                    a.real = a.real / denom;
                    a.imag = -a.imag / denom;
                    b.real = -b.real;
                }
                switch ((int)b.real) {
                    case 0:
                        z.real = 1;
                        z.imag = 0;
                        return z;
                    case 1:
                        return a;
                    case 2:
                        return __Pyx_c_prod_float(a, a);
                    case 3:
                        z = __Pyx_c_prod_float(a, a);
                        return __Pyx_c_prod_float(z, a);
                    case 4:
                        z = __Pyx_c_prod_float(a, a);
                        return __Pyx_c_prod_float(z, z);
                }
            }
            if (a.imag == 0) {
                if (a.real == 0) {
                    return a;
                } else if (b.imag == 0) {
                    z.real = powf(a.real, b.real);
                    z.imag = 0;
                    return z;
                } else if (a.real > 0) {
                    r = a.real;
                    theta = 0;
                } else {
                    r = -a.real;
                    theta = atan2f(0.0, -1.0);
                }
            } else {
                r = __Pyx_c_abs_float(a);
                theta = atan2f(a.imag, a.real);
            }
            lnr = logf(r);
            z_r = expf(lnr * b.real - theta * b.imag);
            z_theta = theta * b.real + lnr * b.imag;
            z.real = z_r * cosf(z_theta);
            z.imag = z_r * sinf(z_theta);
            return z;
        }
    #endif
#endif

/* Declarations */
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
      return ::std::complex< double >(x, y);
    }
  #else
    static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
      return x + y*(__pyx_t_double_complex)_Complex_I;
    }
  #endif
#else
    static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
      __pyx_t_double_complex z;
      z.real = x;
      z.imag = y;
      return z;
    }
#endif

/* Arithmetic */
#if CYTHON_CCOMPLEX
#else
    static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
       return (a.real == b.real) && (a.imag == b.imag);
    }
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
        __pyx_t_double_complex z;
        z.real = a.real + b.real;
        z.imag = a.imag + b.imag;
        return z;
    }
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
        __pyx_t_double_complex z;
        z.real = a.real - b.real;
        z.imag = a.imag - b.imag;
        return z;
    }
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
        __pyx_t_double_complex z;
        z.real = a.real * b.real - a.imag * b.imag;
        z.imag = a.real * b.imag + a.imag * b.real;
        return z;
    }
    #if 1
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
        if (b.imag == 0) {
            return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
        } else if (fabs(b.real) >= fabs(b.imag)) {
            if (b.real == 0 && b.imag == 0) {
                return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag);
            } else {
                double r = b.imag / b.real;
                double s = (double)(1.0) / (b.real + b.imag * r);
                return __pyx_t_double_complex_from_parts(
                    (a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
            }
        } else {
            double r = b.real / b.imag;
            double s = (double)(1.0) / (b.imag + b.real * r);
            return __pyx_t_double_complex_from_parts(
                (a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
        }
    }
    #else
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
        if (b.imag == 0) {
            return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
        } else {
            double denom = b.real * b.real + b.imag * b.imag;
            return __pyx_t_double_complex_from_parts(
                (a.real * b.real + a.imag * b.imag) / denom,
                (a.imag * b.real - a.real * b.imag) / denom);
        }
    }
    #endif
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) {
        __pyx_t_double_complex z;
        z.real = -a.real;
        z.imag = -a.imag;
        return z;
    }
    static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) {
       return (a.real == 0) && (a.imag == 0);
    }
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) {
        __pyx_t_double_complex z;
        z.real =  a.real;
        z.imag = -a.imag;
        return z;
    }
    #if 1
        static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) {
          #if !defined(HAVE_HYPOT) || defined(_MSC_VER)
            return sqrt(z.real*z.real + z.imag*z.imag);
          #else
            return hypot(z.real, z.imag);
          #endif
        }
        static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
            __pyx_t_double_complex z;
            double r, lnr, theta, z_r, z_theta;
            if (b.imag == 0 && b.real == (int)b.real) {
                if (b.real < 0) {
                    double denom = a.real * a.real + a.imag * a.imag;
                    a.real = a.real / denom;
                    a.imag = -a.imag / denom;
                    b.real = -b.real;
                }
                switch ((int)b.real) {
                    case 0:
                        z.real = 1;
                        z.imag = 0;
                        return z;
                    case 1:
                        return a;
                    case 2:
                        return __Pyx_c_prod_double(a, a);
                    case 3:
                        z = __Pyx_c_prod_double(a, a);
                        return __Pyx_c_prod_double(z, a);
                    case 4:
                        z = __Pyx_c_prod_double(a, a);
                        return __Pyx_c_prod_double(z, z);
                }
            }
            if (a.imag == 0) {
                if (a.real == 0) {
                    return a;
                } else if (b.imag == 0) {
                    z.real = pow(a.real, b.real);
                    z.imag = 0;
                    return z;
                } else if (a.real > 0) {
                    r = a.real;
                    theta = 0;
                } else {
                    r = -a.real;
                    theta = atan2(0.0, -1.0);
                }
            } else {
                r = __Pyx_c_abs_double(a);
                theta = atan2(a.imag, a.real);
            }
            lnr = log(r);
            z_r = exp(lnr * b.real - theta * b.imag);
            z_theta = theta * b.real + lnr * b.imag;
            z.real = z_r * cos(z_theta);
            z.imag = z_r * sin(z_theta);
            return z;
        }
    #endif
#endif

