text: /* Generated by Cython 0.29.14 */
  
  /* BEGIN: Cython Metadata
  {
      "distutils": {
          "depends": [
              "gensim/models/voidptr.h"
          ], 
          "extra_compile_args": [
              "-std=c++11"
          ], 
          "extra_link_args": [
              "-std=c++11"
          ], 
          "include_dirs": [
              "./gensim/models", 
              "gensim/models"
          ], 
          "language": "c++", 
          "name": "gensim.models.doc2vec_inner", 
          "sources": [
              "gensim/models/doc2vec_inner.pyx"
          ]
      }, 
      "module_name": "gensim.models.doc2vec_inner"
  }
  END: Cython Metadata */
  
  #define PY_SSIZE_T_CLEAN
  #include "Python.h"
  #ifndef Py_PYTHON_H
      #error Python headers needed to compile C extensions, please install development version of Python.
  #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
      #error Cython requires Python 2.6+ or Python 3.3+.
  #else
  #define CYTHON_ABI "0_29_14"
  #define CYTHON_HEX_VERSION 0x001D0EF0
  #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)
    #ifndef __stdcall
      #define __stdcall
    #endif
    #ifndef __cdecl
      #define __cdecl
    #endif
    #ifndef __fastcall
      #define __fastcall
    #endif
  #endif
  #ifndef DL_IMPORT
    #define DL_IMPORT(t) t
  #endif
  #ifndef DL_EXPORT
    #define DL_EXPORT(t) t
  #endif
  #define __PYX_COMMA ,
  #ifndef HAVE_LONG_LONG
    #if PY_VERSION_HEX >= 0x02070000
      #define HAVE_LONG_LONG
    #endif
  #endif
  #ifndef PY_LONG_LONG
    #define PY_LONG_LONG LONG_LONG
  #endif
  #ifndef Py_HUGE_VAL
    #define Py_HUGE_VAL HUGE_VAL
  #endif
  #ifdef PYPY_VERSION
    #define CYTHON_COMPILING_IN_PYPY 1
    #define CYTHON_COMPILING_IN_PYSTON 0
    #define CYTHON_COMPILING_IN_CPYTHON 0
    #undef CYTHON_USE_TYPE_SLOTS
    #define CYTHON_USE_TYPE_SLOTS 0
    #undef CYTHON_USE_PYTYPE_LOOKUP
    #define CYTHON_USE_PYTYPE_LOOKUP 0
    #if PY_VERSION_HEX < 0x03050000
      #undef CYTHON_USE_ASYNC_SLOTS
      #define CYTHON_USE_ASYNC_SLOTS 0
    #elif !defined(CYTHON_USE_ASYNC_SLOTS)
      #define CYTHON_USE_ASYNC_SLOTS 1
    #endif
    #undef CYTHON_USE_PYLIST_INTERNALS
    #define CYTHON_USE_PYLIST_INTERNALS 0
    #undef CYTHON_USE_UNICODE_INTERNALS
    #define CYTHON_USE_UNICODE_INTERNALS 0
    #undef CYTHON_USE_UNICODE_WRITER
    #define CYTHON_USE_UNICODE_WRITER 0
    #undef CYTHON_USE_PYLONG_INTERNALS
    #define CYTHON_USE_PYLONG_INTERNALS 0
    #undef CYTHON_AVOID_BORROWED_REFS
    #define CYTHON_AVOID_BORROWED_REFS 1
    #undef CYTHON_ASSUME_SAFE_MACROS
    #define CYTHON_ASSUME_SAFE_MACROS 0
    #undef CYTHON_UNPACK_METHODS
    #define CYTHON_UNPACK_METHODS 0
    #undef CYTHON_FAST_THREAD_STATE
    #define CYTHON_FAST_THREAD_STATE 0
    #undef CYTHON_FAST_PYCALL
    #define CYTHON_FAST_PYCALL 0
    #undef CYTHON_PEP489_MULTI_PHASE_INIT
    #define CYTHON_PEP489_MULTI_PHASE_INIT 0
    #undef CYTHON_USE_TP_FINALIZE
    #define CYTHON_USE_TP_FINALIZE 0
    #undef CYTHON_USE_DICT_VERSIONS
    #define CYTHON_USE_DICT_VERSIONS 0
    #undef CYTHON_USE_EXC_INFO_STACK
    #define CYTHON_USE_EXC_INFO_STACK 0
  #elif defined(PYSTON_VERSION)
    #define CYTHON_COMPILING_IN_PYPY 0
    #define CYTHON_COMPILING_IN_PYSTON 1
    #define CYTHON_COMPILING_IN_CPYTHON 0
    #ifndef CYTHON_USE_TYPE_SLOTS
      #define CYTHON_USE_TYPE_SLOTS 1
    #endif
    #undef CYTHON_USE_PYTYPE_LOOKUP
    #define CYTHON_USE_PYTYPE_LOOKUP 0
    #undef CYTHON_USE_ASYNC_SLOTS
    #define CYTHON_USE_ASYNC_SLOTS 0
    #undef CYTHON_USE_PYLIST_INTERNALS
    #define CYTHON_USE_PYLIST_INTERNALS 0
    #ifndef CYTHON_USE_UNICODE_INTERNALS
      #define CYTHON_USE_UNICODE_INTERNALS 1
    #endif
    #undef CYTHON_USE_UNICODE_WRITER
    #define CYTHON_USE_UNICODE_WRITER 0
    #undef CYTHON_USE_PYLONG_INTERNALS
    #define CYTHON_USE_PYLONG_INTERNALS 0
    #ifndef CYTHON_AVOID_BORROWED_REFS
      #define CYTHON_AVOID_BORROWED_REFS 0
    #endif
    #ifndef CYTHON_ASSUME_SAFE_MACROS
      #define CYTHON_ASSUME_SAFE_MACROS 1
    #endif
    #ifndef CYTHON_UNPACK_METHODS
      #define CYTHON_UNPACK_METHODS 1
    #endif
    #undef CYTHON_FAST_THREAD_STATE
    #define CYTHON_FAST_THREAD_STATE 0
    #undef CYTHON_FAST_PYCALL
    #define CYTHON_FAST_PYCALL 0
    #undef CYTHON_PEP489_MULTI_PHASE_INIT
    #define CYTHON_PEP489_MULTI_PHASE_INIT 0
    #undef CYTHON_USE_TP_FINALIZE
    #define CYTHON_USE_TP_FINALIZE 0
    #undef CYTHON_USE_DICT_VERSIONS
    #define CYTHON_USE_DICT_VERSIONS 0
    #undef CYTHON_USE_EXC_INFO_STACK
    #define CYTHON_USE_EXC_INFO_STACK 0
  #else
    #define CYTHON_COMPILING_IN_PYPY 0
    #define CYTHON_COMPILING_IN_PYSTON 0
    #define CYTHON_COMPILING_IN_CPYTHON 1
    #ifndef CYTHON_USE_TYPE_SLOTS
      #define CYTHON_USE_TYPE_SLOTS 1
    #endif
    #if PY_VERSION_HEX < 0x02070000
      #undef CYTHON_USE_PYTYPE_LOOKUP
      #define CYTHON_USE_PYTYPE_LOOKUP 0
    #elif !defined(CYTHON_USE_PYTYPE_LOOKUP)
      #define CYTHON_USE_PYTYPE_LOOKUP 1
    #endif
    #if PY_MAJOR_VERSION < 3
      #undef CYTHON_USE_ASYNC_SLOTS
      #define CYTHON_USE_ASYNC_SLOTS 0
    #elif !defined(CYTHON_USE_ASYNC_SLOTS)
      #define CYTHON_USE_ASYNC_SLOTS 1
    #endif
    #if PY_VERSION_HEX < 0x02070000
      #undef CYTHON_USE_PYLONG_INTERNALS
      #define CYTHON_USE_PYLONG_INTERNALS 0
    #elif !defined(CYTHON_USE_PYLONG_INTERNALS)
      #define CYTHON_USE_PYLONG_INTERNALS 1
    #endif
    #ifndef CYTHON_USE_PYLIST_INTERNALS
      #define CYTHON_USE_PYLIST_INTERNALS 1
    #endif
    #ifndef CYTHON_USE_UNICODE_INTERNALS
      #define CYTHON_USE_UNICODE_INTERNALS 1
    #endif
    #if PY_VERSION_HEX < 0x030300F0
      #undef CYTHON_USE_UNICODE_WRITER
      #define CYTHON_USE_UNICODE_WRITER 0
    #elif !defined(CYTHON_USE_UNICODE_WRITER)
      #define CYTHON_USE_UNICODE_WRITER 1
    #endif
    #ifndef CYTHON_AVOID_BORROWED_REFS
      #define CYTHON_AVOID_BORROWED_REFS 0
    #endif
    #ifndef CYTHON_ASSUME_SAFE_MACROS
      #define CYTHON_ASSUME_SAFE_MACROS 1
    #endif
    #ifndef CYTHON_UNPACK_METHODS
      #define CYTHON_UNPACK_METHODS 1
    #endif
    #ifndef CYTHON_FAST_THREAD_STATE
      #define CYTHON_FAST_THREAD_STATE 1
    #endif
    #ifndef CYTHON_FAST_PYCALL
      #define CYTHON_FAST_PYCALL 1
    #endif
    #ifndef CYTHON_PEP489_MULTI_PHASE_INIT
      #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000)
    #endif
    #ifndef CYTHON_USE_TP_FINALIZE
      #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
    #endif
    #ifndef CYTHON_USE_DICT_VERSIONS
      #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1)
    #endif
    #ifndef CYTHON_USE_EXC_INFO_STACK
      #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3)
    #endif
  #endif
  #if !defined(CYTHON_FAST_PYCCALL)
  #define CYTHON_FAST_PYCCALL  (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
  #endif
  #if CYTHON_USE_PYLONG_INTERNALS
    #include "longintrepr.h"
    #undef SHIFT
    #undef BASE
    #undef MASK
    #ifdef SIZEOF_VOID_P
      enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) };
    #endif
  #endif
  #ifndef __has_attribute
    #define __has_attribute(x) 0
  #endif
  #ifndef __has_cpp_attribute
    #define __has_cpp_attribute(x) 0
  #endif
  #ifndef CYTHON_RESTRICT
    #if defined(__GNUC__)
      #define CYTHON_RESTRICT __restrict__
    #elif defined(_MSC_VER) && _MSC_VER >= 1400
      #define CYTHON_RESTRICT __restrict
    #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
      #define CYTHON_RESTRICT restrict
    #else
      #define CYTHON_RESTRICT
    #endif
  #endif
  #ifndef CYTHON_UNUSED
  # if defined(__GNUC__)
  #   if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
  #     define CYTHON_UNUSED __attribute__ ((__unused__))
  #   else
  #     define CYTHON_UNUSED
  #   endif
  # elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
  #   define CYTHON_UNUSED __attribute__ ((__unused__))
  # else
  #   define CYTHON_UNUSED
  # endif
  #endif
  #ifndef CYTHON_MAYBE_UNUSED_VAR
  #  if defined(__cplusplus)
       template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }
  #  else
  #    define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)
  #  endif
  #endif
  #ifndef CYTHON_NCP_UNUSED
  # if CYTHON_COMPILING_IN_CPYTHON
  #  define CYTHON_NCP_UNUSED
  # else
  #  define CYTHON_NCP_UNUSED CYTHON_UNUSED
  # endif
  #endif
  #define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
  #ifdef _MSC_VER
      #ifndef _MSC_STDINT_H_
          #if _MSC_VER < 1300
             typedef unsigned char     uint8_t;
             typedef unsigned int      uint32_t;
          #else
             typedef unsigned __int8   uint8_t;
             typedef unsigned __int32  uint32_t;
          #endif
      #endif
  #else
     #include <stdint.h>
  #endif
  #ifndef CYTHON_FALLTHROUGH
    #if defined(__cplusplus) && __cplusplus >= 201103L
      #if __has_cpp_attribute(fallthrough)
        #define CYTHON_FALLTHROUGH [[fallthrough]]
      #elif __has_cpp_attribute(clang::fallthrough)
        #define CYTHON_FALLTHROUGH [[clang::fallthrough]]
      #elif __has_cpp_attribute(gnu::fallthrough)
        #define CYTHON_FALLTHROUGH [[gnu::fallthrough]]
      #endif
    #endif
    #ifndef CYTHON_FALLTHROUGH
      #if __has_attribute(fallthrough)
        #define CYTHON_FALLTHROUGH __attribute__((fallthrough))
      #else
        #define CYTHON_FALLTHROUGH
      #endif
    #endif
    #if defined(__clang__ ) && defined(__apple_build_version__)
      #if __apple_build_version__ < 7000000
        #undef  CYTHON_FALLTHROUGH
        #define CYTHON_FALLTHROUGH
      #endif
    #endif
  #endif
  
  #ifndef __cplusplus
    #error "Cython files generated with the C++ option must be compiled with a C++ compiler."
  #endif
  #ifndef CYTHON_INLINE
    #if defined(__clang__)
      #define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
    #else
      #define CYTHON_INLINE inline
    #endif
  #endif
  template<typename T>
  void __Pyx_call_destructor(T& x) {
      x.~T();
  }
  template<typename T>
  class __Pyx_FakeReference {
    public:
      __Pyx_FakeReference() : ptr(NULL) { }
      __Pyx_FakeReference(const T& ref) : ptr(const_cast<T*>(&ref)) { }
      T *operator->() { return ptr; }
      T *operator&() { return ptr; }
      operator T&() { return *ptr; }
      template<typename U> bool operator ==(U other) { return *ptr == other; }
      template<typename U> bool operator !=(U other) { return *ptr != other; }
    private:
      T *ptr;
  };
  
  #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
    #define Py_OptimizeFlag 0
  #endif
  #define __PYX_BUILD_PY_SSIZE_T "n"
  #define CYTHON_FORMAT_SSIZE_T "z"
  #if PY_MAJOR_VERSION < 3
    #define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
    #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
            PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
    #define __Pyx_DefaultClassType PyClass_Type
  #else
    #define __Pyx_BUILTIN_MODULE_NAME "builtins"
  #if PY_VERSION_HEX >= 0x030800A4 && PY_VERSION_HEX < 0x030800B2
    #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
            PyCode_New(a, 0, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
  #else
    #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
            PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
  #endif
    #define __Pyx_DefaultClassType PyType_Type
  #endif
  #ifndef Py_TPFLAGS_CHECKTYPES
    #define Py_TPFLAGS_CHECKTYPES 0
  #endif
  #ifndef Py_TPFLAGS_HAVE_INDEX
    #define Py_TPFLAGS_HAVE_INDEX 0
  #endif
  #ifndef Py_TPFLAGS_HAVE_NEWBUFFER
    #define Py_TPFLAGS_HAVE_NEWBUFFER 0
  #endif
  #ifndef Py_TPFLAGS_HAVE_FINALIZE
    #define Py_TPFLAGS_HAVE_FINALIZE 0
  #endif
  #ifndef METH_STACKLESS
    #define METH_STACKLESS 0
  #endif
  #if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL)
    #ifndef METH_FASTCALL
       #define METH_FASTCALL 0x80
    #endif
    typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs);
    typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args,
                                                            Py_ssize_t nargs, PyObject *kwnames);
  #else
    #define __Pyx_PyCFunctionFast _PyCFunctionFast
    #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords
  #endif
  #if CYTHON_FAST_PYCCALL
  #define __Pyx_PyFastCFunction_Check(func)\
      ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)))))
  #else
  #define __Pyx_PyFastCFunction_Check(func) 0
  #endif
  #if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)
    #define PyObject_Malloc(s)   PyMem_Malloc(s)
    #define PyObject_Free(p)     PyMem_Free(p)
    #define PyObject_Realloc(p)  PyMem_Realloc(p)
  #endif
  #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1
    #define PyMem_RawMalloc(n)           PyMem_Malloc(n)
    #define PyMem_RawRealloc(p, n)       PyMem_Realloc(p, n)
    #define PyMem_RawFree(p)             PyMem_Free(p)
  #endif
  #if CYTHON_COMPILING_IN_PYSTON
    #define __Pyx_PyCode_HasFreeVars(co)  PyCode_HasFreeVars(co)
    #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)
  #else
    #define __Pyx_PyCode_HasFreeVars(co)  (PyCode_GetNumFree(co) > 0)
    #define __Pyx_PyFrame_SetLineNumber(frame, lineno)  (frame)->f_lineno = (lineno)
  #endif
  #if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000
    #define __Pyx_PyThreadState_Current PyThreadState_GET()
  #elif PY_VERSION_HEX >= 0x03060000
    #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()
  #elif PY_VERSION_HEX >= 0x03000000
    #define __Pyx_PyThreadState_Current PyThreadState_GET()
  #else
    #define __Pyx_PyThreadState_Current _PyThreadState_Current
  #endif
  #if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT)
  #include "pythread.h"
  #define Py_tss_NEEDS_INIT 0
  typedef int Py_tss_t;
  static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {
    *key = PyThread_create_key();
    return 0;
  }
  static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) {
    Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));
    *key = Py_tss_NEEDS_INIT;
    return key;
  }
  static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {
    PyObject_Free(key);
  }
  static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {
    return *key != Py_tss_NEEDS_INIT;
  }
  static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {
    PyThread_delete_key(*key);
    *key = Py_tss_NEEDS_INIT;
  }
  static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) {
    return PyThread_set_key_value(*key, value);
  }
  static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) {
    return PyThread_get_key_value(*key);
  }
  #endif
  #if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)
  #define __Pyx_PyDict_NewPresized(n)  ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))
  #else
  #define __Pyx_PyDict_NewPresized(n)  PyDict_New()
  #endif
  #if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION
    #define __Pyx_PyNumber_Divide(x,y)         PyNumber_TrueDivide(x,y)
    #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceTrueDivide(x,y)
  #else
    #define __Pyx_PyNumber_Divide(x,y)         PyNumber_Divide(x,y)
    #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceDivide(x,y)
  #endif
  #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS
  #define __Pyx_PyDict_GetItemStr(dict, name)  _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)
  #else
  #define __Pyx_PyDict_GetItemStr(dict, name)  PyDict_GetItem(dict, name)
  #endif
  #if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
    #define CYTHON_PEP393_ENABLED 1
    #define __Pyx_PyUnicode_READY(op)       (likely(PyUnicode_IS_READY(op)) ?\
                                                0 : _PyUnicode_Ready((PyObject *)(op)))
    #define __Pyx_PyUnicode_GET_LENGTH(u)   PyUnicode_GET_LENGTH(u)
    #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
    #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u)   PyUnicode_MAX_CHAR_VALUE(u)
    #define __Pyx_PyUnicode_KIND(u)         PyUnicode_KIND(u)
    #define __Pyx_PyUnicode_DATA(u)         PyUnicode_DATA(u)
    #define __Pyx_PyUnicode_READ(k, d, i)   PyUnicode_READ(k, d, i)
    #define __Pyx_PyUnicode_WRITE(k, d, i, ch)  PyUnicode_WRITE(k, d, i, ch)
    #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 || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
  #define __Pyx_PyUnicode_FormatSafe(a, b)  ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
  #if PY_MAJOR_VERSION >= 3
    #define __Pyx_PyString_Format(a, b)  PyUnicode_Format(a, b)
  #else
    #define __Pyx_PyString_Format(a, b)  PyString_Format(a, b)
  #endif
  #if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)
    #define PyObject_ASCII(o)            PyObject_Repr(o)
  #endif
  #if PY_MAJOR_VERSION >= 3
    #define PyBaseString_Type            PyUnicode_Type
    #define PyStringObject               PyUnicodeObject
    #define PyString_Type                PyUnicode_Type
    #define PyString_Check               PyUnicode_Check
    #define PyString_CheckExact          PyUnicode_CheckExact
    #define PyObject_Unicode             PyObject_Str
  #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)
    #endif
  #endif
  #if PY_VERSION_HEX < 0x030200A4
    typedef long Py_hash_t;
    #define __Pyx_PyInt_FromHash_t PyInt_FromLong
    #define __Pyx_PyInt_AsHash_t   PyInt_AsLong
  #else
    #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
    #define __Pyx_PyInt_AsHash_t   PyInt_AsSsize_t
  #endif
  #if PY_MAJOR_VERSION >= 3
    #define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : (Py_INCREF(func), func))
  #else
    #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
  #endif
  #if CYTHON_USE_ASYNC_SLOTS
    #if PY_VERSION_HEX >= 0x030500B1
      #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
      #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
    #else
      #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
    #endif
  #else
    #define __Pyx_PyType_AsAsync(obj) NULL
  #endif
  #ifndef __Pyx_PyAsyncMethodsStruct
      typedef struct {
          unaryfunc am_await;
          unaryfunc am_aiter;
          unaryfunc am_anext;
      } __Pyx_PyAsyncMethodsStruct;
  #endif
  
  #if defined(WIN32) || defined(MS_WINDOWS)
    #define _USE_MATH_DEFINES
  #endif
  #include <math.h>
  #ifdef NAN
  #define __PYX_NAN() ((float) NAN)
  #else
  static CYTHON_INLINE float __PYX_NAN() {
    float value;
    memset(&value, 0xFF, sizeof(value));
    return value;
  }
  #endif
  #if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
  #define __Pyx_truncl trunc
  #else
  #define __Pyx_truncl truncl
  #endif
  
  
  #define __PYX_ERR(f_index, lineno, Ln_error) \
  { \
    __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \
  }
  
  #ifndef __PYX_EXTERN_C
    #ifdef __cplusplus
      #define __PYX_EXTERN_C extern "C"
    #else
      #define __PYX_EXTERN_C extern
    #endif
  #endif
  
  #define __PYX_HAVE__gensim__models__doc2vec_inner
  #define __PYX_HAVE_API__gensim__models__doc2vec_inner
  /* Early includes */
  #include <string.h>
  #include <stdio.h>
  #include "numpy/arrayobject.h"
  #include "numpy/ufuncobject.h"
  #include "voidptr.h"
  #ifdef _OPENMP
  #include <omp.h>
  #endif /* _OPENMP */
  
  #if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
  #define CYTHON_WITHOUT_ASSERTIONS
  #endif
  
  typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
                  const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;
  
  #define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
  #define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0
  #define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)
  #define __PYX_DEFAULT_STRING_ENCODING ""
  #define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
  #define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
  #define __Pyx_uchar_cast(c) ((unsigned char)c)
  #define __Pyx_long_cast(x) ((long)x)
  #define __Pyx_fits_Py_ssize_t(v, type, is_signed)  (\
      (sizeof(type) < sizeof(Py_ssize_t))  ||\
      (sizeof(type) > sizeof(Py_ssize_t) &&\
            likely(v < (type)PY_SSIZE_T_MAX ||\
                   v == (type)PY_SSIZE_T_MAX)  &&\
            (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
                                  v == (type)PY_SSIZE_T_MIN)))  ||\
      (sizeof(type) == sizeof(Py_ssize_t) &&\
            (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\
                                 v == (type)PY_SSIZE_T_MAX)))  )
  static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {
      return (size_t) i < (size_t) limit;
  }
  #if defined (__cplusplus) && __cplusplus >= 201103L
      #include <cstdlib>
      #define __Pyx_sst_abs(value) std::abs(value)
  #elif SIZEOF_INT >= SIZEOF_SIZE_T
      #define __Pyx_sst_abs(value) abs(value)
  #elif SIZEOF_LONG >= SIZEOF_SIZE_T
      #define __Pyx_sst_abs(value) labs(value)
  #elif defined (_MSC_VER)
      #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
  #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
      #define __Pyx_sst_abs(value) llabs(value)
  #elif defined (__GNUC__)
      #define __Pyx_sst_abs(value) __builtin_llabs(value)
  #else
      #define __Pyx_sst_abs(value) ((value<0) ? -value : value)
  #endif
  static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
  static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
  #define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
  #define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
  #define __Pyx_PyBytes_FromString        PyBytes_FromString
  #define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
  static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
  #if PY_MAJOR_VERSION < 3
      #define __Pyx_PyStr_FromString        __Pyx_PyBytes_FromString
      #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
  #else
      #define __Pyx_PyStr_FromString        __Pyx_PyUnicode_FromString
      #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
  #endif
  #define __Pyx_PyBytes_AsWritableString(s)     ((char*) PyBytes_AS_STRING(s))
  #define __Pyx_PyBytes_AsWritableSString(s)    ((signed char*) PyBytes_AS_STRING(s))
  #define __Pyx_PyBytes_AsWritableUString(s)    ((unsigned char*) PyBytes_AS_STRING(s))
  #define __Pyx_PyBytes_AsString(s)     ((const char*) PyBytes_AS_STRING(s))
  #define __Pyx_PyBytes_AsSString(s)    ((const signed char*) PyBytes_AS_STRING(s))
  #define __Pyx_PyBytes_AsUString(s)    ((const unsigned char*) PyBytes_AS_STRING(s))
  #define __Pyx_PyObject_AsWritableString(s)    ((char*) __Pyx_PyObject_AsString(s))
  #define __Pyx_PyObject_AsWritableSString(s)    ((signed char*) __Pyx_PyObject_AsString(s))
  #define __Pyx_PyObject_AsWritableUString(s)    ((unsigned char*) __Pyx_PyObject_AsString(s))
  #define __Pyx_PyObject_AsSString(s)    ((const signed char*) __Pyx_PyObject_AsString(s))
  #define __Pyx_PyObject_AsUString(s)    ((const unsigned char*) __Pyx_PyObject_AsString(s))
  #define __Pyx_PyObject_FromCString(s)  __Pyx_PyObject_FromString((const char*)s)
  #define __Pyx_PyBytes_FromCString(s)   __Pyx_PyBytes_FromString((const char*)s)
  #define __Pyx_PyByteArray_FromCString(s)   __Pyx_PyByteArray_FromString((const char*)s)
  #define __Pyx_PyStr_FromCString(s)     __Pyx_PyStr_FromString((const char*)s)
  #define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
  static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
      const Py_UNICODE *u_end = u;
      while (*u_end++) ;
      return (size_t)(u_end - u - 1);
  }
  #define __Pyx_PyUnicode_FromUnicode(u)       PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
  #define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
  #define __Pyx_PyUnicode_AsUnicode            PyUnicode_AsUnicode
  #define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
  #define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
  static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);
  static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
  static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);
  static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
  #define __Pyx_PySequence_Tuple(obj)\
      (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
  static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
  static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
  #if CYTHON_ASSUME_SAFE_MACROS
  #define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
  #else
  #define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
  #endif
  #define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
  #if PY_MAJOR_VERSION >= 3
  #define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
  #else
  #define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
  #endif
  #define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
  #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
  static int __Pyx_sys_getdefaultencoding_not_ascii;
  static int __Pyx_init_sys_getdefaultencoding_params(void) {
      PyObject* sys;
      PyObject* default_encoding = NULL;
      PyObject* ascii_chars_u = NULL;
      PyObject* ascii_chars_b = NULL;
      const char* default_encoding_c;
      sys = PyImport_ImportModule("sys");
      if (!sys) goto bad;
      default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
      Py_DECREF(sys);
      if (!default_encoding) goto bad;
      default_encoding_c = PyBytes_AsString(default_encoding);
      if (!default_encoding_c) goto bad;
      if (strcmp(default_encoding_c, "ascii") == 0) {
          __Pyx_sys_getdefaultencoding_not_ascii = 0;
      } else {
          char ascii_chars[128];
          int c;
          for (c = 0; c < 128; c++) {
              ascii_chars[c] = c;
          }
          __Pyx_sys_getdefaultencoding_not_ascii = 1;
          ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
          if (!ascii_chars_u) goto bad;
          ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
          if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
              PyErr_Format(
                  PyExc_ValueError,
                  "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
                  default_encoding_c);
              goto bad;
          }
          Py_DECREF(ascii_chars_u);
          Py_DECREF(ascii_chars_b);
      }
      Py_DECREF(default_encoding);
      return 0;
  bad:
      Py_XDECREF(default_encoding);
      Py_XDECREF(ascii_chars_u);
      Py_XDECREF(ascii_chars_b);
      return -1;
  }
  #endif
  #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
  #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
  #else
  #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
  #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
  static char* __PYX_DEFAULT_STRING_ENCODING;
  static int __Pyx_init_sys_getdefaultencoding_params(void) {
      PyObject* sys;
      PyObject* default_encoding = NULL;
      char* default_encoding_c;
      sys = PyImport_ImportModule("sys");
      if (!sys) goto bad;
      default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
      Py_DECREF(sys);
      if (!default_encoding) goto bad;
      default_encoding_c = PyBytes_AsString(default_encoding);
      if (!default_encoding_c) goto bad;
      __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);
      if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
      strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
      Py_DECREF(default_encoding);
      return 0;
  bad:
      Py_XDECREF(default_encoding);
      return -1;
  }
  #endif
  #endif
  
  
  /* Test for GCC > 2.95 */
  #if defined(__GNUC__)     && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
    #define likely(x)   __builtin_expect(!!(x), 1)
    #define unlikely(x) __builtin_expect(!!(x), 0)
  #else /* !__GNUC__ or GCC < 2.95 */
    #define likely(x)   (x)
    #define unlikely(x) (x)
  #endif /* __GNUC__ */
  static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }
  
  static PyObject *__pyx_m = NULL;
  static PyObject *__pyx_d;
  static PyObject *__pyx_b;
  static PyObject *__pyx_cython_runtime = NULL;
  static PyObject *__pyx_empty_tuple;
  static PyObject *__pyx_empty_bytes;
  static PyObject *__pyx_empty_unicode;
  static int __pyx_lineno;
  static int __pyx_clineno = 0;
  static const char * __pyx_cfilenm= __FILE__;
  static const char *__pyx_filename;
  
  /* Header.proto */
  #if !defined(CYTHON_CCOMPLEX)
    #if defined(__cplusplus)
      #define CYTHON_CCOMPLEX 1
    #elif defined(_Complex_I)
      #define CYTHON_CCOMPLEX 1
    #else
      #define CYTHON_CCOMPLEX 0
    #endif
  #endif
  #if CYTHON_CCOMPLEX
    #ifdef __cplusplus
      #include <complex>
    #else
      #include <complex.h>
    #endif
  #endif
  #if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
    #undef _Complex_I
    #define _Complex_I 1.0fj
  #endif
  
  
  static const char *__pyx_f[] = {
    "gensim/models/doc2vec_inner.pyx",
    ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd",
    ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/cpython/type.pxd",
  };
  /* NoFastGil.proto */
  #define __Pyx_PyGILState_Ensure PyGILState_Ensure
  #define __Pyx_PyGILState_Release PyGILState_Release
  #define __Pyx_FastGIL_Remember()
  #define __Pyx_FastGIL_Forget()
  #define __Pyx_FastGilFuncInit()
  
  /* ForceInitThreads.proto */
  #ifndef __PYX_FORCE_INIT_THREADS
    #define __PYX_FORCE_INIT_THREADS 0
  #endif
  
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":776
   * # 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":777
   * 
   * ctypedef npy_int8       int8_t
   * ctypedef npy_int16      int16_t             # <<<<<<<<<<<<<<
   * ctypedef npy_int32      int32_t
   * ctypedef npy_int64      int64_t
   */
  typedef npy_int16 __pyx_t_5numpy_int16_t;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":778
   * 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":779
   * 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":783
   * #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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":784
   * 
   * ctypedef npy_uint8      uint8_t
   * ctypedef npy_uint16     uint16_t             # <<<<<<<<<<<<<<
   * ctypedef npy_uint32     uint32_t
   * ctypedef npy_uint64     uint64_t
   */
  typedef npy_uint16 __pyx_t_5numpy_uint16_t;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":785
   * 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":786
   * 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":790
   * #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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":791
   * 
   * 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":800
   * # 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":801
   * # 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":802
   * 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":804
   * 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":805
   * 
   * ctypedef npy_ulong      uint_t
   * ctypedef npy_ulonglong  ulong_t             # <<<<<<<<<<<<<<
   * ctypedef npy_ulonglong  ulonglong_t
   * 
   */
  typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":806
   * 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":808
   * ctypedef npy_ulonglong  ulonglong_t
   * 
   * ctypedef npy_intp       intp_t             # <<<<<<<<<<<<<<
   * ctypedef npy_uintp      uintp_t
   * 
   */
  typedef npy_intp __pyx_t_5numpy_intp_t;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":809
   * 
   * ctypedef npy_intp       intp_t
   * ctypedef npy_uintp      uintp_t             # <<<<<<<<<<<<<<
   * 
   * ctypedef npy_double     float_t
   */
  typedef npy_uintp __pyx_t_5numpy_uintp_t;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":811
   * 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":812
   * 
   * ctypedef npy_double     float_t
   * ctypedef npy_double     double_t             # <<<<<<<<<<<<<<
   * ctypedef npy_longdouble longdouble_t
   * 
   */
  typedef npy_double __pyx_t_5numpy_double_t;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":813
   * 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;
  
  /* "word2vec_inner.pxd":19
   *     void* PyCObject_AsVoidPtr(object obj)
   * 
   * ctypedef np.float32_t REAL_t             # <<<<<<<<<<<<<<
   * 
   * # BLAS routine signatures
   */
  typedef __pyx_t_5numpy_float32_t __pyx_t_6gensim_6models_14word2vec_inner_REAL_t;
  /* Declarations.proto */
  #if CYTHON_CCOMPLEX
    #ifdef __cplusplus
      typedef ::std::complex< float > __pyx_t_float_complex;
    #else
      typedef float _Complex __pyx_t_float_complex;
    #endif
  #else
      typedef struct { float real, imag; } __pyx_t_float_complex;
  #endif
  static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float);
  
  /* Declarations.proto */
  #if CYTHON_CCOMPLEX
    #ifdef __cplusplus
      typedef ::std::complex< double > __pyx_t_double_complex;
    #else
      typedef double _Complex __pyx_t_double_complex;
    #endif
  #else
      typedef struct { double real, imag; } __pyx_t_double_complex;
  #endif
  static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double);
  
  
  /*--- Type declarations ---*/
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":815
   * 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":816
   * 
   * ctypedef npy_cfloat      cfloat_t
   * ctypedef npy_cdouble     cdouble_t             # <<<<<<<<<<<<<<
   * ctypedef npy_clongdouble clongdouble_t
   * 
   */
  typedef npy_cdouble __pyx_t_5numpy_cdouble_t;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":817
   * 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;
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":819
   * ctypedef npy_clongdouble clongdouble_t
   * 
   * ctypedef npy_cdouble     complex_t             # <<<<<<<<<<<<<<
   * 
   * cdef inline object PyArray_MultiIterNew1(a):
   */
  typedef npy_cdouble __pyx_t_5numpy_complex_t;
  struct __pyx_t_6gensim_6models_14word2vec_inner_Word2VecConfig;
  struct __pyx_opt_args_6gensim_6models_14word2vec_inner_init_w2v_config;
  
  /* "word2vec_inner.pxd":22
   * 
   * # 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 *);
  
  /* "word2vec_inner.pxd":23
   * # BLAS routine signatures
   * ctypedef void (*scopy_ptr) (const int *N, const float *X, const int *incX, float *Y, const int *incY) nogil
   * ctypedef void (*saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil             # <<<<<<<<<<<<<<
   * ctypedef float (*sdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
   * 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 *);
  
  /* "word2vec_inner.pxd":24
   * 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 *);
  
  /* "word2vec_inner.pxd":25
   * 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 *);
  
  /* "word2vec_inner.pxd":26
   * ctypedef float (*sdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
   * ctypedef double (*dsdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
   * ctypedef double (*snrm2_ptr) (const int *N, const float *X, const int *incX) nogil             # <<<<<<<<<<<<<<
   * ctypedef void (*sscal_ptr) (const int *N, const float *alpha, const float *X, const int *incX) nogil
   * 
   */
  typedef double (*__pyx_t_6gensim_6models_14word2vec_inner_snrm2_ptr)(int const *, float const *, int const *);
  
  /* "word2vec_inner.pxd":27
   * ctypedef double (*dsdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
   * ctypedef double (*snrm2_ptr) (const int *N, const float *X, const int *incX) nogil
   * ctypedef void (*sscal_ptr) (const int *N, const float *alpha, const float *X, const int *incX) nogil             # <<<<<<<<<<<<<<
   * 
   * cdef scopy_ptr scopy
   */
  typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_sscal_ptr)(int const *, float const *, float const *, int const *);
  
  /* "word2vec_inner.pxd":44
   * 
   * # 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 *);
  
  /* "word2vec_inner.pxd":45
   * # function implementations swapped based on BLAS detected in word2vec_inner.pyx init()
   * ctypedef REAL_t (*our_dot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
   * ctypedef void (*our_saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil             # <<<<<<<<<<<<<<
   * 
   * 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 *);
  
  /* "word2vec_inner.pxd":51
   * 
   * 
   * cdef struct Word2VecConfig:             # <<<<<<<<<<<<<<
   *     int hs, negative, sample, compute_loss, size, window, cbow_mean, workers
   *     REAL_t running_training_loss, alpha
   */
  struct __pyx_t_6gensim_6models_14word2vec_inner_Word2VecConfig {
    int hs;
    int negative;
    int sample;
    int compute_loss;
    int size;
    int window;
    int cbow_mean;
    int workers;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t running_training_loss;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t alpha;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *syn0;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *word_locks;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *work;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *neu1;
    int codelens[0x2710];
    __pyx_t_5numpy_uint32_t indexes[0x2710];
    __pyx_t_5numpy_uint32_t reduced_windows[0x2710];
    int sentence_idx[(0x2710 + 1)];
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *syn1;
    __pyx_t_5numpy_uint32_t *points[0x2710];
    __pyx_t_5numpy_uint8_t *codes[0x2710];
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *syn1neg;
    __pyx_t_5numpy_uint32_t *cum_table;
    unsigned PY_LONG_LONG cum_table_len;
    unsigned PY_LONG_LONG next_random;
  };
  
  /* "word2vec_inner.pxd":125
   * 
   * 
   * cdef init_w2v_config(Word2VecConfig *c, model, alpha, compute_loss, _work, _neu1=*)             # <<<<<<<<<<<<<<
   */
  struct __pyx_opt_args_6gensim_6models_14word2vec_inner_init_w2v_config {
    int __pyx_n;
    PyObject *_neu1;
  };
  struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig;
  struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config;
  
  /* "gensim/models/doc2vec_inner.pxd":23
   * 
   * 
   * cdef struct Doc2VecConfig:             # <<<<<<<<<<<<<<
   *     int hs, negative, sample, learn_doctags, learn_words, learn_hidden, train_words, cbow_mean
   *     int document_len, doctag_len, window, expected_doctag_len, null_word_index, workers, docvecs_count
   */
  struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig {
    int hs;
    int negative;
    int sample;
    int learn_doctags;
    int learn_words;
    int learn_hidden;
    int train_words;
    int cbow_mean;
    int document_len;
    int doctag_len;
    int window;
    int expected_doctag_len;
    int null_word_index;
    int workers;
    int docvecs_count;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *word_vectors;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *doctag_vectors;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *word_locks;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *doctag_locks;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *work;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *neu1;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t alpha;
    int layer1_size;
    int vector_size;
    int codelens[0x2710];
    __pyx_t_5numpy_uint32_t indexes[0x2710];
    __pyx_t_5numpy_uint32_t doctag_indexes[0x2710];
    __pyx_t_5numpy_uint32_t window_indexes[0x2710];
    __pyx_t_5numpy_uint32_t reduced_windows[0x2710];
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *syn1;
    __pyx_t_5numpy_uint32_t *points[0x2710];
    __pyx_t_5numpy_uint8_t *codes[0x2710];
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *syn1neg;
    __pyx_t_5numpy_uint32_t *cum_table;
    unsigned PY_LONG_LONG cum_table_len;
    unsigned PY_LONG_LONG next_random;
  };
  
  /* "gensim/models/doc2vec_inner.pxd":91
   * 
   * 
   * cdef init_d2v_config(Doc2VecConfig *c, model, alpha, learn_doctags, learn_words, learn_hidden, train_words=*, work=*,             # <<<<<<<<<<<<<<
   *                      neu1=*, word_vectors=*, word_locks=*, doctag_vectors=*, doctag_locks=*, docvecs_count=*)
   */
  struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config {
    int __pyx_n;
    PyObject *train_words;
    PyObject *work;
    PyObject *neu1;
    PyObject *word_vectors;
    PyObject *word_locks;
    PyObject *doctag_vectors;
    PyObject *doctag_locks;
    PyObject *docvecs_count;
  };
  
  /* --- Runtime support code (head) --- */
  /* Refnanny.proto */
  #ifndef CYTHON_REFNANNY
    #define CYTHON_REFNANNY 0
  #endif
  #if CYTHON_REFNANNY
    typedef struct {
      void (*INCREF)(void*, PyObject*, int);
      void (*DECREF)(void*, PyObject*, int);
      void (*GOTREF)(void*, PyObject*, int);
      void (*GIVEREF)(void*, PyObject*, int);
      void* (*SetupContext)(const char*, int, const char*);
      void (*FinishContext)(void**);
    } __Pyx_RefNannyAPIStruct;
    static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL;
    static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname);
    #define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL;
  #ifdef WITH_THREAD
    #define __Pyx_RefNannySetupContext(name, acquire_gil)\
            if (acquire_gil) {\
                PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure();\
                __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__);\
                PyGILState_Release(__pyx_gilstate_save);\
            } else {\
                __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__);\
            }
  #else
    #define __Pyx_RefNannySetupContext(name, acquire_gil)\
            __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__)
  #endif
    #define __Pyx_RefNannyFinishContext()\
            __Pyx_RefNanny->FinishContext(&__pyx_refnanny)
    #define __Pyx_INCREF(r)  __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
    #define __Pyx_DECREF(r)  __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
    #define __Pyx_GOTREF(r)  __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
    #define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
    #define __Pyx_XINCREF(r)  do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0)
    #define __Pyx_XDECREF(r)  do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0)
    #define __Pyx_XGOTREF(r)  do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
    #define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0)
  #else
    #define __Pyx_RefNannyDeclarations
    #define __Pyx_RefNannySetupContext(name, acquire_gil)
    #define __Pyx_RefNannyFinishContext()
    #define __Pyx_INCREF(r) Py_INCREF(r)
    #define __Pyx_DECREF(r) Py_DECREF(r)
    #define __Pyx_GOTREF(r)
    #define __Pyx_GIVEREF(r)
    #define __Pyx_XINCREF(r) Py_XINCREF(r)
    #define __Pyx_XDECREF(r) Py_XDECREF(r)
    #define __Pyx_XGOTREF(r)
    #define __Pyx_XGIVEREF(r)
  #endif
  #define __Pyx_XDECREF_SET(r, v) do {\
          PyObject *tmp = (PyObject *) r;\
          r = v; __Pyx_XDECREF(tmp);\
      } while (0)
  #define __Pyx_DECREF_SET(r, v) do {\
          PyObject *tmp = (PyObject *) r;\
          r = v; __Pyx_DECREF(tmp);\
      } while (0)
  #define __Pyx_CLEAR(r)    do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0)
  #define __Pyx_XCLEAR(r)   do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0)
  
  /* PyObjectGetAttrStr.proto */
  #if CYTHON_USE_TYPE_SLOTS
  static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name);
  #else
  #define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n)
  #endif
  
  /* GetBuiltinName.proto */
  static PyObject *__Pyx_GetBuiltinName(PyObject *name);
  
