/* Generated by Cython 0.28.2 */

#define PY_SSIZE_T_CLEAN
#include "Python.h"
#ifndef Py_PYTHON_H
    #error Python headers needed to compile C extensions, please install development version of Python.
#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
    #error Cython requires Python 2.6+ or Python 3.3+.
#else
#define CYTHON_ABI "0_28_2"
#define CYTHON_FUTURE_DIVISION 0
#include <stddef.h>
#ifndef offsetof
  #define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
#endif
#if !defined(WIN32) && !defined(MS_WINDOWS)
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    #define __fastcall
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#endif
#ifndef DL_IMPORT
  #define DL_IMPORT(t) t
#endif
#ifndef DL_EXPORT
  #define DL_EXPORT(t) t
#endif
#define __PYX_COMMA ,
#ifndef HAVE_LONG_LONG
  #if PY_VERSION_HEX >= 0x02070000
    #define HAVE_LONG_LONG
  #endif
#endif
#ifndef PY_LONG_LONG
  #define PY_LONG_LONG LONG_LONG
#endif
#ifndef Py_HUGE_VAL
  #define Py_HUGE_VAL HUGE_VAL
#endif
#ifdef PYPY_VERSION
  #define CYTHON_COMPILING_IN_PYPY 1
  #define CYTHON_COMPILING_IN_PYSTON 0
  #define CYTHON_COMPILING_IN_CPYTHON 0
  #undef CYTHON_USE_TYPE_SLOTS
  #define CYTHON_USE_TYPE_SLOTS 0
  #undef CYTHON_USE_PYTYPE_LOOKUP
  #define CYTHON_USE_PYTYPE_LOOKUP 0
  #if PY_VERSION_HEX < 0x03050000
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    #define CYTHON_USE_ASYNC_SLOTS 0
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    #define CYTHON_USE_ASYNC_SLOTS 1
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  #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
#elif defined(PYSTON_VERSION)
  #define CYTHON_COMPILING_IN_PYPY 0
  #define CYTHON_COMPILING_IN_PYSTON 1
  #define CYTHON_COMPILING_IN_CPYTHON 0
  #ifndef CYTHON_USE_TYPE_SLOTS
    #define CYTHON_USE_TYPE_SLOTS 1
  #endif
  #undef CYTHON_USE_PYTYPE_LOOKUP
  #define CYTHON_USE_PYTYPE_LOOKUP 0
  #undef CYTHON_USE_ASYNC_SLOTS
  #define CYTHON_USE_ASYNC_SLOTS 0
  #undef CYTHON_USE_PYLIST_INTERNALS
  #define CYTHON_USE_PYLIST_INTERNALS 0
  #ifndef CYTHON_USE_UNICODE_INTERNALS
    #define CYTHON_USE_UNICODE_INTERNALS 1
  #endif
  #undef CYTHON_USE_UNICODE_WRITER
  #define CYTHON_USE_UNICODE_WRITER 0
  #undef CYTHON_USE_PYLONG_INTERNALS
  #define CYTHON_USE_PYLONG_INTERNALS 0
  #ifndef CYTHON_AVOID_BORROWED_REFS
    #define CYTHON_AVOID_BORROWED_REFS 0
  #endif
  #ifndef CYTHON_ASSUME_SAFE_MACROS
    #define CYTHON_ASSUME_SAFE_MACROS 1
  #endif
  #ifndef CYTHON_UNPACK_METHODS
    #define CYTHON_UNPACK_METHODS 1
  #endif
  #undef CYTHON_FAST_THREAD_STATE
  #define CYTHON_FAST_THREAD_STATE 0
  #undef CYTHON_FAST_PYCALL
  #define CYTHON_FAST_PYCALL 0
  #undef CYTHON_PEP489_MULTI_PHASE_INIT
  #define CYTHON_PEP489_MULTI_PHASE_INIT 0
  #undef CYTHON_USE_TP_FINALIZE
  #define CYTHON_USE_TP_FINALIZE 0
#else
  #define CYTHON_COMPILING_IN_PYPY 0
  #define CYTHON_COMPILING_IN_PYSTON 0
  #define CYTHON_COMPILING_IN_CPYTHON 1
  #ifndef CYTHON_USE_TYPE_SLOTS
    #define CYTHON_USE_TYPE_SLOTS 1
  #endif
  #if PY_VERSION_HEX < 0x02070000
    #undef CYTHON_USE_PYTYPE_LOOKUP
    #define CYTHON_USE_PYTYPE_LOOKUP 0
  #elif !defined(CYTHON_USE_PYTYPE_LOOKUP)
    #define CYTHON_USE_PYTYPE_LOOKUP 1
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  #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
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  #ifndef CYTHON_USE_UNICODE_INTERNALS
    #define CYTHON_USE_UNICODE_INTERNALS 1
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  #if PY_VERSION_HEX < 0x030300F0
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    #define CYTHON_USE_UNICODE_WRITER 0
  #elif !defined(CYTHON_USE_UNICODE_WRITER)
    #define CYTHON_USE_UNICODE_WRITER 1
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  #ifndef CYTHON_AVOID_BORROWED_REFS
    #define CYTHON_AVOID_BORROWED_REFS 0
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  #ifndef CYTHON_ASSUME_SAFE_MACROS
    #define CYTHON_ASSUME_SAFE_MACROS 1
  #endif
  #ifndef CYTHON_UNPACK_METHODS
    #define CYTHON_UNPACK_METHODS 1
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  #ifndef CYTHON_FAST_THREAD_STATE
    #define CYTHON_FAST_THREAD_STATE 1
  #endif
  #ifndef CYTHON_FAST_PYCALL
    #define CYTHON_FAST_PYCALL 1
  #endif
  #ifndef CYTHON_PEP489_MULTI_PHASE_INIT
    #define CYTHON_PEP489_MULTI_PHASE_INIT (0 && PY_VERSION_HEX >= 0x03050000)
  #endif
  #ifndef CYTHON_USE_TP_FINALIZE
    #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
  #endif
#endif
#if !defined(CYTHON_FAST_PYCCALL)
#define CYTHON_FAST_PYCCALL  (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
#endif
#if CYTHON_USE_PYLONG_INTERNALS
  #include "longintrepr.h"
  #undef SHIFT
  #undef BASE
  #undef MASK
#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 CYTHON_INLINE
  #if defined(__clang__)
    #define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
  #elif defined(__GNUC__)
    #define CYTHON_INLINE __inline__
  #elif defined(_MSC_VER)
    #define CYTHON_INLINE __inline
  #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
    #define CYTHON_INLINE inline
  #else
    #define CYTHON_INLINE
  #endif
#endif

#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_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 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
#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)))))
#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_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; // PyThread_create_key reports success always
}
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 // TSS (Thread Specific Storage) API
#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)
#define __Pyx_PyDict_NewPresized(n)  ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))
#else
#define __Pyx_PyDict_NewPresized(n)  PyDict_New()
#endif
#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION
  #define __Pyx_PyNumber_Divide(x,y)         PyNumber_TrueDivide(x,y)
  #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceTrueDivide(x,y)
#else
  #define __Pyx_PyNumber_Divide(x,y)         PyNumber_Divide(x,y)
  #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceDivide(x,y)
#endif
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS
#define __Pyx_PyDict_GetItemStr(dict, name)  _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)
#else
#define __Pyx_PyDict_GetItemStr(dict, name)  PyDict_GetItem(dict, name)
#endif
#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
  #define CYTHON_PEP393_ENABLED 1
  #define __Pyx_PyUnicode_READY(op)       (likely(PyUnicode_IS_READY(op)) ?\
                                              0 : _PyUnicode_Ready((PyObject *)(op)))
  #define __Pyx_PyUnicode_GET_LENGTH(u)   PyUnicode_GET_LENGTH(u)
  #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
  #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u)   PyUnicode_MAX_CHAR_VALUE(u)
  #define __Pyx_PyUnicode_KIND(u)         PyUnicode_KIND(u)
  #define __Pyx_PyUnicode_DATA(u)         PyUnicode_DATA(u)
  #define __Pyx_PyUnicode_READ(k, d, i)   PyUnicode_READ(k, d, i)
  #define __Pyx_PyUnicode_WRITE(k, d, i, ch)  PyUnicode_WRITE(k, d, i, ch)
  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
#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)) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
#define __Pyx_PyUnicode_FormatSafe(a, b)  ((unlikely((a) == Py_None)) ? 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
#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 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)
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#endif
#if PY_VERSION_HEX < 0x030200A4
  typedef long Py_hash_t;
  #define __Pyx_PyInt_FromHash_t PyInt_FromLong
  #define __Pyx_PyInt_AsHash_t   PyInt_AsLong
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  #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
  #define __Pyx_PyInt_AsHash_t   PyInt_AsSsize_t
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#if PY_MAJOR_VERSION >= 3
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    #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
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    #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
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  #define __Pyx_PyType_AsAsync(obj) NULL
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#ifndef __Pyx_PyAsyncMethodsStruct
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#include <math.h>
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#define __PYX_NAN() ((float) NAN)
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static CYTHON_INLINE float __PYX_NAN() {
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}
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#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
#define __Pyx_truncl trunc
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#define __Pyx_truncl truncl
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#ifndef __PYX_EXTERN_C
  #ifdef __cplusplus
    #define __PYX_EXTERN_C extern "C"
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    #define __PYX_EXTERN_C extern
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#define __PYX_HAVE__gensim__models__word2vec_inner
#define __PYX_HAVE_API__gensim__models__word2vec_inner
/* Early includes */
#include "voidptr.h"
#include <string.h>
#include <stdio.h>
#include "numpy/arrayobject.h"
#include "numpy/ufuncobject.h"
#include <math.h>
#include <stdlib.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_DEFAULT 0
#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)  (\
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    (sizeof(type) > sizeof(Py_ssize_t) &&\
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                 v == (type)PY_SSIZE_T_MAX)  &&\
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                                v == (type)PY_SSIZE_T_MIN)))  ||\
    (sizeof(type) == sizeof(Py_ssize_t) &&\
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                               v == (type)PY_SSIZE_T_MAX)))  )
#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)
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    #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)
#define __Pyx_PyBool_FromLong(b) ((b) ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False))
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
#define __Pyx_PySequence_Tuple(obj)\
    (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_ASSUME_SAFE_MACROS
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
#endif
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
#else
#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
#endif
#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
static int __Pyx_sys_getdefaultencoding_not_ascii;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
    PyObject* sys;
    PyObject* default_encoding = NULL;
    PyObject* ascii_chars_u = NULL;
    PyObject* ascii_chars_b = NULL;
    const char* default_encoding_c;
    sys = PyImport_ImportModule("sys");
    if (!sys) goto bad;
    default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
    Py_DECREF(sys);
    if (!default_encoding) goto bad;
    default_encoding_c = PyBytes_AsString(default_encoding);
    if (!default_encoding_c) goto bad;
    if (strcmp(default_encoding_c, "ascii") == 0) {
        __Pyx_sys_getdefaultencoding_not_ascii = 0;
    } else {
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            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);
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bad:
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    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) {
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    sys = PyImport_ImportModule("sys");
    if (!sys) goto bad;
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    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));
    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;
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[] = {
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};
/* 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 */
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  #define __PYX_FORCE_INIT_THREADS 0
#endif


/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":730
 * # 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":731
 * 
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":732
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":733
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":737
 * #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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":738
 * 
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":739
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":740
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":744
 * #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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":745
 * 
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":754
 * # 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":755
 * # 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":756
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":758
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":759
 * 
 * ctypedef npy_ulong      uint_t
 * ctypedef npy_ulonglong  ulong_t             # <<<<<<<<<<<<<<
 * ctypedef npy_ulonglong  ulonglong_t
 * 
 */
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":760
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":762
 * ctypedef npy_ulonglong  ulonglong_t
 * 
 * ctypedef npy_intp       intp_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uintp      uintp_t
 * 
 */
typedef npy_intp __pyx_t_5numpy_intp_t;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":763
 * 
 * ctypedef npy_intp       intp_t
 * ctypedef npy_uintp      uintp_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_double     float_t
 */
typedef npy_uintp __pyx_t_5numpy_uintp_t;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":765
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":766
 * 
 * ctypedef npy_double     float_t
 * ctypedef npy_double     double_t             # <<<<<<<<<<<<<<
 * ctypedef npy_longdouble longdouble_t
 * 
 */
typedef npy_double __pyx_t_5numpy_double_t;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":767
 * 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":12
 * 
 * cimport numpy as np
 * ctypedef np.float32_t REAL_t             # <<<<<<<<<<<<<<
 * ctypedef np.float64_t DOUBLE_t
 * 
 */
typedef __pyx_t_5numpy_float32_t __pyx_t_6gensim_6models_14word2vec_inner_REAL_t;

/* "gensim/models/word2vec_inner.pxd":13
 * cimport numpy as np
 * ctypedef np.float32_t REAL_t
 * ctypedef np.float64_t DOUBLE_t             # <<<<<<<<<<<<<<
 * 
 * # BLAS routine signatures
 */
typedef __pyx_t_5numpy_float64_t __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t;
/* Declarations.proto */
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
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  #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 */
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/*--- Type declarations ---*/

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":769
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":770
 * 
 * ctypedef npy_cfloat      cfloat_t
 * ctypedef npy_cdouble     cdouble_t             # <<<<<<<<<<<<<<
 * ctypedef npy_clongdouble clongdouble_t
 * 
 */
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":771
 * 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;

/* "../../../../../../usr/local/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":773
 * ctypedef npy_clongdouble clongdouble_t
 * 
 * ctypedef npy_cdouble     complex_t             # <<<<<<<<<<<<<<
 * 
 * cdef inline object PyArray_MultiIterNew1(a):
 */
typedef npy_cdouble __pyx_t_5numpy_complex_t;

/* "gensim/models/word2vec_inner.pxd":16
 * 
 * # 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":17
 * # 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":18
 * 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":19
 * 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":20
 * 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
 * ctypedef void (*ssbmv_ptr) (const char *uplo, const int *N, const int *K, const float *alpha, const float **A,
 */
typedef double (*__pyx_t_6gensim_6models_14word2vec_inner_snrm2_ptr)(int const *, float const *, int const *);

/* "gensim/models/word2vec_inner.pxd":21
 * 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             # <<<<<<<<<<<<<<
 * ctypedef void (*ssbmv_ptr) (const char *uplo, const int *N, const int *K, const float *alpha, const float **A,
 *                             const int *lda, const float *X, const int *incX, const float *beta, const float *Y,
 */
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_sscal_ptr)(int const *, float const *, float const *, int const *);

/* "gensim/models/word2vec_inner.pxd":22
 * 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
 * ctypedef void (*ssbmv_ptr) (const char *uplo, const int *N, const int *K, const float *alpha, const float **A,             # <<<<<<<<<<<<<<
 *                             const int *lda, const float *X, const int *incX, const float *beta, const float *Y,
 *                             const int *incY) nogil
 */
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_ssbmv_ptr)(char const *, int const *, int const *, float const *, float const **, int const *, float const *, int const *, float const *, float const *, int const *);

/* "gensim/models/word2vec_inner.pxd":26
 *                             const int *incY) nogil
 * 
 * ctypedef void (*dcopy_ptr) (const int *N, const double *X, const int *incX, double *Y, const int *incY) nogil             # <<<<<<<<<<<<<<
 * ctypedef void (*daxpy_ptr) (const int *N, const double  *alpha, const double *X, const int *incX, double *Y, const int *incY) nogil
 * ctypedef double (*ddot_ptr) (const int *N, const double *X, const int *incX, const double *Y, const int *incY) nogil
 */
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_dcopy_ptr)(int const *, double const *, int const *, double *, int const *);

/* "gensim/models/word2vec_inner.pxd":27
 * 
 * ctypedef void (*dcopy_ptr) (const int *N, const double *X, const int *incX, double *Y, const int *incY) nogil
 * ctypedef void (*daxpy_ptr) (const int *N, const double  *alpha, const double *X, const int *incX, double *Y, const int *incY) nogil             # <<<<<<<<<<<<<<
 * ctypedef double (*ddot_ptr) (const int *N, const double *X, const int *incX, const double *Y, const int *incY) nogil
 * ctypedef double (*dnrm2_ptr) (const int *N, const double *X, const int *incX) nogil
 */
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_daxpy_ptr)(int const *, double const *, double const *, int const *, double *, int const *);

/* "gensim/models/word2vec_inner.pxd":28
 * ctypedef void (*dcopy_ptr) (const int *N, const double *X, const int *incX, double *Y, const int *incY) nogil
 * ctypedef void (*daxpy_ptr) (const int *N, const double  *alpha, const double *X, const int *incX, double *Y, const int *incY) nogil
 * ctypedef double (*ddot_ptr) (const int *N, const double *X, const int *incX, const double *Y, const int *incY) nogil             # <<<<<<<<<<<<<<
 * ctypedef double (*dnrm2_ptr) (const int *N, const double *X, const int *incX) nogil
 * ctypedef void (*dscal_ptr) (const int *N, const double *alpha, const double *X, const int *incX) nogil
 */
typedef double (*__pyx_t_6gensim_6models_14word2vec_inner_ddot_ptr)(int const *, double const *, int const *, double const *, int const *);

/* "gensim/models/word2vec_inner.pxd":29
 * ctypedef void (*daxpy_ptr) (const int *N, const double  *alpha, const double *X, const int *incX, double *Y, const int *incY) nogil
 * ctypedef double (*ddot_ptr) (const int *N, const double *X, const int *incX, const double *Y, const int *incY) nogil
 * ctypedef double (*dnrm2_ptr) (const int *N, const double *X, const int *incX) nogil             # <<<<<<<<<<<<<<
 * ctypedef void (*dscal_ptr) (const int *N, const double *alpha, const double *X, const int *incX) nogil
 * ctypedef void (*dsbmv_ptr) (const char *uplo, const int *N, const int *K, const double *alpha, const double **A,
 */
typedef double (*__pyx_t_6gensim_6models_14word2vec_inner_dnrm2_ptr)(int const *, double const *, int const *);

/* "gensim/models/word2vec_inner.pxd":30
 * ctypedef double (*ddot_ptr) (const int *N, const double *X, const int *incX, const double *Y, const int *incY) nogil
 * ctypedef double (*dnrm2_ptr) (const int *N, const double *X, const int *incX) nogil
 * ctypedef void (*dscal_ptr) (const int *N, const double *alpha, const double *X, const int *incX) nogil             # <<<<<<<<<<<<<<
 * ctypedef void (*dsbmv_ptr) (const char *uplo, const int *N, const int *K, const double *alpha, const double **A,
 *                             const int *lda, const double *X, const int *incX, const double *beta, const double *Y,
 */
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_dscal_ptr)(int const *, double const *, double const *, int const *);

/* "gensim/models/word2vec_inner.pxd":31
 * ctypedef double (*dnrm2_ptr) (const int *N, const double *X, const int *incX) nogil
 * ctypedef void (*dscal_ptr) (const int *N, const double *alpha, const double *X, const int *incX) nogil
 * ctypedef void (*dsbmv_ptr) (const char *uplo, const int *N, const int *K, const double *alpha, const double **A,             # <<<<<<<<<<<<<<
 *                             const int *lda, const double *X, const int *incX, const double *beta, const double *Y,
 *                             const int *incY) nogil
 */
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_dsbmv_ptr)(char const *, int const *, int const *, double const *, double const **, int const *, double const *, int const *, double const *, double const *, int const *);

/* "gensim/models/word2vec_inner.pxd":56
 * 
 * # 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":57
 * # 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.pyx":76
 * cdef DOUBLE_t EPS_ARR[MAX_EMB_SIZE]
 * 
 * cdef enum OptType:             # <<<<<<<<<<<<<<
 *     SGD=1  # regular SGD (like in vanilla Word2Vec)
 *     WSGD=2  # SGD where the lr is weighted by a function that depends on the frequency of the word whose embedding is being updated
 */
enum __pyx_t_6gensim_6models_14word2vec_inner_OptType {
  __pyx_e_6gensim_6models_14word2vec_inner_SGD = 1,
  __pyx_e_6gensim_6models_14word2vec_inner_WSGD = 2,
  __pyx_e_6gensim_6models_14word2vec_inner_RSGD = 3,
  __pyx_e_6gensim_6models_14word2vec_inner_WeightedRSGD = 4,
  __pyx_e_6gensim_6models_14word2vec_inner_FullRSGD = 5,
  __pyx_e_6gensim_6models_14word2vec_inner_WeightedFullRSGD = 6,
  __pyx_e_6gensim_6models_14word2vec_inner_RMSprop = 7
};

/* "gensim/models/word2vec_inner.pyx":85
 *     RMSprop=7  # RMSprop (for RSGD it uses the approximate version, with the retraction)
 * 
 * cdef enum SimFuncType:             # <<<<<<<<<<<<<<
 *     DIST_SQ=1  # use -poincare_dist^2 as similarity during training
 *     COSH_DIST_SQ=2  # use -cosh(poincare_dist)^2 as similarity during training
 */
enum __pyx_t_6gensim_6models_14word2vec_inner_SimFuncType {
  __pyx_e_6gensim_6models_14word2vec_inner_DIST_SQ = 1,
  __pyx_e_6gensim_6models_14word2vec_inner_COSH_DIST_SQ = 2,
  __pyx_e_6gensim_6models_14word2vec_inner_COSH_DIST = 3,
  __pyx_e_6gensim_6models_14word2vec_inner_LOG_DIST = 4,
  __pyx_e_6gensim_6models_14word2vec_inner_LOG_DIST_SQ = 5,
  __pyx_e_6gensim_6models_14word2vec_inner_EXP_DIST = 6,
  __pyx_e_6gensim_6models_14word2vec_inner_COSH_DIST_POW_K = 7
};

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#else
#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
#endif

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

/* PyObjectSetAttrStr.proto */
#if CYTHON_USE_TYPE_SLOTS
#define __Pyx_PyObject_DelAttrStr(o,n) __Pyx_PyObject_SetAttrStr(o, n, NULL)
static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value);
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#define __Pyx_PyObject_DelAttrStr(o,n)   PyObject_DelAttr(o,n)
#define __Pyx_PyObject_SetAttrStr(o,n,v) PyObject_SetAttr(o,n,v)
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/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_EqObjC(PyObject *op1, PyObject *op2, long intval, int inplace);
#else
#define __Pyx_PyInt_EqObjC(op1, op2, intval, inplace)\
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/* 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)\
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#define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key)
#define __Pyx_PyObject_Dict_GetItem(obj, name)  PyObject_GetItem(obj, name)
#endif

/* pyobject_as_double.proto */
static double __Pyx__PyObject_AsDouble(PyObject* obj);
#if CYTHON_COMPILING_IN_PYPY
#define __Pyx_PyObject_AsDouble(obj)\
(likely(PyFloat_CheckExact(obj)) ? PyFloat_AS_DOUBLE(obj) :\
 likely(PyInt_CheckExact(obj)) ?\
 PyFloat_AsDouble(obj) : __Pyx__PyObject_AsDouble(obj))
#else
#define __Pyx_PyObject_AsDouble(obj)\
((likely(PyFloat_CheckExact(obj))) ?\
 PyFloat_AS_DOUBLE(obj) : __Pyx__PyObject_AsDouble(obj))
#endif

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

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

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

/* RaiseTooManyValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);

/* RaiseNeedMoreValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);

/* RaiseNoneIterError.proto */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);

/* 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

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

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

/* PyObjectCallNoArg.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func);
#else
#define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL)
#endif

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

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

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

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

/* None.proto */
static CYTHON_INLINE long __Pyx_pow_long(long, long);

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

/* Print.proto */
static int __Pyx_Print(PyObject*, PyObject *, int);
#if CYTHON_COMPILING_IN_PYPY || PY_MAJOR_VERSION >= 3
static PyObject* __pyx_print = 0;
static PyObject* __pyx_print_kwargs = 0;
#endif

/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_PY_LONG_LONG(unsigned PY_LONG_LONG value);

/* 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))
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#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))
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    #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))
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 #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_enum__NPY_TYPES(enum NPY_TYPES value);

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

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

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

/* PrintOne.proto */
static int __Pyx_PrintOne(PyObject* stream, PyObject *o);

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

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

/* VoidPtrExport.proto */
static int __Pyx_ExportVoidPtr(PyObject *name, void *p, const char *sig);

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

/* PyIdentifierFromString.proto */
#if !defined(__Pyx_PyIdentifier_FromString)
#if PY_MAJOR_VERSION < 3
  #define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s)
#else
  #define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s)
#endif
#endif

/* ModuleImport.proto */
static PyObject *__Pyx_ImportModule(const char *name);

/* TypeImport.proto */
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict);

/* 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;
static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/

/* Module declarations from 'cython' */

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

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

/* Module declarations from 'gensim.models.word2vec_inner' */
static __pyx_t_6gensim_6models_14word2vec_inner_scopy_ptr __pyx_v_6gensim_6models_14word2vec_inner_scopy;
static __pyx_t_6gensim_6models_14word2vec_inner_saxpy_ptr __pyx_v_6gensim_6models_14word2vec_inner_saxpy;
static __pyx_t_6gensim_6models_14word2vec_inner_sdot_ptr __pyx_v_6gensim_6models_14word2vec_inner_sdot;
static __pyx_t_6gensim_6models_14word2vec_inner_dsdot_ptr __pyx_v_6gensim_6models_14word2vec_inner_dsdot;
static __pyx_t_6gensim_6models_14word2vec_inner_snrm2_ptr __pyx_v_6gensim_6models_14word2vec_inner_snrm2;
static __pyx_t_6gensim_6models_14word2vec_inner_sscal_ptr __pyx_v_6gensim_6models_14word2vec_inner_sscal;
static __pyx_t_6gensim_6models_14word2vec_inner_ssbmv_ptr __pyx_v_6gensim_6models_14word2vec_inner_ssbmv;
static __pyx_t_6gensim_6models_14word2vec_inner_dcopy_ptr __pyx_v_6gensim_6models_14word2vec_inner_dcopy;
static __pyx_t_6gensim_6models_14word2vec_inner_daxpy_ptr __pyx_v_6gensim_6models_14word2vec_inner_daxpy;
static __pyx_t_6gensim_6models_14word2vec_inner_ddot_ptr __pyx_v_6gensim_6models_14word2vec_inner_ddot;
static __pyx_t_6gensim_6models_14word2vec_inner_dnrm2_ptr __pyx_v_6gensim_6models_14word2vec_inner_dnrm2;
static __pyx_t_6gensim_6models_14word2vec_inner_dscal_ptr __pyx_v_6gensim_6models_14word2vec_inner_dscal;
static __pyx_t_6gensim_6models_14word2vec_inner_dsbmv_ptr __pyx_v_6gensim_6models_14word2vec_inner_dsbmv;
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[0x3E8];
static __pyx_t_6gensim_6models_14word2vec_inner_our_dot_ptr __pyx_v_6gensim_6models_14word2vec_inner_our_dot;
static __pyx_t_6gensim_6models_14word2vec_inner_our_saxpy_ptr __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy;
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_14word2vec_inner_LOG_TABLE[0x3E8];
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_14word2vec_inner_COS_TABLE[0x2710];
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_14word2vec_inner_SIN_TABLE[0x2710];
static int __pyx_v_6gensim_6models_14word2vec_inner_ZERO;
static float __pyx_v_6gensim_6models_14word2vec_inner_ZEROF;
static char __pyx_v_6gensim_6models_14word2vec_inner_L_CHAR;
static int __pyx_v_6gensim_6models_14word2vec_inner_ONE;
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_14word2vec_inner_ONEF;
static __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_6gensim_6models_14word2vec_inner_ONED;
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_14word2vec_inner_MINUS_ONEF;
static __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_6gensim_6models_14word2vec_inner_MINUS_ONED;
static __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_6gensim_6models_14word2vec_inner_EPS_ARR[0x3E8];
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_f_6gensim_6models_14word2vec_inner_our_dot_double(int const *, float const *, int const *, float const *, int const *); /*proto*/
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_f_6gensim_6models_14word2vec_inner_our_dot_float(int const *, float const *, int const *, float const *, int const *); /*proto*/
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_f_6gensim_6models_14word2vec_inner_our_dot_noblas(int const *, float const *, int const *, float const *, int const *); /*proto*/
static void __pyx_f_6gensim_6models_14word2vec_inner_our_saxpy_noblas(int const *, float const *, float const *, int const *, float *, int const *); /*proto*/
static CYTHON_INLINE unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG); /*proto*/
static CYTHON_INLINE unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_random_int32(unsigned PY_LONG_LONG *); /*proto*/
static double __pyx_f_6gensim_6models_14word2vec_inner_our_tanh(double const ); /*proto*/
static double *__pyx_f_6gensim_6models_14word2vec_inner_clamp(double *, int, double, double); /*proto*/
static void __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_compute_sgns_loss(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_compute_sgns_loss_dbl(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *); /*proto*/
static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_update_embedding(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int const , int const ); /*proto*/
static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, int const ); /*proto*/
static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_full_rsgd(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, int const ); /*proto*/
static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_rmsprop(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const , __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, int const ); /*proto*/
static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_update_torus_radius(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const ); /*proto*/
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_f_6gensim_6models_14word2vec_inner_poincare_distance_moeb(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int const ); /*proto*/
static void __pyx_f_6gensim_6models_14word2vec_inner_poincare_distance_float(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const ); /*proto*/
static void __pyx_f_6gensim_6models_14word2vec_inner_poincare_similarity(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, int const , enum __pyx_t_6gensim_6models_14word2vec_inner_SimFuncType const , __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const , int *); /*proto*/
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_torus(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 *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const ); /*proto*/
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_nll_poincare(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const , __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const , enum __pyx_t_6gensim_6models_14word2vec_inner_OptType const , enum __pyx_t_6gensim_6models_14word2vec_inner_SimFuncType const , __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const , __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_5numpy_uint32_t const *, int const , int const , int *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *); /*proto*/
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_poincare(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const , __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const , enum __pyx_t_6gensim_6models_14word2vec_inner_OptType const , enum __pyx_t_6gensim_6models_14word2vec_inner_SimFuncType const , __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const , __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_5numpy_uint32_t const *, int const , int const , __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *); /*proto*/
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_euclid(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 *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int const , int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const ); /*proto*/
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_nll_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 *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , enum __pyx_t_6gensim_6models_14word2vec_inner_OptType const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_5numpy_uint32_t const *, int const , int const , int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const ); /*proto*/
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_neg(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , enum __pyx_t_6gensim_6models_14word2vec_inner_OptType, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_5numpy_uint32_t const *, int const , int const , int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const ); /*proto*/
static void __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_cbow_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int, int, int, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_cbow_neg(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, int *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int, int, int, int, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
static void __pyx_f_6gensim_6models_14word2vec_inner_score_pair_sg_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
static void __pyx_f_6gensim_6models_14word2vec_inner_score_pair_cbow_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int, int, int, int); /*proto*/
#define __Pyx_MODULE_NAME "gensim.models.word2vec_inner"
extern int __pyx_module_is_main_gensim__models__word2vec_inner;
int __pyx_module_is_main_gensim__models__word2vec_inner = 0;

/* Implementation of 'gensim.models.word2vec_inner' */
static PyObject *__pyx_builtin_ImportError;
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_RuntimeError;
static const char __pyx_k_a[] = "a";
static const char __pyx_k_b[] = "b";
static const char __pyx_k_c[] = "c";
static const char __pyx_k_i[] = "i";
static const char __pyx_k_j[] = "j";
static const char __pyx_k_k[] = "k";
static const char __pyx_k_x[] = "x";
static const char __pyx_k_y[] = "y";
static const char __pyx_k_aa[] = "aa";
static const char __pyx_k_b0[] = "b0";
static const char __pyx_k_b1[] = "b1";
static const char __pyx_k_bb[] = "bb";
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_Gb0[] = "Gb0";
static const char __pyx_k_Gb1[] = "Gb1";
static const char __pyx_k__30[] = "*";
static const char __pyx_k_dog[] = "dog";
static const char __pyx_k_end[] = "end";
static const char __pyx_k_max[] = "max";
static const char __pyx_k_min[] = "min";
static const char __pyx_k_sgd[] = "sgd";
static const char __pyx_k_the[] = "the";
static const char __pyx_k_REAL[] = "REAL";
static const char __pyx_k_code[] = "code";
static const char __pyx_k_ddot[] = "ddot";
static const char __pyx_k_file[] = "file";
static const char __pyx_k_init[] = "init";
static const char __pyx_k_item[] = "item";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_neu1[] = "_neu1";
static const char __pyx_k_norm[] = "norm";
static const char __pyx_k_rsgd[] = "rsgd";
static const char __pyx_k_sdot[] = "sdot";
static const char __pyx_k_sent[] = "sent";
static const char __pyx_k_size[] = "size";
static const char __pyx_k_syn0[] = "syn0";
static const char __pyx_k_syn1[] = "syn1";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_word[] = "word";
static const char __pyx_k_work[] = "_work";
static const char __pyx_k_wsgd[] = "wsgd";
static const char __pyx_k_Gsyn0[] = "Gsyn0";
static const char __pyx_k_alpha[] = "alpha";
static const char __pyx_k_codes[] = "codes";
static const char __pyx_k_d_res[] = "d_res";
static const char __pyx_k_daxpy[] = "daxpy";
static const char __pyx_k_dcopy[] = "dcopy";
static const char __pyx_k_debug[] = "debug";
static const char __pyx_k_dnrm2[] = "dnrm2";
static const char __pyx_k_dsbmv[] = "dsbmv";
static const char __pyx_k_dscal[] = "dscal";
static const char __pyx_k_dsdot[] = "dsdot";
static const char __pyx_k_fblas[] = "fblas";
static const char __pyx_k_index[] = "index";
static const char __pyx_k_model[] = "model";
static const char __pyx_k_numpy[] = "numpy";
static const char __pyx_k_p_res[] = "p_res";
static const char __pyx_k_point[] = "point";
static const char __pyx_k_print[] = "print";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_saxpy[] = "saxpy";
static const char __pyx_k_scopy[] = "scopy";
static const char __pyx_k_snrm2[] = "snrm2";
static const char __pyx_k_ssbmv[] = "ssbmv";
static const char __pyx_k_sscal[] = "sscal";
static const char __pyx_k_token[] = "token";
static const char __pyx_k_torus[] = "torus";
static const char __pyx_k_vocab[] = "vocab";
static const char __pyx_k_wrsgd[] = "wrsgd";
static const char __pyx_k_zeros[] = "zeros";
static const char __pyx_k_astype[] = "astype";
static const char __pyx_k_euclid[] = "euclid";
static const char __pyx_k_format[] = "format";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_is_nll[] = "is_nll";
static const char __pyx_k_linalg[] = "linalg";
static const char __pyx_k_neu1_2[] = "neu1";
static const char __pyx_k_points[] = "points";
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_work_2[] = "work";
static const char __pyx_k_alpha_2[] = "_alpha";
static const char __pyx_k_dist_sq[] = "dist_sq";
static const char __pyx_k_float32[] = "float32";
static const char __pyx_k_float64[] = "float64";
static const char __pyx_k_idx_end[] = "idx_end";
static const char __pyx_k_indexes[] = "indexes";
static const char __pyx_k_opt_str[] = "opt_str";
static const char __pyx_k_our_dot[] = "our_dot";
static const char __pyx_k_randint[] = "randint";
static const char __pyx_k_rmsprop[] = "rmsprop";
static const char __pyx_k_syn1neg[] = "syn1neg";
static const char __pyx_k_vectors[] = "vectors";
static const char __pyx_k_vlookup[] = "vlookup";
static const char __pyx_k_Gsyn1neg[] = "Gsyn1neg";
static const char __pyx_k_codelens[] = "codelens";
static const char __pyx_k_cpointer[] = "_cpointer";
static const char __pyx_k_dog_norm[] = "dog norm {}";
static const char __pyx_k_exp_dist[] = "exp-dist";
static const char __pyx_k_expected[] = "expected";
static const char __pyx_k_fullrsgd[] = "fullrsgd";
static const char __pyx_k_get_attr[] = "get_attr";
static const char __pyx_k_get_psim[] = "get_psim";
static const char __pyx_k_log_dist[] = "log-dist";
static const char __pyx_k_negative[] = "negative";
static const char __pyx_k_poincare[] = "poincare";
static const char __pyx_k_pyx_capi[] = "__pyx_capi__";
static const char __pyx_k_sent_idx[] = "sent_idx";
static const char __pyx_k_sentence[] = "sentence";
static const char __pyx_k_sim_func[] = "sim_func";
static const char __pyx_k_EXP_TABLE[] = "EXP_TABLE";
static const char __pyx_k_cbow_mean[] = "cbow_mean";
static const char __pyx_k_cosh_dist[] = "cosh-dist";
static const char __pyx_k_cum_table[] = "cum_table";
static const char __pyx_k_dist_sq_2[] = "dist-sq";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_get_pdist[] = "get_pdist";
static const char __pyx_k_idx_start[] = "idx_start";
static const char __pyx_k_np_result[] = "np_result";
static const char __pyx_k_optimizer[] = "optimizer";
static const char __pyx_k_our_saxpy[] = "our_saxpy";
static const char __pyx_k_sentences[] = "sentences";
static const char __pyx_k_wfullrsgd[] = "wfullrsgd";
static const char __pyx_k_with_bias[] = "with_bias";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_batch_loss[] = "batch_loss";
static const char __pyx_k_index2freq[] = "index2freq";
static const char __pyx_k_l2reg_coef[] = "l2reg_coef";
static const char __pyx_k_max_radius[] = "max radius {}";
static const char __pyx_k_min_radius[] = "min radius {}";
static const char __pyx_k_normalized[] = "normalized";
static const char __pyx_k_sample_int[] = "sample_int";
static const char __pyx_k_trainables[] = "trainables";
static const char __pyx_k_vocabulary[] = "vocabulary";
static const char __pyx_k_word_locks[] = "word_locks";
static const char __pyx_k_ImportError[] = "ImportError";
static const char __pyx_k_log_dist_sq[] = "log-dist-sq";
static const char __pyx_k_next_random[] = "next_random";
static const char __pyx_k_vector_size[] = "vector_size";
static const char __pyx_k_FAST_VERSION[] = "FAST_VERSION";
static const char __pyx_k_RuntimeError[] = "RuntimeError";
static const char __pyx_k_compute_loss[] = "compute_loss";
static const char __pyx_k_cosh_dist_sq[] = "cosh-dist-sq";
static const char __pyx_k_l2reg_coef_2[] = "_l2reg_coef";
static const char __pyx_k_sentence_idx[] = "sentence_idx";
static const char __pyx_k_sentence_len[] = "sentence_len";
static const char __pyx_k_sim_func_str[] = "sim_func_str";
static const char __pyx_k_cosh_dist_pow[] = "cosh_dist_pow";
static const char __pyx_k_cum_table_len[] = "cum_table_len";
static const char __pyx_k_the_max_angle[] = "`the` max angle {}";
static const char __pyx_k_vectors_lockf[] = "vectors_lockf";
static const char __pyx_k_compute_loss_2[] = "_compute_loss";
static const char __pyx_k_get_pdist_moeb[] = "get_pdist_moeb";
static const char __pyx_k_train_batch_sg[] = "train_batch_sg";
static const char __pyx_k_cosh_dist_pow_2[] = "cosh-dist-pow-";
static const char __pyx_k_effective_words[] = "effective_words";
static const char __pyx_k_get_pdist_float[] = "get_pdist_float";
static const char __pyx_k_num_projections[] = "num_projections";
static const char __pyx_k_reduced_windows[] = "reduced_windows";
static const char __pyx_k_train_batch_cbow[] = "train_batch_cbow";
static const char __pyx_k_scipy_linalg_blas[] = "scipy.linalg.blas";
static const char __pyx_k_score_sentence_sg[] = "score_sentence_sg";
static const char __pyx_k_MAX_WORDS_IN_BATCH[] = "MAX_WORDS_IN_BATCH";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_train_batch_sg_dbl[] = "train_batch_sg_dbl";
static const char __pyx_k_effective_sentences[] = "effective_sentences";
static const char __pyx_k_epoch_training_loss[] = "_epoch_training_loss";
static const char __pyx_k_score_sentence_cbow[] = "score_sentence_cbow";
static const char __pyx_k_running_training_loss[] = "running_training_loss";
static const char __pyx_k_Unrecognized_optimizer_type[] = "Unrecognized optimizer type";
static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous";
static const char __pyx_k_gensim_models_word2vec_inner[] = "gensim.models.word2vec_inner";
static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import";
static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)";
static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd";
static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported";
static const char __pyx_k_Unrecognized_similarity_function[] = "Unrecognized similarity function type";
static const char __pyx_k_gensim_models_word2vec_inner_pyx[] = "gensim/models/word2vec_inner.pyx";
static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous";
static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import";
static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short.";
static PyObject *__pyx_n_s_EXP_TABLE;
static PyObject *__pyx_n_s_FAST_VERSION;
static PyObject *__pyx_kp_u_Format_string_allocated_too_shor;
static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2;
static PyObject *__pyx_n_s_Gb0;
static PyObject *__pyx_n_s_Gb1;
static PyObject *__pyx_n_s_Gsyn0;
static PyObject *__pyx_n_s_Gsyn1neg;
static PyObject *__pyx_n_s_ImportError;
static PyObject *__pyx_n_s_MAX_WORDS_IN_BATCH;
static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor;
static PyObject *__pyx_n_s_REAL;
static PyObject *__pyx_n_s_RuntimeError;
static PyObject *__pyx_kp_s_Unrecognized_optimizer_type;
static PyObject *__pyx_kp_s_Unrecognized_similarity_function;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s__30;
static PyObject *__pyx_n_s_a;
static PyObject *__pyx_n_s_aa;
static PyObject *__pyx_n_s_alpha;
static PyObject *__pyx_n_s_alpha_2;
static PyObject *__pyx_n_s_astype;
static PyObject *__pyx_n_s_b;
static PyObject *__pyx_n_s_b0;
static PyObject *__pyx_n_s_b1;
static PyObject *__pyx_n_s_batch_loss;
static PyObject *__pyx_n_s_bb;
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_s_code;
static PyObject *__pyx_n_s_codelens;
static PyObject *__pyx_n_s_codes;
static PyObject *__pyx_n_s_compute_loss;
static PyObject *__pyx_n_s_compute_loss_2;
static PyObject *__pyx_kp_s_cosh_dist;
static PyObject *__pyx_n_s_cosh_dist_pow;
static PyObject *__pyx_kp_s_cosh_dist_pow_2;
static PyObject *__pyx_kp_s_cosh_dist_sq;
static PyObject *__pyx_n_s_cpointer;
static PyObject *__pyx_n_s_cum_table;
static PyObject *__pyx_n_s_cum_table_len;
static PyObject *__pyx_n_s_d_res;
static PyObject *__pyx_n_s_daxpy;
static PyObject *__pyx_n_s_dcopy;
static PyObject *__pyx_n_s_ddot;
static PyObject *__pyx_n_s_debug;
static PyObject *__pyx_n_s_dist_sq;
static PyObject *__pyx_kp_s_dist_sq_2;
static PyObject *__pyx_n_s_dnrm2;
static PyObject *__pyx_n_s_dog;
static PyObject *__pyx_kp_s_dog_norm;
static PyObject *__pyx_n_s_dsbmv;
static PyObject *__pyx_n_s_dscal;
static PyObject *__pyx_n_s_dsdot;
static PyObject *__pyx_n_s_effective_sentences;
static PyObject *__pyx_n_s_effective_words;
static PyObject *__pyx_n_s_end;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_epoch_training_loss;
static PyObject *__pyx_n_s_euclid;
static PyObject *__pyx_kp_s_exp_dist;
static PyObject *__pyx_n_s_expected;
static PyObject *__pyx_n_s_fblas;
static PyObject *__pyx_n_s_file;
static PyObject *__pyx_n_s_float32;
static PyObject *__pyx_n_s_float64;
static PyObject *__pyx_n_s_format;
static PyObject *__pyx_n_s_fullrsgd;
static PyObject *__pyx_n_s_gensim_models_word2vec_inner;
static PyObject *__pyx_kp_s_gensim_models_word2vec_inner_pyx;
static PyObject *__pyx_n_s_get_attr;
static PyObject *__pyx_n_s_get_pdist;
static PyObject *__pyx_n_s_get_pdist_float;
static PyObject *__pyx_n_s_get_pdist_moeb;
static PyObject *__pyx_n_s_get_psim;
static PyObject *__pyx_n_s_hs;
static PyObject *__pyx_n_s_i;
static PyObject *__pyx_n_s_idx_end;
static PyObject *__pyx_n_s_idx_start;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_index;
static PyObject *__pyx_n_s_index2freq;
static PyObject *__pyx_n_s_indexes;
static PyObject *__pyx_n_s_init;
static PyObject *__pyx_n_s_is_nll;
static PyObject *__pyx_n_s_item;
static PyObject *__pyx_n_s_j;
static PyObject *__pyx_n_s_k;
static PyObject *__pyx_n_s_l2reg_coef;
static PyObject *__pyx_n_s_l2reg_coef_2;
static PyObject *__pyx_n_s_linalg;
static PyObject *__pyx_kp_s_log_dist;
static PyObject *__pyx_kp_s_log_dist_sq;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_max;
static PyObject *__pyx_kp_s_max_radius;
static PyObject *__pyx_n_s_min;
static PyObject *__pyx_kp_s_min_radius;
static PyObject *__pyx_n_s_model;
static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous;
static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou;
static PyObject *__pyx_n_s_negative;
static PyObject *__pyx_n_s_neu1;
static PyObject *__pyx_n_s_neu1_2;
static PyObject *__pyx_n_s_next_random;
static PyObject *__pyx_n_s_norm;
static PyObject *__pyx_n_s_normalized;
static PyObject *__pyx_n_s_np;
static PyObject *__pyx_n_s_np_result;
static PyObject *__pyx_n_s_num_projections;
static PyObject *__pyx_n_s_numpy;
static PyObject *__pyx_kp_s_numpy_core_multiarray_failed_to;
static PyObject *__pyx_kp_s_numpy_core_umath_failed_to_impor;
static PyObject *__pyx_n_s_opt_str;
static PyObject *__pyx_n_s_optimizer;
static PyObject *__pyx_n_s_our_dot;
static PyObject *__pyx_n_s_our_saxpy;
static PyObject *__pyx_n_s_p_res;
static PyObject *__pyx_n_s_poincare;
static PyObject *__pyx_n_s_point;
static PyObject *__pyx_n_s_points;
static PyObject *__pyx_n_s_print;
static PyObject *__pyx_n_s_pyx_capi;
static PyObject *__pyx_n_s_randint;
static PyObject *__pyx_n_s_random;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_reduced_windows;
static PyObject *__pyx_n_s_result;
static PyObject *__pyx_n_s_rmsprop;
static PyObject *__pyx_n_s_rsgd;
static PyObject *__pyx_n_s_running_training_loss;
static PyObject *__pyx_n_s_sample;
static PyObject *__pyx_n_s_sample_int;
static PyObject *__pyx_n_s_saxpy;
static PyObject *__pyx_n_s_scipy_linalg_blas;
static PyObject *__pyx_n_s_scopy;
static PyObject *__pyx_n_s_score_sentence_cbow;
static PyObject *__pyx_n_s_score_sentence_sg;
static PyObject *__pyx_n_s_sdot;
static PyObject *__pyx_n_s_sent;
static PyObject *__pyx_n_s_sent_idx;
static PyObject *__pyx_n_s_sentence;
static PyObject *__pyx_n_s_sentence_idx;
static PyObject *__pyx_n_s_sentence_len;
static PyObject *__pyx_n_s_sentences;
static PyObject *__pyx_n_s_sgd;
static PyObject *__pyx_n_s_sim_func;
static PyObject *__pyx_n_s_sim_func_str;
static PyObject *__pyx_n_s_size;
static PyObject *__pyx_n_s_snrm2;
static PyObject *__pyx_n_s_ssbmv;
static PyObject *__pyx_n_s_sscal;
static PyObject *__pyx_n_s_syn0;
static PyObject *__pyx_n_s_syn1;
static PyObject *__pyx_n_s_syn1neg;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_n_s_the;
static PyObject *__pyx_kp_s_the_max_angle;
static PyObject *__pyx_n_s_token;
static PyObject *__pyx_n_s_torus;
static PyObject *__pyx_n_s_train_batch_cbow;
static PyObject *__pyx_n_s_train_batch_sg;
static PyObject *__pyx_n_s_train_batch_sg_dbl;
static PyObject *__pyx_n_s_trainables;
static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd;
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_vlookup;
static PyObject *__pyx_n_s_vocab;
static PyObject *__pyx_n_s_vocabulary;
static PyObject *__pyx_n_s_wfullrsgd;
static PyObject *__pyx_n_s_window;
static PyObject *__pyx_n_s_with_bias;
static PyObject *__pyx_n_s_word;
static PyObject *__pyx_n_s_word_locks;
static PyObject *__pyx_n_s_work;
static PyObject *__pyx_n_s_work_2;
static PyObject *__pyx_n_s_wrsgd;
static PyObject *__pyx_n_s_wsgd;
static PyObject *__pyx_n_s_wv;
static PyObject *__pyx_n_s_x;
static PyObject *__pyx_n_s_y;
static PyObject *__pyx_n_s_zeros;
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_get_pdist_float(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_a, PyObject *__pyx_v_b); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_2get_pdist(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_a, PyObject *__pyx_v_b); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_4get_psim(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_a, PyObject *__pyx_v_b); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_6get_pdist_moeb(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_8train_batch_sg(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_sentences, PyObject *__pyx_v_alpha, PyObject *__pyx_v__work, PyObject *__pyx_v_compute_loss); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_10train_batch_sg_dbl(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_sentences, PyObject *__pyx_v_alpha, PyObject *__pyx_v__work, PyObject *__pyx_v_compute_loss); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_12train_batch_cbow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_sentences, PyObject *__pyx_v_alpha, PyObject *__pyx_v__work, PyObject *__pyx_v__neu1, PyObject *__pyx_v_compute_loss); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_14score_sentence_sg(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_sentence, PyObject *__pyx_v__work); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_16score_sentence_cbow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_sentence, PyObject *__pyx_v__work, PyObject *__pyx_v__neu1); /* proto */
static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_18init(CYTHON_UNUSED PyObject *__pyx_self); /* proto */
static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */
static PyObject *__pyx_float_0_0;
static PyObject *__pyx_int_0;
static PyObject *__pyx_int_1;
static PyObject *__pyx_int_2;
static PyObject *__pyx_int_10000;
static PyObject *__pyx_int_16777216;
static PyObject *__pyx_tuple_;
static PyObject *__pyx_tuple__2;
static PyObject *__pyx_tuple__3;
static PyObject *__pyx_tuple__4;
static PyObject *__pyx_tuple__5;
static PyObject *__pyx_tuple__6;
static PyObject *__pyx_tuple__7;
static PyObject *__pyx_tuple__8;
static PyObject *__pyx_tuple__9;
static PyObject *__pyx_tuple__10;
static PyObject *__pyx_tuple__11;
static PyObject *__pyx_tuple__12;
static PyObject *__pyx_tuple__13;
static PyObject *__pyx_tuple__14;
static PyObject *__pyx_tuple__15;
static PyObject *__pyx_tuple__16;
static PyObject *__pyx_tuple__17;
static PyObject *__pyx_tuple__18;
static PyObject *__pyx_tuple__19;
static PyObject *__pyx_tuple__20;
static PyObject *__pyx_tuple__21;
static PyObject *__pyx_tuple__22;
static PyObject *__pyx_tuple__23;
static PyObject *__pyx_tuple__24;
static PyObject *__pyx_tuple__25;
static PyObject *__pyx_tuple__26;
static PyObject *__pyx_tuple__27;
static PyObject *__pyx_tuple__28;
static PyObject *__pyx_tuple__29;
static PyObject *__pyx_tuple__31;
static PyObject *__pyx_tuple__33;
static PyObject *__pyx_tuple__35;
static PyObject *__pyx_tuple__37;
static PyObject *__pyx_tuple__39;
static PyObject *__pyx_tuple__41;
static PyObject *__pyx_tuple__43;
static PyObject *__pyx_tuple__45;
static PyObject *__pyx_tuple__47;
static PyObject *__pyx_tuple__49;
static PyObject *__pyx_codeobj__32;
static PyObject *__pyx_codeobj__34;
static PyObject *__pyx_codeobj__36;
static PyObject *__pyx_codeobj__38;
static PyObject *__pyx_codeobj__40;
static PyObject *__pyx_codeobj__42;
static PyObject *__pyx_codeobj__44;
static PyObject *__pyx_codeobj__46;
static PyObject *__pyx_codeobj__48;
static PyObject *__pyx_codeobj__50;
/* Late includes */