/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
    const int neg_one = (int) -1, const_zero = (int) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(int) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(int) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(int) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(int),
                                     little, !is_unsigned);
    }
}

/* CIntFromPy */
static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_As_PY_LONG_LONG(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
    const PY_LONG_LONG neg_one = (PY_LONG_LONG) -1, const_zero = (PY_LONG_LONG) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
    const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
    if (likely(PyInt_Check(x))) {
        if (sizeof(PY_LONG_LONG) < sizeof(long)) {
            __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, long, PyInt_AS_LONG(x))
        } else {
            long val = PyInt_AS_LONG(x);
            if (is_unsigned && unlikely(val < 0)) {
                goto raise_neg_overflow;
            }
            return (PY_LONG_LONG) val;
        }
    } else
#endif
    if (likely(PyLong_Check(x))) {
        if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (PY_LONG_LONG) 0;
                case  1: __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, digit, digits[0])
                case 2:
                    if (8 * sizeof(PY_LONG_LONG) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(PY_LONG_LONG) >= 2 * PyLong_SHIFT) {
                            return (PY_LONG_LONG) (((((PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0]));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(PY_LONG_LONG) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(PY_LONG_LONG) >= 3 * PyLong_SHIFT) {
                            return (PY_LONG_LONG) (((((((PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0]));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(PY_LONG_LONG) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(PY_LONG_LONG) >= 4 * PyLong_SHIFT) {
                            return (PY_LONG_LONG) (((((((((PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0]));
                        }
                    }
                    break;
            }
#endif
#if CYTHON_COMPILING_IN_CPYTHON
            if (unlikely(Py_SIZE(x) < 0)) {
                goto raise_neg_overflow;
            }
#else
            {
                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
                if (unlikely(result < 0))
                    return (PY_LONG_LONG) -1;
                if (unlikely(result == 1))
                    goto raise_neg_overflow;
            }
#endif
            if (sizeof(PY_LONG_LONG) <= sizeof(unsigned long)) {
                __PYX_VERIFY_RETURN_INT_EXC(PY_LONG_LONG, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(PY_LONG_LONG) <= sizeof(unsigned PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(PY_LONG_LONG, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
            }
        } else {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (PY_LONG_LONG) 0;
                case -1: __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, sdigit, (sdigit) (-(sdigit)digits[0]))
                case  1: __PYX_VERIFY_RETURN_INT(PY_LONG_LONG,  digit, +digits[0])
                case -2:
                    if (8 * sizeof(PY_LONG_LONG) - 1 > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                            return (PY_LONG_LONG) (((PY_LONG_LONG)-1)*(((((PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0])));
                        }
                    }
                    break;
                case 2:
                    if (8 * sizeof(PY_LONG_LONG) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                            return (PY_LONG_LONG) ((((((PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0])));
                        }
                    }
                    break;
                case -3:
                    if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                            return (PY_LONG_LONG) (((PY_LONG_LONG)-1)*(((((((PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0])));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(PY_LONG_LONG) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                            return (PY_LONG_LONG) ((((((((PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0])));
                        }
                    }
                    break;
                case -4:
                    if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
                            return (PY_LONG_LONG) (((PY_LONG_LONG)-1)*(((((((((PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0])));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(PY_LONG_LONG) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
                            return (PY_LONG_LONG) ((((((((((PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0])));
                        }
                    }
                    break;
            }
#endif
            if (sizeof(PY_LONG_LONG) <= sizeof(long)) {
                __PYX_VERIFY_RETURN_INT_EXC(PY_LONG_LONG, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(PY_LONG_LONG) <= sizeof(PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(PY_LONG_LONG, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
            }
        }
        {
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
            PyErr_SetString(PyExc_RuntimeError,
                            "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
            PY_LONG_LONG val;
            PyObject *v = __Pyx_PyNumber_IntOrLong(x);
 #if PY_MAJOR_VERSION < 3
            if (likely(v) && !PyLong_Check(v)) {
                PyObject *tmp = v;
                v = PyNumber_Long(tmp);
                Py_DECREF(tmp);
            }
 #endif
            if (likely(v)) {
                int one = 1; int is_little = (int)*(unsigned char *)&one;
                unsigned char *bytes = (unsigned char *)&val;
                int ret = _PyLong_AsByteArray((PyLongObject *)v,
                                              bytes, sizeof(val),
                                              is_little, !is_unsigned);
                Py_DECREF(v);
                if (likely(!ret))
                    return val;
            }
#endif
            return (PY_LONG_LONG) -1;
        }
    } else {
        PY_LONG_LONG val;
        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
        if (!tmp) return (PY_LONG_LONG) -1;
        val = __Pyx_PyInt_As_PY_LONG_LONG(tmp);
        Py_DECREF(tmp);
        return val;
    }
raise_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "value too large to convert to PY_LONG_LONG");
    return (PY_LONG_LONG) -1;
raise_neg_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "can't convert negative value to PY_LONG_LONG");
    return (PY_LONG_LONG) -1;
}