  /* PyIntCompare.proto */
  static CYTHON_INLINE PyObject* __Pyx_PyInt_NeObjC(PyObject *op1, PyObject *op2, long intval, long inplace);
  
  /* PySequenceContains.proto */
  static CYTHON_INLINE int __Pyx_PySequence_ContainsTF(PyObject* item, PyObject* seq, int eq) {
      int result = PySequence_Contains(seq, item);
      return unlikely(result < 0) ? result : (result == (eq == Py_EQ));
  }
  
  /* DictGetItem.proto */
  #if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
  static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key);
  #define __Pyx_PyObject_Dict_GetItem(obj, name)\
      (likely(PyDict_CheckExact(obj)) ?\
       __Pyx_PyDict_GetItem(obj, name) : PyObject_GetItem(obj, name))
  #else
  #define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key)
  #define __Pyx_PyObject_Dict_GetItem(obj, name)  PyObject_GetItem(obj, name)
  #endif
  
  /* ExtTypeTest.proto */
  static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);
  
  /* PyObjectCall.proto */
  #if CYTHON_COMPILING_IN_CPYTHON
  static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
  #else
  #define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
  #endif
  
  /* PyDictVersioning.proto */
  #if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
  #define __PYX_DICT_VERSION_INIT  ((PY_UINT64_T) -1)
  #define __PYX_GET_DICT_VERSION(dict)  (((PyDictObject*)(dict))->ma_version_tag)
  #define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\
      (version_var) = __PYX_GET_DICT_VERSION(dict);\
      (cache_var) = (value);
  #define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\
      static PY_UINT64_T __pyx_dict_version = 0;\
      static PyObject *__pyx_dict_cached_value = NULL;\
      if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\
          (VAR) = __pyx_dict_cached_value;\
      } else {\
          (VAR) = __pyx_dict_cached_value = (LOOKUP);\
          __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\
      }\
  }
  static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj);
  static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj);
  static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version);
  #else
  #define __PYX_GET_DICT_VERSION(dict)  (0)
  #define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)
  #define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP)  (VAR) = (LOOKUP);
  #endif
  
  /* GetModuleGlobalName.proto */
  #if CYTHON_USE_DICT_VERSIONS
  #define __Pyx_GetModuleGlobalName(var, name)  {\
      static PY_UINT64_T __pyx_dict_version = 0;\
      static PyObject *__pyx_dict_cached_value = NULL;\
      (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\
          (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\
          __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
  }
  #define __Pyx_GetModuleGlobalNameUncached(var, name)  {\
      PY_UINT64_T __pyx_dict_version;\
      PyObject *__pyx_dict_cached_value;\
      (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
  }
  static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value);
  #else
  #define __Pyx_GetModuleGlobalName(var, name)  (var) = __Pyx__GetModuleGlobalName(name)
  #define __Pyx_GetModuleGlobalNameUncached(var, name)  (var) = __Pyx__GetModuleGlobalName(name)
  static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name);
  #endif
  
  /* RaiseArgTupleInvalid.proto */
  static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
      Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found);
  
  /* RaiseDoubleKeywords.proto */
  static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name);
  
  /* ParseKeywords.proto */
  static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\
      PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\
      const char* function_name);
  
  /* GetItemInt.proto */
  #define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
      (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
      __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\
      (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\
                 __Pyx_GetItemInt_Generic(o, to_py_func(i))))
  #define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
      (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
      __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
      (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL))
  static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
                                                                int wraparound, int boundscheck);
  #define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
      (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
      __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
      (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL))
  static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
                                                                int wraparound, int boundscheck);
  static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j);
  static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i,
                                                       int is_list, int wraparound, int boundscheck);
  
  /* ObjectGetItem.proto */
  #if CYTHON_USE_TYPE_SLOTS
  static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key);
  #else
  #define __Pyx_PyObject_GetItem(obj, key)  PyObject_GetItem(obj, key)
  #endif
  
  /* PyFunctionFastCall.proto */
  #if CYTHON_FAST_PYCALL
  #define __Pyx_PyFunction_FastCall(func, args, nargs)\
      __Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL)
  #if 1 || PY_VERSION_HEX < 0x030600B1
  static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs);
  #else
  #define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)
  #endif
  #define __Pyx_BUILD_ASSERT_EXPR(cond)\
      (sizeof(char [1 - 2*!(cond)]) - 1)
  #ifndef Py_MEMBER_SIZE
  #define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member)
  #endif
    static size_t __pyx_pyframe_localsplus_offset = 0;
    #include "frameobject.h"
    #define __Pxy_PyFrame_Initialize_Offsets()\
      ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\
       (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus)))
    #define __Pyx_PyFrame_GetLocalsplus(frame)\
      (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset))
  #endif
  
  /* PyCFunctionFastCall.proto */
  #if CYTHON_FAST_PYCCALL
  static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
  #else
  #define __Pyx_PyCFunction_FastCall(func, args, nargs)  (assert(0), NULL)
  #endif
  
  /* PyThreadStateGet.proto */
  #if CYTHON_FAST_THREAD_STATE
  #define __Pyx_PyThreadState_declare  PyThreadState *__pyx_tstate;
  #define __Pyx_PyThreadState_assign  __pyx_tstate = __Pyx_PyThreadState_Current;
  #define __Pyx_PyErr_Occurred()  __pyx_tstate->curexc_type
  #else
  #define __Pyx_PyThreadState_declare
  #define __Pyx_PyThreadState_assign
  #define __Pyx_PyErr_Occurred()  PyErr_Occurred()
  #endif
  
  /* PyErrFetchRestore.proto */
  #if CYTHON_FAST_THREAD_STATE
  #define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
  #define __Pyx_ErrRestoreWithState(type, value, tb)  __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
  #define __Pyx_ErrFetchWithState(type, value, tb)    __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb)
  #define __Pyx_ErrRestore(type, value, tb)  __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)
  #define __Pyx_ErrFetch(type, value, tb)    __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb)
  static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
  static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
  #if CYTHON_COMPILING_IN_CPYTHON
  #define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL))
  #else
  #define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
  #endif
  #else
  #define __Pyx_PyErr_Clear() PyErr_Clear()
  #define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
  #define __Pyx_ErrRestoreWithState(type, value, tb)  PyErr_Restore(type, value, tb)
  #define __Pyx_ErrFetchWithState(type, value, tb)  PyErr_Fetch(type, value, tb)
  #define __Pyx_ErrRestoreInState(tstate, type, value, tb)  PyErr_Restore(type, value, tb)
  #define __Pyx_ErrFetchInState(tstate, type, value, tb)  PyErr_Fetch(type, value, tb)
  #define __Pyx_ErrRestore(type, value, tb)  PyErr_Restore(type, value, tb)
  #define __Pyx_ErrFetch(type, value, tb)  PyErr_Fetch(type, value, tb)
  #endif
  
  /* RaiseException.proto */
  static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
  
  /* PyObjectCallMethO.proto */
  #if CYTHON_COMPILING_IN_CPYTHON
  static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
  #endif
  
  /* PyObjectCallOneArg.proto */
  static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);
  
  /* 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);
  
  /* GetTopmostException.proto */
  #if CYTHON_USE_EXC_INFO_STACK
  static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate);
  #endif
  
  /* SaveResetException.proto */
  #if CYTHON_FAST_THREAD_STATE
  #define __Pyx_ExceptionSave(type, value, tb)  __Pyx__ExceptionSave(__pyx_tstate, type, value, tb)
  static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
  #define __Pyx_ExceptionReset(type, value, tb)  __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)
  static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
  #else
  #define __Pyx_ExceptionSave(type, value, tb)   PyErr_GetExcInfo(type, value, tb)
  #define __Pyx_ExceptionReset(type, value, tb)  PyErr_SetExcInfo(type, value, tb)
  #endif
  
  /* PyErrExceptionMatches.proto */
  #if CYTHON_FAST_THREAD_STATE
  #define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err)
  static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err);
  #else
  #define __Pyx_PyErr_ExceptionMatches(err)  PyErr_ExceptionMatches(err)
  #endif
  
  /* GetException.proto */
  #if CYTHON_FAST_THREAD_STATE
  #define __Pyx_GetException(type, value, tb)  __Pyx__GetException(__pyx_tstate, type, value, tb)
  static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
  #else
  static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
  #endif
  
  /* TypeImport.proto */
  #ifndef __PYX_HAVE_RT_ImportType_proto
  #define __PYX_HAVE_RT_ImportType_proto
  enum __Pyx_ImportType_CheckSize {
     __Pyx_ImportType_CheckSize_Error = 0,
     __Pyx_ImportType_CheckSize_Warn = 1,
     __Pyx_ImportType_CheckSize_Ignore = 2
  };
  static PyTypeObject *__Pyx_ImportType(PyObject* module, const char *module_name, const char *class_name, size_t size, enum __Pyx_ImportType_CheckSize check_size);
  #endif
  
  /* Import.proto */
  static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
  
  /* ImportFrom.proto */
  static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
  
  /* CLineInTraceback.proto */
  #ifdef CYTHON_CLINE_IN_TRACEBACK
  #define __Pyx_CLineForTraceback(tstate, c_line)  (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
  #else
  static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
  #endif
  
  /* CodeObjectCache.proto */
  typedef struct {
      PyCodeObject* code_object;
      int code_line;
  } __Pyx_CodeObjectCacheEntry;
  struct __Pyx_CodeObjectCache {
      int count;
      int max_count;
      __Pyx_CodeObjectCacheEntry* entries;
  };
  static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
  static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
  static PyCodeObject *__pyx_find_code_object(int code_line);
  static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
  
  /* AddTraceback.proto */
  static void __Pyx_AddTraceback(const char *funcname, int c_line,
                                 int py_line, const char *filename);
  
  /* CIntToPy.proto */
  static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
  
  /* CIntToPy.proto */
  static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
  
  /* 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))
    #endif
  #else
      #define __Pyx_CREAL(z) ((z).real)
      #define __Pyx_CIMAG(z) ((z).imag)
  #endif
  #if defined(__cplusplus) && CYTHON_CCOMPLEX\
          && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103)
      #define __Pyx_SET_CREAL(z,x) ((z).real(x))
      #define __Pyx_SET_CIMAG(z,y) ((z).imag(y))
  #else
      #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x)
      #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y)
  #endif
  
  /* Arithmetic.proto */
  #if CYTHON_CCOMPLEX
      #define __Pyx_c_eq_float(a, b)   ((a)==(b))
      #define __Pyx_c_sum_float(a, b)  ((a)+(b))
      #define __Pyx_c_diff_float(a, b) ((a)-(b))
      #define __Pyx_c_prod_float(a, b) ((a)*(b))
      #define __Pyx_c_quot_float(a, b) ((a)/(b))
      #define __Pyx_c_neg_float(a)     (-(a))
    #ifdef __cplusplus
      #define __Pyx_c_is_zero_float(z) ((z)==(float)0)
      #define __Pyx_c_conj_float(z)    (::std::conj(z))
      #if 1
          #define __Pyx_c_abs_float(z)     (::std::abs(z))
          #define __Pyx_c_pow_float(a, b)  (::std::pow(a, b))
      #endif
    #else
      #define __Pyx_c_is_zero_float(z) ((z)==0)
      #define __Pyx_c_conj_float(z)    (conjf(z))
      #if 1
          #define __Pyx_c_abs_float(z)     (cabsf(z))
          #define __Pyx_c_pow_float(a, b)  (cpowf(a, b))
      #endif
   #endif
  #else
      static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex);
      static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex);
      static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex);
      static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex);
      static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex);
      static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex);
      static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex);
      static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex);
      #if 1
          static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex);
          static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex);
      #endif
  #endif
  
  /* Arithmetic.proto */
  #if CYTHON_CCOMPLEX
      #define __Pyx_c_eq_double(a, b)   ((a)==(b))
      #define __Pyx_c_sum_double(a, b)  ((a)+(b))
      #define __Pyx_c_diff_double(a, b) ((a)-(b))
      #define __Pyx_c_prod_double(a, b) ((a)*(b))
      #define __Pyx_c_quot_double(a, b) ((a)/(b))
      #define __Pyx_c_neg_double(a)     (-(a))
    #ifdef __cplusplus
      #define __Pyx_c_is_zero_double(z) ((z)==(double)0)
      #define __Pyx_c_conj_double(z)    (::std::conj(z))
      #if 1
          #define __Pyx_c_abs_double(z)     (::std::abs(z))
          #define __Pyx_c_pow_double(a, b)  (::std::pow(a, b))
      #endif
    #else
      #define __Pyx_c_is_zero_double(z) ((z)==0)
      #define __Pyx_c_conj_double(z)    (conj(z))
      #if 1
          #define __Pyx_c_abs_double(z)     (cabs(z))
          #define __Pyx_c_pow_double(a, b)  (cpow(a, b))
      #endif
   #endif
  #else
      static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex);
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex);
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex);
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex);
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex);
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex);
      static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex);
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex);
      #if 1
          static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex);
          static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex);
      #endif
  #endif
  
  /* CIntToPy.proto */
  static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value);
  
  /* CIntFromPy.proto */
  static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_As_PY_LONG_LONG(PyObject *);
  
  /* CIntFromPy.proto */
  static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
  
  /* CIntFromPy.proto */
  static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_As_unsigned_PY_LONG_LONG(PyObject *);
  
  /* CIntFromPy.proto */
  static CYTHON_INLINE npy_uint32 __Pyx_PyInt_As_npy_uint32(PyObject *);
  
  /* CIntFromPy.proto */
  static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
  
  /* FastTypeChecks.proto */
  #if CYTHON_COMPILING_IN_CPYTHON
  #define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
  static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
  static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
  static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);
  #else
  #define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
  #define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
  #define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))
  #endif
  #define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)
  
  /* CheckBinaryVersion.proto */
  static int __Pyx_check_binary_version(void);
  
  /* FunctionExport.proto */
  static int __Pyx_ExportFunction(const char *name, void (*f)(void), const char *sig);
  
  /* VoidPtrImport.proto */
  static int __Pyx_ImportVoidPtr(PyObject *module, const char *name, void **p, const char *sig);
  
  /* FunctionImport.proto */
  static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig);
  
  /* InitStrings.proto */
  static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
  
  
  /* Module declarations from 'cpython.buffer' */
  
  /* Module declarations from 'libc.string' */
  
  /* Module declarations from 'libc.stdio' */
  
  /* Module declarations from '__builtin__' */
  
  /* Module declarations from 'cpython.type' */
  static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;
  
  /* Module declarations from 'cpython' */
  
  /* Module declarations from 'cpython.object' */
  
  /* Module declarations from 'cpython.ref' */
  
  /* Module declarations from 'cpython.mem' */
  
  /* Module declarations from 'numpy' */
  
  /* Module declarations from 'numpy' */
  static PyTypeObject *__pyx_ptype_5numpy_dtype = 0;
  static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;
  static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;
  static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;
  static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;
  static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/
  
  /* Module declarations from 'gensim.models.word2vec_inner' */
  static __pyx_t_6gensim_6models_14word2vec_inner_scopy_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_scopy = 0;
  #define __pyx_v_6gensim_6models_14word2vec_inner_scopy (*__pyx_vp_6gensim_6models_14word2vec_inner_scopy)
  static __pyx_t_6gensim_6models_14word2vec_inner_saxpy_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_saxpy = 0;
  #define __pyx_v_6gensim_6models_14word2vec_inner_saxpy (*__pyx_vp_6gensim_6models_14word2vec_inner_saxpy)
  static __pyx_t_6gensim_6models_14word2vec_inner_sdot_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_sdot = 0;
  #define __pyx_v_6gensim_6models_14word2vec_inner_sdot (*__pyx_vp_6gensim_6models_14word2vec_inner_sdot)
  static __pyx_t_6gensim_6models_14word2vec_inner_dsdot_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_dsdot = 0;
  #define __pyx_v_6gensim_6models_14word2vec_inner_dsdot (*__pyx_vp_6gensim_6models_14word2vec_inner_dsdot)
  static __pyx_t_6gensim_6models_14word2vec_inner_snrm2_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_snrm2 = 0;
  #define __pyx_v_6gensim_6models_14word2vec_inner_snrm2 (*__pyx_vp_6gensim_6models_14word2vec_inner_snrm2)
  static __pyx_t_6gensim_6models_14word2vec_inner_sscal_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_sscal = 0;
  #define __pyx_v_6gensim_6models_14word2vec_inner_sscal (*__pyx_vp_6gensim_6models_14word2vec_inner_sscal)
  static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t (*__pyx_vp_6gensim_6models_14word2vec_inner_EXP_TABLE)[0x3E8] = 0;
  #define __pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE (*__pyx_vp_6gensim_6models_14word2vec_inner_EXP_TABLE)
  static __pyx_t_6gensim_6models_14word2vec_inner_our_dot_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_our_dot = 0;
  #define __pyx_v_6gensim_6models_14word2vec_inner_our_dot (*__pyx_vp_6gensim_6models_14word2vec_inner_our_dot)
  static __pyx_t_6gensim_6models_14word2vec_inner_our_saxpy_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_our_saxpy = 0;
  #define __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy (*__pyx_vp_6gensim_6models_14word2vec_inner_our_saxpy)
  static unsigned PY_LONG_LONG (*__pyx_f_6gensim_6models_14word2vec_inner_bisect_left)(__pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG); /*proto*/
  static unsigned PY_LONG_LONG (*__pyx_f_6gensim_6models_14word2vec_inner_random_int32)(unsigned PY_LONG_LONG *); /*proto*/
  
  /* Module declarations from 'cython' */
  
  /* Module declarations from 'gensim.models.doc2vec_inner' */
  static int __pyx_v_6gensim_6models_13doc2vec_inner_ONE;
  static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_13doc2vec_inner_ONEF;
  static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
  static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, unsigned PY_LONG_LONG, int, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
  static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int); /*proto*/
  static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_neg(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int); /*proto*/
  static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int const , int); /*proto*/
  static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_neg(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int const , int); /*proto*/
  static PyObject *__pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config(struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig *, PyObject *, PyObject *, PyObject *, PyObject *, PyObject *, struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config *__pyx_optional_args); /*proto*/
  #define __Pyx_MODULE_NAME "gensim.models.doc2vec_inner"
  extern int __pyx_module_is_main_gensim__models__doc2vec_inner;
  int __pyx_module_is_main_gensim__models__doc2vec_inner = 0;
  
  /* Implementation of 'gensim.models.doc2vec_inner' */
  static PyObject *__pyx_builtin_ImportError;
  static PyObject *__pyx_builtin_range;
  static PyObject *__pyx_builtin_enumerate;
  static PyObject *__pyx_builtin_ValueError;
  static PyObject *__pyx_builtin_RuntimeError;
  static const char __pyx_k_[] = "\000";
  static const char __pyx_k_c[] = "c";
  static const char __pyx_k_i[] = "i";
  static const char __pyx_k_j[] = "j";
  static const char __pyx_k_k[] = "k";
  static const char __pyx_k_m[] = "m";
  static const char __pyx_k_n[] = "n";
  static const char __pyx_k_hs[] = "hs";
  static const char __pyx_k_np[] = "np";
  static const char __pyx_k_wv[] = "wv";
  static const char __pyx_k__10[] = "*";
  static const char __pyx_k_REAL[] = "REAL";
  static const char __pyx_k_code[] = "code";
  static const char __pyx_k_item[] = "item";
  static const char __pyx_k_main[] = "__main__";
  static const char __pyx_k_name[] = "__name__";
  static const char __pyx_k_neu1[] = "neu1";
  static const char __pyx_k_syn1[] = "syn1";
  static const char __pyx_k_test[] = "__test__";
  static const char __pyx_k_work[] = "work";
  static const char __pyx_k_alpha[] = "alpha";
  static const char __pyx_k_count[] = "count";
  static const char __pyx_k_dtype[] = "dtype";
  static const char __pyx_k_fblas[] = "fblas";
  static const char __pyx_k_index[] = "index";
  static const char __pyx_k_model[] = "model";
  static const char __pyx_k_numpy[] = "numpy";
  static const char __pyx_k_point[] = "point";
  static const char __pyx_k_range[] = "range";
  static const char __pyx_k_token[] = "token";
  static const char __pyx_k_vocab[] = "vocab";
  static const char __pyx_k_zeros[] = "zeros";
  static const char __pyx_k_import[] = "__import__";
  static const char __pyx_k_random[] = "random";
  static const char __pyx_k_result[] = "result";
  static const char __pyx_k_sample[] = "sample";
  static const char __pyx_k_window[] = "window";
  static const char __pyx_k_docvecs[] = "docvecs";
  static const char __pyx_k_float32[] = "float32";
  static const char __pyx_k_randint[] = "randint";
  static const char __pyx_k_syn1neg[] = "syn1neg";
  static const char __pyx_k_vectors[] = "vectors";
  static const char __pyx_k_vlookup[] = "vlookup";
  static const char __pyx_k_workers[] = "workers";
  static const char __pyx_k_negative[] = "negative";
  static const char __pyx_k_cbow_mean[] = "cbow_mean";
  static const char __pyx_k_cum_table[] = "cum_table";
  static const char __pyx_k_doc_words[] = "doc_words";
  static const char __pyx_k_enumerate[] = "enumerate";
  static const char __pyx_k_inv_count[] = "inv_count";
  static const char __pyx_k_ValueError[] = "ValueError";
  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_layer1_size[] = "layer1_size";
  static const char __pyx_k_learn_words[] = "learn_words";
  static const char __pyx_k_train_words[] = "train_words";
  static const char __pyx_k_vector_size[] = "vector_size";
  static const char __pyx_k_RuntimeError[] = "RuntimeError";
  static const char __pyx_k_dm_tag_count[] = "dm_tag_count";
  static const char __pyx_k_doctag_locks[] = "doctag_locks";
  static const char __pyx_k_learn_hidden[] = "learn_hidden";
  static const char __pyx_k_predict_word[] = "predict_word";
  static const char __pyx_k_vectors_docs[] = "vectors_docs";
  static const char __pyx_k_word_vectors[] = "word_vectors";
  static const char __pyx_k_learn_doctags[] = "learn_doctags";
  static const char __pyx_k_vectors_lockf[] = "vectors_lockf";
  static const char __pyx_k_doctag_indexes[] = "doctag_indexes";
  static const char __pyx_k_doctag_vectors[] = "doctag_vectors";
  static const char __pyx_k_scipy_linalg_blas[] = "scipy.linalg.blas";
  static const char __pyx_k_train_document_dm[] = "train_document_dm";
  static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
  static const char __pyx_k_vectors_docs_lockf[] = "vectors_docs_lockf";
  static const char __pyx_k_train_document_dbow[] = "train_document_dbow";
  static const char __pyx_k_train_document_dm_concat[] = "train_document_dm_concat";
  static const char __pyx_k_gensim_models_doc2vec_inner[] = "gensim.models.doc2vec_inner";
  static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous";
  static const char __pyx_k_gensim_models_doc2vec_inner_pyx[] = "gensim/models/doc2vec_inner.pyx";
  static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import";
  static const char __pyx_k_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_Optimized_cython_functions_for_t[] = "Optimized cython functions for training :class:`~gensim.models.doc2vec.Doc2Vec` model.";
  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_kp_s_;
  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_ImportError;
  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_n_s_ValueError;
  static PyObject *__pyx_n_s__10;
  static PyObject *__pyx_n_s_alpha;
  static PyObject *__pyx_n_s_c;
  static PyObject *__pyx_n_s_cbow_mean;
  static PyObject *__pyx_n_s_cline_in_traceback;
  static PyObject *__pyx_n_s_code;
  static PyObject *__pyx_n_s_count;
  static PyObject *__pyx_n_s_cum_table;
  static PyObject *__pyx_n_s_dm_tag_count;
  static PyObject *__pyx_n_s_doc_words;
  static PyObject *__pyx_n_s_doctag_indexes;
  static PyObject *__pyx_n_s_doctag_locks;
  static PyObject *__pyx_n_s_doctag_vectors;
  static PyObject *__pyx_n_s_docvecs;
  static PyObject *__pyx_n_s_dtype;
  static PyObject *__pyx_n_s_enumerate;
  static PyObject *__pyx_n_s_fblas;
  static PyObject *__pyx_n_s_float32;
  static PyObject *__pyx_n_s_gensim_models_doc2vec_inner;
  static PyObject *__pyx_kp_s_gensim_models_doc2vec_inner_pyx;
  static PyObject *__pyx_n_s_hs;
  static PyObject *__pyx_n_s_i;
  static PyObject *__pyx_n_s_import;
  static PyObject *__pyx_n_s_index;
  static PyObject *__pyx_n_s_inv_count;
  static PyObject *__pyx_n_s_item;
  static PyObject *__pyx_n_s_j;
  static PyObject *__pyx_n_s_k;
  static PyObject *__pyx_n_s_layer1_size;
  static PyObject *__pyx_n_s_learn_doctags;
  static PyObject *__pyx_n_s_learn_hidden;
  static PyObject *__pyx_n_s_learn_words;
  static PyObject *__pyx_n_s_m;
  static PyObject *__pyx_n_s_main;
  static PyObject *__pyx_n_s_model;
  static PyObject *__pyx_n_s_n;
  static PyObject *__pyx_n_s_name;
  static PyObject *__pyx_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_np;
  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_point;
  static PyObject *__pyx_n_s_predict_word;
  static PyObject *__pyx_n_s_randint;
  static PyObject *__pyx_n_s_random;
  static PyObject *__pyx_n_s_range;
  static PyObject *__pyx_n_s_result;
  static PyObject *__pyx_n_s_sample;
  static PyObject *__pyx_n_s_sample_int;
  static PyObject *__pyx_n_s_scipy_linalg_blas;
  static PyObject *__pyx_n_s_syn1;
  static PyObject *__pyx_n_s_syn1neg;
  static PyObject *__pyx_n_s_test;
  static PyObject *__pyx_n_s_token;
  static PyObject *__pyx_n_s_train_document_dbow;
  static PyObject *__pyx_n_s_train_document_dm;
  static PyObject *__pyx_n_s_train_document_dm_concat;
  static PyObject *__pyx_n_s_train_words;
  static PyObject *__pyx_n_s_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_docs;
  static PyObject *__pyx_n_s_vectors_docs_lockf;
  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_window;
  static PyObject *__pyx_n_s_word_locks;
  static PyObject *__pyx_n_s_word_vectors;
  static PyObject *__pyx_n_s_work;
  static PyObject *__pyx_n_s_workers;
  static PyObject *__pyx_n_s_wv;
  static PyObject *__pyx_n_s_zeros;
  static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_train_document_dbow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_train_words, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_word_locks, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctag_locks); /* proto */
  static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_2train_document_dm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_word_locks, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctag_locks); /* proto */
  static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_4train_document_dm_concat(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_word_locks, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctag_locks); /* 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_int_0;
  static PyObject *__pyx_int_16777216;
  static PyObject *__pyx_tuple__2;
  static PyObject *__pyx_tuple__3;
  static PyObject *__pyx_tuple__4;
  static PyObject *__pyx_tuple__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__11;
  static PyObject *__pyx_tuple__13;
  static PyObject *__pyx_tuple__15;
  static PyObject *__pyx_codeobj__12;
  static PyObject *__pyx_codeobj__14;
  static PyObject *__pyx_codeobj__16;
  /* Late includes */
  
  /* "gensim/models/doc2vec_inner.pyx":37
   * DEF MAX_EXP = 6
   * 
   * cdef void fast_document_dbow_hs(             # <<<<<<<<<<<<<<
   *     const np.uint32_t *word_point, const np.uint8_t *word_code, const int codelen,
   *     REAL_t *context_vectors, REAL_t *syn1, const int size,
   */
  
  static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int const __pyx_v_codelen, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_context_vectors, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_context_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int __pyx_v_learn_context, int __pyx_v_learn_hidden, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_context_locks) {
    PY_LONG_LONG __pyx_v_b;
    PY_LONG_LONG __pyx_v_row1;
    PY_LONG_LONG __pyx_v_row2;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
    int __pyx_t_1;
    int __pyx_t_2;
    PY_LONG_LONG __pyx_t_3;
    int __pyx_t_4;
    int __pyx_t_5;
  
    /* "gensim/models/doc2vec_inner.pyx":44
   * 
   *     cdef long long a, b
   *     cdef long long row1 = context_index * size, row2             # <<<<<<<<<<<<<<
   *     cdef REAL_t f, g
   * 
   */
    __pyx_v_row1 = (__pyx_v_context_index * __pyx_v_size);
  
    /* "gensim/models/doc2vec_inner.pyx":47
   *     cdef REAL_t f, g
   * 
   *     memset(work, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
   *     for b in range(codelen):
   *         row2 = word_point[b] * size
   */
    (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
  
    /* "gensim/models/doc2vec_inner.pyx":48
   * 
   *     memset(work, 0, size * cython.sizeof(REAL_t))
   *     for b in range(codelen):             # <<<<<<<<<<<<<<
   *         row2 = word_point[b] * size
   *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
   */
    __pyx_t_1 = __pyx_v_codelen;
    __pyx_t_2 = __pyx_t_1;
    for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
      __pyx_v_b = __pyx_t_3;
  
      /* "gensim/models/doc2vec_inner.pyx":49
   *     memset(work, 0, size * cython.sizeof(REAL_t))
   *     for b in range(codelen):
   *         row2 = word_point[b] * size             # <<<<<<<<<<<<<<
   *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   */
      __pyx_v_row2 = ((__pyx_v_word_point[__pyx_v_b]) * __pyx_v_size);
  
      /* "gensim/models/doc2vec_inner.pyx":50
   *     for b in range(codelen):
   *         row2 = word_point[b] * size
   *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue
   */
      __pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":51
   *         row2 = word_point[b] * size
   *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   */
      __pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
      if (!__pyx_t_5) {
      } else {
        __pyx_t_4 = __pyx_t_5;
        goto __pyx_L6_bool_binop_done;
      }
      __pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
      __pyx_t_4 = __pyx_t_5;
      __pyx_L6_bool_binop_done:;
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":52
   *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue             # <<<<<<<<<<<<<<
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (1 - word_code[b] - f) * alpha
   */
        goto __pyx_L3_continue;
  
        /* "gensim/models/doc2vec_inner.pyx":51
   *         row2 = word_point[b] * size
   *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":53
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
   *         g = (1 - word_code[b] - f) * alpha
   *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
   */
      __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * 83.0))]);
  
      /* "gensim/models/doc2vec_inner.pyx":54
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (1 - word_code[b] - f) * alpha             # <<<<<<<<<<<<<<
   *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
   *         if learn_hidden:
   */
      __pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);
  
      /* "gensim/models/doc2vec_inner.pyx":55
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (1 - word_code[b] - f) * alpha
   *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
   *         if learn_hidden:
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
   */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":56
   *         g = (1 - word_code[b] - f) * alpha
   *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
   *         if learn_hidden:             # <<<<<<<<<<<<<<
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
   *     if learn_context:
   */
      __pyx_t_4 = (__pyx_v_learn_hidden != 0);
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":57
   *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
   *         if learn_hidden:
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
   *     if learn_context:
   *         our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
   */
        __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
        /* "gensim/models/doc2vec_inner.pyx":56
   *         g = (1 - word_code[b] - f) * alpha
   *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
   *         if learn_hidden:             # <<<<<<<<<<<<<<
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
   *     if learn_context:
   */
      }
      __pyx_L3_continue:;
    }
  
    /* "gensim/models/doc2vec_inner.pyx":58
   *         if learn_hidden:
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
   *     if learn_context:             # <<<<<<<<<<<<<<
   *         our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
   * 
   */
    __pyx_t_4 = (__pyx_v_learn_context != 0);
    if (__pyx_t_4) {
  
      /* "gensim/models/doc2vec_inner.pyx":59
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
   *     if learn_context:
   *         our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)             # <<<<<<<<<<<<<<
   * 
   * 
   */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_context_locks[__pyx_v_context_index])), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":58
   *         if learn_hidden:
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
   *     if learn_context:             # <<<<<<<<<<<<<<
   *         our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
   * 
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":37
   * DEF MAX_EXP = 6
   * 
   * cdef void fast_document_dbow_hs(             # <<<<<<<<<<<<<<
   *     const np.uint32_t *word_point, const np.uint8_t *word_code, const int codelen,
   *     REAL_t *context_vectors, REAL_t *syn1, const int size,
   */
  
    /* function exit code */
  }
  
  /* "gensim/models/doc2vec_inner.pyx":62
   * 
   * 
   * cdef unsigned long long fast_document_dbow_neg(             # <<<<<<<<<<<<<<
   *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
   *     REAL_t *context_vectors, REAL_t *syn1neg, const int size, const np.uint32_t word_index,
   */
  
  static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_context_vectors, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_word_index, __pyx_t_5numpy_uint32_t const __pyx_v_context_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, unsigned PY_LONG_LONG __pyx_v_next_random, int __pyx_v_learn_context, int __pyx_v_learn_hidden, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_context_locks) {
    PY_LONG_LONG __pyx_v_row1;
    PY_LONG_LONG __pyx_v_row2;
    unsigned PY_LONG_LONG __pyx_v_modulo;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
    __pyx_t_5numpy_uint32_t __pyx_v_target_index;
    int __pyx_v_d;
    unsigned PY_LONG_LONG __pyx_r;
    long __pyx_t_1;
    long __pyx_t_2;
    int __pyx_t_3;
    int __pyx_t_4;
    int __pyx_t_5;
  
    /* "gensim/models/doc2vec_inner.pyx":69
   * 
   *     cdef long long a
   *     cdef long long row1 = context_index * size, row2             # <<<<<<<<<<<<<<
   *     cdef unsigned long long modulo = 281474976710655ULL
   *     cdef REAL_t f, g, label
   */
    __pyx_v_row1 = (__pyx_v_context_index * __pyx_v_size);
  
    /* "gensim/models/doc2vec_inner.pyx":70
   *     cdef long long a
   *     cdef long long row1 = context_index * size, row2
   *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
   *     cdef REAL_t f, g, label
   *     cdef np.uint32_t target_index
   */
    __pyx_v_modulo = 281474976710655ULL;
  
    /* "gensim/models/doc2vec_inner.pyx":75
   *     cdef int d
   * 
   *     memset(work, 0, size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
   * 
   *     for d in range(negative+1):
   */
    (void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
  
    /* "gensim/models/doc2vec_inner.pyx":77
   *     memset(work, 0, size * cython.sizeof(REAL_t))
   * 
   *     for d in range(negative+1):             # <<<<<<<<<<<<<<
   *         if d == 0:
   *             target_index = word_index
   */
    __pyx_t_1 = (__pyx_v_negative + 1);
    __pyx_t_2 = __pyx_t_1;
    for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
      __pyx_v_d = __pyx_t_3;
  
      /* "gensim/models/doc2vec_inner.pyx":78
   * 
   *     for d in range(negative+1):
   *         if d == 0:             # <<<<<<<<<<<<<<
   *             target_index = word_index
   *             label = ONEF
   */
      __pyx_t_4 = ((__pyx_v_d == 0) != 0);
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":79
   *     for d in range(negative+1):
   *         if d == 0:
   *             target_index = word_index             # <<<<<<<<<<<<<<
   *             label = ONEF
   *         else:
   */
        __pyx_v_target_index = __pyx_v_word_index;
  
        /* "gensim/models/doc2vec_inner.pyx":80
   *         if d == 0:
   *             target_index = word_index
   *             label = ONEF             # <<<<<<<<<<<<<<
   *         else:
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
   */
        __pyx_v_label = __pyx_v_6gensim_6models_13doc2vec_inner_ONEF;
  
        /* "gensim/models/doc2vec_inner.pyx":78
   * 
   *     for d in range(negative+1):
   *         if d == 0:             # <<<<<<<<<<<<<<
   *             target_index = word_index
   *             label = ONEF
   */
        goto __pyx_L5;
      }
  
      /* "gensim/models/doc2vec_inner.pyx":82
   *             label = ONEF
   *         else:
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)             # <<<<<<<<<<<<<<
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
   *             if target_index == word_index:
   */
      /*else*/ {
        __pyx_v_target_index = __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_v_cum_table, ((__pyx_v_next_random >> 16) % (__pyx_v_cum_table[(__pyx_v_cum_table_len - 1)])), 0, __pyx_v_cum_table_len);
  
        /* "gensim/models/doc2vec_inner.pyx":83
   *         else:
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo             # <<<<<<<<<<<<<<
   *             if target_index == word_index:
   *                 continue
   */
        __pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);
  
        /* "gensim/models/doc2vec_inner.pyx":84
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
   *             if target_index == word_index:             # <<<<<<<<<<<<<<
   *                 continue
   *             label = <REAL_t>0.0
   */
        __pyx_t_4 = ((__pyx_v_target_index == __pyx_v_word_index) != 0);
        if (__pyx_t_4) {
  
          /* "gensim/models/doc2vec_inner.pyx":85
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
   *             if target_index == word_index:
   *                 continue             # <<<<<<<<<<<<<<
   *             label = <REAL_t>0.0
   *         row2 = target_index * size
   */
          goto __pyx_L3_continue;
  
          /* "gensim/models/doc2vec_inner.pyx":84
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
   *             if target_index == word_index:             # <<<<<<<<<<<<<<
   *                 continue
   *             label = <REAL_t>0.0
   */
        }
  
        /* "gensim/models/doc2vec_inner.pyx":86
   *             if target_index == word_index:
   *                 continue
   *             label = <REAL_t>0.0             # <<<<<<<<<<<<<<
   *         row2 = target_index * size
   *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
   */
        __pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
      }
      __pyx_L5:;
  
      /* "gensim/models/doc2vec_inner.pyx":87
   *                 continue
   *             label = <REAL_t>0.0
   *         row2 = target_index * size             # <<<<<<<<<<<<<<
   *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   */
      __pyx_v_row2 = (__pyx_v_target_index * __pyx_v_size);
  
      /* "gensim/models/doc2vec_inner.pyx":88
   *             label = <REAL_t>0.0
   *         row2 = target_index * size
   *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue
   */
      __pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":89
   *         row2 = target_index * size
   *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   */
      __pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
      if (!__pyx_t_5) {
      } else {
        __pyx_t_4 = __pyx_t_5;
        goto __pyx_L8_bool_binop_done;
      }
      __pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
      __pyx_t_4 = __pyx_t_5;
      __pyx_L8_bool_binop_done:;
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":90
   *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue             # <<<<<<<<<<<<<<
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (label - f) * alpha
   */
        goto __pyx_L3_continue;
  
        /* "gensim/models/doc2vec_inner.pyx":89
   *         row2 = target_index * size
   *         f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":91
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
   *         g = (label - f) * alpha
   *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
   */
      __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * 83.0))]);
  
      /* "gensim/models/doc2vec_inner.pyx":92
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (label - f) * alpha             # <<<<<<<<<<<<<<
   *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
   *         if learn_hidden:
   */
      __pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);
  
      /* "gensim/models/doc2vec_inner.pyx":93
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (label - f) * alpha
   *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
   *         if learn_hidden:
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
   */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":94
   *         g = (label - f) * alpha
   *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
   *         if learn_hidden:             # <<<<<<<<<<<<<<
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
   *     if learn_context:
   */
      __pyx_t_4 = (__pyx_v_learn_hidden != 0);
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":95
   *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
   *         if learn_hidden:
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
   *     if learn_context:
   *         our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
   */
        __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
        /* "gensim/models/doc2vec_inner.pyx":94
   *         g = (label - f) * alpha
   *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
   *         if learn_hidden:             # <<<<<<<<<<<<<<
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
   *     if learn_context:
   */
      }
      __pyx_L3_continue:;
    }
  
    /* "gensim/models/doc2vec_inner.pyx":96
   *         if learn_hidden:
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
   *     if learn_context:             # <<<<<<<<<<<<<<
   *         our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
   * 
   */
    __pyx_t_4 = (__pyx_v_learn_context != 0);
    if (__pyx_t_4) {
  
      /* "gensim/models/doc2vec_inner.pyx":97
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
   *     if learn_context:
   *         our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)             # <<<<<<<<<<<<<<
   * 
   *     return next_random
   */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_context_locks[__pyx_v_context_index])), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":96
   *         if learn_hidden:
   *             our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
   *     if learn_context:             # <<<<<<<<<<<<<<
   *         our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
   * 
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":99
   *         our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
   * 
   *     return next_random             # <<<<<<<<<<<<<<
   * 
   * 
   */
    __pyx_r = __pyx_v_next_random;
    goto __pyx_L0;
  
    /* "gensim/models/doc2vec_inner.pyx":62
   * 
   * 
   * cdef unsigned long long fast_document_dbow_neg(             # <<<<<<<<<<<<<<
   *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
   *     REAL_t *context_vectors, REAL_t *syn1neg, const int size, const np.uint32_t word_index,
   */
  
    /* function exit code */
    __pyx_L0:;
    return __pyx_r;
  }
  
  /* "gensim/models/doc2vec_inner.pyx":102
   * 
   * 
   * cdef void fast_document_dm_hs(             # <<<<<<<<<<<<<<
   *     const np.uint32_t *word_point, const np.uint8_t *word_code, int word_code_len,
   *     REAL_t *neu1, REAL_t *syn1, const REAL_t alpha, REAL_t *work,
   */
  
  static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int __pyx_v_word_code_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int const __pyx_v_size, int __pyx_v_learn_hidden) {
    PY_LONG_LONG __pyx_v_b;
    PY_LONG_LONG __pyx_v_row2;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
    int __pyx_t_1;
    int __pyx_t_2;
    PY_LONG_LONG __pyx_t_3;
    int __pyx_t_4;
    int __pyx_t_5;
  
    /* "gensim/models/doc2vec_inner.pyx":113
   *     # l1 already composed by caller, passed in as neu1
   *     # work (also passed in)  will accumulate l1 error
   *     for b in range(word_code_len):             # <<<<<<<<<<<<<<
   *         row2 = word_point[b] * size
   *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
   */
    __pyx_t_1 = __pyx_v_word_code_len;
    __pyx_t_2 = __pyx_t_1;
    for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
      __pyx_v_b = __pyx_t_3;
  
      /* "gensim/models/doc2vec_inner.pyx":114
   *     # work (also passed in)  will accumulate l1 error
   *     for b in range(word_code_len):
   *         row2 = word_point[b] * size             # <<<<<<<<<<<<<<
   *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   */
      __pyx_v_row2 = ((__pyx_v_word_point[__pyx_v_b]) * __pyx_v_size);
  
      /* "gensim/models/doc2vec_inner.pyx":115
   *     for b in range(word_code_len):
   *         row2 = word_point[b] * size
   *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue
   */
      __pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":116
   *         row2 = word_point[b] * size
   *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   */
      __pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
      if (!__pyx_t_5) {
      } else {
        __pyx_t_4 = __pyx_t_5;
        goto __pyx_L6_bool_binop_done;
      }
      __pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
      __pyx_t_4 = __pyx_t_5;
      __pyx_L6_bool_binop_done:;
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":117
   *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue             # <<<<<<<<<<<<<<
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (1 - word_code[b] - f) * alpha
   */
        goto __pyx_L3_continue;
  
        /* "gensim/models/doc2vec_inner.pyx":116
   *         row2 = word_point[b] * size
   *         f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":118
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
   *         g = (1 - word_code[b] - f) * alpha
   *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
   */
      __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * 83.0))]);
  
      /* "gensim/models/doc2vec_inner.pyx":119
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (1 - word_code[b] - f) * alpha             # <<<<<<<<<<<<<<
   *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
   *         if learn_hidden:
   */
      __pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);
  