/* "gensim/models/word2vec_inner.pyx":95
 * 
 * # for when fblas.sdot returns a double
 * cdef REAL_t our_dot_double(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil:             # <<<<<<<<<<<<<<
 *     return <REAL_t>dsdot(N, X, incX, Y, incY)
 * 
 */

static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_f_6gensim_6models_14word2vec_inner_our_dot_double(int const *__pyx_v_N, float const *__pyx_v_X, int const *__pyx_v_incX, float const *__pyx_v_Y, int const *__pyx_v_incY) {
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_r;

  /* "gensim/models/word2vec_inner.pyx":96
 * # for when fblas.sdot returns a double
 * cdef REAL_t our_dot_double(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil:
 *     return <REAL_t>dsdot(N, X, incX, Y, incY)             # <<<<<<<<<<<<<<
 * 
 * # for when fblas.sdot returns a float
 */
  __pyx_r = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)__pyx_v_6gensim_6models_14word2vec_inner_dsdot(__pyx_v_N, __pyx_v_X, __pyx_v_incX, __pyx_v_Y, __pyx_v_incY));
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":95
 * 
 * # for when fblas.sdot returns a double
 * cdef REAL_t our_dot_double(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil:             # <<<<<<<<<<<<<<
 *     return <REAL_t>dsdot(N, X, incX, Y, incY)
 * 
 */

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

/* "gensim/models/word2vec_inner.pyx":99
 * 
 * # for when fblas.sdot returns a float
 * cdef REAL_t our_dot_float(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil:             # <<<<<<<<<<<<<<
 *     return <REAL_t>sdot(N, X, incX, Y, incY)
 * 
 */

static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_f_6gensim_6models_14word2vec_inner_our_dot_float(int const *__pyx_v_N, float const *__pyx_v_X, int const *__pyx_v_incX, float const *__pyx_v_Y, int const *__pyx_v_incY) {
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_r;

  /* "gensim/models/word2vec_inner.pyx":100
 * # for when fblas.sdot returns a float
 * cdef REAL_t our_dot_float(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil:
 *     return <REAL_t>sdot(N, X, incX, Y, incY)             # <<<<<<<<<<<<<<
 * 
 * # for when no blas available
 */
  __pyx_r = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)__pyx_v_6gensim_6models_14word2vec_inner_sdot(__pyx_v_N, __pyx_v_X, __pyx_v_incX, __pyx_v_Y, __pyx_v_incY));
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":99
 * 
 * # for when fblas.sdot returns a float
 * cdef REAL_t our_dot_float(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil:             # <<<<<<<<<<<<<<
 *     return <REAL_t>sdot(N, X, incX, Y, incY)
 * 
 */

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

/* "gensim/models/word2vec_inner.pyx":103
 * 
 * # for when no blas available
 * cdef REAL_t our_dot_noblas(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil:             # <<<<<<<<<<<<<<
 *     # not a true full dot()-implementation: just enough for our cases
 *     cdef int i
 */

static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_f_6gensim_6models_14word2vec_inner_our_dot_noblas(int const *__pyx_v_N, float const *__pyx_v_X, CYTHON_UNUSED int const *__pyx_v_incX, float const *__pyx_v_Y, CYTHON_UNUSED int const *__pyx_v_incY) {
  int __pyx_v_i;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_a;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_r;
  int __pyx_t_1;

  /* "gensim/models/word2vec_inner.pyx":107
 *     cdef int i
 *     cdef REAL_t a
 *     a = <REAL_t>0.0             # <<<<<<<<<<<<<<
 *     for i from 0 <= i < N[0] by 1:
 *         a += X[i] * Y[i]
 */
  __pyx_v_a = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);

  /* "gensim/models/word2vec_inner.pyx":108
 *     cdef REAL_t a
 *     a = <REAL_t>0.0
 *     for i from 0 <= i < N[0] by 1:             # <<<<<<<<<<<<<<
 *         a += X[i] * Y[i]
 *     return a
 */
  __pyx_t_1 = (__pyx_v_N[0]);
  for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_1; __pyx_v_i+=1) {

    /* "gensim/models/word2vec_inner.pyx":109
 *     a = <REAL_t>0.0
 *     for i from 0 <= i < N[0] by 1:
 *         a += X[i] * Y[i]             # <<<<<<<<<<<<<<
 *     return a
 * 
 */
    __pyx_v_a = (__pyx_v_a + ((__pyx_v_X[__pyx_v_i]) * (__pyx_v_Y[__pyx_v_i])));
  }

  /* "gensim/models/word2vec_inner.pyx":110
 *     for i from 0 <= i < N[0] by 1:
 *         a += X[i] * Y[i]
 *     return a             # <<<<<<<<<<<<<<
 * 
 * # for when no blas available
 */
  __pyx_r = __pyx_v_a;
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":103
 * 
 * # for when no blas available
 * cdef REAL_t our_dot_noblas(const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil:             # <<<<<<<<<<<<<<
 *     # not a true full dot()-implementation: just enough for our cases
 *     cdef int i
 */

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

/* "gensim/models/word2vec_inner.pyx":113
 * 
 * # for when no blas available
 * cdef void our_saxpy_noblas(const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil:             # <<<<<<<<<<<<<<
 *     cdef int i
 *     for i from 0 <= i < N[0] by 1:
 */

static void __pyx_f_6gensim_6models_14word2vec_inner_our_saxpy_noblas(int const *__pyx_v_N, float const *__pyx_v_alpha, float const *__pyx_v_X, int const *__pyx_v_incX, float *__pyx_v_Y, int const *__pyx_v_incY) {
  int __pyx_v_i;
  int __pyx_t_1;

  /* "gensim/models/word2vec_inner.pyx":115
 * cdef void our_saxpy_noblas(const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil:
 *     cdef int i
 *     for i from 0 <= i < N[0] by 1:             # <<<<<<<<<<<<<<
 *         Y[i * (incY[0])] = (alpha[0]) * X[i * (incX[0])] + Y[i * (incY[0])]
 * 
 */
  __pyx_t_1 = (__pyx_v_N[0]);
  for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_1; __pyx_v_i+=1) {

    /* "gensim/models/word2vec_inner.pyx":116
 *     cdef int i
 *     for i from 0 <= i < N[0] by 1:
 *         Y[i * (incY[0])] = (alpha[0]) * X[i * (incX[0])] + Y[i * (incY[0])]             # <<<<<<<<<<<<<<
 * 
 * 
 */
    (__pyx_v_Y[(__pyx_v_i * (__pyx_v_incY[0]))]) = (((__pyx_v_alpha[0]) * (__pyx_v_X[(__pyx_v_i * (__pyx_v_incX[0]))])) + (__pyx_v_Y[(__pyx_v_i * (__pyx_v_incY[0]))]));
  }

  /* "gensim/models/word2vec_inner.pyx":113
 * 
 * # for when no blas available
 * cdef void our_saxpy_noblas(const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil:             # <<<<<<<<<<<<<<
 *     cdef int i
 *     for i from 0 <= i < N[0] by 1:
 */

  /* function exit code */
}

/* "gensim/models/word2vec_inner.pyx":120
 * 
 * # Mitigate potential numerical errors
 * cdef double our_tanh(const double x) nogil:             # <<<<<<<<<<<<<<
 *     return tanh(min(max(x, -MAX_TANH_ARG), MAX_TANH_ARG))
 * 
 */

static double __pyx_f_6gensim_6models_14word2vec_inner_our_tanh(double const __pyx_v_x) {
  double __pyx_r;
  long __pyx_t_1;
  long __pyx_t_2;
  double __pyx_t_3;
  double __pyx_t_4;

  /* "gensim/models/word2vec_inner.pyx":121
 * # Mitigate potential numerical errors
 * cdef double our_tanh(const double x) nogil:
 *     return tanh(min(max(x, -MAX_TANH_ARG), MAX_TANH_ARG))             # <<<<<<<<<<<<<<
 * 
 * cdef double* clamp(double *v, int size, double _min, double _max) nogil:
 */
  __pyx_t_1 = 15;
  __pyx_t_2 = -15L;
  __pyx_t_3 = __pyx_v_x;
  if (((__pyx_t_2 > __pyx_t_3) != 0)) {
    __pyx_t_4 = __pyx_t_2;
  } else {
    __pyx_t_4 = __pyx_t_3;
  }
  __pyx_t_3 = __pyx_t_4;
  if (((__pyx_t_1 < __pyx_t_3) != 0)) {
    __pyx_t_4 = __pyx_t_1;
  } else {
    __pyx_t_4 = __pyx_t_3;
  }
  __pyx_r = tanh(__pyx_t_4);
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":120
 * 
 * # Mitigate potential numerical errors
 * cdef double our_tanh(const double x) nogil:             # <<<<<<<<<<<<<<
 *     return tanh(min(max(x, -MAX_TANH_ARG), MAX_TANH_ARG))
 * 
 */

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

/* "gensim/models/word2vec_inner.pyx":123
 *     return tanh(min(max(x, -MAX_TANH_ARG), MAX_TANH_ARG))
 * 
 * cdef double* clamp(double *v, int size, double _min, double _max) nogil:             # <<<<<<<<<<<<<<
 *     for i in range(size):
 *         v[i] = max(_min, min(v[i], _max))
 */

static double *__pyx_f_6gensim_6models_14word2vec_inner_clamp(double *__pyx_v_v, int __pyx_v_size, double __pyx_v__min, double __pyx_v__max) {
  int __pyx_v_i;
  double *__pyx_r;
  int __pyx_t_1;
  int __pyx_t_2;
  int __pyx_t_3;
  double __pyx_t_4;
  double __pyx_t_5;
  double __pyx_t_6;

  /* "gensim/models/word2vec_inner.pyx":124
 * 
 * cdef double* clamp(double *v, int size, double _min, double _max) nogil:
 *     for i in range(size):             # <<<<<<<<<<<<<<
 *         v[i] = max(_min, min(v[i], _max))
 * 
 */
  __pyx_t_1 = __pyx_v_size;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":125
 * cdef double* clamp(double *v, int size, double _min, double _max) nogil:
 *     for i in range(size):
 *         v[i] = max(_min, min(v[i], _max))             # <<<<<<<<<<<<<<
 * 
 * cdef void fast_sentence_sg_hs(
 */
    __pyx_t_4 = __pyx_v__max;
    __pyx_t_5 = (__pyx_v_v[__pyx_v_i]);
    if (((__pyx_t_4 < __pyx_t_5) != 0)) {
      __pyx_t_6 = __pyx_t_4;
    } else {
      __pyx_t_6 = __pyx_t_5;
    }
    __pyx_t_4 = __pyx_t_6;
    __pyx_t_6 = __pyx_v__min;
    if (((__pyx_t_4 > __pyx_t_6) != 0)) {
      __pyx_t_5 = __pyx_t_4;
    } else {
      __pyx_t_5 = __pyx_t_6;
    }
    (__pyx_v_v[__pyx_v_i]) = __pyx_t_5;
  }

  /* "gensim/models/word2vec_inner.pyx":123
 *     return tanh(min(max(x, -MAX_TANH_ARG), MAX_TANH_ARG))
 * 
 * cdef double* clamp(double *v, int size, double _min, double _max) nogil:             # <<<<<<<<<<<<<<
 *     for i in range(size):
 *         v[i] = max(_min, min(v[i], _max))
 */

  /* function exit code */
  __pyx_r = 0;
  return __pyx_r;
}

/* "gensim/models/word2vec_inner.pyx":127
 *         v[i] = max(_min, min(v[i], _max))
 * 
 * cdef void fast_sentence_sg_hs(             # <<<<<<<<<<<<<<
 *     const np.uint32_t *word_point, const np.uint8_t *word_code, const int codelen,
 *     REAL_t *syn0, REAL_t *syn1, const int size,
 */

static void __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int const __pyx_v_codelen, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_word2_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_word_locks, int const __pyx_v__compute_loss, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__epoch_training_loss_param) {
  PY_LONG_LONG __pyx_v_b;
  PY_LONG_LONG __pyx_v_row1;
  PY_LONG_LONG __pyx_v_row2;
  PY_LONG_LONG __pyx_v_sgn;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f_dot;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_lprob;
  int __pyx_t_1;
  int __pyx_t_2;
  PY_LONG_LONG __pyx_t_3;
  int __pyx_t_4;
  int __pyx_t_5;

  /* "gensim/models/word2vec_inner.pyx":134
 * 
 *     cdef long long a, b
 *     cdef long long row1 = word2_index * size, row2, sgn             # <<<<<<<<<<<<<<
 *     cdef REAL_t f, g, f_dot, lprob
 * 
 */
  __pyx_v_row1 = (__pyx_v_word2_index * __pyx_v_size);

  /* "gensim/models/word2vec_inner.pyx":137
 *     cdef REAL_t f, g, f_dot, lprob
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 *     for b in range(codelen):
 *         row2 = word_point[b] * size
 */
  (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":138
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 *     for b in range(codelen):             # <<<<<<<<<<<<<<
 *         row2 = word_point[b] * size
 *         f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1[row2], &ONE)
 */
  __pyx_t_1 = __pyx_v_codelen;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_b = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":139
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 *     for b in range(codelen):
 *         row2 = word_point[b] * size             # <<<<<<<<<<<<<<
 *         f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1[row2], &ONE)
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 */
    __pyx_v_row2 = ((__pyx_v_word_point[__pyx_v_b]) * __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":140
 *     for b in range(codelen):
 *         row2 = word_point[b] * size
 *         f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 *             continue
 */
    __pyx_v_f_dot = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":141
 *         row2 = word_point[b] * size
 *         f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1[row2], &ONE)
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    __pyx_t_5 = ((__pyx_v_f_dot <= -6.0) != 0);
    if (!__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L6_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_f_dot >= 6.0) != 0);
    __pyx_t_4 = __pyx_t_5;
    __pyx_L6_bool_binop_done:;
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":142
 *         f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1[row2], &ONE)
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 *             continue             # <<<<<<<<<<<<<<
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha
 */
      goto __pyx_L3_continue;

      /* "gensim/models/word2vec_inner.pyx":141
 *         row2 = word_point[b] * size
 *         f_dot = our_dot(&size, &syn0[row1], &ONE, &syn1[row2], &ONE)
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    }

    /* "gensim/models/word2vec_inner.pyx":143
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 *             continue
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *         g = (1 - word_code[b] - f) * alpha
 * 
 */
    __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f_dot + 6.0) * 83.0))]);

    /* "gensim/models/word2vec_inner.pyx":144
 *             continue
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha             # <<<<<<<<<<<<<<
 * 
 *         if _compute_loss == 1:
 */
    __pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);

    /* "gensim/models/word2vec_inner.pyx":146
 *         g = (1 - word_code[b] - f) * alpha
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             sgn = (-1)**word_code[b]  # ch function: 0-> 1, 1 -> -1
 *             lprob = -1*sgn*f_dot
 */
    __pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":147
 * 
 *         if _compute_loss == 1:
 *             sgn = (-1)**word_code[b]  # ch function: 0-> 1, 1 -> -1             # <<<<<<<<<<<<<<
 *             lprob = -1*sgn*f_dot
 *             if lprob <= -MAX_EXP or lprob >= MAX_EXP:
 */
      __pyx_v_sgn = __Pyx_pow_long(-1L, ((long)(__pyx_v_word_code[__pyx_v_b])));

      /* "gensim/models/word2vec_inner.pyx":148
 *         if _compute_loss == 1:
 *             sgn = (-1)**word_code[b]  # ch function: 0-> 1, 1 -> -1
 *             lprob = -1*sgn*f_dot             # <<<<<<<<<<<<<<
 *             if lprob <= -MAX_EXP or lprob >= MAX_EXP:
 *                 continue
 */
      __pyx_v_lprob = ((-1LL * __pyx_v_sgn) * __pyx_v_f_dot);

      /* "gensim/models/word2vec_inner.pyx":149
 *             sgn = (-1)**word_code[b]  # ch function: 0-> 1, 1 -> -1
 *             lprob = -1*sgn*f_dot
 *             if lprob <= -MAX_EXP or lprob >= MAX_EXP:             # <<<<<<<<<<<<<<
 *                 continue
 *             lprob = LOG_TABLE[<int>((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
      __pyx_t_5 = ((__pyx_v_lprob <= -6.0) != 0);
      if (!__pyx_t_5) {
      } else {
        __pyx_t_4 = __pyx_t_5;
        goto __pyx_L10_bool_binop_done;
      }
      __pyx_t_5 = ((__pyx_v_lprob >= 6.0) != 0);
      __pyx_t_4 = __pyx_t_5;
      __pyx_L10_bool_binop_done:;
      if (__pyx_t_4) {

        /* "gensim/models/word2vec_inner.pyx":150
 *             lprob = -1*sgn*f_dot
 *             if lprob <= -MAX_EXP or lprob >= MAX_EXP:
 *                 continue             # <<<<<<<<<<<<<<
 *             lprob = LOG_TABLE[<int>((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *             _epoch_training_loss_param[0] = _epoch_training_loss_param[0] - lprob
 */
        goto __pyx_L3_continue;

        /* "gensim/models/word2vec_inner.pyx":149
 *             sgn = (-1)**word_code[b]  # ch function: 0-> 1, 1 -> -1
 *             lprob = -1*sgn*f_dot
 *             if lprob <= -MAX_EXP or lprob >= MAX_EXP:             # <<<<<<<<<<<<<<
 *                 continue
 *             lprob = LOG_TABLE[<int>((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
      }

      /* "gensim/models/word2vec_inner.pyx":151
 *             if lprob <= -MAX_EXP or lprob >= MAX_EXP:
 *                 continue
 *             lprob = LOG_TABLE[<int>((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *             _epoch_training_loss_param[0] = _epoch_training_loss_param[0] - lprob
 * 
 */
      __pyx_v_lprob = (__pyx_v_6gensim_6models_14word2vec_inner_LOG_TABLE[((int)((__pyx_v_lprob + 6.0) * 83.0))]);

      /* "gensim/models/word2vec_inner.pyx":152
 *                 continue
 *             lprob = LOG_TABLE[<int>((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *             _epoch_training_loss_param[0] = _epoch_training_loss_param[0] - lprob             # <<<<<<<<<<<<<<
 * 
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 */
      (__pyx_v__epoch_training_loss_param[0]) = ((__pyx_v__epoch_training_loss_param[0]) - __pyx_v_lprob);

      /* "gensim/models/word2vec_inner.pyx":146
 *         g = (1 - word_code[b] - f) * alpha
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             sgn = (-1)**word_code[b]  # ch function: 0-> 1, 1 -> -1
 *             lprob = -1*sgn*f_dot
 */
    }

    /* "gensim/models/word2vec_inner.pyx":154
 *             _epoch_training_loss_param[0] = _epoch_training_loss_param[0] - lprob
 * 
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &g, &syn0[row1], &ONE, &syn1[row2], &ONE)
 * 
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":155
 * 
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 *         our_saxpy(&size, &g, &syn0[row1], &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
 * 
 *     our_saxpy(&size, &word_locks[word2_index], work, &ONE, &syn0[row1], &ONE)
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
    __pyx_L3_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":157
 *         our_saxpy(&size, &g, &syn0[row1], &ONE, &syn1[row2], &ONE)
 * 
 *     our_saxpy(&size, &word_locks[word2_index], work, &ONE, &syn0[row1], &ONE)             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_word_locks[__pyx_v_word2_index])), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":127
 *         v[i] = max(_min, min(v[i], _max))
 * 
 * cdef void fast_sentence_sg_hs(             # <<<<<<<<<<<<<<
 *     const np.uint32_t *word_point, const np.uint8_t *word_code, const int codelen,
 *     REAL_t *syn0, REAL_t *syn1, const int size,
 */

  /* function exit code */
}

/* "gensim/models/word2vec_inner.pyx":161
 * 
 * # to support random draws from negative-sampling cum_table
 * cdef inline unsigned long long bisect_left(np.uint32_t *a, unsigned long long x, unsigned long long lo, unsigned long long hi) nogil:             # <<<<<<<<<<<<<<
 *     cdef unsigned long long mid
 *     while hi > lo:
 */

static CYTHON_INLINE unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_t_5numpy_uint32_t *__pyx_v_a, unsigned PY_LONG_LONG __pyx_v_x, unsigned PY_LONG_LONG __pyx_v_lo, unsigned PY_LONG_LONG __pyx_v_hi) {
  unsigned PY_LONG_LONG __pyx_v_mid;
  unsigned PY_LONG_LONG __pyx_r;
  int __pyx_t_1;

  /* "gensim/models/word2vec_inner.pyx":163
 * cdef inline unsigned long long bisect_left(np.uint32_t *a, unsigned long long x, unsigned long long lo, unsigned long long hi) nogil:
 *     cdef unsigned long long mid
 *     while hi > lo:             # <<<<<<<<<<<<<<
 *         mid = (lo + hi) >> 1
 *         if a[mid] >= x:
 */
  while (1) {
    __pyx_t_1 = ((__pyx_v_hi > __pyx_v_lo) != 0);
    if (!__pyx_t_1) break;

    /* "gensim/models/word2vec_inner.pyx":164
 *     cdef unsigned long long mid
 *     while hi > lo:
 *         mid = (lo + hi) >> 1             # <<<<<<<<<<<<<<
 *         if a[mid] >= x:
 *             hi = mid
 */
    __pyx_v_mid = ((__pyx_v_lo + __pyx_v_hi) >> 1);

    /* "gensim/models/word2vec_inner.pyx":165
 *     while hi > lo:
 *         mid = (lo + hi) >> 1
 *         if a[mid] >= x:             # <<<<<<<<<<<<<<
 *             hi = mid
 *         else:
 */
    __pyx_t_1 = (((__pyx_v_a[__pyx_v_mid]) >= __pyx_v_x) != 0);
    if (__pyx_t_1) {

      /* "gensim/models/word2vec_inner.pyx":166
 *         mid = (lo + hi) >> 1
 *         if a[mid] >= x:
 *             hi = mid             # <<<<<<<<<<<<<<
 *         else:
 *             lo = mid + 1
 */
      __pyx_v_hi = __pyx_v_mid;

      /* "gensim/models/word2vec_inner.pyx":165
 *     while hi > lo:
 *         mid = (lo + hi) >> 1
 *         if a[mid] >= x:             # <<<<<<<<<<<<<<
 *             hi = mid
 *         else:
 */
      goto __pyx_L5;
    }

    /* "gensim/models/word2vec_inner.pyx":168
 *             hi = mid
 *         else:
 *             lo = mid + 1             # <<<<<<<<<<<<<<
 *     return lo
 * 
 */
    /*else*/ {
      __pyx_v_lo = (__pyx_v_mid + 1);
    }
    __pyx_L5:;
  }

  /* "gensim/models/word2vec_inner.pyx":169
 *         else:
 *             lo = mid + 1
 *     return lo             # <<<<<<<<<<<<<<
 * 
 * # this quick & dirty RNG apparently matches Java's (non-Secure)Random
 */
  __pyx_r = __pyx_v_lo;
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":161
 * 
 * # to support random draws from negative-sampling cum_table
 * cdef inline unsigned long long bisect_left(np.uint32_t *a, unsigned long long x, unsigned long long lo, unsigned long long hi) nogil:             # <<<<<<<<<<<<<<
 *     cdef unsigned long long mid
 *     while hi > lo:
 */

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

/* "gensim/models/word2vec_inner.pyx":173
 * # this quick & dirty RNG apparently matches Java's (non-Secure)Random
 * # note this function side-effects next_random to set up the next number
 * cdef inline unsigned long long random_int32(unsigned long long *next_random) nogil:             # <<<<<<<<<<<<<<
 *     cdef unsigned long long this_random = next_random[0] >> 16
 *     next_random[0] = (next_random[0] * <unsigned long long>25214903917ULL + 11) & 281474976710655ULL
 */

static CYTHON_INLINE unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_random_int32(unsigned PY_LONG_LONG *__pyx_v_next_random) {
  unsigned PY_LONG_LONG __pyx_v_this_random;
  unsigned PY_LONG_LONG __pyx_r;

  /* "gensim/models/word2vec_inner.pyx":174
 * # note this function side-effects next_random to set up the next number
 * cdef inline unsigned long long random_int32(unsigned long long *next_random) nogil:
 *     cdef unsigned long long this_random = next_random[0] >> 16             # <<<<<<<<<<<<<<
 *     next_random[0] = (next_random[0] * <unsigned long long>25214903917ULL + 11) & 281474976710655ULL
 *     return this_random
 */
  __pyx_v_this_random = ((__pyx_v_next_random[0]) >> 16);

  /* "gensim/models/word2vec_inner.pyx":175
 * cdef inline unsigned long long random_int32(unsigned long long *next_random) nogil:
 *     cdef unsigned long long this_random = next_random[0] >> 16
 *     next_random[0] = (next_random[0] * <unsigned long long>25214903917ULL + 11) & 281474976710655ULL             # <<<<<<<<<<<<<<
 *     return this_random
 * 
 */
  (__pyx_v_next_random[0]) = ((((__pyx_v_next_random[0]) * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & 281474976710655ULL);

  /* "gensim/models/word2vec_inner.pyx":176
 *     cdef unsigned long long this_random = next_random[0] >> 16
 *     next_random[0] = (next_random[0] * <unsigned long long>25214903917ULL + 11) & 281474976710655ULL
 *     return this_random             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_this_random;
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":173
 * # this quick & dirty RNG apparently matches Java's (non-Secure)Random
 * # note this function side-effects next_random to set up the next number
 * cdef inline unsigned long long random_int32(unsigned long long *next_random) nogil:             # <<<<<<<<<<<<<<
 *     cdef unsigned long long this_random = next_random[0] >> 16
 *     next_random[0] = (next_random[0] * <unsigned long long>25214903917ULL + 11) & 281474976710655ULL
 */

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

/* "gensim/models/word2vec_inner.pyx":179
 * 
 * 
 * cdef inline void compute_sgns_loss(REAL_t logit, REAL_t *batch_loss, REAL_t *epoch_loss) nogil:             # <<<<<<<<<<<<<<
 *     cdef REAL_t log_e_logit
 * 
 */

static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_compute_sgns_loss(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_logit, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_batch_loss, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_epoch_loss) {
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_log_e_logit;
  int __pyx_t_1;

  /* "gensim/models/word2vec_inner.pyx":182
 *     cdef REAL_t log_e_logit
 * 
 *     if logit >= MAX_EXP:             # <<<<<<<<<<<<<<
 *         log_e_logit = 0.0
 *     elif logit <= -MAX_EXP:
 */
  __pyx_t_1 = ((__pyx_v_logit >= 6.0) != 0);
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":183
 * 
 *     if logit >= MAX_EXP:
 *         log_e_logit = 0.0             # <<<<<<<<<<<<<<
 *     elif logit <= -MAX_EXP:
 *         log_e_logit = logit
 */
    __pyx_v_log_e_logit = 0.0;

    /* "gensim/models/word2vec_inner.pyx":182
 *     cdef REAL_t log_e_logit
 * 
 *     if logit >= MAX_EXP:             # <<<<<<<<<<<<<<
 *         log_e_logit = 0.0
 *     elif logit <= -MAX_EXP:
 */
    goto __pyx_L3;
  }

  /* "gensim/models/word2vec_inner.pyx":184
 *     if logit >= MAX_EXP:
 *         log_e_logit = 0.0
 *     elif logit <= -MAX_EXP:             # <<<<<<<<<<<<<<
 *         log_e_logit = logit
 *     else:
 */
  __pyx_t_1 = ((__pyx_v_logit <= -6.0) != 0);
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":185
 *         log_e_logit = 0.0
 *     elif logit <= -MAX_EXP:
 *         log_e_logit = logit             # <<<<<<<<<<<<<<
 *     else:
 *         log_e_logit = LOG_TABLE[<int>((logit + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    __pyx_v_log_e_logit = __pyx_v_logit;

    /* "gensim/models/word2vec_inner.pyx":184
 *     if logit >= MAX_EXP:
 *         log_e_logit = 0.0
 *     elif logit <= -MAX_EXP:             # <<<<<<<<<<<<<<
 *         log_e_logit = logit
 *     else:
 */
    goto __pyx_L3;
  }

  /* "gensim/models/word2vec_inner.pyx":187
 *         log_e_logit = logit
 *     else:
 *         log_e_logit = LOG_TABLE[<int>((logit + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *     epoch_loss[0] = epoch_loss[0] - log_e_logit
 *     batch_loss[0] = batch_loss[0] - log_e_logit
 */
  /*else*/ {
    __pyx_v_log_e_logit = (__pyx_v_6gensim_6models_14word2vec_inner_LOG_TABLE[((int)((__pyx_v_logit + 6.0) * 83.0))]);
  }
  __pyx_L3:;

  /* "gensim/models/word2vec_inner.pyx":188
 *     else:
 *         log_e_logit = LOG_TABLE[<int>((logit + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *     epoch_loss[0] = epoch_loss[0] - log_e_logit             # <<<<<<<<<<<<<<
 *     batch_loss[0] = batch_loss[0] - log_e_logit
 * 
 */
  (__pyx_v_epoch_loss[0]) = ((__pyx_v_epoch_loss[0]) - __pyx_v_log_e_logit);

  /* "gensim/models/word2vec_inner.pyx":189
 *         log_e_logit = LOG_TABLE[<int>((logit + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *     epoch_loss[0] = epoch_loss[0] - log_e_logit
 *     batch_loss[0] = batch_loss[0] - log_e_logit             # <<<<<<<<<<<<<<
 * 
 * 
 */
  (__pyx_v_batch_loss[0]) = ((__pyx_v_batch_loss[0]) - __pyx_v_log_e_logit);

  /* "gensim/models/word2vec_inner.pyx":179
 * 
 * 
 * cdef inline void compute_sgns_loss(REAL_t logit, REAL_t *batch_loss, REAL_t *epoch_loss) nogil:             # <<<<<<<<<<<<<<
 *     cdef REAL_t log_e_logit
 * 
 */

  /* function exit code */
}

/* "gensim/models/word2vec_inner.pyx":192
 * 
 * 
 * cdef inline void compute_sgns_loss_dbl(DOUBLE_t logit, DOUBLE_t *batch_loss, DOUBLE_t *epoch_loss) nogil:             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t log_e_logit
 * 
 */

static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_compute_sgns_loss_dbl(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_logit, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_batch_loss, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_epoch_loss) {
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_log_e_logit;
  int __pyx_t_1;

  /* "gensim/models/word2vec_inner.pyx":195
 *     cdef DOUBLE_t log_e_logit
 * 
 *     if logit >= MAX_EXP:             # <<<<<<<<<<<<<<
 *         log_e_logit = 0.0
 *     elif logit <= -MAX_EXP:
 */
  __pyx_t_1 = ((__pyx_v_logit >= 6.0) != 0);
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":196
 * 
 *     if logit >= MAX_EXP:
 *         log_e_logit = 0.0             # <<<<<<<<<<<<<<
 *     elif logit <= -MAX_EXP:
 *         log_e_logit = logit
 */
    __pyx_v_log_e_logit = 0.0;

    /* "gensim/models/word2vec_inner.pyx":195
 *     cdef DOUBLE_t log_e_logit
 * 
 *     if logit >= MAX_EXP:             # <<<<<<<<<<<<<<
 *         log_e_logit = 0.0
 *     elif logit <= -MAX_EXP:
 */
    goto __pyx_L3;
  }

  /* "gensim/models/word2vec_inner.pyx":197
 *     if logit >= MAX_EXP:
 *         log_e_logit = 0.0
 *     elif logit <= -MAX_EXP:             # <<<<<<<<<<<<<<
 *         log_e_logit = logit
 *     else:
 */
  __pyx_t_1 = ((__pyx_v_logit <= -6.0) != 0);
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":198
 *         log_e_logit = 0.0
 *     elif logit <= -MAX_EXP:
 *         log_e_logit = logit             # <<<<<<<<<<<<<<
 *     else:
 *         log_e_logit = <DOUBLE_t> LOG_TABLE[<int>((logit + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    __pyx_v_log_e_logit = __pyx_v_logit;

    /* "gensim/models/word2vec_inner.pyx":197
 *     if logit >= MAX_EXP:
 *         log_e_logit = 0.0
 *     elif logit <= -MAX_EXP:             # <<<<<<<<<<<<<<
 *         log_e_logit = logit
 *     else:
 */
    goto __pyx_L3;
  }

  /* "gensim/models/word2vec_inner.pyx":200
 *         log_e_logit = logit
 *     else:
 *         log_e_logit = <DOUBLE_t> LOG_TABLE[<int>((logit + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *     epoch_loss[0] = epoch_loss[0] - log_e_logit
 *     batch_loss[0] = batch_loss[0] - log_e_logit
 */
  /*else*/ {
    __pyx_v_log_e_logit = ((__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t)(__pyx_v_6gensim_6models_14word2vec_inner_LOG_TABLE[((int)((__pyx_v_logit + 6.0) * 83.0))]));
  }
  __pyx_L3:;

  /* "gensim/models/word2vec_inner.pyx":201
 *     else:
 *         log_e_logit = <DOUBLE_t> LOG_TABLE[<int>((logit + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *     epoch_loss[0] = epoch_loss[0] - log_e_logit             # <<<<<<<<<<<<<<
 *     batch_loss[0] = batch_loss[0] - log_e_logit
 * 
 */
  (__pyx_v_epoch_loss[0]) = ((__pyx_v_epoch_loss[0]) - __pyx_v_log_e_logit);

  /* "gensim/models/word2vec_inner.pyx":202
 *         log_e_logit = <DOUBLE_t> LOG_TABLE[<int>((logit + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *     epoch_loss[0] = epoch_loss[0] - log_e_logit
 *     batch_loss[0] = batch_loss[0] - log_e_logit             # <<<<<<<<<<<<<<
 * 
 * 
 */
  (__pyx_v_batch_loss[0]) = ((__pyx_v_batch_loss[0]) - __pyx_v_log_e_logit);

  /* "gensim/models/word2vec_inner.pyx":192
 * 
 * 
 * cdef inline void compute_sgns_loss_dbl(DOUBLE_t logit, DOUBLE_t *batch_loss, DOUBLE_t *epoch_loss) nogil:             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t log_e_logit
 * 
 */

  /* function exit code */
}

/* "gensim/models/word2vec_inner.pyx":222
 * #       debug : {0,1}
 * #           if 1, then run in debug mode
 * cdef inline void update_embedding(REAL_t *emb, REAL_t r, REAL_t *x, const int size, const int normalized,             # <<<<<<<<<<<<<<
 *                                   const int debug) nogil:
 *     cdef REAL_t new_emb[size]
 */

static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_update_embedding(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_emb, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_r, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_x, int const __pyx_v_size, int const __pyx_v_normalized, int const __pyx_v_debug) {
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_new_emb[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_norm_factor;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_emb_norm;
  int __pyx_t_1;

  /* "gensim/models/word2vec_inner.pyx":227
 *     cdef REAL_t norm_factor, emb_norm
 * 
 *     if normalized == 1:             # <<<<<<<<<<<<<<
 *         # If we need to normalize, we MUST compute the update and the scaling separately and then update the
 *         # embedding vector in the global storage. This is absolutely necessary because otherwise issues will emerge
 */
  __pyx_t_1 = ((__pyx_v_normalized == 1) != 0);
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":231
 *         # embedding vector in the global storage. This is absolutely necessary because otherwise issues will emerge
 *         # due to the asynchrony of the system. Each thread, needs to update the global storage only once!
 *         scopy(&size, emb, &ONE, new_emb, &ONE)             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &r, x, &ONE, new_emb, &ONE)
 *         # Scale embedding to unit norm.
 */
    __pyx_v_6gensim_6models_14word2vec_inner_scopy((&__pyx_v_size), __pyx_v_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":232
 *         # due to the asynchrony of the system. Each thread, needs to update the global storage only once!
 *         scopy(&size, emb, &ONE, new_emb, &ONE)
 *         our_saxpy(&size, &r, x, &ONE, new_emb, &ONE)             # <<<<<<<<<<<<<<
 *         # Scale embedding to unit norm.
 *         norm_factor = 1.0 / snrm2(&size, new_emb, &ONE)
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_r), __pyx_v_x, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":234
 *         our_saxpy(&size, &r, x, &ONE, new_emb, &ONE)
 *         # Scale embedding to unit norm.
 *         norm_factor = 1.0 / snrm2(&size, new_emb, &ONE)             # <<<<<<<<<<<<<<
 *         sscal(&size, &norm_factor, new_emb, &ONE)
 *         # Update the embedding in the global storage.
 */
    __pyx_v_norm_factor = (1.0 / __pyx_v_6gensim_6models_14word2vec_inner_snrm2((&__pyx_v_size), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE)));

    /* "gensim/models/word2vec_inner.pyx":235
 *         # Scale embedding to unit norm.
 *         norm_factor = 1.0 / snrm2(&size, new_emb, &ONE)
 *         sscal(&size, &norm_factor, new_emb, &ONE)             # <<<<<<<<<<<<<<
 *         # Update the embedding in the global storage.
 *         scopy(&size, new_emb, &ONE, emb, &ONE)
 */
    __pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_norm_factor), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":237
 *         sscal(&size, &norm_factor, new_emb, &ONE)
 *         # Update the embedding in the global storage.
 *         scopy(&size, new_emb, &ONE, emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 *         if debug:
 */
    __pyx_v_6gensim_6models_14word2vec_inner_scopy((&__pyx_v_size), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":239
 *         scopy(&size, new_emb, &ONE, emb, &ONE)
 * 
 *         if debug:             # <<<<<<<<<<<<<<
 *             emb_norm = snrm2(&size, new_emb, &ONE)
 *             if fabs(1.0 - emb_norm) > 0.0001:
 */
    __pyx_t_1 = (__pyx_v_debug != 0);
    if (__pyx_t_1) {

      /* "gensim/models/word2vec_inner.pyx":240
 * 
 *         if debug:
 *             emb_norm = snrm2(&size, new_emb, &ONE)             # <<<<<<<<<<<<<<
 *             if fabs(1.0 - emb_norm) > 0.0001:
 *                 printf("Failed to normalize the norm of the embeddings. Expected norm 1.0, and got %f.\n", emb_norm)
 */
      __pyx_v_emb_norm = __pyx_v_6gensim_6models_14word2vec_inner_snrm2((&__pyx_v_size), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

      /* "gensim/models/word2vec_inner.pyx":241
 *         if debug:
 *             emb_norm = snrm2(&size, new_emb, &ONE)
 *             if fabs(1.0 - emb_norm) > 0.0001:             # <<<<<<<<<<<<<<
 *                 printf("Failed to normalize the norm of the embeddings. Expected norm 1.0, and got %f.\n", emb_norm)
 *                 exit(-1)
 */
      __pyx_t_1 = ((fabs((1.0 - __pyx_v_emb_norm)) > 0.0001) != 0);
      if (__pyx_t_1) {

        /* "gensim/models/word2vec_inner.pyx":242
 *             emb_norm = snrm2(&size, new_emb, &ONE)
 *             if fabs(1.0 - emb_norm) > 0.0001:
 *                 printf("Failed to normalize the norm of the embeddings. Expected norm 1.0, and got %f.\n", emb_norm)             # <<<<<<<<<<<<<<
 *                 exit(-1)
 *     else:
 */
        (void)(printf(((char const *)"Failed to normalize the norm of the embeddings. Expected norm 1.0, and got %f.\n"), __pyx_v_emb_norm));

        /* "gensim/models/word2vec_inner.pyx":243
 *             if fabs(1.0 - emb_norm) > 0.0001:
 *                 printf("Failed to normalize the norm of the embeddings. Expected norm 1.0, and got %f.\n", emb_norm)
 *                 exit(-1)             # <<<<<<<<<<<<<<
 *     else:
 *         our_saxpy(&size, &r, x, &ONE, emb, &ONE)
 */
        exit(-1);

        /* "gensim/models/word2vec_inner.pyx":241
 *         if debug:
 *             emb_norm = snrm2(&size, new_emb, &ONE)
 *             if fabs(1.0 - emb_norm) > 0.0001:             # <<<<<<<<<<<<<<
 *                 printf("Failed to normalize the norm of the embeddings. Expected norm 1.0, and got %f.\n", emb_norm)
 *                 exit(-1)
 */
      }

      /* "gensim/models/word2vec_inner.pyx":239
 *         scopy(&size, new_emb, &ONE, emb, &ONE)
 * 
 *         if debug:             # <<<<<<<<<<<<<<
 *             emb_norm = snrm2(&size, new_emb, &ONE)
 *             if fabs(1.0 - emb_norm) > 0.0001:
 */
    }

    /* "gensim/models/word2vec_inner.pyx":227
 *     cdef REAL_t norm_factor, emb_norm
 * 
 *     if normalized == 1:             # <<<<<<<<<<<<<<
 *         # If we need to normalize, we MUST compute the update and the scaling separately and then update the
 *         # embedding vector in the global storage. This is absolutely necessary because otherwise issues will emerge
 */
    goto __pyx_L3;
  }

  /* "gensim/models/word2vec_inner.pyx":245
 *                 exit(-1)
 *     else:
 *         our_saxpy(&size, &r, x, &ONE, emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 * 
 */
  /*else*/ {
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_r), __pyx_v_x, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
  }
  __pyx_L3:;

  /* "gensim/models/word2vec_inner.pyx":222
 * #       debug : {0,1}
 * #           if 1, then run in debug mode
 * cdef inline void update_embedding(REAL_t *emb, REAL_t r, REAL_t *x, const int size, const int normalized,             # <<<<<<<<<<<<<<
 *                                   const int debug) nogil:
 *     cdef REAL_t new_emb[size]
 */

  /* function exit code */
}

/* "gensim/models/word2vec_inner.pyx":263
 * # For Poincare embeddings, we always project the embeddings
 * # back to the radius-1 hypersphere, if they are outside it, after the update.
 * cdef inline void update_poincare_embedding(DOUBLE_t *emb, DOUBLE_t r, DOUBLE_t *x, const int size) nogil:             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t new_emb[size]
 *     cdef DOUBLE_t norm_factor, emb_norm, threshold = 1.0 - EPS
 */

static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_emb, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_r, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_x, int const __pyx_v_size) {
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_new_emb[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_norm_factor;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_emb_norm;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_threshold;
  int __pyx_t_1;

  /* "gensim/models/word2vec_inner.pyx":265
 * cdef inline void update_poincare_embedding(DOUBLE_t *emb, DOUBLE_t r, DOUBLE_t *x, const int size) nogil:
 *     cdef DOUBLE_t new_emb[size]
 *     cdef DOUBLE_t norm_factor, emb_norm, threshold = 1.0 - EPS             # <<<<<<<<<<<<<<
 * 
 *     memset(new_emb, 0, size * cython.sizeof(DOUBLE_t))
 */
  __pyx_v_threshold = (1.0 - 1e-05);

  /* "gensim/models/word2vec_inner.pyx":267
 *     cdef DOUBLE_t norm_factor, emb_norm, threshold = 1.0 - EPS
 * 
 *     memset(new_emb, 0, size * cython.sizeof(DOUBLE_t))             # <<<<<<<<<<<<<<
 * 
 *     dcopy(&size, emb, &ONE, new_emb, &ONE)
 */
  (void)(memset(__pyx_v_new_emb, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t)))));

  /* "gensim/models/word2vec_inner.pyx":269
 *     memset(new_emb, 0, size * cython.sizeof(DOUBLE_t))
 * 
 *     dcopy(&size, emb, &ONE, new_emb, &ONE)             # <<<<<<<<<<<<<<
 *     daxpy(&size, &r, x, &ONE, new_emb, &ONE)
 * 
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), __pyx_v_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":270
 * 
 *     dcopy(&size, emb, &ONE, new_emb, &ONE)
 *     daxpy(&size, &r, x, &ONE, new_emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     # Project embedding back to the Poincare ball i.e. scale to unit norm if it is outside the ball.
 */
  __pyx_v_6gensim_6models_14word2vec_inner_daxpy((&__pyx_v_size), (&__pyx_v_r), __pyx_v_x, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":274
 *     # Project embedding back to the Poincare ball i.e. scale to unit norm if it is outside the ball.
 *     # Currently, we do no clipping after the normalization; instead, we normalize the vectors to 1-EPS, instead of 1.
 *     emb_norm = dnrm2(&size, new_emb, &ONE)             # <<<<<<<<<<<<<<
 *     if emb_norm > threshold:
 *         norm_factor = threshold / emb_norm
 */
  __pyx_v_emb_norm = __pyx_v_6gensim_6models_14word2vec_inner_dnrm2((&__pyx_v_size), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":275
 *     # Currently, we do no clipping after the normalization; instead, we normalize the vectors to 1-EPS, instead of 1.
 *     emb_norm = dnrm2(&size, new_emb, &ONE)
 *     if emb_norm > threshold:             # <<<<<<<<<<<<<<
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, new_emb, &ONE)
 */
  __pyx_t_1 = ((__pyx_v_emb_norm > __pyx_v_threshold) != 0);
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":276
 *     emb_norm = dnrm2(&size, new_emb, &ONE)
 *     if emb_norm > threshold:
 *         norm_factor = threshold / emb_norm             # <<<<<<<<<<<<<<
 *         dscal(&size, &norm_factor, new_emb, &ONE)
 * 
 */
    __pyx_v_norm_factor = (__pyx_v_threshold / __pyx_v_emb_norm);

    /* "gensim/models/word2vec_inner.pyx":277
 *     if emb_norm > threshold:
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, new_emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     # Update the embedding in the global storage.
 */
    __pyx_v_6gensim_6models_14word2vec_inner_dscal((&__pyx_v_size), (&__pyx_v_norm_factor), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":275
 *     # Currently, we do no clipping after the normalization; instead, we normalize the vectors to 1-EPS, instead of 1.
 *     emb_norm = dnrm2(&size, new_emb, &ONE)
 *     if emb_norm > threshold:             # <<<<<<<<<<<<<<
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, new_emb, &ONE)
 */
  }

  /* "gensim/models/word2vec_inner.pyx":280
 * 
 *     # Update the embedding in the global storage.
 *     dcopy(&size, new_emb, &ONE, emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":263
 * # For Poincare embeddings, we always project the embeddings
 * # back to the radius-1 hypersphere, if they are outside it, after the update.
 * cdef inline void update_poincare_embedding(DOUBLE_t *emb, DOUBLE_t r, DOUBLE_t *x, const int size) nogil:             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t new_emb[size]
 *     cdef DOUBLE_t norm_factor, emb_norm, threshold = 1.0 - EPS
 */

  /* function exit code */
}

/* "gensim/models/word2vec_inner.pyx":294
 * #       size : scalar
 * #           embedding size
 * cdef inline void update_poincare_embedding_full_rsgd(DOUBLE_t *emb, DOUBLE_t lr, DOUBLE_t *grad, const int size) nogil:             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t new_emb[size]
 *     cdef DOUBLE_t emb_norm, v_norm, dot_emb_v, alpha, gamma, denominator, coef, threshold = 1.0 - EPS, norm_factor
 */

static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_full_rsgd(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_emb, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_lr, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_grad, int const __pyx_v_size) {
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_new_emb[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_emb_norm;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_v_norm;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_dot_emb_v;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_alpha;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_gamma;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_denominator;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_coef;
  CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_threshold;

  /* "gensim/models/word2vec_inner.pyx":296
 * cdef inline void update_poincare_embedding_full_rsgd(DOUBLE_t *emb, DOUBLE_t lr, DOUBLE_t *grad, const int size) nogil:
 *     cdef DOUBLE_t new_emb[size]
 *     cdef DOUBLE_t emb_norm, v_norm, dot_emb_v, alpha, gamma, denominator, coef, threshold = 1.0 - EPS, norm_factor             # <<<<<<<<<<<<<<
 * 
 *     dcopy(&size, emb, &ONE, new_emb, &ONE)
 */
  __pyx_v_threshold = (1.0 - 1e-05);

  /* "gensim/models/word2vec_inner.pyx":298
 *     cdef DOUBLE_t emb_norm, v_norm, dot_emb_v, alpha, gamma, denominator, coef, threshold = 1.0 - EPS, norm_factor
 * 
 *     dcopy(&size, emb, &ONE, new_emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     emb_norm = dnrm2(&size, new_emb, &ONE)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), __pyx_v_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":300
 *     dcopy(&size, emb, &ONE, new_emb, &ONE)
 * 
 *     emb_norm = dnrm2(&size, new_emb, &ONE)             # <<<<<<<<<<<<<<
 *     v_norm = lr * dnrm2(&size, grad, &ONE) + 1e-15
 *     dot_emb_v = ddot(&size, new_emb, &ONE, grad, &ONE) * lr
 */
  __pyx_v_emb_norm = __pyx_v_6gensim_6models_14word2vec_inner_dnrm2((&__pyx_v_size), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":301
 * 
 *     emb_norm = dnrm2(&size, new_emb, &ONE)
 *     v_norm = lr * dnrm2(&size, grad, &ONE) + 1e-15             # <<<<<<<<<<<<<<
 *     dot_emb_v = ddot(&size, new_emb, &ONE, grad, &ONE) * lr
 *     alpha = our_tanh(v_norm / (1 - emb_norm * emb_norm)) / v_norm
 */
  __pyx_v_v_norm = ((__pyx_v_lr * __pyx_v_6gensim_6models_14word2vec_inner_dnrm2((&__pyx_v_size), __pyx_v_grad, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE))) + 1e-15);

  /* "gensim/models/word2vec_inner.pyx":302
 *     emb_norm = dnrm2(&size, new_emb, &ONE)
 *     v_norm = lr * dnrm2(&size, grad, &ONE) + 1e-15
 *     dot_emb_v = ddot(&size, new_emb, &ONE, grad, &ONE) * lr             # <<<<<<<<<<<<<<
 *     alpha = our_tanh(v_norm / (1 - emb_norm * emb_norm)) / v_norm
 *     gamma = alpha * alpha * v_norm * v_norm
 */
  __pyx_v_dot_emb_v = (__pyx_v_6gensim_6models_14word2vec_inner_ddot((&__pyx_v_size), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_grad, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE)) * __pyx_v_lr);

  /* "gensim/models/word2vec_inner.pyx":303
 *     v_norm = lr * dnrm2(&size, grad, &ONE) + 1e-15
 *     dot_emb_v = ddot(&size, new_emb, &ONE, grad, &ONE) * lr
 *     alpha = our_tanh(v_norm / (1 - emb_norm * emb_norm)) / v_norm             # <<<<<<<<<<<<<<
 *     gamma = alpha * alpha * v_norm * v_norm
 *     denominator = 1 + 2 * alpha * dot_emb_v + emb_norm * emb_norm * gamma
 */
  __pyx_v_alpha = (__pyx_f_6gensim_6models_14word2vec_inner_our_tanh((__pyx_v_v_norm / (1.0 - (__pyx_v_emb_norm * __pyx_v_emb_norm)))) / __pyx_v_v_norm);

  /* "gensim/models/word2vec_inner.pyx":304
 *     dot_emb_v = ddot(&size, new_emb, &ONE, grad, &ONE) * lr
 *     alpha = our_tanh(v_norm / (1 - emb_norm * emb_norm)) / v_norm
 *     gamma = alpha * alpha * v_norm * v_norm             # <<<<<<<<<<<<<<
 *     denominator = 1 + 2 * alpha * dot_emb_v + emb_norm * emb_norm * gamma
 *     coef = (1 + 2 * alpha * dot_emb_v + gamma) / denominator
 */
  __pyx_v_gamma = (((__pyx_v_alpha * __pyx_v_alpha) * __pyx_v_v_norm) * __pyx_v_v_norm);

  /* "gensim/models/word2vec_inner.pyx":305
 *     alpha = our_tanh(v_norm / (1 - emb_norm * emb_norm)) / v_norm
 *     gamma = alpha * alpha * v_norm * v_norm
 *     denominator = 1 + 2 * alpha * dot_emb_v + emb_norm * emb_norm * gamma             # <<<<<<<<<<<<<<
 *     coef = (1 + 2 * alpha * dot_emb_v + gamma) / denominator
 *     dscal(&size, &coef, new_emb, &ONE)
 */
  __pyx_v_denominator = ((1.0 + ((2.0 * __pyx_v_alpha) * __pyx_v_dot_emb_v)) + ((__pyx_v_emb_norm * __pyx_v_emb_norm) * __pyx_v_gamma));