/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
    const long neg_one = (long) -1, const_zero = (long) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(long) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(long) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(long) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(long),
                                     little, !is_unsigned);
    }
}

/* CIntFromPy */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
    const int neg_one = (int) -1, const_zero = (int) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
    const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
    if (likely(PyInt_Check(x))) {
        if (sizeof(int) < sizeof(long)) {
            __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
        } else {
            long val = PyInt_AS_LONG(x);
            if (is_unsigned && unlikely(val < 0)) {
                goto raise_neg_overflow;
            }
            return (int) val;
        }
    } else
#endif
    if (likely(PyLong_Check(x))) {
        if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (int) 0;
                case  1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
                case 2:
                    if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
                            return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
                            return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
                            return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
                        }
                    }
                    break;
            }
#endif
#if CYTHON_COMPILING_IN_CPYTHON
            if (unlikely(Py_SIZE(x) < 0)) {
                goto raise_neg_overflow;
            }
#else
            {
                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
                if (unlikely(result < 0))
                    return (int) -1;
                if (unlikely(result == 1))
                    goto raise_neg_overflow;
            }
#endif
            if (sizeof(int) <= sizeof(unsigned long)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
            }
        } else {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (int) 0;
                case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
                case  1: __PYX_VERIFY_RETURN_INT(int,  digit, +digits[0])
                case -2:
                    if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
                            return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case 2:
                    if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
                            return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case -3:
                    if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
                            return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
                            return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case -4:
                    if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
                            return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
                            return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
            }
#endif
            if (sizeof(int) <= sizeof(long)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
            }
        }
        {
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
            PyErr_SetString(PyExc_RuntimeError,
                            "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
            int val;
            PyObject *v = __Pyx_PyNumber_IntOrLong(x);
 #if PY_MAJOR_VERSION < 3
            if (likely(v) && !PyLong_Check(v)) {
                PyObject *tmp = v;
                v = PyNumber_Long(tmp);
                Py_DECREF(tmp);
            }
 #endif
            if (likely(v)) {
                int one = 1; int is_little = (int)*(unsigned char *)&one;
                unsigned char *bytes = (unsigned char *)&val;
                int ret = _PyLong_AsByteArray((PyLongObject *)v,
                                              bytes, sizeof(val),
                                              is_little, !is_unsigned);
                Py_DECREF(v);
                if (likely(!ret))
                    return val;
            }
#endif
            return (int) -1;
        }
    } else {
        int val;
        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
        if (!tmp) return (int) -1;
        val = __Pyx_PyInt_As_int(tmp);
        Py_DECREF(tmp);
        return val;
    }
raise_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "value too large to convert to int");
    return (int) -1;
raise_neg_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "can't convert negative value to int");
    return (int) -1;
}