      /* "gensim/models/doc2vec_inner.pyx":120
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (1 - word_code[b] - f) * alpha
   *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
   *         if learn_hidden:
   *             our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
   */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":121
   *         g = (1 - word_code[b] - f) * alpha
   *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
   *         if learn_hidden:             # <<<<<<<<<<<<<<
   *             our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
   * 
   */
      __pyx_t_4 = (__pyx_v_learn_hidden != 0);
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":122
   *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
   *         if learn_hidden:
   *             our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
   * 
   * 
   */
        __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
        /* "gensim/models/doc2vec_inner.pyx":121
   *         g = (1 - word_code[b] - f) * alpha
   *         our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
   *         if learn_hidden:             # <<<<<<<<<<<<<<
   *             our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
   * 
   */
      }
      __pyx_L3_continue:;
    }
  
    /* "gensim/models/doc2vec_inner.pyx":102
   * 
   * 
   * cdef void fast_document_dm_hs(             # <<<<<<<<<<<<<<
   *     const np.uint32_t *word_point, const np.uint8_t *word_code, int word_code_len,
   *     REAL_t *neu1, REAL_t *syn1, const REAL_t alpha, REAL_t *work,
   */
  
    /* function exit code */
  }
  
  /* "gensim/models/doc2vec_inner.pyx":125
   * 
   * 
   * cdef unsigned long long fast_document_dm_neg(             # <<<<<<<<<<<<<<
   *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, unsigned long long next_random,
   *     REAL_t *neu1, REAL_t *syn1neg, const int predict_word_index, const REAL_t alpha, REAL_t *work,
   */
  
  static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, int const __pyx_v_predict_word_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int const __pyx_v_size, int __pyx_v_learn_hidden) {
    PY_LONG_LONG __pyx_v_row2;
    unsigned PY_LONG_LONG __pyx_v_modulo;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
    __pyx_t_5numpy_uint32_t __pyx_v_target_index;
    int __pyx_v_d;
    unsigned PY_LONG_LONG __pyx_r;
    long __pyx_t_1;
    long __pyx_t_2;
    int __pyx_t_3;
    int __pyx_t_4;
    int __pyx_t_5;
  
    /* "gensim/models/doc2vec_inner.pyx":131
   * 
   *     cdef long long row2
   *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
   *     cdef REAL_t f, g, label
   *     cdef np.uint32_t target_index
   */
    __pyx_v_modulo = 281474976710655ULL;
  
    /* "gensim/models/doc2vec_inner.pyx":138
   *     # l1 already composed by caller, passed in as neu1
   *     # work (also passsed in) will accumulate l1 error for outside application
   *     for d in range(negative+1):             # <<<<<<<<<<<<<<
   *         if d == 0:
   *             target_index = predict_word_index
   */
    __pyx_t_1 = (__pyx_v_negative + 1);
    __pyx_t_2 = __pyx_t_1;
    for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
      __pyx_v_d = __pyx_t_3;
  
      /* "gensim/models/doc2vec_inner.pyx":139
   *     # work (also passsed in) will accumulate l1 error for outside application
   *     for d in range(negative+1):
   *         if d == 0:             # <<<<<<<<<<<<<<
   *             target_index = predict_word_index
   *             label = ONEF
   */
      __pyx_t_4 = ((__pyx_v_d == 0) != 0);
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":140
   *     for d in range(negative+1):
   *         if d == 0:
   *             target_index = predict_word_index             # <<<<<<<<<<<<<<
   *             label = ONEF
   *         else:
   */
        __pyx_v_target_index = __pyx_v_predict_word_index;
  
        /* "gensim/models/doc2vec_inner.pyx":141
   *         if d == 0:
   *             target_index = predict_word_index
   *             label = ONEF             # <<<<<<<<<<<<<<
   *         else:
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
   */
        __pyx_v_label = __pyx_v_6gensim_6models_13doc2vec_inner_ONEF;
  
        /* "gensim/models/doc2vec_inner.pyx":139
   *     # work (also passsed in) will accumulate l1 error for outside application
   *     for d in range(negative+1):
   *         if d == 0:             # <<<<<<<<<<<<<<
   *             target_index = predict_word_index
   *             label = ONEF
   */
        goto __pyx_L5;
      }
  
      /* "gensim/models/doc2vec_inner.pyx":143
   *             label = ONEF
   *         else:
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)             # <<<<<<<<<<<<<<
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
   *             if target_index == predict_word_index:
   */
      /*else*/ {
        __pyx_v_target_index = __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_v_cum_table, ((__pyx_v_next_random >> 16) % (__pyx_v_cum_table[(__pyx_v_cum_table_len - 1)])), 0, __pyx_v_cum_table_len);
  
        /* "gensim/models/doc2vec_inner.pyx":144
   *         else:
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo             # <<<<<<<<<<<<<<
   *             if target_index == predict_word_index:
   *                 continue
   */
        __pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);
  
        /* "gensim/models/doc2vec_inner.pyx":145
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
   *             if target_index == predict_word_index:             # <<<<<<<<<<<<<<
   *                 continue
   *             label = <REAL_t>0.0
   */
        __pyx_t_4 = ((__pyx_v_target_index == __pyx_v_predict_word_index) != 0);
        if (__pyx_t_4) {
  
          /* "gensim/models/doc2vec_inner.pyx":146
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
   *             if target_index == predict_word_index:
   *                 continue             # <<<<<<<<<<<<<<
   *             label = <REAL_t>0.0
   * 
   */
          goto __pyx_L3_continue;
  
          /* "gensim/models/doc2vec_inner.pyx":145
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
   *             if target_index == predict_word_index:             # <<<<<<<<<<<<<<
   *                 continue
   *             label = <REAL_t>0.0
   */
        }
  
        /* "gensim/models/doc2vec_inner.pyx":147
   *             if target_index == predict_word_index:
   *                 continue
   *             label = <REAL_t>0.0             # <<<<<<<<<<<<<<
   * 
   *         row2 = target_index * size
   */
        __pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
      }
      __pyx_L5:;
  
      /* "gensim/models/doc2vec_inner.pyx":149
   *             label = <REAL_t>0.0
   * 
   *         row2 = target_index * size             # <<<<<<<<<<<<<<
   *         f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   */
      __pyx_v_row2 = (__pyx_v_target_index * __pyx_v_size);
  
      /* "gensim/models/doc2vec_inner.pyx":150
   * 
   *         row2 = target_index * size
   *         f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue
   */
      __pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":151
   *         row2 = target_index * size
   *         f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   */
      __pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
      if (!__pyx_t_5) {
      } else {
        __pyx_t_4 = __pyx_t_5;
        goto __pyx_L8_bool_binop_done;
      }
      __pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
      __pyx_t_4 = __pyx_t_5;
      __pyx_L8_bool_binop_done:;
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":152
   *         f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue             # <<<<<<<<<<<<<<
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (label - f) * alpha
   */
        goto __pyx_L3_continue;
  
        /* "gensim/models/doc2vec_inner.pyx":151
   *         row2 = target_index * size
   *         f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":153
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
   *         g = (label - f) * alpha
   *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
   */
      __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * 83.0))]);
  
      /* "gensim/models/doc2vec_inner.pyx":154
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (label - f) * alpha             # <<<<<<<<<<<<<<
   *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
   *         if learn_hidden:
   */
      __pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);
  
      /* "gensim/models/doc2vec_inner.pyx":155
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (label - f) * alpha
   *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
   *         if learn_hidden:
   *             our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
   */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":156
   *         g = (label - f) * alpha
   *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
   *         if learn_hidden:             # <<<<<<<<<<<<<<
   *             our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
   * 
   */
      __pyx_t_4 = (__pyx_v_learn_hidden != 0);
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":157
   *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
   *         if learn_hidden:
   *             our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
   * 
   *     return next_random
   */
        __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
        /* "gensim/models/doc2vec_inner.pyx":156
   *         g = (label - f) * alpha
   *         our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
   *         if learn_hidden:             # <<<<<<<<<<<<<<
   *             our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
   * 
   */
      }
      __pyx_L3_continue:;
    }
  
    /* "gensim/models/doc2vec_inner.pyx":159
   *             our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
   * 
   *     return next_random             # <<<<<<<<<<<<<<
   * 
   * cdef void fast_document_dmc_hs(
   */
    __pyx_r = __pyx_v_next_random;
    goto __pyx_L0;
  
    /* "gensim/models/doc2vec_inner.pyx":125
   * 
   * 
   * cdef unsigned long long fast_document_dm_neg(             # <<<<<<<<<<<<<<
   *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, unsigned long long next_random,
   *     REAL_t *neu1, REAL_t *syn1neg, const int predict_word_index, const REAL_t alpha, REAL_t *work,
   */
  
    /* function exit code */
    __pyx_L0:;
    return __pyx_r;
  }
  
  /* "gensim/models/doc2vec_inner.pyx":161
   *     return next_random
   * 
   * cdef void fast_document_dmc_hs(             # <<<<<<<<<<<<<<
   *     const np.uint32_t *word_point, const np.uint8_t *word_code, int word_code_len,
   *     REAL_t *neu1, REAL_t *syn1, const REAL_t alpha, REAL_t *work,
   */
  
  static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int __pyx_v_word_code_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int const __pyx_v_layer1_size, CYTHON_UNUSED int const __pyx_v_vector_size, int __pyx_v_learn_hidden) {
    PY_LONG_LONG __pyx_v_b;
    PY_LONG_LONG __pyx_v_row2;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
    int __pyx_t_1;
    int __pyx_t_2;
    PY_LONG_LONG __pyx_t_3;
    int __pyx_t_4;
    int __pyx_t_5;
  
    /* "gensim/models/doc2vec_inner.pyx":173
   *     # l1 already composed by caller, passed in as neu1
   *     # work accumulates net l1 error; eventually applied by caller
   *     for b in range(word_code_len):             # <<<<<<<<<<<<<<
   *         row2 = word_point[b] * layer1_size
   *         f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
   */
    __pyx_t_1 = __pyx_v_word_code_len;
    __pyx_t_2 = __pyx_t_1;
    for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
      __pyx_v_b = __pyx_t_3;
  
      /* "gensim/models/doc2vec_inner.pyx":174
   *     # work accumulates net l1 error; eventually applied by caller
   *     for b in range(word_code_len):
   *         row2 = word_point[b] * layer1_size             # <<<<<<<<<<<<<<
   *         f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   */
      __pyx_v_row2 = ((__pyx_v_word_point[__pyx_v_b]) * __pyx_v_layer1_size);
  
      /* "gensim/models/doc2vec_inner.pyx":175
   *     for b in range(word_code_len):
   *         row2 = word_point[b] * layer1_size
   *         f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue
   */
      __pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_layer1_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":176
   *         row2 = word_point[b] * layer1_size
   *         f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   */
      __pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
      if (!__pyx_t_5) {
      } else {
        __pyx_t_4 = __pyx_t_5;
        goto __pyx_L6_bool_binop_done;
      }
      __pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
      __pyx_t_4 = __pyx_t_5;
      __pyx_L6_bool_binop_done:;
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":177
   *         f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue             # <<<<<<<<<<<<<<
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (1 - word_code[b] - f) * alpha
   */
        goto __pyx_L3_continue;
  
        /* "gensim/models/doc2vec_inner.pyx":176
   *         row2 = word_point[b] * layer1_size
   *         f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":178
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
   *         g = (1 - word_code[b] - f) * alpha
   *         our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
   */
      __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * 83.0))]);
  
      /* "gensim/models/doc2vec_inner.pyx":179
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (1 - word_code[b] - f) * alpha             # <<<<<<<<<<<<<<
   *         our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
   *         if learn_hidden:
   */
      __pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);
  
      /* "gensim/models/doc2vec_inner.pyx":180
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (1 - word_code[b] - f) * alpha
   *         our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
   *         if learn_hidden:
   *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1[row2], &ONE)
   */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_layer1_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":181
   *         g = (1 - word_code[b] - f) * alpha
   *         our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
   *         if learn_hidden:             # <<<<<<<<<<<<<<
   *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1[row2], &ONE)
   * 
   */
      __pyx_t_4 = (__pyx_v_learn_hidden != 0);
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":182
   *         our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
   *         if learn_hidden:
   *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1[row2], &ONE)             # <<<<<<<<<<<<<<
   * 
   * 
   */
        __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_layer1_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
        /* "gensim/models/doc2vec_inner.pyx":181
   *         g = (1 - word_code[b] - f) * alpha
   *         our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
   *         if learn_hidden:             # <<<<<<<<<<<<<<
   *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1[row2], &ONE)
   * 
   */
      }
      __pyx_L3_continue:;
    }
  
    /* "gensim/models/doc2vec_inner.pyx":161
   *     return next_random
   * 
   * cdef void fast_document_dmc_hs(             # <<<<<<<<<<<<<<
   *     const np.uint32_t *word_point, const np.uint8_t *word_code, int word_code_len,
   *     REAL_t *neu1, REAL_t *syn1, const REAL_t alpha, REAL_t *work,
   */
  
    /* function exit code */
  }
  
  /* "gensim/models/doc2vec_inner.pyx":185
   * 
   * 
   * cdef unsigned long long fast_document_dmc_neg(             # <<<<<<<<<<<<<<
   *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, unsigned long long next_random,
   *     REAL_t *neu1, REAL_t *syn1neg, const int predict_word_index, const REAL_t alpha, REAL_t *work,
   */
  
  static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, int const __pyx_v_predict_word_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int const __pyx_v_layer1_size, CYTHON_UNUSED int const __pyx_v_vector_size, int __pyx_v_learn_hidden) {
    PY_LONG_LONG __pyx_v_row2;
    unsigned PY_LONG_LONG __pyx_v_modulo;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
    __pyx_t_5numpy_uint32_t __pyx_v_target_index;
    int __pyx_v_d;
    unsigned PY_LONG_LONG __pyx_r;
    long __pyx_t_1;
    long __pyx_t_2;
    int __pyx_t_3;
    int __pyx_t_4;
    int __pyx_t_5;
  
    /* "gensim/models/doc2vec_inner.pyx":192
   *     cdef long long a
   *     cdef long long row2
   *     cdef unsigned long long modulo = 281474976710655ULL             # <<<<<<<<<<<<<<
   *     cdef REAL_t f, g, label
   *     cdef np.uint32_t target_index
   */
    __pyx_v_modulo = 281474976710655ULL;
  
    /* "gensim/models/doc2vec_inner.pyx":199
   *     # l1 already composed by caller, passed in as neu1
   *     # work accumulates net l1 error; eventually applied by caller
   *     for d in range(negative+1):             # <<<<<<<<<<<<<<
   *         if d == 0:
   *             target_index = predict_word_index
   */
    __pyx_t_1 = (__pyx_v_negative + 1);
    __pyx_t_2 = __pyx_t_1;
    for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
      __pyx_v_d = __pyx_t_3;
  
      /* "gensim/models/doc2vec_inner.pyx":200
   *     # work accumulates net l1 error; eventually applied by caller
   *     for d in range(negative+1):
   *         if d == 0:             # <<<<<<<<<<<<<<
   *             target_index = predict_word_index
   *             label = ONEF
   */
      __pyx_t_4 = ((__pyx_v_d == 0) != 0);
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":201
   *     for d in range(negative+1):
   *         if d == 0:
   *             target_index = predict_word_index             # <<<<<<<<<<<<<<
   *             label = ONEF
   *         else:
   */
        __pyx_v_target_index = __pyx_v_predict_word_index;
  
        /* "gensim/models/doc2vec_inner.pyx":202
   *         if d == 0:
   *             target_index = predict_word_index
   *             label = ONEF             # <<<<<<<<<<<<<<
   *         else:
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
   */
        __pyx_v_label = __pyx_v_6gensim_6models_13doc2vec_inner_ONEF;
  
        /* "gensim/models/doc2vec_inner.pyx":200
   *     # work accumulates net l1 error; eventually applied by caller
   *     for d in range(negative+1):
   *         if d == 0:             # <<<<<<<<<<<<<<
   *             target_index = predict_word_index
   *             label = ONEF
   */
        goto __pyx_L5;
      }
  
      /* "gensim/models/doc2vec_inner.pyx":204
   *             label = ONEF
   *         else:
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)             # <<<<<<<<<<<<<<
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
   *             if target_index == predict_word_index:
   */
      /*else*/ {
        __pyx_v_target_index = __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_v_cum_table, ((__pyx_v_next_random >> 16) % (__pyx_v_cum_table[(__pyx_v_cum_table_len - 1)])), 0, __pyx_v_cum_table_len);
  
        /* "gensim/models/doc2vec_inner.pyx":205
   *         else:
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo             # <<<<<<<<<<<<<<
   *             if target_index == predict_word_index:
   *                 continue
   */
        __pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);
  
        /* "gensim/models/doc2vec_inner.pyx":206
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
   *             if target_index == predict_word_index:             # <<<<<<<<<<<<<<
   *                 continue
   *             label = <REAL_t>0.0
   */
        __pyx_t_4 = ((__pyx_v_target_index == __pyx_v_predict_word_index) != 0);
        if (__pyx_t_4) {
  
          /* "gensim/models/doc2vec_inner.pyx":207
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
   *             if target_index == predict_word_index:
   *                 continue             # <<<<<<<<<<<<<<
   *             label = <REAL_t>0.0
   * 
   */
          goto __pyx_L3_continue;
  
          /* "gensim/models/doc2vec_inner.pyx":206
   *             target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
   *             next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
   *             if target_index == predict_word_index:             # <<<<<<<<<<<<<<
   *                 continue
   *             label = <REAL_t>0.0
   */
        }
  
        /* "gensim/models/doc2vec_inner.pyx":208
   *             if target_index == predict_word_index:
   *                 continue
   *             label = <REAL_t>0.0             # <<<<<<<<<<<<<<
   * 
   *         row2 = target_index * layer1_size
   */
        __pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
      }
      __pyx_L5:;
  
      /* "gensim/models/doc2vec_inner.pyx":210
   *             label = <REAL_t>0.0
   * 
   *         row2 = target_index * layer1_size             # <<<<<<<<<<<<<<
   *         f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   */
      __pyx_v_row2 = (__pyx_v_target_index * __pyx_v_layer1_size);
  
      /* "gensim/models/doc2vec_inner.pyx":211
   * 
   *         row2 = target_index * layer1_size
   *         f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue
   */
      __pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_layer1_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":212
   *         row2 = target_index * layer1_size
   *         f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   */
      __pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
      if (!__pyx_t_5) {
      } else {
        __pyx_t_4 = __pyx_t_5;
        goto __pyx_L8_bool_binop_done;
      }
      __pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
      __pyx_t_4 = __pyx_t_5;
      __pyx_L8_bool_binop_done:;
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":213
   *         f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue             # <<<<<<<<<<<<<<
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (label - f) * alpha
   */
        goto __pyx_L3_continue;
  
        /* "gensim/models/doc2vec_inner.pyx":212
   *         row2 = target_index * layer1_size
   *         f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)
   *         if f <= -MAX_EXP or f >= MAX_EXP:             # <<<<<<<<<<<<<<
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":214
   *         if f <= -MAX_EXP or f >= MAX_EXP:
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]             # <<<<<<<<<<<<<<
   *         g = (label - f) * alpha
   *         our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
   */
      __pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * 83.0))]);
  
      /* "gensim/models/doc2vec_inner.pyx":215
   *             continue
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (label - f) * alpha             # <<<<<<<<<<<<<<
   *         our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
   *         if learn_hidden:
   */
      __pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);
  
      /* "gensim/models/doc2vec_inner.pyx":216
   *         f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
   *         g = (label - f) * alpha
   *         our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)             # <<<<<<<<<<<<<<
   *         if learn_hidden:
   *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
   */
      __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_layer1_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
      /* "gensim/models/doc2vec_inner.pyx":217
   *         g = (label - f) * alpha
   *         our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
   *         if learn_hidden:             # <<<<<<<<<<<<<<
   *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
   * 
   */
      __pyx_t_4 = (__pyx_v_learn_hidden != 0);
      if (__pyx_t_4) {
  
        /* "gensim/models/doc2vec_inner.pyx":218
   *         our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
   *         if learn_hidden:
   *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)             # <<<<<<<<<<<<<<
   * 
   *     return next_random
   */
        __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_layer1_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
        /* "gensim/models/doc2vec_inner.pyx":217
   *         g = (label - f) * alpha
   *         our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
   *         if learn_hidden:             # <<<<<<<<<<<<<<
   *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
   * 
   */
      }
      __pyx_L3_continue:;
    }
  
    /* "gensim/models/doc2vec_inner.pyx":220
   *             our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
   * 
   *     return next_random             # <<<<<<<<<<<<<<
   * 
   * 
   */
    __pyx_r = __pyx_v_next_random;
    goto __pyx_L0;
  
    /* "gensim/models/doc2vec_inner.pyx":185
   * 
   * 
   * cdef unsigned long long fast_document_dmc_neg(             # <<<<<<<<<<<<<<
   *     const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, unsigned long long next_random,
   *     REAL_t *neu1, REAL_t *syn1neg, const int predict_word_index, const REAL_t alpha, REAL_t *work,
   */
  
    /* function exit code */
    __pyx_L0:;
    return __pyx_r;
  }
  
  /* "gensim/models/doc2vec_inner.pyx":223
   * 
   * 
   * cdef init_d2v_config(Doc2VecConfig *c, model, alpha, learn_doctags, learn_words, learn_hidden,             # <<<<<<<<<<<<<<
   *                      train_words=False, work=None, neu1=None, word_vectors=None, word_locks=None, doctag_vectors=None,
   *                      doctag_locks=None, docvecs_count=0):
   */
  
  static PyObject *__pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config(struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig *__pyx_v_c, PyObject *__pyx_v_model, PyObject *__pyx_v_alpha, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config *__pyx_optional_args) {
  
    /* "gensim/models/doc2vec_inner.pyx":224
   * 
   * cdef init_d2v_config(Doc2VecConfig *c, model, alpha, learn_doctags, learn_words, learn_hidden,
   *                      train_words=False, work=None, neu1=None, word_vectors=None, word_locks=None, doctag_vectors=None,             # <<<<<<<<<<<<<<
   *                      doctag_locks=None, docvecs_count=0):
   *     c[0].hs = model.hs
   */
    PyObject *__pyx_v_train_words = ((PyObject *)Py_False);
    PyObject *__pyx_v_work = ((PyObject *)Py_None);
    PyObject *__pyx_v_neu1 = ((PyObject *)Py_None);
    PyObject *__pyx_v_word_vectors = ((PyObject *)Py_None);
    PyObject *__pyx_v_word_locks = ((PyObject *)Py_None);
    PyObject *__pyx_v_doctag_vectors = ((PyObject *)Py_None);
  
    /* "gensim/models/doc2vec_inner.pyx":225
   * cdef init_d2v_config(Doc2VecConfig *c, model, alpha, learn_doctags, learn_words, learn_hidden,
   *                      train_words=False, work=None, neu1=None, word_vectors=None, word_locks=None, doctag_vectors=None,
   *                      doctag_locks=None, docvecs_count=0):             # <<<<<<<<<<<<<<
   *     c[0].hs = model.hs
   *     c[0].negative = model.negative
   */
    PyObject *__pyx_v_doctag_locks = ((PyObject *)Py_None);
    PyObject *__pyx_v_docvecs_count = ((PyObject *)__pyx_int_0);
    PyObject *__pyx_r = NULL;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    int __pyx_t_2;
    PyObject *__pyx_t_3 = NULL;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_t_4;
    int __pyx_t_5;
    int __pyx_t_6;
    Py_ssize_t __pyx_t_7;
    PyObject *__pyx_t_8 = NULL;
    unsigned PY_LONG_LONG __pyx_t_9;
    PyObject *__pyx_t_10 = NULL;
    __Pyx_RefNannySetupContext("init_d2v_config", 0);
    if (__pyx_optional_args) {
      if (__pyx_optional_args->__pyx_n > 0) {
        __pyx_v_train_words = __pyx_optional_args->train_words;
        if (__pyx_optional_args->__pyx_n > 1) {
          __pyx_v_work = __pyx_optional_args->work;
          if (__pyx_optional_args->__pyx_n > 2) {
            __pyx_v_neu1 = __pyx_optional_args->neu1;
            if (__pyx_optional_args->__pyx_n > 3) {
              __pyx_v_word_vectors = __pyx_optional_args->word_vectors;
              if (__pyx_optional_args->__pyx_n > 4) {
                __pyx_v_word_locks = __pyx_optional_args->word_locks;
                if (__pyx_optional_args->__pyx_n > 5) {
                  __pyx_v_doctag_vectors = __pyx_optional_args->doctag_vectors;
                  if (__pyx_optional_args->__pyx_n > 6) {
                    __pyx_v_doctag_locks = __pyx_optional_args->doctag_locks;
                    if (__pyx_optional_args->__pyx_n > 7) {
                      __pyx_v_docvecs_count = __pyx_optional_args->docvecs_count;
                    }
                  }
                }
              }
            }
          }
        }
      }
    }
    __Pyx_INCREF(__pyx_v_work);
    __Pyx_INCREF(__pyx_v_neu1);
    __Pyx_INCREF(__pyx_v_word_vectors);
    __Pyx_INCREF(__pyx_v_word_locks);
    __Pyx_INCREF(__pyx_v_doctag_vectors);
    __Pyx_INCREF(__pyx_v_doctag_locks);
  
    /* "gensim/models/doc2vec_inner.pyx":226
   *                      train_words=False, work=None, neu1=None, word_vectors=None, word_locks=None, doctag_vectors=None,
   *                      doctag_locks=None, docvecs_count=0):
   *     c[0].hs = model.hs             # <<<<<<<<<<<<<<
   *     c[0].negative = model.negative
   *     c[0].sample = (model.vocabulary.sample != 0)
   */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_hs); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 226, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 226, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    (__pyx_v_c[0]).hs = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":227
   *                      doctag_locks=None, docvecs_count=0):
   *     c[0].hs = model.hs
   *     c[0].negative = model.negative             # <<<<<<<<<<<<<<
   *     c[0].sample = (model.vocabulary.sample != 0)
   *     c[0].cbow_mean = model.cbow_mean
   */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_negative); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 227, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 227, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    (__pyx_v_c[0]).negative = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":228
   *     c[0].hs = model.hs
   *     c[0].negative = model.negative
   *     c[0].sample = (model.vocabulary.sample != 0)             # <<<<<<<<<<<<<<
   *     c[0].cbow_mean = model.cbow_mean
   *     c[0].train_words = train_words
   */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_vocabulary); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 228, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_sample); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 228, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyInt_NeObjC(__pyx_t_3, __pyx_int_0, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 228, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 228, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    (__pyx_v_c[0]).sample = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":229
   *     c[0].negative = model.negative
   *     c[0].sample = (model.vocabulary.sample != 0)
   *     c[0].cbow_mean = model.cbow_mean             # <<<<<<<<<<<<<<
   *     c[0].train_words = train_words
   *     c[0].learn_doctags = learn_doctags
   */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_cbow_mean); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 229, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 229, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    (__pyx_v_c[0]).cbow_mean = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":230
   *     c[0].sample = (model.vocabulary.sample != 0)
   *     c[0].cbow_mean = model.cbow_mean
   *     c[0].train_words = train_words             # <<<<<<<<<<<<<<
   *     c[0].learn_doctags = learn_doctags
   *     c[0].learn_words = learn_words
   */
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_v_train_words); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 230, __pyx_L1_error)
    (__pyx_v_c[0]).train_words = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":231
   *     c[0].cbow_mean = model.cbow_mean
   *     c[0].train_words = train_words
   *     c[0].learn_doctags = learn_doctags             # <<<<<<<<<<<<<<
   *     c[0].learn_words = learn_words
   *     c[0].learn_hidden = learn_hidden
   */
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_v_learn_doctags); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 231, __pyx_L1_error)
    (__pyx_v_c[0]).learn_doctags = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":232
   *     c[0].train_words = train_words
   *     c[0].learn_doctags = learn_doctags
   *     c[0].learn_words = learn_words             # <<<<<<<<<<<<<<
   *     c[0].learn_hidden = learn_hidden
   *     c[0].alpha = alpha
   */
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_v_learn_words); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 232, __pyx_L1_error)
    (__pyx_v_c[0]).learn_words = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":233
   *     c[0].learn_doctags = learn_doctags
   *     c[0].learn_words = learn_words
   *     c[0].learn_hidden = learn_hidden             # <<<<<<<<<<<<<<
   *     c[0].alpha = alpha
   *     c[0].layer1_size = model.trainables.layer1_size
   */
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_v_learn_hidden); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 233, __pyx_L1_error)
    (__pyx_v_c[0]).learn_hidden = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":234
   *     c[0].learn_words = learn_words
   *     c[0].learn_hidden = learn_hidden
   *     c[0].alpha = alpha             # <<<<<<<<<<<<<<
   *     c[0].layer1_size = model.trainables.layer1_size
   *     c[0].vector_size = model.docvecs.vector_size
   */
    __pyx_t_4 = __pyx_PyFloat_AsFloat(__pyx_v_alpha); if (unlikely((__pyx_t_4 == ((npy_float32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 234, __pyx_L1_error)
    (__pyx_v_c[0]).alpha = __pyx_t_4;
  
    /* "gensim/models/doc2vec_inner.pyx":235
   *     c[0].learn_hidden = learn_hidden
   *     c[0].alpha = alpha
   *     c[0].layer1_size = model.trainables.layer1_size             # <<<<<<<<<<<<<<
   *     c[0].vector_size = model.docvecs.vector_size
   *     c[0].workers = model.workers
   */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_trainables); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 235, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_layer1_size); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 235, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 235, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    (__pyx_v_c[0]).layer1_size = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":236
   *     c[0].alpha = alpha
   *     c[0].layer1_size = model.trainables.layer1_size
   *     c[0].vector_size = model.docvecs.vector_size             # <<<<<<<<<<<<<<
   *     c[0].workers = model.workers
   *     c[0].docvecs_count = docvecs_count
   */
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_docvecs); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 236, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_vector_size); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 236, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 236, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    (__pyx_v_c[0]).vector_size = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":237
   *     c[0].layer1_size = model.trainables.layer1_size
   *     c[0].vector_size = model.docvecs.vector_size
   *     c[0].workers = model.workers             # <<<<<<<<<<<<<<
   *     c[0].docvecs_count = docvecs_count
   * 
   */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_workers); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 237, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 237, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    (__pyx_v_c[0]).workers = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":238
   *     c[0].vector_size = model.docvecs.vector_size
   *     c[0].workers = model.workers
   *     c[0].docvecs_count = docvecs_count             # <<<<<<<<<<<<<<
   * 
   *     c[0].window = model.window
   */
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_v_docvecs_count); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 238, __pyx_L1_error)
    (__pyx_v_c[0]).docvecs_count = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":240
   *     c[0].docvecs_count = docvecs_count
   * 
   *     c[0].window = model.window             # <<<<<<<<<<<<<<
   *     c[0].expected_doctag_len = model.dm_tag_count
   * 
   */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_window); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 240, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 240, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    (__pyx_v_c[0]).window = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":241
   * 
   *     c[0].window = model.window
   *     c[0].expected_doctag_len = model.dm_tag_count             # <<<<<<<<<<<<<<
   * 
   *     if '\0' in model.wv.vocab:
   */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_dm_tag_count); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 241, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 241, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    (__pyx_v_c[0]).expected_doctag_len = __pyx_t_2;
  
    /* "gensim/models/doc2vec_inner.pyx":243
   *     c[0].expected_doctag_len = model.dm_tag_count
   * 
   *     if '\0' in model.wv.vocab:             # <<<<<<<<<<<<<<
   *         c[0].null_word_index = model.wv.vocab['\0'].index
   * 
   */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 243, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_vocab); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 243, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_5 = (__Pyx_PySequence_ContainsTF(__pyx_kp_s_, __pyx_t_3, Py_EQ)); if (unlikely(__pyx_t_5 < 0)) __PYX_ERR(0, 243, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __pyx_t_6 = (__pyx_t_5 != 0);
    if (__pyx_t_6) {
  
      /* "gensim/models/doc2vec_inner.pyx":244
   * 
   *     if '\0' in model.wv.vocab:
   *         c[0].null_word_index = model.wv.vocab['\0'].index             # <<<<<<<<<<<<<<
   * 
   *     # default vectors, locks from syn0/doctag_syn0
   */
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 244, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_vocab); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 244, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_3 = __Pyx_PyObject_Dict_GetItem(__pyx_t_1, __pyx_kp_s_); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 244, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_index); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 244, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 244, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      (__pyx_v_c[0]).null_word_index = __pyx_t_2;
  
      /* "gensim/models/doc2vec_inner.pyx":243
   *     c[0].expected_doctag_len = model.dm_tag_count
   * 
   *     if '\0' in model.wv.vocab:             # <<<<<<<<<<<<<<
   *         c[0].null_word_index = model.wv.vocab['\0'].index
   * 
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":247
   * 
   *     # default vectors, locks from syn0/doctag_syn0
   *     if word_vectors is None:             # <<<<<<<<<<<<<<
   *        word_vectors = model.wv.vectors
   *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
   */
    __pyx_t_6 = (__pyx_v_word_vectors == Py_None);
    __pyx_t_5 = (__pyx_t_6 != 0);
    if (__pyx_t_5) {
  
      /* "gensim/models/doc2vec_inner.pyx":248
   *     # default vectors, locks from syn0/doctag_syn0
   *     if word_vectors is None:
   *        word_vectors = model.wv.vectors             # <<<<<<<<<<<<<<
   *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
   *     if doctag_vectors is None:
   */
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 248, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_vectors); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 248, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_DECREF_SET(__pyx_v_word_vectors, __pyx_t_3);
      __pyx_t_3 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":247
   * 
   *     # default vectors, locks from syn0/doctag_syn0
   *     if word_vectors is None:             # <<<<<<<<<<<<<<
   *        word_vectors = model.wv.vectors
   *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":249
   *     if word_vectors is None:
   *        word_vectors = model.wv.vectors
   *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))             # <<<<<<<<<<<<<<
   *     if doctag_vectors is None:
   *        doctag_vectors = model.docvecs.vectors_docs
   */
    if (!(likely(((__pyx_v_word_vectors) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_word_vectors, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 249, __pyx_L1_error)
    (__pyx_v_c[0]).word_vectors = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_word_vectors)));
  
    /* "gensim/models/doc2vec_inner.pyx":250
   *        word_vectors = model.wv.vectors
   *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
   *     if doctag_vectors is None:             # <<<<<<<<<<<<<<
   *        doctag_vectors = model.docvecs.vectors_docs
   *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
   */
    __pyx_t_5 = (__pyx_v_doctag_vectors == Py_None);
    __pyx_t_6 = (__pyx_t_5 != 0);
    if (__pyx_t_6) {
  
      /* "gensim/models/doc2vec_inner.pyx":251
   *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
   *     if doctag_vectors is None:
   *        doctag_vectors = model.docvecs.vectors_docs             # <<<<<<<<<<<<<<
   *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
   *     if word_locks is None:
   */
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_docvecs); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 251, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_vectors_docs); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 251, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF_SET(__pyx_v_doctag_vectors, __pyx_t_1);
      __pyx_t_1 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":250
   *        word_vectors = model.wv.vectors
   *     c[0].word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
   *     if doctag_vectors is None:             # <<<<<<<<<<<<<<
   *        doctag_vectors = model.docvecs.vectors_docs
   *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":252
   *     if doctag_vectors is None:
   *        doctag_vectors = model.docvecs.vectors_docs
   *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))             # <<<<<<<<<<<<<<
   *     if word_locks is None:
   *        word_locks = model.trainables.vectors_lockf
   */
    if (!(likely(((__pyx_v_doctag_vectors) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_doctag_vectors, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 252, __pyx_L1_error)
    (__pyx_v_c[0]).doctag_vectors = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_doctag_vectors)));
  
    /* "gensim/models/doc2vec_inner.pyx":253
   *        doctag_vectors = model.docvecs.vectors_docs
   *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
   *     if word_locks is None:             # <<<<<<<<<<<<<<
   *        word_locks = model.trainables.vectors_lockf
   *     c[0].word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))
   */
    __pyx_t_6 = (__pyx_v_word_locks == Py_None);
    __pyx_t_5 = (__pyx_t_6 != 0);
    if (__pyx_t_5) {
  
      /* "gensim/models/doc2vec_inner.pyx":254
   *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
   *     if word_locks is None:
   *        word_locks = model.trainables.vectors_lockf             # <<<<<<<<<<<<<<
   *     c[0].word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))
   *     if doctag_locks is None:
   */
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_trainables); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 254, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_vectors_lockf); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 254, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_DECREF_SET(__pyx_v_word_locks, __pyx_t_3);
      __pyx_t_3 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":253
   *        doctag_vectors = model.docvecs.vectors_docs
   *     c[0].doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
   *     if word_locks is None:             # <<<<<<<<<<<<<<
   *        word_locks = model.trainables.vectors_lockf
   *     c[0].word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":255
   *     if word_locks is None:
   *        word_locks = model.trainables.vectors_lockf
   *     c[0].word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))             # <<<<<<<<<<<<<<
   *     if doctag_locks is None:
   *        doctag_locks = model.trainables.vectors_docs_lockf
   */
    if (!(likely(((__pyx_v_word_locks) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_word_locks, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 255, __pyx_L1_error)
    (__pyx_v_c[0]).word_locks = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_word_locks)));
  
    /* "gensim/models/doc2vec_inner.pyx":256
   *        word_locks = model.trainables.vectors_lockf
   *     c[0].word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))
   *     if doctag_locks is None:             # <<<<<<<<<<<<<<
   *        doctag_locks = model.trainables.vectors_docs_lockf
   *     c[0].doctag_locks = <REAL_t *>(np.PyArray_DATA(doctag_locks))
   */
    __pyx_t_5 = (__pyx_v_doctag_locks == Py_None);
    __pyx_t_6 = (__pyx_t_5 != 0);
    if (__pyx_t_6) {
  
      /* "gensim/models/doc2vec_inner.pyx":257
   *     c[0].word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))
   *     if doctag_locks is None:
   *        doctag_locks = model.trainables.vectors_docs_lockf             # <<<<<<<<<<<<<<
   *     c[0].doctag_locks = <REAL_t *>(np.PyArray_DATA(doctag_locks))
   * 
   */
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_trainables); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 257, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_vectors_docs_lockf); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 257, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF_SET(__pyx_v_doctag_locks, __pyx_t_1);
      __pyx_t_1 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":256
   *        word_locks = model.trainables.vectors_lockf
   *     c[0].word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))
   *     if doctag_locks is None:             # <<<<<<<<<<<<<<
   *        doctag_locks = model.trainables.vectors_docs_lockf
   *     c[0].doctag_locks = <REAL_t *>(np.PyArray_DATA(doctag_locks))
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":258
   *     if doctag_locks is None:
   *        doctag_locks = model.trainables.vectors_docs_lockf
   *     c[0].doctag_locks = <REAL_t *>(np.PyArray_DATA(doctag_locks))             # <<<<<<<<<<<<<<
   * 
   *     if c[0].hs:
   */
    if (!(likely(((__pyx_v_doctag_locks) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_doctag_locks, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 258, __pyx_L1_error)
    (__pyx_v_c[0]).doctag_locks = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_doctag_locks)));
  
    /* "gensim/models/doc2vec_inner.pyx":260
   *     c[0].doctag_locks = <REAL_t *>(np.PyArray_DATA(doctag_locks))
   * 
   *     if c[0].hs:             # <<<<<<<<<<<<<<
   *         c[0].syn1 = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1))
   * 
   */
    __pyx_t_6 = ((__pyx_v_c[0]).hs != 0);
    if (__pyx_t_6) {
  
      /* "gensim/models/doc2vec_inner.pyx":261
   * 
   *     if c[0].hs:
   *         c[0].syn1 = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1))             # <<<<<<<<<<<<<<
   * 
   *     if c[0].negative:
   */
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_trainables); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 261, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_syn1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 261, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 261, __pyx_L1_error)
      (__pyx_v_c[0]).syn1 = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_3)));
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":260
   *     c[0].doctag_locks = <REAL_t *>(np.PyArray_DATA(doctag_locks))
   * 
   *     if c[0].hs:             # <<<<<<<<<<<<<<
   *         c[0].syn1 = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1))
   * 
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":263
   *         c[0].syn1 = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1))
   * 
   *     if c[0].negative:             # <<<<<<<<<<<<<<
   *         c[0].syn1neg = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1neg))
   *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table))
   */
    __pyx_t_6 = ((__pyx_v_c[0]).negative != 0);
    if (__pyx_t_6) {
  
      /* "gensim/models/doc2vec_inner.pyx":264
   * 
   *     if c[0].negative:
   *         c[0].syn1neg = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1neg))             # <<<<<<<<<<<<<<
   *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table))
   *         c[0].cum_table_len = len(model.vocabulary.cum_table)
   */
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_trainables); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 264, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_syn1neg); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 264, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 264, __pyx_L1_error)
      (__pyx_v_c[0]).syn1neg = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_1)));
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":265
   *     if c[0].negative:
   *         c[0].syn1neg = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1neg))
   *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table))             # <<<<<<<<<<<<<<
   *         c[0].cum_table_len = len(model.vocabulary.cum_table)
   *     if c[0].negative or c[0].sample:
   */
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_vocabulary); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 265, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_cum_table); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 265, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 265, __pyx_L1_error)
      (__pyx_v_c[0]).cum_table = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_3)));
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":266
   *         c[0].syn1neg = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1neg))
   *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table))
   *         c[0].cum_table_len = len(model.vocabulary.cum_table)             # <<<<<<<<<<<<<<
   *     if c[0].negative or c[0].sample:
   *         c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)
   */
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_vocabulary); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 266, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_cum_table); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 266, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_7 = PyObject_Length(__pyx_t_1); if (unlikely(__pyx_t_7 == ((Py_ssize_t)-1))) __PYX_ERR(0, 266, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      (__pyx_v_c[0]).cum_table_len = __pyx_t_7;
  
      /* "gensim/models/doc2vec_inner.pyx":263
   *         c[0].syn1 = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1))
   * 
   *     if c[0].negative:             # <<<<<<<<<<<<<<
   *         c[0].syn1neg = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1neg))
   *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table))
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":267
   *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table))
   *         c[0].cum_table_len = len(model.vocabulary.cum_table)
   *     if c[0].negative or c[0].sample:             # <<<<<<<<<<<<<<
   *         c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)
   * 
   */
    __pyx_t_5 = ((__pyx_v_c[0]).negative != 0);
    if (!__pyx_t_5) {
    } else {
      __pyx_t_6 = __pyx_t_5;
      goto __pyx_L11_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_c[0]).sample != 0);
    __pyx_t_6 = __pyx_t_5;
    __pyx_L11_bool_binop_done:;
    if (__pyx_t_6) {
  