  /* "gensim/models/word2vec_inner.pyx":306
 *     gamma = alpha * alpha * v_norm * v_norm
 *     denominator = 1 + 2 * alpha * dot_emb_v + emb_norm * emb_norm * gamma
 *     coef = (1 + 2 * alpha * dot_emb_v + gamma) / denominator             # <<<<<<<<<<<<<<
 *     dscal(&size, &coef, new_emb, &ONE)
 * 
 */
  __pyx_v_coef = (((1.0 + ((2.0 * __pyx_v_alpha) * __pyx_v_dot_emb_v)) + __pyx_v_gamma) / __pyx_v_denominator);

  /* "gensim/models/word2vec_inner.pyx":307
 *     denominator = 1 + 2 * alpha * dot_emb_v + emb_norm * emb_norm * gamma
 *     coef = (1 + 2 * alpha * dot_emb_v + gamma) / denominator
 *     dscal(&size, &coef, new_emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     coef = (1 - emb_norm * emb_norm) * alpha * lr / denominator
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dscal((&__pyx_v_size), (&__pyx_v_coef), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":309
 *     dscal(&size, &coef, new_emb, &ONE)
 * 
 *     coef = (1 - emb_norm * emb_norm) * alpha * lr / denominator             # <<<<<<<<<<<<<<
 *     daxpy(&size, &coef, grad, &ONE, new_emb, &ONE)
 * 
 */
  __pyx_v_coef = ((((1.0 - (__pyx_v_emb_norm * __pyx_v_emb_norm)) * __pyx_v_alpha) * __pyx_v_lr) / __pyx_v_denominator);

  /* "gensim/models/word2vec_inner.pyx":310
 * 
 *     coef = (1 - emb_norm * emb_norm) * alpha * lr / denominator
 *     daxpy(&size, &coef, grad, &ONE, new_emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     # emb_norm = dnrm2(&size, new_emb, &ONE)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_daxpy((&__pyx_v_size), (&__pyx_v_coef), __pyx_v_grad, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":322
 * 
 *     # Update the embedding in the global storage.
 *     dcopy(&size, new_emb, &ONE, emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":294
 * #       size : scalar
 * #           embedding size
 * cdef inline void update_poincare_embedding_full_rsgd(DOUBLE_t *emb, DOUBLE_t lr, DOUBLE_t *grad, const int size) nogil:             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t new_emb[size]
 *     cdef DOUBLE_t emb_norm, v_norm, dot_emb_v, alpha, gamma, denominator, coef, threshold = 1.0 - EPS, norm_factor
 */

  /* function exit code */
}

/* "gensim/models/word2vec_inner.pyx":338
 * #       size : scalar
 * #           embedding size
 * cdef inline void update_poincare_embedding_rmsprop(DOUBLE_t *emb, const DOUBLE_t lr, const DOUBLE_t *grad, DOUBLE_t *G, const int size) nogil:             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t new_emb[size]
 *     cdef DOUBLE_t emb_norm, v_norm, dot_emb_v, alpha, gamma, denominator, coef, adaptive_lr
 */

static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_rmsprop(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_emb, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const __pyx_v_lr, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const *__pyx_v_grad, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_G, int const __pyx_v_size) {
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_new_emb[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_emb_norm;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_adaptive_lr;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_norm_factor;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_threshold;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_coef_old;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_coef_curr;
  int __pyx_t_1;

  /* "gensim/models/word2vec_inner.pyx":341
 *     cdef DOUBLE_t new_emb[size]
 *     cdef DOUBLE_t emb_norm, v_norm, dot_emb_v, alpha, gamma, denominator, coef, adaptive_lr
 *     cdef DOUBLE_t norm_factor, threshold = 1.0 - EPS, coef_old = 0.9, coef_curr = 1-coef_old             # <<<<<<<<<<<<<<
 * 
 *     dcopy(&size, emb, &ONE, new_emb, &ONE)
 */
  __pyx_v_threshold = (1.0 - 1e-05);
  __pyx_v_coef_old = 0.9;
  __pyx_v_coef_curr = (1.0 - __pyx_v_coef_old);

  /* "gensim/models/word2vec_inner.pyx":343
 *     cdef DOUBLE_t norm_factor, threshold = 1.0 - EPS, coef_old = 0.9, coef_curr = 1-coef_old
 * 
 *     dcopy(&size, emb, &ONE, new_emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     # Accumulate squared gradient in G.
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), __pyx_v_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":355
 *     # adaptive_lr = lr / log(dnrm2(&size, G, &ONE))
 * 
 *     G[0] = coef_old * G[0] + coef_curr * ddot(&size, grad, &ONE, grad ,&ONE) + 1e-15             # <<<<<<<<<<<<<<
 *     adaptive_lr = lr / sqrt(G[0])
 * 
 */
  (__pyx_v_G[0]) = (((__pyx_v_coef_old * (__pyx_v_G[0])) + (__pyx_v_coef_curr * __pyx_v_6gensim_6models_14word2vec_inner_ddot((&__pyx_v_size), __pyx_v_grad, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_grad, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE)))) + 1e-15);

  /* "gensim/models/word2vec_inner.pyx":356
 * 
 *     G[0] = coef_old * G[0] + coef_curr * ddot(&size, grad, &ONE, grad ,&ONE) + 1e-15
 *     adaptive_lr = lr / sqrt(G[0])             # <<<<<<<<<<<<<<
 * 
 *     memset(new_emb, 0, size * cython.sizeof(DOUBLE_t))
 */
  __pyx_v_adaptive_lr = (__pyx_v_lr / sqrt((__pyx_v_G[0])));

  /* "gensim/models/word2vec_inner.pyx":358
 *     adaptive_lr = lr / sqrt(G[0])
 * 
 *     memset(new_emb, 0, size * cython.sizeof(DOUBLE_t))             # <<<<<<<<<<<<<<
 * 
 *     dcopy(&size, emb, &ONE, new_emb, &ONE)
 */
  (void)(memset(__pyx_v_new_emb, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t)))));

  /* "gensim/models/word2vec_inner.pyx":360
 *     memset(new_emb, 0, size * cython.sizeof(DOUBLE_t))
 * 
 *     dcopy(&size, emb, &ONE, new_emb, &ONE)             # <<<<<<<<<<<<<<
 *     daxpy(&size, &adaptive_lr, grad, &ONE, new_emb, &ONE)
 * 
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), __pyx_v_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":361
 * 
 *     dcopy(&size, emb, &ONE, new_emb, &ONE)
 *     daxpy(&size, &adaptive_lr, grad, &ONE, new_emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     # Project embedding back to the Poincare ball i.e. scale to unit norm if it is outside the ball.
 */
  __pyx_v_6gensim_6models_14word2vec_inner_daxpy((&__pyx_v_size), (&__pyx_v_adaptive_lr), __pyx_v_grad, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":365
 *     # Project embedding back to the Poincare ball i.e. scale to unit norm if it is outside the ball.
 *     # Currently, we do no clipping after the normalization; instead, we normalize the vectors to 1-EPS, instead of 1.
 *     emb_norm = dnrm2(&size, new_emb, &ONE)             # <<<<<<<<<<<<<<
 *     if emb_norm > threshold:
 *         norm_factor = threshold / emb_norm
 */
  __pyx_v_emb_norm = __pyx_v_6gensim_6models_14word2vec_inner_dnrm2((&__pyx_v_size), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":366
 *     # Currently, we do no clipping after the normalization; instead, we normalize the vectors to 1-EPS, instead of 1.
 *     emb_norm = dnrm2(&size, new_emb, &ONE)
 *     if emb_norm > threshold:             # <<<<<<<<<<<<<<
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, new_emb, &ONE)
 */
  __pyx_t_1 = ((__pyx_v_emb_norm > __pyx_v_threshold) != 0);
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":367
 *     emb_norm = dnrm2(&size, new_emb, &ONE)
 *     if emb_norm > threshold:
 *         norm_factor = threshold / emb_norm             # <<<<<<<<<<<<<<
 *         dscal(&size, &norm_factor, new_emb, &ONE)
 * 
 */
    __pyx_v_norm_factor = (__pyx_v_threshold / __pyx_v_emb_norm);

    /* "gensim/models/word2vec_inner.pyx":368
 *     if emb_norm > threshold:
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, new_emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     # emb_norm = dnrm2(&size, new_emb, &ONE)
 */
    __pyx_v_6gensim_6models_14word2vec_inner_dscal((&__pyx_v_size), (&__pyx_v_norm_factor), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":366
 *     # Currently, we do no clipping after the normalization; instead, we normalize the vectors to 1-EPS, instead of 1.
 *     emb_norm = dnrm2(&size, new_emb, &ONE)
 *     if emb_norm > threshold:             # <<<<<<<<<<<<<<
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, new_emb, &ONE)
 */
  }

  /* "gensim/models/word2vec_inner.pyx":387
 * 
 *     # Update the embedding in the global storage.
 *     dcopy(&size, new_emb, &ONE, emb, &ONE)             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), __pyx_v_new_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_emb, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":338
 * #       size : scalar
 * #           embedding size
 * cdef inline void update_poincare_embedding_rmsprop(DOUBLE_t *emb, const DOUBLE_t lr, const DOUBLE_t *grad, DOUBLE_t *G, const int size) nogil:             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t new_emb[size]
 *     cdef DOUBLE_t emb_norm, v_norm, dot_emb_v, alpha, gamma, denominator, coef, adaptive_lr
 */

  /* function exit code */
}

/* "gensim/models/word2vec_inner.pyx":390
 * 
 * 
 * cdef inline void update_torus_radius(REAL_t *radius, REAL_t alpha, REAL_t *x, const int size) nogil:             # <<<<<<<<<<<<<<
 *     cdef REAL_t new_radius[size]
 *     cdef REAL_t norm_factor, radius_norm
 */

static CYTHON_INLINE void __pyx_f_6gensim_6models_14word2vec_inner_update_torus_radius(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_radius, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_x, int const __pyx_v_size) {
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_new_radius[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_norm_factor;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_radius_norm;
  int __pyx_t_1;

  /* "gensim/models/word2vec_inner.pyx":394
 *     cdef REAL_t norm_factor, radius_norm
 * 
 *     scopy(&size, radius, &ONE, new_radius, &ONE)             # <<<<<<<<<<<<<<
 *     saxpy(&size, &alpha, x, &ONE, new_radius, &ONE)
 * 
 */
  __pyx_v_6gensim_6models_14word2vec_inner_scopy((&__pyx_v_size), __pyx_v_radius, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_new_radius, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":395
 * 
 *     scopy(&size, radius, &ONE, new_radius, &ONE)
 *     saxpy(&size, &alpha, x, &ONE, new_radius, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     # Clip the norm of the radius vector.
 */
  __pyx_v_6gensim_6models_14word2vec_inner_saxpy((&__pyx_v_size), (&__pyx_v_alpha), __pyx_v_x, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_new_radius, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":398
 * 
 *     # Clip the norm of the radius vector.
 *     radius_norm = snrm2(&size, new_radius, &ONE)             # <<<<<<<<<<<<<<
 *     if radius_norm > TORUS_RADIUS_NORM_THRESHOLD:
 *         norm_factor = TORUS_RADIUS_NORM_THRESHOLD / radius_norm
 */
  __pyx_v_radius_norm = __pyx_v_6gensim_6models_14word2vec_inner_snrm2((&__pyx_v_size), __pyx_v_new_radius, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":399
 *     # Clip the norm of the radius vector.
 *     radius_norm = snrm2(&size, new_radius, &ONE)
 *     if radius_norm > TORUS_RADIUS_NORM_THRESHOLD:             # <<<<<<<<<<<<<<
 *         norm_factor = TORUS_RADIUS_NORM_THRESHOLD / radius_norm
 *         sscal(&size, &norm_factor, new_radius, &ONE)
 */
  __pyx_t_1 = ((__pyx_v_radius_norm > 10.0) != 0);
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":400
 *     radius_norm = snrm2(&size, new_radius, &ONE)
 *     if radius_norm > TORUS_RADIUS_NORM_THRESHOLD:
 *         norm_factor = TORUS_RADIUS_NORM_THRESHOLD / radius_norm             # <<<<<<<<<<<<<<
 *         sscal(&size, &norm_factor, new_radius, &ONE)
 * 
 */
    __pyx_v_norm_factor = (10.0 / __pyx_v_radius_norm);

    /* "gensim/models/word2vec_inner.pyx":401
 *     if radius_norm > TORUS_RADIUS_NORM_THRESHOLD:
 *         norm_factor = TORUS_RADIUS_NORM_THRESHOLD / radius_norm
 *         sscal(&size, &norm_factor, new_radius, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     # Update the embedding in the global storage.
 */
    __pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_norm_factor), __pyx_v_new_radius, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":399
 *     # Clip the norm of the radius vector.
 *     radius_norm = snrm2(&size, new_radius, &ONE)
 *     if radius_norm > TORUS_RADIUS_NORM_THRESHOLD:             # <<<<<<<<<<<<<<
 *         norm_factor = TORUS_RADIUS_NORM_THRESHOLD / radius_norm
 *         sscal(&size, &norm_factor, new_radius, &ONE)
 */
  }

  /* "gensim/models/word2vec_inner.pyx":404
 * 
 *     # Update the embedding in the global storage.
 *     scopy(&size, new_radius, &ONE, radius, &ONE)             # <<<<<<<<<<<<<<
 * 
 * # Returns 3 values:
 */
  __pyx_v_6gensim_6models_14word2vec_inner_scopy((&__pyx_v_size), __pyx_v_new_radius, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_radius, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":390
 * 
 * 
 * cdef inline void update_torus_radius(REAL_t *radius, REAL_t alpha, REAL_t *x, const int size) nogil:             # <<<<<<<<<<<<<<
 *     cdef REAL_t new_radius[size]
 *     cdef REAL_t norm_factor, radius_norm
 */

  /* function exit code */
}

/* "gensim/models/word2vec_inner.pyx":410
 * #   result[1] = derivative of the distance wrt v multiplied by the inverse of the conformal factor at v
 * #   result[1+size] = derivative of the distance wrt w multiplied by the inverse of the conformal factor at w
 * cdef REAL_t* poincare_distance_moeb(REAL_t *v, REAL_t *w, const int size, const int c) nogil:             # <<<<<<<<<<<<<<
 *     cdef int start
 *     cdef REAL_t dot_vw, dot_vv, dot_ww, g, coef_v, coef_w, norm_coef, coef, dacosh, denominator, sqrt_c
 */

static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_f_6gensim_6models_14word2vec_inner_poincare_distance_moeb(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_v, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_w, int const __pyx_v_size, int const __pyx_v_c) {
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_dot_vw;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_dot_vv;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_dot_ww;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_coef_v;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_coef_w;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_norm_coef;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_sqrt_c;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_result[(1 + (2 * __pyx_v_size))];
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_tmp[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_r;
  int __pyx_t_1;
  int __pyx_t_2;

  /* "gensim/models/word2vec_inner.pyx":415
 *     cdef REAL_t result[1+2*size], tmp[size]
 * 
 *     memset(result, 0, (2 * size + 1) * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 * 
 *     dot_vv = our_dot(&size, v, &ONE, v, &ONE)
 */
  (void)(memset(__pyx_v_result, 0, (((2 * __pyx_v_size) + 1) * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":417
 *     memset(result, 0, (2 * size + 1) * cython.sizeof(REAL_t))
 * 
 *     dot_vv = our_dot(&size, v, &ONE, v, &ONE)             # <<<<<<<<<<<<<<
 *     dot_ww = our_dot(&size, w, &ONE, w, &ONE)
 *     dot_vw = our_dot(&size, v, &ONE, w, &ONE)
 */
  __pyx_v_dot_vv = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":418
 * 
 *     dot_vv = our_dot(&size, v, &ONE, v, &ONE)
 *     dot_ww = our_dot(&size, w, &ONE, w, &ONE)             # <<<<<<<<<<<<<<
 *     dot_vw = our_dot(&size, v, &ONE, w, &ONE)
 * 
 */
  __pyx_v_dot_ww = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":419
 *     dot_vv = our_dot(&size, v, &ONE, v, &ONE)
 *     dot_ww = our_dot(&size, w, &ONE, w, &ONE)
 *     dot_vw = our_dot(&size, v, &ONE, w, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     # For now, we only support non-negative values for c.
 */
  __pyx_v_dot_vw = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":422
 * 
 *     # For now, we only support non-negative values for c.
 *     if c < 0:             # <<<<<<<<<<<<<<
 *         printf("Expected non-negative value for c and got %d\n", c)
 *         exit(-1)
 */
  __pyx_t_1 = ((__pyx_v_c < 0) != 0);
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":423
 *     # For now, we only support non-negative values for c.
 *     if c < 0:
 *         printf("Expected non-negative value for c and got %d\n", c)             # <<<<<<<<<<<<<<
 *         exit(-1)
 *     sqrt_c = sqrt(c)
 */
    (void)(printf(((char const *)"Expected non-negative value for c and got %d\n"), __pyx_v_c));

    /* "gensim/models/word2vec_inner.pyx":424
 *     if c < 0:
 *         printf("Expected non-negative value for c and got %d\n", c)
 *         exit(-1)             # <<<<<<<<<<<<<<
 *     sqrt_c = sqrt(c)
 * 
 */
    exit(-1);

    /* "gensim/models/word2vec_inner.pyx":422
 * 
 *     # For now, we only support non-negative values for c.
 *     if c < 0:             # <<<<<<<<<<<<<<
 *         printf("Expected non-negative value for c and got %d\n", c)
 *         exit(-1)
 */
  }

  /* "gensim/models/word2vec_inner.pyx":425
 *         printf("Expected non-negative value for c and got %d\n", c)
 *         exit(-1)
 *     sqrt_c = sqrt(c)             # <<<<<<<<<<<<<<
 * 
 *     # Sanity check
 */
  __pyx_v_sqrt_c = sqrt(__pyx_v_c);

  /* "gensim/models/word2vec_inner.pyx":428
 * 
 *     # Sanity check
 *     if dot_vv >= 1 or dot_ww >= 1:             # <<<<<<<<<<<<<<
 *         printf("Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n", dot_vv, dot_ww)
 *         exit(-1)
 */
  __pyx_t_2 = ((__pyx_v_dot_vv >= 1.0) != 0);
  if (!__pyx_t_2) {
  } else {
    __pyx_t_1 = __pyx_t_2;
    goto __pyx_L5_bool_binop_done;
  }
  __pyx_t_2 = ((__pyx_v_dot_ww >= 1.0) != 0);
  __pyx_t_1 = __pyx_t_2;
  __pyx_L5_bool_binop_done:;
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":429
 *     # Sanity check
 *     if dot_vv >= 1 or dot_ww >= 1:
 *         printf("Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n", dot_vv, dot_ww)             # <<<<<<<<<<<<<<
 *         exit(-1)
 * 
 */
    (void)(printf(((char const *)"Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n"), __pyx_v_dot_vv, __pyx_v_dot_ww));

    /* "gensim/models/word2vec_inner.pyx":430
 *     if dot_vv >= 1 or dot_ww >= 1:
 *         printf("Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n", dot_vv, dot_ww)
 *         exit(-1)             # <<<<<<<<<<<<<<
 * 
 *     coef_v = -1.0 + 2 * c * dot_vw - c * dot_ww
 */
    exit(-1);

    /* "gensim/models/word2vec_inner.pyx":428
 * 
 *     # Sanity check
 *     if dot_vv >= 1 or dot_ww >= 1:             # <<<<<<<<<<<<<<
 *         printf("Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n", dot_vv, dot_ww)
 *         exit(-1)
 */
  }

  /* "gensim/models/word2vec_inner.pyx":432
 *         exit(-1)
 * 
 *     coef_v = -1.0 + 2 * c * dot_vw - c * dot_ww             # <<<<<<<<<<<<<<
 *     coef_w = 1.0 - c * dot_vv
 *     norm_coef = 1.0 / fabs(1.0 - 2 * c * dot_vw + c * c * dot_vv * dot_ww)
 */
  __pyx_v_coef_v = ((-1.0 + ((2 * __pyx_v_c) * __pyx_v_dot_vw)) - (__pyx_v_c * __pyx_v_dot_ww));

  /* "gensim/models/word2vec_inner.pyx":433
 * 
 *     coef_v = -1.0 + 2 * c * dot_vw - c * dot_ww
 *     coef_w = 1.0 - c * dot_vv             # <<<<<<<<<<<<<<
 *     norm_coef = 1.0 / fabs(1.0 - 2 * c * dot_vw + c * c * dot_vv * dot_ww)
 *     scopy(&size, v, &ONE, tmp, &ONE)
 */
  __pyx_v_coef_w = (1.0 - (__pyx_v_c * __pyx_v_dot_vv));

  /* "gensim/models/word2vec_inner.pyx":434
 *     coef_v = -1.0 + 2 * c * dot_vw - c * dot_ww
 *     coef_w = 1.0 - c * dot_vv
 *     norm_coef = 1.0 / fabs(1.0 - 2 * c * dot_vw + c * c * dot_vv * dot_ww)             # <<<<<<<<<<<<<<
 *     scopy(&size, v, &ONE, tmp, &ONE)
 *     sscal(&size, &coef_v, tmp, &ONE)
 */
  __pyx_v_norm_coef = (1.0 / fabs(((1.0 - ((2 * __pyx_v_c) * __pyx_v_dot_vw)) + (((__pyx_v_c * __pyx_v_c) * __pyx_v_dot_vv) * __pyx_v_dot_ww))));

  /* "gensim/models/word2vec_inner.pyx":435
 *     coef_w = 1.0 - c * dot_vv
 *     norm_coef = 1.0 / fabs(1.0 - 2 * c * dot_vw + c * c * dot_vv * dot_ww)
 *     scopy(&size, v, &ONE, tmp, &ONE)             # <<<<<<<<<<<<<<
 *     sscal(&size, &coef_v, tmp, &ONE)
 *     our_saxpy(&size, &coef_w, w, &ONE, tmp, &ONE)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_scopy((&__pyx_v_size), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_tmp, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":436
 *     norm_coef = 1.0 / fabs(1.0 - 2 * c * dot_vw + c * c * dot_vv * dot_ww)
 *     scopy(&size, v, &ONE, tmp, &ONE)
 *     sscal(&size, &coef_v, tmp, &ONE)             # <<<<<<<<<<<<<<
 *     our_saxpy(&size, &coef_w, w, &ONE, tmp, &ONE)
 *     g = sqrt_c * norm_coef * snrm2(&size, tmp, &ONE)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_coef_v), __pyx_v_tmp, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":437
 *     scopy(&size, v, &ONE, tmp, &ONE)
 *     sscal(&size, &coef_v, tmp, &ONE)
 *     our_saxpy(&size, &coef_w, w, &ONE, tmp, &ONE)             # <<<<<<<<<<<<<<
 *     g = sqrt_c * norm_coef * snrm2(&size, tmp, &ONE)
 * 
 */
  __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_coef_w), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_tmp, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":438
 *     sscal(&size, &coef_v, tmp, &ONE)
 *     our_saxpy(&size, &coef_w, w, &ONE, tmp, &ONE)
 *     g = sqrt_c * norm_coef * snrm2(&size, tmp, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     result[0] = 2 / sqrt_c * atanh(g)
 */
  __pyx_v_g = ((__pyx_v_sqrt_c * __pyx_v_norm_coef) * __pyx_v_6gensim_6models_14word2vec_inner_snrm2((&__pyx_v_size), __pyx_v_tmp, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE)));

  /* "gensim/models/word2vec_inner.pyx":440
 *     g = sqrt_c * norm_coef * snrm2(&size, tmp, &ONE)
 * 
 *     result[0] = 2 / sqrt_c * atanh(g)             # <<<<<<<<<<<<<<
 * 
 *     # TODO: compute gradients (maybe)
 */
  (__pyx_v_result[0]) = ((2.0 / __pyx_v_sqrt_c) * atanh(__pyx_v_g));

  /* "gensim/models/word2vec_inner.pyx":444
 *     # TODO: compute gradients (maybe)
 * 
 *     return result             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_result;
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":410
 * #   result[1] = derivative of the distance wrt v multiplied by the inverse of the conformal factor at v
 * #   result[1+size] = derivative of the distance wrt w multiplied by the inverse of the conformal factor at w
 * cdef REAL_t* poincare_distance_moeb(REAL_t *v, REAL_t *w, const int size, const int c) nogil:             # <<<<<<<<<<<<<<
 *     cdef int start
 *     cdef REAL_t dot_vw, dot_vv, dot_ww, g, coef_v, coef_w, norm_coef, coef, dacosh, denominator, sqrt_c
 */

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

/* "gensim/models/word2vec_inner.pyx":451
 * #   result[1] = derivative of the distance wrt v multiplied by the inverse of the conformal factor at v
 * #   result[1+size] = derivative of the distance wrt w multiplied by the inverse of the conformal factor at w
 * cdef void poincare_distance_float(REAL_t *result, REAL_t *v, REAL_t *w, const int size) nogil:             # <<<<<<<<<<<<<<
 *     cdef int start
 *     cdef REAL_t dot_vw, dot_vv, dot_ww, g, alpha_v, beta_w, coef, dist, dacosh, factor, squared_dist
 */

static void __pyx_f_6gensim_6models_14word2vec_inner_poincare_distance_float(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_result, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_v, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_w, int const __pyx_v_size) {
  int __pyx_v_start;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_dot_vw;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_dot_vv;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_dot_ww;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_alpha_v;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_beta_w;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_coef;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_dacosh;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_factor;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_squared_dist;
  int __pyx_t_1;
  int __pyx_t_2;

  /* "gensim/models/word2vec_inner.pyx":455
 *     cdef REAL_t dot_vw, dot_vv, dot_ww, g, alpha_v, beta_w, coef, dist, dacosh, factor, squared_dist
 * 
 *     memset(result, 0, (2 * size + 1) * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 * 
 *     dot_vv = our_dot(&size, v, &ONE, v, &ONE)
 */
  (void)(memset(__pyx_v_result, 0, (((2 * __pyx_v_size) + 1) * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":457
 *     memset(result, 0, (2 * size + 1) * cython.sizeof(REAL_t))
 * 
 *     dot_vv = our_dot(&size, v, &ONE, v, &ONE)             # <<<<<<<<<<<<<<
 *     dot_ww = our_dot(&size, w, &ONE, w, &ONE)
 *     dot_vw = our_dot(&size, v, &ONE, w, &ONE)
 */
  __pyx_v_dot_vv = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":458
 * 
 *     dot_vv = our_dot(&size, v, &ONE, v, &ONE)
 *     dot_ww = our_dot(&size, w, &ONE, w, &ONE)             # <<<<<<<<<<<<<<
 *     dot_vw = our_dot(&size, v, &ONE, w, &ONE)
 * 
 */
  __pyx_v_dot_ww = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":459
 *     dot_vv = our_dot(&size, v, &ONE, v, &ONE)
 *     dot_ww = our_dot(&size, w, &ONE, w, &ONE)
 *     dot_vw = our_dot(&size, v, &ONE, w, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     # Sanity check
 */
  __pyx_v_dot_vw = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":462
 * 
 *     # Sanity check
 *     if dot_vv >= 1 or dot_ww >= 1:             # <<<<<<<<<<<<<<
 *         printf("Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n", dot_vv, dot_ww)
 *         exit(-1)
 */
  __pyx_t_2 = ((__pyx_v_dot_vv >= 1.0) != 0);
  if (!__pyx_t_2) {
  } else {
    __pyx_t_1 = __pyx_t_2;
    goto __pyx_L4_bool_binop_done;
  }
  __pyx_t_2 = ((__pyx_v_dot_ww >= 1.0) != 0);
  __pyx_t_1 = __pyx_t_2;
  __pyx_L4_bool_binop_done:;
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":463
 *     # Sanity check
 *     if dot_vv >= 1 or dot_ww >= 1:
 *         printf("Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n", dot_vv, dot_ww)             # <<<<<<<<<<<<<<
 *         exit(-1)
 * 
 */
    (void)(printf(((char const *)"Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n"), __pyx_v_dot_vv, __pyx_v_dot_ww));

    /* "gensim/models/word2vec_inner.pyx":464
 *     if dot_vv >= 1 or dot_ww >= 1:
 *         printf("Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n", dot_vv, dot_ww)
 *         exit(-1)             # <<<<<<<<<<<<<<
 * 
 *     alpha_v = 1 - dot_vv
 */
    exit(-1);

    /* "gensim/models/word2vec_inner.pyx":462
 * 
 *     # Sanity check
 *     if dot_vv >= 1 or dot_ww >= 1:             # <<<<<<<<<<<<<<
 *         printf("Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n", dot_vv, dot_ww)
 *         exit(-1)
 */
  }

  /* "gensim/models/word2vec_inner.pyx":466
 *         exit(-1)
 * 
 *     alpha_v = 1 - dot_vv             # <<<<<<<<<<<<<<
 *     beta_w = 1 - dot_ww
 *     squared_dist = dot_vv + dot_ww - 2 * dot_vw
 */
  __pyx_v_alpha_v = (1.0 - __pyx_v_dot_vv);

  /* "gensim/models/word2vec_inner.pyx":467
 * 
 *     alpha_v = 1 - dot_vv
 *     beta_w = 1 - dot_ww             # <<<<<<<<<<<<<<
 *     squared_dist = dot_vv + dot_ww - 2 * dot_vw
 *     g = 1 + 2 * squared_dist / (alpha_v * beta_w)
 */
  __pyx_v_beta_w = (1.0 - __pyx_v_dot_ww);

  /* "gensim/models/word2vec_inner.pyx":468
 *     alpha_v = 1 - dot_vv
 *     beta_w = 1 - dot_ww
 *     squared_dist = dot_vv + dot_ww - 2 * dot_vw             # <<<<<<<<<<<<<<
 *     g = 1 + 2 * squared_dist / (alpha_v * beta_w)
 * 
 */
  __pyx_v_squared_dist = ((__pyx_v_dot_vv + __pyx_v_dot_ww) - (2.0 * __pyx_v_dot_vw));

  /* "gensim/models/word2vec_inner.pyx":469
 *     beta_w = 1 - dot_ww
 *     squared_dist = dot_vv + dot_ww - 2 * dot_vw
 *     g = 1 + 2 * squared_dist / (alpha_v * beta_w)             # <<<<<<<<<<<<<<
 * 
 *     result[0] = acosh(g)
 */
  __pyx_v_g = (1.0 + ((2.0 * __pyx_v_squared_dist) / (__pyx_v_alpha_v * __pyx_v_beta_w)));

  /* "gensim/models/word2vec_inner.pyx":471
 *     g = 1 + 2 * squared_dist / (alpha_v * beta_w)
 * 
 *     result[0] = acosh(g)             # <<<<<<<<<<<<<<
 * 
 *     # Derivative of acosh contribution.
 */
  (__pyx_v_result[0]) = acosh(__pyx_v_g);

  /* "gensim/models/word2vec_inner.pyx":474
 * 
 *     # Derivative of acosh contribution.
 *     dacosh = sqrt(g * g - 1)             # <<<<<<<<<<<<<<
 * 
 *     # Compute derivative wrt v multiplied by the inverse of the conformal factor at v.
 */
  __pyx_v_dacosh = sqrt(((__pyx_v_g * __pyx_v_g) - 1.0));

  /* "gensim/models/word2vec_inner.pyx":477
 * 
 *     # Compute derivative wrt v multiplied by the inverse of the conformal factor at v.
 *     factor = 1.0 / dacosh * alpha_v / beta_w             # <<<<<<<<<<<<<<
 *     start = 1
 *     # result[1] = coef1 * v + coef2 * w
 */
  __pyx_v_factor = (((1.0 / __pyx_v_dacosh) * __pyx_v_alpha_v) / __pyx_v_beta_w);

  /* "gensim/models/word2vec_inner.pyx":478
 *     # Compute derivative wrt v multiplied by the inverse of the conformal factor at v.
 *     factor = 1.0 / dacosh * alpha_v / beta_w
 *     start = 1             # <<<<<<<<<<<<<<
 *     # result[1] = coef1 * v + coef2 * w
 *     scopy(&size, v, &ONE, &result[start], &ONE)
 */
  __pyx_v_start = 1;

  /* "gensim/models/word2vec_inner.pyx":480
 *     start = 1
 *     # result[1] = coef1 * v + coef2 * w
 *     scopy(&size, v, &ONE, &result[start], &ONE)             # <<<<<<<<<<<<<<
 *     coef = (1.0 + squared_dist / alpha_v) * factor
 *     sscal(&size, &coef, &result[start], &ONE)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_scopy((&__pyx_v_size), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_result[__pyx_v_start])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":481
 *     # result[1] = coef1 * v + coef2 * w
 *     scopy(&size, v, &ONE, &result[start], &ONE)
 *     coef = (1.0 + squared_dist / alpha_v) * factor             # <<<<<<<<<<<<<<
 *     sscal(&size, &coef, &result[start], &ONE)
 *     coef = -factor
 */
  __pyx_v_coef = ((1.0 + (__pyx_v_squared_dist / __pyx_v_alpha_v)) * __pyx_v_factor);

  /* "gensim/models/word2vec_inner.pyx":482
 *     scopy(&size, v, &ONE, &result[start], &ONE)
 *     coef = (1.0 + squared_dist / alpha_v) * factor
 *     sscal(&size, &coef, &result[start], &ONE)             # <<<<<<<<<<<<<<
 *     coef = -factor
 *     our_saxpy(&size, &coef, w, &ONE, &result[start], &ONE)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_coef), (&(__pyx_v_result[__pyx_v_start])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":483
 *     coef = (1.0 + squared_dist / alpha_v) * factor
 *     sscal(&size, &coef, &result[start], &ONE)
 *     coef = -factor             # <<<<<<<<<<<<<<
 *     our_saxpy(&size, &coef, w, &ONE, &result[start], &ONE)
 * 
 */
  __pyx_v_coef = (-__pyx_v_factor);

  /* "gensim/models/word2vec_inner.pyx":484
 *     sscal(&size, &coef, &result[start], &ONE)
 *     coef = -factor
 *     our_saxpy(&size, &coef, w, &ONE, &result[start], &ONE)             # <<<<<<<<<<<<<<
 * 
 *     # Compute derivative wrt w multiplied by the inverse of the conformal factor at w.
 */
  __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_coef), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_result[__pyx_v_start])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":487
 * 
 *     # Compute derivative wrt w multiplied by the inverse of the conformal factor at w.
 *     factor = 1.0 / dacosh * beta_w / alpha_v             # <<<<<<<<<<<<<<
 *     start = 1 + size
 *     # result[1+size] = coef1 * w + coef2 * v
 */
  __pyx_v_factor = (((1.0 / __pyx_v_dacosh) * __pyx_v_beta_w) / __pyx_v_alpha_v);

  /* "gensim/models/word2vec_inner.pyx":488
 *     # Compute derivative wrt w multiplied by the inverse of the conformal factor at w.
 *     factor = 1.0 / dacosh * beta_w / alpha_v
 *     start = 1 + size             # <<<<<<<<<<<<<<
 *     # result[1+size] = coef1 * w + coef2 * v
 *     scopy(&size, w, &ONE, &result[start], &ONE)
 */
  __pyx_v_start = (1 + __pyx_v_size);

  /* "gensim/models/word2vec_inner.pyx":490
 *     start = 1 + size
 *     # result[1+size] = coef1 * w + coef2 * v
 *     scopy(&size, w, &ONE, &result[start], &ONE)             # <<<<<<<<<<<<<<
 *     coef = (1.0 + squared_dist / beta_w) * factor
 *     sscal(&size, &coef, &result[start], &ONE)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_scopy((&__pyx_v_size), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_result[__pyx_v_start])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":491
 *     # result[1+size] = coef1 * w + coef2 * v
 *     scopy(&size, w, &ONE, &result[start], &ONE)
 *     coef = (1.0 + squared_dist / beta_w) * factor             # <<<<<<<<<<<<<<
 *     sscal(&size, &coef, &result[start], &ONE)
 *     coef = -factor
 */
  __pyx_v_coef = ((1.0 + (__pyx_v_squared_dist / __pyx_v_beta_w)) * __pyx_v_factor);

  /* "gensim/models/word2vec_inner.pyx":492
 *     scopy(&size, w, &ONE, &result[start], &ONE)
 *     coef = (1.0 + squared_dist / beta_w) * factor
 *     sscal(&size, &coef, &result[start], &ONE)             # <<<<<<<<<<<<<<
 *     coef = -factor
 *     our_saxpy(&size, &coef, v, &ONE, &result[start], &ONE)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_coef), (&(__pyx_v_result[__pyx_v_start])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":493
 *     coef = (1.0 + squared_dist / beta_w) * factor
 *     sscal(&size, &coef, &result[start], &ONE)
 *     coef = -factor             # <<<<<<<<<<<<<<
 *     our_saxpy(&size, &coef, v, &ONE, &result[start], &ONE)
 * 
 */
  __pyx_v_coef = (-__pyx_v_factor);

  /* "gensim/models/word2vec_inner.pyx":494
 *     sscal(&size, &coef, &result[start], &ONE)
 *     coef = -factor
 *     our_saxpy(&size, &coef, v, &ONE, &result[start], &ONE)             # <<<<<<<<<<<<<<
 * 
 * # result will contain 3 values:
 */
  __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_coef), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_result[__pyx_v_start])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":451
 * #   result[1] = derivative of the distance wrt v multiplied by the inverse of the conformal factor at v
 * #   result[1+size] = derivative of the distance wrt w multiplied by the inverse of the conformal factor at w
 * cdef void poincare_distance_float(REAL_t *result, REAL_t *v, REAL_t *w, const int size) nogil:             # <<<<<<<<<<<<<<
 *     cdef int start
 *     cdef REAL_t dot_vw, dot_vv, dot_ww, g, alpha_v, beta_w, coef, dist, dacosh, factor, squared_dist
 */

  /* function exit code */
}

/* "gensim/models/word2vec_inner.pyx":500
 * #   result[1] = Riemannian derivative of the similarity wrt v (i.e. Euclidean derivative / conformal factor at v)
 * #   result[1+size] = Riemannian derivative of the similarity wrt w (i.e. Euclidean derivative / conformal factor at w)
 * cdef void poincare_similarity(DOUBLE_t *result, DOUBLE_t *v, DOUBLE_t *w, const int size, const SimFuncType sim_func,             # <<<<<<<<<<<<<<
 *                               const DOUBLE_t cosh_dist_pow, int *num_projections) nogil:
 *     cdef int start
 */

static void __pyx_f_6gensim_6models_14word2vec_inner_poincare_similarity(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_result, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_v, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_w, int const __pyx_v_size, enum __pyx_t_6gensim_6models_14word2vec_inner_SimFuncType const __pyx_v_sim_func, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const __pyx_v_cosh_dist_pow, int *__pyx_v_num_projections) {
  int __pyx_v_start;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_dot_vv;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_dot_ww;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_alpha_v;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_beta_w;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_coef;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_p_dist;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_dS_dg;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_factor;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_squared_dist;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_threshold;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_norm_factor;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_emb_norm;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_scale;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_diff[__pyx_v_size];
  int __pyx_t_1;
  int __pyx_t_2;

  /* "gensim/models/word2vec_inner.pyx":504
 *     cdef int start
 *     cdef DOUBLE_t dot_vv, dot_ww, g, alpha_v, beta_w, coef, p_dist, dS_dg, factor, squared_dist
 *     cdef DOUBLE_t threshold = 1-EPS, norm_factor, emb_norm, scale             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t diff[size]
 * 
 */
  __pyx_v_threshold = (1.0 - 1e-05);

  /* "gensim/models/word2vec_inner.pyx":507
 *     cdef DOUBLE_t diff[size]
 * 
 *     emb_norm = dnrm2(&size, v, &ONE)             # <<<<<<<<<<<<<<
 *     if emb_norm > threshold:
 *         norm_factor = threshold / emb_norm
 */
  __pyx_v_emb_norm = __pyx_v_6gensim_6models_14word2vec_inner_dnrm2((&__pyx_v_size), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":508
 * 
 *     emb_norm = dnrm2(&size, v, &ONE)
 *     if emb_norm > threshold:             # <<<<<<<<<<<<<<
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, v, &ONE)
 */
  __pyx_t_1 = ((__pyx_v_emb_norm > __pyx_v_threshold) != 0);
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":509
 *     emb_norm = dnrm2(&size, v, &ONE)
 *     if emb_norm > threshold:
 *         norm_factor = threshold / emb_norm             # <<<<<<<<<<<<<<
 *         dscal(&size, &norm_factor, v, &ONE)
 *         dot_vv = threshold * threshold
 */
    __pyx_v_norm_factor = (__pyx_v_threshold / __pyx_v_emb_norm);

    /* "gensim/models/word2vec_inner.pyx":510
 *     if emb_norm > threshold:
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, v, &ONE)             # <<<<<<<<<<<<<<
 *         dot_vv = threshold * threshold
 *         if num_projections != NULL:
 */
    __pyx_v_6gensim_6models_14word2vec_inner_dscal((&__pyx_v_size), (&__pyx_v_norm_factor), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":511
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, v, &ONE)
 *         dot_vv = threshold * threshold             # <<<<<<<<<<<<<<
 *         if num_projections != NULL:
 *             num_projections[0] = num_projections[0] + 1
 */
    __pyx_v_dot_vv = (__pyx_v_threshold * __pyx_v_threshold);

    /* "gensim/models/word2vec_inner.pyx":512
 *         dscal(&size, &norm_factor, v, &ONE)
 *         dot_vv = threshold * threshold
 *         if num_projections != NULL:             # <<<<<<<<<<<<<<
 *             num_projections[0] = num_projections[0] + 1
 *         # printf("[%d] Old v norm %f\n", v, emb_norm)
 */
    __pyx_t_1 = ((__pyx_v_num_projections != NULL) != 0);
    if (__pyx_t_1) {

      /* "gensim/models/word2vec_inner.pyx":513
 *         dot_vv = threshold * threshold
 *         if num_projections != NULL:
 *             num_projections[0] = num_projections[0] + 1             # <<<<<<<<<<<<<<
 *         # printf("[%d] Old v norm %f\n", v, emb_norm)
 *     else:
 */
      (__pyx_v_num_projections[0]) = ((__pyx_v_num_projections[0]) + 1);

      /* "gensim/models/word2vec_inner.pyx":512
 *         dscal(&size, &norm_factor, v, &ONE)
 *         dot_vv = threshold * threshold
 *         if num_projections != NULL:             # <<<<<<<<<<<<<<
 *             num_projections[0] = num_projections[0] + 1
 *         # printf("[%d] Old v norm %f\n", v, emb_norm)
 */
    }

    /* "gensim/models/word2vec_inner.pyx":508
 * 
 *     emb_norm = dnrm2(&size, v, &ONE)
 *     if emb_norm > threshold:             # <<<<<<<<<<<<<<
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, v, &ONE)
 */
    goto __pyx_L3;
  }

  /* "gensim/models/word2vec_inner.pyx":516
 *         # printf("[%d] Old v norm %f\n", v, emb_norm)
 *     else:
 *         dot_vv = emb_norm * emb_norm             # <<<<<<<<<<<<<<
 * 
 *     emb_norm = dnrm2(&size, w, &ONE)
 */
  /*else*/ {
    __pyx_v_dot_vv = (__pyx_v_emb_norm * __pyx_v_emb_norm);
  }
  __pyx_L3:;

  /* "gensim/models/word2vec_inner.pyx":518
 *         dot_vv = emb_norm * emb_norm
 * 
 *     emb_norm = dnrm2(&size, w, &ONE)             # <<<<<<<<<<<<<<
 *     if emb_norm > threshold:
 *         norm_factor = threshold / emb_norm
 */
  __pyx_v_emb_norm = __pyx_v_6gensim_6models_14word2vec_inner_dnrm2((&__pyx_v_size), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":519
 * 
 *     emb_norm = dnrm2(&size, w, &ONE)
 *     if emb_norm > threshold:             # <<<<<<<<<<<<<<
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, w, &ONE)
 */
  __pyx_t_1 = ((__pyx_v_emb_norm > __pyx_v_threshold) != 0);
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":520
 *     emb_norm = dnrm2(&size, w, &ONE)
 *     if emb_norm > threshold:
 *         norm_factor = threshold / emb_norm             # <<<<<<<<<<<<<<
 *         dscal(&size, &norm_factor, w, &ONE)
 *         dot_ww = threshold * threshold
 */
    __pyx_v_norm_factor = (__pyx_v_threshold / __pyx_v_emb_norm);

    /* "gensim/models/word2vec_inner.pyx":521
 *     if emb_norm > threshold:
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, w, &ONE)             # <<<<<<<<<<<<<<
 *         dot_ww = threshold * threshold
 *         if num_projections != NULL:
 */
    __pyx_v_6gensim_6models_14word2vec_inner_dscal((&__pyx_v_size), (&__pyx_v_norm_factor), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":522
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, w, &ONE)
 *         dot_ww = threshold * threshold             # <<<<<<<<<<<<<<
 *         if num_projections != NULL:
 *             num_projections[0] = num_projections[0] + 1
 */
    __pyx_v_dot_ww = (__pyx_v_threshold * __pyx_v_threshold);

    /* "gensim/models/word2vec_inner.pyx":523
 *         dscal(&size, &norm_factor, w, &ONE)
 *         dot_ww = threshold * threshold
 *         if num_projections != NULL:             # <<<<<<<<<<<<<<
 *             num_projections[0] = num_projections[0] + 1
 *         # printf("[%d] Old w norm %f\n", w, emb_norm)
 */
    __pyx_t_1 = ((__pyx_v_num_projections != NULL) != 0);
    if (__pyx_t_1) {

      /* "gensim/models/word2vec_inner.pyx":524
 *         dot_ww = threshold * threshold
 *         if num_projections != NULL:
 *             num_projections[0] = num_projections[0] + 1             # <<<<<<<<<<<<<<
 *         # printf("[%d] Old w norm %f\n", w, emb_norm)
 *     else:
 */
      (__pyx_v_num_projections[0]) = ((__pyx_v_num_projections[0]) + 1);

      /* "gensim/models/word2vec_inner.pyx":523
 *         dscal(&size, &norm_factor, w, &ONE)
 *         dot_ww = threshold * threshold
 *         if num_projections != NULL:             # <<<<<<<<<<<<<<
 *             num_projections[0] = num_projections[0] + 1
 *         # printf("[%d] Old w norm %f\n", w, emb_norm)
 */
    }

    /* "gensim/models/word2vec_inner.pyx":519
 * 
 *     emb_norm = dnrm2(&size, w, &ONE)
 *     if emb_norm > threshold:             # <<<<<<<<<<<<<<
 *         norm_factor = threshold / emb_norm
 *         dscal(&size, &norm_factor, w, &ONE)
 */
    goto __pyx_L5;
  }

  /* "gensim/models/word2vec_inner.pyx":527
 *         # printf("[%d] Old w norm %f\n", w, emb_norm)
 *     else:
 *         dot_ww = emb_norm * emb_norm             # <<<<<<<<<<<<<<
 * 
 *     # Sanity check
 */
  /*else*/ {
    __pyx_v_dot_ww = (__pyx_v_emb_norm * __pyx_v_emb_norm);
  }
  __pyx_L5:;

  /* "gensim/models/word2vec_inner.pyx":530
 * 
 *     # Sanity check
 *     if dot_vv >= 1 or dot_ww >= 1 or isnan(dot_vv) or isnan(dot_ww):             # <<<<<<<<<<<<<<
 *         printf("[%d, %d] Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n", v, w, dot_vv, dot_ww)
 *         exit(-1)
 */
  __pyx_t_2 = ((__pyx_v_dot_vv >= 1.0) != 0);
  if (!__pyx_t_2) {
  } else {
    __pyx_t_1 = __pyx_t_2;
    goto __pyx_L8_bool_binop_done;
  }
  __pyx_t_2 = ((__pyx_v_dot_ww >= 1.0) != 0);
  if (!__pyx_t_2) {
  } else {
    __pyx_t_1 = __pyx_t_2;
    goto __pyx_L8_bool_binop_done;
  }
  __pyx_t_2 = (isnan(__pyx_v_dot_vv) != 0);
  if (!__pyx_t_2) {
  } else {
    __pyx_t_1 = __pyx_t_2;
    goto __pyx_L8_bool_binop_done;
  }
  __pyx_t_2 = (isnan(__pyx_v_dot_ww) != 0);
  __pyx_t_1 = __pyx_t_2;
  __pyx_L8_bool_binop_done:;
  if (__pyx_t_1) {

    /* "gensim/models/word2vec_inner.pyx":531
 *     # Sanity check
 *     if dot_vv >= 1 or dot_ww >= 1 or isnan(dot_vv) or isnan(dot_ww):
 *         printf("[%d, %d] Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n", v, w, dot_vv, dot_ww)             # <<<<<<<<<<<<<<
 *         exit(-1)
 * 
 */
    (void)(printf(((char const *)"[%d, %d] Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n"), __pyx_v_v, __pyx_v_w, __pyx_v_dot_vv, __pyx_v_dot_ww));

    /* "gensim/models/word2vec_inner.pyx":532
 *     if dot_vv >= 1 or dot_ww >= 1 or isnan(dot_vv) or isnan(dot_ww):
 *         printf("[%d, %d] Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n", v, w, dot_vv, dot_ww)
 *         exit(-1)             # <<<<<<<<<<<<<<
 * 
 *     dcopy(&size, v, &ONE, diff, &ONE)
 */
    exit(-1);

    /* "gensim/models/word2vec_inner.pyx":530
 * 
 *     # Sanity check
 *     if dot_vv >= 1 or dot_ww >= 1 or isnan(dot_vv) or isnan(dot_ww):             # <<<<<<<<<<<<<<
 *         printf("[%d, %d] Cannot compute Poincare distance between points. Points need to be inside the unit ball, but their squared norm is %f and %f.\n", v, w, dot_vv, dot_ww)
 *         exit(-1)
 */
  }

  /* "gensim/models/word2vec_inner.pyx":534
 *         exit(-1)
 * 
 *     dcopy(&size, v, &ONE, diff, &ONE)             # <<<<<<<<<<<<<<
 *     daxpy(&size, &MINUS_ONED, w, &ONE, diff, &ONE)
 *     squared_dist = ddot(&size, diff, &ONE, diff, &ONE)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_diff, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":535
 * 
 *     dcopy(&size, v, &ONE, diff, &ONE)
 *     daxpy(&size, &MINUS_ONED, w, &ONE, diff, &ONE)             # <<<<<<<<<<<<<<
 *     squared_dist = ddot(&size, diff, &ONE, diff, &ONE)
 * 
 */
  __pyx_v_6gensim_6models_14word2vec_inner_daxpy((&__pyx_v_size), (&__pyx_v_6gensim_6models_14word2vec_inner_MINUS_ONED), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_diff, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":536
 *     dcopy(&size, v, &ONE, diff, &ONE)
 *     daxpy(&size, &MINUS_ONED, w, &ONE, diff, &ONE)
 *     squared_dist = ddot(&size, diff, &ONE, diff, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     alpha_v = 1 - dot_vv
 */
  __pyx_v_squared_dist = __pyx_v_6gensim_6models_14word2vec_inner_ddot((&__pyx_v_size), __pyx_v_diff, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_diff, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":538
 *     squared_dist = ddot(&size, diff, &ONE, diff, &ONE)
 * 
 *     alpha_v = 1 - dot_vv             # <<<<<<<<<<<<<<
 *     beta_w = 1 - dot_ww
 *     g = 1 + 2 * squared_dist / (alpha_v * beta_w)
 */
  __pyx_v_alpha_v = (1.0 - __pyx_v_dot_vv);

  /* "gensim/models/word2vec_inner.pyx":539
 * 
 *     alpha_v = 1 - dot_vv
 *     beta_w = 1 - dot_ww             # <<<<<<<<<<<<<<
 *     g = 1 + 2 * squared_dist / (alpha_v * beta_w)
 * 
 */
  __pyx_v_beta_w = (1.0 - __pyx_v_dot_ww);

  /* "gensim/models/word2vec_inner.pyx":540
 *     alpha_v = 1 - dot_vv
 *     beta_w = 1 - dot_ww
 *     g = 1 + 2 * squared_dist / (alpha_v * beta_w)             # <<<<<<<<<<<<<<
 * 
 *     if sim_func == SimFuncType.DIST_SQ:
 */
  __pyx_v_g = (1.0 + ((2.0 * __pyx_v_squared_dist) / (__pyx_v_alpha_v * __pyx_v_beta_w)));

  /* "gensim/models/word2vec_inner.pyx":542
 *     g = 1 + 2 * squared_dist / (alpha_v * beta_w)
 * 
 *     if sim_func == SimFuncType.DIST_SQ:             # <<<<<<<<<<<<<<
 *         # Similarity is -poincare_dist(v, w)^2.
 *         p_dist = acosh(g)
 */
  switch (__pyx_v_sim_func) {
    case __pyx_e_6gensim_6models_14word2vec_inner_DIST_SQ:

    /* "gensim/models/word2vec_inner.pyx":544
 *     if sim_func == SimFuncType.DIST_SQ:
 *         # Similarity is -poincare_dist(v, w)^2.
 *         p_dist = acosh(g)             # <<<<<<<<<<<<<<
 *         result[0] = -p_dist * p_dist
 *     elif sim_func == SimFuncType.COSH_DIST_SQ:
 */
    __pyx_v_p_dist = acosh(__pyx_v_g);

    /* "gensim/models/word2vec_inner.pyx":545
 *         # Similarity is -poincare_dist(v, w)^2.
 *         p_dist = acosh(g)
 *         result[0] = -p_dist * p_dist             # <<<<<<<<<<<<<<
 *     elif sim_func == SimFuncType.COSH_DIST_SQ:
 *         # Similarity is -cosh(poincare_dist(v, w))^2.
 */
    (__pyx_v_result[0]) = ((-__pyx_v_p_dist) * __pyx_v_p_dist);

    /* "gensim/models/word2vec_inner.pyx":542
 *     g = 1 + 2 * squared_dist / (alpha_v * beta_w)
 * 
 *     if sim_func == SimFuncType.DIST_SQ:             # <<<<<<<<<<<<<<
 *         # Similarity is -poincare_dist(v, w)^2.
 *         p_dist = acosh(g)
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":546
 *         p_dist = acosh(g)
 *         result[0] = -p_dist * p_dist
 *     elif sim_func == SimFuncType.COSH_DIST_SQ:             # <<<<<<<<<<<<<<
 *         # Similarity is -cosh(poincare_dist(v, w))^2.
 *         p_dist = g
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_COSH_DIST_SQ:

    /* "gensim/models/word2vec_inner.pyx":548
 *     elif sim_func == SimFuncType.COSH_DIST_SQ:
 *         # Similarity is -cosh(poincare_dist(v, w))^2.
 *         p_dist = g             # <<<<<<<<<<<<<<
 *         result[0] = -p_dist * p_dist
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:
 */
    __pyx_v_p_dist = __pyx_v_g;

    /* "gensim/models/word2vec_inner.pyx":549
 *         # Similarity is -cosh(poincare_dist(v, w))^2.
 *         p_dist = g
 *         result[0] = -p_dist * p_dist             # <<<<<<<<<<<<<<
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:
 *         # Similarity is -cosh(poincare_dist(v, w))^k.
 */
    (__pyx_v_result[0]) = ((-__pyx_v_p_dist) * __pyx_v_p_dist);

    /* "gensim/models/word2vec_inner.pyx":546
 *         p_dist = acosh(g)
 *         result[0] = -p_dist * p_dist
 *     elif sim_func == SimFuncType.COSH_DIST_SQ:             # <<<<<<<<<<<<<<
 *         # Similarity is -cosh(poincare_dist(v, w))^2.
 *         p_dist = g
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":550
 *         p_dist = g
 *         result[0] = -p_dist * p_dist
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:             # <<<<<<<<<<<<<<
 *         # Similarity is -cosh(poincare_dist(v, w))^k.
 *         p_dist = pow(g, cosh_dist_pow)
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_COSH_DIST_POW_K:

    /* "gensim/models/word2vec_inner.pyx":552
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:
 *         # Similarity is -cosh(poincare_dist(v, w))^k.
 *         p_dist = pow(g, cosh_dist_pow)             # <<<<<<<<<<<<<<
 *         result[0] = -p_dist
 *     elif sim_func == SimFuncType.COSH_DIST:
 */
    __pyx_v_p_dist = pow(__pyx_v_g, __pyx_v_cosh_dist_pow);

    /* "gensim/models/word2vec_inner.pyx":553
 *         # Similarity is -cosh(poincare_dist(v, w))^k.
 *         p_dist = pow(g, cosh_dist_pow)
 *         result[0] = -p_dist             # <<<<<<<<<<<<<<
 *     elif sim_func == SimFuncType.COSH_DIST:
 *         # Similarity is -cosh(poincare_dist(v, w)).
 */
    (__pyx_v_result[0]) = (-__pyx_v_p_dist);

    /* "gensim/models/word2vec_inner.pyx":550
 *         p_dist = g
 *         result[0] = -p_dist * p_dist
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:             # <<<<<<<<<<<<<<
 *         # Similarity is -cosh(poincare_dist(v, w))^k.
 *         p_dist = pow(g, cosh_dist_pow)
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":554
 *         p_dist = pow(g, cosh_dist_pow)
 *         result[0] = -p_dist
 *     elif sim_func == SimFuncType.COSH_DIST:             # <<<<<<<<<<<<<<
 *         # Similarity is -cosh(poincare_dist(v, w)).
 *         p_dist = g
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_COSH_DIST:

    /* "gensim/models/word2vec_inner.pyx":556
 *     elif sim_func == SimFuncType.COSH_DIST:
 *         # Similarity is -cosh(poincare_dist(v, w)).
 *         p_dist = g             # <<<<<<<<<<<<<<
 *         result[0] = -p_dist
 *     elif sim_func == SimFuncType.LOG_DIST:
 */
    __pyx_v_p_dist = __pyx_v_g;

    /* "gensim/models/word2vec_inner.pyx":557
 *         # Similarity is -cosh(poincare_dist(v, w)).
 *         p_dist = g
 *         result[0] = -p_dist             # <<<<<<<<<<<<<<
 *     elif sim_func == SimFuncType.LOG_DIST:
 *         # Similarity is -log(poincare_dist(v, w)).
 */
    (__pyx_v_result[0]) = (-__pyx_v_p_dist);

    /* "gensim/models/word2vec_inner.pyx":554
 *         p_dist = pow(g, cosh_dist_pow)
 *         result[0] = -p_dist
 *     elif sim_func == SimFuncType.COSH_DIST:             # <<<<<<<<<<<<<<
 *         # Similarity is -cosh(poincare_dist(v, w)).
 *         p_dist = g
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":558
 *         p_dist = g
 *         result[0] = -p_dist
 *     elif sim_func == SimFuncType.LOG_DIST:             # <<<<<<<<<<<<<<
 *         # Similarity is -log(poincare_dist(v, w)).
 *         p_dist = acosh(g)
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_LOG_DIST:

    /* "gensim/models/word2vec_inner.pyx":560
 *     elif sim_func == SimFuncType.LOG_DIST:
 *         # Similarity is -log(poincare_dist(v, w)).
 *         p_dist = acosh(g)             # <<<<<<<<<<<<<<
 *         result[0] = -log(p_dist)
 *     elif sim_func == SimFuncType.LOG_DIST_SQ:
 */
    __pyx_v_p_dist = acosh(__pyx_v_g);

    /* "gensim/models/word2vec_inner.pyx":561
 *         # Similarity is -log(poincare_dist(v, w)).
 *         p_dist = acosh(g)
 *         result[0] = -log(p_dist)             # <<<<<<<<<<<<<<
 *     elif sim_func == SimFuncType.LOG_DIST_SQ:
 *         # Similarity is -log(poincare_dist(v, w)^2 + 1).
 */
    (__pyx_v_result[0]) = (-log(__pyx_v_p_dist));

    /* "gensim/models/word2vec_inner.pyx":558
 *         p_dist = g
 *         result[0] = -p_dist
 *     elif sim_func == SimFuncType.LOG_DIST:             # <<<<<<<<<<<<<<
 *         # Similarity is -log(poincare_dist(v, w)).
 *         p_dist = acosh(g)
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":562
 *         p_dist = acosh(g)
 *         result[0] = -log(p_dist)
 *     elif sim_func == SimFuncType.LOG_DIST_SQ:             # <<<<<<<<<<<<<<
 *         # Similarity is -log(poincare_dist(v, w)^2 + 1).
 *         p_dist = acosh(g)
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_LOG_DIST_SQ:

    /* "gensim/models/word2vec_inner.pyx":564
 *     elif sim_func == SimFuncType.LOG_DIST_SQ:
 *         # Similarity is -log(poincare_dist(v, w)^2 + 1).
 *         p_dist = acosh(g)             # <<<<<<<<<<<<<<
 *         result[0] = -log(p_dist * p_dist + 1)
 *     elif sim_func == SimFuncType.EXP_DIST:
 */
    __pyx_v_p_dist = acosh(__pyx_v_g);

    /* "gensim/models/word2vec_inner.pyx":565
 *         # Similarity is -log(poincare_dist(v, w)^2 + 1).
 *         p_dist = acosh(g)
 *         result[0] = -log(p_dist * p_dist + 1)             # <<<<<<<<<<<<<<
 *     elif sim_func == SimFuncType.EXP_DIST:
 *         # Similarity is -exp(poincare_dist(v, w)).
 */
    (__pyx_v_result[0]) = (-log(((__pyx_v_p_dist * __pyx_v_p_dist) + 1.0)));

    /* "gensim/models/word2vec_inner.pyx":562
 *         p_dist = acosh(g)
 *         result[0] = -log(p_dist)
 *     elif sim_func == SimFuncType.LOG_DIST_SQ:             # <<<<<<<<<<<<<<
 *         # Similarity is -log(poincare_dist(v, w)^2 + 1).
 *         p_dist = acosh(g)
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":566
 *         p_dist = acosh(g)
 *         result[0] = -log(p_dist * p_dist + 1)
 *     elif sim_func == SimFuncType.EXP_DIST:             # <<<<<<<<<<<<<<
 *         # Similarity is -exp(poincare_dist(v, w)).
 *         p_dist = acosh(g)
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_EXP_DIST:

    /* "gensim/models/word2vec_inner.pyx":568
 *     elif sim_func == SimFuncType.EXP_DIST:
 *         # Similarity is -exp(poincare_dist(v, w)).
 *         p_dist = acosh(g)             # <<<<<<<<<<<<<<
 *         result[0] = -g - sqrt(g * g - 1)
 * 
 */
    __pyx_v_p_dist = acosh(__pyx_v_g);

    /* "gensim/models/word2vec_inner.pyx":569
 *         # Similarity is -exp(poincare_dist(v, w)).
 *         p_dist = acosh(g)
 *         result[0] = -g - sqrt(g * g - 1)             # <<<<<<<<<<<<<<
 * 
 *     # Derivative of similarity wrt g.
 */
    (__pyx_v_result[0]) = ((-__pyx_v_g) - sqrt(((__pyx_v_g * __pyx_v_g) - 1.0)));

    /* "gensim/models/word2vec_inner.pyx":566
 *         p_dist = acosh(g)
 *         result[0] = -log(p_dist * p_dist + 1)
 *     elif sim_func == SimFuncType.EXP_DIST:             # <<<<<<<<<<<<<<
 *         # Similarity is -exp(poincare_dist(v, w)).
 *         p_dist = acosh(g)
 */
    break;
    default: break;
  }

  /* "gensim/models/word2vec_inner.pyx":572
 * 
 *     # Derivative of similarity wrt g.
 *     if sim_func == SimFuncType.DIST_SQ:             # <<<<<<<<<<<<<<
 *         if fabs(g - 1.0) > 0.00001:
 *             dS_dg = -2.0 * p_dist / sqrt(g * g - 1)
 */
  switch (__pyx_v_sim_func) {
    case __pyx_e_6gensim_6models_14word2vec_inner_DIST_SQ:

    /* "gensim/models/word2vec_inner.pyx":573
 *     # Derivative of similarity wrt g.
 *     if sim_func == SimFuncType.DIST_SQ:
 *         if fabs(g - 1.0) > 0.00001:             # <<<<<<<<<<<<<<
 *             dS_dg = -2.0 * p_dist / sqrt(g * g - 1)
 *         else:
 */
    __pyx_t_1 = ((fabs((__pyx_v_g - 1.0)) > 0.00001) != 0);
    if (__pyx_t_1) {

      /* "gensim/models/word2vec_inner.pyx":574
 *     if sim_func == SimFuncType.DIST_SQ:
 *         if fabs(g - 1.0) > 0.00001:
 *             dS_dg = -2.0 * p_dist / sqrt(g * g - 1)             # <<<<<<<<<<<<<<
 *         else:
 *             # dS_dg is -2 for lim g->1
 */
      __pyx_v_dS_dg = ((-2.0 * __pyx_v_p_dist) / sqrt(((__pyx_v_g * __pyx_v_g) - 1.0)));

      /* "gensim/models/word2vec_inner.pyx":573
 *     # Derivative of similarity wrt g.
 *     if sim_func == SimFuncType.DIST_SQ:
 *         if fabs(g - 1.0) > 0.00001:             # <<<<<<<<<<<<<<
 *             dS_dg = -2.0 * p_dist / sqrt(g * g - 1)
 *         else:
 */
      goto __pyx_L12;
    }

    /* "gensim/models/word2vec_inner.pyx":577
 *         else:
 *             # dS_dg is -2 for lim g->1
 *             dS_dg = -2.0             # <<<<<<<<<<<<<<
 *     elif sim_func == SimFuncType.COSH_DIST_SQ:
 *         dS_dg = -2.0 * p_dist
 */
    /*else*/ {
      __pyx_v_dS_dg = -2.0;
    }
    __pyx_L12:;

    /* "gensim/models/word2vec_inner.pyx":572
 * 
 *     # Derivative of similarity wrt g.
 *     if sim_func == SimFuncType.DIST_SQ:             # <<<<<<<<<<<<<<
 *         if fabs(g - 1.0) > 0.00001:
 *             dS_dg = -2.0 * p_dist / sqrt(g * g - 1)
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":578
 *             # dS_dg is -2 for lim g->1
 *             dS_dg = -2.0
 *     elif sim_func == SimFuncType.COSH_DIST_SQ:             # <<<<<<<<<<<<<<
 *         dS_dg = -2.0 * p_dist
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_COSH_DIST_SQ:

    /* "gensim/models/word2vec_inner.pyx":579
 *             dS_dg = -2.0
 *     elif sim_func == SimFuncType.COSH_DIST_SQ:
 *         dS_dg = -2.0 * p_dist             # <<<<<<<<<<<<<<
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:
 *         dS_dg = -cosh_dist_pow * p_dist / g
 */
    __pyx_v_dS_dg = (-2.0 * __pyx_v_p_dist);

    /* "gensim/models/word2vec_inner.pyx":578
 *             # dS_dg is -2 for lim g->1
 *             dS_dg = -2.0
 *     elif sim_func == SimFuncType.COSH_DIST_SQ:             # <<<<<<<<<<<<<<
 *         dS_dg = -2.0 * p_dist
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":580
 *     elif sim_func == SimFuncType.COSH_DIST_SQ:
 *         dS_dg = -2.0 * p_dist
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:             # <<<<<<<<<<<<<<
 *         dS_dg = -cosh_dist_pow * p_dist / g
 *     elif sim_func == SimFuncType.COSH_DIST:
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_COSH_DIST_POW_K:

    /* "gensim/models/word2vec_inner.pyx":581
 *         dS_dg = -2.0 * p_dist
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:
 *         dS_dg = -cosh_dist_pow * p_dist / g             # <<<<<<<<<<<<<<
 *     elif sim_func == SimFuncType.COSH_DIST:
 *         dS_dg = -1.0
 */
    __pyx_v_dS_dg = (((-__pyx_v_cosh_dist_pow) * __pyx_v_p_dist) / __pyx_v_g);

    /* "gensim/models/word2vec_inner.pyx":580
 *     elif sim_func == SimFuncType.COSH_DIST_SQ:
 *         dS_dg = -2.0 * p_dist
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:             # <<<<<<<<<<<<<<
 *         dS_dg = -cosh_dist_pow * p_dist / g
 *     elif sim_func == SimFuncType.COSH_DIST:
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":582
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:
 *         dS_dg = -cosh_dist_pow * p_dist / g
 *     elif sim_func == SimFuncType.COSH_DIST:             # <<<<<<<<<<<<<<
 *         dS_dg = -1.0
 *     elif sim_func == SimFuncType.LOG_DIST:
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_COSH_DIST:

    /* "gensim/models/word2vec_inner.pyx":583
 *         dS_dg = -cosh_dist_pow * p_dist / g
 *     elif sim_func == SimFuncType.COSH_DIST:
 *         dS_dg = -1.0             # <<<<<<<<<<<<<<
 *     elif sim_func == SimFuncType.LOG_DIST:
 *         if fabs(g - 1.0) > 0.00001:
 */
    __pyx_v_dS_dg = -1.0;

    /* "gensim/models/word2vec_inner.pyx":582
 *     elif sim_func == SimFuncType.COSH_DIST_POW_K:
 *         dS_dg = -cosh_dist_pow * p_dist / g
 *     elif sim_func == SimFuncType.COSH_DIST:             # <<<<<<<<<<<<<<
 *         dS_dg = -1.0
 *     elif sim_func == SimFuncType.LOG_DIST:
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":584
 *     elif sim_func == SimFuncType.COSH_DIST:
 *         dS_dg = -1.0
 *     elif sim_func == SimFuncType.LOG_DIST:             # <<<<<<<<<<<<<<
 *         if fabs(g - 1.0) > 0.00001:
 *             dS_dg = -1.0 / sqrt(g * g - 1) / p_dist
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_LOG_DIST:

    /* "gensim/models/word2vec_inner.pyx":585
 *         dS_dg = -1.0
 *     elif sim_func == SimFuncType.LOG_DIST:
 *         if fabs(g - 1.0) > 0.00001:             # <<<<<<<<<<<<<<
 *             dS_dg = -1.0 / sqrt(g * g - 1) / p_dist
 *         else:
 */
    __pyx_t_1 = ((fabs((__pyx_v_g - 1.0)) > 0.00001) != 0);
    if (__pyx_t_1) {

      /* "gensim/models/word2vec_inner.pyx":586
 *     elif sim_func == SimFuncType.LOG_DIST:
 *         if fabs(g - 1.0) > 0.00001:
 *             dS_dg = -1.0 / sqrt(g * g - 1) / p_dist             # <<<<<<<<<<<<<<
 *         else:
 *             # dS_dg is -1 for lim g->1
 */
      __pyx_v_dS_dg = ((-1.0 / sqrt(((__pyx_v_g * __pyx_v_g) - 1.0))) / __pyx_v_p_dist);

      /* "gensim/models/word2vec_inner.pyx":585
 *         dS_dg = -1.0
 *     elif sim_func == SimFuncType.LOG_DIST:
 *         if fabs(g - 1.0) > 0.00001:             # <<<<<<<<<<<<<<
 *             dS_dg = -1.0 / sqrt(g * g - 1) / p_dist
 *         else:
 */
      goto __pyx_L13;
    }

    /* "gensim/models/word2vec_inner.pyx":589
 *         else:
 *             # dS_dg is -1 for lim g->1
 *             dS_dg = -1.0             # <<<<<<<<<<<<<<
 *     elif sim_func == SimFuncType.LOG_DIST_SQ:
 *         if fabs(g - 1.0) > 0.00001:
 */
    /*else*/ {
      __pyx_v_dS_dg = -1.0;
    }
    __pyx_L13:;

    /* "gensim/models/word2vec_inner.pyx":584
 *     elif sim_func == SimFuncType.COSH_DIST:
 *         dS_dg = -1.0
 *     elif sim_func == SimFuncType.LOG_DIST:             # <<<<<<<<<<<<<<
 *         if fabs(g - 1.0) > 0.00001:
 *             dS_dg = -1.0 / sqrt(g * g - 1) / p_dist
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":590
 *             # dS_dg is -1 for lim g->1
 *             dS_dg = -1.0
 *     elif sim_func == SimFuncType.LOG_DIST_SQ:             # <<<<<<<<<<<<<<
 *         if fabs(g - 1.0) > 0.00001:
 *             dS_dg = -2.0 * p_dist / sqrt(g * g - 1) / (p_dist * p_dist + 1)
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_LOG_DIST_SQ:

    /* "gensim/models/word2vec_inner.pyx":591
 *             dS_dg = -1.0
 *     elif sim_func == SimFuncType.LOG_DIST_SQ:
 *         if fabs(g - 1.0) > 0.00001:             # <<<<<<<<<<<<<<
 *             dS_dg = -2.0 * p_dist / sqrt(g * g - 1) / (p_dist * p_dist + 1)
 *         else:
 */
    __pyx_t_1 = ((fabs((__pyx_v_g - 1.0)) > 0.00001) != 0);
    if (__pyx_t_1) {

      /* "gensim/models/word2vec_inner.pyx":592
 *     elif sim_func == SimFuncType.LOG_DIST_SQ:
 *         if fabs(g - 1.0) > 0.00001:
 *             dS_dg = -2.0 * p_dist / sqrt(g * g - 1) / (p_dist * p_dist + 1)             # <<<<<<<<<<<<<<
 *         else:
 *             # dS_dg is -2 for lim g->1
 */
      __pyx_v_dS_dg = (((-2.0 * __pyx_v_p_dist) / sqrt(((__pyx_v_g * __pyx_v_g) - 1.0))) / ((__pyx_v_p_dist * __pyx_v_p_dist) + 1.0));

      /* "gensim/models/word2vec_inner.pyx":591
 *             dS_dg = -1.0
 *     elif sim_func == SimFuncType.LOG_DIST_SQ:
 *         if fabs(g - 1.0) > 0.00001:             # <<<<<<<<<<<<<<
 *             dS_dg = -2.0 * p_dist / sqrt(g * g - 1) / (p_dist * p_dist + 1)
 *         else:
 */
      goto __pyx_L14;
    }

    /* "gensim/models/word2vec_inner.pyx":595
 *         else:
 *             # dS_dg is -2 for lim g->1
 *             dS_dg = -2.0             # <<<<<<<<<<<<<<
 *     elif sim_func == SimFuncType.EXP_DIST:
 *         if fabs(g - 1.0) > 0.00001:
 */
    /*else*/ {
      __pyx_v_dS_dg = -2.0;
    }
    __pyx_L14:;

    /* "gensim/models/word2vec_inner.pyx":590
 *             # dS_dg is -1 for lim g->1
 *             dS_dg = -1.0
 *     elif sim_func == SimFuncType.LOG_DIST_SQ:             # <<<<<<<<<<<<<<
 *         if fabs(g - 1.0) > 0.00001:
 *             dS_dg = -2.0 * p_dist / sqrt(g * g - 1) / (p_dist * p_dist + 1)
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":596
 *             # dS_dg is -2 for lim g->1
 *             dS_dg = -2.0
 *     elif sim_func == SimFuncType.EXP_DIST:             # <<<<<<<<<<<<<<
 *         if fabs(g - 1.0) > 0.00001:
 *             dS_dg = -1.0 - g / sqrt(g * g - 1)
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_EXP_DIST:

    /* "gensim/models/word2vec_inner.pyx":597
 *             dS_dg = -2.0
 *     elif sim_func == SimFuncType.EXP_DIST:
 *         if fabs(g - 1.0) > 0.00001:             # <<<<<<<<<<<<<<
 *             dS_dg = -1.0 - g / sqrt(g * g - 1)
 *         else:
 */
    __pyx_t_1 = ((fabs((__pyx_v_g - 1.0)) > 0.00001) != 0);
    if (__pyx_t_1) {

      /* "gensim/models/word2vec_inner.pyx":598
 *     elif sim_func == SimFuncType.EXP_DIST:
 *         if fabs(g - 1.0) > 0.00001:
 *             dS_dg = -1.0 - g / sqrt(g * g - 1)             # <<<<<<<<<<<<<<
 *         else:
 *             # dS_dg is -1 for lim g->1
 */
      __pyx_v_dS_dg = (-1.0 - (__pyx_v_g / sqrt(((__pyx_v_g * __pyx_v_g) - 1.0))));

      /* "gensim/models/word2vec_inner.pyx":597
 *             dS_dg = -2.0
 *     elif sim_func == SimFuncType.EXP_DIST:
 *         if fabs(g - 1.0) > 0.00001:             # <<<<<<<<<<<<<<
 *             dS_dg = -1.0 - g / sqrt(g * g - 1)
 *         else:
 */
      goto __pyx_L15;
    }

    /* "gensim/models/word2vec_inner.pyx":601
 *         else:
 *             # dS_dg is -1 for lim g->1
 *             dS_dg = -1.0             # <<<<<<<<<<<<<<
 * 
 *     scale = 1
 */
    /*else*/ {
      __pyx_v_dS_dg = -1.0;
    }
    __pyx_L15:;

    /* "gensim/models/word2vec_inner.pyx":596
 *             # dS_dg is -2 for lim g->1
 *             dS_dg = -2.0
 *     elif sim_func == SimFuncType.EXP_DIST:             # <<<<<<<<<<<<<<
 *         if fabs(g - 1.0) > 0.00001:
 *             dS_dg = -1.0 - g / sqrt(g * g - 1)
 */
    break;
    default: break;
  }

  /* "gensim/models/word2vec_inner.pyx":603
 *             dS_dg = -1.0
 * 
 *     scale = 1             # <<<<<<<<<<<<<<
 *     result[0] = result[0] * scale
 *     dS_dg = dS_dg * scale
 */
  __pyx_v_scale = 1.0;

  /* "gensim/models/word2vec_inner.pyx":604
 * 
 *     scale = 1
 *     result[0] = result[0] * scale             # <<<<<<<<<<<<<<
 *     dS_dg = dS_dg * scale
 * 
 */
  (__pyx_v_result[0]) = ((__pyx_v_result[0]) * __pyx_v_scale);

  /* "gensim/models/word2vec_inner.pyx":605
 *     scale = 1
 *     result[0] = result[0] * scale
 *     dS_dg = dS_dg * scale             # <<<<<<<<<<<<<<
 * 
 *     # Compute derivative wrt v multiplied by the inverse of the conformal factor at v.
 */
  __pyx_v_dS_dg = (__pyx_v_dS_dg * __pyx_v_scale);

  /* "gensim/models/word2vec_inner.pyx":608
 * 
 *     # Compute derivative wrt v multiplied by the inverse of the conformal factor at v.
 *     factor = dS_dg * alpha_v / beta_w             # <<<<<<<<<<<<<<
 *     start = 1
 *     # result[1] = coef1 * v + coef2 * w
 */
  __pyx_v_factor = ((__pyx_v_dS_dg * __pyx_v_alpha_v) / __pyx_v_beta_w);

  /* "gensim/models/word2vec_inner.pyx":609
 *     # Compute derivative wrt v multiplied by the inverse of the conformal factor at v.
 *     factor = dS_dg * alpha_v / beta_w
 *     start = 1             # <<<<<<<<<<<<<<
 *     # result[1] = coef1 * v + coef2 * w
 *     dcopy(&size, v, &ONE, &result[start], &ONE)
 */
  __pyx_v_start = 1;

  /* "gensim/models/word2vec_inner.pyx":611
 *     start = 1
 *     # result[1] = coef1 * v + coef2 * w
 *     dcopy(&size, v, &ONE, &result[start], &ONE)             # <<<<<<<<<<<<<<
 *     coef = (1.0 + squared_dist / alpha_v) * factor
 *     dscal(&size, &coef, &result[start], &ONE)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), __pyx_v_v, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_result[__pyx_v_start])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":612
 *     # result[1] = coef1 * v + coef2 * w
 *     dcopy(&size, v, &ONE, &result[start], &ONE)
 *     coef = (1.0 + squared_dist / alpha_v) * factor             # <<<<<<<<<<<<<<
 *     dscal(&size, &coef, &result[start], &ONE)
 *     coef = -factor
 */
  __pyx_v_coef = ((1.0 + (__pyx_v_squared_dist / __pyx_v_alpha_v)) * __pyx_v_factor);

  /* "gensim/models/word2vec_inner.pyx":613
 *     dcopy(&size, v, &ONE, &result[start], &ONE)
 *     coef = (1.0 + squared_dist / alpha_v) * factor
 *     dscal(&size, &coef, &result[start], &ONE)             # <<<<<<<<<<<<<<
 *     coef = -factor
 *     daxpy(&size, &coef, w, &ONE, &result[start], &ONE)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dscal((&__pyx_v_size), (&__pyx_v_coef), (&(__pyx_v_result[__pyx_v_start])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":614
 *     coef = (1.0 + squared_dist / alpha_v) * factor
 *     dscal(&size, &coef, &result[start], &ONE)
 *     coef = -factor             # <<<<<<<<<<<<<<
 *     daxpy(&size, &coef, w, &ONE, &result[start], &ONE)
 *     clamp(&result[start], size, -GRAD_CLAMP_THRESHOLD, GRAD_CLAMP_THRESHOLD)
 */
  __pyx_v_coef = (-__pyx_v_factor);

  /* "gensim/models/word2vec_inner.pyx":615
 *     dscal(&size, &coef, &result[start], &ONE)
 *     coef = -factor
 *     daxpy(&size, &coef, w, &ONE, &result[start], &ONE)             # <<<<<<<<<<<<<<
 *     clamp(&result[start], size, -GRAD_CLAMP_THRESHOLD, GRAD_CLAMP_THRESHOLD)
 * 
 */
  __pyx_v_6gensim_6models_14word2vec_inner_daxpy((&__pyx_v_size), (&__pyx_v_coef), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_result[__pyx_v_start])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":616
 *     coef = -factor
 *     daxpy(&size, &coef, w, &ONE, &result[start], &ONE)
 *     clamp(&result[start], size, -GRAD_CLAMP_THRESHOLD, GRAD_CLAMP_THRESHOLD)             # <<<<<<<<<<<<<<
 * 
 *     # Compute derivative wrt w multiplied by the inverse of the conformal factor at w.
 */
  (void)(__pyx_f_6gensim_6models_14word2vec_inner_clamp((&(__pyx_v_result[__pyx_v_start])), __pyx_v_size, -10000.0, 10000.0));

  /* "gensim/models/word2vec_inner.pyx":619
 * 
 *     # Compute derivative wrt w multiplied by the inverse of the conformal factor at w.
 *     factor = dS_dg * beta_w / alpha_v             # <<<<<<<<<<<<<<
 *     start = 1 + size
 *     # result[1+size] = coef1 * w + coef2 * v
 */
  __pyx_v_factor = ((__pyx_v_dS_dg * __pyx_v_beta_w) / __pyx_v_alpha_v);

  /* "gensim/models/word2vec_inner.pyx":620
 *     # Compute derivative wrt w multiplied by the inverse of the conformal factor at w.
 *     factor = dS_dg * beta_w / alpha_v
 *     start = 1 + size             # <<<<<<<<<<<<<<
 *     # result[1+size] = coef1 * w + coef2 * v
 *     dcopy(&size, w, &ONE, &result[start], &ONE)
 */
  __pyx_v_start = (1 + __pyx_v_size);

  /* "gensim/models/word2vec_inner.pyx":622
 *     start = 1 + size
 *     # result[1+size] = coef1 * w + coef2 * v
 *     dcopy(&size, w, &ONE, &result[start], &ONE)             # <<<<<<<<<<<<<<
 *     coef = (1.0 + squared_dist / beta_w) * factor
 *     dscal(&size, &coef, &result[start], &ONE)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), __pyx_v_w, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_result[__pyx_v_start])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":623
 *     # result[1+size] = coef1 * w + coef2 * v
 *     dcopy(&size, w, &ONE, &result[start], &ONE)
 *     coef = (1.0 + squared_dist / beta_w) * factor             # <<<<<<<<<<<<<<
 *     dscal(&size, &coef, &result[start], &ONE)
 *     coef = -factor
 */
  __pyx_v_coef = ((1.0 + (__pyx_v_squared_dist / __pyx_v_beta_w)) * __pyx_v_factor);

  /* "gensim/models/word2vec_inner.pyx":624
 *     dcopy(&size, w, &ONE, &result[start], &ONE)
 *     coef = (1.0 + squared_dist / beta_w) * factor
 *     dscal(&size, &coef, &result[start], &ONE)             # <<<<<<<<<<<<<<
 *     coef = -factor
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 *     cdef REAL_t *bb = <REAL_t *>(np.PyArray_DATA(b))
 */

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/* "gensim/models/word2vec_inner.pyx":683
 * 
 * 
 * cdef unsigned long long fast_sentence_sg_torus(             # <<<<<<<<<<<<<<
 *         const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *         REAL_t *syn0, REAL_t *syn1neg, REAL_t *b0, REAL_t *b1, const int size, const np.uint32_t word_index,
 */

static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_torus(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_b0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_b1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_word_index, __pyx_t_5numpy_uint32_t const __pyx_v_word2_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_word_locks, int const __pyx_v__compute_loss, int const __pyx_v_with_bias, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__batch_training_loss_param, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__epoch_training_loss_param, CYTHON_UNUSED int const __pyx_v_debug) {
  PY_LONG_LONG __pyx_v_row1;
  PY_LONG_LONG __pyx_v_row2;
  unsigned PY_LONG_LONG __pyx_v_modulo;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f_sim;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_coef;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_diff[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_r1_cos[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_r0_cos[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_r0_r1_sin[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_acc_grad_r0[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_acc_grad_r1[__pyx_v_size];
  __pyx_t_5numpy_uint32_t __pyx_v_target_index;
  int __pyx_v_d;
  int __pyx_v_i;
  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;
  int __pyx_t_6;
  int __pyx_t_7;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_t_8;
  __pyx_t_5numpy_uint32_t __pyx_t_9;

  /* "gensim/models/word2vec_inner.pyx":692
 * 
 *     cdef long long a
 *     cdef long long row1 = (word2_index + 1) * size, row2             # <<<<<<<<<<<<<<
 *     cdef unsigned long long modulo = 281474976710655ULL
 *     cdef REAL_t f, g, label, f_sim, coef
 */
  __pyx_v_row1 = ((__pyx_v_word2_index + 1) * __pyx_v_size);

  /* "gensim/models/word2vec_inner.pyx":693
 *     cdef long long a
 *     cdef long long row1 = (word2_index + 1) * size, row2
 *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
 *     cdef REAL_t f, g, label, f_sim, coef
 *     cdef REAL_t diff[size], r1_cos[size], r0_cos[size], r0_r1_sin[size], acc_grad_r0[size], acc_grad_r1[size]
 */
  __pyx_v_modulo = 281474976710655ULL;

  /* "gensim/models/word2vec_inner.pyx":699
 *     cdef int d, table_idx
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 *     memset(acc_grad_r0, 0, size * cython.sizeof(REAL_t))
 *     memset(acc_grad_r1, 0, size * cython.sizeof(REAL_t))
 */
  (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":700
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 *     memset(acc_grad_r0, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 *     memset(acc_grad_r1, 0, size * cython.sizeof(REAL_t))
 *     memset(diff, 0, size * cython.sizeof(REAL_t))
 */
  (void)(memset(__pyx_v_acc_grad_r0, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":701
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 *     memset(acc_grad_r0, 0, size * cython.sizeof(REAL_t))
 *     memset(acc_grad_r1, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 *     memset(diff, 0, size * cython.sizeof(REAL_t))
 * 
 */
  (void)(memset(__pyx_v_acc_grad_r1, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":702
 *     memset(acc_grad_r0, 0, size * cython.sizeof(REAL_t))
 *     memset(acc_grad_r1, 0, size * cython.sizeof(REAL_t))
 *     memset(diff, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 * 
 *     for d in range(negative+1):
 */
  (void)(memset(__pyx_v_diff, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":704
 *     memset(diff, 0, size * cython.sizeof(REAL_t))
 * 
 *     for d in range(negative+1):             # <<<<<<<<<<<<<<
 *         if d == 0:
 *             target_index = word_index
 */
  __pyx_t_1 = (__pyx_v_negative + 1);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_d = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":705
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *             label = ONEF
 */
    __pyx_t_4 = ((__pyx_v_d == 0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":706
 *     for d in range(negative+1):
 *         if d == 0:
 *             target_index = word_index             # <<<<<<<<<<<<<<
 *             label = ONEF
 *         else:
 */
      __pyx_v_target_index = __pyx_v_word_index;

      /* "gensim/models/word2vec_inner.pyx":707
 *         if d == 0:
 *             target_index = word_index
 *             label = ONEF             # <<<<<<<<<<<<<<
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 */
      __pyx_v_label = __pyx_v_6gensim_6models_14word2vec_inner_ONEF;

      /* "gensim/models/word2vec_inner.pyx":705
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *             label = ONEF
 */
      goto __pyx_L5;
    }

    /* "gensim/models/word2vec_inner.pyx":709
 *             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/word2vec_inner.pyx":710
 *         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/word2vec_inner.pyx":711
 *             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/word2vec_inner.pyx":712
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == word_index:
 *                 continue             # <<<<<<<<<<<<<<
 *             label = <REAL_t>0.0
 * 
 */
        goto __pyx_L3_continue;

        /* "gensim/models/word2vec_inner.pyx":711
 *             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/word2vec_inner.pyx":713
 *             if target_index == word_index:
 *                 continue
 *             label = <REAL_t>0.0             # <<<<<<<<<<<<<<
 * 
 *         row2 = (target_index + 1) * size
 */
      __pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
    }
    __pyx_L5:;

    /* "gensim/models/word2vec_inner.pyx":715
 *             label = <REAL_t>0.0
 * 
 *         row2 = (target_index + 1) * size             # <<<<<<<<<<<<<<
 * 
 *         # diff = theta_word - theta_word2
 */
    __pyx_v_row2 = ((__pyx_v_target_index + 1) * __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":718
 * 
 *         # diff = theta_word - theta_word2
 *         scopy(&size, &syn1neg[row2], &ONE, diff, &ONE)             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &MINUS_ONEF, &syn0[row1], &ONE, diff, &ONE)
 * 
 */
    __pyx_v_6gensim_6models_14word2vec_inner_scopy((&__pyx_v_size), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_diff, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":719
 *         # diff = theta_word - theta_word2
 *         scopy(&size, &syn1neg[row2], &ONE, diff, &ONE)
 *         our_saxpy(&size, &MINUS_ONEF, &syn0[row1], &ONE, diff, &ONE)             # <<<<<<<<<<<<<<
 * 
 *         # TODO: this is extremely slow. Need to change this
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_6gensim_6models_14word2vec_inner_MINUS_ONEF), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_diff, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":722
 * 
 *         # TODO: this is extremely slow. Need to change this
 *         for i in range(size):             # <<<<<<<<<<<<<<
 *             # coef = fmod(diff[i], PI)
 *             # table_idx = <int>((coef + MAX_COS) * (COS_TABLE_SIZE / MAX_COS / 2))
 */
    __pyx_t_5 = __pyx_v_size;
    __pyx_t_6 = __pyx_t_5;
    for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_6; __pyx_t_7+=1) {
      __pyx_v_i = __pyx_t_7;

      /* "gensim/models/word2vec_inner.pyx":730
 * 
 *             # r0_cos = r0 .* diff (where .* = Hadamard product).
 *             r0_cos[i] = syn0[i] * cos(diff[i])             # <<<<<<<<<<<<<<
 *             # r1_dot_cos = r1 .* cos(diff) (where .* = Hadamard product).
 *             r1_cos[i] = syn1neg[i] * cos(diff[i])
 */
      (__pyx_v_r0_cos[__pyx_v_i]) = ((__pyx_v_syn0[__pyx_v_i]) * cos((__pyx_v_diff[__pyx_v_i])));

      /* "gensim/models/word2vec_inner.pyx":732
 *             r0_cos[i] = syn0[i] * cos(diff[i])
 *             # r1_dot_cos = r1 .* cos(diff) (where .* = Hadamard product).
 *             r1_cos[i] = syn1neg[i] * cos(diff[i])             # <<<<<<<<<<<<<<
 *             # r0_r1_sin = r0 .* r1 .* sin(diff) (where .* = Hadamard product).
 *             r0_r1_sin[i] = syn0[i] * syn1neg[i] * sin(diff[i])
 */
      (__pyx_v_r1_cos[__pyx_v_i]) = ((__pyx_v_syn1neg[__pyx_v_i]) * cos((__pyx_v_diff[__pyx_v_i])));

      /* "gensim/models/word2vec_inner.pyx":734
 *             r1_cos[i] = syn1neg[i] * cos(diff[i])
 *             # r0_r1_sin = r0 .* r1 .* sin(diff) (where .* = Hadamard product).
 *             r0_r1_sin[i] = syn0[i] * syn1neg[i] * sin(diff[i])             # <<<<<<<<<<<<<<
 * 
 *         # Similarity is dot product on torus.
 */
      (__pyx_v_r0_r1_sin[__pyx_v_i]) = (((__pyx_v_syn0[__pyx_v_i]) * (__pyx_v_syn1neg[__pyx_v_i])) * sin((__pyx_v_diff[__pyx_v_i])));
    }

    /* "gensim/models/word2vec_inner.pyx":737
 * 
 *         # Similarity is dot product on torus.
 *         f_sim = our_dot(&size, r1_cos, &ONE, &syn0[0], &ONE)             # <<<<<<<<<<<<<<
 * 
 *         if with_bias:
 */
    __pyx_v_f_sim = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_r1_cos, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn0[0])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":739
 *         f_sim = our_dot(&size, r1_cos, &ONE, &syn0[0], &ONE)
 * 
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 */
    __pyx_t_4 = (__pyx_v_with_bias != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":740
 * 
 *         if with_bias:
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]             # <<<<<<<<<<<<<<
 * 
 *         if f_sim >= MAX_EXP:
 */
      __pyx_v_f_sim = ((__pyx_v_f_sim + (__pyx_v_b0[__pyx_v_word2_index])) + (__pyx_v_b1[__pyx_v_target_index]));

      /* "gensim/models/word2vec_inner.pyx":739
 *         f_sim = our_dot(&size, r1_cos, &ONE, &syn0[0], &ONE)
 * 
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 */
    }

    /* "gensim/models/word2vec_inner.pyx":742
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 *         if f_sim >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:
 */
    __pyx_t_4 = ((__pyx_v_f_sim >= 6.0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":743
 * 
 *         if f_sim >= MAX_EXP:
 *             f = 1.0             # <<<<<<<<<<<<<<
 *         elif f_sim <= -MAX_EXP:
 *             f = 0.0
 */
      __pyx_v_f = 1.0;

      /* "gensim/models/word2vec_inner.pyx":742
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 *         if f_sim >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:
 */
      goto __pyx_L10;
    }

    /* "gensim/models/word2vec_inner.pyx":744
 *         if f_sim >= MAX_EXP:
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 0.0
 *         else:
 */
    __pyx_t_4 = ((__pyx_v_f_sim <= -6.0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":745
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:
 *             f = 0.0             # <<<<<<<<<<<<<<
 *         else:
 *             f = EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
      __pyx_v_f = 0.0;

      /* "gensim/models/word2vec_inner.pyx":744
 *         if f_sim >= MAX_EXP:
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 0.0
 *         else:
 */
      goto __pyx_L10;
    }

    /* "gensim/models/word2vec_inner.pyx":747
 *             f = 0.0
 *         else:
 *             f = EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *         g = (label - f) * alpha
 * 
 */
    /*else*/ {
      __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f_sim + 6.0) * 83.0))]);
    }
    __pyx_L10:;

    /* "gensim/models/word2vec_inner.pyx":748
 *         else:
 *             f = EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha             # <<<<<<<<<<<<<<
 * 
 *         if _compute_loss == 1:
 */
    __pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);

    /* "gensim/models/word2vec_inner.pyx":750
 *         g = (label - f) * alpha
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             f_sim = (f_sim if d == 0 else -f_sim)
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 */
    __pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":751
 * 
 *         if _compute_loss == 1:
 *             f_sim = (f_sim if d == 0 else -f_sim)             # <<<<<<<<<<<<<<
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 * 
 */
      if (((__pyx_v_d == 0) != 0)) {
        __pyx_t_8 = __pyx_v_f_sim;
      } else {
        __pyx_t_8 = (-__pyx_v_f_sim);
      }
      __pyx_v_f_sim = __pyx_t_8;

      /* "gensim/models/word2vec_inner.pyx":752
 *         if _compute_loss == 1:
 *             f_sim = (f_sim if d == 0 else -f_sim)
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)             # <<<<<<<<<<<<<<
 * 
 *         # Accumulate value by which we will update the input theta for word2.
 */
      __pyx_f_6gensim_6models_14word2vec_inner_compute_sgns_loss(__pyx_v_f_sim, __pyx_v__batch_training_loss_param, __pyx_v__epoch_training_loss_param);

      /* "gensim/models/word2vec_inner.pyx":750
 *         g = (label - f) * alpha
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             f_sim = (f_sim if d == 0 else -f_sim)
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 */
    }

    /* "gensim/models/word2vec_inner.pyx":756
 *         # Accumulate value by which we will update the input theta for word2.
 *         # Multiply g by dS/dtheta_w2 i.e. r0_r1_sin.
 *         our_saxpy(&size, &g, r0_r1_sin, &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *         # Accumulate value by which we will update r0 (input embedding).
 *         # Multiply g by dS/dr0 i.e. r1_cos.
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_r0_r1_sin, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":759
 *         # Accumulate value by which we will update r0 (input embedding).
 *         # Multiply g by dS/dr0 i.e. r1_cos.
 *         our_saxpy(&size, &g, r1_cos, &ONE, acc_grad_r0, &ONE)             # <<<<<<<<<<<<<<
 *         # Accumulate value by which we will update r1 (output embedding).
 *         # Multiply g by dS/dr1 i.e. r0_cos.
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_r1_cos, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_acc_grad_r0, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":762
 *         # Accumulate value by which we will update r1 (output embedding).
 *         # Multiply g by dS/dr1 i.e. r0_cos.
 *         our_saxpy(&size, &g, r0_cos, &ONE, acc_grad_r1, &ONE)             # <<<<<<<<<<<<<<
 * 
 *         # Update output theta (for either word or one of the negative samples).
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_r0_cos, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_acc_grad_r1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":766
 *         # Update output theta (for either word or one of the negative samples).
 *         # Multiply g by dS/dtheta_w or dS/dtheta_w_j i.e. -r0_r1_sin.
 *         coef = -g             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &coef, r0_r1_sin, &ONE, &syn1neg[row2], &ONE)
 *         # Update biases.
 */
    __pyx_v_coef = (-__pyx_v_g);

    /* "gensim/models/word2vec_inner.pyx":767
 *         # Multiply g by dS/dtheta_w or dS/dtheta_w_j i.e. -r0_r1_sin.
 *         coef = -g
 *         our_saxpy(&size, &coef, r0_r1_sin, &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
 *         # Update biases.
 *         if with_bias:
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_coef), __pyx_v_r0_r1_sin, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":769
 *         our_saxpy(&size, &coef, r0_r1_sin, &ONE, &syn1neg[row2], &ONE)
 *         # Update biases.
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             b0[word2_index] += g
 *             b1[target_index] += g
 */
    __pyx_t_4 = (__pyx_v_with_bias != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":770
 *         # Update biases.
 *         if with_bias:
 *             b0[word2_index] += g             # <<<<<<<<<<<<<<
 *             b1[target_index] += g
 * 
 */
      __pyx_t_9 = __pyx_v_word2_index;
      (__pyx_v_b0[__pyx_t_9]) = ((__pyx_v_b0[__pyx_t_9]) + __pyx_v_g);

      /* "gensim/models/word2vec_inner.pyx":771
 *         if with_bias:
 *             b0[word2_index] += g
 *             b1[target_index] += g             # <<<<<<<<<<<<<<
 * 
 *     # Update input theta for word2.
 */
      __pyx_t_9 = __pyx_v_target_index;
      (__pyx_v_b1[__pyx_t_9]) = ((__pyx_v_b1[__pyx_t_9]) + __pyx_v_g);

      /* "gensim/models/word2vec_inner.pyx":769
 *         our_saxpy(&size, &coef, r0_r1_sin, &ONE, &syn1neg[row2], &ONE)
 *         # Update biases.
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             b0[word2_index] += g
 *             b1[target_index] += g
 */
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":774
 * 
 *     # Update input theta for word2.
 *     our_saxpy(&size, &word_locks[word2_index], work, &ONE, &syn0[row1], &ONE)             # <<<<<<<<<<<<<<
 *     # Update the input radii r0.
 *     update_torus_radius(&syn0[0], g, acc_grad_r0, size)
 */
  __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_word_locks[__pyx_v_word2_index])), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":776
 *     our_saxpy(&size, &word_locks[word2_index], work, &ONE, &syn0[row1], &ONE)
 *     # Update the input radii r0.
 *     update_torus_radius(&syn0[0], g, acc_grad_r0, size)             # <<<<<<<<<<<<<<
 *     # Update the output radii r1.
 *     update_torus_radius(&syn1neg[0], g, acc_grad_r1, size)
 */
  __pyx_f_6gensim_6models_14word2vec_inner_update_torus_radius((&(__pyx_v_syn0[0])), __pyx_v_g, __pyx_v_acc_grad_r0, __pyx_v_size);

  /* "gensim/models/word2vec_inner.pyx":778
 *     update_torus_radius(&syn0[0], g, acc_grad_r0, size)
 *     # Update the output radii r1.
 *     update_torus_radius(&syn1neg[0], g, acc_grad_r1, size)             # <<<<<<<<<<<<<<
 * 
 *     return next_random
 */
  __pyx_f_6gensim_6models_14word2vec_inner_update_torus_radius((&(__pyx_v_syn1neg[0])), __pyx_v_g, __pyx_v_acc_grad_r1, __pyx_v_size);

  /* "gensim/models/word2vec_inner.pyx":780
 *     update_torus_radius(&syn1neg[0], g, acc_grad_r1, size)
 * 
 *     return next_random             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_next_random;
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":683
 * 
 * 
 * cdef unsigned long long fast_sentence_sg_torus(             # <<<<<<<<<<<<<<
 *         const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *         REAL_t *syn0, REAL_t *syn1neg, REAL_t *b0, REAL_t *b1, const int size, const np.uint32_t word_index,
 */

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

/* "gensim/models/word2vec_inner.pyx":783
 * 
 * 
 * cdef unsigned long long fast_sentence_nll_poincare(             # <<<<<<<<<<<<<<
 *         const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *         DOUBLE_t *syn0, DOUBLE_t *syn1neg, DOUBLE_t *b0, DOUBLE_t *b1, DOUBLE_t *Gsyn0, DOUBLE_t *Gsyn1neg,
 */

static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_nll_poincare(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_DOUBLE_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_syn1neg, CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_b0, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_b1, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_Gsyn0, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_Gsyn1neg, CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_Gb0, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_Gb1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_word_index, __pyx_t_5numpy_uint32_t const __pyx_v_word2_index, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const __pyx_v_l2reg_coef, enum __pyx_t_6gensim_6models_14word2vec_inner_OptType const __pyx_v_optimizer, enum __pyx_t_6gensim_6models_14word2vec_inner_SimFuncType const __pyx_v_sim_func, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const __pyx_v_cosh_dist_pow, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_work, unsigned PY_LONG_LONG __pyx_v_next_random, CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_word_locks, __pyx_t_5numpy_uint32_t const *__pyx_v_index2freq, int const __pyx_v__compute_loss, int const __pyx_v_with_bias, int *__pyx_v_num_projections, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v__batch_training_loss_param, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v__epoch_training_loss_param) {
  PY_LONG_LONG __pyx_v_row1;
  PY_LONG_LONG __pyx_v_row2[(1 + __pyx_v_negative)];
  unsigned PY_LONG_LONG __pyx_v_modulo;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_gamma;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_gamma_coef;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_coef;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_acc_regularizer_loss;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_emb_sq_norm;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_word2_dot;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_syn0_copy[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_syn1neg_copies[(__pyx_v_size * (1 + __pyx_v_negative))];
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_exp_sims_and_grads[((1 + (2 * __pyx_v_size)) * (1 + __pyx_v_negative))];
  __pyx_t_5numpy_uint32_t __pyx_v_target_index;
  int __pyx_v_d;
  int __pyx_v_start;
  int __pyx_v_increment;
  int __pyx_v_idx;
  int __pyx_v_syn1neg_idx;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_adaptive_lr;
  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;
  PY_LONG_LONG __pyx_t_6;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_t_7;
  int __pyx_t_8;

  /* "gensim/models/word2vec_inner.pyx":793
 * 
 *     cdef long long a
 *     cdef long long row1 = word2_index * size             # <<<<<<<<<<<<<<
 *     cdef long long row2[1+negative]
 *     cdef unsigned long long modulo = 281474976710655ULL
 */
  __pyx_v_row1 = (__pyx_v_word2_index * __pyx_v_size);

  /* "gensim/models/word2vec_inner.pyx":795
 *     cdef long long row1 = word2_index * size
 *     cdef long long row2[1+negative]
 *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t gamma = 0, gamma_coef, coef, acc_regularizer_loss = 0.0, emb_sq_norm, word2_dot = 0.0
 *     cdef DOUBLE_t syn0_copy[size], syn1neg_copies[size*(1+negative)], exp_sims_and_grads[(1 + 2 * size) * (1 + negative)]
 */
  __pyx_v_modulo = 281474976710655ULL;