/* CIntFromPy */
static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_As_unsigned_PY_LONG_LONG(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
    const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG) -1, const_zero = (unsigned PY_LONG_LONG) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
    const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
    if (likely(PyInt_Check(x))) {
        if (sizeof(unsigned PY_LONG_LONG) < sizeof(long)) {
            __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, long, PyInt_AS_LONG(x))
        } else {
            long val = PyInt_AS_LONG(x);
            if (is_unsigned && unlikely(val < 0)) {
                goto raise_neg_overflow;
            }
            return (unsigned PY_LONG_LONG) val;
        }
    } else
#endif
    if (likely(PyLong_Check(x))) {
        if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (unsigned PY_LONG_LONG) 0;
                case  1: __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, digit, digits[0])
                case 2:
                    if (8 * sizeof(unsigned PY_LONG_LONG) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(unsigned PY_LONG_LONG) >= 2 * PyLong_SHIFT) {
                            return (unsigned PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(unsigned PY_LONG_LONG) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(unsigned PY_LONG_LONG) >= 3 * PyLong_SHIFT) {
                            return (unsigned PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(unsigned PY_LONG_LONG) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(unsigned PY_LONG_LONG) >= 4 * PyLong_SHIFT) {
                            return (unsigned PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        }
                    }
                    break;
            }
#endif
#if CYTHON_COMPILING_IN_CPYTHON
            if (unlikely(Py_SIZE(x) < 0)) {
                goto raise_neg_overflow;
            }
#else
            {
                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
                if (unlikely(result < 0))
                    return (unsigned PY_LONG_LONG) -1;
                if (unlikely(result == 1))
                    goto raise_neg_overflow;
            }
#endif
            if (sizeof(unsigned PY_LONG_LONG) <= sizeof(unsigned long)) {
                __PYX_VERIFY_RETURN_INT_EXC(unsigned PY_LONG_LONG, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(unsigned PY_LONG_LONG) <= sizeof(unsigned PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
            }
        } else {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (unsigned PY_LONG_LONG) 0;
                case -1: __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, sdigit, (sdigit) (-(sdigit)digits[0]))
                case  1: __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG,  digit, +digits[0])
                case -2:
                    if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                            return (unsigned PY_LONG_LONG) (((unsigned PY_LONG_LONG)-1)*(((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])));
                        }
                    }
                    break;
                case 2:
                    if (8 * sizeof(unsigned PY_LONG_LONG) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                            return (unsigned PY_LONG_LONG) ((((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])));
                        }
                    }
                    break;
                case -3:
                    if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                            return (unsigned PY_LONG_LONG) (((unsigned PY_LONG_LONG)-1)*(((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(unsigned PY_LONG_LONG) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                            return (unsigned PY_LONG_LONG) ((((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])));
                        }
                    }
                    break;
                case -4:
                    if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
                            return (unsigned PY_LONG_LONG) (((unsigned PY_LONG_LONG)-1)*(((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(unsigned PY_LONG_LONG) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
                            return (unsigned PY_LONG_LONG) ((((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])));
                        }
                    }
                    break;
            }
#endif
            if (sizeof(unsigned PY_LONG_LONG) <= sizeof(long)) {
                __PYX_VERIFY_RETURN_INT_EXC(unsigned PY_LONG_LONG, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(unsigned PY_LONG_LONG) <= sizeof(PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(unsigned PY_LONG_LONG, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
            }
        }
        {
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
            PyErr_SetString(PyExc_RuntimeError,
                            "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
            unsigned PY_LONG_LONG val;
            PyObject *v = __Pyx_PyNumber_IntOrLong(x);
 #if PY_MAJOR_VERSION < 3
            if (likely(v) && !PyLong_Check(v)) {
                PyObject *tmp = v;
                v = PyNumber_Long(tmp);
                Py_DECREF(tmp);
            }
 #endif
            if (likely(v)) {
                int one = 1; int is_little = (int)*(unsigned char *)&one;
                unsigned char *bytes = (unsigned char *)&val;
                int ret = _PyLong_AsByteArray((PyLongObject *)v,
                                              bytes, sizeof(val),
                                              is_little, !is_unsigned);
                Py_DECREF(v);
                if (likely(!ret))
                    return val;
            }
#endif
            return (unsigned PY_LONG_LONG) -1;
        }
    } else {
        unsigned PY_LONG_LONG val;
        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
        if (!tmp) return (unsigned PY_LONG_LONG) -1;
        val = __Pyx_PyInt_As_unsigned_PY_LONG_LONG(tmp);
        Py_DECREF(tmp);
        return val;
    }
raise_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "value too large to convert to unsigned PY_LONG_LONG");
    return (unsigned PY_LONG_LONG) -1;
raise_neg_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "can't convert negative value to unsigned PY_LONG_LONG");
    return (unsigned PY_LONG_LONG) -1;
}