      /* "gensim/models/doc2vec_inner.pyx":268
   *         c[0].cum_table_len = len(model.vocabulary.cum_table)
   *     if c[0].negative or c[0].sample:
   *         c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)             # <<<<<<<<<<<<<<
   * 
   *     # convert Python structures to primitive types, so we can release the GIL
   */
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_random); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 268, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_randint); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 268, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_tuple__2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 268, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_3 = PyNumber_Multiply(__pyx_int_16777216, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 268, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_random); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 268, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_randint); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 268, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_tuple__2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 268, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __pyx_t_8 = PyNumber_Add(__pyx_t_3, __pyx_t_1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 268, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __pyx_t_9 = __Pyx_PyInt_As_unsigned_PY_LONG_LONG(__pyx_t_8); if (unlikely((__pyx_t_9 == (unsigned PY_LONG_LONG)-1) && PyErr_Occurred())) __PYX_ERR(0, 268, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      (__pyx_v_c[0]).next_random = __pyx_t_9;
  
      /* "gensim/models/doc2vec_inner.pyx":267
   *         c[0].cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table))
   *         c[0].cum_table_len = len(model.vocabulary.cum_table)
   *     if c[0].negative or c[0].sample:             # <<<<<<<<<<<<<<
   *         c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)
   * 
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":271
   * 
   *     # convert Python structures to primitive types, so we can release the GIL
   *     if work is None:             # <<<<<<<<<<<<<<
   *        work = zeros(model.trainables.layer1_size, dtype=REAL)
   *     c[0].work = <REAL_t *>np.PyArray_DATA(work)
   */
    __pyx_t_6 = (__pyx_v_work == Py_None);
    __pyx_t_5 = (__pyx_t_6 != 0);
    if (__pyx_t_5) {
  
      /* "gensim/models/doc2vec_inner.pyx":272
   *     # convert Python structures to primitive types, so we can release the GIL
   *     if work is None:
   *        work = zeros(model.trainables.layer1_size, dtype=REAL)             # <<<<<<<<<<<<<<
   *     c[0].work = <REAL_t *>np.PyArray_DATA(work)
   *     if neu1 is None:
   */
      __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_zeros); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 272, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_trainables); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 272, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_layer1_size); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 272, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 272, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_3);
      PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_3);
      __pyx_t_3 = 0;
      __pyx_t_3 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 272, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_REAL); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 272, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_10);
      if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_dtype, __pyx_t_10) < 0) __PYX_ERR(0, 272, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
      __pyx_t_10 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_1, __pyx_t_3); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 272, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_10);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF_SET(__pyx_v_work, __pyx_t_10);
      __pyx_t_10 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":271
   * 
   *     # convert Python structures to primitive types, so we can release the GIL
   *     if work is None:             # <<<<<<<<<<<<<<
   *        work = zeros(model.trainables.layer1_size, dtype=REAL)
   *     c[0].work = <REAL_t *>np.PyArray_DATA(work)
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":273
   *     if work is None:
   *        work = zeros(model.trainables.layer1_size, dtype=REAL)
   *     c[0].work = <REAL_t *>np.PyArray_DATA(work)             # <<<<<<<<<<<<<<
   *     if neu1 is None:
   *        neu1 = zeros(model.trainables.layer1_size, dtype=REAL)
   */
    if (!(likely(((__pyx_v_work) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_work, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 273, __pyx_L1_error)
    (__pyx_v_c[0]).work = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_work)));
  
    /* "gensim/models/doc2vec_inner.pyx":274
   *        work = zeros(model.trainables.layer1_size, dtype=REAL)
   *     c[0].work = <REAL_t *>np.PyArray_DATA(work)
   *     if neu1 is None:             # <<<<<<<<<<<<<<
   *        neu1 = zeros(model.trainables.layer1_size, dtype=REAL)
   *     c[0].neu1 = <REAL_t *>np.PyArray_DATA(neu1)
   */
    __pyx_t_5 = (__pyx_v_neu1 == Py_None);
    __pyx_t_6 = (__pyx_t_5 != 0);
    if (__pyx_t_6) {
  
      /* "gensim/models/doc2vec_inner.pyx":275
   *     c[0].work = <REAL_t *>np.PyArray_DATA(work)
   *     if neu1 is None:
   *        neu1 = zeros(model.trainables.layer1_size, dtype=REAL)             # <<<<<<<<<<<<<<
   *     c[0].neu1 = <REAL_t *>np.PyArray_DATA(neu1)
   * 
   */
      __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_zeros); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 275, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_10);
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_trainables); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 275, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_layer1_size); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 275, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 275, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_GIVEREF(__pyx_t_1);
      PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_1);
      __pyx_t_1 = 0;
      __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 275, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_REAL); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 275, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 275, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_10, __pyx_t_3, __pyx_t_1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 275, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_DECREF_SET(__pyx_v_neu1, __pyx_t_8);
      __pyx_t_8 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":274
   *        work = zeros(model.trainables.layer1_size, dtype=REAL)
   *     c[0].work = <REAL_t *>np.PyArray_DATA(work)
   *     if neu1 is None:             # <<<<<<<<<<<<<<
   *        neu1 = zeros(model.trainables.layer1_size, dtype=REAL)
   *     c[0].neu1 = <REAL_t *>np.PyArray_DATA(neu1)
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":276
   *     if neu1 is None:
   *        neu1 = zeros(model.trainables.layer1_size, dtype=REAL)
   *     c[0].neu1 = <REAL_t *>np.PyArray_DATA(neu1)             # <<<<<<<<<<<<<<
   * 
   * 
   */
    if (!(likely(((__pyx_v_neu1) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_neu1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 276, __pyx_L1_error)
    (__pyx_v_c[0]).neu1 = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_neu1)));
  
    /* "gensim/models/doc2vec_inner.pyx":223
   * 
   * 
   * cdef init_d2v_config(Doc2VecConfig *c, model, alpha, learn_doctags, learn_words, learn_hidden,             # <<<<<<<<<<<<<<
   *                      train_words=False, work=None, neu1=None, word_vectors=None, word_locks=None, doctag_vectors=None,
   *                      doctag_locks=None, docvecs_count=0):
   */
  
    /* function exit code */
    __pyx_r = Py_None; __Pyx_INCREF(Py_None);
    goto __pyx_L0;
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_XDECREF(__pyx_t_3);
    __Pyx_XDECREF(__pyx_t_8);
    __Pyx_XDECREF(__pyx_t_10);
    __Pyx_AddTraceback("gensim.models.doc2vec_inner.init_d2v_config", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = 0;
    __pyx_L0:;
    __Pyx_XDECREF(__pyx_v_work);
    __Pyx_XDECREF(__pyx_v_neu1);
    __Pyx_XDECREF(__pyx_v_word_vectors);
    __Pyx_XDECREF(__pyx_v_word_locks);
    __Pyx_XDECREF(__pyx_v_doctag_vectors);
    __Pyx_XDECREF(__pyx_v_doctag_locks);
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* "gensim/models/doc2vec_inner.pyx":280
   * 
   * 
   * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,             # <<<<<<<<<<<<<<
   *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
   *                         word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
  
  /* Python wrapper */
  static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_1train_document_dbow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
  static char __pyx_doc_6gensim_6models_13doc2vec_inner_train_document_dbow[] = "train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None, train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True, word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None)\nUpdate distributed bag of words model (\"PV-DBOW\") by training on a single document.\n\n    Called internally from :meth:`~gensim.models.doc2vec.Doc2Vec.train` and\n    :meth:`~gensim.models.doc2vec.Doc2Vec.infer_vector`.\n\n    Parameters\n    ----------\n    model : :class:`~gensim.models.doc2vec.Doc2Vec`\n        The model to train.\n    doc_words : list of str\n        The input document as a list of words to be used for training. Each word will be looked up in\n        the model's vocabulary.\n    doctag_indexes : list of int\n        Indices into `doctag_vectors` used to obtain the tags of the document.\n    alpha : float\n        Learning rate.\n    work : list of float, optional\n        Updates to be performed on each neuron in the hidden layer of the underlying network.\n    train_words : bool, optional\n        Word vectors will be updated exactly as per Word2Vec skip-gram training only if **both** `learn_words`\n        and `train_words` are set to True.\n    learn_doctags : bool, optional\n        Whether the tag vectors should be updated.\n    learn_words : bool, optional\n        Word vectors will be updated exactly as per Word2Vec skip-gram training only if **both**\n        `learn_words` and `train_words` are set to True.\n    learn_hidden : bool, optional\n        Whether or not the weights of the hidden layer will be updated.\n    word_vectors : numpy.ndarray, optional\n        The vector representation for each word in the vocabulary. If None, these will be retrieved from the model.\n    word_locks : numpy.ndarray, optional\n        A learning lock factor for each weight in the hidden layer for words, value 0 completely blocks updates,\n        a value of 1 allows to update word-vectors.\n    doctag_vectors : numpy.ndarray, ""optional\n        Vector representations of the tags. If None, these will be retrieved from the model.\n    doctag_locks : numpy.ndarray, optional\n        The lock factors for each tag, same as `word_locks`, but for document-vectors.\n\n    Returns\n    -------\n    int\n        Number of words in the input document that were actually used for training.\n\n    ";
  static PyMethodDef __pyx_mdef_6gensim_6models_13doc2vec_inner_1train_document_dbow = {"train_document_dbow", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gensim_6models_13doc2vec_inner_1train_document_dbow, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_13doc2vec_inner_train_document_dbow};
  static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_1train_document_dbow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
    PyObject *__pyx_v_model = 0;
    PyObject *__pyx_v_doc_words = 0;
    PyObject *__pyx_v_doctag_indexes = 0;
    PyObject *__pyx_v_alpha = 0;
    PyObject *__pyx_v_work = 0;
    PyObject *__pyx_v_train_words = 0;
    PyObject *__pyx_v_learn_doctags = 0;
    PyObject *__pyx_v_learn_words = 0;
    PyObject *__pyx_v_learn_hidden = 0;
    PyObject *__pyx_v_word_vectors = 0;
    PyObject *__pyx_v_word_locks = 0;
    PyObject *__pyx_v_doctag_vectors = 0;
    PyObject *__pyx_v_doctag_locks = 0;
    PyObject *__pyx_r = 0;
    __Pyx_RefNannyDeclarations
    __Pyx_RefNannySetupContext("train_document_dbow (wrapper)", 0);
    {
      static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_model,&__pyx_n_s_doc_words,&__pyx_n_s_doctag_indexes,&__pyx_n_s_alpha,&__pyx_n_s_work,&__pyx_n_s_train_words,&__pyx_n_s_learn_doctags,&__pyx_n_s_learn_words,&__pyx_n_s_learn_hidden,&__pyx_n_s_word_vectors,&__pyx_n_s_word_locks,&__pyx_n_s_doctag_vectors,&__pyx_n_s_doctag_locks,0};
      PyObject* values[13] = {0,0,0,0,0,0,0,0,0,0,0,0,0};
      values[4] = ((PyObject *)Py_None);
  
      /* "gensim/models/doc2vec_inner.pyx":281
   * 
   * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,
   *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,             # <<<<<<<<<<<<<<
   *                         word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   *     """Update distributed bag of words model ("PV-DBOW") by training on a single document.
   */
      values[5] = ((PyObject *)Py_False);
      values[6] = ((PyObject *)Py_True);
      values[7] = ((PyObject *)Py_True);
      values[8] = ((PyObject *)Py_True);
  
      /* "gensim/models/doc2vec_inner.pyx":282
   * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,
   *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
   *                         word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):             # <<<<<<<<<<<<<<
   *     """Update distributed bag of words model ("PV-DBOW") by training on a single document.
   * 
   */
      values[9] = ((PyObject *)Py_None);
      values[10] = ((PyObject *)Py_None);
      values[11] = ((PyObject *)Py_None);
      values[12] = ((PyObject *)Py_None);
      if (unlikely(__pyx_kwds)) {
        Py_ssize_t kw_args;
        const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
        switch (pos_args) {
          case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
          CYTHON_FALLTHROUGH;
          case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
          CYTHON_FALLTHROUGH;
          case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
          CYTHON_FALLTHROUGH;
          case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
          CYTHON_FALLTHROUGH;
          case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
          CYTHON_FALLTHROUGH;
          case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
          CYTHON_FALLTHROUGH;
          case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
          CYTHON_FALLTHROUGH;
          case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
          CYTHON_FALLTHROUGH;
          case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
          CYTHON_FALLTHROUGH;
          case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
          CYTHON_FALLTHROUGH;
          case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
          CYTHON_FALLTHROUGH;
          case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
          CYTHON_FALLTHROUGH;
          case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
          CYTHON_FALLTHROUGH;
          case  0: break;
          default: goto __pyx_L5_argtuple_error;
        }
        kw_args = PyDict_Size(__pyx_kwds);
        switch (pos_args) {
          case  0:
          if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_model)) != 0)) kw_args--;
          else goto __pyx_L5_argtuple_error;
          CYTHON_FALLTHROUGH;
          case  1:
          if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doc_words)) != 0)) kw_args--;
          else {
            __Pyx_RaiseArgtupleInvalid("train_document_dbow", 0, 4, 13, 1); __PYX_ERR(0, 280, __pyx_L3_error)
          }
          CYTHON_FALLTHROUGH;
          case  2:
          if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_indexes)) != 0)) kw_args--;
          else {
            __Pyx_RaiseArgtupleInvalid("train_document_dbow", 0, 4, 13, 2); __PYX_ERR(0, 280, __pyx_L3_error)
          }
          CYTHON_FALLTHROUGH;
          case  3:
          if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_alpha)) != 0)) kw_args--;
          else {
            __Pyx_RaiseArgtupleInvalid("train_document_dbow", 0, 4, 13, 3); __PYX_ERR(0, 280, __pyx_L3_error)
          }
          CYTHON_FALLTHROUGH;
          case  4:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_work);
            if (value) { values[4] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  5:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_train_words);
            if (value) { values[5] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  6:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_doctags);
            if (value) { values[6] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  7:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_words);
            if (value) { values[7] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  8:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_hidden);
            if (value) { values[8] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  9:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_word_vectors);
            if (value) { values[9] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case 10:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_word_locks);
            if (value) { values[10] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case 11:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_vectors);
            if (value) { values[11] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case 12:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_locks);
            if (value) { values[12] = value; kw_args--; }
          }
        }
        if (unlikely(kw_args > 0)) {
          if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "train_document_dbow") < 0)) __PYX_ERR(0, 280, __pyx_L3_error)
        }
      } else {
        switch (PyTuple_GET_SIZE(__pyx_args)) {
          case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
          CYTHON_FALLTHROUGH;
          case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
          CYTHON_FALLTHROUGH;
          case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
          CYTHON_FALLTHROUGH;
          case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
          CYTHON_FALLTHROUGH;
          case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
          CYTHON_FALLTHROUGH;
          case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
          CYTHON_FALLTHROUGH;
          case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
          CYTHON_FALLTHROUGH;
          case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
          CYTHON_FALLTHROUGH;
          case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
          CYTHON_FALLTHROUGH;
          case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
          values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
          values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
          values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
          break;
          default: goto __pyx_L5_argtuple_error;
        }
      }
      __pyx_v_model = values[0];
      __pyx_v_doc_words = values[1];
      __pyx_v_doctag_indexes = values[2];
      __pyx_v_alpha = values[3];
      __pyx_v_work = values[4];
      __pyx_v_train_words = values[5];
      __pyx_v_learn_doctags = values[6];
      __pyx_v_learn_words = values[7];
      __pyx_v_learn_hidden = values[8];
      __pyx_v_word_vectors = values[9];
      __pyx_v_word_locks = values[10];
      __pyx_v_doctag_vectors = values[11];
      __pyx_v_doctag_locks = values[12];
    }
    goto __pyx_L4_argument_unpacking_done;
    __pyx_L5_argtuple_error:;
    __Pyx_RaiseArgtupleInvalid("train_document_dbow", 0, 4, 13, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 280, __pyx_L3_error)
    __pyx_L3_error:;
    __Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dbow", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __Pyx_RefNannyFinishContext();
    return NULL;
    __pyx_L4_argument_unpacking_done:;
    __pyx_r = __pyx_pf_6gensim_6models_13doc2vec_inner_train_document_dbow(__pyx_self, __pyx_v_model, __pyx_v_doc_words, __pyx_v_doctag_indexes, __pyx_v_alpha, __pyx_v_work, __pyx_v_train_words, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, __pyx_v_word_vectors, __pyx_v_word_locks, __pyx_v_doctag_vectors, __pyx_v_doctag_locks);
  
    /* "gensim/models/doc2vec_inner.pyx":280
   * 
   * 
   * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,             # <<<<<<<<<<<<<<
   *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
   *                         word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
  
    /* function exit code */
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_train_document_dbow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_train_words, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_word_locks, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctag_locks) {
    struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig __pyx_v_c;
    int __pyx_v_i;
    int __pyx_v_j;
    long __pyx_v_result;
    PyObject *__pyx_v_vlookup = NULL;
    PyObject *__pyx_v_token = NULL;
    PyObject *__pyx_v_predict_word = NULL;
    PyObject *__pyx_v_item = NULL;
    long __pyx_v_k;
    PyObject *__pyx_r = NULL;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config __pyx_t_2;
    Py_ssize_t __pyx_t_3;
    long __pyx_t_4;
    Py_ssize_t __pyx_t_5;
    PyObject *__pyx_t_6 = NULL;
    PyObject *(*__pyx_t_7)(PyObject *);
    int __pyx_t_8;
    PyObject *__pyx_t_9 = NULL;
    int __pyx_t_10;
    PyObject *__pyx_t_11 = NULL;
    __pyx_t_5numpy_uint32_t __pyx_t_12;
    int __pyx_t_13;
    PyObject *__pyx_t_14 = NULL;
    int __pyx_t_15;
    PyObject *__pyx_t_16 = NULL;
    int __pyx_t_17;
    int __pyx_t_18;
    long __pyx_t_19;
    int __pyx_t_20;
    int __pyx_t_21;
    __Pyx_RefNannySetupContext("train_document_dbow", 0);
  
    /* "gensim/models/doc2vec_inner.pyx":330
   * 
   *     cdef int i, j
   *     cdef long result = 0             # <<<<<<<<<<<<<<
   * 
   *     init_d2v_config(&c, model, alpha, learn_doctags, learn_words, learn_hidden, train_words=train_words, work=work,
   */
    __pyx_v_result = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":332
   *     cdef long result = 0
   * 
   *     init_d2v_config(&c, model, alpha, learn_doctags, learn_words, learn_hidden, train_words=train_words, work=work,             # <<<<<<<<<<<<<<
   *                     neu1=None, word_vectors=word_vectors, word_locks=word_locks,
   *                     doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)
   */
    __pyx_t_2.__pyx_n = 7;
    __pyx_t_2.train_words = __pyx_v_train_words;
    __pyx_t_2.work = __pyx_v_work;
    __pyx_t_2.neu1 = Py_None;
    __pyx_t_2.word_vectors = __pyx_v_word_vectors;
    __pyx_t_2.word_locks = __pyx_v_word_locks;
    __pyx_t_2.doctag_vectors = __pyx_v_doctag_vectors;
    __pyx_t_2.doctag_locks = __pyx_v_doctag_locks;
    __pyx_t_1 = __pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config((&__pyx_v_c), __pyx_v_model, __pyx_v_alpha, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, &__pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 332, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":336
   *                     doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)
   * 
   *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))             # <<<<<<<<<<<<<<
   * 
   *     vlookup = model.wv.vocab
   */
    __pyx_t_3 = PyObject_Length(__pyx_v_doctag_indexes); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 336, __pyx_L1_error)
    __pyx_t_4 = 0x2710;
    if (((__pyx_t_3 < __pyx_t_4) != 0)) {
      __pyx_t_5 = __pyx_t_3;
    } else {
      __pyx_t_5 = __pyx_t_4;
    }
    __pyx_v_c.doctag_len = ((int)__pyx_t_5);
  
    /* "gensim/models/doc2vec_inner.pyx":338
   *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
   * 
   *     vlookup = model.wv.vocab             # <<<<<<<<<<<<<<
   *     i = 0
   *     for token in doc_words:
   */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 338, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_vocab); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 338, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_v_vlookup = __pyx_t_6;
    __pyx_t_6 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":339
   * 
   *     vlookup = model.wv.vocab
   *     i = 0             # <<<<<<<<<<<<<<
   *     for token in doc_words:
   *         predict_word = vlookup[token] if token in vlookup else None
   */
    __pyx_v_i = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":340
   *     vlookup = model.wv.vocab
   *     i = 0
   *     for token in doc_words:             # <<<<<<<<<<<<<<
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word
   */
    if (likely(PyList_CheckExact(__pyx_v_doc_words)) || PyTuple_CheckExact(__pyx_v_doc_words)) {
      __pyx_t_6 = __pyx_v_doc_words; __Pyx_INCREF(__pyx_t_6); __pyx_t_5 = 0;
      __pyx_t_7 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_6 = PyObject_GetIter(__pyx_v_doc_words); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 340, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      __pyx_t_7 = Py_TYPE(__pyx_t_6)->tp_iternext; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 340, __pyx_L1_error)
    }
    for (;;) {
      if (likely(!__pyx_t_7)) {
        if (likely(PyList_CheckExact(__pyx_t_6))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_6)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_1 = PyList_GET_ITEM(__pyx_t_6, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 340, __pyx_L1_error)
          #else
          __pyx_t_1 = PySequence_ITEM(__pyx_t_6, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 340, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_1);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_6)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_6, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 340, __pyx_L1_error)
          #else
          __pyx_t_1 = PySequence_ITEM(__pyx_t_6, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 340, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_1);
          #endif
        }
      } else {
        __pyx_t_1 = __pyx_t_7(__pyx_t_6);
        if (unlikely(!__pyx_t_1)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 340, __pyx_L1_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_1);
      }
      __Pyx_XDECREF_SET(__pyx_v_token, __pyx_t_1);
      __pyx_t_1 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":341
   *     i = 0
   *     for token in doc_words:
   *         predict_word = vlookup[token] if token in vlookup else None             # <<<<<<<<<<<<<<
   *         if predict_word is None:  # shrink document to leave out word
   *             continue  # leaving i unchanged
   */
      __pyx_t_8 = (__Pyx_PySequence_ContainsTF(__pyx_v_token, __pyx_v_vlookup, Py_EQ)); if (unlikely(__pyx_t_8 < 0)) __PYX_ERR(0, 341, __pyx_L1_error)
      if ((__pyx_t_8 != 0)) {
        __pyx_t_9 = __Pyx_PyObject_GetItem(__pyx_v_vlookup, __pyx_v_token); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 341, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_9);
        __pyx_t_1 = __pyx_t_9;
        __pyx_t_9 = 0;
      } else {
        __Pyx_INCREF(Py_None);
        __pyx_t_1 = Py_None;
      }
      __Pyx_XDECREF_SET(__pyx_v_predict_word, __pyx_t_1);
      __pyx_t_1 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":342
   *     for token in doc_words:
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word             # <<<<<<<<<<<<<<
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   */
      __pyx_t_8 = (__pyx_v_predict_word == Py_None);
      __pyx_t_10 = (__pyx_t_8 != 0);
      if (__pyx_t_10) {
  
        /* "gensim/models/doc2vec_inner.pyx":343
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word
   *             continue  # leaving i unchanged             # <<<<<<<<<<<<<<
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   *             continue
   */
        goto __pyx_L3_continue;
  
        /* "gensim/models/doc2vec_inner.pyx":342
   *     for token in doc_words:
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word             # <<<<<<<<<<<<<<
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":344
   *         if predict_word is None:  # shrink document to leave out word
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):             # <<<<<<<<<<<<<<
   *             continue
   *         c.indexes[i] = predict_word.index
   */
      __pyx_t_8 = (__pyx_v_c.sample != 0);
      if (__pyx_t_8) {
      } else {
        __pyx_t_10 = __pyx_t_8;
        goto __pyx_L7_bool_binop_done;
      }
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_sample_int); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 344, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_9 = __Pyx_PyInt_From_unsigned_PY_LONG_LONG(__pyx_f_6gensim_6models_14word2vec_inner_random_int32((&__pyx_v_c.next_random))); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 344, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __pyx_t_11 = PyObject_RichCompare(__pyx_t_1, __pyx_t_9, Py_LT); __Pyx_XGOTREF(__pyx_t_11); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 344, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      __pyx_t_8 = __Pyx_PyObject_IsTrue(__pyx_t_11); if (unlikely(__pyx_t_8 < 0)) __PYX_ERR(0, 344, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
      __pyx_t_10 = __pyx_t_8;
      __pyx_L7_bool_binop_done:;
      if (__pyx_t_10) {
  
        /* "gensim/models/doc2vec_inner.pyx":345
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   *             continue             # <<<<<<<<<<<<<<
   *         c.indexes[i] = predict_word.index
   *         if c.hs:
   */
        goto __pyx_L3_continue;
  
        /* "gensim/models/doc2vec_inner.pyx":344
   *         if predict_word is None:  # shrink document to leave out word
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):             # <<<<<<<<<<<<<<
   *             continue
   *         c.indexes[i] = predict_word.index
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":346
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   *             continue
   *         c.indexes[i] = predict_word.index             # <<<<<<<<<<<<<<
   *         if c.hs:
   *             c.codelens[i] = <int>len(predict_word.code)
   */
      __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_index); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 346, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __pyx_t_12 = __Pyx_PyInt_As_npy_uint32(__pyx_t_11); if (unlikely((__pyx_t_12 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 346, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
      (__pyx_v_c.indexes[__pyx_v_i]) = __pyx_t_12;
  
      /* "gensim/models/doc2vec_inner.pyx":347
   *             continue
   *         c.indexes[i] = predict_word.index
   *         if c.hs:             # <<<<<<<<<<<<<<
   *             c.codelens[i] = <int>len(predict_word.code)
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   */
      __pyx_t_10 = (__pyx_v_c.hs != 0);
      if (__pyx_t_10) {
  
        /* "gensim/models/doc2vec_inner.pyx":348
   *         c.indexes[i] = predict_word.index
   *         if c.hs:
   *             c.codelens[i] = <int>len(predict_word.code)             # <<<<<<<<<<<<<<
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
   */
        __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_code); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 348, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_11);
        __pyx_t_3 = PyObject_Length(__pyx_t_11); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 348, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
        (__pyx_v_c.codelens[__pyx_v_i]) = ((int)__pyx_t_3);
  
        /* "gensim/models/doc2vec_inner.pyx":349
   *         if c.hs:
   *             c.codelens[i] = <int>len(predict_word.code)
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)             # <<<<<<<<<<<<<<
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
   *         result += 1
   */
        __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_code); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 349, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_11);
        if (!(likely(((__pyx_t_11) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_11, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 349, __pyx_L1_error)
        (__pyx_v_c.codes[__pyx_v_i]) = ((__pyx_t_5numpy_uint8_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_11)));
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  
        /* "gensim/models/doc2vec_inner.pyx":350
   *             c.codelens[i] = <int>len(predict_word.code)
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)             # <<<<<<<<<<<<<<
   *         result += 1
   *         i += 1
   */
        __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_point); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 350, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_11);
        if (!(likely(((__pyx_t_11) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_11, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 350, __pyx_L1_error)
        (__pyx_v_c.points[__pyx_v_i]) = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_11)));
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  
        /* "gensim/models/doc2vec_inner.pyx":347
   *             continue
   *         c.indexes[i] = predict_word.index
   *         if c.hs:             # <<<<<<<<<<<<<<
   *             c.codelens[i] = <int>len(predict_word.code)
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":351
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
   *         result += 1             # <<<<<<<<<<<<<<
   *         i += 1
   *         if i == MAX_DOCUMENT_LEN:
   */
      __pyx_v_result = (__pyx_v_result + 1);
  
      /* "gensim/models/doc2vec_inner.pyx":352
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
   *         result += 1
   *         i += 1             # <<<<<<<<<<<<<<
   *         if i == MAX_DOCUMENT_LEN:
   *             break  # TODO: log warning, tally overflow?
   */
      __pyx_v_i = (__pyx_v_i + 1);
  
      /* "gensim/models/doc2vec_inner.pyx":353
   *         result += 1
   *         i += 1
   *         if i == MAX_DOCUMENT_LEN:             # <<<<<<<<<<<<<<
   *             break  # TODO: log warning, tally overflow?
   *     c.document_len = i
   */
      __pyx_t_10 = ((__pyx_v_i == 0x2710) != 0);
      if (__pyx_t_10) {
  
        /* "gensim/models/doc2vec_inner.pyx":354
   *         i += 1
   *         if i == MAX_DOCUMENT_LEN:
   *             break  # TODO: log warning, tally overflow?             # <<<<<<<<<<<<<<
   *     c.document_len = i
   * 
   */
        goto __pyx_L4_break;
  
        /* "gensim/models/doc2vec_inner.pyx":353
   *         result += 1
   *         i += 1
   *         if i == MAX_DOCUMENT_LEN:             # <<<<<<<<<<<<<<
   *             break  # TODO: log warning, tally overflow?
   *     c.document_len = i
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":340
   *     vlookup = model.wv.vocab
   *     i = 0
   *     for token in doc_words:             # <<<<<<<<<<<<<<
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word
   */
      __pyx_L3_continue:;
    }
    __pyx_L4_break:;
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":355
   *         if i == MAX_DOCUMENT_LEN:
   *             break  # TODO: log warning, tally overflow?
   *     c.document_len = i             # <<<<<<<<<<<<<<
   * 
   *     if c.train_words:
   */
    __pyx_v_c.document_len = __pyx_v_i;
  
    /* "gensim/models/doc2vec_inner.pyx":357
   *     c.document_len = i
   * 
   *     if c.train_words:             # <<<<<<<<<<<<<<
   *         # single randint() call avoids a big thread-synchronization slowdown
   *         for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):
   */
    __pyx_t_10 = (__pyx_v_c.train_words != 0);
    if (__pyx_t_10) {
  
      /* "gensim/models/doc2vec_inner.pyx":359
   *     if c.train_words:
   *         # single randint() call avoids a big thread-synchronization slowdown
   *         for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):             # <<<<<<<<<<<<<<
   *             c.reduced_windows[i] = item
   * 
   */
      __pyx_t_13 = 0;
      __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_random); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 359, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_randint); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 359, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
      __pyx_t_11 = __Pyx_PyInt_From_int(__pyx_v_c.window); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 359, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_c.document_len); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 359, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_14 = NULL;
      __pyx_t_15 = 0;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
        __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_9);
        if (likely(__pyx_t_14)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
          __Pyx_INCREF(__pyx_t_14);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_9, function);
          __pyx_t_15 = 1;
        }
      }
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_9)) {
        PyObject *__pyx_temp[4] = {__pyx_t_14, __pyx_int_0, __pyx_t_11, __pyx_t_1};
        __pyx_t_6 = __Pyx_PyFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_15, 3+__pyx_t_15); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 359, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
        __Pyx_GOTREF(__pyx_t_6);
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_9)) {
        PyObject *__pyx_temp[4] = {__pyx_t_14, __pyx_int_0, __pyx_t_11, __pyx_t_1};
        __pyx_t_6 = __Pyx_PyCFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_15, 3+__pyx_t_15); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 359, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
        __Pyx_GOTREF(__pyx_t_6);
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      } else
      #endif
      {
        __pyx_t_16 = PyTuple_New(3+__pyx_t_15); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 359, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_16);
        if (__pyx_t_14) {
          __Pyx_GIVEREF(__pyx_t_14); PyTuple_SET_ITEM(__pyx_t_16, 0, __pyx_t_14); __pyx_t_14 = NULL;
        }
        __Pyx_INCREF(__pyx_int_0);
        __Pyx_GIVEREF(__pyx_int_0);
        PyTuple_SET_ITEM(__pyx_t_16, 0+__pyx_t_15, __pyx_int_0);
        __Pyx_GIVEREF(__pyx_t_11);
        PyTuple_SET_ITEM(__pyx_t_16, 1+__pyx_t_15, __pyx_t_11);
        __Pyx_GIVEREF(__pyx_t_1);
        PyTuple_SET_ITEM(__pyx_t_16, 2+__pyx_t_15, __pyx_t_1);
        __pyx_t_11 = 0;
        __pyx_t_1 = 0;
        __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_9, __pyx_t_16, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 359, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_6);
        __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;
      }
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      if (likely(PyList_CheckExact(__pyx_t_6)) || PyTuple_CheckExact(__pyx_t_6)) {
        __pyx_t_9 = __pyx_t_6; __Pyx_INCREF(__pyx_t_9); __pyx_t_5 = 0;
        __pyx_t_7 = NULL;
      } else {
        __pyx_t_5 = -1; __pyx_t_9 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 359, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_9);
        __pyx_t_7 = Py_TYPE(__pyx_t_9)->tp_iternext; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 359, __pyx_L1_error)
      }
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      for (;;) {
        if (likely(!__pyx_t_7)) {
          if (likely(PyList_CheckExact(__pyx_t_9))) {
            if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_9)) break;
            #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
            __pyx_t_6 = PyList_GET_ITEM(__pyx_t_9, __pyx_t_5); __Pyx_INCREF(__pyx_t_6); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 359, __pyx_L1_error)
            #else
            __pyx_t_6 = PySequence_ITEM(__pyx_t_9, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 359, __pyx_L1_error)
            __Pyx_GOTREF(__pyx_t_6);
            #endif
          } else {
            if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_9)) break;
            #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
            __pyx_t_6 = PyTuple_GET_ITEM(__pyx_t_9, __pyx_t_5); __Pyx_INCREF(__pyx_t_6); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 359, __pyx_L1_error)
            #else
            __pyx_t_6 = PySequence_ITEM(__pyx_t_9, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 359, __pyx_L1_error)
            __Pyx_GOTREF(__pyx_t_6);
            #endif
          }
        } else {
          __pyx_t_6 = __pyx_t_7(__pyx_t_9);
          if (unlikely(!__pyx_t_6)) {
            PyObject* exc_type = PyErr_Occurred();
            if (exc_type) {
              if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
              else __PYX_ERR(0, 359, __pyx_L1_error)
            }
            break;
          }
          __Pyx_GOTREF(__pyx_t_6);
        }
        __Pyx_XDECREF_SET(__pyx_v_item, __pyx_t_6);
        __pyx_t_6 = 0;
        __pyx_v_i = __pyx_t_13;
        __pyx_t_13 = (__pyx_t_13 + 1);
  
        /* "gensim/models/doc2vec_inner.pyx":360
   *         # single randint() call avoids a big thread-synchronization slowdown
   *         for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):
   *             c.reduced_windows[i] = item             # <<<<<<<<<<<<<<
   * 
   *     for i in range(c.doctag_len):
   */
        __pyx_t_12 = __Pyx_PyInt_As_npy_uint32(__pyx_v_item); if (unlikely((__pyx_t_12 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 360, __pyx_L1_error)
        (__pyx_v_c.reduced_windows[__pyx_v_i]) = __pyx_t_12;
  
        /* "gensim/models/doc2vec_inner.pyx":359
   *     if c.train_words:
   *         # single randint() call avoids a big thread-synchronization slowdown
   *         for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):             # <<<<<<<<<<<<<<
   *             c.reduced_windows[i] = item
   * 
   */
      }
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":357
   *     c.document_len = i
   * 
   *     if c.train_words:             # <<<<<<<<<<<<<<
   *         # single randint() call avoids a big thread-synchronization slowdown
   *         for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":362
   *             c.reduced_windows[i] = item
   * 
   *     for i in range(c.doctag_len):             # <<<<<<<<<<<<<<
   *         c.doctag_indexes[i] = doctag_indexes[i]
   *         result += 1
   */
    __pyx_t_13 = __pyx_v_c.doctag_len;
    __pyx_t_15 = __pyx_t_13;
    for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
      __pyx_v_i = __pyx_t_17;
  
      /* "gensim/models/doc2vec_inner.pyx":363
   * 
   *     for i in range(c.doctag_len):
   *         c.doctag_indexes[i] = doctag_indexes[i]             # <<<<<<<<<<<<<<
   *         result += 1
   * 
   */
      __pyx_t_9 = __Pyx_GetItemInt(__pyx_v_doctag_indexes, __pyx_v_i, int, 1, __Pyx_PyInt_From_int, 0, 0, 0); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 363, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __pyx_t_12 = __Pyx_PyInt_As_npy_uint32(__pyx_t_9); if (unlikely((__pyx_t_12 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 363, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      (__pyx_v_c.doctag_indexes[__pyx_v_i]) = __pyx_t_12;
  
      /* "gensim/models/doc2vec_inner.pyx":364
   *     for i in range(c.doctag_len):
   *         c.doctag_indexes[i] = doctag_indexes[i]
   *         result += 1             # <<<<<<<<<<<<<<
   * 
   *     # release GIL & train on the document
   */
      __pyx_v_result = (__pyx_v_result + 1);
    }
  
    /* "gensim/models/doc2vec_inner.pyx":367
   * 
   *     # release GIL & train on the document
   *     with nogil:             # <<<<<<<<<<<<<<
   *         for i in range(c.document_len):
   *             if c.train_words:  # simultaneous skip-gram wordvec-training
   */
    {
        #ifdef WITH_THREAD
        PyThreadState *_save;
        Py_UNBLOCK_THREADS
        __Pyx_FastGIL_Remember();
        #endif
        /*try:*/ {
  
          /* "gensim/models/doc2vec_inner.pyx":368
   *     # release GIL & train on the document
   *     with nogil:
   *         for i in range(c.document_len):             # <<<<<<<<<<<<<<
   *             if c.train_words:  # simultaneous skip-gram wordvec-training
   *                 j = i - c.window + c.reduced_windows[i]
   */
          __pyx_t_13 = __pyx_v_c.document_len;
          __pyx_t_15 = __pyx_t_13;
          for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
            __pyx_v_i = __pyx_t_17;
  
            /* "gensim/models/doc2vec_inner.pyx":369
   *     with nogil:
   *         for i in range(c.document_len):
   *             if c.train_words:  # simultaneous skip-gram wordvec-training             # <<<<<<<<<<<<<<
   *                 j = i - c.window + c.reduced_windows[i]
   *                 if j < 0:
   */
            __pyx_t_10 = (__pyx_v_c.train_words != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":370
   *         for i in range(c.document_len):
   *             if c.train_words:  # simultaneous skip-gram wordvec-training
   *                 j = i - c.window + c.reduced_windows[i]             # <<<<<<<<<<<<<<
   *                 if j < 0:
   *                     j = 0
   */
              __pyx_v_j = ((__pyx_v_i - __pyx_v_c.window) + (__pyx_v_c.reduced_windows[__pyx_v_i]));
  
              /* "gensim/models/doc2vec_inner.pyx":371
   *             if c.train_words:  # simultaneous skip-gram wordvec-training
   *                 j = i - c.window + c.reduced_windows[i]
   *                 if j < 0:             # <<<<<<<<<<<<<<
   *                     j = 0
   *                 k = i + c.window + 1 - c.reduced_windows[i]
   */
              __pyx_t_10 = ((__pyx_v_j < 0) != 0);
              if (__pyx_t_10) {
  
                /* "gensim/models/doc2vec_inner.pyx":372
   *                 j = i - c.window + c.reduced_windows[i]
   *                 if j < 0:
   *                     j = 0             # <<<<<<<<<<<<<<
   *                 k = i + c.window + 1 - c.reduced_windows[i]
   *                 if k > c.document_len:
   */
                __pyx_v_j = 0;
  
                /* "gensim/models/doc2vec_inner.pyx":371
   *             if c.train_words:  # simultaneous skip-gram wordvec-training
   *                 j = i - c.window + c.reduced_windows[i]
   *                 if j < 0:             # <<<<<<<<<<<<<<
   *                     j = 0
   *                 k = i + c.window + 1 - c.reduced_windows[i]
   */
              }
  
              /* "gensim/models/doc2vec_inner.pyx":373
   *                 if j < 0:
   *                     j = 0
   *                 k = i + c.window + 1 - c.reduced_windows[i]             # <<<<<<<<<<<<<<
   *                 if k > c.document_len:
   *                     k = c.document_len
   */
              __pyx_v_k = (((__pyx_v_i + __pyx_v_c.window) + 1) - (__pyx_v_c.reduced_windows[__pyx_v_i]));
  
              /* "gensim/models/doc2vec_inner.pyx":374
   *                     j = 0
   *                 k = i + c.window + 1 - c.reduced_windows[i]
   *                 if k > c.document_len:             # <<<<<<<<<<<<<<
   *                     k = c.document_len
   *                 for j in range(j, k):
   */
              __pyx_t_10 = ((__pyx_v_k > __pyx_v_c.document_len) != 0);
              if (__pyx_t_10) {
  
                /* "gensim/models/doc2vec_inner.pyx":375
   *                 k = i + c.window + 1 - c.reduced_windows[i]
   *                 if k > c.document_len:
   *                     k = c.document_len             # <<<<<<<<<<<<<<
   *                 for j in range(j, k):
   *                     if j == i:
   */
                __pyx_t_18 = __pyx_v_c.document_len;
                __pyx_v_k = __pyx_t_18;
  
                /* "gensim/models/doc2vec_inner.pyx":374
   *                     j = 0
   *                 k = i + c.window + 1 - c.reduced_windows[i]
   *                 if k > c.document_len:             # <<<<<<<<<<<<<<
   *                     k = c.document_len
   *                 for j in range(j, k):
   */
              }
  
              /* "gensim/models/doc2vec_inner.pyx":376
   *                 if k > c.document_len:
   *                     k = c.document_len
   *                 for j in range(j, k):             # <<<<<<<<<<<<<<
   *                     if j == i:
   *                         continue
   */
              __pyx_t_4 = __pyx_v_k;
              __pyx_t_19 = __pyx_t_4;
              for (__pyx_t_18 = __pyx_v_j; __pyx_t_18 < __pyx_t_19; __pyx_t_18+=1) {
                __pyx_v_j = __pyx_t_18;
  
                /* "gensim/models/doc2vec_inner.pyx":377
   *                     k = c.document_len
   *                 for j in range(j, k):
   *                     if j == i:             # <<<<<<<<<<<<<<
   *                         continue
   *                     if c.hs:
   */
                __pyx_t_10 = ((__pyx_v_j == __pyx_v_i) != 0);
                if (__pyx_t_10) {
  
                  /* "gensim/models/doc2vec_inner.pyx":378
   *                 for j in range(j, k):
   *                     if j == i:
   *                         continue             # <<<<<<<<<<<<<<
   *                     if c.hs:
   *                         # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
   */
                  goto __pyx_L24_continue;
  
                  /* "gensim/models/doc2vec_inner.pyx":377
   *                     k = c.document_len
   *                 for j in range(j, k):
   *                     if j == i:             # <<<<<<<<<<<<<<
   *                         continue
   *                     if c.hs:
   */
                }
  
                /* "gensim/models/doc2vec_inner.pyx":379
   *                     if j == i:
   *                         continue
   *                     if c.hs:             # <<<<<<<<<<<<<<
   *                         # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
   *                         fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.word_vectors, c.syn1, c.layer1_size,
   */
                __pyx_t_10 = (__pyx_v_c.hs != 0);
                if (__pyx_t_10) {
  
                  /* "gensim/models/doc2vec_inner.pyx":381
   *                     if c.hs:
   *                         # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
   *                         fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.word_vectors, c.syn1, c.layer1_size,             # <<<<<<<<<<<<<<
   *                                               c.indexes[j], c.alpha, c.work, c.learn_words, c.learn_hidden, c.word_locks)
   *                     if c.negative:
   */
                  __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_hs((__pyx_v_c.points[__pyx_v_i]), (__pyx_v_c.codes[__pyx_v_i]), (__pyx_v_c.codelens[__pyx_v_i]), __pyx_v_c.word_vectors, __pyx_v_c.syn1, __pyx_v_c.layer1_size, (__pyx_v_c.indexes[__pyx_v_j]), __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.learn_words, __pyx_v_c.learn_hidden, __pyx_v_c.word_locks);
  