  /* "gensim/models/word2vec_inner.pyx":796
 *     cdef long long row2[1+negative]
 *     cdef unsigned long long modulo = 281474976710655ULL
 *     cdef DOUBLE_t gamma = 0, gamma_coef, coef, acc_regularizer_loss = 0.0, emb_sq_norm, word2_dot = 0.0             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t syn0_copy[size], syn1neg_copies[size*(1+negative)], exp_sims_and_grads[(1 + 2 * size) * (1 + negative)]
 *     cdef np.uint32_t target_index
 */
  __pyx_v_gamma = 0.0;
  __pyx_v_acc_regularizer_loss = 0.0;
  __pyx_v_word2_dot = 0.0;

  /* "gensim/models/word2vec_inner.pyx":799
 *     cdef DOUBLE_t syn0_copy[size], syn1neg_copies[size*(1+negative)], exp_sims_and_grads[(1 + 2 * size) * (1 + negative)]
 *     cdef np.uint32_t target_index
 *     cdef int d, start, increment = 1+2*size, idx, syn1neg_idx             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t adaptive_lr
 * 
 */
  __pyx_v_increment = (1 + (2 * __pyx_v_size));

  /* "gensim/models/word2vec_inner.pyx":802
 *     cdef DOUBLE_t adaptive_lr
 * 
 *     memset(work, 0, size * cython.sizeof(DOUBLE_t))             # <<<<<<<<<<<<<<
 *     dcopy(&size, &syn0[row1], &ONE, syn0_copy, &ONE)
 * 
 */
  (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t)))));

  /* "gensim/models/word2vec_inner.pyx":803
 * 
 *     memset(work, 0, size * cython.sizeof(DOUBLE_t))
 *     dcopy(&size, &syn0[row1], &ONE, syn0_copy, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     for d in range(negative+1):
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_syn0_copy, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":805
 *     dcopy(&size, &syn0[row1], &ONE, syn0_copy, &ONE)
 * 
 *     for d in range(negative+1):             # <<<<<<<<<<<<<<
 *         if d == 0:
 *             target_index = word_index
 */
  __pyx_t_1 = (__pyx_v_negative + 1);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_d = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":806
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *         else:
 */
    __pyx_t_4 = ((__pyx_v_d == 0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":807
 *     for d in range(negative+1):
 *         if d == 0:
 *             target_index = word_index             # <<<<<<<<<<<<<<
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 */
      __pyx_v_target_index = __pyx_v_word_index;

      /* "gensim/models/word2vec_inner.pyx":806
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *         else:
 */
      goto __pyx_L5;
    }

    /* "gensim/models/word2vec_inner.pyx":809
 *             target_index = word_index
 *         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/word2vec_inner.pyx":810
 *         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:
 *                 row2[d] = -1
 */
      __pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);

      /* "gensim/models/word2vec_inner.pyx":811
 *             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:             # <<<<<<<<<<<<<<
 *                 row2[d] = -1
 *                 continue
 */
      __pyx_t_4 = ((__pyx_v_target_index == __pyx_v_word_index) != 0);
      if (__pyx_t_4) {

        /* "gensim/models/word2vec_inner.pyx":812
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == word_index:
 *                 row2[d] = -1             # <<<<<<<<<<<<<<
 *                 continue
 * 
 */
        (__pyx_v_row2[__pyx_v_d]) = -1LL;

        /* "gensim/models/word2vec_inner.pyx":813
 *             if target_index == word_index:
 *                 row2[d] = -1
 *                 continue             # <<<<<<<<<<<<<<
 * 
 *         row2[d] = target_index * size
 */
        goto __pyx_L3_continue;

        /* "gensim/models/word2vec_inner.pyx":811
 *             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:             # <<<<<<<<<<<<<<
 *                 row2[d] = -1
 *                 continue
 */
      }
    }
    __pyx_L5:;

    /* "gensim/models/word2vec_inner.pyx":815
 *                 continue
 * 
 *         row2[d] = target_index * size             # <<<<<<<<<<<<<<
 *         syn1neg_idx = size * d
 * 
 */
    (__pyx_v_row2[__pyx_v_d]) = (__pyx_v_target_index * __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":816
 * 
 *         row2[d] = target_index * size
 *         syn1neg_idx = size * d             # <<<<<<<<<<<<<<
 * 
 *         # Compute Poincare distance between vectors. First argument is word2, the second one is word/word_j.
 */
    __pyx_v_syn1neg_idx = (__pyx_v_size * __pyx_v_d);

    /* "gensim/models/word2vec_inner.pyx":819
 * 
 *         # Compute Poincare distance between vectors. First argument is word2, the second one is word/word_j.
 *         dcopy(&size, &syn1neg[row2[d]], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)             # <<<<<<<<<<<<<<
 *         start = increment * d
 *         poincare_similarity(&exp_sims_and_grads[start], syn0_copy, &syn1neg_copies[syn1neg_idx], size, sim_func,
 */
    __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), (&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1neg_copies[__pyx_v_syn1neg_idx])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":820
 *         # Compute Poincare distance between vectors. First argument is word2, the second one is word/word_j.
 *         dcopy(&size, &syn1neg[row2[d]], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)
 *         start = increment * d             # <<<<<<<<<<<<<<
 *         poincare_similarity(&exp_sims_and_grads[start], syn0_copy, &syn1neg_copies[syn1neg_idx], size, sim_func,
 *                             cosh_dist_pow, num_projections)
 */
    __pyx_v_start = (__pyx_v_increment * __pyx_v_d);

    /* "gensim/models/word2vec_inner.pyx":821
 *         dcopy(&size, &syn1neg[row2[d]], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)
 *         start = increment * d
 *         poincare_similarity(&exp_sims_and_grads[start], syn0_copy, &syn1neg_copies[syn1neg_idx], size, sim_func,             # <<<<<<<<<<<<<<
 *                             cosh_dist_pow, num_projections)
 *         if with_bias:
 */
    __pyx_f_6gensim_6models_14word2vec_inner_poincare_similarity((&(__pyx_v_exp_sims_and_grads[__pyx_v_start])), __pyx_v_syn0_copy, (&(__pyx_v_syn1neg_copies[__pyx_v_syn1neg_idx])), __pyx_v_size, __pyx_v_sim_func, __pyx_v_cosh_dist_pow, __pyx_v_num_projections);

    /* "gensim/models/word2vec_inner.pyx":823
 *         poincare_similarity(&exp_sims_and_grads[start], syn0_copy, &syn1neg_copies[syn1neg_idx], size, sim_func,
 *                             cosh_dist_pow, num_projections)
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             exp_sims_and_grads[start] = exp(exp_sims_and_grads[start] + b1[target_index])
 *         else:
 */
    __pyx_t_4 = (__pyx_v_with_bias != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":824
 *                             cosh_dist_pow, num_projections)
 *         if with_bias:
 *             exp_sims_and_grads[start] = exp(exp_sims_and_grads[start] + b1[target_index])             # <<<<<<<<<<<<<<
 *         else:
 *             exp_sims_and_grads[start] = exp(exp_sims_and_grads[start])
 */
      (__pyx_v_exp_sims_and_grads[__pyx_v_start]) = exp(((__pyx_v_exp_sims_and_grads[__pyx_v_start]) + (__pyx_v_b1[__pyx_v_target_index])));

      /* "gensim/models/word2vec_inner.pyx":823
 *         poincare_similarity(&exp_sims_and_grads[start], syn0_copy, &syn1neg_copies[syn1neg_idx], size, sim_func,
 *                             cosh_dist_pow, num_projections)
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             exp_sims_and_grads[start] = exp(exp_sims_and_grads[start] + b1[target_index])
 *         else:
 */
      goto __pyx_L7;
    }

    /* "gensim/models/word2vec_inner.pyx":826
 *             exp_sims_and_grads[start] = exp(exp_sims_and_grads[start] + b1[target_index])
 *         else:
 *             exp_sims_and_grads[start] = exp(exp_sims_and_grads[start])             # <<<<<<<<<<<<<<
 *         gamma += exp_sims_and_grads[start]
 * 
 */
    /*else*/ {
      (__pyx_v_exp_sims_and_grads[__pyx_v_start]) = exp((__pyx_v_exp_sims_and_grads[__pyx_v_start]));
    }
    __pyx_L7:;

    /* "gensim/models/word2vec_inner.pyx":827
 *         else:
 *             exp_sims_and_grads[start] = exp(exp_sims_and_grads[start])
 *         gamma += exp_sims_and_grads[start]             # <<<<<<<<<<<<<<
 * 
 *         daxpy(&size, &exp_sims_and_grads[start], &exp_sims_and_grads[start + 1], &ONE, work, &ONE)
 */
    __pyx_v_gamma = (__pyx_v_gamma + (__pyx_v_exp_sims_and_grads[__pyx_v_start]));

    /* "gensim/models/word2vec_inner.pyx":829
 *         gamma += exp_sims_and_grads[start]
 * 
 *         daxpy(&size, &exp_sims_and_grads[start], &exp_sims_and_grads[start + 1], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 * 
 *         if _compute_loss and target_index < REG_WORD_INDEX_THRESHOLD:
 */
    __pyx_v_6gensim_6models_14word2vec_inner_daxpy((&__pyx_v_size), (&(__pyx_v_exp_sims_and_grads[__pyx_v_start])), (&(__pyx_v_exp_sims_and_grads[(__pyx_v_start + 1)])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":831
 *         daxpy(&size, &exp_sims_and_grads[start], &exp_sims_and_grads[start + 1], &ONE, work, &ONE)
 * 
 *         if _compute_loss and target_index < REG_WORD_INDEX_THRESHOLD:             # <<<<<<<<<<<<<<
 *             emb_sq_norm = ddot(&size, &syn1neg_copies[syn1neg_idx], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)
 *             acc_regularizer_loss += l2reg_coef * emb_sq_norm
 */
    __pyx_t_5 = (__pyx_v__compute_loss != 0);
    if (__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L9_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_target_index < 0x2E45D) != 0);
    __pyx_t_4 = __pyx_t_5;
    __pyx_L9_bool_binop_done:;
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":832
 * 
 *         if _compute_loss and target_index < REG_WORD_INDEX_THRESHOLD:
 *             emb_sq_norm = ddot(&size, &syn1neg_copies[syn1neg_idx], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)             # <<<<<<<<<<<<<<
 *             acc_regularizer_loss += l2reg_coef * emb_sq_norm
 * 
 */
      __pyx_v_emb_sq_norm = __pyx_v_6gensim_6models_14word2vec_inner_ddot((&__pyx_v_size), (&(__pyx_v_syn1neg_copies[__pyx_v_syn1neg_idx])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1neg_copies[__pyx_v_syn1neg_idx])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

      /* "gensim/models/word2vec_inner.pyx":833
 *         if _compute_loss and target_index < REG_WORD_INDEX_THRESHOLD:
 *             emb_sq_norm = ddot(&size, &syn1neg_copies[syn1neg_idx], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)
 *             acc_regularizer_loss += l2reg_coef * emb_sq_norm             # <<<<<<<<<<<<<<
 * 
 *             # IMPORTANT!!! syn1neg_copies[syn1neg_idx] will now store -2*lambda*output_emb*1/conformal_factor, instead of output_emb !!!!!!!!!!!!!!!!!!!
 */
      __pyx_v_acc_regularizer_loss = (__pyx_v_acc_regularizer_loss + (__pyx_v_l2reg_coef * __pyx_v_emb_sq_norm));

      /* "gensim/models/word2vec_inner.pyx":838
 *             # Multiply by -1 because when performing the update we do gradient ascent, so we need to have negative sign here
 *             # for a penalty. Also multiply by inverse of the conformal factor at w2.
 *             coef = -2 * l2reg_coef * (1 - emb_sq_norm) * (1 - emb_sq_norm) / 4             # <<<<<<<<<<<<<<
 *             dscal(&size, &coef, &syn1neg_copies[syn1neg_idx], &ONE)
 * 
 */
      __pyx_v_coef = ((((-2.0 * __pyx_v_l2reg_coef) * (1.0 - __pyx_v_emb_sq_norm)) * (1.0 - __pyx_v_emb_sq_norm)) / 4.0);

      /* "gensim/models/word2vec_inner.pyx":839
 *             # for a penalty. Also multiply by inverse of the conformal factor at w2.
 *             coef = -2 * l2reg_coef * (1 - emb_sq_norm) * (1 - emb_sq_norm) / 4
 *             dscal(&size, &coef, &syn1neg_copies[syn1neg_idx], &ONE)             # <<<<<<<<<<<<<<
 * 
 *     gamma_coef = - 1.0 / gamma
 */
      __pyx_v_6gensim_6models_14word2vec_inner_dscal((&__pyx_v_size), (&__pyx_v_coef), (&(__pyx_v_syn1neg_copies[__pyx_v_syn1neg_idx])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

      /* "gensim/models/word2vec_inner.pyx":831
 *         daxpy(&size, &exp_sims_and_grads[start], &exp_sims_and_grads[start + 1], &ONE, work, &ONE)
 * 
 *         if _compute_loss and target_index < REG_WORD_INDEX_THRESHOLD:             # <<<<<<<<<<<<<<
 *             emb_sq_norm = ddot(&size, &syn1neg_copies[syn1neg_idx], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)
 *             acc_regularizer_loss += l2reg_coef * emb_sq_norm
 */
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":841
 *             dscal(&size, &coef, &syn1neg_copies[syn1neg_idx], &ONE)
 * 
 *     gamma_coef = - 1.0 / gamma             # <<<<<<<<<<<<<<
 *     # Gradient wrt w2. NOTE: exp_sims_and_grads[1] is modified here and should not be used past this point!!
 *     daxpy(&size, &gamma_coef, work, &ONE, &exp_sims_and_grads[1], &ONE)
 */
  __pyx_v_gamma_coef = (-1.0 / __pyx_v_gamma);

  /* "gensim/models/word2vec_inner.pyx":843
 *     gamma_coef = - 1.0 / gamma
 *     # Gradient wrt w2. NOTE: exp_sims_and_grads[1] is modified here and should not be used past this point!!
 *     daxpy(&size, &gamma_coef, work, &ONE, &exp_sims_and_grads[1], &ONE)             # <<<<<<<<<<<<<<
 *     # TODO: uncomment the following lines to add L2 regularization for the norms of the target embeddings too.
 *     # if l2reg_coef and word2_index < REG_WORD_INDEX_THRESHOLD:
 */
  __pyx_v_6gensim_6models_14word2vec_inner_daxpy((&__pyx_v_size), (&__pyx_v_gamma_coef), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_exp_sims_and_grads[1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":853
 *     #     daxpy(&size, &coef, syn0_copy, &ONE, &exp_sims_and_grads[1], &ONE)
 *     # Update input embedding of word2.
 *     if optimizer == OptType.RSGD:             # <<<<<<<<<<<<<<
 *         update_poincare_embedding(&syn0[row1], alpha, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.WeightedRSGD:
 */
  switch (__pyx_v_optimizer) {
    case __pyx_e_6gensim_6models_14word2vec_inner_RSGD:

    /* "gensim/models/word2vec_inner.pyx":854
 *     # Update input embedding of word2.
 *     if optimizer == OptType.RSGD:
 *         update_poincare_embedding(&syn0[row1], alpha, &exp_sims_and_grads[1], size)             # <<<<<<<<<<<<<<
 *     elif optimizer == OptType.WeightedRSGD:
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 */
    __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding((&(__pyx_v_syn0[__pyx_v_row1])), __pyx_v_alpha, (&(__pyx_v_exp_sims_and_grads[1])), __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":853
 *     #     daxpy(&size, &coef, syn0_copy, &ONE, &exp_sims_and_grads[1], &ONE)
 *     # Update input embedding of word2.
 *     if optimizer == OptType.RSGD:             # <<<<<<<<<<<<<<
 *         update_poincare_embedding(&syn0[row1], alpha, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.WeightedRSGD:
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":855
 *     if optimizer == OptType.RSGD:
 *         update_poincare_embedding(&syn0[row1], alpha, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.WeightedRSGD:             # <<<<<<<<<<<<<<
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_poincare_embedding(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_WeightedRSGD:

    /* "gensim/models/word2vec_inner.pyx":856
 *         update_poincare_embedding(&syn0[row1], alpha, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.WeightedRSGD:
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)             # <<<<<<<<<<<<<<
 *         update_poincare_embedding(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.FullRSGD:
 */
    __pyx_v_adaptive_lr = (__pyx_v_alpha / sqrt(((__pyx_v_index2freq[__pyx_v_word2_index]) / 100.0)));

    /* "gensim/models/word2vec_inner.pyx":857
 *     elif optimizer == OptType.WeightedRSGD:
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_poincare_embedding(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)             # <<<<<<<<<<<<<<
 *     elif optimizer == OptType.FullRSGD:
 *         update_poincare_embedding_full_rsgd(&syn0[row1], alpha, &exp_sims_and_grads[1], size)
 */
    __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding((&(__pyx_v_syn0[__pyx_v_row1])), __pyx_v_adaptive_lr, (&(__pyx_v_exp_sims_and_grads[1])), __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":855
 *     if optimizer == OptType.RSGD:
 *         update_poincare_embedding(&syn0[row1], alpha, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.WeightedRSGD:             # <<<<<<<<<<<<<<
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_poincare_embedding(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":858
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_poincare_embedding(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.FullRSGD:             # <<<<<<<<<<<<<<
 *         update_poincare_embedding_full_rsgd(&syn0[row1], alpha, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.WeightedFullRSGD:
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_FullRSGD:

    /* "gensim/models/word2vec_inner.pyx":859
 *         update_poincare_embedding(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.FullRSGD:
 *         update_poincare_embedding_full_rsgd(&syn0[row1], alpha, &exp_sims_and_grads[1], size)             # <<<<<<<<<<<<<<
 *     elif optimizer == OptType.WeightedFullRSGD:
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 */
    __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_full_rsgd((&(__pyx_v_syn0[__pyx_v_row1])), __pyx_v_alpha, (&(__pyx_v_exp_sims_and_grads[1])), __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":858
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_poincare_embedding(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.FullRSGD:             # <<<<<<<<<<<<<<
 *         update_poincare_embedding_full_rsgd(&syn0[row1], alpha, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.WeightedFullRSGD:
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":860
 *     elif optimizer == OptType.FullRSGD:
 *         update_poincare_embedding_full_rsgd(&syn0[row1], alpha, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_poincare_embedding_full_rsgd(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_WeightedFullRSGD:

    /* "gensim/models/word2vec_inner.pyx":861
 *         update_poincare_embedding_full_rsgd(&syn0[row1], alpha, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.WeightedFullRSGD:
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)             # <<<<<<<<<<<<<<
 *         update_poincare_embedding_full_rsgd(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.RMSprop:
 */
    __pyx_v_adaptive_lr = (__pyx_v_alpha / sqrt(((__pyx_v_index2freq[__pyx_v_word2_index]) / 100.0)));

    /* "gensim/models/word2vec_inner.pyx":862
 *     elif optimizer == OptType.WeightedFullRSGD:
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_poincare_embedding_full_rsgd(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)             # <<<<<<<<<<<<<<
 *     elif optimizer == OptType.RMSprop:
 *         update_poincare_embedding_rmsprop(&syn0[row1], alpha, &exp_sims_and_grads[1], &Gsyn0[row1], size)
 */
    __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_full_rsgd((&(__pyx_v_syn0[__pyx_v_row1])), __pyx_v_adaptive_lr, (&(__pyx_v_exp_sims_and_grads[1])), __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":860
 *     elif optimizer == OptType.FullRSGD:
 *         update_poincare_embedding_full_rsgd(&syn0[row1], alpha, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_poincare_embedding_full_rsgd(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":863
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_poincare_embedding_full_rsgd(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *         update_poincare_embedding_rmsprop(&syn0[row1], alpha, &exp_sims_and_grads[1], &Gsyn0[row1], size)
 * 
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_RMSprop:

    /* "gensim/models/word2vec_inner.pyx":864
 *         update_poincare_embedding_full_rsgd(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.RMSprop:
 *         update_poincare_embedding_rmsprop(&syn0[row1], alpha, &exp_sims_and_grads[1], &Gsyn0[row1], size)             # <<<<<<<<<<<<<<
 * 
 * 
 */
    __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_rmsprop((&(__pyx_v_syn0[__pyx_v_row1])), __pyx_v_alpha, (&(__pyx_v_exp_sims_and_grads[1])), (&(__pyx_v_Gsyn0[__pyx_v_row1])), __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":863
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_poincare_embedding_full_rsgd(&syn0[row1], adaptive_lr, &exp_sims_and_grads[1], size)
 *     elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *         update_poincare_embedding_rmsprop(&syn0[row1], alpha, &exp_sims_and_grads[1], &Gsyn0[row1], size)
 * 
 */
    break;
    default: break;
  }

  /* "gensim/models/word2vec_inner.pyx":868
 * 
 *     # Update output embedding for the target context w (i.e. d==0) and for the negative samples w_j.
 *     for d in range(negative+1):             # <<<<<<<<<<<<<<
 *         if row2[d] == -1:
 *             continue
 */
  __pyx_t_1 = (__pyx_v_negative + 1);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_d = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":869
 *     # Update output embedding for the target context w (i.e. d==0) and for the negative samples w_j.
 *     for d in range(negative+1):
 *         if row2[d] == -1:             # <<<<<<<<<<<<<<
 *             continue
 *         start = increment * d
 */
    __pyx_t_4 = (((__pyx_v_row2[__pyx_v_d]) == -1LL) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":870
 *     for d in range(negative+1):
 *         if row2[d] == -1:
 *             continue             # <<<<<<<<<<<<<<
 *         start = increment * d
 *         syn1neg_idx = size * d
 */
      goto __pyx_L11_continue;

      /* "gensim/models/word2vec_inner.pyx":869
 *     # Update output embedding for the target context w (i.e. d==0) and for the negative samples w_j.
 *     for d in range(negative+1):
 *         if row2[d] == -1:             # <<<<<<<<<<<<<<
 *             continue
 *         start = increment * d
 */
    }

    /* "gensim/models/word2vec_inner.pyx":871
 *         if row2[d] == -1:
 *             continue
 *         start = increment * d             # <<<<<<<<<<<<<<
 *         syn1neg_idx = size * d
 *         idx = word_index if d == 0 else row2[d] / size
 */
    __pyx_v_start = (__pyx_v_increment * __pyx_v_d);

    /* "gensim/models/word2vec_inner.pyx":872
 *             continue
 *         start = increment * d
 *         syn1neg_idx = size * d             # <<<<<<<<<<<<<<
 *         idx = word_index if d == 0 else row2[d] / size
 *         coef = (1 + gamma_coef * exp_sims_and_grads[start]) if d == 0 else gamma_coef * exp_sims_and_grads[start]
 */
    __pyx_v_syn1neg_idx = (__pyx_v_size * __pyx_v_d);

    /* "gensim/models/word2vec_inner.pyx":873
 *         start = increment * d
 *         syn1neg_idx = size * d
 *         idx = word_index if d == 0 else row2[d] / size             # <<<<<<<<<<<<<<
 *         coef = (1 + gamma_coef * exp_sims_and_grads[start]) if d == 0 else gamma_coef * exp_sims_and_grads[start]
 *         adaptive_lr = alpha / sqrt(index2freq[idx] / 100.0)
 */
    if (((__pyx_v_d == 0) != 0)) {
      __pyx_t_6 = __pyx_v_word_index;
    } else {
      __pyx_t_6 = ((__pyx_v_row2[__pyx_v_d]) / __pyx_v_size);
    }
    __pyx_v_idx = __pyx_t_6;

    /* "gensim/models/word2vec_inner.pyx":874
 *         syn1neg_idx = size * d
 *         idx = word_index if d == 0 else row2[d] / size
 *         coef = (1 + gamma_coef * exp_sims_and_grads[start]) if d == 0 else gamma_coef * exp_sims_and_grads[start]             # <<<<<<<<<<<<<<
 *         adaptive_lr = alpha / sqrt(index2freq[idx] / 100.0)
 *         if l2reg_coef and idx < REG_WORD_INDEX_THRESHOLD:
 */
    if (((__pyx_v_d == 0) != 0)) {
      __pyx_t_7 = (1.0 + (__pyx_v_gamma_coef * (__pyx_v_exp_sims_and_grads[__pyx_v_start])));
    } else {
      __pyx_t_7 = (__pyx_v_gamma_coef * (__pyx_v_exp_sims_and_grads[__pyx_v_start]));
    }
    __pyx_v_coef = __pyx_t_7;

    /* "gensim/models/word2vec_inner.pyx":875
 *         idx = word_index if d == 0 else row2[d] / size
 *         coef = (1 + gamma_coef * exp_sims_and_grads[start]) if d == 0 else gamma_coef * exp_sims_and_grads[start]
 *         adaptive_lr = alpha / sqrt(index2freq[idx] / 100.0)             # <<<<<<<<<<<<<<
 *         if l2reg_coef and idx < REG_WORD_INDEX_THRESHOLD:
 *             # Gradient wrt w/w_j + contribution of the regularizer (i.e. syn1neg_copies == -2*lambda*output_emb*1/conformal_factor * emb).
 */
    __pyx_v_adaptive_lr = (__pyx_v_alpha / sqrt(((__pyx_v_index2freq[__pyx_v_idx]) / 100.0)));

    /* "gensim/models/word2vec_inner.pyx":876
 *         coef = (1 + gamma_coef * exp_sims_and_grads[start]) if d == 0 else gamma_coef * exp_sims_and_grads[start]
 *         adaptive_lr = alpha / sqrt(index2freq[idx] / 100.0)
 *         if l2reg_coef and idx < REG_WORD_INDEX_THRESHOLD:             # <<<<<<<<<<<<<<
 *             # Gradient wrt w/w_j + contribution of the regularizer (i.e. syn1neg_copies == -2*lambda*output_emb*1/conformal_factor * emb).
 *             daxpy(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)
 */
    __pyx_t_5 = (__pyx_v_l2reg_coef != 0);
    if (__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L15_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_idx < 0x2E45D) != 0);
    __pyx_t_4 = __pyx_t_5;
    __pyx_L15_bool_binop_done:;
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":878
 *         if l2reg_coef and idx < REG_WORD_INDEX_THRESHOLD:
 *             # Gradient wrt w/w_j + contribution of the regularizer (i.e. syn1neg_copies == -2*lambda*output_emb*1/conformal_factor * emb).
 *             daxpy(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)             # <<<<<<<<<<<<<<
 *             if optimizer == OptType.RSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)
 */
      __pyx_v_6gensim_6models_14word2vec_inner_daxpy((&__pyx_v_size), (&__pyx_v_coef), (&(__pyx_v_exp_sims_and_grads[((__pyx_v_start + __pyx_v_size) + 1)])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1neg_copies[__pyx_v_syn1neg_idx])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

      /* "gensim/models/word2vec_inner.pyx":879
 *             # Gradient wrt w/w_j + contribution of the regularizer (i.e. syn1neg_copies == -2*lambda*output_emb*1/conformal_factor * emb).
 *             daxpy(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)
 *             if optimizer == OptType.RSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.WeightedRSGD:
 */
      switch (__pyx_v_optimizer) {
        case __pyx_e_6gensim_6models_14word2vec_inner_RSGD:

        /* "gensim/models/word2vec_inner.pyx":880
 *             daxpy(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)
 *             if optimizer == OptType.RSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)             # <<<<<<<<<<<<<<
 *             elif optimizer == OptType.WeightedRSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)
 */
        __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding((&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), __pyx_v_alpha, (&(__pyx_v_syn1neg_copies[__pyx_v_syn1neg_idx])), __pyx_v_size);

        /* "gensim/models/word2vec_inner.pyx":879
 *             # Gradient wrt w/w_j + contribution of the regularizer (i.e. syn1neg_copies == -2*lambda*output_emb*1/conformal_factor * emb).
 *             daxpy(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)
 *             if optimizer == OptType.RSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.WeightedRSGD:
 */
        break;

        /* "gensim/models/word2vec_inner.pyx":881
 *             if optimizer == OptType.RSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.WeightedRSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.FullRSGD:
 */
        case __pyx_e_6gensim_6models_14word2vec_inner_WeightedRSGD:

        /* "gensim/models/word2vec_inner.pyx":882
 *                 update_poincare_embedding(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.WeightedRSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)             # <<<<<<<<<<<<<<
 *             elif optimizer == OptType.FullRSGD:
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)
 */
        __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding((&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), __pyx_v_adaptive_lr, (&(__pyx_v_syn1neg_copies[__pyx_v_syn1neg_idx])), __pyx_v_size);

        /* "gensim/models/word2vec_inner.pyx":881
 *             if optimizer == OptType.RSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.WeightedRSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.FullRSGD:
 */
        break;

        /* "gensim/models/word2vec_inner.pyx":883
 *             elif optimizer == OptType.WeightedRSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.FullRSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.WeightedFullRSGD:
 */
        case __pyx_e_6gensim_6models_14word2vec_inner_FullRSGD:

        /* "gensim/models/word2vec_inner.pyx":884
 *                 update_poincare_embedding(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.FullRSGD:
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)             # <<<<<<<<<<<<<<
 *             elif optimizer == OptType.WeightedFullRSGD:
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)
 */
        __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_full_rsgd((&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), __pyx_v_alpha, (&(__pyx_v_syn1neg_copies[__pyx_v_syn1neg_idx])), __pyx_v_size);

        /* "gensim/models/word2vec_inner.pyx":883
 *             elif optimizer == OptType.WeightedRSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.FullRSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.WeightedFullRSGD:
 */
        break;

        /* "gensim/models/word2vec_inner.pyx":885
 *             elif optimizer == OptType.FullRSGD:
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.RMSprop:
 */
        case __pyx_e_6gensim_6models_14word2vec_inner_WeightedFullRSGD:

        /* "gensim/models/word2vec_inner.pyx":886
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.WeightedFullRSGD:
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)             # <<<<<<<<<<<<<<
 *             elif optimizer == OptType.RMSprop:
 *                 update_poincare_embedding_rmsprop(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], &Gsyn1neg[row2[d]], size)
 */
        __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_full_rsgd((&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), __pyx_v_adaptive_lr, (&(__pyx_v_syn1neg_copies[__pyx_v_syn1neg_idx])), __pyx_v_size);

        /* "gensim/models/word2vec_inner.pyx":885
 *             elif optimizer == OptType.FullRSGD:
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.RMSprop:
 */
        break;

        /* "gensim/models/word2vec_inner.pyx":887
 *             elif optimizer == OptType.WeightedFullRSGD:
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding_rmsprop(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], &Gsyn1neg[row2[d]], size)
 *         else:
 */
        case __pyx_e_6gensim_6models_14word2vec_inner_RMSprop:

        /* "gensim/models/word2vec_inner.pyx":888
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.RMSprop:
 *                 update_poincare_embedding_rmsprop(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], &Gsyn1neg[row2[d]], size)             # <<<<<<<<<<<<<<
 *         else:
 *             # Gradient wrt w/w_j.
 */
        __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_rmsprop((&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), __pyx_v_alpha, (&(__pyx_v_syn1neg_copies[__pyx_v_syn1neg_idx])), (&(__pyx_v_Gsyn1neg[(__pyx_v_row2[__pyx_v_d])])), __pyx_v_size);

        /* "gensim/models/word2vec_inner.pyx":887
 *             elif optimizer == OptType.WeightedFullRSGD:
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &syn1neg_copies[syn1neg_idx], size)
 *             elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding_rmsprop(&syn1neg[row2[d]], alpha, &syn1neg_copies[syn1neg_idx], &Gsyn1neg[row2[d]], size)
 *         else:
 */
        break;
        default: break;
      }

      /* "gensim/models/word2vec_inner.pyx":876
 *         coef = (1 + gamma_coef * exp_sims_and_grads[start]) if d == 0 else gamma_coef * exp_sims_and_grads[start]
 *         adaptive_lr = alpha / sqrt(index2freq[idx] / 100.0)
 *         if l2reg_coef and idx < REG_WORD_INDEX_THRESHOLD:             # <<<<<<<<<<<<<<
 *             # Gradient wrt w/w_j + contribution of the regularizer (i.e. syn1neg_copies == -2*lambda*output_emb*1/conformal_factor * emb).
 *             daxpy(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE, &syn1neg_copies[syn1neg_idx], &ONE)
 */
      goto __pyx_L14;
    }

    /* "gensim/models/word2vec_inner.pyx":891
 *         else:
 *             # Gradient wrt w/w_j.
 *             if optimizer == OptType.RSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * alpha, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.WeightedRSGD:
 */
    /*else*/ {

      /* "gensim/models/word2vec_inner.pyx":901
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_rmsprop(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], &Gsyn1neg[row2[d]], size)
 */
      switch (__pyx_v_optimizer) {

        /* "gensim/models/word2vec_inner.pyx":891
 *         else:
 *             # Gradient wrt w/w_j.
 *             if optimizer == OptType.RSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * alpha, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.WeightedRSGD:
 */
        case __pyx_e_6gensim_6models_14word2vec_inner_RSGD:

        /* "gensim/models/word2vec_inner.pyx":892
 *             # Gradient wrt w/w_j.
 *             if optimizer == OptType.RSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * alpha, &exp_sims_and_grads[start + size + 1], size)             # <<<<<<<<<<<<<<
 *             elif optimizer == OptType.WeightedRSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 */
        __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding((&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), (__pyx_v_coef * __pyx_v_alpha), (&(__pyx_v_exp_sims_and_grads[((__pyx_v_start + __pyx_v_size) + 1)])), __pyx_v_size);

        /* "gensim/models/word2vec_inner.pyx":891
 *         else:
 *             # Gradient wrt w/w_j.
 *             if optimizer == OptType.RSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * alpha, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.WeightedRSGD:
 */
        break;

        /* "gensim/models/word2vec_inner.pyx":893
 *             if optimizer == OptType.RSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * alpha, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.WeightedRSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.FullRSGD:
 */
        case __pyx_e_6gensim_6models_14word2vec_inner_WeightedRSGD:

        /* "gensim/models/word2vec_inner.pyx":894
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * alpha, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.WeightedRSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * adaptive_lr, &exp_sims_and_grads[start + size + 1], size)             # <<<<<<<<<<<<<<
 *             elif optimizer == OptType.FullRSGD:
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 */
        __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding((&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), (__pyx_v_coef * __pyx_v_adaptive_lr), (&(__pyx_v_exp_sims_and_grads[((__pyx_v_start + __pyx_v_size) + 1)])), __pyx_v_size);

        /* "gensim/models/word2vec_inner.pyx":893
 *             if optimizer == OptType.RSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * alpha, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.WeightedRSGD:             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.FullRSGD:
 */
        break;

        /* "gensim/models/word2vec_inner.pyx":895
 *             elif optimizer == OptType.WeightedRSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.FullRSGD:             # <<<<<<<<<<<<<<
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], size)
 */
        case __pyx_e_6gensim_6models_14word2vec_inner_FullRSGD:

        /* "gensim/models/word2vec_inner.pyx":896
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.FullRSGD:
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.WeightedFullRSGD:
 */
        __pyx_v_6gensim_6models_14word2vec_inner_dscal((&__pyx_v_size), (&__pyx_v_coef), (&(__pyx_v_exp_sims_and_grads[((__pyx_v_start + __pyx_v_size) + 1)])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

        /* "gensim/models/word2vec_inner.pyx":897
 *             elif optimizer == OptType.FullRSGD:
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], size)             # <<<<<<<<<<<<<<
 *             elif optimizer == OptType.WeightedFullRSGD:
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 */
        __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_full_rsgd((&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), __pyx_v_alpha, (&(__pyx_v_exp_sims_and_grads[((__pyx_v_start + __pyx_v_size) + 1)])), __pyx_v_size);

        /* "gensim/models/word2vec_inner.pyx":895
 *             elif optimizer == OptType.WeightedRSGD:
 *                 update_poincare_embedding(&syn1neg[row2[d]], coef * adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.FullRSGD:             # <<<<<<<<<<<<<<
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], size)
 */
        break;

        /* "gensim/models/word2vec_inner.pyx":898
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 */
        case __pyx_e_6gensim_6models_14word2vec_inner_WeightedFullRSGD:

        /* "gensim/models/word2vec_inner.pyx":899
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.WeightedFullRSGD:
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.RMSprop:
 */
        __pyx_v_6gensim_6models_14word2vec_inner_dscal((&__pyx_v_size), (&__pyx_v_coef), (&(__pyx_v_exp_sims_and_grads[((__pyx_v_start + __pyx_v_size) + 1)])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

        /* "gensim/models/word2vec_inner.pyx":900
 *             elif optimizer == OptType.WeightedFullRSGD:
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &exp_sims_and_grads[start + size + 1], size)             # <<<<<<<<<<<<<<
 *             elif optimizer == OptType.RMSprop:
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 */
        __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_full_rsgd((&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), __pyx_v_adaptive_lr, (&(__pyx_v_exp_sims_and_grads[((__pyx_v_start + __pyx_v_size) + 1)])), __pyx_v_size);

        /* "gensim/models/word2vec_inner.pyx":898
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 */
        break;

        /* "gensim/models/word2vec_inner.pyx":901
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_rmsprop(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], &Gsyn1neg[row2[d]], size)
 */
        case __pyx_e_6gensim_6models_14word2vec_inner_RMSprop:

        /* "gensim/models/word2vec_inner.pyx":902
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.RMSprop:
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)             # <<<<<<<<<<<<<<
 *                 update_poincare_embedding_rmsprop(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], &Gsyn1neg[row2[d]], size)
 * 
 */
        __pyx_v_6gensim_6models_14word2vec_inner_dscal((&__pyx_v_size), (&__pyx_v_coef), (&(__pyx_v_exp_sims_and_grads[((__pyx_v_start + __pyx_v_size) + 1)])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

        /* "gensim/models/word2vec_inner.pyx":903
 *             elif optimizer == OptType.RMSprop:
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_rmsprop(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], &Gsyn1neg[row2[d]], size)             # <<<<<<<<<<<<<<
 * 
 *         if with_bias:
 */
        __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_rmsprop((&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), __pyx_v_alpha, (&(__pyx_v_exp_sims_and_grads[((__pyx_v_start + __pyx_v_size) + 1)])), (&(__pyx_v_Gsyn1neg[(__pyx_v_row2[__pyx_v_d])])), __pyx_v_size);

        /* "gensim/models/word2vec_inner.pyx":901
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_full_rsgd(&syn1neg[row2[d]], adaptive_lr, &exp_sims_and_grads[start + size + 1], size)
 *             elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *                 dscal(&size, &coef, &exp_sims_and_grads[start + size + 1], &ONE)
 *                 update_poincare_embedding_rmsprop(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], &Gsyn1neg[row2[d]], size)
 */
        break;
        default: break;
      }
    }
    __pyx_L14:;

    /* "gensim/models/word2vec_inner.pyx":905
 *                 update_poincare_embedding_rmsprop(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], &Gsyn1neg[row2[d]], size)
 * 
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             if optimizer == OptType.RSGD or optimizer == OptType.FullRSGD:
 *                 b1[idx] += alpha * coef
 */
    __pyx_t_4 = (__pyx_v_with_bias != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":906
 * 
 *         if with_bias:
 *             if optimizer == OptType.RSGD or optimizer == OptType.FullRSGD:             # <<<<<<<<<<<<<<
 *                 b1[idx] += alpha * coef
 *             elif optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 */
      switch (__pyx_v_optimizer) {
        case __pyx_e_6gensim_6models_14word2vec_inner_RSGD:
        case __pyx_e_6gensim_6models_14word2vec_inner_FullRSGD:

        /* "gensim/models/word2vec_inner.pyx":907
 *         if with_bias:
 *             if optimizer == OptType.RSGD or optimizer == OptType.FullRSGD:
 *                 b1[idx] += alpha * coef             # <<<<<<<<<<<<<<
 *             elif optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 *                 b1[idx] += adaptive_lr * coef
 */
        __pyx_t_8 = __pyx_v_idx;
        (__pyx_v_b1[__pyx_t_8]) = ((__pyx_v_b1[__pyx_t_8]) + (__pyx_v_alpha * __pyx_v_coef));

        /* "gensim/models/word2vec_inner.pyx":906
 * 
 *         if with_bias:
 *             if optimizer == OptType.RSGD or optimizer == OptType.FullRSGD:             # <<<<<<<<<<<<<<
 *                 b1[idx] += alpha * coef
 *             elif optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 */
        break;

        /* "gensim/models/word2vec_inner.pyx":908
 *             if optimizer == OptType.RSGD or optimizer == OptType.FullRSGD:
 *                 b1[idx] += alpha * coef
 *             elif optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *                 b1[idx] += adaptive_lr * coef
 *             elif optimizer == OptType.RMSprop:
 */
        case __pyx_e_6gensim_6models_14word2vec_inner_WeightedRSGD:
        case __pyx_e_6gensim_6models_14word2vec_inner_WeightedFullRSGD:

        /* "gensim/models/word2vec_inner.pyx":909
 *                 b1[idx] += alpha * coef
 *             elif optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 *                 b1[idx] += adaptive_lr * coef             # <<<<<<<<<<<<<<
 *             elif optimizer == OptType.RMSprop:
 *                 Gb1[idx] += coef * coef
 */
        __pyx_t_8 = __pyx_v_idx;
        (__pyx_v_b1[__pyx_t_8]) = ((__pyx_v_b1[__pyx_t_8]) + (__pyx_v_adaptive_lr * __pyx_v_coef));

        /* "gensim/models/word2vec_inner.pyx":908
 *             if optimizer == OptType.RSGD or optimizer == OptType.FullRSGD:
 *                 b1[idx] += alpha * coef
 *             elif optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *                 b1[idx] += adaptive_lr * coef
 *             elif optimizer == OptType.RMSprop:
 */
        break;

        /* "gensim/models/word2vec_inner.pyx":910
 *             elif optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 *                 b1[idx] += adaptive_lr * coef
 *             elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *                 Gb1[idx] += coef * coef
 *                 adaptive_lr = alpha / sqrt(Gb1[idx])
 */
        case __pyx_e_6gensim_6models_14word2vec_inner_RMSprop:

        /* "gensim/models/word2vec_inner.pyx":911
 *                 b1[idx] += adaptive_lr * coef
 *             elif optimizer == OptType.RMSprop:
 *                 Gb1[idx] += coef * coef             # <<<<<<<<<<<<<<
 *                 adaptive_lr = alpha / sqrt(Gb1[idx])
 *                 b1[idx] += adaptive_lr * coef
 */
        __pyx_t_8 = __pyx_v_idx;
        (__pyx_v_Gb1[__pyx_t_8]) = ((__pyx_v_Gb1[__pyx_t_8]) + (__pyx_v_coef * __pyx_v_coef));

        /* "gensim/models/word2vec_inner.pyx":912
 *             elif optimizer == OptType.RMSprop:
 *                 Gb1[idx] += coef * coef
 *                 adaptive_lr = alpha / sqrt(Gb1[idx])             # <<<<<<<<<<<<<<
 *                 b1[idx] += adaptive_lr * coef
 * 
 */
        __pyx_v_adaptive_lr = (__pyx_v_alpha / sqrt((__pyx_v_Gb1[__pyx_v_idx])));

        /* "gensim/models/word2vec_inner.pyx":913
 *                 Gb1[idx] += coef * coef
 *                 adaptive_lr = alpha / sqrt(Gb1[idx])
 *                 b1[idx] += adaptive_lr * coef             # <<<<<<<<<<<<<<
 * 
 *     if _compute_loss == 1:
 */
        __pyx_t_8 = __pyx_v_idx;
        (__pyx_v_b1[__pyx_t_8]) = ((__pyx_v_b1[__pyx_t_8]) + (__pyx_v_adaptive_lr * __pyx_v_coef));

        /* "gensim/models/word2vec_inner.pyx":910
 *             elif optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 *                 b1[idx] += adaptive_lr * coef
 *             elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *                 Gb1[idx] += coef * coef
 *                 adaptive_lr = alpha / sqrt(Gb1[idx])
 */
        break;
        default: break;
      }

      /* "gensim/models/word2vec_inner.pyx":905
 *                 update_poincare_embedding_rmsprop(&syn1neg[row2[d]], alpha, &exp_sims_and_grads[start + size + 1], &Gsyn1neg[row2[d]], size)
 * 
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             if optimizer == OptType.RSGD or optimizer == OptType.FullRSGD:
 *                 b1[idx] += alpha * coef
 */
    }
    __pyx_L11_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":915
 *                 b1[idx] += adaptive_lr * coef
 * 
 *     if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *         coef = log(exp_sims_and_grads[0]) - log(gamma) + acc_regularizer_loss + l2reg_coef * word2_dot
 *         _batch_training_loss_param[0] -= coef
 */
  __pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
  if (__pyx_t_4) {

    /* "gensim/models/word2vec_inner.pyx":916
 * 
 *     if _compute_loss == 1:
 *         coef = log(exp_sims_and_grads[0]) - log(gamma) + acc_regularizer_loss + l2reg_coef * word2_dot             # <<<<<<<<<<<<<<
 *         _batch_training_loss_param[0] -= coef
 *         _epoch_training_loss_param[0] -= coef
 */
    __pyx_v_coef = (((log((__pyx_v_exp_sims_and_grads[0])) - log(__pyx_v_gamma)) + __pyx_v_acc_regularizer_loss) + (__pyx_v_l2reg_coef * __pyx_v_word2_dot));

    /* "gensim/models/word2vec_inner.pyx":917
 *     if _compute_loss == 1:
 *         coef = log(exp_sims_and_grads[0]) - log(gamma) + acc_regularizer_loss + l2reg_coef * word2_dot
 *         _batch_training_loss_param[0] -= coef             # <<<<<<<<<<<<<<
 *         _epoch_training_loss_param[0] -= coef
 * 
 */
    __pyx_t_1 = 0;
    (__pyx_v__batch_training_loss_param[__pyx_t_1]) = ((__pyx_v__batch_training_loss_param[__pyx_t_1]) - __pyx_v_coef);

    /* "gensim/models/word2vec_inner.pyx":918
 *         coef = log(exp_sims_and_grads[0]) - log(gamma) + acc_regularizer_loss + l2reg_coef * word2_dot
 *         _batch_training_loss_param[0] -= coef
 *         _epoch_training_loss_param[0] -= coef             # <<<<<<<<<<<<<<
 * 
 *     return next_random
 */
    __pyx_t_1 = 0;
    (__pyx_v__epoch_training_loss_param[__pyx_t_1]) = ((__pyx_v__epoch_training_loss_param[__pyx_t_1]) - __pyx_v_coef);

    /* "gensim/models/word2vec_inner.pyx":915
 *                 b1[idx] += adaptive_lr * coef
 * 
 *     if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *         coef = log(exp_sims_and_grads[0]) - log(gamma) + acc_regularizer_loss + l2reg_coef * word2_dot
 *         _batch_training_loss_param[0] -= coef
 */
  }

  /* "gensim/models/word2vec_inner.pyx":920
 *         _epoch_training_loss_param[0] -= coef
 * 
 *     return next_random             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_next_random;
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":783
 * 
 * 
 * cdef unsigned long long fast_sentence_nll_poincare(             # <<<<<<<<<<<<<<
 *         const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *         DOUBLE_t *syn0, DOUBLE_t *syn1neg, DOUBLE_t *b0, DOUBLE_t *b1, DOUBLE_t *Gsyn0, DOUBLE_t *Gsyn1neg,
 */

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

/* "gensim/models/word2vec_inner.pyx":923
 * 
 * 
 * cdef unsigned long long fast_sentence_sg_poincare(             # <<<<<<<<<<<<<<
 *         const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *         DOUBLE_t *syn0, DOUBLE_t *syn1neg, DOUBLE_t *b0, DOUBLE_t *b1, const int size, const np.uint32_t word_index,
 */

static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_poincare(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_DOUBLE_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_syn1neg, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_b0, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_b1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_word_index, __pyx_t_5numpy_uint32_t const __pyx_v_word2_index, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const __pyx_v_alpha, CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const __pyx_v_l2reg_coef, enum __pyx_t_6gensim_6models_14word2vec_inner_OptType const __pyx_v_optimizer, enum __pyx_t_6gensim_6models_14word2vec_inner_SimFuncType const __pyx_v_sim_func, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t const __pyx_v_cosh_dist_pow, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_work, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v_word_locks, __pyx_t_5numpy_uint32_t const *__pyx_v_index2freq, int const __pyx_v__compute_loss, int const __pyx_v_with_bias, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v__batch_training_loss_param, __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t *__pyx_v__epoch_training_loss_param) {
  PY_LONG_LONG __pyx_v_row1;
  PY_LONG_LONG __pyx_v_row2;
  unsigned PY_LONG_LONG __pyx_v_modulo;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_label;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_f_sim;
  CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_word2_dot;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_dL_dS;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_poincare_sim[((2 * __pyx_v_size) + 1)];
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_syn0_copy[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_v_syn1neg_copy[__pyx_v_size];
  __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;
  __pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t __pyx_t_5;
  __pyx_t_5numpy_uint32_t __pyx_t_6;

  /* "gensim/models/word2vec_inner.pyx":932
 * 
 *     cdef long long a
 *     cdef long long row1 = word2_index * size, row2             # <<<<<<<<<<<<<<
 *     cdef unsigned long long modulo = 281474976710655ULL
 *     cdef DOUBLE_t f, g, label, f_sim, word2_dot, coef, dL_dS, emb_sq_norm
 */
  __pyx_v_row1 = (__pyx_v_word2_index * __pyx_v_size);

  /* "gensim/models/word2vec_inner.pyx":933
 *     cdef long long a
 *     cdef long long row1 = word2_index * size, row2
 *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
 *     cdef DOUBLE_t f, g, label, f_sim, word2_dot, coef, dL_dS, emb_sq_norm
 *     cdef DOUBLE_t poincare_sim[2 * size + 1], syn0_copy[size], syn1neg_copy[size]
 */
  __pyx_v_modulo = 281474976710655ULL;

  /* "gensim/models/word2vec_inner.pyx":939
 *     cdef int d
 * 
 *     memset(work, 0, size * cython.sizeof(DOUBLE_t))             # <<<<<<<<<<<<<<
 *     dcopy(&size, &syn0[row1], &ONE, syn0_copy, &ONE)
 *     word2_dot = ddot(&size, syn0_copy, &ONE, syn0_copy, &ONE)
 */
  (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t)))));

  /* "gensim/models/word2vec_inner.pyx":940
 * 
 *     memset(work, 0, size * cython.sizeof(DOUBLE_t))
 *     dcopy(&size, &syn0[row1], &ONE, syn0_copy, &ONE)             # <<<<<<<<<<<<<<
 *     word2_dot = ddot(&size, syn0_copy, &ONE, syn0_copy, &ONE)
 * 
 */
  __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_syn0_copy, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":941
 *     memset(work, 0, size * cython.sizeof(DOUBLE_t))
 *     dcopy(&size, &syn0[row1], &ONE, syn0_copy, &ONE)
 *     word2_dot = ddot(&size, syn0_copy, &ONE, syn0_copy, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     for d in range(negative+1):
 */
  __pyx_v_word2_dot = __pyx_v_6gensim_6models_14word2vec_inner_ddot((&__pyx_v_size), __pyx_v_syn0_copy, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_syn0_copy, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":943
 *     word2_dot = ddot(&size, syn0_copy, &ONE, syn0_copy, &ONE)
 * 
 *     for d in range(negative+1):             # <<<<<<<<<<<<<<
 *         if d == 0:
 *             target_index = word_index
 */
  __pyx_t_1 = (__pyx_v_negative + 1);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_d = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":944
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *             label = ONED
 */
    __pyx_t_4 = ((__pyx_v_d == 0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":945
 *     for d in range(negative+1):
 *         if d == 0:
 *             target_index = word_index             # <<<<<<<<<<<<<<
 *             label = ONED
 *         else:
 */
      __pyx_v_target_index = __pyx_v_word_index;

      /* "gensim/models/word2vec_inner.pyx":946
 *         if d == 0:
 *             target_index = word_index
 *             label = ONED             # <<<<<<<<<<<<<<
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 */
      __pyx_v_label = __pyx_v_6gensim_6models_14word2vec_inner_ONED;

      /* "gensim/models/word2vec_inner.pyx":944
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *             label = ONED
 */
      goto __pyx_L5;
    }