/* CIntFromPy */
static CYTHON_INLINE npy_uint32 __Pyx_PyInt_As_npy_uint32(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
    const npy_uint32 neg_one = (npy_uint32) -1, const_zero = (npy_uint32) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
    const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
    if (likely(PyInt_Check(x))) {
        if (sizeof(npy_uint32) < sizeof(long)) {
            __PYX_VERIFY_RETURN_INT(npy_uint32, long, PyInt_AS_LONG(x))
        } else {
            long val = PyInt_AS_LONG(x);
            if (is_unsigned && unlikely(val < 0)) {
                goto raise_neg_overflow;
            }
            return (npy_uint32) val;
        }
    } else
#endif
    if (likely(PyLong_Check(x))) {
        if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (npy_uint32) 0;
                case  1: __PYX_VERIFY_RETURN_INT(npy_uint32, digit, digits[0])
                case 2:
                    if (8 * sizeof(npy_uint32) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(npy_uint32) >= 2 * PyLong_SHIFT) {
                            return (npy_uint32) (((((npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0]));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(npy_uint32) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(npy_uint32) >= 3 * PyLong_SHIFT) {
                            return (npy_uint32) (((((((npy_uint32)digits[2]) << PyLong_SHIFT) | (npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0]));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(npy_uint32) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(npy_uint32) >= 4 * PyLong_SHIFT) {
                            return (npy_uint32) (((((((((npy_uint32)digits[3]) << PyLong_SHIFT) | (npy_uint32)digits[2]) << PyLong_SHIFT) | (npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0]));
                        }
                    }
                    break;
            }
#endif
#if CYTHON_COMPILING_IN_CPYTHON
            if (unlikely(Py_SIZE(x) < 0)) {
                goto raise_neg_overflow;
            }
#else
            {
                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
                if (unlikely(result < 0))
                    return (npy_uint32) -1;
                if (unlikely(result == 1))
                    goto raise_neg_overflow;
            }
#endif
            if (sizeof(npy_uint32) <= sizeof(unsigned long)) {
                __PYX_VERIFY_RETURN_INT_EXC(npy_uint32, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(npy_uint32) <= sizeof(unsigned PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(npy_uint32, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
            }
        } else {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (npy_uint32) 0;
                case -1: __PYX_VERIFY_RETURN_INT(npy_uint32, sdigit, (sdigit) (-(sdigit)digits[0]))
                case  1: __PYX_VERIFY_RETURN_INT(npy_uint32,  digit, +digits[0])
                case -2:
                    if (8 * sizeof(npy_uint32) - 1 > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(npy_uint32, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(npy_uint32) - 1 > 2 * PyLong_SHIFT) {
                            return (npy_uint32) (((npy_uint32)-1)*(((((npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0])));
                        }
                    }
                    break;
                case 2:
                    if (8 * sizeof(npy_uint32) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(npy_uint32) - 1 > 2 * PyLong_SHIFT) {
                            return (npy_uint32) ((((((npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0])));
                        }
                    }
                    break;
                case -3:
                    if (8 * sizeof(npy_uint32) - 1 > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(npy_uint32, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(npy_uint32) - 1 > 3 * PyLong_SHIFT) {
                            return (npy_uint32) (((npy_uint32)-1)*(((((((npy_uint32)digits[2]) << PyLong_SHIFT) | (npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0])));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(npy_uint32) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(npy_uint32) - 1 > 3 * PyLong_SHIFT) {
                            return (npy_uint32) ((((((((npy_uint32)digits[2]) << PyLong_SHIFT) | (npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0])));
                        }
                    }
                    break;
                case -4:
                    if (8 * sizeof(npy_uint32) - 1 > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(npy_uint32, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(npy_uint32) - 1 > 4 * PyLong_SHIFT) {
                            return (npy_uint32) (((npy_uint32)-1)*(((((((((npy_uint32)digits[3]) << PyLong_SHIFT) | (npy_uint32)digits[2]) << PyLong_SHIFT) | (npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0])));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(npy_uint32) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(npy_uint32) - 1 > 4 * PyLong_SHIFT) {
                            return (npy_uint32) ((((((((((npy_uint32)digits[3]) << PyLong_SHIFT) | (npy_uint32)digits[2]) << PyLong_SHIFT) | (npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0])));
                        }
                    }
                    break;
            }
#endif
            if (sizeof(npy_uint32) <= sizeof(long)) {
                __PYX_VERIFY_RETURN_INT_EXC(npy_uint32, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(npy_uint32) <= sizeof(PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(npy_uint32, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
            }
        }
        {
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
            PyErr_SetString(PyExc_RuntimeError,
                            "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
            npy_uint32 val;
            PyObject *v = __Pyx_PyNumber_IntOrLong(x);
 #if PY_MAJOR_VERSION < 3
            if (likely(v) && !PyLong_Check(v)) {
                PyObject *tmp = v;
                v = PyNumber_Long(tmp);
                Py_DECREF(tmp);
            }
 #endif
            if (likely(v)) {
                int one = 1; int is_little = (int)*(unsigned char *)&one;
                unsigned char *bytes = (unsigned char *)&val;
                int ret = _PyLong_AsByteArray((PyLongObject *)v,
                                              bytes, sizeof(val),
                                              is_little, !is_unsigned);
                Py_DECREF(v);
                if (likely(!ret))
                    return val;
            }
#endif
            return (npy_uint32) -1;
        }
    } else {
        npy_uint32 val;
        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
        if (!tmp) return (npy_uint32) -1;
        val = __Pyx_PyInt_As_npy_uint32(tmp);
        Py_DECREF(tmp);
        return val;
    }
raise_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "value too large to convert to npy_uint32");
    return (npy_uint32) -1;
raise_neg_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "can't convert negative value to npy_uint32");
    return (npy_uint32) -1;
}

/* CIntFromPy */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
    const long neg_one = (long) -1, const_zero = (long) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
    const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
    if (likely(PyInt_Check(x))) {
        if (sizeof(long) < sizeof(long)) {
            __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
        } else {
            long val = PyInt_AS_LONG(x);
            if (is_unsigned && unlikely(val < 0)) {
                goto raise_neg_overflow;
            }
            return (long) val;
        }
    } else
#endif
    if (likely(PyLong_Check(x))) {
        if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (long) 0;
                case  1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
                case 2:
                    if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
                            return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
                            return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
                            return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
                        }
                    }
                    break;
            }
#endif
#if CYTHON_COMPILING_IN_CPYTHON
            if (unlikely(Py_SIZE(x) < 0)) {
                goto raise_neg_overflow;
            }
#else
            {
                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
                if (unlikely(result < 0))
                    return (long) -1;
                if (unlikely(result == 1))
                    goto raise_neg_overflow;
            }
#endif
            if (sizeof(long) <= sizeof(unsigned long)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
            }
        } else {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (long) 0;
                case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
                case  1: __PYX_VERIFY_RETURN_INT(long,  digit, +digits[0])
                case -2:
                    if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                            return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case 2:
                    if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                            return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case -3:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                            return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                            return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case -4:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                            return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                            return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
            }
#endif
            if (sizeof(long) <= sizeof(long)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
            }
        }
        {
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
            PyErr_SetString(PyExc_RuntimeError,
                            "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
            long val;
            PyObject *v = __Pyx_PyNumber_IntOrLong(x);
 #if PY_MAJOR_VERSION < 3
            if (likely(v) && !PyLong_Check(v)) {
                PyObject *tmp = v;
                v = PyNumber_Long(tmp);
                Py_DECREF(tmp);
            }
 #endif
            if (likely(v)) {
                int one = 1; int is_little = (int)*(unsigned char *)&one;
                unsigned char *bytes = (unsigned char *)&val;
                int ret = _PyLong_AsByteArray((PyLongObject *)v,
                                              bytes, sizeof(val),
                                              is_little, !is_unsigned);
                Py_DECREF(v);
                if (likely(!ret))
                    return val;
            }
#endif
            return (long) -1;
        }
    } else {
        long val;
        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
        if (!tmp) return (long) -1;
        val = __Pyx_PyInt_As_long(tmp);
        Py_DECREF(tmp);
        return val;
    }
raise_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "value too large to convert to long");
    return (long) -1;
raise_neg_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "can't convert negative value to long");
    return (long) -1;
}