                  /* "gensim/models/doc2vec_inner.pyx":379
   *                     if j == i:
   *                         continue
   *                     if c.hs:             # <<<<<<<<<<<<<<
   *                         # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
   *                         fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.word_vectors, c.syn1, c.layer1_size,
   */
                }
  
                /* "gensim/models/doc2vec_inner.pyx":383
   *                         fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.word_vectors, c.syn1, c.layer1_size,
   *                                               c.indexes[j], c.alpha, c.work, c.learn_words, c.learn_hidden, c.word_locks)
   *                     if c.negative:             # <<<<<<<<<<<<<<
   *                         # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
   *                         c.next_random = fast_document_dbow_neg(c.negative, c.cum_table, c.cum_table_len, c.word_vectors,
   */
                __pyx_t_10 = (__pyx_v_c.negative != 0);
                if (__pyx_t_10) {
  
                  /* "gensim/models/doc2vec_inner.pyx":385
   *                     if c.negative:
   *                         # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
   *                         c.next_random = fast_document_dbow_neg(c.negative, c.cum_table, c.cum_table_len, c.word_vectors,             # <<<<<<<<<<<<<<
   *                                                                c.syn1neg, c.layer1_size, c.indexes[i], c.indexes[j],
   *                                                                c.alpha, c.work, c.next_random, c.learn_words,
   */
                  __pyx_v_c.next_random = __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg(__pyx_v_c.negative, __pyx_v_c.cum_table, __pyx_v_c.cum_table_len, __pyx_v_c.word_vectors, __pyx_v_c.syn1neg, __pyx_v_c.layer1_size, (__pyx_v_c.indexes[__pyx_v_i]), (__pyx_v_c.indexes[__pyx_v_j]), __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.next_random, __pyx_v_c.learn_words, __pyx_v_c.learn_hidden, __pyx_v_c.word_locks);
  
                  /* "gensim/models/doc2vec_inner.pyx":383
   *                         fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.word_vectors, c.syn1, c.layer1_size,
   *                                               c.indexes[j], c.alpha, c.work, c.learn_words, c.learn_hidden, c.word_locks)
   *                     if c.negative:             # <<<<<<<<<<<<<<
   *                         # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
   *                         c.next_random = fast_document_dbow_neg(c.negative, c.cum_table, c.cum_table_len, c.word_vectors,
   */
                }
                __pyx_L24_continue:;
              }
  
              /* "gensim/models/doc2vec_inner.pyx":369
   *     with nogil:
   *         for i in range(c.document_len):
   *             if c.train_words:  # simultaneous skip-gram wordvec-training             # <<<<<<<<<<<<<<
   *                 j = i - c.window + c.reduced_windows[i]
   *                 if j < 0:
   */
            }
  
            /* "gensim/models/doc2vec_inner.pyx":391
   * 
   *             # docvec-training
   *             for j in range(c.doctag_len):             # <<<<<<<<<<<<<<
   *                 if c.hs:
   *                     fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.doctag_vectors, c.syn1, c.layer1_size,
   */
            __pyx_t_18 = __pyx_v_c.doctag_len;
            __pyx_t_20 = __pyx_t_18;
            for (__pyx_t_21 = 0; __pyx_t_21 < __pyx_t_20; __pyx_t_21+=1) {
              __pyx_v_j = __pyx_t_21;
  
              /* "gensim/models/doc2vec_inner.pyx":392
   *             # docvec-training
   *             for j in range(c.doctag_len):
   *                 if c.hs:             # <<<<<<<<<<<<<<
   *                     fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.doctag_vectors, c.syn1, c.layer1_size,
   *                                           c.doctag_indexes[j], c.alpha, c.work, c.learn_doctags, c.learn_hidden, c.doctag_locks)
   */
              __pyx_t_10 = (__pyx_v_c.hs != 0);
              if (__pyx_t_10) {
  
                /* "gensim/models/doc2vec_inner.pyx":393
   *             for j in range(c.doctag_len):
   *                 if c.hs:
   *                     fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.doctag_vectors, c.syn1, c.layer1_size,             # <<<<<<<<<<<<<<
   *                                           c.doctag_indexes[j], c.alpha, c.work, c.learn_doctags, c.learn_hidden, c.doctag_locks)
   *                 if c.negative:
   */
                __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_hs((__pyx_v_c.points[__pyx_v_i]), (__pyx_v_c.codes[__pyx_v_i]), (__pyx_v_c.codelens[__pyx_v_i]), __pyx_v_c.doctag_vectors, __pyx_v_c.syn1, __pyx_v_c.layer1_size, (__pyx_v_c.doctag_indexes[__pyx_v_j]), __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.learn_doctags, __pyx_v_c.learn_hidden, __pyx_v_c.doctag_locks);
  
                /* "gensim/models/doc2vec_inner.pyx":392
   *             # docvec-training
   *             for j in range(c.doctag_len):
   *                 if c.hs:             # <<<<<<<<<<<<<<
   *                     fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.doctag_vectors, c.syn1, c.layer1_size,
   *                                           c.doctag_indexes[j], c.alpha, c.work, c.learn_doctags, c.learn_hidden, c.doctag_locks)
   */
              }
  
              /* "gensim/models/doc2vec_inner.pyx":395
   *                     fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.doctag_vectors, c.syn1, c.layer1_size,
   *                                           c.doctag_indexes[j], c.alpha, c.work, c.learn_doctags, c.learn_hidden, c.doctag_locks)
   *                 if c.negative:             # <<<<<<<<<<<<<<
   *                     c.next_random = fast_document_dbow_neg(c.negative, c.cum_table, c.cum_table_len, c.doctag_vectors,
   *                                                            c.syn1neg, c.layer1_size, c.indexes[i], c.doctag_indexes[j],
   */
              __pyx_t_10 = (__pyx_v_c.negative != 0);
              if (__pyx_t_10) {
  
                /* "gensim/models/doc2vec_inner.pyx":396
   *                                           c.doctag_indexes[j], c.alpha, c.work, c.learn_doctags, c.learn_hidden, c.doctag_locks)
   *                 if c.negative:
   *                     c.next_random = fast_document_dbow_neg(c.negative, c.cum_table, c.cum_table_len, c.doctag_vectors,             # <<<<<<<<<<<<<<
   *                                                            c.syn1neg, c.layer1_size, c.indexes[i], c.doctag_indexes[j],
   *                                                            c.alpha, c.work, c.next_random, c.learn_doctags,
   */
                __pyx_v_c.next_random = __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg(__pyx_v_c.negative, __pyx_v_c.cum_table, __pyx_v_c.cum_table_len, __pyx_v_c.doctag_vectors, __pyx_v_c.syn1neg, __pyx_v_c.layer1_size, (__pyx_v_c.indexes[__pyx_v_i]), (__pyx_v_c.doctag_indexes[__pyx_v_j]), __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.next_random, __pyx_v_c.learn_doctags, __pyx_v_c.learn_hidden, __pyx_v_c.doctag_locks);
  
                /* "gensim/models/doc2vec_inner.pyx":395
   *                     fast_document_dbow_hs(c.points[i], c.codes[i], c.codelens[i], c.doctag_vectors, c.syn1, c.layer1_size,
   *                                           c.doctag_indexes[j], c.alpha, c.work, c.learn_doctags, c.learn_hidden, c.doctag_locks)
   *                 if c.negative:             # <<<<<<<<<<<<<<
   *                     c.next_random = fast_document_dbow_neg(c.negative, c.cum_table, c.cum_table_len, c.doctag_vectors,
   *                                                            c.syn1neg, c.layer1_size, c.indexes[i], c.doctag_indexes[j],
   */
              }
            }
          }
        }
  
        /* "gensim/models/doc2vec_inner.pyx":367
   * 
   *     # release GIL & train on the document
   *     with nogil:             # <<<<<<<<<<<<<<
   *         for i in range(c.document_len):
   *             if c.train_words:  # simultaneous skip-gram wordvec-training
   */
        /*finally:*/ {
          /*normal exit:*/{
            #ifdef WITH_THREAD
            __Pyx_FastGIL_Forget();
            Py_BLOCK_THREADS
            #endif
            goto __pyx_L18;
          }
          __pyx_L18:;
        }
    }
  
    /* "gensim/models/doc2vec_inner.pyx":401
   *                                                            c.learn_hidden, c.doctag_locks)
   * 
   *     return result             # <<<<<<<<<<<<<<
   * 
   * 
   */
    __Pyx_XDECREF(__pyx_r);
    __pyx_t_9 = __Pyx_PyInt_From_long(__pyx_v_result); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 401, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_r = __pyx_t_9;
    __pyx_t_9 = 0;
    goto __pyx_L0;
  
    /* "gensim/models/doc2vec_inner.pyx":280
   * 
   * 
   * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,             # <<<<<<<<<<<<<<
   *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
   *                         word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
  
    /* function exit code */
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_XDECREF(__pyx_t_6);
    __Pyx_XDECREF(__pyx_t_9);
    __Pyx_XDECREF(__pyx_t_11);
    __Pyx_XDECREF(__pyx_t_14);
    __Pyx_XDECREF(__pyx_t_16);
    __Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dbow", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = NULL;
    __pyx_L0:;
    __Pyx_XDECREF(__pyx_v_vlookup);
    __Pyx_XDECREF(__pyx_v_token);
    __Pyx_XDECREF(__pyx_v_predict_word);
    __Pyx_XDECREF(__pyx_v_item);
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* "gensim/models/doc2vec_inner.pyx":404
   * 
   * 
   * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
   *                       learn_doctags=True, learn_words=True, learn_hidden=True,
   *                       word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
  
  /* Python wrapper */
  static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_3train_document_dm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
  static char __pyx_doc_6gensim_6models_13doc2vec_inner_2train_document_dm[] = "train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, learn_doctags=True, learn_words=True, learn_hidden=True, word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None)\nUpdate distributed memory model (\"PV-DM\") by training on a single document.\n    This method implements the DM model with a projection (input) layer that is either the sum or mean of the context\n    vectors, depending on the model's `dm_mean` configuration field.\n\n    Called internally from :meth:`~gensim.models.doc2vec.Doc2Vec.train` and\n    :meth:`~gensim.models.doc2vec.Doc2Vec.infer_vector`.\n\n    Parameters\n    ----------\n    model : :class:`~gensim.models.doc2vec.Doc2Vec`\n        The model to train.\n    doc_words : list of str\n        The input document as a list of words to be used for training. Each word will be looked up in\n        the model's vocabulary.\n    doctag_indexes : list of int\n        Indices into `doctag_vectors` used to obtain the tags of the document.\n    alpha : float\n        Learning rate.\n    work : np.ndarray, optional\n        Private working memory for each worker.\n    neu1 : np.ndarray, optional\n        Private working memory for each worker.\n    learn_doctags : bool, optional\n        Whether the tag vectors should be updated.\n    learn_words : bool, optional\n        Word vectors will be updated exactly as per Word2Vec skip-gram training only if **both**\n        `learn_words` and `train_words` are set to True.\n    learn_hidden : bool, optional\n        Whether or not the weights of the hidden layer will be updated.\n    word_vectors : numpy.ndarray, optional\n        The vector representation for each word in the vocabulary. If None, these will be retrieved from the model.\n    word_locks : numpy.ndarray, optional\n        A learning lock factor for each weight in the hidden layer for words, value 0 completely blocks updates,\n        a value of 1 allows to update word-vectors.\n    doctag_vectors : n""umpy.ndarray, optional\n        Vector representations of the tags. If None, these will be retrieved from the model.\n    doctag_locks : numpy.ndarray, optional\n        The lock factors for each tag, same as `word_locks`, but for document-vectors.\n\n    Returns\n    -------\n    int\n        Number of words in the input document that were actually used for training.\n\n    ";
  static PyMethodDef __pyx_mdef_6gensim_6models_13doc2vec_inner_3train_document_dm = {"train_document_dm", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gensim_6models_13doc2vec_inner_3train_document_dm, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_13doc2vec_inner_2train_document_dm};
  static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_3train_document_dm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
    PyObject *__pyx_v_model = 0;
    PyObject *__pyx_v_doc_words = 0;
    PyObject *__pyx_v_doctag_indexes = 0;
    PyObject *__pyx_v_alpha = 0;
    PyObject *__pyx_v_work = 0;
    PyObject *__pyx_v_neu1 = 0;
    PyObject *__pyx_v_learn_doctags = 0;
    PyObject *__pyx_v_learn_words = 0;
    PyObject *__pyx_v_learn_hidden = 0;
    PyObject *__pyx_v_word_vectors = 0;
    PyObject *__pyx_v_word_locks = 0;
    PyObject *__pyx_v_doctag_vectors = 0;
    PyObject *__pyx_v_doctag_locks = 0;
    PyObject *__pyx_r = 0;
    __Pyx_RefNannyDeclarations
    __Pyx_RefNannySetupContext("train_document_dm (wrapper)", 0);
    {
      static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_model,&__pyx_n_s_doc_words,&__pyx_n_s_doctag_indexes,&__pyx_n_s_alpha,&__pyx_n_s_work,&__pyx_n_s_neu1,&__pyx_n_s_learn_doctags,&__pyx_n_s_learn_words,&__pyx_n_s_learn_hidden,&__pyx_n_s_word_vectors,&__pyx_n_s_word_locks,&__pyx_n_s_doctag_vectors,&__pyx_n_s_doctag_locks,0};
      PyObject* values[13] = {0,0,0,0,0,0,0,0,0,0,0,0,0};
      values[4] = ((PyObject *)Py_None);
      values[5] = ((PyObject *)Py_None);
  
      /* "gensim/models/doc2vec_inner.pyx":405
   * 
   * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,
   *                       learn_doctags=True, learn_words=True, learn_hidden=True,             # <<<<<<<<<<<<<<
   *                       word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   *     """Update distributed memory model ("PV-DM") by training on a single document.
   */
      values[6] = ((PyObject *)Py_True);
      values[7] = ((PyObject *)Py_True);
      values[8] = ((PyObject *)Py_True);
  
      /* "gensim/models/doc2vec_inner.pyx":406
   * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,
   *                       learn_doctags=True, learn_words=True, learn_hidden=True,
   *                       word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):             # <<<<<<<<<<<<<<
   *     """Update distributed memory model ("PV-DM") by training on a single document.
   *     This method implements the DM model with a projection (input) layer that is either the sum or mean of the context
   */
      values[9] = ((PyObject *)Py_None);
      values[10] = ((PyObject *)Py_None);
      values[11] = ((PyObject *)Py_None);
      values[12] = ((PyObject *)Py_None);
      if (unlikely(__pyx_kwds)) {
        Py_ssize_t kw_args;
        const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
        switch (pos_args) {
          case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
          CYTHON_FALLTHROUGH;
          case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
          CYTHON_FALLTHROUGH;
          case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
          CYTHON_FALLTHROUGH;
          case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
          CYTHON_FALLTHROUGH;
          case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
          CYTHON_FALLTHROUGH;
          case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
          CYTHON_FALLTHROUGH;
          case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
          CYTHON_FALLTHROUGH;
          case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
          CYTHON_FALLTHROUGH;
          case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
          CYTHON_FALLTHROUGH;
          case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
          CYTHON_FALLTHROUGH;
          case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
          CYTHON_FALLTHROUGH;
          case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
          CYTHON_FALLTHROUGH;
          case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
          CYTHON_FALLTHROUGH;
          case  0: break;
          default: goto __pyx_L5_argtuple_error;
        }
        kw_args = PyDict_Size(__pyx_kwds);
        switch (pos_args) {
          case  0:
          if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_model)) != 0)) kw_args--;
          else goto __pyx_L5_argtuple_error;
          CYTHON_FALLTHROUGH;
          case  1:
          if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doc_words)) != 0)) kw_args--;
          else {
            __Pyx_RaiseArgtupleInvalid("train_document_dm", 0, 4, 13, 1); __PYX_ERR(0, 404, __pyx_L3_error)
          }
          CYTHON_FALLTHROUGH;
          case  2:
          if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_indexes)) != 0)) kw_args--;
          else {
            __Pyx_RaiseArgtupleInvalid("train_document_dm", 0, 4, 13, 2); __PYX_ERR(0, 404, __pyx_L3_error)
          }
          CYTHON_FALLTHROUGH;
          case  3:
          if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_alpha)) != 0)) kw_args--;
          else {
            __Pyx_RaiseArgtupleInvalid("train_document_dm", 0, 4, 13, 3); __PYX_ERR(0, 404, __pyx_L3_error)
          }
          CYTHON_FALLTHROUGH;
          case  4:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_work);
            if (value) { values[4] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  5:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neu1);
            if (value) { values[5] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  6:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_doctags);
            if (value) { values[6] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  7:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_words);
            if (value) { values[7] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  8:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_hidden);
            if (value) { values[8] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  9:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_word_vectors);
            if (value) { values[9] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case 10:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_word_locks);
            if (value) { values[10] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case 11:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_vectors);
            if (value) { values[11] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case 12:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_locks);
            if (value) { values[12] = value; kw_args--; }
          }
        }
        if (unlikely(kw_args > 0)) {
          if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "train_document_dm") < 0)) __PYX_ERR(0, 404, __pyx_L3_error)
        }
      } else {
        switch (PyTuple_GET_SIZE(__pyx_args)) {
          case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
          CYTHON_FALLTHROUGH;
          case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
          CYTHON_FALLTHROUGH;
          case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
          CYTHON_FALLTHROUGH;
          case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
          CYTHON_FALLTHROUGH;
          case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
          CYTHON_FALLTHROUGH;
          case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
          CYTHON_FALLTHROUGH;
          case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
          CYTHON_FALLTHROUGH;
          case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
          CYTHON_FALLTHROUGH;
          case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
          CYTHON_FALLTHROUGH;
          case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
          values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
          values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
          values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
          break;
          default: goto __pyx_L5_argtuple_error;
        }
      }
      __pyx_v_model = values[0];
      __pyx_v_doc_words = values[1];
      __pyx_v_doctag_indexes = values[2];
      __pyx_v_alpha = values[3];
      __pyx_v_work = values[4];
      __pyx_v_neu1 = values[5];
      __pyx_v_learn_doctags = values[6];
      __pyx_v_learn_words = values[7];
      __pyx_v_learn_hidden = values[8];
      __pyx_v_word_vectors = values[9];
      __pyx_v_word_locks = values[10];
      __pyx_v_doctag_vectors = values[11];
      __pyx_v_doctag_locks = values[12];
    }
    goto __pyx_L4_argument_unpacking_done;
    __pyx_L5_argtuple_error:;
    __Pyx_RaiseArgtupleInvalid("train_document_dm", 0, 4, 13, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 404, __pyx_L3_error)
    __pyx_L3_error:;
    __Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dm", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __Pyx_RefNannyFinishContext();
    return NULL;
    __pyx_L4_argument_unpacking_done:;
    __pyx_r = __pyx_pf_6gensim_6models_13doc2vec_inner_2train_document_dm(__pyx_self, __pyx_v_model, __pyx_v_doc_words, __pyx_v_doctag_indexes, __pyx_v_alpha, __pyx_v_work, __pyx_v_neu1, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, __pyx_v_word_vectors, __pyx_v_word_locks, __pyx_v_doctag_vectors, __pyx_v_doctag_locks);
  
    /* "gensim/models/doc2vec_inner.pyx":404
   * 
   * 
   * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
   *                       learn_doctags=True, learn_words=True, learn_hidden=True,
   *                       word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
  
    /* function exit code */
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_2train_document_dm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_word_locks, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctag_locks) {
    struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig __pyx_v_c;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_count;
    __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_inv_count;
    int __pyx_v_i;
    int __pyx_v_j;
    int __pyx_v_k;
    int __pyx_v_m;
    long __pyx_v_result;
    PyObject *__pyx_v_vlookup = NULL;
    PyObject *__pyx_v_token = NULL;
    PyObject *__pyx_v_predict_word = NULL;
    PyObject *__pyx_v_item = NULL;
    PyObject *__pyx_r = NULL;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config __pyx_t_2;
    Py_ssize_t __pyx_t_3;
    long __pyx_t_4;
    Py_ssize_t __pyx_t_5;
    PyObject *__pyx_t_6 = NULL;
    PyObject *(*__pyx_t_7)(PyObject *);
    int __pyx_t_8;
    PyObject *__pyx_t_9 = NULL;
    int __pyx_t_10;
    PyObject *__pyx_t_11 = NULL;
    __pyx_t_5numpy_uint32_t __pyx_t_12;
    int __pyx_t_13;
    PyObject *__pyx_t_14 = NULL;
    int __pyx_t_15;
    PyObject *__pyx_t_16 = NULL;
    int __pyx_t_17;
    int __pyx_t_18;
    int __pyx_t_19;
    int __pyx_t_20;
    __Pyx_RefNannySetupContext("train_document_dm", 0);
  
    /* "gensim/models/doc2vec_inner.pyx":454
   *     cdef Doc2VecConfig c
   * 
   *     cdef REAL_t count, inv_count = 1.0             # <<<<<<<<<<<<<<
   *     cdef int i, j, k, m
   *     cdef long result = 0
   */
    __pyx_v_inv_count = 1.0;
  
    /* "gensim/models/doc2vec_inner.pyx":456
   *     cdef REAL_t count, inv_count = 1.0
   *     cdef int i, j, k, m
   *     cdef long result = 0             # <<<<<<<<<<<<<<
   * 
   *     init_d2v_config(&c, model, alpha, learn_doctags, learn_words, learn_hidden, train_words=False,
   */
    __pyx_v_result = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":458
   *     cdef long result = 0
   * 
   *     init_d2v_config(&c, model, alpha, learn_doctags, learn_words, learn_hidden, train_words=False,             # <<<<<<<<<<<<<<
   *                     work=work, neu1=neu1, word_vectors=word_vectors, word_locks=word_locks,
   *                     doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)
   */
    __pyx_t_2.__pyx_n = 7;
    __pyx_t_2.train_words = Py_False;
    __pyx_t_2.work = __pyx_v_work;
    __pyx_t_2.neu1 = __pyx_v_neu1;
    __pyx_t_2.word_vectors = __pyx_v_word_vectors;
    __pyx_t_2.word_locks = __pyx_v_word_locks;
    __pyx_t_2.doctag_vectors = __pyx_v_doctag_vectors;
    __pyx_t_2.doctag_locks = __pyx_v_doctag_locks;
    __pyx_t_1 = __pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config((&__pyx_v_c), __pyx_v_model, __pyx_v_alpha, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, &__pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 458, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":462
   *                     doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)
   * 
   *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))             # <<<<<<<<<<<<<<
   * 
   *     vlookup = model.wv.vocab
   */
    __pyx_t_3 = PyObject_Length(__pyx_v_doctag_indexes); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 462, __pyx_L1_error)
    __pyx_t_4 = 0x2710;
    if (((__pyx_t_3 < __pyx_t_4) != 0)) {
      __pyx_t_5 = __pyx_t_3;
    } else {
      __pyx_t_5 = __pyx_t_4;
    }
    __pyx_v_c.doctag_len = ((int)__pyx_t_5);
  
    /* "gensim/models/doc2vec_inner.pyx":464
   *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
   * 
   *     vlookup = model.wv.vocab             # <<<<<<<<<<<<<<
   *     i = 0
   *     for token in doc_words:
   */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 464, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_vocab); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 464, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_v_vlookup = __pyx_t_6;
    __pyx_t_6 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":465
   * 
   *     vlookup = model.wv.vocab
   *     i = 0             # <<<<<<<<<<<<<<
   *     for token in doc_words:
   *         predict_word = vlookup[token] if token in vlookup else None
   */
    __pyx_v_i = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":466
   *     vlookup = model.wv.vocab
   *     i = 0
   *     for token in doc_words:             # <<<<<<<<<<<<<<
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word
   */
    if (likely(PyList_CheckExact(__pyx_v_doc_words)) || PyTuple_CheckExact(__pyx_v_doc_words)) {
      __pyx_t_6 = __pyx_v_doc_words; __Pyx_INCREF(__pyx_t_6); __pyx_t_5 = 0;
      __pyx_t_7 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_6 = PyObject_GetIter(__pyx_v_doc_words); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 466, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      __pyx_t_7 = Py_TYPE(__pyx_t_6)->tp_iternext; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 466, __pyx_L1_error)
    }
    for (;;) {
      if (likely(!__pyx_t_7)) {
        if (likely(PyList_CheckExact(__pyx_t_6))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_6)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_1 = PyList_GET_ITEM(__pyx_t_6, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 466, __pyx_L1_error)
          #else
          __pyx_t_1 = PySequence_ITEM(__pyx_t_6, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 466, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_1);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_6)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_6, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 466, __pyx_L1_error)
          #else
          __pyx_t_1 = PySequence_ITEM(__pyx_t_6, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 466, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_1);
          #endif
        }
      } else {
        __pyx_t_1 = __pyx_t_7(__pyx_t_6);
        if (unlikely(!__pyx_t_1)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 466, __pyx_L1_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_1);
      }
      __Pyx_XDECREF_SET(__pyx_v_token, __pyx_t_1);
      __pyx_t_1 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":467
   *     i = 0
   *     for token in doc_words:
   *         predict_word = vlookup[token] if token in vlookup else None             # <<<<<<<<<<<<<<
   *         if predict_word is None:  # shrink document to leave out word
   *             continue  # leaving i unchanged
   */
      __pyx_t_8 = (__Pyx_PySequence_ContainsTF(__pyx_v_token, __pyx_v_vlookup, Py_EQ)); if (unlikely(__pyx_t_8 < 0)) __PYX_ERR(0, 467, __pyx_L1_error)
      if ((__pyx_t_8 != 0)) {
        __pyx_t_9 = __Pyx_PyObject_GetItem(__pyx_v_vlookup, __pyx_v_token); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 467, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_9);
        __pyx_t_1 = __pyx_t_9;
        __pyx_t_9 = 0;
      } else {
        __Pyx_INCREF(Py_None);
        __pyx_t_1 = Py_None;
      }
      __Pyx_XDECREF_SET(__pyx_v_predict_word, __pyx_t_1);
      __pyx_t_1 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":468
   *     for token in doc_words:
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word             # <<<<<<<<<<<<<<
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   */
      __pyx_t_8 = (__pyx_v_predict_word == Py_None);
      __pyx_t_10 = (__pyx_t_8 != 0);
      if (__pyx_t_10) {
  
        /* "gensim/models/doc2vec_inner.pyx":469
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word
   *             continue  # leaving i unchanged             # <<<<<<<<<<<<<<
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   *             continue
   */
        goto __pyx_L3_continue;
  
        /* "gensim/models/doc2vec_inner.pyx":468
   *     for token in doc_words:
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word             # <<<<<<<<<<<<<<
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":470
   *         if predict_word is None:  # shrink document to leave out word
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):             # <<<<<<<<<<<<<<
   *             continue
   *         c.indexes[i] = predict_word.index
   */
      __pyx_t_8 = (__pyx_v_c.sample != 0);
      if (__pyx_t_8) {
      } else {
        __pyx_t_10 = __pyx_t_8;
        goto __pyx_L7_bool_binop_done;
      }
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_sample_int); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 470, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_9 = __Pyx_PyInt_From_unsigned_PY_LONG_LONG(__pyx_f_6gensim_6models_14word2vec_inner_random_int32((&__pyx_v_c.next_random))); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 470, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __pyx_t_11 = PyObject_RichCompare(__pyx_t_1, __pyx_t_9, Py_LT); __Pyx_XGOTREF(__pyx_t_11); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 470, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      __pyx_t_8 = __Pyx_PyObject_IsTrue(__pyx_t_11); if (unlikely(__pyx_t_8 < 0)) __PYX_ERR(0, 470, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
      __pyx_t_10 = __pyx_t_8;
      __pyx_L7_bool_binop_done:;
      if (__pyx_t_10) {
  
        /* "gensim/models/doc2vec_inner.pyx":471
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   *             continue             # <<<<<<<<<<<<<<
   *         c.indexes[i] = predict_word.index
   *         if c.hs:
   */
        goto __pyx_L3_continue;
  
        /* "gensim/models/doc2vec_inner.pyx":470
   *         if predict_word is None:  # shrink document to leave out word
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):             # <<<<<<<<<<<<<<
   *             continue
   *         c.indexes[i] = predict_word.index
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":472
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   *             continue
   *         c.indexes[i] = predict_word.index             # <<<<<<<<<<<<<<
   *         if c.hs:
   *             c.codelens[i] = <int>len(predict_word.code)
   */
      __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_index); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 472, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __pyx_t_12 = __Pyx_PyInt_As_npy_uint32(__pyx_t_11); if (unlikely((__pyx_t_12 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 472, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
      (__pyx_v_c.indexes[__pyx_v_i]) = __pyx_t_12;
  
      /* "gensim/models/doc2vec_inner.pyx":473
   *             continue
   *         c.indexes[i] = predict_word.index
   *         if c.hs:             # <<<<<<<<<<<<<<
   *             c.codelens[i] = <int>len(predict_word.code)
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   */
      __pyx_t_10 = (__pyx_v_c.hs != 0);
      if (__pyx_t_10) {
  
        /* "gensim/models/doc2vec_inner.pyx":474
   *         c.indexes[i] = predict_word.index
   *         if c.hs:
   *             c.codelens[i] = <int>len(predict_word.code)             # <<<<<<<<<<<<<<
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
   */
        __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_code); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 474, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_11);
        __pyx_t_3 = PyObject_Length(__pyx_t_11); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 474, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
        (__pyx_v_c.codelens[__pyx_v_i]) = ((int)__pyx_t_3);
  
        /* "gensim/models/doc2vec_inner.pyx":475
   *         if c.hs:
   *             c.codelens[i] = <int>len(predict_word.code)
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)             # <<<<<<<<<<<<<<
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
   *         result += 1
   */
        __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_code); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 475, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_11);
        if (!(likely(((__pyx_t_11) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_11, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 475, __pyx_L1_error)
        (__pyx_v_c.codes[__pyx_v_i]) = ((__pyx_t_5numpy_uint8_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_11)));
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  
        /* "gensim/models/doc2vec_inner.pyx":476
   *             c.codelens[i] = <int>len(predict_word.code)
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)             # <<<<<<<<<<<<<<
   *         result += 1
   *         i += 1
   */
        __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_point); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 476, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_11);
        if (!(likely(((__pyx_t_11) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_11, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 476, __pyx_L1_error)
        (__pyx_v_c.points[__pyx_v_i]) = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_11)));
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  
        /* "gensim/models/doc2vec_inner.pyx":473
   *             continue
   *         c.indexes[i] = predict_word.index
   *         if c.hs:             # <<<<<<<<<<<<<<
   *             c.codelens[i] = <int>len(predict_word.code)
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":477
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
   *         result += 1             # <<<<<<<<<<<<<<
   *         i += 1
   *         if i == MAX_DOCUMENT_LEN:
   */
      __pyx_v_result = (__pyx_v_result + 1);
  
      /* "gensim/models/doc2vec_inner.pyx":478
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
   *         result += 1
   *         i += 1             # <<<<<<<<<<<<<<
   *         if i == MAX_DOCUMENT_LEN:
   *             break  # TODO: log warning, tally overflow?
   */
      __pyx_v_i = (__pyx_v_i + 1);
  
      /* "gensim/models/doc2vec_inner.pyx":479
   *         result += 1
   *         i += 1
   *         if i == MAX_DOCUMENT_LEN:             # <<<<<<<<<<<<<<
   *             break  # TODO: log warning, tally overflow?
   *     c.document_len = i
   */
      __pyx_t_10 = ((__pyx_v_i == 0x2710) != 0);
      if (__pyx_t_10) {
  
        /* "gensim/models/doc2vec_inner.pyx":480
   *         i += 1
   *         if i == MAX_DOCUMENT_LEN:
   *             break  # TODO: log warning, tally overflow?             # <<<<<<<<<<<<<<
   *     c.document_len = i
   * 
   */
        goto __pyx_L4_break;
  
        /* "gensim/models/doc2vec_inner.pyx":479
   *         result += 1
   *         i += 1
   *         if i == MAX_DOCUMENT_LEN:             # <<<<<<<<<<<<<<
   *             break  # TODO: log warning, tally overflow?
   *     c.document_len = i
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":466
   *     vlookup = model.wv.vocab
   *     i = 0
   *     for token in doc_words:             # <<<<<<<<<<<<<<
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word
   */
      __pyx_L3_continue:;
    }
    __pyx_L4_break:;
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":481
   *         if i == MAX_DOCUMENT_LEN:
   *             break  # TODO: log warning, tally overflow?
   *     c.document_len = i             # <<<<<<<<<<<<<<
   * 
   *     # single randint() call avoids a big thread-sync slowdown
   */
    __pyx_v_c.document_len = __pyx_v_i;
  
    /* "gensim/models/doc2vec_inner.pyx":484
   * 
   *     # single randint() call avoids a big thread-sync slowdown
   *     for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):             # <<<<<<<<<<<<<<
   *         c.reduced_windows[i] = item
   * 
   */
    __pyx_t_13 = 0;
    __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_random); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 484, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_11);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_randint); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 484, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
    __pyx_t_11 = __Pyx_PyInt_From_int(__pyx_v_c.window); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 484, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_11);
    __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_c.document_len); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 484, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_14 = NULL;
    __pyx_t_15 = 0;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
      __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_9);
      if (likely(__pyx_t_14)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
        __Pyx_INCREF(__pyx_t_14);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_9, function);
        __pyx_t_15 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_9)) {
      PyObject *__pyx_temp[4] = {__pyx_t_14, __pyx_int_0, __pyx_t_11, __pyx_t_1};
      __pyx_t_6 = __Pyx_PyFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_15, 3+__pyx_t_15); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 484, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
      __Pyx_GOTREF(__pyx_t_6);
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_9)) {
      PyObject *__pyx_temp[4] = {__pyx_t_14, __pyx_int_0, __pyx_t_11, __pyx_t_1};
      __pyx_t_6 = __Pyx_PyCFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_15, 3+__pyx_t_15); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 484, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
      __Pyx_GOTREF(__pyx_t_6);
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    {
      __pyx_t_16 = PyTuple_New(3+__pyx_t_15); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 484, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_16);
      if (__pyx_t_14) {
        __Pyx_GIVEREF(__pyx_t_14); PyTuple_SET_ITEM(__pyx_t_16, 0, __pyx_t_14); __pyx_t_14 = NULL;
      }
      __Pyx_INCREF(__pyx_int_0);
      __Pyx_GIVEREF(__pyx_int_0);
      PyTuple_SET_ITEM(__pyx_t_16, 0+__pyx_t_15, __pyx_int_0);
      __Pyx_GIVEREF(__pyx_t_11);
      PyTuple_SET_ITEM(__pyx_t_16, 1+__pyx_t_15, __pyx_t_11);
      __Pyx_GIVEREF(__pyx_t_1);
      PyTuple_SET_ITEM(__pyx_t_16, 2+__pyx_t_15, __pyx_t_1);
      __pyx_t_11 = 0;
      __pyx_t_1 = 0;
      __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_9, __pyx_t_16, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 484, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;
    }
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    if (likely(PyList_CheckExact(__pyx_t_6)) || PyTuple_CheckExact(__pyx_t_6)) {
      __pyx_t_9 = __pyx_t_6; __Pyx_INCREF(__pyx_t_9); __pyx_t_5 = 0;
      __pyx_t_7 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_9 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 484, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __pyx_t_7 = Py_TYPE(__pyx_t_9)->tp_iternext; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 484, __pyx_L1_error)
    }
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    for (;;) {
      if (likely(!__pyx_t_7)) {
        if (likely(PyList_CheckExact(__pyx_t_9))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_9)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_6 = PyList_GET_ITEM(__pyx_t_9, __pyx_t_5); __Pyx_INCREF(__pyx_t_6); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 484, __pyx_L1_error)
          #else
          __pyx_t_6 = PySequence_ITEM(__pyx_t_9, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 484, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_6);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_9)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_6 = PyTuple_GET_ITEM(__pyx_t_9, __pyx_t_5); __Pyx_INCREF(__pyx_t_6); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 484, __pyx_L1_error)
          #else
          __pyx_t_6 = PySequence_ITEM(__pyx_t_9, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 484, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_6);
          #endif
        }
      } else {
        __pyx_t_6 = __pyx_t_7(__pyx_t_9);
        if (unlikely(!__pyx_t_6)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 484, __pyx_L1_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_6);
      }
      __Pyx_XDECREF_SET(__pyx_v_item, __pyx_t_6);
      __pyx_t_6 = 0;
      __pyx_v_i = __pyx_t_13;
      __pyx_t_13 = (__pyx_t_13 + 1);
  
      /* "gensim/models/doc2vec_inner.pyx":485
   *     # single randint() call avoids a big thread-sync slowdown
   *     for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):
   *         c.reduced_windows[i] = item             # <<<<<<<<<<<<<<
   * 
   *     for i in range(c.doctag_len):
   */
      __pyx_t_12 = __Pyx_PyInt_As_npy_uint32(__pyx_v_item); if (unlikely((__pyx_t_12 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 485, __pyx_L1_error)
      (__pyx_v_c.reduced_windows[__pyx_v_i]) = __pyx_t_12;
  
      /* "gensim/models/doc2vec_inner.pyx":484
   * 
   *     # single randint() call avoids a big thread-sync slowdown
   *     for i, item in enumerate(model.random.randint(0, c.window, c.document_len)):             # <<<<<<<<<<<<<<
   *         c.reduced_windows[i] = item
   * 
   */
    }
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":487
   *         c.reduced_windows[i] = item
   * 
   *     for i in range(c.doctag_len):             # <<<<<<<<<<<<<<
   *         c.doctag_indexes[i] = doctag_indexes[i]
   *         result += 1
   */
    __pyx_t_13 = __pyx_v_c.doctag_len;
    __pyx_t_15 = __pyx_t_13;
    for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
      __pyx_v_i = __pyx_t_17;
  
      /* "gensim/models/doc2vec_inner.pyx":488
   * 
   *     for i in range(c.doctag_len):
   *         c.doctag_indexes[i] = doctag_indexes[i]             # <<<<<<<<<<<<<<
   *         result += 1
   * 
   */
      __pyx_t_9 = __Pyx_GetItemInt(__pyx_v_doctag_indexes, __pyx_v_i, int, 1, __Pyx_PyInt_From_int, 0, 0, 0); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 488, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __pyx_t_12 = __Pyx_PyInt_As_npy_uint32(__pyx_t_9); if (unlikely((__pyx_t_12 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 488, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      (__pyx_v_c.doctag_indexes[__pyx_v_i]) = __pyx_t_12;
  
      /* "gensim/models/doc2vec_inner.pyx":489
   *     for i in range(c.doctag_len):
   *         c.doctag_indexes[i] = doctag_indexes[i]
   *         result += 1             # <<<<<<<<<<<<<<
   * 
   *     # release GIL & train on the document
   */
      __pyx_v_result = (__pyx_v_result + 1);
    }
  
    /* "gensim/models/doc2vec_inner.pyx":492
   * 
   *     # release GIL & train on the document
   *     with nogil:             # <<<<<<<<<<<<<<
   *         for i in range(c.document_len):
   *             j = i - c.window + c.reduced_windows[i]
   */
    {
        #ifdef WITH_THREAD
        PyThreadState *_save;
        Py_UNBLOCK_THREADS
        __Pyx_FastGIL_Remember();
        #endif
        /*try:*/ {
  
          /* "gensim/models/doc2vec_inner.pyx":493
   *     # release GIL & train on the document
   *     with nogil:
   *         for i in range(c.document_len):             # <<<<<<<<<<<<<<
   *             j = i - c.window + c.reduced_windows[i]
   *             if j < 0:
   */
          __pyx_t_13 = __pyx_v_c.document_len;
          __pyx_t_15 = __pyx_t_13;
          for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
            __pyx_v_i = __pyx_t_17;
  
            /* "gensim/models/doc2vec_inner.pyx":494
   *     with nogil:
   *         for i in range(c.document_len):
   *             j = i - c.window + c.reduced_windows[i]             # <<<<<<<<<<<<<<
   *             if j < 0:
   *                 j = 0
   */
            __pyx_v_j = ((__pyx_v_i - __pyx_v_c.window) + (__pyx_v_c.reduced_windows[__pyx_v_i]));
  
            /* "gensim/models/doc2vec_inner.pyx":495
   *         for i in range(c.document_len):
   *             j = i - c.window + c.reduced_windows[i]
   *             if j < 0:             # <<<<<<<<<<<<<<
   *                 j = 0
   *             k = i + c.window + 1 - c.reduced_windows[i]
   */
            __pyx_t_10 = ((__pyx_v_j < 0) != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":496
   *             j = i - c.window + c.reduced_windows[i]
   *             if j < 0:
   *                 j = 0             # <<<<<<<<<<<<<<
   *             k = i + c.window + 1 - c.reduced_windows[i]
   *             if k > c.document_len:
   */
              __pyx_v_j = 0;
  
              /* "gensim/models/doc2vec_inner.pyx":495
   *         for i in range(c.document_len):
   *             j = i - c.window + c.reduced_windows[i]
   *             if j < 0:             # <<<<<<<<<<<<<<
   *                 j = 0
   *             k = i + c.window + 1 - c.reduced_windows[i]
   */
            }
  
            /* "gensim/models/doc2vec_inner.pyx":497
   *             if j < 0:
   *                 j = 0
   *             k = i + c.window + 1 - c.reduced_windows[i]             # <<<<<<<<<<<<<<
   *             if k > c.document_len:
   *                 k = c.document_len
   */
            __pyx_v_k = (((__pyx_v_i + __pyx_v_c.window) + 1) - (__pyx_v_c.reduced_windows[__pyx_v_i]));
  
            /* "gensim/models/doc2vec_inner.pyx":498
   *                 j = 0
   *             k = i + c.window + 1 - c.reduced_windows[i]
   *             if k > c.document_len:             # <<<<<<<<<<<<<<
   *                 k = c.document_len
   * 
   */
            __pyx_t_10 = ((__pyx_v_k > __pyx_v_c.document_len) != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":499
   *             k = i + c.window + 1 - c.reduced_windows[i]
   *             if k > c.document_len:
   *                 k = c.document_len             # <<<<<<<<<<<<<<
   * 
   *             # compose l1 (in _neu1) & clear _work
   */
              __pyx_t_18 = __pyx_v_c.document_len;
              __pyx_v_k = __pyx_t_18;
  
              /* "gensim/models/doc2vec_inner.pyx":498
   *                 j = 0
   *             k = i + c.window + 1 - c.reduced_windows[i]
   *             if k > c.document_len:             # <<<<<<<<<<<<<<
   *                 k = c.document_len
   * 
   */
            }
  
            /* "gensim/models/doc2vec_inner.pyx":502
   * 
   *             # compose l1 (in _neu1) & clear _work
   *             memset(c.neu1, 0, c.layer1_size * cython.sizeof(REAL_t))             # <<<<<<<<<<<<<<
   *             count = <REAL_t>0.0
   *             for m in range(j, k):
   */
            (void)(memset(__pyx_v_c.neu1, 0, (__pyx_v_c.layer1_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
  
            /* "gensim/models/doc2vec_inner.pyx":503
   *             # compose l1 (in _neu1) & clear _work
   *             memset(c.neu1, 0, c.layer1_size * cython.sizeof(REAL_t))
   *             count = <REAL_t>0.0             # <<<<<<<<<<<<<<
   *             for m in range(j, k):
   *                 if m == i:
   */
            __pyx_v_count = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
  