    /* "gensim/models/word2vec_inner.pyx":948
 *             label = ONED
 *         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/word2vec_inner.pyx":949
 *         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/word2vec_inner.pyx":950
 *             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 = <DOUBLE_t>0.0
 */
      __pyx_t_4 = ((__pyx_v_target_index == __pyx_v_word_index) != 0);
      if (__pyx_t_4) {

        /* "gensim/models/word2vec_inner.pyx":951
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == word_index:
 *                 continue             # <<<<<<<<<<<<<<
 *             label = <DOUBLE_t>0.0
 * 
 */
        goto __pyx_L3_continue;

        /* "gensim/models/word2vec_inner.pyx":950
 *             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 = <DOUBLE_t>0.0
 */
      }

      /* "gensim/models/word2vec_inner.pyx":952
 *             if target_index == word_index:
 *                 continue
 *             label = <DOUBLE_t>0.0             # <<<<<<<<<<<<<<
 * 
 *         row2 = target_index * size
 */
      __pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t)0.0);
    }
    __pyx_L5:;

    /* "gensim/models/word2vec_inner.pyx":954
 *             label = <DOUBLE_t>0.0
 * 
 *         row2 = target_index * size             # <<<<<<<<<<<<<<
 * 
 *         # Compute Poincare distance between vectors. First argument is word2, the second one is word/word_j.
 */
    __pyx_v_row2 = (__pyx_v_target_index * __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":957
 * 
 *         # Compute Poincare distance between vectors. First argument is word2, the second one is word/word_j.
 *         dcopy(&size, &syn1neg[row2], &ONE, syn1neg_copy, &ONE)             # <<<<<<<<<<<<<<
 *         poincare_similarity(poincare_sim, syn0_copy, syn1neg_copy, size, sim_func, cosh_dist_pow, NULL)
 *         f_sim = poincare_sim[0]
 */
    __pyx_v_6gensim_6models_14word2vec_inner_dcopy((&__pyx_v_size), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_syn1neg_copy, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":958
 *         # Compute Poincare distance between vectors. First argument is word2, the second one is word/word_j.
 *         dcopy(&size, &syn1neg[row2], &ONE, syn1neg_copy, &ONE)
 *         poincare_similarity(poincare_sim, syn0_copy, syn1neg_copy, size, sim_func, cosh_dist_pow, NULL)             # <<<<<<<<<<<<<<
 *         f_sim = poincare_sim[0]
 *         if with_bias:
 */
    __pyx_f_6gensim_6models_14word2vec_inner_poincare_similarity(__pyx_v_poincare_sim, __pyx_v_syn0_copy, __pyx_v_syn1neg_copy, __pyx_v_size, __pyx_v_sim_func, __pyx_v_cosh_dist_pow, NULL);

    /* "gensim/models/word2vec_inner.pyx":959
 *         dcopy(&size, &syn1neg[row2], &ONE, syn1neg_copy, &ONE)
 *         poincare_similarity(poincare_sim, syn0_copy, syn1neg_copy, size, sim_func, cosh_dist_pow, NULL)
 *         f_sim = poincare_sim[0]             # <<<<<<<<<<<<<<
 *         if with_bias:
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 */
    __pyx_v_f_sim = (__pyx_v_poincare_sim[0]);

    /* "gensim/models/word2vec_inner.pyx":960
 *         poincare_similarity(poincare_sim, syn0_copy, syn1neg_copy, size, sim_func, cosh_dist_pow, NULL)
 *         f_sim = poincare_sim[0]
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 */
    __pyx_t_4 = (__pyx_v_with_bias != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":961
 *         f_sim = poincare_sim[0]
 *         if with_bias:
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]             # <<<<<<<<<<<<<<
 * 
 *         if f_sim >= MAX_EXP:
 */
      __pyx_v_f_sim = ((__pyx_v_f_sim + (__pyx_v_b0[__pyx_v_word2_index])) + (__pyx_v_b1[__pyx_v_target_index]));

      /* "gensim/models/word2vec_inner.pyx":960
 *         poincare_similarity(poincare_sim, syn0_copy, syn1neg_copy, size, sim_func, cosh_dist_pow, NULL)
 *         f_sim = poincare_sim[0]
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 */
    }

    /* "gensim/models/word2vec_inner.pyx":963
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 *         if f_sim >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:
 */
    __pyx_t_4 = ((__pyx_v_f_sim >= 6.0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":964
 * 
 *         if f_sim >= MAX_EXP:
 *             f = 1.0             # <<<<<<<<<<<<<<
 *         elif f_sim <= -MAX_EXP:
 *             f = 0.0
 */
      __pyx_v_f = 1.0;

      /* "gensim/models/word2vec_inner.pyx":963
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 *         if f_sim >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:
 */
      goto __pyx_L8;
    }

    /* "gensim/models/word2vec_inner.pyx":965
 *         if f_sim >= MAX_EXP:
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 0.0
 *         else:
 */
    __pyx_t_4 = ((__pyx_v_f_sim <= -6.0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":966
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:
 *             f = 0.0             # <<<<<<<<<<<<<<
 *         else:
 *             f = <DOUBLE_t> EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
      __pyx_v_f = 0.0;

      /* "gensim/models/word2vec_inner.pyx":965
 *         if f_sim >= MAX_EXP:
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 0.0
 *         else:
 */
      goto __pyx_L8;
    }

    /* "gensim/models/word2vec_inner.pyx":968
 *             f = 0.0
 *         else:
 *             f = <DOUBLE_t> EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *         dL_dS = label - f
 * 
 */
    /*else*/ {
      __pyx_v_f = ((__pyx_t_6gensim_6models_14word2vec_inner_DOUBLE_t)(__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f_sim + 6.0) * 83.0))]));
    }
    __pyx_L8:;

    /* "gensim/models/word2vec_inner.pyx":969
 *         else:
 *             f = <DOUBLE_t> EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         dL_dS = label - f             # <<<<<<<<<<<<<<
 * 
 *         if _compute_loss == 1:
 */
    __pyx_v_dL_dS = (__pyx_v_label - __pyx_v_f);

    /* "gensim/models/word2vec_inner.pyx":971
 *         dL_dS = label - f
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             f_sim = (f_sim if d == 0 else -f_sim)
 *             compute_sgns_loss_dbl(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 */
    __pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":972
 * 
 *         if _compute_loss == 1:
 *             f_sim = (f_sim if d == 0 else -f_sim)             # <<<<<<<<<<<<<<
 *             compute_sgns_loss_dbl(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 * 
 */
      if (((__pyx_v_d == 0) != 0)) {
        __pyx_t_5 = __pyx_v_f_sim;
      } else {
        __pyx_t_5 = (-__pyx_v_f_sim);
      }
      __pyx_v_f_sim = __pyx_t_5;

      /* "gensim/models/word2vec_inner.pyx":973
 *         if _compute_loss == 1:
 *             f_sim = (f_sim if d == 0 else -f_sim)
 *             compute_sgns_loss_dbl(f_sim, _batch_training_loss_param, _epoch_training_loss_param)             # <<<<<<<<<<<<<<
 * 
 *         # Accumulate value by which we will update the input embedding of word2.
 */
      __pyx_f_6gensim_6models_14word2vec_inner_compute_sgns_loss_dbl(__pyx_v_f_sim, __pyx_v__batch_training_loss_param, __pyx_v__epoch_training_loss_param);

      /* "gensim/models/word2vec_inner.pyx":971
 *         dL_dS = label - f
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             f_sim = (f_sim if d == 0 else -f_sim)
 *             compute_sgns_loss_dbl(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 */
    }

    /* "gensim/models/word2vec_inner.pyx":977
 *         # Accumulate value by which we will update the input embedding of word2.
 *         # Multiply g by dS/dv_w2 (i.e. the result of poincare_similarity).
 *         g = dL_dS * alpha             # <<<<<<<<<<<<<<
 *         if optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 *             g = g / sqrt(index2freq[word2_index] / 100.0)
 */
    __pyx_v_g = (__pyx_v_dL_dS * __pyx_v_alpha);

    /* "gensim/models/word2vec_inner.pyx":978
 *         # Multiply g by dS/dv_w2 (i.e. the result of poincare_similarity).
 *         g = dL_dS * alpha
 *         if optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *             g = g / sqrt(index2freq[word2_index] / 100.0)
 *         daxpy(&size, &g, &poincare_sim[1], &ONE, work, &ONE)
 */
    switch (__pyx_v_optimizer) {
      case __pyx_e_6gensim_6models_14word2vec_inner_WeightedRSGD:
      case __pyx_e_6gensim_6models_14word2vec_inner_WeightedFullRSGD:

      /* "gensim/models/word2vec_inner.pyx":979
 *         g = dL_dS * alpha
 *         if optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 *             g = g / sqrt(index2freq[word2_index] / 100.0)             # <<<<<<<<<<<<<<
 *         daxpy(&size, &g, &poincare_sim[1], &ONE, work, &ONE)
 * 
 */
      __pyx_v_g = (__pyx_v_g / sqrt(((__pyx_v_index2freq[__pyx_v_word2_index]) / 100.0)));

      /* "gensim/models/word2vec_inner.pyx":978
 *         # Multiply g by dS/dv_w2 (i.e. the result of poincare_similarity).
 *         g = dL_dS * alpha
 *         if optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *             g = g / sqrt(index2freq[word2_index] / 100.0)
 *         daxpy(&size, &g, &poincare_sim[1], &ONE, work, &ONE)
 */
      break;
      default: break;
    }

    /* "gensim/models/word2vec_inner.pyx":980
 *         if optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 *             g = g / sqrt(index2freq[word2_index] / 100.0)
 *         daxpy(&size, &g, &poincare_sim[1], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 * 
 *         # Update output embeddings (for either word or one of the negative samples).
 */
    __pyx_v_6gensim_6models_14word2vec_inner_daxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_poincare_sim[1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":984
 *         # Update output embeddings (for either word or one of the negative samples).
 *         # Multiply g by dS/dv_w or dS/dv_w_j (i.e. the result of poincare_similarity).
 *         g = dL_dS * alpha             # <<<<<<<<<<<<<<
 *         if optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 *             g = g / sqrt(index2freq[target_index] / 100.0)
 */
    __pyx_v_g = (__pyx_v_dL_dS * __pyx_v_alpha);

    /* "gensim/models/word2vec_inner.pyx":985
 *         # Multiply g by dS/dv_w or dS/dv_w_j (i.e. the result of poincare_similarity).
 *         g = dL_dS * alpha
 *         if optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *             g = g / sqrt(index2freq[target_index] / 100.0)
 *         if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:
 */
    switch (__pyx_v_optimizer) {
      case __pyx_e_6gensim_6models_14word2vec_inner_WeightedRSGD:
      case __pyx_e_6gensim_6models_14word2vec_inner_WeightedFullRSGD:

      /* "gensim/models/word2vec_inner.pyx":986
 *         g = dL_dS * alpha
 *         if optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 *             g = g / sqrt(index2freq[target_index] / 100.0)             # <<<<<<<<<<<<<<
 *         if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:
 *             update_poincare_embedding(&syn1neg[row2], g, &poincare_sim[size+1], size)
 */
      __pyx_v_g = (__pyx_v_g / sqrt(((__pyx_v_index2freq[__pyx_v_target_index]) / 100.0)));

      /* "gensim/models/word2vec_inner.pyx":985
 *         # Multiply g by dS/dv_w or dS/dv_w_j (i.e. the result of poincare_similarity).
 *         g = dL_dS * alpha
 *         if optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *             g = g / sqrt(index2freq[target_index] / 100.0)
 *         if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:
 */
      break;
      default: break;
    }

    /* "gensim/models/word2vec_inner.pyx":987
 *         if optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 *             g = g / sqrt(index2freq[target_index] / 100.0)
 *         if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:             # <<<<<<<<<<<<<<
 *             update_poincare_embedding(&syn1neg[row2], g, &poincare_sim[size+1], size)
 *         elif optimizer == OptType.FullRSGD or optimizer == OptType.WeightedFullRSGD:
 */
    switch (__pyx_v_optimizer) {
      case __pyx_e_6gensim_6models_14word2vec_inner_RSGD:
      case __pyx_e_6gensim_6models_14word2vec_inner_WeightedRSGD:

      /* "gensim/models/word2vec_inner.pyx":988
 *             g = g / sqrt(index2freq[target_index] / 100.0)
 *         if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:
 *             update_poincare_embedding(&syn1neg[row2], g, &poincare_sim[size+1], size)             # <<<<<<<<<<<<<<
 *         elif optimizer == OptType.FullRSGD or optimizer == OptType.WeightedFullRSGD:
 *             update_poincare_embedding_full_rsgd(&syn1neg[row2], g, &poincare_sim[size+1], size)
 */
      __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding((&(__pyx_v_syn1neg[__pyx_v_row2])), __pyx_v_g, (&(__pyx_v_poincare_sim[(__pyx_v_size + 1)])), __pyx_v_size);

      /* "gensim/models/word2vec_inner.pyx":987
 *         if optimizer == OptType.WeightedRSGD or optimizer == OptType.WeightedFullRSGD:
 *             g = g / sqrt(index2freq[target_index] / 100.0)
 *         if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:             # <<<<<<<<<<<<<<
 *             update_poincare_embedding(&syn1neg[row2], g, &poincare_sim[size+1], size)
 *         elif optimizer == OptType.FullRSGD or optimizer == OptType.WeightedFullRSGD:
 */
      break;

      /* "gensim/models/word2vec_inner.pyx":989
 *         if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:
 *             update_poincare_embedding(&syn1neg[row2], g, &poincare_sim[size+1], size)
 *         elif optimizer == OptType.FullRSGD or optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *             update_poincare_embedding_full_rsgd(&syn1neg[row2], g, &poincare_sim[size+1], size)
 *         # Update biases.
 */
      case __pyx_e_6gensim_6models_14word2vec_inner_FullRSGD:
      case __pyx_e_6gensim_6models_14word2vec_inner_WeightedFullRSGD:

      /* "gensim/models/word2vec_inner.pyx":990
 *             update_poincare_embedding(&syn1neg[row2], g, &poincare_sim[size+1], size)
 *         elif optimizer == OptType.FullRSGD or optimizer == OptType.WeightedFullRSGD:
 *             update_poincare_embedding_full_rsgd(&syn1neg[row2], g, &poincare_sim[size+1], size)             # <<<<<<<<<<<<<<
 *         # Update biases.
 *         if with_bias:
 */
      __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_full_rsgd((&(__pyx_v_syn1neg[__pyx_v_row2])), __pyx_v_g, (&(__pyx_v_poincare_sim[(__pyx_v_size + 1)])), __pyx_v_size);

      /* "gensim/models/word2vec_inner.pyx":989
 *         if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:
 *             update_poincare_embedding(&syn1neg[row2], g, &poincare_sim[size+1], size)
 *         elif optimizer == OptType.FullRSGD or optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *             update_poincare_embedding_full_rsgd(&syn1neg[row2], g, &poincare_sim[size+1], size)
 *         # Update biases.
 */
      break;
      default: break;
    }

    /* "gensim/models/word2vec_inner.pyx":992
 *             update_poincare_embedding_full_rsgd(&syn1neg[row2], g, &poincare_sim[size+1], size)
 *         # Update biases.
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             b0[word2_index] += g
 *             b1[target_index] += g
 */
    __pyx_t_4 = (__pyx_v_with_bias != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":993
 *         # Update biases.
 *         if with_bias:
 *             b0[word2_index] += g             # <<<<<<<<<<<<<<
 *             b1[target_index] += g
 * 
 */
      __pyx_t_6 = __pyx_v_word2_index;
      (__pyx_v_b0[__pyx_t_6]) = ((__pyx_v_b0[__pyx_t_6]) + __pyx_v_g);

      /* "gensim/models/word2vec_inner.pyx":994
 *         if with_bias:
 *             b0[word2_index] += g
 *             b1[target_index] += g             # <<<<<<<<<<<<<<
 * 
 *     # Add the gradient of the regularization term.
 */
      __pyx_t_6 = __pyx_v_target_index;
      (__pyx_v_b1[__pyx_t_6]) = ((__pyx_v_b1[__pyx_t_6]) + __pyx_v_g);

      /* "gensim/models/word2vec_inner.pyx":992
 *             update_poincare_embedding_full_rsgd(&syn1neg[row2], g, &poincare_sim[size+1], size)
 *         # Update biases.
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             b0[word2_index] += g
 *             b1[target_index] += g
 */
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":998
 *     # Add the gradient of the regularization term.
 *     # Update input embedding of word2.
 *     if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:             # <<<<<<<<<<<<<<
 *         update_poincare_embedding(&syn0[row1], word_locks[word2_index], work, size)
 *     elif optimizer == OptType.FullRSGD or optimizer == OptType.WeightedFullRSGD:
 */
  switch (__pyx_v_optimizer) {
    case __pyx_e_6gensim_6models_14word2vec_inner_RSGD:
    case __pyx_e_6gensim_6models_14word2vec_inner_WeightedRSGD:

    /* "gensim/models/word2vec_inner.pyx":999
 *     # Update input embedding of word2.
 *     if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:
 *         update_poincare_embedding(&syn0[row1], word_locks[word2_index], work, size)             # <<<<<<<<<<<<<<
 *     elif optimizer == OptType.FullRSGD or optimizer == OptType.WeightedFullRSGD:
 *         update_poincare_embedding_full_rsgd(&syn0[row1], word_locks[word2_index], work, size)
 */
    __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding((&(__pyx_v_syn0[__pyx_v_row1])), (__pyx_v_word_locks[__pyx_v_word2_index]), __pyx_v_work, __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":998
 *     # Add the gradient of the regularization term.
 *     # Update input embedding of word2.
 *     if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:             # <<<<<<<<<<<<<<
 *         update_poincare_embedding(&syn0[row1], word_locks[word2_index], work, size)
 *     elif optimizer == OptType.FullRSGD or optimizer == OptType.WeightedFullRSGD:
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":1000
 *     if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:
 *         update_poincare_embedding(&syn0[row1], word_locks[word2_index], work, size)
 *     elif optimizer == OptType.FullRSGD or optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *         update_poincare_embedding_full_rsgd(&syn0[row1], word_locks[word2_index], work, size)
 * 
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_FullRSGD:
    case __pyx_e_6gensim_6models_14word2vec_inner_WeightedFullRSGD:

    /* "gensim/models/word2vec_inner.pyx":1001
 *         update_poincare_embedding(&syn0[row1], word_locks[word2_index], work, size)
 *     elif optimizer == OptType.FullRSGD or optimizer == OptType.WeightedFullRSGD:
 *         update_poincare_embedding_full_rsgd(&syn0[row1], word_locks[word2_index], work, size)             # <<<<<<<<<<<<<<
 * 
 *     return next_random
 */
    __pyx_f_6gensim_6models_14word2vec_inner_update_poincare_embedding_full_rsgd((&(__pyx_v_syn0[__pyx_v_row1])), (__pyx_v_word_locks[__pyx_v_word2_index]), __pyx_v_work, __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":1000
 *     if optimizer == OptType.RSGD or optimizer == OptType.WeightedRSGD:
 *         update_poincare_embedding(&syn0[row1], word_locks[word2_index], work, size)
 *     elif optimizer == OptType.FullRSGD or optimizer == OptType.WeightedFullRSGD:             # <<<<<<<<<<<<<<
 *         update_poincare_embedding_full_rsgd(&syn0[row1], word_locks[word2_index], work, size)
 * 
 */
    break;
    default: break;
  }

  /* "gensim/models/word2vec_inner.pyx":1003
 *         update_poincare_embedding_full_rsgd(&syn0[row1], word_locks[word2_index], work, size)
 * 
 *     return next_random             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_next_random;
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":923
 * 
 * 
 * cdef unsigned long long fast_sentence_sg_poincare(             # <<<<<<<<<<<<<<
 *         const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *         DOUBLE_t *syn0, DOUBLE_t *syn1neg, DOUBLE_t *b0, DOUBLE_t *b1, const int size, const np.uint32_t word_index,
 */

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

/* "gensim/models/word2vec_inner.pyx":1006
 * 
 * 
 * cdef unsigned long long fast_sentence_sg_euclid(             # <<<<<<<<<<<<<<
 *         const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *         REAL_t *syn0, REAL_t *syn1neg, REAL_t *b0, REAL_t *b1, const int size, const np.uint32_t word_index,
 */

static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_euclid(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_b0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_b1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_word_index, __pyx_t_5numpy_uint32_t const __pyx_v_word2_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_word_locks, int const __pyx_v_normalized, int const __pyx_v__compute_loss, int const __pyx_v_with_bias, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__batch_training_loss_param, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__epoch_training_loss_param, int const __pyx_v_debug) {
  PY_LONG_LONG __pyx_v_row1;
  PY_LONG_LONG __pyx_v_row2;
  unsigned PY_LONG_LONG __pyx_v_modulo;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f_sim;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_diff[__pyx_v_size];
  __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;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_t_5;
  __pyx_t_5numpy_uint32_t __pyx_t_6;

  /* "gensim/models/word2vec_inner.pyx":1015
 * 
 *     cdef long long a
 *     cdef long long row1 = word2_index * size, row2             # <<<<<<<<<<<<<<
 *     cdef unsigned long long modulo = 281474976710655ULL
 *     cdef REAL_t f, g, label, f_sim
 */
  __pyx_v_row1 = (__pyx_v_word2_index * __pyx_v_size);

  /* "gensim/models/word2vec_inner.pyx":1016
 *     cdef long long a
 *     cdef long long row1 = word2_index * size, row2
 *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
 *     cdef REAL_t f, g, label, f_sim
 *     cdef REAL_t diff[size]
 */
  __pyx_v_modulo = 281474976710655ULL;

  /* "gensim/models/word2vec_inner.pyx":1022
 *     cdef int d
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 *     memset(diff, 0, size * cython.sizeof(REAL_t))
 * 
 */
  (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":1023
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 *     memset(diff, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 * 
 *     for d in range(negative+1):
 */
  (void)(memset(__pyx_v_diff, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":1025
 *     memset(diff, 0, size * cython.sizeof(REAL_t))
 * 
 *     for d in range(negative+1):             # <<<<<<<<<<<<<<
 *         if d == 0:
 *             target_index = word_index
 */
  __pyx_t_1 = (__pyx_v_negative + 1);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_d = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":1026
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *             label = ONEF
 */
    __pyx_t_4 = ((__pyx_v_d == 0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1027
 *     for d in range(negative+1):
 *         if d == 0:
 *             target_index = word_index             # <<<<<<<<<<<<<<
 *             label = ONEF
 *         else:
 */
      __pyx_v_target_index = __pyx_v_word_index;

      /* "gensim/models/word2vec_inner.pyx":1028
 *         if d == 0:
 *             target_index = word_index
 *             label = ONEF             # <<<<<<<<<<<<<<
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 */
      __pyx_v_label = __pyx_v_6gensim_6models_14word2vec_inner_ONEF;

      /* "gensim/models/word2vec_inner.pyx":1026
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *             label = ONEF
 */
      goto __pyx_L5;
    }

    /* "gensim/models/word2vec_inner.pyx":1030
 *             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/word2vec_inner.pyx":1031
 *         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/word2vec_inner.pyx":1032
 *             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/word2vec_inner.pyx":1033
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == word_index:
 *                 continue             # <<<<<<<<<<<<<<
 *             label = <REAL_t>0.0
 * 
 */
        goto __pyx_L3_continue;

        /* "gensim/models/word2vec_inner.pyx":1032
 *             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/word2vec_inner.pyx":1034
 *             if target_index == 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/word2vec_inner.pyx":1036
 *             label = <REAL_t>0.0
 * 
 *         row2 = target_index * size             # <<<<<<<<<<<<<<
 * 
 *         # Compute Euclidean distance between vectors.
 */
    __pyx_v_row2 = (__pyx_v_target_index * __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":1040
 *         # Compute Euclidean distance between vectors.
 *         # diff = v_word - v_word2
 *         scopy(&size, &syn1neg[row2], &ONE, diff, &ONE)             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &MINUS_ONEF, &syn0[row1], &ONE, diff, &ONE)
 *         # Similarity is -dist(v, v2)^2.
 */
    __pyx_v_6gensim_6models_14word2vec_inner_scopy((&__pyx_v_size), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_diff, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":1041
 *         # diff = v_word - v_word2
 *         scopy(&size, &syn1neg[row2], &ONE, diff, &ONE)
 *         our_saxpy(&size, &MINUS_ONEF, &syn0[row1], &ONE, diff, &ONE)             # <<<<<<<<<<<<<<
 *         # Similarity is -dist(v, v2)^2.
 *         f_sim = -our_dot(&size, diff, &ONE, diff, &ONE)
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_6gensim_6models_14word2vec_inner_MINUS_ONEF), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_diff, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":1043
 *         our_saxpy(&size, &MINUS_ONEF, &syn0[row1], &ONE, diff, &ONE)
 *         # Similarity is -dist(v, v2)^2.
 *         f_sim = -our_dot(&size, diff, &ONE, diff, &ONE)             # <<<<<<<<<<<<<<
 *         if with_bias:
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 */
    __pyx_v_f_sim = (-__pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_diff, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_diff, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE)));

    /* "gensim/models/word2vec_inner.pyx":1044
 *         # Similarity is -dist(v, v2)^2.
 *         f_sim = -our_dot(&size, diff, &ONE, diff, &ONE)
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 */
    __pyx_t_4 = (__pyx_v_with_bias != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1045
 *         f_sim = -our_dot(&size, diff, &ONE, diff, &ONE)
 *         if with_bias:
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]             # <<<<<<<<<<<<<<
 * 
 *         if f_sim >= MAX_EXP:
 */
      __pyx_v_f_sim = ((__pyx_v_f_sim + (__pyx_v_b0[__pyx_v_word2_index])) + (__pyx_v_b1[__pyx_v_target_index]));

      /* "gensim/models/word2vec_inner.pyx":1044
 *         # Similarity is -dist(v, v2)^2.
 *         f_sim = -our_dot(&size, diff, &ONE, diff, &ONE)
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 */
    }

    /* "gensim/models/word2vec_inner.pyx":1047
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 *         if f_sim >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:
 */
    __pyx_t_4 = ((__pyx_v_f_sim >= 6.0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1048
 * 
 *         if f_sim >= MAX_EXP:
 *             f = 1.0             # <<<<<<<<<<<<<<
 *         elif f_sim <= -MAX_EXP:
 *             f = 0.0
 */
      __pyx_v_f = 1.0;

      /* "gensim/models/word2vec_inner.pyx":1047
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 *         if f_sim >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:
 */
      goto __pyx_L8;
    }

    /* "gensim/models/word2vec_inner.pyx":1049
 *         if f_sim >= MAX_EXP:
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 0.0
 *         else:
 */
    __pyx_t_4 = ((__pyx_v_f_sim <= -6.0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1050
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:
 *             f = 0.0             # <<<<<<<<<<<<<<
 *         else:
 *             f = EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
      __pyx_v_f = 0.0;

      /* "gensim/models/word2vec_inner.pyx":1049
 *         if f_sim >= MAX_EXP:
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 0.0
 *         else:
 */
      goto __pyx_L8;
    }

    /* "gensim/models/word2vec_inner.pyx":1052
 *             f = 0.0
 *         else:
 *             f = EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *         g = (label - f) * alpha
 * 
 */
    /*else*/ {
      __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f_sim + 6.0) * 83.0))]);
    }
    __pyx_L8:;

    /* "gensim/models/word2vec_inner.pyx":1053
 *         else:
 *             f = EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha             # <<<<<<<<<<<<<<
 * 
 *         if _compute_loss == 1:
 */
    __pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);

    /* "gensim/models/word2vec_inner.pyx":1055
 *         g = (label - f) * alpha
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             f_sim = (f_sim if d == 0 else -f_sim)
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 */
    __pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1056
 * 
 *         if _compute_loss == 1:
 *             f_sim = (f_sim if d == 0 else -f_sim)             # <<<<<<<<<<<<<<
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 * 
 */
      if (((__pyx_v_d == 0) != 0)) {
        __pyx_t_5 = __pyx_v_f_sim;
      } else {
        __pyx_t_5 = (-__pyx_v_f_sim);
      }
      __pyx_v_f_sim = __pyx_t_5;

      /* "gensim/models/word2vec_inner.pyx":1057
 *         if _compute_loss == 1:
 *             f_sim = (f_sim if d == 0 else -f_sim)
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)             # <<<<<<<<<<<<<<
 * 
 *         # Accumulate value by which we will update the input embedding of word2.
 */
      __pyx_f_6gensim_6models_14word2vec_inner_compute_sgns_loss(__pyx_v_f_sim, __pyx_v__batch_training_loss_param, __pyx_v__epoch_training_loss_param);

      /* "gensim/models/word2vec_inner.pyx":1055
 *         g = (label - f) * alpha
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             f_sim = (f_sim if d == 0 else -f_sim)
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 */
    }

    /* "gensim/models/word2vec_inner.pyx":1061
 *         # Accumulate value by which we will update the input embedding of word2.
 *         # Multiply g by dS/dv_w2 i.e. 2 * diff (we drop the constant factor though).
 *         our_saxpy(&size, &g, diff, &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *         # Update output embeddings (for either word or one of the negative samples).
 *         # Multiply g by dS/dv_w or dS/dv_w_j i.e. 2 * (-diff) (we drop the constant factor though).
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_diff, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":1064
 *         # Update output embeddings (for either word or one of the negative samples).
 *         # Multiply g by dS/dv_w or dS/dv_w_j i.e. 2 * (-diff) (we drop the constant factor though).
 *         update_embedding(&syn1neg[row2], -g, diff, size, normalized, debug)             # <<<<<<<<<<<<<<
 *         # Update biases.
 *         if with_bias:
 */
    __pyx_f_6gensim_6models_14word2vec_inner_update_embedding((&(__pyx_v_syn1neg[__pyx_v_row2])), (-__pyx_v_g), __pyx_v_diff, __pyx_v_size, __pyx_v_normalized, __pyx_v_debug);

    /* "gensim/models/word2vec_inner.pyx":1066
 *         update_embedding(&syn1neg[row2], -g, diff, size, normalized, debug)
 *         # Update biases.
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             b0[word2_index] += g
 *             b1[target_index] += g
 */
    __pyx_t_4 = (__pyx_v_with_bias != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1067
 *         # Update biases.
 *         if with_bias:
 *             b0[word2_index] += g             # <<<<<<<<<<<<<<
 *             b1[target_index] += g
 * 
 */
      __pyx_t_6 = __pyx_v_word2_index;
      (__pyx_v_b0[__pyx_t_6]) = ((__pyx_v_b0[__pyx_t_6]) + __pyx_v_g);

      /* "gensim/models/word2vec_inner.pyx":1068
 *         if with_bias:
 *             b0[word2_index] += g
 *             b1[target_index] += g             # <<<<<<<<<<<<<<
 * 
 *     # Update input embedding of word2.
 */
      __pyx_t_6 = __pyx_v_target_index;
      (__pyx_v_b1[__pyx_t_6]) = ((__pyx_v_b1[__pyx_t_6]) + __pyx_v_g);

      /* "gensim/models/word2vec_inner.pyx":1066
 *         update_embedding(&syn1neg[row2], -g, diff, size, normalized, debug)
 *         # Update biases.
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             b0[word2_index] += g
 *             b1[target_index] += g
 */
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":1071
 * 
 *     # Update input embedding of word2.
 *     update_embedding(&syn0[row1], word_locks[word2_index], work, size, normalized, debug)             # <<<<<<<<<<<<<<
 * 
 *     return next_random
 */
  __pyx_f_6gensim_6models_14word2vec_inner_update_embedding((&(__pyx_v_syn0[__pyx_v_row1])), (__pyx_v_word_locks[__pyx_v_word2_index]), __pyx_v_work, __pyx_v_size, __pyx_v_normalized, __pyx_v_debug);

  /* "gensim/models/word2vec_inner.pyx":1073
 *     update_embedding(&syn0[row1], word_locks[word2_index], work, size, normalized, debug)
 * 
 *     return next_random             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_next_random;
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":1006
 * 
 * 
 * cdef unsigned long long fast_sentence_sg_euclid(             # <<<<<<<<<<<<<<
 *         const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *         REAL_t *syn0, REAL_t *syn1neg, REAL_t *b0, REAL_t *b1, const int size, const np.uint32_t word_index,
 */

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

/* "gensim/models/word2vec_inner.pyx":1076
 * 
 * 
 * cdef unsigned long long fast_sentence_nll_neg(             # <<<<<<<<<<<<<<
 *         const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *         REAL_t *syn0, REAL_t *syn1neg, REAL_t *b0, REAL_t *b1, REAL_t *Gsyn0, REAL_t *Gsyn1neg,
 */

static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_nll_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_b0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_b1, CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_Gsyn0, CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_Gsyn1neg, CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_Gb0, CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_Gb1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_word_index, __pyx_t_5numpy_uint32_t const __pyx_v_word2_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, enum __pyx_t_6gensim_6models_14word2vec_inner_OptType const __pyx_v_optimizer, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, unsigned PY_LONG_LONG __pyx_v_next_random, CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_word_locks, __pyx_t_5numpy_uint32_t const *__pyx_v_index2freq, int const __pyx_v_normalized, int const __pyx_v__compute_loss, int const __pyx_v_with_bias, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__batch_training_loss_param, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__epoch_training_loss_param, int const __pyx_v_debug) {
  PY_LONG_LONG __pyx_v_row1;
  PY_LONG_LONG __pyx_v_row2[(1 + __pyx_v_negative)];
  unsigned PY_LONG_LONG __pyx_v_modulo;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_gamma;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_gamma_coef;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_coef;
  __pyx_t_5numpy_uint32_t __pyx_v_target_index;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_adaptive_lr;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f_sim;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_grad[__pyx_v_size];
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_exp_terms[(1 + __pyx_v_negative)];
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_syn0_copy[__pyx_v_size];
  long __pyx_v_d;
  PY_LONG_LONG __pyx_v_idx;
  unsigned PY_LONG_LONG __pyx_r;
  long __pyx_t_1;
  long __pyx_t_2;
  long __pyx_t_3;
  int __pyx_t_4;
  PY_LONG_LONG __pyx_t_5;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_t_6;

  /* "gensim/models/word2vec_inner.pyx":1085
 *         REAL_t *_epoch_training_loss_param, const int debug) nogil:
 * 
 *     cdef long long row1 = word2_index * size             # <<<<<<<<<<<<<<
 *     cdef long long row2[1+negative]
 *     cdef unsigned long long modulo = 281474976710655ULL
 */
  __pyx_v_row1 = (__pyx_v_word2_index * __pyx_v_size);

  /* "gensim/models/word2vec_inner.pyx":1087
 *     cdef long long row1 = word2_index * size
 *     cdef long long row2[1+negative]
 *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
 *     cdef REAL_t gamma = 0, gamma_coef, coef
 *     cdef np.uint32_t target_index
 */
  __pyx_v_modulo = 281474976710655ULL;

  /* "gensim/models/word2vec_inner.pyx":1088
 *     cdef long long row2[1+negative]
 *     cdef unsigned long long modulo = 281474976710655ULL
 *     cdef REAL_t gamma = 0, gamma_coef, coef             # <<<<<<<<<<<<<<
 *     cdef np.uint32_t target_index
 *     cdef REAL_t adaptive_lr, f_sim
 */
  __pyx_v_gamma = 0.0;

  /* "gensim/models/word2vec_inner.pyx":1093
 *     cdef REAL_t grad[size], exp_terms[1+negative], syn0_copy[size]
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 *     scopy(&size, &syn0[row1], &ONE, syn0_copy, &ONE)
 * 
 */
  (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":1094
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 *     scopy(&size, &syn0[row1], &ONE, syn0_copy, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     for d in range(negative+1):
 */
  __pyx_v_6gensim_6models_14word2vec_inner_scopy((&__pyx_v_size), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_syn0_copy, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":1096
 *     scopy(&size, &syn0[row1], &ONE, syn0_copy, &ONE)
 * 
 *     for d in range(negative+1):             # <<<<<<<<<<<<<<
 *         if d == 0:
 *             target_index = word_index
 */
  __pyx_t_1 = (__pyx_v_negative + 1);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_d = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":1097
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *         else:
 */
    __pyx_t_4 = ((__pyx_v_d == 0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1098
 *     for d in range(negative+1):
 *         if d == 0:
 *             target_index = word_index             # <<<<<<<<<<<<<<
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 */
      __pyx_v_target_index = __pyx_v_word_index;

      /* "gensim/models/word2vec_inner.pyx":1097
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *         else:
 */
      goto __pyx_L5;
    }

    /* "gensim/models/word2vec_inner.pyx":1100
 *             target_index = word_index
 *         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/word2vec_inner.pyx":1101
 *         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:
 *                 row2[d] = -1
 */
      __pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);

      /* "gensim/models/word2vec_inner.pyx":1102
 *             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:             # <<<<<<<<<<<<<<
 *                 row2[d] = -1
 *                 continue
 */
      __pyx_t_4 = ((__pyx_v_target_index == __pyx_v_word_index) != 0);
      if (__pyx_t_4) {

        /* "gensim/models/word2vec_inner.pyx":1103
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == word_index:
 *                 row2[d] = -1             # <<<<<<<<<<<<<<
 *                 continue
 * 
 */
        (__pyx_v_row2[__pyx_v_d]) = -1LL;

        /* "gensim/models/word2vec_inner.pyx":1104
 *             if target_index == word_index:
 *                 row2[d] = -1
 *                 continue             # <<<<<<<<<<<<<<
 * 
 *         row2[d] = target_index * size
 */
        goto __pyx_L3_continue;

        /* "gensim/models/word2vec_inner.pyx":1102
 *             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:             # <<<<<<<<<<<<<<
 *                 row2[d] = -1
 *                 continue
 */
      }
    }
    __pyx_L5:;

    /* "gensim/models/word2vec_inner.pyx":1106
 *                 continue
 * 
 *         row2[d] = target_index * size             # <<<<<<<<<<<<<<
 * 
 *         # Compute dot product between vectors.
 */
    (__pyx_v_row2[__pyx_v_d]) = (__pyx_v_target_index * __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":1109
 * 
 *         # Compute dot product between vectors.
 *         f_sim = our_dot(&size, syn0_copy, &ONE, &syn1neg[row2[d]], &ONE)             # <<<<<<<<<<<<<<
 * 
 *         if with_bias:
 */
    __pyx_v_f_sim = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_syn0_copy, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":1111
 *         f_sim = our_dot(&size, syn0_copy, &ONE, &syn1neg[row2[d]], &ONE)
 * 
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             exp_terms[d] = exp(f_sim + b1[target_index])
 *         else:
 */
    __pyx_t_4 = (__pyx_v_with_bias != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1112
 * 
 *         if with_bias:
 *             exp_terms[d] = exp(f_sim + b1[target_index])             # <<<<<<<<<<<<<<
 *         else:
 *             exp_terms[d] = exp(f_sim)
 */
      (__pyx_v_exp_terms[__pyx_v_d]) = exp((__pyx_v_f_sim + (__pyx_v_b1[__pyx_v_target_index])));

      /* "gensim/models/word2vec_inner.pyx":1111
 *         f_sim = our_dot(&size, syn0_copy, &ONE, &syn1neg[row2[d]], &ONE)
 * 
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             exp_terms[d] = exp(f_sim + b1[target_index])
 *         else:
 */
      goto __pyx_L7;
    }

    /* "gensim/models/word2vec_inner.pyx":1114
 *             exp_terms[d] = exp(f_sim + b1[target_index])
 *         else:
 *             exp_terms[d] = exp(f_sim)             # <<<<<<<<<<<<<<
 *         gamma += exp_terms[d]
 * 
 */
    /*else*/ {
      (__pyx_v_exp_terms[__pyx_v_d]) = exp(__pyx_v_f_sim);
    }
    __pyx_L7:;

    /* "gensim/models/word2vec_inner.pyx":1115
 *         else:
 *             exp_terms[d] = exp(f_sim)
 *         gamma += exp_terms[d]             # <<<<<<<<<<<<<<
 * 
 *         saxpy(&size, &exp_terms[d], &syn1neg[row2[d]], &ONE, work, &ONE)
 */
    __pyx_v_gamma = (__pyx_v_gamma + (__pyx_v_exp_terms[__pyx_v_d]));

    /* "gensim/models/word2vec_inner.pyx":1117
 *         gamma += exp_terms[d]
 * 
 *         saxpy(&size, &exp_terms[d], &syn1neg[row2[d]], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 * 
 *     gamma_coef = - 1.0 / gamma
 */
    __pyx_v_6gensim_6models_14word2vec_inner_saxpy((&__pyx_v_size), (&(__pyx_v_exp_terms[__pyx_v_d])), (&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
    __pyx_L3_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":1119
 *         saxpy(&size, &exp_terms[d], &syn1neg[row2[d]], &ONE, work, &ONE)
 * 
 *     gamma_coef = - 1.0 / gamma             # <<<<<<<<<<<<<<
 *     # Gradient wrt w2.
 *     scopy(&size, &syn1neg[row2[0]], &ONE, grad, &ONE)
 */
  __pyx_v_gamma_coef = (-1.0 / __pyx_v_gamma);

  /* "gensim/models/word2vec_inner.pyx":1121
 *     gamma_coef = - 1.0 / gamma
 *     # Gradient wrt w2.
 *     scopy(&size, &syn1neg[row2[0]], &ONE, grad, &ONE)             # <<<<<<<<<<<<<<
 *     saxpy(&size, &gamma_coef, work, &ONE, grad, &ONE)
 *     # Update input embedding of word2.
 */
  __pyx_v_6gensim_6models_14word2vec_inner_scopy((&__pyx_v_size), (&(__pyx_v_syn1neg[(__pyx_v_row2[0])])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_grad, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":1122
 *     # Gradient wrt w2.
 *     scopy(&size, &syn1neg[row2[0]], &ONE, grad, &ONE)
 *     saxpy(&size, &gamma_coef, work, &ONE, grad, &ONE)             # <<<<<<<<<<<<<<
 *     # Update input embedding of word2.
 *     if optimizer == OptType.SGD:
 */
  __pyx_v_6gensim_6models_14word2vec_inner_saxpy((&__pyx_v_size), (&__pyx_v_gamma_coef), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_grad, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

  /* "gensim/models/word2vec_inner.pyx":1124
 *     saxpy(&size, &gamma_coef, work, &ONE, grad, &ONE)
 *     # Update input embedding of word2.
 *     if optimizer == OptType.SGD:             # <<<<<<<<<<<<<<
 *         update_embedding(&syn0[row1], alpha, grad, size, normalized, debug)
 *     elif optimizer == OptType.WSGD:
 */
  switch (__pyx_v_optimizer) {
    case __pyx_e_6gensim_6models_14word2vec_inner_SGD:

    /* "gensim/models/word2vec_inner.pyx":1125
 *     # Update input embedding of word2.
 *     if optimizer == OptType.SGD:
 *         update_embedding(&syn0[row1], alpha, grad, size, normalized, debug)             # <<<<<<<<<<<<<<
 *     elif optimizer == OptType.WSGD:
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 */
    __pyx_f_6gensim_6models_14word2vec_inner_update_embedding((&(__pyx_v_syn0[__pyx_v_row1])), __pyx_v_alpha, __pyx_v_grad, __pyx_v_size, __pyx_v_normalized, __pyx_v_debug);

    /* "gensim/models/word2vec_inner.pyx":1124
 *     saxpy(&size, &gamma_coef, work, &ONE, grad, &ONE)
 *     # Update input embedding of word2.
 *     if optimizer == OptType.SGD:             # <<<<<<<<<<<<<<
 *         update_embedding(&syn0[row1], alpha, grad, size, normalized, debug)
 *     elif optimizer == OptType.WSGD:
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":1126
 *     if optimizer == OptType.SGD:
 *         update_embedding(&syn0[row1], alpha, grad, size, normalized, debug)
 *     elif optimizer == OptType.WSGD:             # <<<<<<<<<<<<<<
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_embedding(&syn0[row1], adaptive_lr, grad, size, normalized, debug)
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_WSGD:

    /* "gensim/models/word2vec_inner.pyx":1127
 *         update_embedding(&syn0[row1], alpha, grad, size, normalized, debug)
 *     elif optimizer == OptType.WSGD:
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)             # <<<<<<<<<<<<<<
 *         update_embedding(&syn0[row1], adaptive_lr, grad, size, normalized, debug)
 * 
 */
    __pyx_v_adaptive_lr = (__pyx_v_alpha / sqrt(((__pyx_v_index2freq[__pyx_v_word2_index]) / 100.0)));

    /* "gensim/models/word2vec_inner.pyx":1128
 *     elif optimizer == OptType.WSGD:
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_embedding(&syn0[row1], adaptive_lr, grad, size, normalized, debug)             # <<<<<<<<<<<<<<
 * 
 *     # Update output embedding for the target context w (i.e. d==0) and for the negative samples w_j.
 */
    __pyx_f_6gensim_6models_14word2vec_inner_update_embedding((&(__pyx_v_syn0[__pyx_v_row1])), __pyx_v_adaptive_lr, __pyx_v_grad, __pyx_v_size, __pyx_v_normalized, __pyx_v_debug);

    /* "gensim/models/word2vec_inner.pyx":1126
 *     if optimizer == OptType.SGD:
 *         update_embedding(&syn0[row1], alpha, grad, size, normalized, debug)
 *     elif optimizer == OptType.WSGD:             # <<<<<<<<<<<<<<
 *         adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *         update_embedding(&syn0[row1], adaptive_lr, grad, size, normalized, debug)
 */
    break;
    default: break;
  }

  /* "gensim/models/word2vec_inner.pyx":1131
 * 
 *     # Update output embedding for the target context w (i.e. d==0) and for the negative samples w_j.
 *     for d in range(negative+1):             # <<<<<<<<<<<<<<
 *         if row2[d] == -1:
 *             continue
 */
  __pyx_t_1 = (__pyx_v_negative + 1);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_d = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":1132
 *     # Update output embedding for the target context w (i.e. d==0) and for the negative samples w_j.
 *     for d in range(negative+1):
 *         if row2[d] == -1:             # <<<<<<<<<<<<<<
 *             continue
 *         idx = word_index if d == 0 else row2[d] / size
 */
    __pyx_t_4 = (((__pyx_v_row2[__pyx_v_d]) == -1LL) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1133
 *     for d in range(negative+1):
 *         if row2[d] == -1:
 *             continue             # <<<<<<<<<<<<<<
 *         idx = word_index if d == 0 else row2[d] / size
 *         coef = (1 + gamma_coef * exp_terms[d]) if d == 0 else gamma_coef * exp_terms[d]
 */
      goto __pyx_L8_continue;

      /* "gensim/models/word2vec_inner.pyx":1132
 *     # Update output embedding for the target context w (i.e. d==0) and for the negative samples w_j.
 *     for d in range(negative+1):
 *         if row2[d] == -1:             # <<<<<<<<<<<<<<
 *             continue
 *         idx = word_index if d == 0 else row2[d] / size
 */
    }

    /* "gensim/models/word2vec_inner.pyx":1134
 *         if row2[d] == -1:
 *             continue
 *         idx = word_index if d == 0 else row2[d] / size             # <<<<<<<<<<<<<<
 *         coef = (1 + gamma_coef * exp_terms[d]) if d == 0 else gamma_coef * exp_terms[d]
 *         adaptive_lr = alpha / sqrt(index2freq[idx] / 100.0)
 */
    if (((__pyx_v_d == 0) != 0)) {
      __pyx_t_5 = __pyx_v_word_index;
    } else {
      __pyx_t_5 = ((__pyx_v_row2[__pyx_v_d]) / __pyx_v_size);
    }
    __pyx_v_idx = __pyx_t_5;

    /* "gensim/models/word2vec_inner.pyx":1135
 *             continue
 *         idx = word_index if d == 0 else row2[d] / size
 *         coef = (1 + gamma_coef * exp_terms[d]) if d == 0 else gamma_coef * exp_terms[d]             # <<<<<<<<<<<<<<
 *         adaptive_lr = alpha / sqrt(index2freq[idx] / 100.0)
 *         # Gradient wrt w/w_j.
 */
    if (((__pyx_v_d == 0) != 0)) {
      __pyx_t_6 = (1.0 + (__pyx_v_gamma_coef * (__pyx_v_exp_terms[__pyx_v_d])));
    } else {
      __pyx_t_6 = (__pyx_v_gamma_coef * (__pyx_v_exp_terms[__pyx_v_d]));
    }
    __pyx_v_coef = __pyx_t_6;

    /* "gensim/models/word2vec_inner.pyx":1136
 *         idx = word_index if d == 0 else row2[d] / size
 *         coef = (1 + gamma_coef * exp_terms[d]) if d == 0 else gamma_coef * exp_terms[d]
 *         adaptive_lr = alpha / sqrt(index2freq[idx] / 100.0)             # <<<<<<<<<<<<<<
 *         # Gradient wrt w/w_j.
 *         if optimizer == OptType.SGD:
 */
    __pyx_v_adaptive_lr = (__pyx_v_alpha / sqrt(((__pyx_v_index2freq[__pyx_v_idx]) / 100.0)));

    /* "gensim/models/word2vec_inner.pyx":1138
 *         adaptive_lr = alpha / sqrt(index2freq[idx] / 100.0)
 *         # Gradient wrt w/w_j.
 *         if optimizer == OptType.SGD:             # <<<<<<<<<<<<<<
 *             update_embedding(&syn1neg[row2[d]], alpha * coef, syn0_copy, size, normalized, debug)
 *         elif optimizer == OptType.WSGD:
 */
    switch (__pyx_v_optimizer) {
      case __pyx_e_6gensim_6models_14word2vec_inner_SGD:

      /* "gensim/models/word2vec_inner.pyx":1139
 *         # Gradient wrt w/w_j.
 *         if optimizer == OptType.SGD:
 *             update_embedding(&syn1neg[row2[d]], alpha * coef, syn0_copy, size, normalized, debug)             # <<<<<<<<<<<<<<
 *         elif optimizer == OptType.WSGD:
 *             update_embedding(&syn1neg[row2[d]], adaptive_lr * coef, syn0_copy, size, normalized, debug)
 */
      __pyx_f_6gensim_6models_14word2vec_inner_update_embedding((&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), (__pyx_v_alpha * __pyx_v_coef), __pyx_v_syn0_copy, __pyx_v_size, __pyx_v_normalized, __pyx_v_debug);

      /* "gensim/models/word2vec_inner.pyx":1138
 *         adaptive_lr = alpha / sqrt(index2freq[idx] / 100.0)
 *         # Gradient wrt w/w_j.
 *         if optimizer == OptType.SGD:             # <<<<<<<<<<<<<<
 *             update_embedding(&syn1neg[row2[d]], alpha * coef, syn0_copy, size, normalized, debug)
 *         elif optimizer == OptType.WSGD:
 */
      break;

      /* "gensim/models/word2vec_inner.pyx":1140
 *         if optimizer == OptType.SGD:
 *             update_embedding(&syn1neg[row2[d]], alpha * coef, syn0_copy, size, normalized, debug)
 *         elif optimizer == OptType.WSGD:             # <<<<<<<<<<<<<<
 *             update_embedding(&syn1neg[row2[d]], adaptive_lr * coef, syn0_copy, size, normalized, debug)
 * 
 */
      case __pyx_e_6gensim_6models_14word2vec_inner_WSGD:

      /* "gensim/models/word2vec_inner.pyx":1141
 *             update_embedding(&syn1neg[row2[d]], alpha * coef, syn0_copy, size, normalized, debug)
 *         elif optimizer == OptType.WSGD:
 *             update_embedding(&syn1neg[row2[d]], adaptive_lr * coef, syn0_copy, size, normalized, debug)             # <<<<<<<<<<<<<<
 * 
 *         if with_bias:
 */
      __pyx_f_6gensim_6models_14word2vec_inner_update_embedding((&(__pyx_v_syn1neg[(__pyx_v_row2[__pyx_v_d])])), (__pyx_v_adaptive_lr * __pyx_v_coef), __pyx_v_syn0_copy, __pyx_v_size, __pyx_v_normalized, __pyx_v_debug);

      /* "gensim/models/word2vec_inner.pyx":1140
 *         if optimizer == OptType.SGD:
 *             update_embedding(&syn1neg[row2[d]], alpha * coef, syn0_copy, size, normalized, debug)
 *         elif optimizer == OptType.WSGD:             # <<<<<<<<<<<<<<
 *             update_embedding(&syn1neg[row2[d]], adaptive_lr * coef, syn0_copy, size, normalized, debug)
 * 
 */
      break;
      default: break;
    }