/* FastTypeChecks */
#if CYTHON_COMPILING_IN_CPYTHON
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
    while (a) {
        a = a->tp_base;
        if (a == b)
            return 1;
    }
    return b == &PyBaseObject_Type;
}
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
    PyObject *mro;
    if (a == b) return 1;
    mro = a->tp_mro;
    if (likely(mro)) {
        Py_ssize_t i, n;
        n = PyTuple_GET_SIZE(mro);
        for (i = 0; i < n; i++) {
            if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
                return 1;
        }
        return 0;
    }
    return __Pyx_InBases(a, b);
}
#if PY_MAJOR_VERSION == 2
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
    PyObject *exception, *value, *tb;
    int res;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&exception, &value, &tb);
    res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
    if (unlikely(res == -1)) {
        PyErr_WriteUnraisable(err);
        res = 0;
    }
    if (!res) {
        res = PyObject_IsSubclass(err, exc_type2);
        if (unlikely(res == -1)) {
            PyErr_WriteUnraisable(err);
            res = 0;
        }
    }
    __Pyx_ErrRestore(exception, value, tb);
    return res;
}
#else
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
    int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
    if (!res) {
        res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
    }
    return res;
}
#endif
static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
    Py_ssize_t i, n;
    assert(PyExceptionClass_Check(exc_type));
    n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
    for (i=0; i<n; i++) {
        if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
    }
#endif
    for (i=0; i<n; i++) {
        PyObject *t = PyTuple_GET_ITEM(tuple, i);
        #if PY_MAJOR_VERSION < 3
        if (likely(exc_type == t)) return 1;
        #endif
        if (likely(PyExceptionClass_Check(t))) {
            if (__Pyx_inner_PyErr_GivenExceptionMatches2(exc_type, NULL, t)) return 1;
        } else {
        }
    }
    return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
    if (likely(err == exc_type)) return 1;
    if (likely(PyExceptionClass_Check(err))) {
        if (likely(PyExceptionClass_Check(exc_type))) {
            return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
        } else if (likely(PyTuple_Check(exc_type))) {
            return __Pyx_PyErr_GivenExceptionMatchesTuple(err, exc_type);
        } else {
        }
    }
    return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
    assert(PyExceptionClass_Check(exc_type1));
    assert(PyExceptionClass_Check(exc_type2));
    if (likely(err == exc_type1 || err == exc_type2)) return 1;
    if (likely(PyExceptionClass_Check(err))) {
        return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
    }
    return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
}
#endif

/* CheckBinaryVersion */
static int __Pyx_check_binary_version(void) {
    char ctversion[5];
    int same=1, i, found_dot;
    const char* rt_from_call = Py_GetVersion();
    PyOS_snprintf(ctversion, 5, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
    found_dot = 0;
    for (i = 0; i < 4; i++) {
        if (!ctversion[i]) {
            same = (rt_from_call[i] < '0' || rt_from_call[i] > '9');
            break;
        }
        if (rt_from_call[i] != ctversion[i]) {
            same = 0;
            break;
        }
    }
    if (!same) {
        char rtversion[5] = {'\0'};
        char message[200];
        for (i=0; i<4; ++i) {
            if (rt_from_call[i] == '.') {
                if (found_dot) break;
                found_dot = 1;
            } else if (rt_from_call[i] < '0' || rt_from_call[i] > '9') {
                break;
            }
            rtversion[i] = rt_from_call[i];
        }
        PyOS_snprintf(message, sizeof(message),
                      "compiletime version %s of module '%.100s' "
                      "does not match runtime version %s",
                      ctversion, __Pyx_MODULE_NAME, rtversion);
        return PyErr_WarnEx(NULL, message, 1);
    }
    return 0;
}

/* FunctionExport */
static int __Pyx_ExportFunction(const char *name, void (*f)(void), const char *sig) {
    PyObject *d = 0;
    PyObject *cobj = 0;
    union {
        void (*fp)(void);
        void *p;
    } tmp;
    d = PyObject_GetAttrString(__pyx_m, (char *)"__pyx_capi__");
    if (!d) {
        PyErr_Clear();
        d = PyDict_New();
        if (!d)
            goto bad;
        Py_INCREF(d);
        if (PyModule_AddObject(__pyx_m, (char *)"__pyx_capi__", d) < 0)
            goto bad;
    }
    tmp.fp = f;
#if PY_VERSION_HEX >= 0x02070000
    cobj = PyCapsule_New(tmp.p, sig, 0);
#else
    cobj = PyCObject_FromVoidPtrAndDesc(tmp.p, (void *)sig, 0);
#endif
    if (!cobj)
        goto bad;
    if (PyDict_SetItemString(d, name, cobj) < 0)
        goto bad;
    Py_DECREF(cobj);
    Py_DECREF(d);
    return 0;
bad:
    Py_XDECREF(cobj);
    Py_XDECREF(d);
    return -1;
}