            /* "gensim/models/doc2vec_inner.pyx":504
   *             memset(c.neu1, 0, c.layer1_size * cython.sizeof(REAL_t))
   *             count = <REAL_t>0.0
   *             for m in range(j, k):             # <<<<<<<<<<<<<<
   *                 if m == i:
   *                     continue
   */
            __pyx_t_18 = __pyx_v_k;
            __pyx_t_19 = __pyx_t_18;
            for (__pyx_t_20 = __pyx_v_j; __pyx_t_20 < __pyx_t_19; __pyx_t_20+=1) {
              __pyx_v_m = __pyx_t_20;
  
              /* "gensim/models/doc2vec_inner.pyx":505
   *             count = <REAL_t>0.0
   *             for m in range(j, k):
   *                 if m == i:             # <<<<<<<<<<<<<<
   *                     continue
   *                 else:
   */
              __pyx_t_10 = ((__pyx_v_m == __pyx_v_i) != 0);
              if (__pyx_t_10) {
  
                /* "gensim/models/doc2vec_inner.pyx":506
   *             for m in range(j, k):
   *                 if m == i:
   *                     continue             # <<<<<<<<<<<<<<
   *                 else:
   *                     count += ONEF
   */
                goto __pyx_L22_continue;
  
                /* "gensim/models/doc2vec_inner.pyx":505
   *             count = <REAL_t>0.0
   *             for m in range(j, k):
   *                 if m == i:             # <<<<<<<<<<<<<<
   *                     continue
   *                 else:
   */
              }
  
              /* "gensim/models/doc2vec_inner.pyx":508
   *                     continue
   *                 else:
   *                     count += ONEF             # <<<<<<<<<<<<<<
   *                     our_saxpy(&c.layer1_size, &ONEF, &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
   *             for m in range(c.doctag_len):
   */
              /*else*/ {
                __pyx_v_count = (__pyx_v_count + __pyx_v_6gensim_6models_13doc2vec_inner_ONEF);
  
                /* "gensim/models/doc2vec_inner.pyx":509
   *                 else:
   *                     count += ONEF
   *                     our_saxpy(&c.layer1_size, &ONEF, &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)             # <<<<<<<<<<<<<<
   *             for m in range(c.doctag_len):
   *                 count += ONEF
   */
                __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.layer1_size), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONEF), (&(__pyx_v_c.word_vectors[((__pyx_v_c.indexes[__pyx_v_m]) * __pyx_v_c.layer1_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_c.neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
              }
              __pyx_L22_continue:;
            }
  
            /* "gensim/models/doc2vec_inner.pyx":510
   *                     count += ONEF
   *                     our_saxpy(&c.layer1_size, &ONEF, &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
   *             for m in range(c.doctag_len):             # <<<<<<<<<<<<<<
   *                 count += ONEF
   *                 our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
   */
            __pyx_t_18 = __pyx_v_c.doctag_len;
            __pyx_t_19 = __pyx_t_18;
            for (__pyx_t_20 = 0; __pyx_t_20 < __pyx_t_19; __pyx_t_20+=1) {
              __pyx_v_m = __pyx_t_20;
  
              /* "gensim/models/doc2vec_inner.pyx":511
   *                     our_saxpy(&c.layer1_size, &ONEF, &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
   *             for m in range(c.doctag_len):
   *                 count += ONEF             # <<<<<<<<<<<<<<
   *                 our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
   *             if count > (<REAL_t>0.5):
   */
              __pyx_v_count = (__pyx_v_count + __pyx_v_6gensim_6models_13doc2vec_inner_ONEF);
  
              /* "gensim/models/doc2vec_inner.pyx":512
   *             for m in range(c.doctag_len):
   *                 count += ONEF
   *                 our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)             # <<<<<<<<<<<<<<
   *             if count > (<REAL_t>0.5):
   *                 inv_count = ONEF/count
   */
              __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.layer1_size), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONEF), (&(__pyx_v_c.doctag_vectors[((__pyx_v_c.doctag_indexes[__pyx_v_m]) * __pyx_v_c.layer1_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_c.neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
            }
  
            /* "gensim/models/doc2vec_inner.pyx":513
   *                 count += ONEF
   *                 our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
   *             if count > (<REAL_t>0.5):             # <<<<<<<<<<<<<<
   *                 inv_count = ONEF/count
   *             if c.cbow_mean:
   */
            __pyx_t_10 = ((__pyx_v_count > ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.5)) != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":514
   *                 our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
   *             if count > (<REAL_t>0.5):
   *                 inv_count = ONEF/count             # <<<<<<<<<<<<<<
   *             if c.cbow_mean:
   *                 sscal(&c.layer1_size, &inv_count, c.neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
   */
              __pyx_v_inv_count = (__pyx_v_6gensim_6models_13doc2vec_inner_ONEF / __pyx_v_count);
  
              /* "gensim/models/doc2vec_inner.pyx":513
   *                 count += ONEF
   *                 our_saxpy(&c.layer1_size, &ONEF, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE, c.neu1, &ONE)
   *             if count > (<REAL_t>0.5):             # <<<<<<<<<<<<<<
   *                 inv_count = ONEF/count
   *             if c.cbow_mean:
   */
            }
  
            /* "gensim/models/doc2vec_inner.pyx":515
   *             if count > (<REAL_t>0.5):
   *                 inv_count = ONEF/count
   *             if c.cbow_mean:             # <<<<<<<<<<<<<<
   *                 sscal(&c.layer1_size, &inv_count, c.neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
   *             memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t))  # work to accumulate l1 error
   */
            __pyx_t_10 = (__pyx_v_c.cbow_mean != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":516
   *                 inv_count = ONEF/count
   *             if c.cbow_mean:
   *                 sscal(&c.layer1_size, &inv_count, c.neu1, &ONE)  # (does this need BLAS-variants like saxpy?)             # <<<<<<<<<<<<<<
   *             memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t))  # work to accumulate l1 error
   *             if c.hs:
   */
              __pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_c.layer1_size), (&__pyx_v_inv_count), __pyx_v_c.neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
              /* "gensim/models/doc2vec_inner.pyx":515
   *             if count > (<REAL_t>0.5):
   *                 inv_count = ONEF/count
   *             if c.cbow_mean:             # <<<<<<<<<<<<<<
   *                 sscal(&c.layer1_size, &inv_count, c.neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
   *             memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t))  # work to accumulate l1 error
   */
            }
  
            /* "gensim/models/doc2vec_inner.pyx":517
   *             if c.cbow_mean:
   *                 sscal(&c.layer1_size, &inv_count, c.neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
   *             memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t))  # work to accumulate l1 error             # <<<<<<<<<<<<<<
   *             if c.hs:
   *                 fast_document_dm_hs(c.points[i], c.codes[i], c.codelens[i], c.neu1, c.syn1, c.alpha, c.work,
   */
            (void)(memset(__pyx_v_c.work, 0, (__pyx_v_c.layer1_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
  
            /* "gensim/models/doc2vec_inner.pyx":518
   *                 sscal(&c.layer1_size, &inv_count, c.neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
   *             memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t))  # work to accumulate l1 error
   *             if c.hs:             # <<<<<<<<<<<<<<
   *                 fast_document_dm_hs(c.points[i], c.codes[i], c.codelens[i], c.neu1, c.syn1, c.alpha, c.work,
   *                                     c.layer1_size, c.learn_hidden)
   */
            __pyx_t_10 = (__pyx_v_c.hs != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":519
   *             memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t))  # work to accumulate l1 error
   *             if c.hs:
   *                 fast_document_dm_hs(c.points[i], c.codes[i], c.codelens[i], c.neu1, c.syn1, c.alpha, c.work,             # <<<<<<<<<<<<<<
   *                                     c.layer1_size, c.learn_hidden)
   *             if c.negative:
   */
              __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_hs((__pyx_v_c.points[__pyx_v_i]), (__pyx_v_c.codes[__pyx_v_i]), (__pyx_v_c.codelens[__pyx_v_i]), __pyx_v_c.neu1, __pyx_v_c.syn1, __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.layer1_size, __pyx_v_c.learn_hidden);
  
              /* "gensim/models/doc2vec_inner.pyx":518
   *                 sscal(&c.layer1_size, &inv_count, c.neu1, &ONE)  # (does this need BLAS-variants like saxpy?)
   *             memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t))  # work to accumulate l1 error
   *             if c.hs:             # <<<<<<<<<<<<<<
   *                 fast_document_dm_hs(c.points[i], c.codes[i], c.codelens[i], c.neu1, c.syn1, c.alpha, c.work,
   *                                     c.layer1_size, c.learn_hidden)
   */
            }
  
            /* "gensim/models/doc2vec_inner.pyx":521
   *                 fast_document_dm_hs(c.points[i], c.codes[i], c.codelens[i], c.neu1, c.syn1, c.alpha, c.work,
   *                                     c.layer1_size, c.learn_hidden)
   *             if c.negative:             # <<<<<<<<<<<<<<
   *                 c.next_random = fast_document_dm_neg(c.negative, c.cum_table, c.cum_table_len, c.next_random,
   *                                                      c.neu1, c.syn1neg, c.indexes[i], c.alpha, c.work, c.layer1_size,
   */
            __pyx_t_10 = (__pyx_v_c.negative != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":522
   *                                     c.layer1_size, c.learn_hidden)
   *             if c.negative:
   *                 c.next_random = fast_document_dm_neg(c.negative, c.cum_table, c.cum_table_len, c.next_random,             # <<<<<<<<<<<<<<
   *                                                      c.neu1, c.syn1neg, c.indexes[i], c.alpha, c.work, c.layer1_size,
   *                                                      c.learn_hidden)
   */
              __pyx_v_c.next_random = __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_neg(__pyx_v_c.negative, __pyx_v_c.cum_table, __pyx_v_c.cum_table_len, __pyx_v_c.next_random, __pyx_v_c.neu1, __pyx_v_c.syn1neg, (__pyx_v_c.indexes[__pyx_v_i]), __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.layer1_size, __pyx_v_c.learn_hidden);
  
              /* "gensim/models/doc2vec_inner.pyx":521
   *                 fast_document_dm_hs(c.points[i], c.codes[i], c.codelens[i], c.neu1, c.syn1, c.alpha, c.work,
   *                                     c.layer1_size, c.learn_hidden)
   *             if c.negative:             # <<<<<<<<<<<<<<
   *                 c.next_random = fast_document_dm_neg(c.negative, c.cum_table, c.cum_table_len, c.next_random,
   *                                                      c.neu1, c.syn1neg, c.indexes[i], c.alpha, c.work, c.layer1_size,
   */
            }
  
            /* "gensim/models/doc2vec_inner.pyx":526
   *                                                      c.learn_hidden)
   * 
   *             if not c.cbow_mean:             # <<<<<<<<<<<<<<
   *                 sscal(&c.layer1_size, &inv_count, c.work, &ONE)  # (does this need BLAS-variants like saxpy?)
   *             # apply accumulated error in work
   */
            __pyx_t_10 = ((!(__pyx_v_c.cbow_mean != 0)) != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":527
   * 
   *             if not c.cbow_mean:
   *                 sscal(&c.layer1_size, &inv_count, c.work, &ONE)  # (does this need BLAS-variants like saxpy?)             # <<<<<<<<<<<<<<
   *             # apply accumulated error in work
   *             if c.learn_doctags:
   */
              __pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_c.layer1_size), (&__pyx_v_inv_count), __pyx_v_c.work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
  
              /* "gensim/models/doc2vec_inner.pyx":526
   *                                                      c.learn_hidden)
   * 
   *             if not c.cbow_mean:             # <<<<<<<<<<<<<<
   *                 sscal(&c.layer1_size, &inv_count, c.work, &ONE)  # (does this need BLAS-variants like saxpy?)
   *             # apply accumulated error in work
   */
            }
  
            /* "gensim/models/doc2vec_inner.pyx":529
   *                 sscal(&c.layer1_size, &inv_count, c.work, &ONE)  # (does this need BLAS-variants like saxpy?)
   *             # apply accumulated error in work
   *             if c.learn_doctags:             # <<<<<<<<<<<<<<
   *                 for m in range(c.doctag_len):
   *                     our_saxpy(&c.layer1_size, &c.doctag_locks[c.doctag_indexes[m]], c.work,
   */
            __pyx_t_10 = (__pyx_v_c.learn_doctags != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":530
   *             # apply accumulated error in work
   *             if c.learn_doctags:
   *                 for m in range(c.doctag_len):             # <<<<<<<<<<<<<<
   *                     our_saxpy(&c.layer1_size, &c.doctag_locks[c.doctag_indexes[m]], c.work,
   *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE)
   */
              __pyx_t_18 = __pyx_v_c.doctag_len;
              __pyx_t_19 = __pyx_t_18;
              for (__pyx_t_20 = 0; __pyx_t_20 < __pyx_t_19; __pyx_t_20+=1) {
                __pyx_v_m = __pyx_t_20;
  
                /* "gensim/models/doc2vec_inner.pyx":531
   *             if c.learn_doctags:
   *                 for m in range(c.doctag_len):
   *                     our_saxpy(&c.layer1_size, &c.doctag_locks[c.doctag_indexes[m]], c.work,             # <<<<<<<<<<<<<<
   *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE)
   *             if c.learn_words:
   */
                __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.layer1_size), (&(__pyx_v_c.doctag_locks[(__pyx_v_c.doctag_indexes[__pyx_v_m])])), __pyx_v_c.work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_c.doctag_vectors[((__pyx_v_c.doctag_indexes[__pyx_v_m]) * __pyx_v_c.layer1_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
              }
  
              /* "gensim/models/doc2vec_inner.pyx":529
   *                 sscal(&c.layer1_size, &inv_count, c.work, &ONE)  # (does this need BLAS-variants like saxpy?)
   *             # apply accumulated error in work
   *             if c.learn_doctags:             # <<<<<<<<<<<<<<
   *                 for m in range(c.doctag_len):
   *                     our_saxpy(&c.layer1_size, &c.doctag_locks[c.doctag_indexes[m]], c.work,
   */
            }
  
            /* "gensim/models/doc2vec_inner.pyx":533
   *                     our_saxpy(&c.layer1_size, &c.doctag_locks[c.doctag_indexes[m]], c.work,
   *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE)
   *             if c.learn_words:             # <<<<<<<<<<<<<<
   *                 for m in range(j, k):
   *                     if m == i:
   */
            __pyx_t_10 = (__pyx_v_c.learn_words != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":534
   *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE)
   *             if c.learn_words:
   *                 for m in range(j, k):             # <<<<<<<<<<<<<<
   *                     if m == i:
   *                         continue
   */
              __pyx_t_18 = __pyx_v_k;
              __pyx_t_19 = __pyx_t_18;
              for (__pyx_t_20 = __pyx_v_j; __pyx_t_20 < __pyx_t_19; __pyx_t_20+=1) {
                __pyx_v_m = __pyx_t_20;
  
                /* "gensim/models/doc2vec_inner.pyx":535
   *             if c.learn_words:
   *                 for m in range(j, k):
   *                     if m == i:             # <<<<<<<<<<<<<<
   *                         continue
   *                     else:
   */
                __pyx_t_10 = ((__pyx_v_m == __pyx_v_i) != 0);
                if (__pyx_t_10) {
  
                  /* "gensim/models/doc2vec_inner.pyx":536
   *                 for m in range(j, k):
   *                     if m == i:
   *                         continue             # <<<<<<<<<<<<<<
   *                     else:
   *                          our_saxpy(&c.layer1_size, &c.word_locks[c.indexes[m]], c.work, &ONE,
   */
                  goto __pyx_L36_continue;
  
                  /* "gensim/models/doc2vec_inner.pyx":535
   *             if c.learn_words:
   *                 for m in range(j, k):
   *                     if m == i:             # <<<<<<<<<<<<<<
   *                         continue
   *                     else:
   */
                }
  
                /* "gensim/models/doc2vec_inner.pyx":538
   *                         continue
   *                     else:
   *                          our_saxpy(&c.layer1_size, &c.word_locks[c.indexes[m]], c.work, &ONE,             # <<<<<<<<<<<<<<
   *                                    &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE)
   * 
   */
                /*else*/ {
  
                  /* "gensim/models/doc2vec_inner.pyx":539
   *                     else:
   *                          our_saxpy(&c.layer1_size, &c.word_locks[c.indexes[m]], c.work, &ONE,
   *                                    &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE)             # <<<<<<<<<<<<<<
   * 
   *     return result
   */
                  __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.layer1_size), (&(__pyx_v_c.word_locks[(__pyx_v_c.indexes[__pyx_v_m])])), __pyx_v_c.work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_c.word_vectors[((__pyx_v_c.indexes[__pyx_v_m]) * __pyx_v_c.layer1_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
                }
                __pyx_L36_continue:;
              }
  
              /* "gensim/models/doc2vec_inner.pyx":533
   *                     our_saxpy(&c.layer1_size, &c.doctag_locks[c.doctag_indexes[m]], c.work,
   *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.layer1_size], &ONE)
   *             if c.learn_words:             # <<<<<<<<<<<<<<
   *                 for m in range(j, k):
   *                     if m == i:
   */
            }
          }
        }
  
        /* "gensim/models/doc2vec_inner.pyx":492
   * 
   *     # release GIL & train on the document
   *     with nogil:             # <<<<<<<<<<<<<<
   *         for i in range(c.document_len):
   *             j = i - c.window + c.reduced_windows[i]
   */
        /*finally:*/ {
          /*normal exit:*/{
            #ifdef WITH_THREAD
            __Pyx_FastGIL_Forget();
            Py_BLOCK_THREADS
            #endif
            goto __pyx_L17;
          }
          __pyx_L17:;
        }
    }
  
    /* "gensim/models/doc2vec_inner.pyx":541
   *                                    &c.word_vectors[c.indexes[m] * c.layer1_size], &ONE)
   * 
   *     return result             # <<<<<<<<<<<<<<
   * 
   * 
   */
    __Pyx_XDECREF(__pyx_r);
    __pyx_t_9 = __Pyx_PyInt_From_long(__pyx_v_result); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 541, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_r = __pyx_t_9;
    __pyx_t_9 = 0;
    goto __pyx_L0;
  
    /* "gensim/models/doc2vec_inner.pyx":404
   * 
   * 
   * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
   *                       learn_doctags=True, learn_words=True, learn_hidden=True,
   *                       word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
  
    /* function exit code */
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_XDECREF(__pyx_t_6);
    __Pyx_XDECREF(__pyx_t_9);
    __Pyx_XDECREF(__pyx_t_11);
    __Pyx_XDECREF(__pyx_t_14);
    __Pyx_XDECREF(__pyx_t_16);
    __Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dm", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = NULL;
    __pyx_L0:;
    __Pyx_XDECREF(__pyx_v_vlookup);
    __Pyx_XDECREF(__pyx_v_token);
    __Pyx_XDECREF(__pyx_v_predict_word);
    __Pyx_XDECREF(__pyx_v_item);
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* "gensim/models/doc2vec_inner.pyx":544
   * 
   * 
   * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
   *                              learn_doctags=True, learn_words=True, learn_hidden=True,
   *                              word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
  
  /* Python wrapper */
  static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_5train_document_dm_concat(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
  static char __pyx_doc_6gensim_6models_13doc2vec_inner_4train_document_dm_concat[] = "train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, learn_doctags=True, learn_words=True, learn_hidden=True, word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None)\nUpdate distributed memory model (\"PV-DM\") by training on a single document, using a concatenation of the context\n     window word vectors (rather than a sum or average).\n     This might be slower since the input at each batch will be significantly larger.\n\n    Called internally from :meth:`~gensim.models.doc2vec.Doc2Vec.train` and\n    :meth:`~gensim.models.doc2vec.Doc2Vec.infer_vector`.\n\n    Parameters\n    ----------\n    model : :class:`~gensim.models.doc2vec.Doc2Vec`\n        The model to train.\n    doc_words : list of str\n        The input document as a list of words to be used for training. Each word will be looked up in\n        the model's vocabulary.\n    doctag_indexes : list of int\n        Indices into `doctag_vectors` used to obtain the tags of the document.\n    alpha : float, optional\n        Learning rate.\n    work : np.ndarray, optional\n        Private working memory for each worker.\n    neu1 : np.ndarray, optional\n        Private working memory for each worker.\n    learn_doctags : bool, optional\n        Whether the tag vectors should be updated.\n    learn_words : bool, optional\n        Word vectors will be updated exactly as per Word2Vec skip-gram training only if **both**\n        `learn_words` and `train_words` are set to True.\n    learn_hidden : bool, optional\n        Whether or not the weights of the hidden layer will be updated.\n    word_vectors : numpy.ndarray, optional\n        The vector representation for each word in the vocabulary. If None, these will be retrieved from the model.\n    word_locks : numpy.ndarray, optional\n        A learning lock factor for each weight in the hidden layer for words, value 0 completely blocks updates,\n        a value of 1 allows to update word-vectors.\n    doctag_v""ectors : numpy.ndarray, optional\n        Vector representations of the tags. If None, these will be retrieved from the model.\n    doctag_locks : numpy.ndarray, optional\n        The lock factors for each tag, same as `word_locks`, but for document-vectors.\n\n    Returns\n    -------\n    int\n        Number of words in the input document that were actually used for training.\n\n    ";
  static PyMethodDef __pyx_mdef_6gensim_6models_13doc2vec_inner_5train_document_dm_concat = {"train_document_dm_concat", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gensim_6models_13doc2vec_inner_5train_document_dm_concat, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_13doc2vec_inner_4train_document_dm_concat};
  static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_5train_document_dm_concat(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
    PyObject *__pyx_v_model = 0;
    PyObject *__pyx_v_doc_words = 0;
    PyObject *__pyx_v_doctag_indexes = 0;
    PyObject *__pyx_v_alpha = 0;
    PyObject *__pyx_v_work = 0;
    PyObject *__pyx_v_neu1 = 0;
    PyObject *__pyx_v_learn_doctags = 0;
    PyObject *__pyx_v_learn_words = 0;
    PyObject *__pyx_v_learn_hidden = 0;
    PyObject *__pyx_v_word_vectors = 0;
    PyObject *__pyx_v_word_locks = 0;
    PyObject *__pyx_v_doctag_vectors = 0;
    PyObject *__pyx_v_doctag_locks = 0;
    PyObject *__pyx_r = 0;
    __Pyx_RefNannyDeclarations
    __Pyx_RefNannySetupContext("train_document_dm_concat (wrapper)", 0);
    {
      static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_model,&__pyx_n_s_doc_words,&__pyx_n_s_doctag_indexes,&__pyx_n_s_alpha,&__pyx_n_s_work,&__pyx_n_s_neu1,&__pyx_n_s_learn_doctags,&__pyx_n_s_learn_words,&__pyx_n_s_learn_hidden,&__pyx_n_s_word_vectors,&__pyx_n_s_word_locks,&__pyx_n_s_doctag_vectors,&__pyx_n_s_doctag_locks,0};
      PyObject* values[13] = {0,0,0,0,0,0,0,0,0,0,0,0,0};
      values[4] = ((PyObject *)Py_None);
      values[5] = ((PyObject *)Py_None);
  
      /* "gensim/models/doc2vec_inner.pyx":545
   * 
   * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,
   *                              learn_doctags=True, learn_words=True, learn_hidden=True,             # <<<<<<<<<<<<<<
   *                              word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   *     """Update distributed memory model ("PV-DM") by training on a single document, using a concatenation of the context
   */
      values[6] = ((PyObject *)Py_True);
      values[7] = ((PyObject *)Py_True);
      values[8] = ((PyObject *)Py_True);
  
      /* "gensim/models/doc2vec_inner.pyx":546
   * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,
   *                              learn_doctags=True, learn_words=True, learn_hidden=True,
   *                              word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):             # <<<<<<<<<<<<<<
   *     """Update distributed memory model ("PV-DM") by training on a single document, using a concatenation of the context
   *      window word vectors (rather than a sum or average).
   */
      values[9] = ((PyObject *)Py_None);
      values[10] = ((PyObject *)Py_None);
      values[11] = ((PyObject *)Py_None);
      values[12] = ((PyObject *)Py_None);
      if (unlikely(__pyx_kwds)) {
        Py_ssize_t kw_args;
        const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
        switch (pos_args) {
          case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
          CYTHON_FALLTHROUGH;
          case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
          CYTHON_FALLTHROUGH;
          case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
          CYTHON_FALLTHROUGH;
          case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
          CYTHON_FALLTHROUGH;
          case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
          CYTHON_FALLTHROUGH;
          case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
          CYTHON_FALLTHROUGH;
          case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
          CYTHON_FALLTHROUGH;
          case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
          CYTHON_FALLTHROUGH;
          case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
          CYTHON_FALLTHROUGH;
          case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
          CYTHON_FALLTHROUGH;
          case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
          CYTHON_FALLTHROUGH;
          case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
          CYTHON_FALLTHROUGH;
          case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
          CYTHON_FALLTHROUGH;
          case  0: break;
          default: goto __pyx_L5_argtuple_error;
        }
        kw_args = PyDict_Size(__pyx_kwds);
        switch (pos_args) {
          case  0:
          if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_model)) != 0)) kw_args--;
          else goto __pyx_L5_argtuple_error;
          CYTHON_FALLTHROUGH;
          case  1:
          if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doc_words)) != 0)) kw_args--;
          else {
            __Pyx_RaiseArgtupleInvalid("train_document_dm_concat", 0, 4, 13, 1); __PYX_ERR(0, 544, __pyx_L3_error)
          }
          CYTHON_FALLTHROUGH;
          case  2:
          if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_indexes)) != 0)) kw_args--;
          else {
            __Pyx_RaiseArgtupleInvalid("train_document_dm_concat", 0, 4, 13, 2); __PYX_ERR(0, 544, __pyx_L3_error)
          }
          CYTHON_FALLTHROUGH;
          case  3:
          if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_alpha)) != 0)) kw_args--;
          else {
            __Pyx_RaiseArgtupleInvalid("train_document_dm_concat", 0, 4, 13, 3); __PYX_ERR(0, 544, __pyx_L3_error)
          }
          CYTHON_FALLTHROUGH;
          case  4:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_work);
            if (value) { values[4] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  5:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neu1);
            if (value) { values[5] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  6:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_doctags);
            if (value) { values[6] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  7:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_words);
            if (value) { values[7] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  8:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learn_hidden);
            if (value) { values[8] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case  9:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_word_vectors);
            if (value) { values[9] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case 10:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_word_locks);
            if (value) { values[10] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case 11:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_vectors);
            if (value) { values[11] = value; kw_args--; }
          }
          CYTHON_FALLTHROUGH;
          case 12:
          if (kw_args > 0) {
            PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_doctag_locks);
            if (value) { values[12] = value; kw_args--; }
          }
        }
        if (unlikely(kw_args > 0)) {
          if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "train_document_dm_concat") < 0)) __PYX_ERR(0, 544, __pyx_L3_error)
        }
      } else {
        switch (PyTuple_GET_SIZE(__pyx_args)) {
          case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
          CYTHON_FALLTHROUGH;
          case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
          CYTHON_FALLTHROUGH;
          case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
          CYTHON_FALLTHROUGH;
          case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
          CYTHON_FALLTHROUGH;
          case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
          CYTHON_FALLTHROUGH;
          case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
          CYTHON_FALLTHROUGH;
          case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
          CYTHON_FALLTHROUGH;
          case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
          CYTHON_FALLTHROUGH;
          case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
          CYTHON_FALLTHROUGH;
          case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
          values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
          values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
          values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
          break;
          default: goto __pyx_L5_argtuple_error;
        }
      }
      __pyx_v_model = values[0];
      __pyx_v_doc_words = values[1];
      __pyx_v_doctag_indexes = values[2];
      __pyx_v_alpha = values[3];
      __pyx_v_work = values[4];
      __pyx_v_neu1 = values[5];
      __pyx_v_learn_doctags = values[6];
      __pyx_v_learn_words = values[7];
      __pyx_v_learn_hidden = values[8];
      __pyx_v_word_vectors = values[9];
      __pyx_v_word_locks = values[10];
      __pyx_v_doctag_vectors = values[11];
      __pyx_v_doctag_locks = values[12];
    }
    goto __pyx_L4_argument_unpacking_done;
    __pyx_L5_argtuple_error:;
    __Pyx_RaiseArgtupleInvalid("train_document_dm_concat", 0, 4, 13, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 544, __pyx_L3_error)
    __pyx_L3_error:;
    __Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dm_concat", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __Pyx_RefNannyFinishContext();
    return NULL;
    __pyx_L4_argument_unpacking_done:;
    __pyx_r = __pyx_pf_6gensim_6models_13doc2vec_inner_4train_document_dm_concat(__pyx_self, __pyx_v_model, __pyx_v_doc_words, __pyx_v_doctag_indexes, __pyx_v_alpha, __pyx_v_work, __pyx_v_neu1, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, __pyx_v_word_vectors, __pyx_v_word_locks, __pyx_v_doctag_vectors, __pyx_v_doctag_locks);
  
    /* "gensim/models/doc2vec_inner.pyx":544
   * 
   * 
   * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
   *                              learn_doctags=True, learn_words=True, learn_hidden=True,
   *                              word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
  
    /* function exit code */
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_4train_document_dm_concat(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_word_locks, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctag_locks) {
    struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig __pyx_v_c;
    int __pyx_v_i;
    int __pyx_v_j;
    int __pyx_v_k;
    int __pyx_v_m;
    int __pyx_v_n;
    long __pyx_v_result;
    PyObject *__pyx_v_vlookup = NULL;
    PyObject *__pyx_v_token = NULL;
    PyObject *__pyx_v_predict_word = NULL;
    PyObject *__pyx_r = NULL;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config __pyx_t_2;
    Py_ssize_t __pyx_t_3;
    long __pyx_t_4;
    Py_ssize_t __pyx_t_5;
    int __pyx_t_6;
    PyObject *__pyx_t_7 = NULL;
    PyObject *(*__pyx_t_8)(PyObject *);
    PyObject *__pyx_t_9 = NULL;
    int __pyx_t_10;
    PyObject *__pyx_t_11 = NULL;
    __pyx_t_5numpy_uint32_t __pyx_t_12;
    int __pyx_t_13;
    int __pyx_t_14;
    int __pyx_t_15;
    int __pyx_t_16;
    int __pyx_t_17;
    int __pyx_t_18;
    int __pyx_t_19;
    long __pyx_t_20;
    __Pyx_RefNannySetupContext("train_document_dm_concat", 0);
  
    /* "gensim/models/doc2vec_inner.pyx":595
   * 
   *     cdef int i, j, k, m, n
   *     cdef long result = 0             # <<<<<<<<<<<<<<
   * 
   *     init_d2v_config(&c, model, alpha, learn_doctags, learn_words, learn_hidden, train_words=False, work=work, neu1=neu1,
   */
    __pyx_v_result = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":597
   *     cdef long result = 0
   * 
   *     init_d2v_config(&c, model, alpha, learn_doctags, learn_words, learn_hidden, train_words=False, work=work, neu1=neu1,             # <<<<<<<<<<<<<<
   *                     word_vectors=word_vectors, word_locks=word_locks, doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)
   * 
   */
    __pyx_t_2.__pyx_n = 7;
    __pyx_t_2.train_words = Py_False;
    __pyx_t_2.work = __pyx_v_work;
    __pyx_t_2.neu1 = __pyx_v_neu1;
    __pyx_t_2.word_vectors = __pyx_v_word_vectors;
    __pyx_t_2.word_locks = __pyx_v_word_locks;
    __pyx_t_2.doctag_vectors = __pyx_v_doctag_vectors;
    __pyx_t_2.doctag_locks = __pyx_v_doctag_locks;
    __pyx_t_1 = __pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config((&__pyx_v_c), __pyx_v_model, __pyx_v_alpha, __pyx_v_learn_doctags, __pyx_v_learn_words, __pyx_v_learn_hidden, &__pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 597, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":600
   *                     word_vectors=word_vectors, word_locks=word_locks, doctag_vectors=doctag_vectors, doctag_locks=doctag_locks)
   * 
   *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))             # <<<<<<<<<<<<<<
   * 
   *     if c.doctag_len != c.expected_doctag_len:
   */
    __pyx_t_3 = PyObject_Length(__pyx_v_doctag_indexes); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 600, __pyx_L1_error)
    __pyx_t_4 = 0x2710;
    if (((__pyx_t_3 < __pyx_t_4) != 0)) {
      __pyx_t_5 = __pyx_t_3;
    } else {
      __pyx_t_5 = __pyx_t_4;
    }
    __pyx_v_c.doctag_len = ((int)__pyx_t_5);
  
    /* "gensim/models/doc2vec_inner.pyx":602
   *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
   * 
   *     if c.doctag_len != c.expected_doctag_len:             # <<<<<<<<<<<<<<
   *         return 0  # skip doc without expected number of tags
   * 
   */
    __pyx_t_6 = ((__pyx_v_c.doctag_len != __pyx_v_c.expected_doctag_len) != 0);
    if (__pyx_t_6) {
  
      /* "gensim/models/doc2vec_inner.pyx":603
   * 
   *     if c.doctag_len != c.expected_doctag_len:
   *         return 0  # skip doc without expected number of tags             # <<<<<<<<<<<<<<
   * 
   *     vlookup = model.wv.vocab
   */
      __Pyx_XDECREF(__pyx_r);
      __Pyx_INCREF(__pyx_int_0);
      __pyx_r = __pyx_int_0;
      goto __pyx_L0;
  
      /* "gensim/models/doc2vec_inner.pyx":602
   *     c.doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
   * 
   *     if c.doctag_len != c.expected_doctag_len:             # <<<<<<<<<<<<<<
   *         return 0  # skip doc without expected number of tags
   * 
   */
    }
  
    /* "gensim/models/doc2vec_inner.pyx":605
   *         return 0  # skip doc without expected number of tags
   * 
   *     vlookup = model.wv.vocab             # <<<<<<<<<<<<<<
   *     i = 0
   *     for token in doc_words:
   */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_wv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 605, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_vocab); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 605, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_v_vlookup = __pyx_t_7;
    __pyx_t_7 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":606
   * 
   *     vlookup = model.wv.vocab
   *     i = 0             # <<<<<<<<<<<<<<
   *     for token in doc_words:
   *         predict_word = vlookup[token] if token in vlookup else None
   */
    __pyx_v_i = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":607
   *     vlookup = model.wv.vocab
   *     i = 0
   *     for token in doc_words:             # <<<<<<<<<<<<<<
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word
   */
    if (likely(PyList_CheckExact(__pyx_v_doc_words)) || PyTuple_CheckExact(__pyx_v_doc_words)) {
      __pyx_t_7 = __pyx_v_doc_words; __Pyx_INCREF(__pyx_t_7); __pyx_t_5 = 0;
      __pyx_t_8 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_7 = PyObject_GetIter(__pyx_v_doc_words); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 607, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_8 = Py_TYPE(__pyx_t_7)->tp_iternext; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 607, __pyx_L1_error)
    }
    for (;;) {
      if (likely(!__pyx_t_8)) {
        if (likely(PyList_CheckExact(__pyx_t_7))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_7)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_1 = PyList_GET_ITEM(__pyx_t_7, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 607, __pyx_L1_error)
          #else
          __pyx_t_1 = PySequence_ITEM(__pyx_t_7, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 607, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_1);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_7)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_7, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 607, __pyx_L1_error)
          #else
          __pyx_t_1 = PySequence_ITEM(__pyx_t_7, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 607, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_1);
          #endif
        }
      } else {
        __pyx_t_1 = __pyx_t_8(__pyx_t_7);
        if (unlikely(!__pyx_t_1)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 607, __pyx_L1_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_1);
      }
      __Pyx_XDECREF_SET(__pyx_v_token, __pyx_t_1);
      __pyx_t_1 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":608
   *     i = 0
   *     for token in doc_words:
   *         predict_word = vlookup[token] if token in vlookup else None             # <<<<<<<<<<<<<<
   *         if predict_word is None:  # shrink document to leave out word
   *             continue  # leaving i unchanged
   */
      __pyx_t_6 = (__Pyx_PySequence_ContainsTF(__pyx_v_token, __pyx_v_vlookup, Py_EQ)); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(0, 608, __pyx_L1_error)
      if ((__pyx_t_6 != 0)) {
        __pyx_t_9 = __Pyx_PyObject_GetItem(__pyx_v_vlookup, __pyx_v_token); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 608, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_9);
        __pyx_t_1 = __pyx_t_9;
        __pyx_t_9 = 0;
      } else {
        __Pyx_INCREF(Py_None);
        __pyx_t_1 = Py_None;
      }
      __Pyx_XDECREF_SET(__pyx_v_predict_word, __pyx_t_1);
      __pyx_t_1 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":609
   *     for token in doc_words:
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word             # <<<<<<<<<<<<<<
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   */
      __pyx_t_6 = (__pyx_v_predict_word == Py_None);
      __pyx_t_10 = (__pyx_t_6 != 0);
      if (__pyx_t_10) {
  
        /* "gensim/models/doc2vec_inner.pyx":610
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word
   *             continue  # leaving i unchanged             # <<<<<<<<<<<<<<
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   *             continue
   */
        goto __pyx_L4_continue;
  
        /* "gensim/models/doc2vec_inner.pyx":609
   *     for token in doc_words:
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word             # <<<<<<<<<<<<<<
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":611
   *         if predict_word is None:  # shrink document to leave out word
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):             # <<<<<<<<<<<<<<
   *             continue
   *         c.indexes[i] = predict_word.index
   */
      __pyx_t_6 = (__pyx_v_c.sample != 0);
      if (__pyx_t_6) {
      } else {
        __pyx_t_10 = __pyx_t_6;
        goto __pyx_L8_bool_binop_done;
      }
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_sample_int); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 611, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_9 = __Pyx_PyInt_From_unsigned_PY_LONG_LONG(__pyx_f_6gensim_6models_14word2vec_inner_random_int32((&__pyx_v_c.next_random))); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 611, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __pyx_t_11 = PyObject_RichCompare(__pyx_t_1, __pyx_t_9, Py_LT); __Pyx_XGOTREF(__pyx_t_11); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 611, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_11); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(0, 611, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
      __pyx_t_10 = __pyx_t_6;
      __pyx_L8_bool_binop_done:;
      if (__pyx_t_10) {
  
        /* "gensim/models/doc2vec_inner.pyx":612
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   *             continue             # <<<<<<<<<<<<<<
   *         c.indexes[i] = predict_word.index
   *         if c.hs:
   */
        goto __pyx_L4_continue;
  
        /* "gensim/models/doc2vec_inner.pyx":611
   *         if predict_word is None:  # shrink document to leave out word
   *             continue  # leaving i unchanged
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):             # <<<<<<<<<<<<<<
   *             continue
   *         c.indexes[i] = predict_word.index
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":613
   *         if c.sample and predict_word.sample_int < random_int32(&c.next_random):
   *             continue
   *         c.indexes[i] = predict_word.index             # <<<<<<<<<<<<<<
   *         if c.hs:
   *             c.codelens[i] = <int>len(predict_word.code)
   */
      __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_index); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 613, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __pyx_t_12 = __Pyx_PyInt_As_npy_uint32(__pyx_t_11); if (unlikely((__pyx_t_12 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 613, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
      (__pyx_v_c.indexes[__pyx_v_i]) = __pyx_t_12;
  
      /* "gensim/models/doc2vec_inner.pyx":614
   *             continue
   *         c.indexes[i] = predict_word.index
   *         if c.hs:             # <<<<<<<<<<<<<<
   *             c.codelens[i] = <int>len(predict_word.code)
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   */
      __pyx_t_10 = (__pyx_v_c.hs != 0);
      if (__pyx_t_10) {
  
        /* "gensim/models/doc2vec_inner.pyx":615
   *         c.indexes[i] = predict_word.index
   *         if c.hs:
   *             c.codelens[i] = <int>len(predict_word.code)             # <<<<<<<<<<<<<<
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
   */
        __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_code); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 615, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_11);
        __pyx_t_3 = PyObject_Length(__pyx_t_11); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 615, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
        (__pyx_v_c.codelens[__pyx_v_i]) = ((int)__pyx_t_3);
  
        /* "gensim/models/doc2vec_inner.pyx":616
   *         if c.hs:
   *             c.codelens[i] = <int>len(predict_word.code)
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)             # <<<<<<<<<<<<<<
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
   *         result += 1
   */
        __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_code); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 616, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_11);
        if (!(likely(((__pyx_t_11) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_11, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 616, __pyx_L1_error)
        (__pyx_v_c.codes[__pyx_v_i]) = ((__pyx_t_5numpy_uint8_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_11)));
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  
        /* "gensim/models/doc2vec_inner.pyx":617
   *             c.codelens[i] = <int>len(predict_word.code)
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)             # <<<<<<<<<<<<<<
   *         result += 1
   *         i += 1
   */
        __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_point); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 617, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_11);
        if (!(likely(((__pyx_t_11) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_11, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 617, __pyx_L1_error)
        (__pyx_v_c.points[__pyx_v_i]) = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_11)));
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  
        /* "gensim/models/doc2vec_inner.pyx":614
   *             continue
   *         c.indexes[i] = predict_word.index
   *         if c.hs:             # <<<<<<<<<<<<<<
   *             c.codelens[i] = <int>len(predict_word.code)
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":618
   *             c.codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
   *         result += 1             # <<<<<<<<<<<<<<
   *         i += 1
   *         if i == MAX_DOCUMENT_LEN:
   */
      __pyx_v_result = (__pyx_v_result + 1);
  
      /* "gensim/models/doc2vec_inner.pyx":619
   *             c.points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
   *         result += 1
   *         i += 1             # <<<<<<<<<<<<<<
   *         if i == MAX_DOCUMENT_LEN:
   *             break  # TODO: log warning, tally overflow?
   */
      __pyx_v_i = (__pyx_v_i + 1);
  
      /* "gensim/models/doc2vec_inner.pyx":620
   *         result += 1
   *         i += 1
   *         if i == MAX_DOCUMENT_LEN:             # <<<<<<<<<<<<<<
   *             break  # TODO: log warning, tally overflow?
   *     c.document_len = i
   */
      __pyx_t_10 = ((__pyx_v_i == 0x2710) != 0);
      if (__pyx_t_10) {
  
        /* "gensim/models/doc2vec_inner.pyx":621
   *         i += 1
   *         if i == MAX_DOCUMENT_LEN:
   *             break  # TODO: log warning, tally overflow?             # <<<<<<<<<<<<<<
   *     c.document_len = i
   * 
   */
        goto __pyx_L5_break;
  
        /* "gensim/models/doc2vec_inner.pyx":620
   *         result += 1
   *         i += 1
   *         if i == MAX_DOCUMENT_LEN:             # <<<<<<<<<<<<<<
   *             break  # TODO: log warning, tally overflow?
   *     c.document_len = i
   */
      }
  
      /* "gensim/models/doc2vec_inner.pyx":607
   *     vlookup = model.wv.vocab
   *     i = 0
   *     for token in doc_words:             # <<<<<<<<<<<<<<
   *         predict_word = vlookup[token] if token in vlookup else None
   *         if predict_word is None:  # shrink document to leave out word
   */
      __pyx_L4_continue:;
    }
    __pyx_L5_break:;
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":622
   *         if i == MAX_DOCUMENT_LEN:
   *             break  # TODO: log warning, tally overflow?
   *     c.document_len = i             # <<<<<<<<<<<<<<
   * 
   *     for i in range(c.doctag_len):
   */
    __pyx_v_c.document_len = __pyx_v_i;
  