    /* "gensim/models/word2vec_inner.pyx":1143
 *             update_embedding(&syn1neg[row2[d]], adaptive_lr * coef, syn0_copy, size, normalized, debug)
 * 
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             if optimizer == OptType.SGD:
 *                 b1[idx] += alpha * coef
 */
    __pyx_t_4 = (__pyx_v_with_bias != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1144
 * 
 *         if with_bias:
 *             if optimizer == OptType.SGD:             # <<<<<<<<<<<<<<
 *                 b1[idx] += alpha * coef
 *             elif optimizer == OptType.WSGD:
 */
      switch (__pyx_v_optimizer) {
        case __pyx_e_6gensim_6models_14word2vec_inner_SGD:

        /* "gensim/models/word2vec_inner.pyx":1145
 *         if with_bias:
 *             if optimizer == OptType.SGD:
 *                 b1[idx] += alpha * coef             # <<<<<<<<<<<<<<
 *             elif optimizer == OptType.WSGD:
 *                 b1[idx] += adaptive_lr * coef
 */
        __pyx_t_5 = __pyx_v_idx;
        (__pyx_v_b1[__pyx_t_5]) = ((__pyx_v_b1[__pyx_t_5]) + (__pyx_v_alpha * __pyx_v_coef));

        /* "gensim/models/word2vec_inner.pyx":1144
 * 
 *         if with_bias:
 *             if optimizer == OptType.SGD:             # <<<<<<<<<<<<<<
 *                 b1[idx] += alpha * coef
 *             elif optimizer == OptType.WSGD:
 */
        break;

        /* "gensim/models/word2vec_inner.pyx":1146
 *             if optimizer == OptType.SGD:
 *                 b1[idx] += alpha * coef
 *             elif optimizer == OptType.WSGD:             # <<<<<<<<<<<<<<
 *                 b1[idx] += adaptive_lr * coef
 * 
 */
        case __pyx_e_6gensim_6models_14word2vec_inner_WSGD:

        /* "gensim/models/word2vec_inner.pyx":1147
 *                 b1[idx] += alpha * coef
 *             elif optimizer == OptType.WSGD:
 *                 b1[idx] += adaptive_lr * coef             # <<<<<<<<<<<<<<
 * 
 *     if _compute_loss == 1:
 */
        __pyx_t_5 = __pyx_v_idx;
        (__pyx_v_b1[__pyx_t_5]) = ((__pyx_v_b1[__pyx_t_5]) + (__pyx_v_adaptive_lr * __pyx_v_coef));

        /* "gensim/models/word2vec_inner.pyx":1146
 *             if optimizer == OptType.SGD:
 *                 b1[idx] += alpha * coef
 *             elif optimizer == OptType.WSGD:             # <<<<<<<<<<<<<<
 *                 b1[idx] += adaptive_lr * coef
 * 
 */
        break;
        default: break;
      }

      /* "gensim/models/word2vec_inner.pyx":1143
 *             update_embedding(&syn1neg[row2[d]], adaptive_lr * coef, syn0_copy, size, normalized, debug)
 * 
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             if optimizer == OptType.SGD:
 *                 b1[idx] += alpha * coef
 */
    }
    __pyx_L8_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":1149
 *                 b1[idx] += adaptive_lr * coef
 * 
 *     if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *         coef = log(exp_terms[0]) - log(gamma)
 *         _batch_training_loss_param[0] -= coef
 */
  __pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
  if (__pyx_t_4) {

    /* "gensim/models/word2vec_inner.pyx":1150
 * 
 *     if _compute_loss == 1:
 *         coef = log(exp_terms[0]) - log(gamma)             # <<<<<<<<<<<<<<
 *         _batch_training_loss_param[0] -= coef
 *         _epoch_training_loss_param[0] -= coef
 */
    __pyx_v_coef = (log((__pyx_v_exp_terms[0])) - log(__pyx_v_gamma));

    /* "gensim/models/word2vec_inner.pyx":1151
 *     if _compute_loss == 1:
 *         coef = log(exp_terms[0]) - log(gamma)
 *         _batch_training_loss_param[0] -= coef             # <<<<<<<<<<<<<<
 *         _epoch_training_loss_param[0] -= coef
 * 
 */
    __pyx_t_1 = 0;
    (__pyx_v__batch_training_loss_param[__pyx_t_1]) = ((__pyx_v__batch_training_loss_param[__pyx_t_1]) - __pyx_v_coef);

    /* "gensim/models/word2vec_inner.pyx":1152
 *         coef = log(exp_terms[0]) - log(gamma)
 *         _batch_training_loss_param[0] -= coef
 *         _epoch_training_loss_param[0] -= coef             # <<<<<<<<<<<<<<
 * 
 *     return next_random
 */
    __pyx_t_1 = 0;
    (__pyx_v__epoch_training_loss_param[__pyx_t_1]) = ((__pyx_v__epoch_training_loss_param[__pyx_t_1]) - __pyx_v_coef);

    /* "gensim/models/word2vec_inner.pyx":1149
 *                 b1[idx] += adaptive_lr * coef
 * 
 *     if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *         coef = log(exp_terms[0]) - log(gamma)
 *         _batch_training_loss_param[0] -= coef
 */
  }

  /* "gensim/models/word2vec_inner.pyx":1154
 *         _epoch_training_loss_param[0] -= coef
 * 
 *     return next_random             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_next_random;
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":1076
 * 
 * 
 * cdef unsigned long long fast_sentence_nll_neg(             # <<<<<<<<<<<<<<
 *         const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *         REAL_t *syn0, REAL_t *syn1neg, REAL_t *b0, REAL_t *b1, REAL_t *Gsyn0, REAL_t *Gsyn1neg,
 */

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

/* "gensim/models/word2vec_inner.pyx":1157
 * 
 * 
 * cdef unsigned long long fast_sentence_sg_neg(             # <<<<<<<<<<<<<<
 *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *     REAL_t *syn0, REAL_t *syn1neg, REAL_t *b0, REAL_t *b1, REAL_t *Gsyn0, REAL_t *Gsyn1neg,
 */

static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_b0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_b1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_Gsyn0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_Gsyn1neg, CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_Gb0, CYTHON_UNUSED __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_Gb1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_word_index, __pyx_t_5numpy_uint32_t const __pyx_v_word2_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, enum __pyx_t_6gensim_6models_14word2vec_inner_OptType __pyx_v_optimizer, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_word_locks, __pyx_t_5numpy_uint32_t const *__pyx_v_index2freq, int const __pyx_v_normalized, int const __pyx_v__compute_loss, int const __pyx_v_with_bias, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__batch_training_loss_param, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__epoch_training_loss_param, int const __pyx_v_debug) {
  PY_LONG_LONG __pyx_v_row1;
  PY_LONG_LONG __pyx_v_row2;
  unsigned PY_LONG_LONG __pyx_v_modulo;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f_sim;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_adaptive_lr;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_coef_old;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_coef_curr;
  __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;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_t_5;
  __pyx_t_5numpy_uint32_t __pyx_t_6;

  /* "gensim/models/word2vec_inner.pyx":1167
 * 
 *     cdef long long a
 *     cdef long long row1 = word2_index * size, row2             # <<<<<<<<<<<<<<
 *     cdef unsigned long long modulo = 281474976710655ULL
 *     cdef REAL_t f, g, label, f_sim, adaptive_lr, coef_old=0.9, coef_curr = 1.0-coef_old
 */
  __pyx_v_row1 = (__pyx_v_word2_index * __pyx_v_size);

  /* "gensim/models/word2vec_inner.pyx":1168
 *     cdef long long a
 *     cdef long long row1 = word2_index * size, row2
 *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
 *     cdef REAL_t f, g, label, f_sim, adaptive_lr, coef_old=0.9, coef_curr = 1.0-coef_old
 *     cdef np.uint32_t target_index
 */
  __pyx_v_modulo = 281474976710655ULL;

  /* "gensim/models/word2vec_inner.pyx":1169
 *     cdef long long row1 = word2_index * size, row2
 *     cdef unsigned long long modulo = 281474976710655ULL
 *     cdef REAL_t f, g, label, f_sim, adaptive_lr, coef_old=0.9, coef_curr = 1.0-coef_old             # <<<<<<<<<<<<<<
 *     cdef np.uint32_t target_index
 *     cdef int d
 */
  __pyx_v_coef_old = 0.9;
  __pyx_v_coef_curr = (1.0 - __pyx_v_coef_old);

  /* "gensim/models/word2vec_inner.pyx":1173
 *     cdef int d
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 * 
 *     for d in range(negative+1):
 */
  (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":1175
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 * 
 *     for d in range(negative+1):             # <<<<<<<<<<<<<<
 *         if d == 0:
 *             target_index = word_index
 */
  __pyx_t_1 = (__pyx_v_negative + 1);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_d = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":1176
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *             label = ONEF
 */
    __pyx_t_4 = ((__pyx_v_d == 0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1177
 *     for d in range(negative+1):
 *         if d == 0:
 *             target_index = word_index             # <<<<<<<<<<<<<<
 *             label = ONEF
 *         else:
 */
      __pyx_v_target_index = __pyx_v_word_index;

      /* "gensim/models/word2vec_inner.pyx":1178
 *         if d == 0:
 *             target_index = word_index
 *             label = ONEF             # <<<<<<<<<<<<<<
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 */
      __pyx_v_label = __pyx_v_6gensim_6models_14word2vec_inner_ONEF;

      /* "gensim/models/word2vec_inner.pyx":1176
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *             label = ONEF
 */
      goto __pyx_L5;
    }

    /* "gensim/models/word2vec_inner.pyx":1180
 *             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/word2vec_inner.pyx":1181
 *         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/word2vec_inner.pyx":1182
 *             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/word2vec_inner.pyx":1183
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == word_index:
 *                 continue             # <<<<<<<<<<<<<<
 *             label = <REAL_t>0.0
 * 
 */
        goto __pyx_L3_continue;

        /* "gensim/models/word2vec_inner.pyx":1182
 *             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/word2vec_inner.pyx":1184
 *             if target_index == 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/word2vec_inner.pyx":1186
 *             label = <REAL_t>0.0
 * 
 *         row2 = target_index * size             # <<<<<<<<<<<<<<
 *         f_sim = our_dot(&size, &syn0[row1], &ONE, &syn1neg[row2], &ONE)
 *         if with_bias:
 */
    __pyx_v_row2 = (__pyx_v_target_index * __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":1187
 * 
 *         row2 = target_index * size
 *         f_sim = our_dot(&size, &syn0[row1], &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
 *         if with_bias:
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 */
    __pyx_v_f_sim = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":1188
 *         row2 = target_index * size
 *         f_sim = our_dot(&size, &syn0[row1], &ONE, &syn1neg[row2], &ONE)
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 */
    __pyx_t_4 = (__pyx_v_with_bias != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1189
 *         f_sim = our_dot(&size, &syn0[row1], &ONE, &syn1neg[row2], &ONE)
 *         if with_bias:
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]             # <<<<<<<<<<<<<<
 * 
 *         if f_sim >= MAX_EXP:
 */
      __pyx_v_f_sim = ((__pyx_v_f_sim + (__pyx_v_b0[__pyx_v_word2_index])) + (__pyx_v_b1[__pyx_v_target_index]));

      /* "gensim/models/word2vec_inner.pyx":1188
 *         row2 = target_index * size
 *         f_sim = our_dot(&size, &syn0[row1], &ONE, &syn1neg[row2], &ONE)
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 */
    }

    /* "gensim/models/word2vec_inner.pyx":1191
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 *         if f_sim >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:
 */
    __pyx_t_4 = ((__pyx_v_f_sim >= 6.0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1192
 * 
 *         if f_sim >= MAX_EXP:
 *             f = 1.0             # <<<<<<<<<<<<<<
 *         elif f_sim <= -MAX_EXP:
 *             f = 0.0
 */
      __pyx_v_f = 1.0;

      /* "gensim/models/word2vec_inner.pyx":1191
 *             f_sim = f_sim + b0[word2_index] + b1[target_index]
 * 
 *         if f_sim >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:
 */
      goto __pyx_L8;
    }

    /* "gensim/models/word2vec_inner.pyx":1193
 *         if f_sim >= MAX_EXP:
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 0.0
 *         else:
 */
    __pyx_t_4 = ((__pyx_v_f_sim <= -6.0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1194
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:
 *             f = 0.0             # <<<<<<<<<<<<<<
 *         else:
 *             f = EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
      __pyx_v_f = 0.0;

      /* "gensim/models/word2vec_inner.pyx":1193
 *         if f_sim >= MAX_EXP:
 *             f = 1.0
 *         elif f_sim <= -MAX_EXP:             # <<<<<<<<<<<<<<
 *             f = 0.0
 *         else:
 */
      goto __pyx_L8;
    }

    /* "gensim/models/word2vec_inner.pyx":1196
 *             f = 0.0
 *         else:
 *             f = EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 * 
 *         if _compute_loss == 1:
 */
    /*else*/ {
      __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f_sim + 6.0) * 83.0))]);
    }
    __pyx_L8:;

    /* "gensim/models/word2vec_inner.pyx":1198
 *             f = EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             f_sim = (f_sim if d == 0 else -f_sim)
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 */
    __pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1199
 * 
 *         if _compute_loss == 1:
 *             f_sim = (f_sim if d == 0 else -f_sim)             # <<<<<<<<<<<<<<
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 * 
 */
      if (((__pyx_v_d == 0) != 0)) {
        __pyx_t_5 = __pyx_v_f_sim;
      } else {
        __pyx_t_5 = (-__pyx_v_f_sim);
      }
      __pyx_v_f_sim = __pyx_t_5;

      /* "gensim/models/word2vec_inner.pyx":1200
 *         if _compute_loss == 1:
 *             f_sim = (f_sim if d == 0 else -f_sim)
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)             # <<<<<<<<<<<<<<
 * 
 *         g = (label - f) * alpha
 */
      __pyx_f_6gensim_6models_14word2vec_inner_compute_sgns_loss(__pyx_v_f_sim, __pyx_v__batch_training_loss_param, __pyx_v__epoch_training_loss_param);

      /* "gensim/models/word2vec_inner.pyx":1198
 *             f = EXP_TABLE[<int>((f_sim + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             f_sim = (f_sim if d == 0 else -f_sim)
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 */
    }

    /* "gensim/models/word2vec_inner.pyx":1202
 *             compute_sgns_loss(f_sim, _batch_training_loss_param, _epoch_training_loss_param)
 * 
 *         g = (label - f) * alpha             # <<<<<<<<<<<<<<
 * 
 *         if optimizer == OptType.SGD:
 */
    __pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);

    /* "gensim/models/word2vec_inner.pyx":1204
 *         g = (label - f) * alpha
 * 
 *         if optimizer == OptType.SGD:             # <<<<<<<<<<<<<<
 *             # Accumulate value by which we will update the input embeddings.
 *             our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 */
    switch (__pyx_v_optimizer) {
      case __pyx_e_6gensim_6models_14word2vec_inner_SGD:

      /* "gensim/models/word2vec_inner.pyx":1206
 *         if optimizer == OptType.SGD:
 *             # Accumulate value by which we will update the input embeddings.
 *             our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *             # Update output embedding.
 *             update_embedding(&syn1neg[row2], g, &syn0[row1], size, normalized, debug)
 */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

      /* "gensim/models/word2vec_inner.pyx":1208
 *             our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *             # Update output embedding.
 *             update_embedding(&syn1neg[row2], g, &syn0[row1], size, normalized, debug)             # <<<<<<<<<<<<<<
 *         elif optimizer == OptType.WSGD:
 *             adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 */
      __pyx_f_6gensim_6models_14word2vec_inner_update_embedding((&(__pyx_v_syn1neg[__pyx_v_row2])), __pyx_v_g, (&(__pyx_v_syn0[__pyx_v_row1])), __pyx_v_size, __pyx_v_normalized, __pyx_v_debug);

      /* "gensim/models/word2vec_inner.pyx":1204
 *         g = (label - f) * alpha
 * 
 *         if optimizer == OptType.SGD:             # <<<<<<<<<<<<<<
 *             # Accumulate value by which we will update the input embeddings.
 *             our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 */
      break;

      /* "gensim/models/word2vec_inner.pyx":1209
 *             # Update output embedding.
 *             update_embedding(&syn1neg[row2], g, &syn0[row1], size, normalized, debug)
 *         elif optimizer == OptType.WSGD:             # <<<<<<<<<<<<<<
 *             adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *             g = (label - f) * adaptive_lr
 */
      case __pyx_e_6gensim_6models_14word2vec_inner_WSGD:

      /* "gensim/models/word2vec_inner.pyx":1210
 *             update_embedding(&syn1neg[row2], g, &syn0[row1], size, normalized, debug)
 *         elif optimizer == OptType.WSGD:
 *             adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)             # <<<<<<<<<<<<<<
 *             g = (label - f) * adaptive_lr
 * 
 */
      __pyx_v_adaptive_lr = (__pyx_v_alpha / sqrt(((__pyx_v_index2freq[__pyx_v_word2_index]) / 100.0)));

      /* "gensim/models/word2vec_inner.pyx":1211
 *         elif optimizer == OptType.WSGD:
 *             adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *             g = (label - f) * adaptive_lr             # <<<<<<<<<<<<<<
 * 
 *             # Accumulate value by which we will update the input embeddings.
 */
      __pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_adaptive_lr);

      /* "gensim/models/word2vec_inner.pyx":1214
 * 
 *             # Accumulate value by which we will update the input embeddings.
 *             our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *             # Update output embedding.
 *             update_embedding(&syn1neg[row2], g, &syn0[row1], size, normalized, debug)
 */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

      /* "gensim/models/word2vec_inner.pyx":1216
 *             our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *             # Update output embedding.
 *             update_embedding(&syn1neg[row2], g, &syn0[row1], size, normalized, debug)             # <<<<<<<<<<<<<<
 *         elif optimizer == OptType.RMSprop:
 *             # XXX: This is only a modified version of RMSprop, where we use the same lr for one embedding,
 */
      __pyx_f_6gensim_6models_14word2vec_inner_update_embedding((&(__pyx_v_syn1neg[__pyx_v_row2])), __pyx_v_g, (&(__pyx_v_syn0[__pyx_v_row1])), __pyx_v_size, __pyx_v_normalized, __pyx_v_debug);

      /* "gensim/models/word2vec_inner.pyx":1209
 *             # Update output embedding.
 *             update_embedding(&syn1neg[row2], g, &syn0[row1], size, normalized, debug)
 *         elif optimizer == OptType.WSGD:             # <<<<<<<<<<<<<<
 *             adaptive_lr = alpha / sqrt(index2freq[word2_index] / 100.0)
 *             g = (label - f) * adaptive_lr
 */
      break;

      /* "gensim/models/word2vec_inner.pyx":1217
 *             # Update output embedding.
 *             update_embedding(&syn1neg[row2], g, &syn0[row1], size, normalized, debug)
 *         elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *             # XXX: This is only a modified version of RMSprop, where we use the same lr for one embedding,
 *             # not a different lr for each of the elements of an embedding.
 */
      case __pyx_e_6gensim_6models_14word2vec_inner_RMSprop:

      /* "gensim/models/word2vec_inner.pyx":1220
 *             # XXX: This is only a modified version of RMSprop, where we use the same lr for one embedding,
 *             # not a different lr for each of the elements of an embedding.
 *             g = label - f             # <<<<<<<<<<<<<<
 *             Gsyn1neg[row2] = coef_old * Gsyn1neg[row2] + coef_curr * g * g * dsdot(&size, &syn0[row1], &ONE, &syn0[row1], &ONE) + 1e-15
 *             adaptive_lr = alpha / sqrt(Gsyn1neg[row2])
 */
      __pyx_v_g = (__pyx_v_label - __pyx_v_f);

      /* "gensim/models/word2vec_inner.pyx":1221
 *             # not a different lr for each of the elements of an embedding.
 *             g = label - f
 *             Gsyn1neg[row2] = coef_old * Gsyn1neg[row2] + coef_curr * g * g * dsdot(&size, &syn0[row1], &ONE, &syn0[row1], &ONE) + 1e-15             # <<<<<<<<<<<<<<
 *             adaptive_lr = alpha / sqrt(Gsyn1neg[row2])
 * 
 */
      (__pyx_v_Gsyn1neg[__pyx_v_row2]) = (((__pyx_v_coef_old * (__pyx_v_Gsyn1neg[__pyx_v_row2])) + (((__pyx_v_coef_curr * __pyx_v_g) * __pyx_v_g) * __pyx_v_6gensim_6models_14word2vec_inner_dsdot((&__pyx_v_size), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn0[__pyx_v_row1])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE)))) + 1e-15);

      /* "gensim/models/word2vec_inner.pyx":1222
 *             g = label - f
 *             Gsyn1neg[row2] = coef_old * Gsyn1neg[row2] + coef_curr * g * g * dsdot(&size, &syn0[row1], &ONE, &syn0[row1], &ONE) + 1e-15
 *             adaptive_lr = alpha / sqrt(Gsyn1neg[row2])             # <<<<<<<<<<<<<<
 * 
 *             # Accumulate value by which we will update the input embeddings.
 */
      __pyx_v_adaptive_lr = (__pyx_v_alpha / sqrt((__pyx_v_Gsyn1neg[__pyx_v_row2])));

      /* "gensim/models/word2vec_inner.pyx":1225
 * 
 *             # Accumulate value by which we will update the input embeddings.
 *             our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *             # Update output embedding.
 *             update_embedding(&syn1neg[row2], adaptive_lr * g, &syn0[row1], size, normalized, debug)
 */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

      /* "gensim/models/word2vec_inner.pyx":1227
 *             our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
 *             # Update output embedding.
 *             update_embedding(&syn1neg[row2], adaptive_lr * g, &syn0[row1], size, normalized, debug)             # <<<<<<<<<<<<<<
 * 
 *         # Update biases.
 */
      __pyx_f_6gensim_6models_14word2vec_inner_update_embedding((&(__pyx_v_syn1neg[__pyx_v_row2])), (__pyx_v_adaptive_lr * __pyx_v_g), (&(__pyx_v_syn0[__pyx_v_row1])), __pyx_v_size, __pyx_v_normalized, __pyx_v_debug);

      /* "gensim/models/word2vec_inner.pyx":1217
 *             # Update output embedding.
 *             update_embedding(&syn1neg[row2], g, &syn0[row1], size, normalized, debug)
 *         elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *             # XXX: This is only a modified version of RMSprop, where we use the same lr for one embedding,
 *             # not a different lr for each of the elements of an embedding.
 */
      break;
      default: break;
    }

    /* "gensim/models/word2vec_inner.pyx":1230
 * 
 *         # Update biases.
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             # TODO: use adaptive_lr for RMSprop for biases
 *             if optimizer != SGD:
 */
    __pyx_t_4 = (__pyx_v_with_bias != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1232
 *         if with_bias:
 *             # TODO: use adaptive_lr for RMSprop for biases
 *             if optimizer != SGD:             # <<<<<<<<<<<<<<
 *                 printf("Biases are currently only supported with SGD\n")
 *                 exit(-1)
 */
      __pyx_t_4 = ((__pyx_v_optimizer != __pyx_e_6gensim_6models_14word2vec_inner_SGD) != 0);
      if (__pyx_t_4) {

        /* "gensim/models/word2vec_inner.pyx":1233
 *             # TODO: use adaptive_lr for RMSprop for biases
 *             if optimizer != SGD:
 *                 printf("Biases are currently only supported with SGD\n")             # <<<<<<<<<<<<<<
 *                 exit(-1)
 *             b0[word2_index] += g
 */
        (void)(printf(((char const *)"Biases are currently only supported with SGD\n")));

        /* "gensim/models/word2vec_inner.pyx":1234
 *             if optimizer != SGD:
 *                 printf("Biases are currently only supported with SGD\n")
 *                 exit(-1)             # <<<<<<<<<<<<<<
 *             b0[word2_index] += g
 *             b1[target_index] += g
 */
        exit(-1);

        /* "gensim/models/word2vec_inner.pyx":1232
 *         if with_bias:
 *             # TODO: use adaptive_lr for RMSprop for biases
 *             if optimizer != SGD:             # <<<<<<<<<<<<<<
 *                 printf("Biases are currently only supported with SGD\n")
 *                 exit(-1)
 */
      }

      /* "gensim/models/word2vec_inner.pyx":1235
 *                 printf("Biases are currently only supported with SGD\n")
 *                 exit(-1)
 *             b0[word2_index] += g             # <<<<<<<<<<<<<<
 *             b1[target_index] += g
 * 
 */
      __pyx_t_6 = __pyx_v_word2_index;
      (__pyx_v_b0[__pyx_t_6]) = ((__pyx_v_b0[__pyx_t_6]) + __pyx_v_g);

      /* "gensim/models/word2vec_inner.pyx":1236
 *                 exit(-1)
 *             b0[word2_index] += g
 *             b1[target_index] += g             # <<<<<<<<<<<<<<
 * 
 *     if optimizer == OptType.SGD or optimizer == OptType.WSGD:
 */
      __pyx_t_6 = __pyx_v_target_index;
      (__pyx_v_b1[__pyx_t_6]) = ((__pyx_v_b1[__pyx_t_6]) + __pyx_v_g);

      /* "gensim/models/word2vec_inner.pyx":1230
 * 
 *         # Update biases.
 *         if with_bias:             # <<<<<<<<<<<<<<
 *             # TODO: use adaptive_lr for RMSprop for biases
 *             if optimizer != SGD:
 */
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":1238
 *             b1[target_index] += g
 * 
 *     if optimizer == OptType.SGD or optimizer == OptType.WSGD:             # <<<<<<<<<<<<<<
 *         # Update input embedding of word2.
 *         update_embedding(&syn0[row1], word_locks[word2_index], work, size, normalized, debug)
 */
  switch (__pyx_v_optimizer) {
    case __pyx_e_6gensim_6models_14word2vec_inner_SGD:
    case __pyx_e_6gensim_6models_14word2vec_inner_WSGD:

    /* "gensim/models/word2vec_inner.pyx":1240
 *     if optimizer == OptType.SGD or optimizer == OptType.WSGD:
 *         # Update input embedding of word2.
 *         update_embedding(&syn0[row1], word_locks[word2_index], work, size, normalized, debug)             # <<<<<<<<<<<<<<
 *     elif optimizer == OptType.RMSprop:
 *         Gsyn0[row1] = coef_old * Gsyn0[row1] + coef_curr * dsdot(&size, work, &ONE, work, &ONE) + 1e-15
 */
    __pyx_f_6gensim_6models_14word2vec_inner_update_embedding((&(__pyx_v_syn0[__pyx_v_row1])), (__pyx_v_word_locks[__pyx_v_word2_index]), __pyx_v_work, __pyx_v_size, __pyx_v_normalized, __pyx_v_debug);

    /* "gensim/models/word2vec_inner.pyx":1238
 *             b1[target_index] += g
 * 
 *     if optimizer == OptType.SGD or optimizer == OptType.WSGD:             # <<<<<<<<<<<<<<
 *         # Update input embedding of word2.
 *         update_embedding(&syn0[row1], word_locks[word2_index], work, size, normalized, debug)
 */
    break;

    /* "gensim/models/word2vec_inner.pyx":1241
 *         # Update input embedding of word2.
 *         update_embedding(&syn0[row1], word_locks[word2_index], work, size, normalized, debug)
 *     elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *         Gsyn0[row1] = coef_old * Gsyn0[row1] + coef_curr * dsdot(&size, work, &ONE, work, &ONE) + 1e-15
 *         adaptive_lr = alpha / sqrt(Gsyn0[row1])
 */
    case __pyx_e_6gensim_6models_14word2vec_inner_RMSprop:

    /* "gensim/models/word2vec_inner.pyx":1242
 *         update_embedding(&syn0[row1], word_locks[word2_index], work, size, normalized, debug)
 *     elif optimizer == OptType.RMSprop:
 *         Gsyn0[row1] = coef_old * Gsyn0[row1] + coef_curr * dsdot(&size, work, &ONE, work, &ONE) + 1e-15             # <<<<<<<<<<<<<<
 *         adaptive_lr = alpha / sqrt(Gsyn0[row1])
 *         update_embedding(&syn0[row1], adaptive_lr * word_locks[word2_index], work, size, normalized, debug)
 */
    (__pyx_v_Gsyn0[__pyx_v_row1]) = (((__pyx_v_coef_old * (__pyx_v_Gsyn0[__pyx_v_row1])) + (__pyx_v_coef_curr * __pyx_v_6gensim_6models_14word2vec_inner_dsdot((&__pyx_v_size), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE)))) + 1e-15);

    /* "gensim/models/word2vec_inner.pyx":1243
 *     elif optimizer == OptType.RMSprop:
 *         Gsyn0[row1] = coef_old * Gsyn0[row1] + coef_curr * dsdot(&size, work, &ONE, work, &ONE) + 1e-15
 *         adaptive_lr = alpha / sqrt(Gsyn0[row1])             # <<<<<<<<<<<<<<
 *         update_embedding(&syn0[row1], adaptive_lr * word_locks[word2_index], work, size, normalized, debug)
 * 
 */
    __pyx_v_adaptive_lr = (__pyx_v_alpha / sqrt((__pyx_v_Gsyn0[__pyx_v_row1])));

    /* "gensim/models/word2vec_inner.pyx":1244
 *         Gsyn0[row1] = coef_old * Gsyn0[row1] + coef_curr * dsdot(&size, work, &ONE, work, &ONE) + 1e-15
 *         adaptive_lr = alpha / sqrt(Gsyn0[row1])
 *         update_embedding(&syn0[row1], adaptive_lr * word_locks[word2_index], work, size, normalized, debug)             # <<<<<<<<<<<<<<
 * 
 *     return next_random
 */
    __pyx_f_6gensim_6models_14word2vec_inner_update_embedding((&(__pyx_v_syn0[__pyx_v_row1])), (__pyx_v_adaptive_lr * (__pyx_v_word_locks[__pyx_v_word2_index])), __pyx_v_work, __pyx_v_size, __pyx_v_normalized, __pyx_v_debug);

    /* "gensim/models/word2vec_inner.pyx":1241
 *         # Update input embedding of word2.
 *         update_embedding(&syn0[row1], word_locks[word2_index], work, size, normalized, debug)
 *     elif optimizer == OptType.RMSprop:             # <<<<<<<<<<<<<<
 *         Gsyn0[row1] = coef_old * Gsyn0[row1] + coef_curr * dsdot(&size, work, &ONE, work, &ONE) + 1e-15
 *         adaptive_lr = alpha / sqrt(Gsyn0[row1])
 */
    break;
    default: break;
  }

  /* "gensim/models/word2vec_inner.pyx":1246
 *         update_embedding(&syn0[row1], adaptive_lr * word_locks[word2_index], work, size, normalized, debug)
 * 
 *     return next_random             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_next_random;
  goto __pyx_L0;

  /* "gensim/models/word2vec_inner.pyx":1157
 * 
 * 
 * cdef unsigned long long fast_sentence_sg_neg(             # <<<<<<<<<<<<<<
 *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
 *     REAL_t *syn0, REAL_t *syn1neg, REAL_t *b0, REAL_t *b1, REAL_t *Gsyn0, REAL_t *Gsyn1neg,
 */

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

/* "gensim/models/word2vec_inner.pyx":1249
 * 
 * 
 * cdef void fast_sentence_cbow_hs(             # <<<<<<<<<<<<<<
 *     const np.uint32_t *word_point, const np.uint8_t *word_code, int codelens[MAX_SENTENCE_LEN],
 *     REAL_t *neu1, REAL_t *syn0, REAL_t *syn1, const int size,
 */

static void __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_cbow_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int *__pyx_v_codelens, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const *__pyx_v_indexes, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int __pyx_v_i, int __pyx_v_j, int __pyx_v_k, int __pyx_v_cbow_mean, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_word_locks, int const __pyx_v__compute_loss, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__epoch_training_loss_param) {
  PY_LONG_LONG __pyx_v_b;
  PY_LONG_LONG __pyx_v_row2;
  PY_LONG_LONG __pyx_v_sgn;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_count;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_inv_count;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f_dot;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_lprob;
  int __pyx_v_m;
  int __pyx_t_1;
  int __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;
  PY_LONG_LONG __pyx_t_5;
  int __pyx_t_6;

  /* "gensim/models/word2vec_inner.pyx":1258
 *     cdef long long a, b
 *     cdef long long row2, sgn
 *     cdef REAL_t f, g, count, inv_count = 1.0, f_dot, lprob             # <<<<<<<<<<<<<<
 *     cdef int m
 * 
 */
  __pyx_v_inv_count = 1.0;

  /* "gensim/models/word2vec_inner.pyx":1261
 *     cdef int m
 * 
 *     memset(neu1, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 *     count = <REAL_t>0.0
 *     for m in range(j, k):
 */
  (void)(memset(__pyx_v_neu1, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":1262
 * 
 *     memset(neu1, 0, 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/word2vec_inner.pyx":1263
 *     memset(neu1, 0, size * cython.sizeof(REAL_t))
 *     count = <REAL_t>0.0
 *     for m in range(j, k):             # <<<<<<<<<<<<<<
 *         if m == i:
 *             continue
 */
  __pyx_t_1 = __pyx_v_k;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = __pyx_v_j; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_m = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":1264
 *     count = <REAL_t>0.0
 *     for m in range(j, k):
 *         if m == i:             # <<<<<<<<<<<<<<
 *             continue
 *         else:
 */
    __pyx_t_4 = ((__pyx_v_m == __pyx_v_i) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1265
 *     for m in range(j, k):
 *         if m == i:
 *             continue             # <<<<<<<<<<<<<<
 *         else:
 *             count += ONEF
 */
      goto __pyx_L3_continue;

      /* "gensim/models/word2vec_inner.pyx":1264
 *     count = <REAL_t>0.0
 *     for m in range(j, k):
 *         if m == i:             # <<<<<<<<<<<<<<
 *             continue
 *         else:
 */
    }

    /* "gensim/models/word2vec_inner.pyx":1267
 *             continue
 *         else:
 *             count += ONEF             # <<<<<<<<<<<<<<
 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
 *     if count > (<REAL_t>0.5):
 */
    /*else*/ {
      __pyx_v_count = (__pyx_v_count + __pyx_v_6gensim_6models_14word2vec_inner_ONEF);

      /* "gensim/models/word2vec_inner.pyx":1268
 *         else:
 *             count += ONEF
 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)             # <<<<<<<<<<<<<<
 *     if count > (<REAL_t>0.5):
 *         inv_count = ONEF/count
 */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_6gensim_6models_14word2vec_inner_ONEF), (&(__pyx_v_syn0[((__pyx_v_indexes[__pyx_v_m]) * __pyx_v_size)])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":1269
 *             count += ONEF
 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
 *     if count > (<REAL_t>0.5):             # <<<<<<<<<<<<<<
 *         inv_count = ONEF/count
 *     if cbow_mean:
 */
  __pyx_t_4 = ((__pyx_v_count > ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.5)) != 0);
  if (__pyx_t_4) {

    /* "gensim/models/word2vec_inner.pyx":1270
 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
 *     if count > (<REAL_t>0.5):
 *         inv_count = ONEF/count             # <<<<<<<<<<<<<<
 *     if cbow_mean:
 *         sscal(&size, &inv_count, neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
 */
    __pyx_v_inv_count = (__pyx_v_6gensim_6models_14word2vec_inner_ONEF / __pyx_v_count);

    /* "gensim/models/word2vec_inner.pyx":1269
 *             count += ONEF
 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
 *     if count > (<REAL_t>0.5):             # <<<<<<<<<<<<<<
 *         inv_count = ONEF/count
 *     if cbow_mean:
 */
  }

  /* "gensim/models/word2vec_inner.pyx":1271
 *     if count > (<REAL_t>0.5):
 *         inv_count = ONEF/count
 *     if cbow_mean:             # <<<<<<<<<<<<<<
 *         sscal(&size, &inv_count, neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
 * 
 */
  __pyx_t_4 = (__pyx_v_cbow_mean != 0);
  if (__pyx_t_4) {

    /* "gensim/models/word2vec_inner.pyx":1272
 *         inv_count = ONEF/count
 *     if cbow_mean:
 *         sscal(&size, &inv_count, neu1, &ONE)  # (does this need BLAS-variants like saxpy?)             # <<<<<<<<<<<<<<
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 */
    __pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_inv_count), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":1271
 *     if count > (<REAL_t>0.5):
 *         inv_count = ONEF/count
 *     if cbow_mean:             # <<<<<<<<<<<<<<
 *         sscal(&size, &inv_count, neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
 * 
 */
  }

  /* "gensim/models/word2vec_inner.pyx":1274
 *         sscal(&size, &inv_count, neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 *     for b in range(codelens[i]):
 *         row2 = word_point[b] * size
 */
  (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":1275
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 *     for b in range(codelens[i]):             # <<<<<<<<<<<<<<
 *         row2 = word_point[b] * size
 *         f_dot = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
 */
  __pyx_t_1 = (__pyx_v_codelens[__pyx_v_i]);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_2; __pyx_t_5+=1) {
    __pyx_v_b = __pyx_t_5;

    /* "gensim/models/word2vec_inner.pyx":1276
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 *     for b in range(codelens[i]):
 *         row2 = word_point[b] * size             # <<<<<<<<<<<<<<
 *         f_dot = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 */
    __pyx_v_row2 = ((__pyx_v_word_point[__pyx_v_b]) * __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":1277
 *     for b in range(codelens[i]):
 *         row2 = word_point[b] * size
 *         f_dot = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 *             continue
 */
    __pyx_v_f_dot = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":1278
 *         row2 = word_point[b] * size
 *         f_dot = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    __pyx_t_6 = ((__pyx_v_f_dot <= -6.0) != 0);
    if (!__pyx_t_6) {
    } else {
      __pyx_t_4 = __pyx_t_6;
      goto __pyx_L11_bool_binop_done;
    }
    __pyx_t_6 = ((__pyx_v_f_dot >= 6.0) != 0);
    __pyx_t_4 = __pyx_t_6;
    __pyx_L11_bool_binop_done:;
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1279
 *         f_dot = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 *             continue             # <<<<<<<<<<<<<<
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha
 */
      goto __pyx_L8_continue;

      /* "gensim/models/word2vec_inner.pyx":1278
 *         row2 = word_point[b] * size
 *         f_dot = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    }

    /* "gensim/models/word2vec_inner.pyx":1280
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 *             continue
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *         g = (1 - word_code[b] - f) * alpha
 * 
 */
    __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f_dot + 6.0) * 83.0))]);

    /* "gensim/models/word2vec_inner.pyx":1281
 *             continue
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (1 - word_code[b] - f) * alpha             # <<<<<<<<<<<<<<
 * 
 *         if _compute_loss == 1:
 */
    __pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);

    /* "gensim/models/word2vec_inner.pyx":1283
 *         g = (1 - word_code[b] - f) * alpha
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             sgn = (-1)**word_code[b]  # ch function: 0-> 1, 1 -> -1
 *             lprob = -1*sgn*f_dot
 */
    __pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1284
 * 
 *         if _compute_loss == 1:
 *             sgn = (-1)**word_code[b]  # ch function: 0-> 1, 1 -> -1             # <<<<<<<<<<<<<<
 *             lprob = -1*sgn*f_dot
 *             if lprob <= -MAX_EXP or lprob >= MAX_EXP:
 */
      __pyx_v_sgn = __Pyx_pow_long(-1L, ((long)(__pyx_v_word_code[__pyx_v_b])));

      /* "gensim/models/word2vec_inner.pyx":1285
 *         if _compute_loss == 1:
 *             sgn = (-1)**word_code[b]  # ch function: 0-> 1, 1 -> -1
 *             lprob = -1*sgn*f_dot             # <<<<<<<<<<<<<<
 *             if lprob <= -MAX_EXP or lprob >= MAX_EXP:
 *                 continue
 */
      __pyx_v_lprob = ((-1LL * __pyx_v_sgn) * __pyx_v_f_dot);

      /* "gensim/models/word2vec_inner.pyx":1286
 *             sgn = (-1)**word_code[b]  # ch function: 0-> 1, 1 -> -1
 *             lprob = -1*sgn*f_dot
 *             if lprob <= -MAX_EXP or lprob >= MAX_EXP:             # <<<<<<<<<<<<<<
 *                 continue
 *             lprob = LOG_TABLE[<int>((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
      __pyx_t_6 = ((__pyx_v_lprob <= -6.0) != 0);
      if (!__pyx_t_6) {
      } else {
        __pyx_t_4 = __pyx_t_6;
        goto __pyx_L15_bool_binop_done;
      }
      __pyx_t_6 = ((__pyx_v_lprob >= 6.0) != 0);
      __pyx_t_4 = __pyx_t_6;
      __pyx_L15_bool_binop_done:;
      if (__pyx_t_4) {

        /* "gensim/models/word2vec_inner.pyx":1287
 *             lprob = -1*sgn*f_dot
 *             if lprob <= -MAX_EXP or lprob >= MAX_EXP:
 *                 continue             # <<<<<<<<<<<<<<
 *             lprob = LOG_TABLE[<int>((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *             _epoch_training_loss_param[0] = _epoch_training_loss_param[0] - lprob
 */
        goto __pyx_L8_continue;

        /* "gensim/models/word2vec_inner.pyx":1286
 *             sgn = (-1)**word_code[b]  # ch function: 0-> 1, 1 -> -1
 *             lprob = -1*sgn*f_dot
 *             if lprob <= -MAX_EXP or lprob >= MAX_EXP:             # <<<<<<<<<<<<<<
 *                 continue
 *             lprob = LOG_TABLE[<int>((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
      }

      /* "gensim/models/word2vec_inner.pyx":1288
 *             if lprob <= -MAX_EXP or lprob >= MAX_EXP:
 *                 continue
 *             lprob = LOG_TABLE[<int>((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *             _epoch_training_loss_param[0] = _epoch_training_loss_param[0] - lprob
 * 
 */
      __pyx_v_lprob = (__pyx_v_6gensim_6models_14word2vec_inner_LOG_TABLE[((int)((__pyx_v_lprob + 6.0) * 83.0))]);

      /* "gensim/models/word2vec_inner.pyx":1289
 *                 continue
 *             lprob = LOG_TABLE[<int>((lprob + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *             _epoch_training_loss_param[0] = _epoch_training_loss_param[0] - lprob             # <<<<<<<<<<<<<<
 * 
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 */
      (__pyx_v__epoch_training_loss_param[0]) = ((__pyx_v__epoch_training_loss_param[0]) - __pyx_v_lprob);

      /* "gensim/models/word2vec_inner.pyx":1283
 *         g = (1 - word_code[b] - f) * alpha
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             sgn = (-1)**word_code[b]  # ch function: 0-> 1, 1 -> -1
 *             lprob = -1*sgn*f_dot
 */
    }

    /* "gensim/models/word2vec_inner.pyx":1291
 *             _epoch_training_loss_param[0] = _epoch_training_loss_param[0] - lprob
 * 
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
 *         our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
 * 
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":1292
 * 
 *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
 *         our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
 * 
 *     if not cbow_mean:  # divide error over summed window vectors
 */
    __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
    __pyx_L8_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":1294
 *         our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
 * 
 *     if not cbow_mean:  # divide error over summed window vectors             # <<<<<<<<<<<<<<
 *         sscal(&size, &inv_count, work, &ONE)  # (does this need BLAS-variants like saxpy?)
 * 
 */
  __pyx_t_4 = ((!(__pyx_v_cbow_mean != 0)) != 0);
  if (__pyx_t_4) {

    /* "gensim/models/word2vec_inner.pyx":1295
 * 
 *     if not cbow_mean:  # divide error over summed window vectors
 *         sscal(&size, &inv_count, work, &ONE)  # (does this need BLAS-variants like saxpy?)             # <<<<<<<<<<<<<<
 * 
 *     for m in range(j, k):
 */
    __pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_inv_count), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":1294
 *         our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
 * 
 *     if not cbow_mean:  # divide error over summed window vectors             # <<<<<<<<<<<<<<
 *         sscal(&size, &inv_count, work, &ONE)  # (does this need BLAS-variants like saxpy?)
 * 
 */
  }

  /* "gensim/models/word2vec_inner.pyx":1297
 *         sscal(&size, &inv_count, work, &ONE)  # (does this need BLAS-variants like saxpy?)
 * 
 *     for m in range(j, k):             # <<<<<<<<<<<<<<
 *         if m == i:
 *             continue
 */
  __pyx_t_1 = __pyx_v_k;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = __pyx_v_j; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_m = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":1298
 * 
 *     for m in range(j, k):
 *         if m == i:             # <<<<<<<<<<<<<<
 *             continue
 *         else:
 */
    __pyx_t_4 = ((__pyx_v_m == __pyx_v_i) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1299
 *     for m in range(j, k):
 *         if m == i:
 *             continue             # <<<<<<<<<<<<<<
 *         else:
 *             our_saxpy(&size, &word_locks[indexes[m]], work, &ONE, &syn0[indexes[m] * size], &ONE)
 */
      goto __pyx_L18_continue;

      /* "gensim/models/word2vec_inner.pyx":1298
 * 
 *     for m in range(j, k):
 *         if m == i:             # <<<<<<<<<<<<<<
 *             continue
 *         else:
 */
    }

    /* "gensim/models/word2vec_inner.pyx":1301
 *             continue
 *         else:
 *             our_saxpy(&size, &word_locks[indexes[m]], work, &ONE, &syn0[indexes[m] * size], &ONE)             # <<<<<<<<<<<<<<
 * 
 * 
 */
    /*else*/ {
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_word_locks[(__pyx_v_indexes[__pyx_v_m])])), __pyx_v_work, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn0[((__pyx_v_indexes[__pyx_v_m]) * __pyx_v_size)])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
    }
    __pyx_L18_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":1249
 * 
 * 
 * cdef void fast_sentence_cbow_hs(             # <<<<<<<<<<<<<<
 *     const np.uint32_t *word_point, const np.uint8_t *word_code, int codelens[MAX_SENTENCE_LEN],
 *     REAL_t *neu1, REAL_t *syn0, REAL_t *syn1, const int size,
 */

  /* function exit code */
}

/* "gensim/models/word2vec_inner.pyx":1304
 * 
 * 
 * cdef unsigned long long fast_sentence_cbow_neg(             # <<<<<<<<<<<<<<
 *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, int codelens[MAX_SENTENCE_LEN],
 *     REAL_t *neu1,  REAL_t *syn0, REAL_t *syn1neg, const int size,
 */

static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_cbow_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, CYTHON_UNUSED int *__pyx_v_codelens, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn0, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const *__pyx_v_indexes, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int __pyx_v_i, int __pyx_v_j, int __pyx_v_k, int __pyx_v_cbow_mean, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_word_locks, int const __pyx_v__compute_loss, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v__epoch_training_loss_param) {
  PY_LONG_LONG __pyx_v_row2;
  unsigned PY_LONG_LONG __pyx_v_modulo;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_count;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_inv_count;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_log_e_f_dot;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f_dot;
  __pyx_t_5numpy_uint32_t __pyx_v_target_index;
  __pyx_t_5numpy_uint32_t __pyx_v_word_index;
  int __pyx_v_d;
  int __pyx_v_m;
  unsigned PY_LONG_LONG __pyx_r;
  int __pyx_t_1;
  int __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;
  long __pyx_t_5;
  long __pyx_t_6;
  int __pyx_t_7;
  __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_t_8;

  /* "gensim/models/word2vec_inner.pyx":1313
 *     cdef long long a
 *     cdef long long row2
 *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
 *     cdef REAL_t f, g, count, inv_count = 1.0, label, log_e_f_dot, f_dot
 *     cdef np.uint32_t target_index, word_index
 */
  __pyx_v_modulo = 281474976710655ULL;

  /* "gensim/models/word2vec_inner.pyx":1314
 *     cdef long long row2
 *     cdef unsigned long long modulo = 281474976710655ULL
 *     cdef REAL_t f, g, count, inv_count = 1.0, label, log_e_f_dot, f_dot             # <<<<<<<<<<<<<<
 *     cdef np.uint32_t target_index, word_index
 *     cdef int d, m
 */
  __pyx_v_inv_count = 1.0;

  /* "gensim/models/word2vec_inner.pyx":1318
 *     cdef int d, m
 * 
 *     word_index = indexes[i]             # <<<<<<<<<<<<<<
 * 
 *     memset(neu1, 0, size * cython.sizeof(REAL_t))
 */
  __pyx_v_word_index = (__pyx_v_indexes[__pyx_v_i]);

  /* "gensim/models/word2vec_inner.pyx":1320
 *     word_index = indexes[i]
 * 
 *     memset(neu1, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 *     count = <REAL_t>0.0
 *     for m in range(j, k):
 */
  (void)(memset(__pyx_v_neu1, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":1321
 * 
 *     memset(neu1, 0, 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/word2vec_inner.pyx":1322
 *     memset(neu1, 0, size * cython.sizeof(REAL_t))
 *     count = <REAL_t>0.0
 *     for m in range(j, k):             # <<<<<<<<<<<<<<
 *         if m == i:
 *             continue
 */
  __pyx_t_1 = __pyx_v_k;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = __pyx_v_j; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_m = __pyx_t_3;

    /* "gensim/models/word2vec_inner.pyx":1323
 *     count = <REAL_t>0.0
 *     for m in range(j, k):
 *         if m == i:             # <<<<<<<<<<<<<<
 *             continue
 *         else:
 */
    __pyx_t_4 = ((__pyx_v_m == __pyx_v_i) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1324
 *     for m in range(j, k):
 *         if m == i:
 *             continue             # <<<<<<<<<<<<<<
 *         else:
 *             count += ONEF
 */
      goto __pyx_L3_continue;

      /* "gensim/models/word2vec_inner.pyx":1323
 *     count = <REAL_t>0.0
 *     for m in range(j, k):
 *         if m == i:             # <<<<<<<<<<<<<<
 *             continue
 *         else:
 */
    }

    /* "gensim/models/word2vec_inner.pyx":1326
 *             continue
 *         else:
 *             count += ONEF             # <<<<<<<<<<<<<<
 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
 *     if count > (<REAL_t>0.5):
 */
    /*else*/ {
      __pyx_v_count = (__pyx_v_count + __pyx_v_6gensim_6models_14word2vec_inner_ONEF);

      /* "gensim/models/word2vec_inner.pyx":1327
 *         else:
 *             count += ONEF
 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)             # <<<<<<<<<<<<<<
 *     if count > (<REAL_t>0.5):
 *         inv_count = ONEF/count
 */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_6gensim_6models_14word2vec_inner_ONEF), (&(__pyx_v_syn0[((__pyx_v_indexes[__pyx_v_m]) * __pyx_v_size)])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));
    }
    __pyx_L3_continue:;
  }

  /* "gensim/models/word2vec_inner.pyx":1328
 *             count += ONEF
 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
 *     if count > (<REAL_t>0.5):             # <<<<<<<<<<<<<<
 *         inv_count = ONEF/count
 *     if cbow_mean:
 */
  __pyx_t_4 = ((__pyx_v_count > ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.5)) != 0);
  if (__pyx_t_4) {

    /* "gensim/models/word2vec_inner.pyx":1329
 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
 *     if count > (<REAL_t>0.5):
 *         inv_count = ONEF/count             # <<<<<<<<<<<<<<
 *     if cbow_mean:
 *         sscal(&size, &inv_count, neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
 */
    __pyx_v_inv_count = (__pyx_v_6gensim_6models_14word2vec_inner_ONEF / __pyx_v_count);

    /* "gensim/models/word2vec_inner.pyx":1328
 *             count += ONEF
 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
 *     if count > (<REAL_t>0.5):             # <<<<<<<<<<<<<<
 *         inv_count = ONEF/count
 *     if cbow_mean:
 */
  }

  /* "gensim/models/word2vec_inner.pyx":1330
 *     if count > (<REAL_t>0.5):
 *         inv_count = ONEF/count
 *     if cbow_mean:             # <<<<<<<<<<<<<<
 *         sscal(&size, &inv_count, neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
 * 
 */
  __pyx_t_4 = (__pyx_v_cbow_mean != 0);
  if (__pyx_t_4) {

    /* "gensim/models/word2vec_inner.pyx":1331
 *         inv_count = ONEF/count
 *     if cbow_mean:
 *         sscal(&size, &inv_count, neu1, &ONE)  # (does this need BLAS-variants like saxpy?)             # <<<<<<<<<<<<<<
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 */
    __pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_inv_count), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":1330
 *     if count > (<REAL_t>0.5):
 *         inv_count = ONEF/count
 *     if cbow_mean:             # <<<<<<<<<<<<<<
 *         sscal(&size, &inv_count, neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
 * 
 */
  }