/* VoidPtrImport */
#ifndef __PYX_HAVE_RT_ImportVoidPtr
#define __PYX_HAVE_RT_ImportVoidPtr
static int __Pyx_ImportVoidPtr(PyObject *module, const char *name, void **p, const char *sig) {
    PyObject *d = 0;
    PyObject *cobj = 0;
    d = PyObject_GetAttrString(module, (char *)"__pyx_capi__");
    if (!d)
        goto bad;
    cobj = PyDict_GetItemString(d, name);
    if (!cobj) {
        PyErr_Format(PyExc_ImportError,
            "%.200s does not export expected C variable %.200s",
                PyModule_GetName(module), name);
        goto bad;
    }
#if PY_VERSION_HEX >= 0x02070000
    if (!PyCapsule_IsValid(cobj, sig)) {
        PyErr_Format(PyExc_TypeError,
            "C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
             PyModule_GetName(module), name, sig, PyCapsule_GetName(cobj));
        goto bad;
    }
    *p = PyCapsule_GetPointer(cobj, sig);
#else
    {const char *desc, *s1, *s2;
    desc = (const char *)PyCObject_GetDesc(cobj);
    if (!desc)
        goto bad;
    s1 = desc; s2 = sig;
    while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; }
    if (*s1 != *s2) {
        PyErr_Format(PyExc_TypeError,
            "C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
             PyModule_GetName(module), name, sig, desc);
        goto bad;
    }
    *p = PyCObject_AsVoidPtr(cobj);}
#endif
    if (!(*p))
        goto bad;
    Py_DECREF(d);
    return 0;
bad:
    Py_XDECREF(d);
    return -1;
}
#endif

/* FunctionImport */
#ifndef __PYX_HAVE_RT_ImportFunction
#define __PYX_HAVE_RT_ImportFunction
static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig) {
    PyObject *d = 0;
    PyObject *cobj = 0;
    union {
        void (*fp)(void);
        void *p;
    } tmp;
    d = PyObject_GetAttrString(module, (char *)"__pyx_capi__");
    if (!d)
        goto bad;
    cobj = PyDict_GetItemString(d, funcname);
    if (!cobj) {
        PyErr_Format(PyExc_ImportError,
            "%.200s does not export expected C function %.200s",
                PyModule_GetName(module), funcname);
        goto bad;
    }
#if PY_VERSION_HEX >= 0x02070000
    if (!PyCapsule_IsValid(cobj, sig)) {
        PyErr_Format(PyExc_TypeError,
            "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
             PyModule_GetName(module), funcname, sig, PyCapsule_GetName(cobj));
        goto bad;
    }
    tmp.p = PyCapsule_GetPointer(cobj, sig);
#else
    {const char *desc, *s1, *s2;
    desc = (const char *)PyCObject_GetDesc(cobj);
    if (!desc)
        goto bad;
    s1 = desc; s2 = sig;
    while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; }
    if (*s1 != *s2) {
        PyErr_Format(PyExc_TypeError,
            "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
             PyModule_GetName(module), funcname, sig, desc);
        goto bad;
    }
    tmp.p = PyCObject_AsVoidPtr(cobj);}
#endif
    *f = tmp.fp;
    if (!(*f))
        goto bad;
    Py_DECREF(d);
    return 0;
bad:
    Py_XDECREF(d);
    return -1;
}
#endif

/* InitStrings */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
    while (t->p) {
        #if PY_MAJOR_VERSION < 3
        if (t->is_unicode) {
            *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
        } else if (t->intern) {
            *t->p = PyString_InternFromString(t->s);
        } else {
            *t->p = PyString_FromStringAndSize(t->s, t->n - 1);
        }
        #else
        if (t->is_unicode | t->is_str) {
            if (t->intern) {
                *t->p = PyUnicode_InternFromString(t->s);
            } else if (t->encoding) {
                *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
            } else {
                *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
            }
        } else {
            *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
        }
        #endif
        if (!*t->p)
            return -1;
        if (PyObject_Hash(*t->p) == -1)
            return -1;
        ++t;
    }
    return 0;
}