    /* "gensim/models/doc2vec_inner.pyx":624
   *     c.document_len = i
   * 
   *     for i in range(c.doctag_len):             # <<<<<<<<<<<<<<
   *         c.doctag_indexes[i] = doctag_indexes[i]
   *         result += 1
   */
    __pyx_t_13 = __pyx_v_c.doctag_len;
    __pyx_t_14 = __pyx_t_13;
    for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_14; __pyx_t_15+=1) {
      __pyx_v_i = __pyx_t_15;
  
      /* "gensim/models/doc2vec_inner.pyx":625
   * 
   *     for i in range(c.doctag_len):
   *         c.doctag_indexes[i] = doctag_indexes[i]             # <<<<<<<<<<<<<<
   *         result += 1
   * 
   */
      __pyx_t_7 = __Pyx_GetItemInt(__pyx_v_doctag_indexes, __pyx_v_i, int, 1, __Pyx_PyInt_From_int, 0, 0, 0); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 625, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_12 = __Pyx_PyInt_As_npy_uint32(__pyx_t_7); if (unlikely((__pyx_t_12 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 625, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      (__pyx_v_c.doctag_indexes[__pyx_v_i]) = __pyx_t_12;
  
      /* "gensim/models/doc2vec_inner.pyx":626
   *     for i in range(c.doctag_len):
   *         c.doctag_indexes[i] = doctag_indexes[i]
   *         result += 1             # <<<<<<<<<<<<<<
   * 
   *     # release GIL & train on the document
   */
      __pyx_v_result = (__pyx_v_result + 1);
    }
  
    /* "gensim/models/doc2vec_inner.pyx":629
   * 
   *     # release GIL & train on the document
   *     with nogil:             # <<<<<<<<<<<<<<
   *         for i in range(c.document_len):
   *             j = i - c.window      # negative OK: will pad with null word
   */
    {
        #ifdef WITH_THREAD
        PyThreadState *_save;
        Py_UNBLOCK_THREADS
        __Pyx_FastGIL_Remember();
        #endif
        /*try:*/ {
  
          /* "gensim/models/doc2vec_inner.pyx":630
   *     # release GIL & train on the document
   *     with nogil:
   *         for i in range(c.document_len):             # <<<<<<<<<<<<<<
   *             j = i - c.window      # negative OK: will pad with null word
   *             k = i + c.window + 1  # past document end OK: will pad with null word
   */
          __pyx_t_13 = __pyx_v_c.document_len;
          __pyx_t_14 = __pyx_t_13;
          for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_14; __pyx_t_15+=1) {
            __pyx_v_i = __pyx_t_15;
  
            /* "gensim/models/doc2vec_inner.pyx":631
   *     with nogil:
   *         for i in range(c.document_len):
   *             j = i - c.window      # negative OK: will pad with null word             # <<<<<<<<<<<<<<
   *             k = i + c.window + 1  # past document end OK: will pad with null word
   * 
   */
            __pyx_v_j = (__pyx_v_i - __pyx_v_c.window);
  
            /* "gensim/models/doc2vec_inner.pyx":632
   *         for i in range(c.document_len):
   *             j = i - c.window      # negative OK: will pad with null word
   *             k = i + c.window + 1  # past document end OK: will pad with null word             # <<<<<<<<<<<<<<
   * 
   *             # compose l1 & clear work
   */
            __pyx_v_k = ((__pyx_v_i + __pyx_v_c.window) + 1);
  
            /* "gensim/models/doc2vec_inner.pyx":635
   * 
   *             # compose l1 & clear work
   *             for m in range(c.doctag_len):             # <<<<<<<<<<<<<<
   *                 # doc vector(s)
   *                 memcpy(&c.neu1[m * c.vector_size], &c.doctag_vectors[c.doctag_indexes[m] * c.vector_size],
   */
            __pyx_t_16 = __pyx_v_c.doctag_len;
            __pyx_t_17 = __pyx_t_16;
            for (__pyx_t_18 = 0; __pyx_t_18 < __pyx_t_17; __pyx_t_18+=1) {
              __pyx_v_m = __pyx_t_18;
  
              /* "gensim/models/doc2vec_inner.pyx":637
   *             for m in range(c.doctag_len):
   *                 # doc vector(s)
   *                 memcpy(&c.neu1[m * c.vector_size], &c.doctag_vectors[c.doctag_indexes[m] * c.vector_size],             # <<<<<<<<<<<<<<
   *                        c.vector_size * cython.sizeof(REAL_t))
   *             n = 0
   */
              (void)(memcpy((&(__pyx_v_c.neu1[(__pyx_v_m * __pyx_v_c.vector_size)])), (&(__pyx_v_c.doctag_vectors[((__pyx_v_c.doctag_indexes[__pyx_v_m]) * __pyx_v_c.vector_size)])), (__pyx_v_c.vector_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
            }
  
            /* "gensim/models/doc2vec_inner.pyx":639
   *                 memcpy(&c.neu1[m * c.vector_size], &c.doctag_vectors[c.doctag_indexes[m] * c.vector_size],
   *                        c.vector_size * cython.sizeof(REAL_t))
   *             n = 0             # <<<<<<<<<<<<<<
   *             for m in range(j, k):
   *                 # word vectors in window
   */
            __pyx_v_n = 0;
  
            /* "gensim/models/doc2vec_inner.pyx":640
   *                        c.vector_size * cython.sizeof(REAL_t))
   *             n = 0
   *             for m in range(j, k):             # <<<<<<<<<<<<<<
   *                 # word vectors in window
   *                 if m == i:
   */
            __pyx_t_16 = __pyx_v_k;
            __pyx_t_17 = __pyx_t_16;
            for (__pyx_t_18 = __pyx_v_j; __pyx_t_18 < __pyx_t_17; __pyx_t_18+=1) {
              __pyx_v_m = __pyx_t_18;
  
              /* "gensim/models/doc2vec_inner.pyx":642
   *             for m in range(j, k):
   *                 # word vectors in window
   *                 if m == i:             # <<<<<<<<<<<<<<
   *                     continue
   *                 if m < 0 or m >= c.document_len:
   */
              __pyx_t_10 = ((__pyx_v_m == __pyx_v_i) != 0);
              if (__pyx_t_10) {
  
                /* "gensim/models/doc2vec_inner.pyx":643
   *                 # word vectors in window
   *                 if m == i:
   *                     continue             # <<<<<<<<<<<<<<
   *                 if m < 0 or m >= c.document_len:
   *                     c.window_indexes[n] = c.null_word_index
   */
                goto __pyx_L21_continue;
  
                /* "gensim/models/doc2vec_inner.pyx":642
   *             for m in range(j, k):
   *                 # word vectors in window
   *                 if m == i:             # <<<<<<<<<<<<<<
   *                     continue
   *                 if m < 0 or m >= c.document_len:
   */
              }
  
              /* "gensim/models/doc2vec_inner.pyx":644
   *                 if m == i:
   *                     continue
   *                 if m < 0 or m >= c.document_len:             # <<<<<<<<<<<<<<
   *                     c.window_indexes[n] = c.null_word_index
   *                 else:
   */
              __pyx_t_6 = ((__pyx_v_m < 0) != 0);
              if (!__pyx_t_6) {
              } else {
                __pyx_t_10 = __pyx_t_6;
                goto __pyx_L25_bool_binop_done;
              }
              __pyx_t_6 = ((__pyx_v_m >= __pyx_v_c.document_len) != 0);
              __pyx_t_10 = __pyx_t_6;
              __pyx_L25_bool_binop_done:;
              if (__pyx_t_10) {
  
                /* "gensim/models/doc2vec_inner.pyx":645
   *                     continue
   *                 if m < 0 or m >= c.document_len:
   *                     c.window_indexes[n] = c.null_word_index             # <<<<<<<<<<<<<<
   *                 else:
   *                     c.window_indexes[n] = c.indexes[m]
   */
                __pyx_t_19 = __pyx_v_c.null_word_index;
                (__pyx_v_c.window_indexes[__pyx_v_n]) = __pyx_t_19;
  
                /* "gensim/models/doc2vec_inner.pyx":644
   *                 if m == i:
   *                     continue
   *                 if m < 0 or m >= c.document_len:             # <<<<<<<<<<<<<<
   *                     c.window_indexes[n] = c.null_word_index
   *                 else:
   */
                goto __pyx_L24;
              }
  
              /* "gensim/models/doc2vec_inner.pyx":647
   *                     c.window_indexes[n] = c.null_word_index
   *                 else:
   *                     c.window_indexes[n] = c.indexes[m]             # <<<<<<<<<<<<<<
   *                 n += 1
   *             for m in range(2 * c.window):
   */
              /*else*/ {
                (__pyx_v_c.window_indexes[__pyx_v_n]) = (__pyx_v_c.indexes[__pyx_v_m]);
              }
              __pyx_L24:;
  
              /* "gensim/models/doc2vec_inner.pyx":648
   *                 else:
   *                     c.window_indexes[n] = c.indexes[m]
   *                 n += 1             # <<<<<<<<<<<<<<
   *             for m in range(2 * c.window):
   *                 memcpy(&c.neu1[(c.doctag_len + m) * c.vector_size], &c.word_vectors[c.window_indexes[m] * c.vector_size],
   */
              __pyx_v_n = (__pyx_v_n + 1);
              __pyx_L21_continue:;
            }
  
            /* "gensim/models/doc2vec_inner.pyx":649
   *                     c.window_indexes[n] = c.indexes[m]
   *                 n += 1
   *             for m in range(2 * c.window):             # <<<<<<<<<<<<<<
   *                 memcpy(&c.neu1[(c.doctag_len + m) * c.vector_size], &c.word_vectors[c.window_indexes[m] * c.vector_size],
   *                        c.vector_size * cython.sizeof(REAL_t))
   */
            __pyx_t_4 = (2 * __pyx_v_c.window);
            __pyx_t_20 = __pyx_t_4;
            for (__pyx_t_16 = 0; __pyx_t_16 < __pyx_t_20; __pyx_t_16+=1) {
              __pyx_v_m = __pyx_t_16;
  
              /* "gensim/models/doc2vec_inner.pyx":650
   *                 n += 1
   *             for m in range(2 * c.window):
   *                 memcpy(&c.neu1[(c.doctag_len + m) * c.vector_size], &c.word_vectors[c.window_indexes[m] * c.vector_size],             # <<<<<<<<<<<<<<
   *                        c.vector_size * cython.sizeof(REAL_t))
   *             memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t))  # work to accumulate l1 error
   */
              (void)(memcpy((&(__pyx_v_c.neu1[((__pyx_v_c.doctag_len + __pyx_v_m) * __pyx_v_c.vector_size)])), (&(__pyx_v_c.word_vectors[((__pyx_v_c.window_indexes[__pyx_v_m]) * __pyx_v_c.vector_size)])), (__pyx_v_c.vector_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
            }
  
            /* "gensim/models/doc2vec_inner.pyx":652
   *                 memcpy(&c.neu1[(c.doctag_len + m) * c.vector_size], &c.word_vectors[c.window_indexes[m] * c.vector_size],
   *                        c.vector_size * cython.sizeof(REAL_t))
   *             memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t))  # work to accumulate l1 error             # <<<<<<<<<<<<<<
   * 
   *             if c.hs:
   */
            (void)(memset(__pyx_v_c.work, 0, (__pyx_v_c.layer1_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
  
            /* "gensim/models/doc2vec_inner.pyx":654
   *             memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t))  # work to accumulate l1 error
   * 
   *             if c.hs:             # <<<<<<<<<<<<<<
   *                 fast_document_dmc_hs(c.points[i], c.codes[i], c.codelens[i],
   *                                      c.neu1, c.syn1, c.alpha, c.work,
   */
            __pyx_t_10 = (__pyx_v_c.hs != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":655
   * 
   *             if c.hs:
   *                 fast_document_dmc_hs(c.points[i], c.codes[i], c.codelens[i],             # <<<<<<<<<<<<<<
   *                                      c.neu1, c.syn1, c.alpha, c.work,
   *                                      c.layer1_size, c.vector_size, c.learn_hidden)
   */
              __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_hs((__pyx_v_c.points[__pyx_v_i]), (__pyx_v_c.codes[__pyx_v_i]), (__pyx_v_c.codelens[__pyx_v_i]), __pyx_v_c.neu1, __pyx_v_c.syn1, __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.layer1_size, __pyx_v_c.vector_size, __pyx_v_c.learn_hidden);
  
              /* "gensim/models/doc2vec_inner.pyx":654
   *             memset(c.work, 0, c.layer1_size * cython.sizeof(REAL_t))  # work to accumulate l1 error
   * 
   *             if c.hs:             # <<<<<<<<<<<<<<
   *                 fast_document_dmc_hs(c.points[i], c.codes[i], c.codelens[i],
   *                                      c.neu1, c.syn1, c.alpha, c.work,
   */
            }
  
            /* "gensim/models/doc2vec_inner.pyx":658
   *                                      c.neu1, c.syn1, c.alpha, c.work,
   *                                      c.layer1_size, c.vector_size, c.learn_hidden)
   *             if c.negative:             # <<<<<<<<<<<<<<
   *                 c.next_random = fast_document_dmc_neg(c.negative, c.cum_table, c.cum_table_len, c.next_random,
   *                                                       c.neu1, c.syn1neg, c.indexes[i], c.alpha, c.work,
   */
            __pyx_t_10 = (__pyx_v_c.negative != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":659
   *                                      c.layer1_size, c.vector_size, c.learn_hidden)
   *             if c.negative:
   *                 c.next_random = fast_document_dmc_neg(c.negative, c.cum_table, c.cum_table_len, c.next_random,             # <<<<<<<<<<<<<<
   *                                                       c.neu1, c.syn1neg, c.indexes[i], c.alpha, c.work,
   *                                                       c.layer1_size, c.vector_size, c.learn_hidden)
   */
              __pyx_v_c.next_random = __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_neg(__pyx_v_c.negative, __pyx_v_c.cum_table, __pyx_v_c.cum_table_len, __pyx_v_c.next_random, __pyx_v_c.neu1, __pyx_v_c.syn1neg, (__pyx_v_c.indexes[__pyx_v_i]), __pyx_v_c.alpha, __pyx_v_c.work, __pyx_v_c.layer1_size, __pyx_v_c.vector_size, __pyx_v_c.learn_hidden);
  
              /* "gensim/models/doc2vec_inner.pyx":658
   *                                      c.neu1, c.syn1, c.alpha, c.work,
   *                                      c.layer1_size, c.vector_size, c.learn_hidden)
   *             if c.negative:             # <<<<<<<<<<<<<<
   *                 c.next_random = fast_document_dmc_neg(c.negative, c.cum_table, c.cum_table_len, c.next_random,
   *                                                       c.neu1, c.syn1neg, c.indexes[i], c.alpha, c.work,
   */
            }
  
            /* "gensim/models/doc2vec_inner.pyx":663
   *                                                       c.layer1_size, c.vector_size, c.learn_hidden)
   * 
   *             if c.learn_doctags:             # <<<<<<<<<<<<<<
   *                 for m in range(c.doctag_len):
   *                     our_saxpy(&c.vector_size, &c.doctag_locks[c.doctag_indexes[m]], &c.work[m * c.vector_size],
   */
            __pyx_t_10 = (__pyx_v_c.learn_doctags != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":664
   * 
   *             if c.learn_doctags:
   *                 for m in range(c.doctag_len):             # <<<<<<<<<<<<<<
   *                     our_saxpy(&c.vector_size, &c.doctag_locks[c.doctag_indexes[m]], &c.work[m * c.vector_size],
   *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.vector_size], &ONE)
   */
              __pyx_t_16 = __pyx_v_c.doctag_len;
              __pyx_t_17 = __pyx_t_16;
              for (__pyx_t_18 = 0; __pyx_t_18 < __pyx_t_17; __pyx_t_18+=1) {
                __pyx_v_m = __pyx_t_18;
  
                /* "gensim/models/doc2vec_inner.pyx":665
   *             if c.learn_doctags:
   *                 for m in range(c.doctag_len):
   *                     our_saxpy(&c.vector_size, &c.doctag_locks[c.doctag_indexes[m]], &c.work[m * c.vector_size],             # <<<<<<<<<<<<<<
   *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.vector_size], &ONE)
   *             if c.learn_words:
   */
                __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.vector_size), (&(__pyx_v_c.doctag_locks[(__pyx_v_c.doctag_indexes[__pyx_v_m])])), (&(__pyx_v_c.work[(__pyx_v_m * __pyx_v_c.vector_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_c.doctag_vectors[((__pyx_v_c.doctag_indexes[__pyx_v_m]) * __pyx_v_c.vector_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
              }
  
              /* "gensim/models/doc2vec_inner.pyx":663
   *                                                       c.layer1_size, c.vector_size, c.learn_hidden)
   * 
   *             if c.learn_doctags:             # <<<<<<<<<<<<<<
   *                 for m in range(c.doctag_len):
   *                     our_saxpy(&c.vector_size, &c.doctag_locks[c.doctag_indexes[m]], &c.work[m * c.vector_size],
   */
            }
  
            /* "gensim/models/doc2vec_inner.pyx":667
   *                     our_saxpy(&c.vector_size, &c.doctag_locks[c.doctag_indexes[m]], &c.work[m * c.vector_size],
   *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.vector_size], &ONE)
   *             if c.learn_words:             # <<<<<<<<<<<<<<
   *                 for m in range(2 * c.window):
   *                     our_saxpy(&c.vector_size, &c.word_locks[c.window_indexes[m]], &c.work[(c.doctag_len + m) * c.vector_size],
   */
            __pyx_t_10 = (__pyx_v_c.learn_words != 0);
            if (__pyx_t_10) {
  
              /* "gensim/models/doc2vec_inner.pyx":668
   *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.vector_size], &ONE)
   *             if c.learn_words:
   *                 for m in range(2 * c.window):             # <<<<<<<<<<<<<<
   *                     our_saxpy(&c.vector_size, &c.word_locks[c.window_indexes[m]], &c.work[(c.doctag_len + m) * c.vector_size],
   *                               &ONE, &c.word_vectors[c.window_indexes[m] * c.vector_size], &ONE)
   */
              __pyx_t_4 = (2 * __pyx_v_c.window);
              __pyx_t_20 = __pyx_t_4;
              for (__pyx_t_16 = 0; __pyx_t_16 < __pyx_t_20; __pyx_t_16+=1) {
                __pyx_v_m = __pyx_t_16;
  
                /* "gensim/models/doc2vec_inner.pyx":669
   *             if c.learn_words:
   *                 for m in range(2 * c.window):
   *                     our_saxpy(&c.vector_size, &c.word_locks[c.window_indexes[m]], &c.work[(c.doctag_len + m) * c.vector_size],             # <<<<<<<<<<<<<<
   *                               &ONE, &c.word_vectors[c.window_indexes[m] * c.vector_size], &ONE)
   * 
   */
                __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_c.vector_size), (&(__pyx_v_c.word_locks[(__pyx_v_c.window_indexes[__pyx_v_m])])), (&(__pyx_v_c.work[((__pyx_v_c.doctag_len + __pyx_v_m) * __pyx_v_c.vector_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_c.word_vectors[((__pyx_v_c.window_indexes[__pyx_v_m]) * __pyx_v_c.vector_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
              }
  
              /* "gensim/models/doc2vec_inner.pyx":667
   *                     our_saxpy(&c.vector_size, &c.doctag_locks[c.doctag_indexes[m]], &c.work[m * c.vector_size],
   *                               &ONE, &c.doctag_vectors[c.doctag_indexes[m] * c.vector_size], &ONE)
   *             if c.learn_words:             # <<<<<<<<<<<<<<
   *                 for m in range(2 * c.window):
   *                     our_saxpy(&c.vector_size, &c.word_locks[c.window_indexes[m]], &c.work[(c.doctag_len + m) * c.vector_size],
   */
            }
          }
        }
  
        /* "gensim/models/doc2vec_inner.pyx":629
   * 
   *     # release GIL & train on the document
   *     with nogil:             # <<<<<<<<<<<<<<
   *         for i in range(c.document_len):
   *             j = i - c.window      # negative OK: will pad with null word
   */
        /*finally:*/ {
          /*normal exit:*/{
            #ifdef WITH_THREAD
            __Pyx_FastGIL_Forget();
            Py_BLOCK_THREADS
            #endif
            goto __pyx_L16;
          }
          __pyx_L16:;
        }
    }
  
    /* "gensim/models/doc2vec_inner.pyx":672
   *                               &ONE, &c.word_vectors[c.window_indexes[m] * c.vector_size], &ONE)
   * 
   *     return result             # <<<<<<<<<<<<<<
   */
    __Pyx_XDECREF(__pyx_r);
    __pyx_t_7 = __Pyx_PyInt_From_long(__pyx_v_result); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 672, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_r = __pyx_t_7;
    __pyx_t_7 = 0;
    goto __pyx_L0;
  
    /* "gensim/models/doc2vec_inner.pyx":544
   * 
   * 
   * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
   *                              learn_doctags=True, learn_words=True, learn_hidden=True,
   *                              word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
  
    /* function exit code */
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_XDECREF(__pyx_t_7);
    __Pyx_XDECREF(__pyx_t_9);
    __Pyx_XDECREF(__pyx_t_11);
    __Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dm_concat", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = NULL;
    __pyx_L0:;
    __Pyx_XDECREF(__pyx_v_vlookup);
    __Pyx_XDECREF(__pyx_v_token);
    __Pyx_XDECREF(__pyx_v_predict_word);
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":258
   *         # experimental exception made for __getbuffer__ and __releasebuffer__
   *         # -- the details of this may change.
   *         def __getbuffer__(ndarray self, Py_buffer* info, int flags):             # <<<<<<<<<<<<<<
   *             # This implementation of getbuffer is geared towards Cython
   *             # requirements, and does not yet fulfill the PEP.
   */
  
  /* Python wrapper */
  static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
  static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) {
    int __pyx_r;
    __Pyx_RefNannyDeclarations
    __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0);
    __pyx_r = __pyx_pf_5numpy_7ndarray___getbuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags));
  
    /* function exit code */
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) {
    int __pyx_v_i;
    int __pyx_v_ndim;
    int __pyx_v_endian_detector;
    int __pyx_v_little_endian;
    int __pyx_v_t;
    char *__pyx_v_f;
    PyArray_Descr *__pyx_v_descr = 0;
    int __pyx_v_offset;
    int __pyx_r;
    __Pyx_RefNannyDeclarations
    int __pyx_t_1;
    int __pyx_t_2;
    PyObject *__pyx_t_3 = NULL;
    int __pyx_t_4;
    int __pyx_t_5;
    int __pyx_t_6;
    PyArray_Descr *__pyx_t_7;
    PyObject *__pyx_t_8 = NULL;
    char *__pyx_t_9;
    if (__pyx_v_info == NULL) {
      PyErr_SetString(PyExc_BufferError, "PyObject_GetBuffer: view==NULL argument is obsolete");
      return -1;
    }
    __Pyx_RefNannySetupContext("__getbuffer__", 0);
    __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None);
    __Pyx_GIVEREF(__pyx_v_info->obj);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":265
   * 
   *             cdef int i, ndim
   *             cdef int endian_detector = 1             # <<<<<<<<<<<<<<
   *             cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
   * 
   */
    __pyx_v_endian_detector = 1;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":266
   *             cdef int i, ndim
   *             cdef int endian_detector = 1
   *             cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)             # <<<<<<<<<<<<<<
   * 
   *             ndim = PyArray_NDIM(self)
   */
    __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":268
   *             cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
   * 
   *             ndim = PyArray_NDIM(self)             # <<<<<<<<<<<<<<
   * 
   *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
   */
    __pyx_v_ndim = PyArray_NDIM(__pyx_v_self);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":270
   *             ndim = PyArray_NDIM(self)
   * 
   *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)             # <<<<<<<<<<<<<<
   *                 and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)):
   *                 raise ValueError(u"ndarray is not C contiguous")
   */
    __pyx_t_2 = (((__pyx_v_flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS) != 0);
    if (__pyx_t_2) {
    } else {
      __pyx_t_1 = __pyx_t_2;
      goto __pyx_L4_bool_binop_done;
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":271
   * 
   *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
   *                 and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)):             # <<<<<<<<<<<<<<
   *                 raise ValueError(u"ndarray is not C contiguous")
   * 
   */
    __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_ARRAY_C_CONTIGUOUS) != 0)) != 0);
    __pyx_t_1 = __pyx_t_2;
    __pyx_L4_bool_binop_done:;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":270
   *             ndim = PyArray_NDIM(self)
   * 
   *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)             # <<<<<<<<<<<<<<
   *                 and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)):
   *                 raise ValueError(u"ndarray is not C contiguous")
   */
    if (unlikely(__pyx_t_1)) {
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":272
   *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
   *                 and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)):
   *                 raise ValueError(u"ndarray is not C contiguous")             # <<<<<<<<<<<<<<
   * 
   *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
   */
      __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__3, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 272, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_Raise(__pyx_t_3, 0, 0, 0);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __PYX_ERR(1, 272, __pyx_L1_error)
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":270
   *             ndim = PyArray_NDIM(self)
   * 
   *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)             # <<<<<<<<<<<<<<
   *                 and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)):
   *                 raise ValueError(u"ndarray is not C contiguous")
   */
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":274
   *                 raise ValueError(u"ndarray is not C contiguous")
   * 
   *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)             # <<<<<<<<<<<<<<
   *                 and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)):
   *                 raise ValueError(u"ndarray is not Fortran contiguous")
   */
    __pyx_t_2 = (((__pyx_v_flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS) != 0);
    if (__pyx_t_2) {
    } else {
      __pyx_t_1 = __pyx_t_2;
      goto __pyx_L7_bool_binop_done;
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":275
   * 
   *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
   *                 and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)):             # <<<<<<<<<<<<<<
   *                 raise ValueError(u"ndarray is not Fortran contiguous")
   * 
   */
    __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_ARRAY_F_CONTIGUOUS) != 0)) != 0);
    __pyx_t_1 = __pyx_t_2;
    __pyx_L7_bool_binop_done:;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":274
   *                 raise ValueError(u"ndarray is not C contiguous")
   * 
   *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)             # <<<<<<<<<<<<<<
   *                 and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)):
   *                 raise ValueError(u"ndarray is not Fortran contiguous")
   */
    if (unlikely(__pyx_t_1)) {
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":276
   *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
   *                 and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)):
   *                 raise ValueError(u"ndarray is not Fortran contiguous")             # <<<<<<<<<<<<<<
   * 
   *             info.buf = PyArray_DATA(self)
   */
      __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__4, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 276, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_Raise(__pyx_t_3, 0, 0, 0);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __PYX_ERR(1, 276, __pyx_L1_error)
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":274
   *                 raise ValueError(u"ndarray is not C contiguous")
   * 
   *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)             # <<<<<<<<<<<<<<
   *                 and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)):
   *                 raise ValueError(u"ndarray is not Fortran contiguous")
   */
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":278
   *                 raise ValueError(u"ndarray is not Fortran contiguous")
   * 
   *             info.buf = PyArray_DATA(self)             # <<<<<<<<<<<<<<
   *             info.ndim = ndim
   *             if sizeof(npy_intp) != sizeof(Py_ssize_t):
   */
    __pyx_v_info->buf = PyArray_DATA(__pyx_v_self);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":279
   * 
   *             info.buf = PyArray_DATA(self)
   *             info.ndim = ndim             # <<<<<<<<<<<<<<
   *             if sizeof(npy_intp) != sizeof(Py_ssize_t):
   *                 # Allocate new buffer for strides and shape info.
   */
    __pyx_v_info->ndim = __pyx_v_ndim;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":280
   *             info.buf = PyArray_DATA(self)
   *             info.ndim = ndim
   *             if sizeof(npy_intp) != sizeof(Py_ssize_t):             # <<<<<<<<<<<<<<
   *                 # Allocate new buffer for strides and shape info.
   *                 # This is allocated as one block, strides first.
   */
    __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0);
    if (__pyx_t_1) {
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":283
   *                 # Allocate new buffer for strides and shape info.
   *                 # This is allocated as one block, strides first.
   *                 info.strides = <Py_ssize_t*>PyObject_Malloc(sizeof(Py_ssize_t) * 2 * <size_t>ndim)             # <<<<<<<<<<<<<<
   *                 info.shape = info.strides + ndim
   *                 for i in range(ndim):
   */
      __pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim))));
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":284
   *                 # This is allocated as one block, strides first.
   *                 info.strides = <Py_ssize_t*>PyObject_Malloc(sizeof(Py_ssize_t) * 2 * <size_t>ndim)
   *                 info.shape = info.strides + ndim             # <<<<<<<<<<<<<<
   *                 for i in range(ndim):
   *                     info.strides[i] = PyArray_STRIDES(self)[i]
   */
      __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim);
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":285
   *                 info.strides = <Py_ssize_t*>PyObject_Malloc(sizeof(Py_ssize_t) * 2 * <size_t>ndim)
   *                 info.shape = info.strides + ndim
   *                 for i in range(ndim):             # <<<<<<<<<<<<<<
   *                     info.strides[i] = PyArray_STRIDES(self)[i]
   *                     info.shape[i] = PyArray_DIMS(self)[i]
   */
      __pyx_t_4 = __pyx_v_ndim;
      __pyx_t_5 = __pyx_t_4;
      for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
        __pyx_v_i = __pyx_t_6;
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":286
   *                 info.shape = info.strides + ndim
   *                 for i in range(ndim):
   *                     info.strides[i] = PyArray_STRIDES(self)[i]             # <<<<<<<<<<<<<<
   *                     info.shape[i] = PyArray_DIMS(self)[i]
   *             else:
   */
        (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]);
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":287
   *                 for i in range(ndim):
   *                     info.strides[i] = PyArray_STRIDES(self)[i]
   *                     info.shape[i] = PyArray_DIMS(self)[i]             # <<<<<<<<<<<<<<
   *             else:
   *                 info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
   */
        (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]);
      }
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":280
   *             info.buf = PyArray_DATA(self)
   *             info.ndim = ndim
   *             if sizeof(npy_intp) != sizeof(Py_ssize_t):             # <<<<<<<<<<<<<<
   *                 # Allocate new buffer for strides and shape info.
   *                 # This is allocated as one block, strides first.
   */
      goto __pyx_L9;
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":289
   *                     info.shape[i] = PyArray_DIMS(self)[i]
   *             else:
   *                 info.strides = <Py_ssize_t*>PyArray_STRIDES(self)             # <<<<<<<<<<<<<<
   *                 info.shape = <Py_ssize_t*>PyArray_DIMS(self)
   *             info.suboffsets = NULL
   */
    /*else*/ {
      __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self));
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":290
   *             else:
   *                 info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
   *                 info.shape = <Py_ssize_t*>PyArray_DIMS(self)             # <<<<<<<<<<<<<<
   *             info.suboffsets = NULL
   *             info.itemsize = PyArray_ITEMSIZE(self)
   */
      __pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(__pyx_v_self));
    }
    __pyx_L9:;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":291
   *                 info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
   *                 info.shape = <Py_ssize_t*>PyArray_DIMS(self)
   *             info.suboffsets = NULL             # <<<<<<<<<<<<<<
   *             info.itemsize = PyArray_ITEMSIZE(self)
   *             info.readonly = not PyArray_ISWRITEABLE(self)
   */
    __pyx_v_info->suboffsets = NULL;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":292
   *                 info.shape = <Py_ssize_t*>PyArray_DIMS(self)
   *             info.suboffsets = NULL
   *             info.itemsize = PyArray_ITEMSIZE(self)             # <<<<<<<<<<<<<<
   *             info.readonly = not PyArray_ISWRITEABLE(self)
   * 
   */
    __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":293
   *             info.suboffsets = NULL
   *             info.itemsize = PyArray_ITEMSIZE(self)
   *             info.readonly = not PyArray_ISWRITEABLE(self)             # <<<<<<<<<<<<<<
   * 
   *             cdef int t
   */
    __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0));
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":296
   * 
   *             cdef int t
   *             cdef char* f = NULL             # <<<<<<<<<<<<<<
   *             cdef dtype descr = <dtype>PyArray_DESCR(self)
   *             cdef int offset
   */
    __pyx_v_f = NULL;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":297
   *             cdef int t
   *             cdef char* f = NULL
   *             cdef dtype descr = <dtype>PyArray_DESCR(self)             # <<<<<<<<<<<<<<
   *             cdef int offset
   * 
   */
    __pyx_t_7 = PyArray_DESCR(__pyx_v_self);
    __pyx_t_3 = ((PyObject *)__pyx_t_7);
    __Pyx_INCREF(__pyx_t_3);
    __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3);
    __pyx_t_3 = 0;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":300
   *             cdef int offset
   * 
   *             info.obj = self             # <<<<<<<<<<<<<<
   * 
   *             if not PyDataType_HASFIELDS(descr):
   */
    __Pyx_INCREF(((PyObject *)__pyx_v_self));
    __Pyx_GIVEREF(((PyObject *)__pyx_v_self));
    __Pyx_GOTREF(__pyx_v_info->obj);
    __Pyx_DECREF(__pyx_v_info->obj);
    __pyx_v_info->obj = ((PyObject *)__pyx_v_self);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":302
   *             info.obj = self
   * 
   *             if not PyDataType_HASFIELDS(descr):             # <<<<<<<<<<<<<<
   *                 t = descr.type_num
   *                 if ((descr.byteorder == c'>' and little_endian) or
   */
    __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0);
    if (__pyx_t_1) {
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":303
   * 
   *             if not PyDataType_HASFIELDS(descr):
   *                 t = descr.type_num             # <<<<<<<<<<<<<<
   *                 if ((descr.byteorder == c'>' and little_endian) or
   *                     (descr.byteorder == c'<' and not little_endian)):
   */
      __pyx_t_4 = __pyx_v_descr->type_num;
      __pyx_v_t = __pyx_t_4;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":304
   *             if not PyDataType_HASFIELDS(descr):
   *                 t = descr.type_num
   *                 if ((descr.byteorder == c'>' and little_endian) or             # <<<<<<<<<<<<<<
   *                     (descr.byteorder == c'<' and not little_endian)):
   *                     raise ValueError(u"Non-native byte order not supported")
   */
      __pyx_t_2 = ((__pyx_v_descr->byteorder == '>') != 0);
      if (!__pyx_t_2) {
        goto __pyx_L15_next_or;
      } else {
      }
      __pyx_t_2 = (__pyx_v_little_endian != 0);
      if (!__pyx_t_2) {
      } else {
        __pyx_t_1 = __pyx_t_2;
        goto __pyx_L14_bool_binop_done;
      }
      __pyx_L15_next_or:;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":305
   *                 t = descr.type_num
   *                 if ((descr.byteorder == c'>' and little_endian) or
   *                     (descr.byteorder == c'<' and not little_endian)):             # <<<<<<<<<<<<<<
   *                     raise ValueError(u"Non-native byte order not supported")
   *                 if   t == NPY_BYTE:        f = "b"
   */
      __pyx_t_2 = ((__pyx_v_descr->byteorder == '<') != 0);
      if (__pyx_t_2) {
      } else {
        __pyx_t_1 = __pyx_t_2;
        goto __pyx_L14_bool_binop_done;
      }
      __pyx_t_2 = ((!(__pyx_v_little_endian != 0)) != 0);
      __pyx_t_1 = __pyx_t_2;
      __pyx_L14_bool_binop_done:;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":304
   *             if not PyDataType_HASFIELDS(descr):
   *                 t = descr.type_num
   *                 if ((descr.byteorder == c'>' and little_endian) or             # <<<<<<<<<<<<<<
   *                     (descr.byteorder == c'<' and not little_endian)):
   *                     raise ValueError(u"Non-native byte order not supported")
   */
      if (unlikely(__pyx_t_1)) {
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":306
   *                 if ((descr.byteorder == c'>' and little_endian) or
   *                     (descr.byteorder == c'<' and not little_endian)):
   *                     raise ValueError(u"Non-native byte order not supported")             # <<<<<<<<<<<<<<
   *                 if   t == NPY_BYTE:        f = "b"
   *                 elif t == NPY_UBYTE:       f = "B"
   */
        __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 306, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_Raise(__pyx_t_3, 0, 0, 0);
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __PYX_ERR(1, 306, __pyx_L1_error)
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":304
   *             if not PyDataType_HASFIELDS(descr):
   *                 t = descr.type_num
   *                 if ((descr.byteorder == c'>' and little_endian) or             # <<<<<<<<<<<<<<
   *                     (descr.byteorder == c'<' and not little_endian)):
   *                     raise ValueError(u"Non-native byte order not supported")
   */
      }
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":307
   *                     (descr.byteorder == c'<' and not little_endian)):
   *                     raise ValueError(u"Non-native byte order not supported")
   *                 if   t == NPY_BYTE:        f = "b"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_UBYTE:       f = "B"
   *                 elif t == NPY_SHORT:       f = "h"
   */
      switch (__pyx_v_t) {
        case NPY_BYTE:
        __pyx_v_f = ((char *)"b");
        break;
        case NPY_UBYTE:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":308
   *                     raise ValueError(u"Non-native byte order not supported")
   *                 if   t == NPY_BYTE:        f = "b"
   *                 elif t == NPY_UBYTE:       f = "B"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_SHORT:       f = "h"
   *                 elif t == NPY_USHORT:      f = "H"
   */
        __pyx_v_f = ((char *)"B");
        break;
        case NPY_SHORT:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":309
   *                 if   t == NPY_BYTE:        f = "b"
   *                 elif t == NPY_UBYTE:       f = "B"
   *                 elif t == NPY_SHORT:       f = "h"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_USHORT:      f = "H"
   *                 elif t == NPY_INT:         f = "i"
   */
        __pyx_v_f = ((char *)"h");
        break;
        case NPY_USHORT:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":310
   *                 elif t == NPY_UBYTE:       f = "B"
   *                 elif t == NPY_SHORT:       f = "h"
   *                 elif t == NPY_USHORT:      f = "H"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_INT:         f = "i"
   *                 elif t == NPY_UINT:        f = "I"
   */
        __pyx_v_f = ((char *)"H");
        break;
        case NPY_INT:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":311
   *                 elif t == NPY_SHORT:       f = "h"
   *                 elif t == NPY_USHORT:      f = "H"
   *                 elif t == NPY_INT:         f = "i"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_UINT:        f = "I"
   *                 elif t == NPY_LONG:        f = "l"
   */
        __pyx_v_f = ((char *)"i");
        break;
        case NPY_UINT:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":312
   *                 elif t == NPY_USHORT:      f = "H"
   *                 elif t == NPY_INT:         f = "i"
   *                 elif t == NPY_UINT:        f = "I"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_LONG:        f = "l"
   *                 elif t == NPY_ULONG:       f = "L"
   */
        __pyx_v_f = ((char *)"I");
        break;
        case NPY_LONG:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":313
   *                 elif t == NPY_INT:         f = "i"
   *                 elif t == NPY_UINT:        f = "I"
   *                 elif t == NPY_LONG:        f = "l"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_ULONG:       f = "L"
   *                 elif t == NPY_LONGLONG:    f = "q"
   */
        __pyx_v_f = ((char *)"l");
        break;
        case NPY_ULONG:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":314
   *                 elif t == NPY_UINT:        f = "I"
   *                 elif t == NPY_LONG:        f = "l"
   *                 elif t == NPY_ULONG:       f = "L"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_LONGLONG:    f = "q"
   *                 elif t == NPY_ULONGLONG:   f = "Q"
   */
        __pyx_v_f = ((char *)"L");
        break;
        case NPY_LONGLONG:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":315
   *                 elif t == NPY_LONG:        f = "l"
   *                 elif t == NPY_ULONG:       f = "L"
   *                 elif t == NPY_LONGLONG:    f = "q"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_ULONGLONG:   f = "Q"
   *                 elif t == NPY_FLOAT:       f = "f"
   */
        __pyx_v_f = ((char *)"q");
        break;
        case NPY_ULONGLONG:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":316
   *                 elif t == NPY_ULONG:       f = "L"
   *                 elif t == NPY_LONGLONG:    f = "q"
   *                 elif t == NPY_ULONGLONG:   f = "Q"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_FLOAT:       f = "f"
   *                 elif t == NPY_DOUBLE:      f = "d"
   */
        __pyx_v_f = ((char *)"Q");
        break;
        case NPY_FLOAT:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":317
   *                 elif t == NPY_LONGLONG:    f = "q"
   *                 elif t == NPY_ULONGLONG:   f = "Q"
   *                 elif t == NPY_FLOAT:       f = "f"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_DOUBLE:      f = "d"
   *                 elif t == NPY_LONGDOUBLE:  f = "g"
   */
        __pyx_v_f = ((char *)"f");
        break;
        case NPY_DOUBLE:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":318
   *                 elif t == NPY_ULONGLONG:   f = "Q"
   *                 elif t == NPY_FLOAT:       f = "f"
   *                 elif t == NPY_DOUBLE:      f = "d"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_LONGDOUBLE:  f = "g"
   *                 elif t == NPY_CFLOAT:      f = "Zf"
   */
        __pyx_v_f = ((char *)"d");
        break;
        case NPY_LONGDOUBLE:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":319
   *                 elif t == NPY_FLOAT:       f = "f"
   *                 elif t == NPY_DOUBLE:      f = "d"
   *                 elif t == NPY_LONGDOUBLE:  f = "g"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_CFLOAT:      f = "Zf"
   *                 elif t == NPY_CDOUBLE:     f = "Zd"
   */
        __pyx_v_f = ((char *)"g");
        break;
        case NPY_CFLOAT:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":320
   *                 elif t == NPY_DOUBLE:      f = "d"
   *                 elif t == NPY_LONGDOUBLE:  f = "g"
   *                 elif t == NPY_CFLOAT:      f = "Zf"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_CDOUBLE:     f = "Zd"
   *                 elif t == NPY_CLONGDOUBLE: f = "Zg"
   */
        __pyx_v_f = ((char *)"Zf");
        break;
        case NPY_CDOUBLE:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":321
   *                 elif t == NPY_LONGDOUBLE:  f = "g"
   *                 elif t == NPY_CFLOAT:      f = "Zf"
   *                 elif t == NPY_CDOUBLE:     f = "Zd"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_CLONGDOUBLE: f = "Zg"
   *                 elif t == NPY_OBJECT:      f = "O"
   */
        __pyx_v_f = ((char *)"Zd");
        break;
        case NPY_CLONGDOUBLE:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":322
   *                 elif t == NPY_CFLOAT:      f = "Zf"
   *                 elif t == NPY_CDOUBLE:     f = "Zd"
   *                 elif t == NPY_CLONGDOUBLE: f = "Zg"             # <<<<<<<<<<<<<<
   *                 elif t == NPY_OBJECT:      f = "O"
   *                 else:
   */
        __pyx_v_f = ((char *)"Zg");
        break;
        case NPY_OBJECT:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":323
   *                 elif t == NPY_CDOUBLE:     f = "Zd"
   *                 elif t == NPY_CLONGDOUBLE: f = "Zg"
   *                 elif t == NPY_OBJECT:      f = "O"             # <<<<<<<<<<<<<<
   *                 else:
   *                     raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
   */
        __pyx_v_f = ((char *)"O");
        break;
        default:
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":325
   *                 elif t == NPY_OBJECT:      f = "O"
   *                 else:
   *                     raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)             # <<<<<<<<<<<<<<
   *                 info.format = f
   *                 return
   */
        __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_t); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 325, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __pyx_t_8 = PyUnicode_Format(__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_t_3); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 325, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_8);
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_8); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 325, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        __Pyx_Raise(__pyx_t_3, 0, 0, 0);
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __PYX_ERR(1, 325, __pyx_L1_error)
        break;
      }
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":326
   *                 else:
   *                     raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
   *                 info.format = f             # <<<<<<<<<<<<<<
   *                 return
   *             else:
   */
      __pyx_v_info->format = __pyx_v_f;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":327
   *                     raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
   *                 info.format = f
   *                 return             # <<<<<<<<<<<<<<
   *             else:
   *                 info.format = <char*>PyObject_Malloc(_buffer_format_string_len)
   */
      __pyx_r = 0;
      goto __pyx_L0;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":302
   *             info.obj = self
   * 
   *             if not PyDataType_HASFIELDS(descr):             # <<<<<<<<<<<<<<
   *                 t = descr.type_num
   *                 if ((descr.byteorder == c'>' and little_endian) or
   */
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":329
   *                 return
   *             else:
   *                 info.format = <char*>PyObject_Malloc(_buffer_format_string_len)             # <<<<<<<<<<<<<<
   *                 info.format[0] = c'^' # Native data types, manual alignment
   *                 offset = 0
   */
    /*else*/ {
      __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF));
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":330
   *             else:
   *                 info.format = <char*>PyObject_Malloc(_buffer_format_string_len)
   *                 info.format[0] = c'^' # Native data types, manual alignment             # <<<<<<<<<<<<<<
   *                 offset = 0
   *                 f = _util_dtypestring(descr, info.format + 1,
   */
      (__pyx_v_info->format[0]) = '^';
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":331
   *                 info.format = <char*>PyObject_Malloc(_buffer_format_string_len)
   *                 info.format[0] = c'^' # Native data types, manual alignment
   *                 offset = 0             # <<<<<<<<<<<<<<
   *                 f = _util_dtypestring(descr, info.format + 1,
   *                                       info.format + _buffer_format_string_len,
   */
      __pyx_v_offset = 0;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":332
   *                 info.format[0] = c'^' # Native data types, manual alignment
   *                 offset = 0
   *                 f = _util_dtypestring(descr, info.format + 1,             # <<<<<<<<<<<<<<
   *                                       info.format + _buffer_format_string_len,
   *                                       &offset)
   */
      __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 332, __pyx_L1_error)
      __pyx_v_f = __pyx_t_9;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":335
   *                                       info.format + _buffer_format_string_len,
   *                                       &offset)
   *                 f[0] = c'\0' # Terminate format string             # <<<<<<<<<<<<<<
   * 
   *         def __releasebuffer__(ndarray self, Py_buffer* info):
   */
      (__pyx_v_f[0]) = '\x00';
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":258
   *         # experimental exception made for __getbuffer__ and __releasebuffer__
   *         # -- the details of this may change.
   *         def __getbuffer__(ndarray self, Py_buffer* info, int flags):             # <<<<<<<<<<<<<<
   *             # This implementation of getbuffer is geared towards Cython
   *             # requirements, and does not yet fulfill the PEP.
   */
  