  /* "gensim/models/word2vec_inner.pyx":1333
 *         sscal(&size, &inv_count, neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
 * 
 *     memset(work, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
 * 
 *     for d in range(negative+1):
 */
  (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));

  /* "gensim/models/word2vec_inner.pyx":1335
 *     memset(work, 0, size * cython.sizeof(REAL_t))
 * 
 *     for d in range(negative+1):             # <<<<<<<<<<<<<<
 *         if d == 0:
 *             target_index = word_index
 */
  __pyx_t_5 = (__pyx_v_negative + 1);
  __pyx_t_6 = __pyx_t_5;
  for (__pyx_t_1 = 0; __pyx_t_1 < __pyx_t_6; __pyx_t_1+=1) {
    __pyx_v_d = __pyx_t_1;

    /* "gensim/models/word2vec_inner.pyx":1336
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *             label = ONEF
 */
    __pyx_t_4 = ((__pyx_v_d == 0) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1337
 *     for d in range(negative+1):
 *         if d == 0:
 *             target_index = word_index             # <<<<<<<<<<<<<<
 *             label = ONEF
 *         else:
 */
      __pyx_v_target_index = __pyx_v_word_index;

      /* "gensim/models/word2vec_inner.pyx":1338
 *         if d == 0:
 *             target_index = word_index
 *             label = ONEF             # <<<<<<<<<<<<<<
 *         else:
 *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
 */
      __pyx_v_label = __pyx_v_6gensim_6models_14word2vec_inner_ONEF;

      /* "gensim/models/word2vec_inner.pyx":1336
 * 
 *     for d in range(negative+1):
 *         if d == 0:             # <<<<<<<<<<<<<<
 *             target_index = word_index
 *             label = ONEF
 */
      goto __pyx_L10;
    }

    /* "gensim/models/word2vec_inner.pyx":1340
 *             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/word2vec_inner.pyx":1341
 *         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/word2vec_inner.pyx":1342
 *             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/word2vec_inner.pyx":1343
 *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
 *             if target_index == word_index:
 *                 continue             # <<<<<<<<<<<<<<
 *             label = <REAL_t>0.0
 * 
 */
        goto __pyx_L8_continue;

        /* "gensim/models/word2vec_inner.pyx":1342
 *             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/word2vec_inner.pyx":1344
 *             if target_index == 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_L10:;

    /* "gensim/models/word2vec_inner.pyx":1346
 *             label = <REAL_t>0.0
 * 
 *         row2 = target_index * size             # <<<<<<<<<<<<<<
 *         f_dot = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 */
    __pyx_v_row2 = (__pyx_v_target_index * __pyx_v_size);

    /* "gensim/models/word2vec_inner.pyx":1347
 * 
 *         row2 = target_index * size
 *         f_dot = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 *             continue
 */
    __pyx_v_f_dot = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_14word2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_14word2vec_inner_ONE));

    /* "gensim/models/word2vec_inner.pyx":1348
 *         row2 = target_index * size
 *         f_dot = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    __pyx_t_7 = ((__pyx_v_f_dot <= -6.0) != 0);
    if (!__pyx_t_7) {
    } else {
      __pyx_t_4 = __pyx_t_7;
      goto __pyx_L13_bool_binop_done;
    }
    __pyx_t_7 = ((__pyx_v_f_dot >= 6.0) != 0);
    __pyx_t_4 = __pyx_t_7;
    __pyx_L13_bool_binop_done:;
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1349
 *         f_dot = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 *             continue             # <<<<<<<<<<<<<<
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha
 */
      goto __pyx_L8_continue;

      /* "gensim/models/word2vec_inner.pyx":1348
 *         row2 = target_index * size
 *         f_dot = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
    }

    /* "gensim/models/word2vec_inner.pyx":1350
 *         if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 *             continue
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
 *         g = (label - f) * alpha
 * 
 */
    __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f_dot + 6.0) * 83.0))]);

    /* "gensim/models/word2vec_inner.pyx":1351
 *             continue
 *         f = EXP_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 *         g = (label - f) * alpha             # <<<<<<<<<<<<<<
 * 
 *         if _compute_loss == 1:
 */
    __pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);

    /* "gensim/models/word2vec_inner.pyx":1353
 *         g = (label - f) * alpha
 * 
 *         if _compute_loss == 1:             # <<<<<<<<<<<<<<
 *             f_dot = (f_dot if d == 0  else -f_dot)
 *             if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 */
    __pyx_t_4 = ((__pyx_v__compute_loss == 1) != 0);
    if (__pyx_t_4) {

      /* "gensim/models/word2vec_inner.pyx":1354
 * 
 *         if _compute_loss == 1:
 *             f_dot = (f_dot if d == 0  else -f_dot)             # <<<<<<<<<<<<<<
 *             if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:
 *                 continue
 */
      if (((__pyx_v_d == 0) != 0)) {
        __pyx_t_8 = __pyx_v_f_dot;
      } else {
        __pyx_t_8 = (-__pyx_v_f_dot);
      }
      __pyx_v_f_dot = __pyx_t_8;

      /* "gensim/models/word2vec_inner.pyx":1355
 *         if _compute_loss == 1:
 *             f_dot = (f_dot if d == 0  else -f_dot)
 *             if f_dot <= -MAX_EXP or f_dot >= MAX_EXP:             # <<<<<<<<<<<<<<
 *                 continue
 *             log_e_f_dot = LOG_TABLE[<int>((f_dot + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
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 *                     k = idx_end
 *                 for j in range(j, k):
 *                     if j == i:             # <<<<<<<<<<<<<<
 *                         continue
 *                     if hs:
 */
              }

              /* "gensim/models/word2vec_inner.pyx":1511
 *                     if j == i:
 *                         continue
 *                     if hs:             # <<<<<<<<<<<<<<
 *                         fast_sentence_sg_hs(points[i], codes[i], codelens[i], syn0, syn1, size, indexes[j], _alpha, work, word_locks, _compute_loss, &_epoch_training_loss)
 *                     if negative:
 */
              __pyx_t_9 = (__pyx_v_hs != 0);
              if (__pyx_t_9) {

                /* "gensim/models/word2vec_inner.pyx":1512
 *                         continue
 *                     if hs:
 *                         fast_sentence_sg_hs(points[i], codes[i], codelens[i], syn0, syn1, size, indexes[j], _alpha, work, word_locks, _compute_loss, &_epoch_training_loss)             # <<<<<<<<<<<<<<
 *                     if negative:
 *                         if euclid == 1:
 */
                __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_hs((__pyx_v_points[__pyx_v_i]), (__pyx_v_codes[__pyx_v_i]), (__pyx_v_codelens[__pyx_v_i]), __pyx_v_syn0, __pyx_v_syn1, __pyx_v_size, (__pyx_v_indexes[__pyx_v_j]), __pyx_v__alpha, __pyx_v_work, __pyx_v_word_locks, __pyx_v__compute_loss, (&__pyx_v__epoch_training_loss));

                /* "gensim/models/word2vec_inner.pyx":1511
 *                     if j == i:
 *                         continue
 *                     if hs:             # <<<<<<<<<<<<<<
 *                         fast_sentence_sg_hs(points[i], codes[i], codelens[i], syn0, syn1, size, indexes[j], _alpha, work, word_locks, _compute_loss, &_epoch_training_loss)
 *                     if negative:
 */
              }

              /* "gensim/models/word2vec_inner.pyx":1513
 *                     if hs:
 *                         fast_sentence_sg_hs(points[i], codes[i], codelens[i], syn0, syn1, size, indexes[j], _alpha, work, word_locks, _compute_loss, &_epoch_training_loss)
 *                     if negative:             # <<<<<<<<<<<<<<
 *                         if euclid == 1:
 *                             # Use a Euclidean distance-based similarity between words for training.
 */
              __pyx_t_9 = (__pyx_v_negative != 0);
              if (__pyx_t_9) {

                /* "gensim/models/word2vec_inner.pyx":1514
 *                         fast_sentence_sg_hs(points[i], codes[i], codelens[i], syn0, syn1, size, indexes[j], _alpha, work, word_locks, _compute_loss, &_epoch_training_loss)
 *                     if negative:
 *                         if euclid == 1:             # <<<<<<<<<<<<<<
 *                             # Use a Euclidean distance-based similarity between words for training.
 *                             next_random = fast_sentence_sg_euclid(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, size, indexes[i], indexes[j], _alpha, work, next_random, word_locks, normalized, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)
 */
                __pyx_t_9 = ((__pyx_v_euclid == 1) != 0);
                if (__pyx_t_9) {

                  /* "gensim/models/word2vec_inner.pyx":1516
 *                         if euclid == 1:
 *                             # Use a Euclidean distance-based similarity between words for training.
 *                             next_random = fast_sentence_sg_euclid(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, size, indexes[i], indexes[j], _alpha, work, next_random, word_locks, normalized, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)             # <<<<<<<<<<<<<<
 *                         elif poincare == 1:
 *                             printf("Float embeddings are not supported for the Poincare space. Try calling the double precision train_batch function instead.\n")
 */
                  __pyx_v_next_random = __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_euclid(__pyx_v_negative, __pyx_v_cum_table, __pyx_v_cum_table_len, __pyx_v_syn0, __pyx_v_syn1neg, __pyx_v_b0, __pyx_v_b1, __pyx_v_size, (__pyx_v_indexes[__pyx_v_i]), (__pyx_v_indexes[__pyx_v_j]), __pyx_v__alpha, __pyx_v_work, __pyx_v_next_random, __pyx_v_word_locks, __pyx_v_normalized, __pyx_v__compute_loss, __pyx_v_with_bias, (&__pyx_v_batch_loss), (&__pyx_v__epoch_training_loss), __pyx_v_debug);

                  /* "gensim/models/word2vec_inner.pyx":1514
 *                         fast_sentence_sg_hs(points[i], codes[i], codelens[i], syn0, syn1, size, indexes[j], _alpha, work, word_locks, _compute_loss, &_epoch_training_loss)
 *                     if negative:
 *                         if euclid == 1:             # <<<<<<<<<<<<<<
 *                             # Use a Euclidean distance-based similarity between words for training.
 *                             next_random = fast_sentence_sg_euclid(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, size, indexes[i], indexes[j], _alpha, work, next_random, word_locks, normalized, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)
 */
                  goto __pyx_L40;
                }

                /* "gensim/models/word2vec_inner.pyx":1517
 *                             # Use a Euclidean distance-based similarity between words for training.
 *                             next_random = fast_sentence_sg_euclid(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, size, indexes[i], indexes[j], _alpha, work, next_random, word_locks, normalized, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)
 *                         elif poincare == 1:             # <<<<<<<<<<<<<<
 *                             printf("Float embeddings are not supported for the Poincare space. Try calling the double precision train_batch function instead.\n")
 *                             exit(-1)
 */
                __pyx_t_9 = ((__pyx_v_poincare == 1) != 0);
                if (__pyx_t_9) {

                  /* "gensim/models/word2vec_inner.pyx":1518
 *                             next_random = fast_sentence_sg_euclid(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, size, indexes[i], indexes[j], _alpha, work, next_random, word_locks, normalized, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)
 *                         elif poincare == 1:
 *                             printf("Float embeddings are not supported for the Poincare space. Try calling the double precision train_batch function instead.\n")             # <<<<<<<<<<<<<<
 *                             exit(-1)
 *                         elif torus == 1:
 */
                  (void)(printf(((char const *)"Float embeddings are not supported for the Poincare space. Try calling the double precision train_batch function instead.\n")));

                  /* "gensim/models/word2vec_inner.pyx":1519
 *                         elif poincare == 1:
 *                             printf("Float embeddings are not supported for the Poincare space. Try calling the double precision train_batch function instead.\n")
 *                             exit(-1)             # <<<<<<<<<<<<<<
 *                         elif torus == 1:
 *                             # Use dot product on the torus for training.
 */
                  exit(-1);

                  /* "gensim/models/word2vec_inner.pyx":1517
 *                             # Use a Euclidean distance-based similarity between words for training.
 *                             next_random = fast_sentence_sg_euclid(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, size, indexes[i], indexes[j], _alpha, work, next_random, word_locks, normalized, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)
 *                         elif poincare == 1:             # <<<<<<<<<<<<<<
 *                             printf("Float embeddings are not supported for the Poincare space. Try calling the double precision train_batch function instead.\n")
 *                             exit(-1)
 */
                  goto __pyx_L40;
                }

                /* "gensim/models/word2vec_inner.pyx":1520
 *                             printf("Float embeddings are not supported for the Poincare space. Try calling the double precision train_batch function instead.\n")
 *                             exit(-1)
 *                         elif torus == 1:             # <<<<<<<<<<<<<<
 *                             # Use dot product on the torus for training.
 *                             next_random = fast_sentence_sg_torus(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, size, indexes[i], indexes[j], _alpha, work, next_random, word_locks, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)
 */
                __pyx_t_9 = ((__pyx_v_torus == 1) != 0);
                if (__pyx_t_9) {

                  /* "gensim/models/word2vec_inner.pyx":1522
 *                         elif torus == 1:
 *                             # Use dot product on the torus for training.
 *                             next_random = fast_sentence_sg_torus(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, size, indexes[i], indexes[j], _alpha, work, next_random, word_locks, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)             # <<<<<<<<<<<<<<
 *                         else:
 *                             if is_nll:
 */
                  __pyx_v_next_random = __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_torus(__pyx_v_negative, __pyx_v_cum_table, __pyx_v_cum_table_len, __pyx_v_syn0, __pyx_v_syn1neg, __pyx_v_b0, __pyx_v_b1, __pyx_v_size, (__pyx_v_indexes[__pyx_v_i]), (__pyx_v_indexes[__pyx_v_j]), __pyx_v__alpha, __pyx_v_work, __pyx_v_next_random, __pyx_v_word_locks, __pyx_v__compute_loss, __pyx_v_with_bias, (&__pyx_v_batch_loss), (&__pyx_v__epoch_training_loss), __pyx_v_debug);

                  /* "gensim/models/word2vec_inner.pyx":1520
 *                             printf("Float embeddings are not supported for the Poincare space. Try calling the double precision train_batch function instead.\n")
 *                             exit(-1)
 *                         elif torus == 1:             # <<<<<<<<<<<<<<
 *                             # Use dot product on the torus for training.
 *                             next_random = fast_sentence_sg_torus(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, size, indexes[i], indexes[j], _alpha, work, next_random, word_locks, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)
 */
                  goto __pyx_L40;
                }

                /* "gensim/models/word2vec_inner.pyx":1524
 *                             next_random = fast_sentence_sg_torus(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, size, indexes[i], indexes[j], _alpha, work, next_random, word_locks, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)
 *                         else:
 *                             if is_nll:             # <<<<<<<<<<<<<<
 *                                 # Use dot product between words for training and NLL loss.
 *                                 next_random = fast_sentence_nll_neg(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, Gsyn0, Gsyn1neg, Gb0, Gb1, size, indexes[i], indexes[j], _alpha, optimizer, work, next_random, word_locks, index2freq, normalized, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)
 */
                /*else*/ {
                  __pyx_t_9 = (__pyx_v_is_nll != 0);
                  if (__pyx_t_9) {

                    /* "gensim/models/word2vec_inner.pyx":1526
 *                             if is_nll:
 *                                 # Use dot product between words for training and NLL loss.
 *                                 next_random = fast_sentence_nll_neg(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, Gsyn0, Gsyn1neg, Gb0, Gb1, size, indexes[i], indexes[j], _alpha, optimizer, work, next_random, word_locks, index2freq, normalized, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)             # <<<<<<<<<<<<<<
 *                             else:
 *                                 # Use dot product between words for training. This yields vanilla Skip-gram word2vec.
 */
                    __pyx_v_next_random = __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_nll_neg(__pyx_v_negative, __pyx_v_cum_table, __pyx_v_cum_table_len, __pyx_v_syn0, __pyx_v_syn1neg, __pyx_v_b0, __pyx_v_b1, __pyx_v_Gsyn0, __pyx_v_Gsyn1neg, __pyx_v_Gb0, __pyx_v_Gb1, __pyx_v_size, (__pyx_v_indexes[__pyx_v_i]), (__pyx_v_indexes[__pyx_v_j]), __pyx_v__alpha, __pyx_v_optimizer, __pyx_v_work, __pyx_v_next_random, __pyx_v_word_locks, __pyx_v_index2freq, __pyx_v_normalized, __pyx_v__compute_loss, __pyx_v_with_bias, (&__pyx_v_batch_loss), (&__pyx_v__epoch_training_loss), __pyx_v_debug);

                    /* "gensim/models/word2vec_inner.pyx":1524
 *                             next_random = fast_sentence_sg_torus(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, size, indexes[i], indexes[j], _alpha, work, next_random, word_locks, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)
 *                         else:
 *                             if is_nll:             # <<<<<<<<<<<<<<
 *                                 # Use dot product between words for training and NLL loss.
 *                                 next_random = fast_sentence_nll_neg(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, Gsyn0, Gsyn1neg, Gb0, Gb1, size, indexes[i], indexes[j], _alpha, optimizer, work, next_random, word_locks, index2freq, normalized, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)
 */
                    goto __pyx_L41;
                  }

                  /* "gensim/models/word2vec_inner.pyx":1529
 *                             else:
 *                                 # Use dot product between words for training. This yields vanilla Skip-gram word2vec.
 *                                 next_random = fast_sentence_sg_neg(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, Gsyn0, Gsyn1neg, Gb0, Gb1, size, indexes[i], indexes[j], _alpha, optimizer, work, next_random, word_locks, index2freq, normalized, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)             # <<<<<<<<<<<<<<
 * 
 *     model.running_training_loss = _epoch_training_loss
 */
                  /*else*/ {
                    __pyx_v_next_random = __pyx_f_6gensim_6models_14word2vec_inner_fast_sentence_sg_neg(__pyx_v_negative, __pyx_v_cum_table, __pyx_v_cum_table_len, __pyx_v_syn0, __pyx_v_syn1neg, __pyx_v_b0, __pyx_v_b1, __pyx_v_Gsyn0, __pyx_v_Gsyn1neg, __pyx_v_Gb0, __pyx_v_Gb1, __pyx_v_size, (__pyx_v_indexes[__pyx_v_i]), (__pyx_v_indexes[__pyx_v_j]), __pyx_v__alpha, __pyx_v_optimizer, __pyx_v_work, __pyx_v_next_random, __pyx_v_word_locks, __pyx_v_index2freq, __pyx_v_normalized, __pyx_v__compute_loss, __pyx_v_with_bias, (&__pyx_v_batch_loss), (&__pyx_v__epoch_training_loss), __pyx_v_debug);
                  }
                  __pyx_L41:;
                }
                __pyx_L40:;

                /* "gensim/models/word2vec_inner.pyx":1513
 *                     if hs:
 *                         fast_sentence_sg_hs(points[i], codes[i], codelens[i], syn0, syn1, size, indexes[j], _alpha, work, word_locks, _compute_loss, &_epoch_training_loss)
 *                     if negative:             # <<<<<<<<<<<<<<
 *                         if euclid == 1:
 *                             # Use a Euclidean distance-based similarity between words for training.
 */
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              __pyx_L35_continue:;
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      /* "gensim/models/word2vec_inner.pyx":1497
 * 
 *     # release GIL & train on all sentences
 *     with nogil:             # <<<<<<<<<<<<<<
 *         for sent_idx in range(effective_sentences):
 *             idx_start = sentence_idx[sent_idx]
 */
      /*finally:*/ {
        /*normal exit:*/{
          #ifdef WITH_THREAD
          __Pyx_FastGIL_Forget();
          Py_BLOCK_THREADS
          #endif
          goto __pyx_L28;
        }
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  /* "gensim/models/word2vec_inner.pyx":1531
 *                                 next_random = fast_sentence_sg_neg(negative, cum_table, cum_table_len, syn0, syn1neg, b0, b1, Gsyn0, Gsyn1neg, Gb0, Gb1, size, indexes[i], indexes[j], _alpha, optimizer, work, next_random, word_locks, index2freq, normalized, _compute_loss, with_bias, &batch_loss, &_epoch_training_loss, debug)
 * 
 *     model.running_training_loss = _epoch_training_loss             # <<<<<<<<<<<<<<
 *     if debug and random_int32(&next_random) % 100 == 0:
 *         if model.torus == 0:
 */
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 * 
 *     model.running_training_loss = _epoch_training_loss
 *     if debug and random_int32(&next_random) % 100 == 0:             # <<<<<<<<<<<<<<
 *         if model.torus == 0:
 *             print("dog norm {}".format(np.linalg.norm(model.wv["dog"])))
 */
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 *     model.running_training_loss = _epoch_training_loss
 *     if debug and random_int32(&next_random) % 100 == 0:
 *         if model.torus == 0:             # <<<<<<<<<<<<<<
 *             print("dog norm {}".format(np.linalg.norm(model.wv["dog"])))
 *         else:
 */
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 *         if model.torus == 0:
 *             print("dog norm {}".format(np.linalg.norm(model.wv["dog"])))             # <<<<<<<<<<<<<<
 *         else:
 *             print("min radius {}".format(np.min(model.wv.vectors[0])))
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      /* "gensim/models/word2vec_inner.pyx":1998
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 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)             # <<<<<<<<<<<<<<
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 */
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 *             count += ONEF
 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
 *     if count > (<REAL_t>0.5):             # <<<<<<<<<<<<<<
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 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
 *     if count > (<REAL_t>0.5):
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 *             our_saxpy(&size, &ONEF, &syn0[indexes[m] * size], &ONE, neu1, &ONE)
 *     if count > (<REAL_t>0.5):             # <<<<<<<<<<<<<<
 *         inv_count = ONEF/count
 *     if cbow_mean:
 */
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 *     if count > (<REAL_t>0.5):
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 *     if cbow_mean:             # <<<<<<<<<<<<<<
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 */
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 *     for b in range(codelens[i]):
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 *     if count > (<REAL_t>0.5):
 *         inv_count = ONEF/count
 *     if cbow_mean:             # <<<<<<<<<<<<<<
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 */
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 *         sscal(&size, &inv_count, neu1, &ONE)
 * 
 *     for b in range(codelens[i]):             # <<<<<<<<<<<<<<
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    /* "gensim/models/word2vec_inner.pyx":2005
 * 
 *     for b in range(codelens[i]):
 *         row2 = word_point[b] * size             # <<<<<<<<<<<<<<
 *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
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 */
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    /* "gensim/models/word2vec_inner.pyx":2006
 *     for b in range(codelens[i]):
 *         row2 = word_point[b] * size
 *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
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 *         row2 = word_point[b] * size
 *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
 *         sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1             # <<<<<<<<<<<<<<
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 *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
 *         sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
 *         f *= sgn             # <<<<<<<<<<<<<<
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 *         sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
 *         f *= sgn
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
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 *         f *= sgn
 *         if f <= -MAX_EXP or f >= MAX_EXP:
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 *         f = LOG_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
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 */
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 *         sgn = (-1)**word_code[b] # ch function: 0-> 1, 1 -> -1
 *         f *= sgn
 *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
 *             continue
 *         f = LOG_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
 */
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 *         if f <= -MAX_EXP or f >= MAX_EXP:
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 *         f = LOG_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
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 *             continue
 *         f = LOG_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
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 * 
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 *     return work[0]
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 * cdef void score_pair_cbow_hs(             # <<<<<<<<<<<<<<
 *     const np.uint32_t *word_point, const np.uint8_t *word_code, int codelens[MAX_SENTENCE_LEN],
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 */

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 * 
 * 
 * def init():             # <<<<<<<<<<<<<<
 *     """
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 *     cdef int i
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 *     cdef int i
 *     cdef float *x = [<float>10.0]
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 *     cdef float expected = <float>0.1
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 *     cdef float expected = <float>0.1             # <<<<<<<<<<<<<<
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 *     cdef int size = 1             # <<<<<<<<<<<<<<
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 * 
 *     # build the sigmoid table
 *     for i in range(EXP_TABLE_SIZE):             # <<<<<<<<<<<<<<
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 *     for i in range(EXP_TABLE_SIZE):
 *         EXP_TABLE[i] = <REAL_t>exp((i / <REAL_t>EXP_TABLE_SIZE * 2 - 1) * MAX_EXP)
 *         EXP_TABLE[i] = <REAL_t>(EXP_TABLE[i] / (EXP_TABLE[i] + 1))             # <<<<<<<<<<<<<<
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 */
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 *     # build the trigonometric tables
 *     for i in range(COS_TABLE_SIZE):
 *         COS_TABLE[i] = <REAL_t>cos((i / <REAL_t>COS_TABLE_SIZE * 2 - 1) * MAX_COS)             # <<<<<<<<<<<<<<
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 *     for i in range(COS_TABLE_SIZE):
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 *         SIN_TABLE[i] = <REAL_t>sin((i / <REAL_t>COS_TABLE_SIZE * 2 - 1) * MAX_COS)             # <<<<<<<<<<<<<<
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    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 (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {
            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

/* 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((0 <= wrapped_i) & (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((0 <= wrapped_i) & (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((n >= 0) & (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((n >= 0) & (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));
}

/* SliceObject */
    static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(PyObject* obj,
        Py_ssize_t cstart, Py_ssize_t cstop,
        PyObject** _py_start, PyObject** _py_stop, PyObject** _py_slice,
        int has_cstart, int has_cstop, CYTHON_UNUSED int wraparound) {
#if CYTHON_USE_TYPE_SLOTS
    PyMappingMethods* mp;
#if PY_MAJOR_VERSION < 3
    PySequenceMethods* ms = Py_TYPE(obj)->tp_as_sequence;
    if (likely(ms && ms->sq_slice)) {
        if (!has_cstart) {
            if (_py_start && (*_py_start != Py_None)) {
                cstart = __Pyx_PyIndex_AsSsize_t(*_py_start);
                if ((cstart == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad;
            } else
                cstart = 0;
        }
        if (!has_cstop) {
            if (_py_stop && (*_py_stop != Py_None)) {
                cstop = __Pyx_PyIndex_AsSsize_t(*_py_stop);
                if ((cstop == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad;
            } else
                cstop = PY_SSIZE_T_MAX;
        }
        if (wraparound && unlikely((cstart < 0) | (cstop < 0)) && likely(ms->sq_length)) {
            Py_ssize_t l = ms->sq_length(obj);
            if (likely(l >= 0)) {
                if (cstop < 0) {
                    cstop += l;
                    if (cstop < 0) cstop = 0;
                }
                if (cstart < 0) {
                    cstart += l;
                    if (cstart < 0) cstart = 0;
                }
            } else {
                if (!PyErr_ExceptionMatches(PyExc_OverflowError))
                    goto bad;
                PyErr_Clear();
            }
        }
        return ms->sq_slice(obj, cstart, cstop);
    }
#endif
    mp = Py_TYPE(obj)->tp_as_mapping;
    if (likely(mp && mp->mp_subscript))
#endif
    {
        PyObject* result;
        PyObject *py_slice, *py_start, *py_stop;
        if (_py_slice) {
            py_slice = *_py_slice;
        } else {
            PyObject* owned_start = NULL;
            PyObject* owned_stop = NULL;
            if (_py_start) {
                py_start = *_py_start;
            } else {
                if (has_cstart) {
                    owned_start = py_start = PyInt_FromSsize_t(cstart);
                    if (unlikely(!py_start)) goto bad;
                } else
                    py_start = Py_None;
            }
            if (_py_stop) {
                py_stop = *_py_stop;
            } else {
                if (has_cstop) {
                    owned_stop = py_stop = PyInt_FromSsize_t(cstop);
                    if (unlikely(!py_stop)) {
                        Py_XDECREF(owned_start);
                        goto bad;
                    }
                } else
                    py_stop = Py_None;
            }
            py_slice = PySlice_New(py_start, py_stop, Py_None);
            Py_XDECREF(owned_start);
            Py_XDECREF(owned_stop);
            if (unlikely(!py_slice)) goto bad;
        }
#if CYTHON_USE_TYPE_SLOTS
        result = mp->mp_subscript(obj, py_slice);
#else
        result = PyObject_GetItem(obj, py_slice);
#endif
        if (!_py_slice) {
            Py_DECREF(py_slice);
        }
        return result;
    }
    PyErr_Format(PyExc_TypeError,
        "'%.200s' object is unsliceable", Py_TYPE(obj)->tp_name);
bad:
    return NULL;
}

/* BytesEquals */
    static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
    return PyObject_RichCompareBool(s1, s2, equals);
#else
    if (s1 == s2) {
        return (equals == Py_EQ);
    } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
        const char *ps1, *ps2;
        Py_ssize_t length = PyBytes_GET_SIZE(s1);
        if (length != PyBytes_GET_SIZE(s2))
            return (equals == Py_NE);
        ps1 = PyBytes_AS_STRING(s1);
        ps2 = PyBytes_AS_STRING(s2);
        if (ps1[0] != ps2[0]) {
            return (equals == Py_NE);
        } else if (length == 1) {
            return (equals == Py_EQ);
        } else {
            int result;
#if CYTHON_USE_UNICODE_INTERNALS
            Py_hash_t hash1, hash2;
            hash1 = ((PyBytesObject*)s1)->ob_shash;
            hash2 = ((PyBytesObject*)s2)->ob_shash;
            if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
                return (equals == Py_NE);
            }
#endif
            result = memcmp(ps1, ps2, (size_t)length);
            return (equals == Py_EQ) ? (result == 0) : (result != 0);
        }
    } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
        return (equals == Py_NE);
    } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
        return (equals == Py_NE);
    } else {
        int result;
        PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
        if (!py_result)
            return -1;
        result = __Pyx_PyObject_IsTrue(py_result);
        Py_DECREF(py_result);
        return result;
    }
#endif
}

/* UnicodeEquals */
    static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
    return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
    PyObject* owned_ref = NULL;
#endif
    int s1_is_unicode, s2_is_unicode;
    if (s1 == s2) {
        goto return_eq;
    }
    s1_is_unicode = PyUnicode_CheckExact(s1);
    s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
    if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
        owned_ref = PyUnicode_FromObject(s2);
        if (unlikely(!owned_ref))
            return -1;
        s2 = owned_ref;
        s2_is_unicode = 1;
    } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
        owned_ref = PyUnicode_FromObject(s1);
        if (unlikely(!owned_ref))
            return -1;
        s1 = owned_ref;
        s1_is_unicode = 1;
    } else if (((!s2_is_unicode) & (!s1_is_unicode))) {
        return __Pyx_PyBytes_Equals(s1, s2, equals);
    }
#endif
    if (s1_is_unicode & s2_is_unicode) {
        Py_ssize_t length;
        int kind;
        void *data1, *data2;
        if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
            return -1;
        length = __Pyx_PyUnicode_GET_LENGTH(s1);
        if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
            goto return_ne;
        }
#if CYTHON_USE_UNICODE_INTERNALS
        {
            Py_hash_t hash1, hash2;
        #if CYTHON_PEP393_ENABLED
            hash1 = ((PyASCIIObject*)s1)->hash;
            hash2 = ((PyASCIIObject*)s2)->hash;
        #else
            hash1 = ((PyUnicodeObject*)s1)->hash;
            hash2 = ((PyUnicodeObject*)s2)->hash;
        #endif
            if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
                goto return_ne;
            }
        }
#endif
        kind = __Pyx_PyUnicode_KIND(s1);
        if (kind != __Pyx_PyUnicode_KIND(s2)) {
            goto return_ne;
        }
        data1 = __Pyx_PyUnicode_DATA(s1);
        data2 = __Pyx_PyUnicode_DATA(s2);
        if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
            goto return_ne;
        } else if (length == 1) {
            goto return_eq;
        } else {
            int result = memcmp(data1, data2, (size_t)(length * kind));
            #if PY_MAJOR_VERSION < 3
            Py_XDECREF(owned_ref);
            #endif
            return (equals == Py_EQ) ? (result == 0) : (result != 0);
        }
    } else if ((s1 == Py_None) & s2_is_unicode) {
        goto return_ne;
    } else if ((s2 == Py_None) & s1_is_unicode) {
        goto return_ne;
    } else {
        int result;
        PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
        if (!py_result)
            return -1;
        result = __Pyx_PyObject_IsTrue(py_result);
        Py_DECREF(py_result);
        return result;
    }
return_eq:
    #if PY_MAJOR_VERSION < 3
    Py_XDECREF(owned_ref);
    #endif
    return (equals == Py_EQ);
return_ne:
    #if PY_MAJOR_VERSION < 3
    Py_XDECREF(owned_ref);
    #endif
    return (equals == Py_NE);
#endif
}

/* 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

/* PyObjectSetAttrStr */
    #if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value) {
    PyTypeObject* tp = Py_TYPE(obj);
    if (likely(tp->tp_setattro))
        return tp->tp_setattro(obj, attr_name, value);
#if PY_MAJOR_VERSION < 3
    if (likely(tp->tp_setattr))
        return tp->tp_setattr(obj, PyString_AS_STRING(attr_name), value);
#endif
    return PyObject_SetAttr(obj, attr_name, value);
}
#endif

/* PyIntBinop */
    #if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_EqObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) {
    if (op1 == op2) {
        Py_RETURN_TRUE;
    }
    #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))) {
        const long b = intval;
        long a;
        const digit* digits = ((PyLongObject*)op1)->ob_digit;
        const Py_ssize_t size = Py_SIZE(op1);
        if (likely(__Pyx_sst_abs(size) <= 1)) {
            a = likely(size) ? digits[0] : 0;
            if (size == -1) a = -a;
        } else {
            switch (size) {
                case -2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case 2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case -3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case 3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case -4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case 4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                #if PyLong_SHIFT < 30 && PyLong_SHIFT != 15
                default: return PyLong_Type.tp_richcompare(op1, op2, Py_EQ);
                #else
                default: Py_RETURN_FALSE;
                #endif
            }
        }
            if (a == b) {
                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_EQ);
}
#endif

/* 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()) {
            PyObject* args = PyTuple_Pack(1, key);
            if (likely(args))
                PyErr_SetObject(PyExc_KeyError, args);
            Py_XDECREF(args);
        }
        return NULL;
    }
    Py_INCREF(value);
    return value;
}
#endif

/* pyobject_as_double */
    static double __Pyx__PyObject_AsDouble(PyObject* obj) {
    PyObject* float_value;
#if !CYTHON_USE_TYPE_SLOTS
    float_value = PyNumber_Float(obj);  if (0) goto bad;
#else
    PyNumberMethods *nb = Py_TYPE(obj)->tp_as_number;
    if (likely(nb) && likely(nb->nb_float)) {
        float_value = nb->nb_float(obj);
        if (likely(float_value) && unlikely(!PyFloat_Check(float_value))) {
            PyErr_Format(PyExc_TypeError,
                "__float__ returned non-float (type %.200s)",
                Py_TYPE(float_value)->tp_name);
            Py_DECREF(float_value);
            goto bad;
        }
    } else if (PyUnicode_CheckExact(obj) || PyBytes_CheckExact(obj)) {
#if PY_MAJOR_VERSION >= 3
        float_value = PyFloat_FromString(obj);
#else
        float_value = PyFloat_FromString(obj, 0);
#endif
    } else {
        PyObject* args = PyTuple_New(1);
        if (unlikely(!args)) goto bad;
        PyTuple_SET_ITEM(args, 0, obj);
        float_value = PyObject_Call((PyObject*)&PyFloat_Type, args, 0);
        PyTuple_SET_ITEM(args, 0, 0);
        Py_DECREF(args);
    }
#endif
    if (likely(float_value)) {
        double value = PyFloat_AS_DOUBLE(float_value);
        Py_DECREF(float_value);
        return value;
    }
bad:
    return (double)-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

/* RaiseTooManyValuesToUnpack */
    static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
    PyErr_Format(PyExc_ValueError,
                 "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}

/* RaiseNeedMoreValuesToUnpack */
    static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
    PyErr_Format(PyExc_ValueError,
                 "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
                 index, (index == 1) ? "" : "s");
}

/* RaiseNoneIterError */
    static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
    PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}

/* SaveResetException */
    #if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
    #if PY_VERSION_HEX >= 0x030700A2
    *type = tstate->exc_state.exc_type;
    *value = tstate->exc_state.exc_value;
    *tb = tstate->exc_state.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 PY_VERSION_HEX >= 0x030700A2
    tmp_type = tstate->exc_state.exc_type;
    tmp_value = tstate->exc_state.exc_value;
    tmp_tb = tstate->exc_state.exc_traceback;
    tstate->exc_state.exc_type = type;
    tstate->exc_state.exc_value = value;
    tstate->exc_state.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 PY_VERSION_HEX >= 0x030700A2
    tmp_type = tstate->exc_state.exc_type;
    tmp_value = tstate->exc_state.exc_value;
    tmp_tb = tstate->exc_state.exc_traceback;
    tstate->exc_state.exc_type = local_type;
    tstate->exc_state.exc_value = local_value;
    tstate->exc_state.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;
}

/* 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 (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, 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;
}

/* PyObjectCallNoArg */
      #if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) {
#if CYTHON_FAST_PYCALL
    if (PyFunction_Check(func)) {
        return __Pyx_PyFunction_FastCall(func, NULL, 0);
    }
#endif
#ifdef __Pyx_CyFunction_USED
    if (likely(PyCFunction_Check(func) || __Pyx_TypeCheck(func, __pyx_CyFunctionType))) {
#else
    if (likely(PyCFunction_Check(func))) {
#endif
        if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) {
            return __Pyx_PyObject_CallMethO(func, NULL);
        }
    }
    return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL);
}
#endif

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

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

/* AddTraceback */
        #include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
            const char *funcname, int c_line,
            int py_line, const char *filename) {
    PyCodeObject *py_code = 0;
    PyObject *py_srcfile = 0;
    PyObject *py_funcname = 0;
    #if PY_MAJOR_VERSION < 3
    py_srcfile = PyString_FromString(filename);
    #else
    py_srcfile = PyUnicode_FromString(filename);
    #endif
    if (!py_srcfile) goto bad;
    if (c_line) {
        #if PY_MAJOR_VERSION < 3
        py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
        #else
        py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
        #endif
    }
    else {
        #if PY_MAJOR_VERSION < 3
        py_funcname = PyString_FromString(funcname);
        #else
        py_funcname = PyUnicode_FromString(funcname);
        #endif
    }
    if (!py_funcname) goto bad;
    py_code = __Pyx_PyCode_New(
        0,
        0,
        0,
        0,
        0,
        __pyx_empty_bytes, /*PyObject *code,*/
        __pyx_empty_tuple, /*PyObject *consts,*/
        __pyx_empty_tuple, /*PyObject *names,*/
        __pyx_empty_tuple, /*PyObject *varnames,*/
        __pyx_empty_tuple, /*PyObject *freevars,*/
        __pyx_empty_tuple, /*PyObject *cellvars,*/
        py_srcfile,   /*PyObject *filename,*/
        py_funcname,  /*PyObject *name,*/
        py_line,
        __pyx_empty_bytes  /*PyObject *lnotab*/
    );
    Py_DECREF(py_srcfile);
    Py_DECREF(py_funcname);
    return py_code;
bad:
    Py_XDECREF(py_srcfile);
    Py_XDECREF(py_funcname);
    return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
                               int py_line, const char *filename) {
    PyCodeObject *py_code = 0;
    PyFrameObject *py_frame = 0;
    PyThreadState *tstate = __Pyx_PyThreadState_Current;
    if (c_line) {
        c_line = __Pyx_CLineForTraceback(tstate, c_line);
    }
    py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
    if (!py_code) {
        py_code = __Pyx_CreateCodeObjectForTraceback(
            funcname, c_line, py_line, filename);
        if (!py_code) goto bad;
        __pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
    }
    py_frame = PyFrame_New(
        tstate,            /*PyThreadState *tstate,*/
        py_code,           /*PyCodeObject *code,*/
        __pyx_d,    /*PyObject *globals,*/
        0                  /*PyObject *locals*/
    );
    if (!py_frame) goto bad;
    __Pyx_PyFrame_SetLineNumber(py_frame, py_line);
    PyTraceBack_Here(py_frame);
bad:
    Py_XDECREF(py_code);
    Py_XDECREF(py_frame);
}

/* CIntToPy */
        static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
    const int neg_one = (int) -1, const_zero = (int) 0;
    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);
    }
}

/* 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;\
    }

/* None */
        static CYTHON_INLINE long __Pyx_pow_long(long b, long e) {
    long t = b;
    switch (e) {
        case 3:
            t *= b;
        CYTHON_FALLTHROUGH;
        case 2:
            t *= b;
        CYTHON_FALLTHROUGH;
        case 1:
            return t;
        case 0:
            return 1;
    }
    #if 1
    if (unlikely(e<0)) return 0;
    #endif
    t = 1;
    while (likely(e)) {
        t *= (b * (e&1)) | ((~e)&1);
        b *= b;
        e >>= 1;
    }
    return t;
}

/* CIntToPy */
        static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
    const long neg_one = (long) -1, const_zero = (long) 0;
    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);
    }
}

/* Print */
        #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION < 3
static PyObject *__Pyx_GetStdout(void) {
    PyObject *f = PySys_GetObject((char *)"stdout");
    if (!f) {
        PyErr_SetString(PyExc_RuntimeError, "lost sys.stdout");
    }
    return f;
}
static int __Pyx_Print(PyObject* f, PyObject *arg_tuple, int newline) {
    int i;
    if (!f) {
        if (!(f = __Pyx_GetStdout()))
            return -1;
    }
    Py_INCREF(f);
    for (i=0; i < PyTuple_GET_SIZE(arg_tuple); i++) {
        PyObject* v;
        if (PyFile_SoftSpace(f, 1)) {
            if (PyFile_WriteString(" ", f) < 0)
                goto error;
        }
        v = PyTuple_GET_ITEM(arg_tuple, i);
        if (PyFile_WriteObject(v, f, Py_PRINT_RAW) < 0)
            goto error;
        if (PyString_Check(v)) {
            char *s = PyString_AsString(v);
            Py_ssize_t len = PyString_Size(v);
            if (len > 0) {
                switch (s[len-1]) {
                    case ' ': break;
                    case '\f': case '\r': case '\n': case '\t': case '\v':
                        PyFile_SoftSpace(f, 0);
                        break;
                    default:  break;
                }
            }
        }
    }
    if (newline) {
        if (PyFile_WriteString("\n", f) < 0)
            goto error;
        PyFile_SoftSpace(f, 0);
    }
    Py_DECREF(f);
    return 0;
error:
    Py_DECREF(f);
    return -1;
}
#else
static int __Pyx_Print(PyObject* stream, PyObject *arg_tuple, int newline) {
    PyObject* kwargs = 0;
    PyObject* result = 0;
    PyObject* end_string;
    if (unlikely(!__pyx_print)) {
        __pyx_print = PyObject_GetAttr(__pyx_b, __pyx_n_s_print);
        if (!__pyx_print)
            return -1;
    }
    if (stream) {
        kwargs = PyDict_New();
        if (unlikely(!kwargs))
            return -1;
        if (unlikely(PyDict_SetItem(kwargs, __pyx_n_s_file, stream) < 0))
            goto bad;
        if (!newline) {
            end_string = PyUnicode_FromStringAndSize(" ", 1);
            if (unlikely(!end_string))
                goto bad;
            if (PyDict_SetItem(kwargs, __pyx_n_s_end, end_string) < 0) {
                Py_DECREF(end_string);
                goto bad;
            }
            Py_DECREF(end_string);
        }
    } else if (!newline) {
        if (unlikely(!__pyx_print_kwargs)) {
            __pyx_print_kwargs = PyDict_New();
            if (unlikely(!__pyx_print_kwargs))
                return -1;
            end_string = PyUnicode_FromStringAndSize(" ", 1);
            if (unlikely(!end_string))
                return -1;
            if (PyDict_SetItem(__pyx_print_kwargs, __pyx_n_s_end, end_string) < 0) {
                Py_DECREF(end_string);
                return -1;
            }
            Py_DECREF(end_string);
        }
        kwargs = __pyx_print_kwargs;
    }
    result = PyObject_Call(__pyx_print, arg_tuple, kwargs);
    if (unlikely(kwargs) && (kwargs != __pyx_print_kwargs))
        Py_DECREF(kwargs);
    if (!result)
        return -1;
    Py_DECREF(result);
    return 0;
bad:
    if (kwargs != __pyx_print_kwargs)
        Py_XDECREF(kwargs);
    return -1;
}
#endif

/* CIntToPy */
        static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_PY_LONG_LONG(unsigned PY_LONG_LONG value) {
    const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG) -1, const_zero = (unsigned PY_LONG_LONG) 0;
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(unsigned PY_LONG_LONG) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(unsigned PY_LONG_LONG) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(unsigned PY_LONG_LONG) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(unsigned PY_LONG_LONG) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(unsigned PY_LONG_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(unsigned PY_LONG_LONG),
                                     little, !is_unsigned);
    }
}

/* 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 = 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 = 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:
                        z = __Pyx_c_prod_float(a, a);
                        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, -1);
                }
            } 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 = 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 = 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:
                        z = __Pyx_c_prod_double(a, a);
                        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, -1);
                }
            } 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_enum__NPY_TYPES(enum NPY_TYPES value) {
    const enum NPY_TYPES neg_one = (enum NPY_TYPES) -1, const_zero = (enum NPY_TYPES) 0;
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(enum NPY_TYPES) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(enum NPY_TYPES) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES),
                                     little, !is_unsigned);
    }
}

/* CIntFromPy */
        static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
    const int neg_one = (int) -1, const_zero = (int) 0;
    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 PY_LONG_LONG __Pyx_PyInt_As_PY_LONG_LONG(PyObject *x) {
    const PY_LONG_LONG neg_one = (PY_LONG_LONG) -1, const_zero = (PY_LONG_LONG) 0;
    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;
}

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

/* CIntFromPy */
        static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_As_unsigned_PY_LONG_LONG(PyObject *x) {
    const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG) -1, const_zero = (unsigned PY_LONG_LONG) 0;
    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) {
    const npy_uint32 neg_one = (npy_uint32) -1, const_zero = (npy_uint32) 0;
    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;
}

/* PrintOne */
        #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION < 3
static int __Pyx_PrintOne(PyObject* f, PyObject *o) {
    if (!f) {
        if (!(f = __Pyx_GetStdout()))
            return -1;
    }
    Py_INCREF(f);
    if (PyFile_SoftSpace(f, 0)) {
        if (PyFile_WriteString(" ", f) < 0)
            goto error;
    }
    if (PyFile_WriteObject(o, f, Py_PRINT_RAW) < 0)
        goto error;
    if (PyFile_WriteString("\n", f) < 0)
        goto error;
    Py_DECREF(f);
    return 0;
error:
    Py_DECREF(f);
    return -1;
    /* the line below is just to avoid C compiler
     * warnings about unused functions */
    return __Pyx_Print(f, NULL, 0);
}
#else
static int __Pyx_PrintOne(PyObject* stream, PyObject *o) {
    int res;
    PyObject* arg_tuple = PyTuple_Pack(1, o);
    if (unlikely(!arg_tuple))
        return -1;
    res = __Pyx_Print(stream, arg_tuple, 1);
    Py_DECREF(arg_tuple);
    return res;
}
#endif

/* FastTypeChecks */
        #if CYTHON_COMPILING_IN_CPYTHON
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
    while (a) {
        a = a->tp_base;
        if (a == b)
            return 1;
    }
    return b == &PyBaseObject_Type;
}
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
    PyObject *mro;
    if (a == b) return 1;
    mro = a->tp_mro;
    if (likely(mro)) {
        Py_ssize_t i, n;
        n = PyTuple_GET_SIZE(mro);
        for (i = 0; i < n; i++) {
            if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
                return 1;
        }
        return 0;
    }
    return __Pyx_InBases(a, b);
}
#if PY_MAJOR_VERSION == 2
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
    PyObject *exception, *value, *tb;
    int res;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&exception, &value, &tb);
    res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
    if (unlikely(res == -1)) {
        PyErr_WriteUnraisable(err);
        res = 0;
    }
    if (!res) {
        res = PyObject_IsSubclass(err, exc_type2);
        if (unlikely(res == -1)) {
            PyErr_WriteUnraisable(err);
            res = 0;
        }
    }
    __Pyx_ErrRestore(exception, value, tb);
    return res;
}
#else
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
    int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
    if (!res) {
        res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
    }
    return res;
}
#endif
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
    if (likely(err == exc_type)) return 1;
    if (likely(PyExceptionClass_Check(err))) {
        return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
    }
    return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *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[4], rtversion[4];
    PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
    PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
    if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
        char message[200];
        PyOS_snprintf(message, sizeof(message),
                      "compiletime version %s of module '%.100s' "
                      "does not match runtime version %s",
                      ctversion, __Pyx_MODULE_NAME, rtversion);
        return PyErr_WarnEx(NULL, message, 1);
    }
    return 0;
}

/* VoidPtrExport */
        static int __Pyx_ExportVoidPtr(PyObject *name, void *p, const char *sig) {
    PyObject *d;
    PyObject *cobj = 0;
    d = PyDict_GetItem(__pyx_d, __pyx_n_s_pyx_capi);
    Py_XINCREF(d);
    if (!d) {
        d = PyDict_New();
        if (!d)
            goto bad;
        if (__Pyx_PyObject_SetAttrStr(__pyx_m, __pyx_n_s_pyx_capi, d) < 0)
            goto bad;
    }
#if PY_VERSION_HEX >= 0x02070000
    cobj = PyCapsule_New(p, sig, 0);
#else
    cobj = PyCObject_FromVoidPtrAndDesc(p, (void *)sig, 0);
#endif
    if (!cobj)
        goto bad;
    if (PyDict_SetItem(d, name, cobj) < 0)
        goto bad;
    Py_DECREF(cobj);
    Py_DECREF(d);
    return 0;
bad:
    Py_XDECREF(cobj);
    Py_XDECREF(d);
    return -1;
}

/* 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;
}

/* ModuleImport */
        #ifndef __PYX_HAVE_RT_ImportModule
#define __PYX_HAVE_RT_ImportModule
static PyObject *__Pyx_ImportModule(const char *name) {
    PyObject *py_name = 0;
    PyObject *py_module = 0;
    py_name = __Pyx_PyIdentifier_FromString(name);
    if (!py_name)
        goto bad;
    py_module = PyImport_Import(py_name);
    Py_DECREF(py_name);
    return py_module;
bad:
    Py_XDECREF(py_name);
    return 0;
}
#endif

/* TypeImport */
        #ifndef __PYX_HAVE_RT_ImportType
#define __PYX_HAVE_RT_ImportType
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name,
    size_t size, int strict)
{
    PyObject *py_module = 0;
    PyObject *result = 0;
    PyObject *py_name = 0;
    char warning[200];
    Py_ssize_t basicsize;
#ifdef Py_LIMITED_API
    PyObject *py_basicsize;
#endif
    py_module = __Pyx_ImportModule(module_name);
    if (!py_module)
        goto bad;
    py_name = __Pyx_PyIdentifier_FromString(class_name);
    if (!py_name)
        goto bad;
    result = PyObject_GetAttr(py_module, py_name);
    Py_DECREF(py_name);
    py_name = 0;
    Py_DECREF(py_module);
    py_module = 0;
    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 (!strict && (size_t)basicsize > size) {
        PyOS_snprintf(warning, sizeof(warning),
            "%s.%s size changed, may indicate binary incompatibility. Expected %zd, got %zd",
            module_name, class_name, basicsize, size);
        if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
    }
    else if ((size_t)basicsize != size) {
        PyErr_Format(PyExc_ValueError,
            "%.200s.%.200s has the wrong size, try recompiling. Expected %zd, got %zd",
            module_name, class_name, basicsize, size);
        goto bad;
    }
    return (PyTypeObject *)result;
bad:
    Py_XDECREF(py_module);
    Py_XDECREF(result);
    return NULL;
}
#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 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(x);
  }
#endif
  if (likely(PyLong_CheckExact(b))) {
    #if CYTHON_USE_PYLONG_INTERNALS
    const digit* digits = ((PyLongObject*)b)->ob_digit;
    const Py_ssize_t size = Py_SIZE(b);
    if (likely(__Pyx_sst_abs(size) <= 1)) {
        ival = likely(size) ? digits[0] : 0;
        if (size == -1) ival = -ival;
        return ival;
    } else {
      switch (size) {
         case 2:
           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -2:
           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case 3:
           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -3:
           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case 4:
           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -4:
           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
      }
    }
    #endif
    return PyLong_AsSsize_t(b);
  }
  x = PyNumber_Index(b);
  if (!x) return -1;
  ival = PyInt_AsSsize_t(x);
  Py_DECREF(x);
  return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
    return PyInt_FromSize_t(ival);
}


#endif /* Py_PYTHON_H */