static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
    return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
}
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
    Py_ssize_t ignore;
    return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
#if !CYTHON_PEP393_ENABLED
static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
    char* defenc_c;
    PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
    if (!defenc) return NULL;
    defenc_c = PyBytes_AS_STRING(defenc);
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
    {
        char* end = defenc_c + PyBytes_GET_SIZE(defenc);
        char* c;
        for (c = defenc_c; c < end; c++) {
            if ((unsigned char) (*c) >= 128) {
                PyUnicode_AsASCIIString(o);
                return NULL;
            }
        }
    }
#endif
    *length = PyBytes_GET_SIZE(defenc);
    return defenc_c;
}
#else
static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
    if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
    if (likely(PyUnicode_IS_ASCII(o))) {
        *length = PyUnicode_GET_LENGTH(o);
        return PyUnicode_AsUTF8(o);
    } else {
        PyUnicode_AsASCIIString(o);
        return NULL;
    }
#else
    return PyUnicode_AsUTF8AndSize(o, length);
#endif
}
#endif
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
    if (
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
            __Pyx_sys_getdefaultencoding_not_ascii &&
#endif
            PyUnicode_Check(o)) {
        return __Pyx_PyUnicode_AsStringAndSize(o, length);
    } else
#endif
#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
    if (PyByteArray_Check(o)) {
        *length = PyByteArray_GET_SIZE(o);
        return PyByteArray_AS_STRING(o);
    } else
#endif
    {
        char* result;
        int r = PyBytes_AsStringAndSize(o, &result, length);
        if (unlikely(r < 0)) {
            return NULL;
        } else {
            return result;
        }
    }
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
   int is_true = x == Py_True;
   if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
   else return PyObject_IsTrue(x);
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {
    int retval;
    if (unlikely(!x)) return -1;
    retval = __Pyx_PyObject_IsTrue(x);
    Py_DECREF(x);
    return retval;
}
static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
#if PY_MAJOR_VERSION >= 3
    if (PyLong_Check(result)) {
        if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
                "__int__ returned non-int (type %.200s).  "
                "The ability to return an instance of a strict subclass of int "
                "is deprecated, and may be removed in a future version of Python.",
                Py_TYPE(result)->tp_name)) {
            Py_DECREF(result);
            return NULL;
        }
        return result;
    }
#endif
    PyErr_Format(PyExc_TypeError,
                 "__%.4s__ returned non-%.4s (type %.200s)",
                 type_name, type_name, Py_TYPE(result)->tp_name);
    Py_DECREF(result);
    return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
#if CYTHON_USE_TYPE_SLOTS
  PyNumberMethods *m;
#endif
  const char *name = NULL;
  PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
  if (likely(PyInt_Check(x) || PyLong_Check(x)))
#else
  if (likely(PyLong_Check(x)))
#endif
    return __Pyx_NewRef(x);
#if CYTHON_USE_TYPE_SLOTS
  m = Py_TYPE(x)->tp_as_number;
  #if PY_MAJOR_VERSION < 3
  if (m && m->nb_int) {
    name = "int";
    res = m->nb_int(x);
  }
  else if (m && m->nb_long) {
    name = "long";
    res = m->nb_long(x);
  }
  #else
  if (likely(m && m->nb_int)) {
    name = "int";
    res = m->nb_int(x);
  }
  #endif
#else
  if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
    res = PyNumber_Int(x);
  }
#endif
  if (likely(res)) {
#if PY_MAJOR_VERSION < 3
    if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
#else
    if (unlikely(!PyLong_CheckExact(res))) {
#endif
        return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
    }
  }
  else if (!PyErr_Occurred()) {
    PyErr_SetString(PyExc_TypeError,
                    "an integer is required");
  }
  return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
  Py_ssize_t ival;
  PyObject *x;
#if PY_MAJOR_VERSION < 3
  if (likely(PyInt_CheckExact(b))) {
    if (sizeof(Py_ssize_t) >= sizeof(long))
        return PyInt_AS_LONG(b);
    else
        return PyInt_AsSsize_t(b);
  }
#endif
  if (likely(PyLong_CheckExact(b))) {
    #if CYTHON_USE_PYLONG_INTERNALS
    const digit* digits = ((PyLongObject*)b)->ob_digit;
    const Py_ssize_t size = Py_SIZE(b);
    if (likely(__Pyx_sst_abs(size) <= 1)) {
        ival = likely(size) ? digits[0] : 0;
        if (size == -1) ival = -ival;
        return ival;
    } else {
      switch (size) {
         case 2:
           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -2:
           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case 3:
           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -3:
           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case 4:
           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -4:
           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
      }
    }
    #endif
    return PyLong_AsSsize_t(b);
  }
  x = PyNumber_Index(b);
  if (!x) return -1;
  ival = PyInt_AsSsize_t(x);
  Py_DECREF(x);
  return ival;
}
static CYTHON_INLINE Py_hash_t __Pyx_PyIndex_AsHash_t(PyObject* o) {
  if (sizeof(Py_hash_t) == sizeof(Py_ssize_t)) {
    return (Py_hash_t) __Pyx_PyIndex_AsSsize_t(o);
#if PY_MAJOR_VERSION < 3
  } else if (likely(PyInt_CheckExact(o))) {
    return PyInt_AS_LONG(o);
#endif
  } else {
    Py_ssize_t ival;
    PyObject *x;
    x = PyNumber_Index(o);
    if (!x) return -1;
    ival = PyInt_AsLong(x);
    Py_DECREF(x);
    return ival;
  }
}
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) {
  return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
    return PyInt_FromSize_t(ival);
}


#endif /* Py_PYTHON_H */