    /* function exit code */
    __pyx_r = 0;
    goto __pyx_L0;
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_3);
    __Pyx_XDECREF(__pyx_t_8);
    __Pyx_AddTraceback("numpy.ndarray.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = -1;
    if (__pyx_v_info->obj != NULL) {
      __Pyx_GOTREF(__pyx_v_info->obj);
      __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0;
    }
    goto __pyx_L2;
    __pyx_L0:;
    if (__pyx_v_info->obj == Py_None) {
      __Pyx_GOTREF(__pyx_v_info->obj);
      __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0;
    }
    __pyx_L2:;
    __Pyx_XDECREF((PyObject *)__pyx_v_descr);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":337
   *                 f[0] = c'\0' # Terminate format string
   * 
   *         def __releasebuffer__(ndarray self, Py_buffer* info):             # <<<<<<<<<<<<<<
   *             if PyArray_HASFIELDS(self):
   *                 PyObject_Free(info.format)
   */
  
  /* Python wrapper */
  static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info); /*proto*/
  static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info) {
    __Pyx_RefNannyDeclarations
    __Pyx_RefNannySetupContext("__releasebuffer__ (wrapper)", 0);
    __pyx_pf_5numpy_7ndarray_2__releasebuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info));
  
    /* function exit code */
    __Pyx_RefNannyFinishContext();
  }
  
  static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info) {
    __Pyx_RefNannyDeclarations
    int __pyx_t_1;
    __Pyx_RefNannySetupContext("__releasebuffer__", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":338
   * 
   *         def __releasebuffer__(ndarray self, Py_buffer* info):
   *             if PyArray_HASFIELDS(self):             # <<<<<<<<<<<<<<
   *                 PyObject_Free(info.format)
   *             if sizeof(npy_intp) != sizeof(Py_ssize_t):
   */
    __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0);
    if (__pyx_t_1) {
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":339
   *         def __releasebuffer__(ndarray self, Py_buffer* info):
   *             if PyArray_HASFIELDS(self):
   *                 PyObject_Free(info.format)             # <<<<<<<<<<<<<<
   *             if sizeof(npy_intp) != sizeof(Py_ssize_t):
   *                 PyObject_Free(info.strides)
   */
      PyObject_Free(__pyx_v_info->format);
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":338
   * 
   *         def __releasebuffer__(ndarray self, Py_buffer* info):
   *             if PyArray_HASFIELDS(self):             # <<<<<<<<<<<<<<
   *                 PyObject_Free(info.format)
   *             if sizeof(npy_intp) != sizeof(Py_ssize_t):
   */
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":340
   *             if PyArray_HASFIELDS(self):
   *                 PyObject_Free(info.format)
   *             if sizeof(npy_intp) != sizeof(Py_ssize_t):             # <<<<<<<<<<<<<<
   *                 PyObject_Free(info.strides)
   *                 # info.shape was stored after info.strides in the same block
   */
    __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0);
    if (__pyx_t_1) {
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":341
   *                 PyObject_Free(info.format)
   *             if sizeof(npy_intp) != sizeof(Py_ssize_t):
   *                 PyObject_Free(info.strides)             # <<<<<<<<<<<<<<
   *                 # info.shape was stored after info.strides in the same block
   * 
   */
      PyObject_Free(__pyx_v_info->strides);
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":340
   *             if PyArray_HASFIELDS(self):
   *                 PyObject_Free(info.format)
   *             if sizeof(npy_intp) != sizeof(Py_ssize_t):             # <<<<<<<<<<<<<<
   *                 PyObject_Free(info.strides)
   *                 # info.shape was stored after info.strides in the same block
   */
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":337
   *                 f[0] = c'\0' # Terminate format string
   * 
   *         def __releasebuffer__(ndarray self, Py_buffer* info):             # <<<<<<<<<<<<<<
   *             if PyArray_HASFIELDS(self):
   *                 PyObject_Free(info.format)
   */
  
    /* function exit code */
    __Pyx_RefNannyFinishContext();
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":821
   * ctypedef npy_cdouble     complex_t
   * 
   * cdef inline object PyArray_MultiIterNew1(a):             # <<<<<<<<<<<<<<
   *     return PyArray_MultiIterNew(1, <void*>a)
   * 
   */
  
  static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__pyx_v_a) {
    PyObject *__pyx_r = NULL;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":822
   * 
   * cdef inline object PyArray_MultiIterNew1(a):
   *     return PyArray_MultiIterNew(1, <void*>a)             # <<<<<<<<<<<<<<
   * 
   * cdef inline object PyArray_MultiIterNew2(a, b):
   */
    __Pyx_XDECREF(__pyx_r);
    __pyx_t_1 = PyArray_MultiIterNew(1, ((void *)__pyx_v_a)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 822, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_r = __pyx_t_1;
    __pyx_t_1 = 0;
    goto __pyx_L0;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":821
   * ctypedef npy_cdouble     complex_t
   * 
   * cdef inline object PyArray_MultiIterNew1(a):             # <<<<<<<<<<<<<<
   *     return PyArray_MultiIterNew(1, <void*>a)
   * 
   */
  
    /* function exit code */
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_AddTraceback("numpy.PyArray_MultiIterNew1", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = 0;
    __pyx_L0:;
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":824
   *     return PyArray_MultiIterNew(1, <void*>a)
   * 
   * cdef inline object PyArray_MultiIterNew2(a, b):             # <<<<<<<<<<<<<<
   *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
   * 
   */
  
  static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__pyx_v_a, PyObject *__pyx_v_b) {
    PyObject *__pyx_r = NULL;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    __Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":825
   * 
   * cdef inline object PyArray_MultiIterNew2(a, b):
   *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)             # <<<<<<<<<<<<<<
   * 
   * cdef inline object PyArray_MultiIterNew3(a, b, c):
   */
    __Pyx_XDECREF(__pyx_r);
    __pyx_t_1 = PyArray_MultiIterNew(2, ((void *)__pyx_v_a), ((void *)__pyx_v_b)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 825, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_r = __pyx_t_1;
    __pyx_t_1 = 0;
    goto __pyx_L0;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":824
   *     return PyArray_MultiIterNew(1, <void*>a)
   * 
   * cdef inline object PyArray_MultiIterNew2(a, b):             # <<<<<<<<<<<<<<
   *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
   * 
   */
  
    /* function exit code */
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_AddTraceback("numpy.PyArray_MultiIterNew2", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = 0;
    __pyx_L0:;
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":827
   *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
   * 
   * cdef inline object PyArray_MultiIterNew3(a, b, c):             # <<<<<<<<<<<<<<
   *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
   * 
   */
  
  static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c) {
    PyObject *__pyx_r = NULL;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    __Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":828
   * 
   * cdef inline object PyArray_MultiIterNew3(a, b, c):
   *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)             # <<<<<<<<<<<<<<
   * 
   * cdef inline object PyArray_MultiIterNew4(a, b, c, d):
   */
    __Pyx_XDECREF(__pyx_r);
    __pyx_t_1 = PyArray_MultiIterNew(3, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 828, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_r = __pyx_t_1;
    __pyx_t_1 = 0;
    goto __pyx_L0;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":827
   *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
   * 
   * cdef inline object PyArray_MultiIterNew3(a, b, c):             # <<<<<<<<<<<<<<
   *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
   * 
   */
  
    /* function exit code */
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_AddTraceback("numpy.PyArray_MultiIterNew3", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = 0;
    __pyx_L0:;
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":830
   *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
   * 
   * cdef inline object PyArray_MultiIterNew4(a, b, c, d):             # <<<<<<<<<<<<<<
   *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
   * 
   */
  
  static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d) {
    PyObject *__pyx_r = NULL;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    __Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":831
   * 
   * cdef inline object PyArray_MultiIterNew4(a, b, c, d):
   *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)             # <<<<<<<<<<<<<<
   * 
   * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
   */
    __Pyx_XDECREF(__pyx_r);
    __pyx_t_1 = PyArray_MultiIterNew(4, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 831, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_r = __pyx_t_1;
    __pyx_t_1 = 0;
    goto __pyx_L0;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":830
   *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
   * 
   * cdef inline object PyArray_MultiIterNew4(a, b, c, d):             # <<<<<<<<<<<<<<
   *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
   * 
   */
  
    /* function exit code */
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_AddTraceback("numpy.PyArray_MultiIterNew4", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = 0;
    __pyx_L0:;
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":833
   *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
   * 
   * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):             # <<<<<<<<<<<<<<
   *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
   * 
   */
  
  static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d, PyObject *__pyx_v_e) {
    PyObject *__pyx_r = NULL;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":834
   * 
   * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
   *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)             # <<<<<<<<<<<<<<
   * 
   * cdef inline tuple PyDataType_SHAPE(dtype d):
   */
    __Pyx_XDECREF(__pyx_r);
    __pyx_t_1 = PyArray_MultiIterNew(5, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d), ((void *)__pyx_v_e)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 834, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_r = __pyx_t_1;
    __pyx_t_1 = 0;
    goto __pyx_L0;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":833
   *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
   * 
   * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):             # <<<<<<<<<<<<<<
   *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
   * 
   */
  
    /* function exit code */
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_AddTraceback("numpy.PyArray_MultiIterNew5", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = 0;
    __pyx_L0:;
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":836
   *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
   * 
   * cdef inline tuple PyDataType_SHAPE(dtype d):             # <<<<<<<<<<<<<<
   *     if PyDataType_HASSUBARRAY(d):
   *         return <tuple>d.subarray.shape
   */
  
  static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__pyx_v_d) {
    PyObject *__pyx_r = NULL;
    __Pyx_RefNannyDeclarations
    int __pyx_t_1;
    __Pyx_RefNannySetupContext("PyDataType_SHAPE", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":837
   * 
   * cdef inline tuple PyDataType_SHAPE(dtype d):
   *     if PyDataType_HASSUBARRAY(d):             # <<<<<<<<<<<<<<
   *         return <tuple>d.subarray.shape
   *     else:
   */
    __pyx_t_1 = (PyDataType_HASSUBARRAY(__pyx_v_d) != 0);
    if (__pyx_t_1) {
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":838
   * cdef inline tuple PyDataType_SHAPE(dtype d):
   *     if PyDataType_HASSUBARRAY(d):
   *         return <tuple>d.subarray.shape             # <<<<<<<<<<<<<<
   *     else:
   *         return ()
   */
      __Pyx_XDECREF(__pyx_r);
      __Pyx_INCREF(((PyObject*)__pyx_v_d->subarray->shape));
      __pyx_r = ((PyObject*)__pyx_v_d->subarray->shape);
      goto __pyx_L0;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":837
   * 
   * cdef inline tuple PyDataType_SHAPE(dtype d):
   *     if PyDataType_HASSUBARRAY(d):             # <<<<<<<<<<<<<<
   *         return <tuple>d.subarray.shape
   *     else:
   */
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":840
   *         return <tuple>d.subarray.shape
   *     else:
   *         return ()             # <<<<<<<<<<<<<<
   * 
   * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL:
   */
    /*else*/ {
      __Pyx_XDECREF(__pyx_r);
      __Pyx_INCREF(__pyx_empty_tuple);
      __pyx_r = __pyx_empty_tuple;
      goto __pyx_L0;
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":836
   *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
   * 
   * cdef inline tuple PyDataType_SHAPE(dtype d):             # <<<<<<<<<<<<<<
   *     if PyDataType_HASSUBARRAY(d):
   *         return <tuple>d.subarray.shape
   */
  
    /* function exit code */
    __pyx_L0:;
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":842
   *         return ()
   * 
   * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL:             # <<<<<<<<<<<<<<
   *     # Recursive utility function used in __getbuffer__ to get format
   *     # string. The new location in the format string is returned.
   */
  
  static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx_v_descr, char *__pyx_v_f, char *__pyx_v_end, int *__pyx_v_offset) {
    PyArray_Descr *__pyx_v_child = 0;
    int __pyx_v_endian_detector;
    int __pyx_v_little_endian;
    PyObject *__pyx_v_fields = 0;
    PyObject *__pyx_v_childname = NULL;
    PyObject *__pyx_v_new_offset = NULL;
    PyObject *__pyx_v_t = NULL;
    char *__pyx_r;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    Py_ssize_t __pyx_t_2;
    PyObject *__pyx_t_3 = NULL;
    PyObject *__pyx_t_4 = NULL;
    int __pyx_t_5;
    int __pyx_t_6;
    int __pyx_t_7;
    long __pyx_t_8;
    char *__pyx_t_9;
    __Pyx_RefNannySetupContext("_util_dtypestring", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":847
   * 
   *     cdef dtype child
   *     cdef int endian_detector = 1             # <<<<<<<<<<<<<<
   *     cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
   *     cdef tuple fields
   */
    __pyx_v_endian_detector = 1;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":848
   *     cdef dtype child
   *     cdef int endian_detector = 1
   *     cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)             # <<<<<<<<<<<<<<
   *     cdef tuple fields
   * 
   */
    __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":851
   *     cdef tuple fields
   * 
   *     for childname in descr.names:             # <<<<<<<<<<<<<<
   *         fields = descr.fields[childname]
   *         child, new_offset = fields
   */
    if (unlikely(__pyx_v_descr->names == Py_None)) {
      PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
      __PYX_ERR(1, 851, __pyx_L1_error)
    }
    __pyx_t_1 = __pyx_v_descr->names; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0;
    for (;;) {
      if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
      #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
      __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_3); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(1, 851, __pyx_L1_error)
      #else
      __pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 851, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      #endif
      __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3);
      __pyx_t_3 = 0;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":852
   * 
   *     for childname in descr.names:
   *         fields = descr.fields[childname]             # <<<<<<<<<<<<<<
   *         child, new_offset = fields
   * 
   */
      if (unlikely(__pyx_v_descr->fields == Py_None)) {
        PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable");
        __PYX_ERR(1, 852, __pyx_L1_error)
      }
      __pyx_t_3 = __Pyx_PyDict_GetItem(__pyx_v_descr->fields, __pyx_v_childname); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 852, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      if (!(likely(PyTuple_CheckExact(__pyx_t_3))||((__pyx_t_3) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "tuple", Py_TYPE(__pyx_t_3)->tp_name), 0))) __PYX_ERR(1, 852, __pyx_L1_error)
      __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3));
      __pyx_t_3 = 0;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":853
   *     for childname in descr.names:
   *         fields = descr.fields[childname]
   *         child, new_offset = fields             # <<<<<<<<<<<<<<
   * 
   *         if (end - f) - <int>(new_offset - offset[0]) < 15:
   */
      if (likely(__pyx_v_fields != Py_None)) {
        PyObject* sequence = __pyx_v_fields;
        Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
        if (unlikely(size != 2)) {
          if (size > 2) __Pyx_RaiseTooManyValuesError(2);
          else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
          __PYX_ERR(1, 853, __pyx_L1_error)
        }
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); 
        __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); 
        __Pyx_INCREF(__pyx_t_3);
        __Pyx_INCREF(__pyx_t_4);
        #else
        __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 853, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __pyx_t_4 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 853, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      } else {
        __Pyx_RaiseNoneNotIterableError(); __PYX_ERR(1, 853, __pyx_L1_error)
      }
      if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_dtype))))) __PYX_ERR(1, 853, __pyx_L1_error)
      __Pyx_XDECREF_SET(__pyx_v_child, ((PyArray_Descr *)__pyx_t_3));
      __pyx_t_3 = 0;
      __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4);
      __pyx_t_4 = 0;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":855
   *         child, new_offset = fields
   * 
   *         if (end - f) - <int>(new_offset - offset[0]) < 15:             # <<<<<<<<<<<<<<
   *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
   * 
   */
      __pyx_t_4 = __Pyx_PyInt_From_int((__pyx_v_offset[0])); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 855, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_3 = PyNumber_Subtract(__pyx_v_new_offset, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 855, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_5 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_5 == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 855, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0);
      if (unlikely(__pyx_t_6)) {
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":856
   * 
   *         if (end - f) - <int>(new_offset - offset[0]) < 15:
   *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")             # <<<<<<<<<<<<<<
   * 
   *         if ((child.byteorder == c'>' and little_endian) or
   */
        __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_tuple__6, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 856, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_Raise(__pyx_t_3, 0, 0, 0);
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __PYX_ERR(1, 856, __pyx_L1_error)
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":855
   *         child, new_offset = fields
   * 
   *         if (end - f) - <int>(new_offset - offset[0]) < 15:             # <<<<<<<<<<<<<<
   *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
   * 
   */
      }
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":858
   *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
   * 
   *         if ((child.byteorder == c'>' and little_endian) or             # <<<<<<<<<<<<<<
   *             (child.byteorder == c'<' and not little_endian)):
   *             raise ValueError(u"Non-native byte order not supported")
   */
      __pyx_t_7 = ((__pyx_v_child->byteorder == '>') != 0);
      if (!__pyx_t_7) {
        goto __pyx_L8_next_or;
      } else {
      }
      __pyx_t_7 = (__pyx_v_little_endian != 0);
      if (!__pyx_t_7) {
      } else {
        __pyx_t_6 = __pyx_t_7;
        goto __pyx_L7_bool_binop_done;
      }
      __pyx_L8_next_or:;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":859
   * 
   *         if ((child.byteorder == c'>' and little_endian) or
   *             (child.byteorder == c'<' and not little_endian)):             # <<<<<<<<<<<<<<
   *             raise ValueError(u"Non-native byte order not supported")
   *             # One could encode it in the format string and have Cython
   */
      __pyx_t_7 = ((__pyx_v_child->byteorder == '<') != 0);
      if (__pyx_t_7) {
      } else {
        __pyx_t_6 = __pyx_t_7;
        goto __pyx_L7_bool_binop_done;
      }
      __pyx_t_7 = ((!(__pyx_v_little_endian != 0)) != 0);
      __pyx_t_6 = __pyx_t_7;
      __pyx_L7_bool_binop_done:;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":858
   *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
   * 
   *         if ((child.byteorder == c'>' and little_endian) or             # <<<<<<<<<<<<<<
   *             (child.byteorder == c'<' and not little_endian)):
   *             raise ValueError(u"Non-native byte order not supported")
   */
      if (unlikely(__pyx_t_6)) {
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":860
   *         if ((child.byteorder == c'>' and little_endian) or
   *             (child.byteorder == c'<' and not little_endian)):
   *             raise ValueError(u"Non-native byte order not supported")             # <<<<<<<<<<<<<<
   *             # One could encode it in the format string and have Cython
   *             # complain instead, BUT: < and > in format strings also imply
   */
        __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 860, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_Raise(__pyx_t_3, 0, 0, 0);
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __PYX_ERR(1, 860, __pyx_L1_error)
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":858
   *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
   * 
   *         if ((child.byteorder == c'>' and little_endian) or             # <<<<<<<<<<<<<<
   *             (child.byteorder == c'<' and not little_endian)):
   *             raise ValueError(u"Non-native byte order not supported")
   */
      }
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":870
   * 
   *         # Output padding bytes
   *         while offset[0] < new_offset:             # <<<<<<<<<<<<<<
   *             f[0] = 120 # "x"; pad byte
   *             f += 1
   */
      while (1) {
        __pyx_t_3 = __Pyx_PyInt_From_int((__pyx_v_offset[0])); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 870, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __pyx_t_4 = PyObject_RichCompare(__pyx_t_3, __pyx_v_new_offset, Py_LT); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 870, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 870, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        if (!__pyx_t_6) break;
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":871
   *         # Output padding bytes
   *         while offset[0] < new_offset:
   *             f[0] = 120 # "x"; pad byte             # <<<<<<<<<<<<<<
   *             f += 1
   *             offset[0] += 1
   */
        (__pyx_v_f[0]) = 0x78;
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":872
   *         while offset[0] < new_offset:
   *             f[0] = 120 # "x"; pad byte
   *             f += 1             # <<<<<<<<<<<<<<
   *             offset[0] += 1
   * 
   */
        __pyx_v_f = (__pyx_v_f + 1);
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":873
   *             f[0] = 120 # "x"; pad byte
   *             f += 1
   *             offset[0] += 1             # <<<<<<<<<<<<<<
   * 
   *         offset[0] += child.itemsize
   */
        __pyx_t_8 = 0;
        (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1);
      }
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":875
   *             offset[0] += 1
   * 
   *         offset[0] += child.itemsize             # <<<<<<<<<<<<<<
   * 
   *         if not PyDataType_HASFIELDS(child):
   */
      __pyx_t_8 = 0;
      (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize);
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":877
   *         offset[0] += child.itemsize
   * 
   *         if not PyDataType_HASFIELDS(child):             # <<<<<<<<<<<<<<
   *             t = child.type_num
   *             if end - f < 5:
   */
      __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0);
      if (__pyx_t_6) {
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":878
   * 
   *         if not PyDataType_HASFIELDS(child):
   *             t = child.type_num             # <<<<<<<<<<<<<<
   *             if end - f < 5:
   *                 raise RuntimeError(u"Format string allocated too short.")
   */
        __pyx_t_4 = __Pyx_PyInt_From_int(__pyx_v_child->type_num); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 878, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4);
        __pyx_t_4 = 0;
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":879
   *         if not PyDataType_HASFIELDS(child):
   *             t = child.type_num
   *             if end - f < 5:             # <<<<<<<<<<<<<<
   *                 raise RuntimeError(u"Format string allocated too short.")
   * 
   */
        __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0);
        if (unlikely(__pyx_t_6)) {
  
          /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":880
   *             t = child.type_num
   *             if end - f < 5:
   *                 raise RuntimeError(u"Format string allocated too short.")             # <<<<<<<<<<<<<<
   * 
   *             # Until ticket #99 is fixed, use integers to avoid warnings
   */
          __pyx_t_4 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_tuple__7, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 880, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_4);
          __Pyx_Raise(__pyx_t_4, 0, 0, 0);
          __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
          __PYX_ERR(1, 880, __pyx_L1_error)
  
          /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":879
   *         if not PyDataType_HASFIELDS(child):
   *             t = child.type_num
   *             if end - f < 5:             # <<<<<<<<<<<<<<
   *                 raise RuntimeError(u"Format string allocated too short.")
   * 
   */
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":883
   * 
   *             # Until ticket #99 is fixed, use integers to avoid warnings
   *             if   t == NPY_BYTE:        f[0] =  98 #"b"             # <<<<<<<<<<<<<<
   *             elif t == NPY_UBYTE:       f[0] =  66 #"B"
   *             elif t == NPY_SHORT:       f[0] = 104 #"h"
   */
        __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_BYTE); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 883, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 883, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 883, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 98;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":884
   *             # Until ticket #99 is fixed, use integers to avoid warnings
   *             if   t == NPY_BYTE:        f[0] =  98 #"b"
   *             elif t == NPY_UBYTE:       f[0] =  66 #"B"             # <<<<<<<<<<<<<<
   *             elif t == NPY_SHORT:       f[0] = 104 #"h"
   *             elif t == NPY_USHORT:      f[0] =  72 #"H"
   */
        __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_UBYTE); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 884, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 884, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 884, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 66;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":885
   *             if   t == NPY_BYTE:        f[0] =  98 #"b"
   *             elif t == NPY_UBYTE:       f[0] =  66 #"B"
   *             elif t == NPY_SHORT:       f[0] = 104 #"h"             # <<<<<<<<<<<<<<
   *             elif t == NPY_USHORT:      f[0] =  72 #"H"
   *             elif t == NPY_INT:         f[0] = 105 #"i"
   */
        __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_SHORT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 885, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 885, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 885, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 0x68;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":886
   *             elif t == NPY_UBYTE:       f[0] =  66 #"B"
   *             elif t == NPY_SHORT:       f[0] = 104 #"h"
   *             elif t == NPY_USHORT:      f[0] =  72 #"H"             # <<<<<<<<<<<<<<
   *             elif t == NPY_INT:         f[0] = 105 #"i"
   *             elif t == NPY_UINT:        f[0] =  73 #"I"
   */
        __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_USHORT); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 886, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 886, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 886, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 72;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":887
   *             elif t == NPY_SHORT:       f[0] = 104 #"h"
   *             elif t == NPY_USHORT:      f[0] =  72 #"H"
   *             elif t == NPY_INT:         f[0] = 105 #"i"             # <<<<<<<<<<<<<<
   *             elif t == NPY_UINT:        f[0] =  73 #"I"
   *             elif t == NPY_LONG:        f[0] = 108 #"l"
   */
        __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_INT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 887, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 887, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 887, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 0x69;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":888
   *             elif t == NPY_USHORT:      f[0] =  72 #"H"
   *             elif t == NPY_INT:         f[0] = 105 #"i"
   *             elif t == NPY_UINT:        f[0] =  73 #"I"             # <<<<<<<<<<<<<<
   *             elif t == NPY_LONG:        f[0] = 108 #"l"
   *             elif t == NPY_ULONG:       f[0] = 76  #"L"
   */
        __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_UINT); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 888, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 888, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 888, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 73;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":889
   *             elif t == NPY_INT:         f[0] = 105 #"i"
   *             elif t == NPY_UINT:        f[0] =  73 #"I"
   *             elif t == NPY_LONG:        f[0] = 108 #"l"             # <<<<<<<<<<<<<<
   *             elif t == NPY_ULONG:       f[0] = 76  #"L"
   *             elif t == NPY_LONGLONG:    f[0] = 113 #"q"
   */
        __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_LONG); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 889, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 889, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 889, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 0x6C;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":890
   *             elif t == NPY_UINT:        f[0] =  73 #"I"
   *             elif t == NPY_LONG:        f[0] = 108 #"l"
   *             elif t == NPY_ULONG:       f[0] = 76  #"L"             # <<<<<<<<<<<<<<
   *             elif t == NPY_LONGLONG:    f[0] = 113 #"q"
   *             elif t == NPY_ULONGLONG:   f[0] = 81  #"Q"
   */
        __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_ULONG); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 890, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 890, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 890, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 76;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":891
   *             elif t == NPY_LONG:        f[0] = 108 #"l"
   *             elif t == NPY_ULONG:       f[0] = 76  #"L"
   *             elif t == NPY_LONGLONG:    f[0] = 113 #"q"             # <<<<<<<<<<<<<<
   *             elif t == NPY_ULONGLONG:   f[0] = 81  #"Q"
   *             elif t == NPY_FLOAT:       f[0] = 102 #"f"
   */
        __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_LONGLONG); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 891, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 891, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 891, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 0x71;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":892
   *             elif t == NPY_ULONG:       f[0] = 76  #"L"
   *             elif t == NPY_LONGLONG:    f[0] = 113 #"q"
   *             elif t == NPY_ULONGLONG:   f[0] = 81  #"Q"             # <<<<<<<<<<<<<<
   *             elif t == NPY_FLOAT:       f[0] = 102 #"f"
   *             elif t == NPY_DOUBLE:      f[0] = 100 #"d"
   */
        __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_ULONGLONG); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 892, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 892, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 892, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 81;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":893
   *             elif t == NPY_LONGLONG:    f[0] = 113 #"q"
   *             elif t == NPY_ULONGLONG:   f[0] = 81  #"Q"
   *             elif t == NPY_FLOAT:       f[0] = 102 #"f"             # <<<<<<<<<<<<<<
   *             elif t == NPY_DOUBLE:      f[0] = 100 #"d"
   *             elif t == NPY_LONGDOUBLE:  f[0] = 103 #"g"
   */
        __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_FLOAT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 893, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 893, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 893, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 0x66;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":894
   *             elif t == NPY_ULONGLONG:   f[0] = 81  #"Q"
   *             elif t == NPY_FLOAT:       f[0] = 102 #"f"
   *             elif t == NPY_DOUBLE:      f[0] = 100 #"d"             # <<<<<<<<<<<<<<
   *             elif t == NPY_LONGDOUBLE:  f[0] = 103 #"g"
   *             elif t == NPY_CFLOAT:      f[0] = 90; f[1] = 102; f += 1 # Zf
   */
        __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_DOUBLE); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 894, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 894, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 894, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 0x64;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":895
   *             elif t == NPY_FLOAT:       f[0] = 102 #"f"
   *             elif t == NPY_DOUBLE:      f[0] = 100 #"d"
   *             elif t == NPY_LONGDOUBLE:  f[0] = 103 #"g"             # <<<<<<<<<<<<<<
   *             elif t == NPY_CFLOAT:      f[0] = 90; f[1] = 102; f += 1 # Zf
   *             elif t == NPY_CDOUBLE:     f[0] = 90; f[1] = 100; f += 1 # Zd
   */
        __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_LONGDOUBLE); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 895, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 895, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 895, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 0x67;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":896
   *             elif t == NPY_DOUBLE:      f[0] = 100 #"d"
   *             elif t == NPY_LONGDOUBLE:  f[0] = 103 #"g"
   *             elif t == NPY_CFLOAT:      f[0] = 90; f[1] = 102; f += 1 # Zf             # <<<<<<<<<<<<<<
   *             elif t == NPY_CDOUBLE:     f[0] = 90; f[1] = 100; f += 1 # Zd
   *             elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
   */
        __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_CFLOAT); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 896, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 896, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 896, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 90;
          (__pyx_v_f[1]) = 0x66;
          __pyx_v_f = (__pyx_v_f + 1);
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":897
   *             elif t == NPY_LONGDOUBLE:  f[0] = 103 #"g"
   *             elif t == NPY_CFLOAT:      f[0] = 90; f[1] = 102; f += 1 # Zf
   *             elif t == NPY_CDOUBLE:     f[0] = 90; f[1] = 100; f += 1 # Zd             # <<<<<<<<<<<<<<
   *             elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
   *             elif t == NPY_OBJECT:      f[0] = 79 #"O"
   */
        __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_CDOUBLE); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 897, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 897, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 897, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 90;
          (__pyx_v_f[1]) = 0x64;
          __pyx_v_f = (__pyx_v_f + 1);
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":898
   *             elif t == NPY_CFLOAT:      f[0] = 90; f[1] = 102; f += 1 # Zf
   *             elif t == NPY_CDOUBLE:     f[0] = 90; f[1] = 100; f += 1 # Zd
   *             elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg             # <<<<<<<<<<<<<<
   *             elif t == NPY_OBJECT:      f[0] = 79 #"O"
   *             else:
   */
        __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_CLONGDOUBLE); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 898, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 898, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 898, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        if (__pyx_t_6) {
          (__pyx_v_f[0]) = 90;
          (__pyx_v_f[1]) = 0x67;
          __pyx_v_f = (__pyx_v_f + 1);
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":899
   *             elif t == NPY_CDOUBLE:     f[0] = 90; f[1] = 100; f += 1 # Zd
   *             elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
   *             elif t == NPY_OBJECT:      f[0] = 79 #"O"             # <<<<<<<<<<<<<<
   *             else:
   *                 raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
   */
        __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_OBJECT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 899, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 899, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 899, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        if (likely(__pyx_t_6)) {
          (__pyx_v_f[0]) = 79;
          goto __pyx_L15;
        }
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":901
   *             elif t == NPY_OBJECT:      f[0] = 79 #"O"
   *             else:
   *                 raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)             # <<<<<<<<<<<<<<
   *             f += 1
   *         else:
   */
        /*else*/ {
          __pyx_t_3 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_v_t); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 901, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_3);
          __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 901, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_4);
          __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
          __Pyx_Raise(__pyx_t_4, 0, 0, 0);
          __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
          __PYX_ERR(1, 901, __pyx_L1_error)
        }
        __pyx_L15:;
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":902
   *             else:
   *                 raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
   *             f += 1             # <<<<<<<<<<<<<<
   *         else:
   *             # Cython ignores struct boundary information ("T{...}"),
   */
        __pyx_v_f = (__pyx_v_f + 1);
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":877
   *         offset[0] += child.itemsize
   * 
   *         if not PyDataType_HASFIELDS(child):             # <<<<<<<<<<<<<<
   *             t = child.type_num
   *             if end - f < 5:
   */
        goto __pyx_L13;
      }
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":906
   *             # Cython ignores struct boundary information ("T{...}"),
   *             # so don't output it
   *             f = _util_dtypestring(child, f, end, offset)             # <<<<<<<<<<<<<<
   *     return f
   * 
   */
      /*else*/ {
        __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_child, __pyx_v_f, __pyx_v_end, __pyx_v_offset); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 906, __pyx_L1_error)
        __pyx_v_f = __pyx_t_9;
      }
      __pyx_L13:;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":851
   *     cdef tuple fields
   * 
   *     for childname in descr.names:             # <<<<<<<<<<<<<<
   *         fields = descr.fields[childname]
   *         child, new_offset = fields
   */
    }
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":907
   *             # so don't output it
   *             f = _util_dtypestring(child, f, end, offset)
   *     return f             # <<<<<<<<<<<<<<
   * 
   * 
   */
    __pyx_r = __pyx_v_f;
    goto __pyx_L0;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":842
   *         return ()
   * 
   * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL:             # <<<<<<<<<<<<<<
   *     # Recursive utility function used in __getbuffer__ to get format
   *     # string. The new location in the format string is returned.
   */
  
    /* function exit code */
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_XDECREF(__pyx_t_3);
    __Pyx_XDECREF(__pyx_t_4);
    __Pyx_AddTraceback("numpy._util_dtypestring", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = NULL;
    __pyx_L0:;
    __Pyx_XDECREF((PyObject *)__pyx_v_child);
    __Pyx_XDECREF(__pyx_v_fields);
    __Pyx_XDECREF(__pyx_v_childname);
    __Pyx_XDECREF(__pyx_v_new_offset);
    __Pyx_XDECREF(__pyx_v_t);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1022
   *     int _import_umath() except -1
   * 
   * cdef inline void set_array_base(ndarray arr, object base):             # <<<<<<<<<<<<<<
   *     Py_INCREF(base) # important to do this before stealing the reference below!
   *     PyArray_SetBaseObject(arr, base)
   */
  
  static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_arr, PyObject *__pyx_v_base) {
    __Pyx_RefNannyDeclarations
    __Pyx_RefNannySetupContext("set_array_base", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1023
   * 
   * cdef inline void set_array_base(ndarray arr, object base):
   *     Py_INCREF(base) # important to do this before stealing the reference below!             # <<<<<<<<<<<<<<
   *     PyArray_SetBaseObject(arr, base)
   * 
   */
    Py_INCREF(__pyx_v_base);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1024
   * cdef inline void set_array_base(ndarray arr, object base):
   *     Py_INCREF(base) # important to do this before stealing the reference below!
   *     PyArray_SetBaseObject(arr, base)             # <<<<<<<<<<<<<<
   * 
   * cdef inline object get_array_base(ndarray arr):
   */
    (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base));
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1022
   *     int _import_umath() except -1
   * 
   * cdef inline void set_array_base(ndarray arr, object base):             # <<<<<<<<<<<<<<
   *     Py_INCREF(base) # important to do this before stealing the reference below!
   *     PyArray_SetBaseObject(arr, base)
   */
  
    /* function exit code */
    __Pyx_RefNannyFinishContext();
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1026
   *     PyArray_SetBaseObject(arr, base)
   * 
   * cdef inline object get_array_base(ndarray arr):             # <<<<<<<<<<<<<<
   *     base = PyArray_BASE(arr)
   *     if base is NULL:
   */
  
  static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__pyx_v_arr) {
    PyObject *__pyx_v_base;
    PyObject *__pyx_r = NULL;
    __Pyx_RefNannyDeclarations
    int __pyx_t_1;
    __Pyx_RefNannySetupContext("get_array_base", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1027
   * 
   * cdef inline object get_array_base(ndarray arr):
   *     base = PyArray_BASE(arr)             # <<<<<<<<<<<<<<
   *     if base is NULL:
   *         return None
   */
    __pyx_v_base = PyArray_BASE(__pyx_v_arr);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1028
   * cdef inline object get_array_base(ndarray arr):
   *     base = PyArray_BASE(arr)
   *     if base is NULL:             # <<<<<<<<<<<<<<
   *         return None
   *     return <object>base
   */
    __pyx_t_1 = ((__pyx_v_base == NULL) != 0);
    if (__pyx_t_1) {
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1029
   *     base = PyArray_BASE(arr)
   *     if base is NULL:
   *         return None             # <<<<<<<<<<<<<<
   *     return <object>base
   * 
   */
      __Pyx_XDECREF(__pyx_r);
      __pyx_r = Py_None; __Pyx_INCREF(Py_None);
      goto __pyx_L0;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1028
   * cdef inline object get_array_base(ndarray arr):
   *     base = PyArray_BASE(arr)
   *     if base is NULL:             # <<<<<<<<<<<<<<
   *         return None
   *     return <object>base
   */
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1030
   *     if base is NULL:
   *         return None
   *     return <object>base             # <<<<<<<<<<<<<<
   * 
   * # Versions of the import_* functions which are more suitable for
   */
    __Pyx_XDECREF(__pyx_r);
    __Pyx_INCREF(((PyObject *)__pyx_v_base));
    __pyx_r = ((PyObject *)__pyx_v_base);
    goto __pyx_L0;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1026
   *     PyArray_SetBaseObject(arr, base)
   * 
   * cdef inline object get_array_base(ndarray arr):             # <<<<<<<<<<<<<<
   *     base = PyArray_BASE(arr)
   *     if base is NULL:
   */
  
    /* function exit code */
    __pyx_L0:;
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1034
   * # Versions of the import_* functions which are more suitable for
   * # Cython code.
   * cdef inline int import_array() except -1:             # <<<<<<<<<<<<<<
   *     try:
   *         _import_array()
   */
  
  static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
    int __pyx_r;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    PyObject *__pyx_t_2 = NULL;
    PyObject *__pyx_t_3 = NULL;
    int __pyx_t_4;
    PyObject *__pyx_t_5 = NULL;
    PyObject *__pyx_t_6 = NULL;
    PyObject *__pyx_t_7 = NULL;
    PyObject *__pyx_t_8 = NULL;
    __Pyx_RefNannySetupContext("import_array", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1035
   * # Cython code.
   * cdef inline int import_array() except -1:
   *     try:             # <<<<<<<<<<<<<<
   *         _import_array()
   *     except Exception:
   */
    {
      __Pyx_PyThreadState_declare
      __Pyx_PyThreadState_assign
      __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3);
      __Pyx_XGOTREF(__pyx_t_1);
      __Pyx_XGOTREF(__pyx_t_2);
      __Pyx_XGOTREF(__pyx_t_3);
      /*try:*/ {
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1036
   * cdef inline int import_array() except -1:
   *     try:
   *         _import_array()             # <<<<<<<<<<<<<<
   *     except Exception:
   *         raise ImportError("numpy.core.multiarray failed to import")
   */
        __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1036, __pyx_L3_error)
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1035
   * # Cython code.
   * cdef inline int import_array() except -1:
   *     try:             # <<<<<<<<<<<<<<
   *         _import_array()
   *     except Exception:
   */
      }
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
      goto __pyx_L8_try_end;
      __pyx_L3_error:;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1037
   *     try:
   *         _import_array()
   *     except Exception:             # <<<<<<<<<<<<<<
   *         raise ImportError("numpy.core.multiarray failed to import")
   * 
   */
      __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0])));
      if (__pyx_t_4) {
        __Pyx_AddTraceback("numpy.import_array", __pyx_clineno, __pyx_lineno, __pyx_filename);
        if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 1037, __pyx_L5_except_error)
        __Pyx_GOTREF(__pyx_t_5);
        __Pyx_GOTREF(__pyx_t_6);
        __Pyx_GOTREF(__pyx_t_7);
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1038
   *         _import_array()
   *     except Exception:
   *         raise ImportError("numpy.core.multiarray failed to import")             # <<<<<<<<<<<<<<
   * 
   * cdef inline int import_umath() except -1:
   */
        __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__8, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1038, __pyx_L5_except_error)
        __Pyx_GOTREF(__pyx_t_8);
        __Pyx_Raise(__pyx_t_8, 0, 0, 0);
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        __PYX_ERR(1, 1038, __pyx_L5_except_error)
      }
      goto __pyx_L5_except_error;
      __pyx_L5_except_error:;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1035
   * # Cython code.
   * cdef inline int import_array() except -1:
   *     try:             # <<<<<<<<<<<<<<
   *         _import_array()
   *     except Exception:
   */
      __Pyx_XGIVEREF(__pyx_t_1);
      __Pyx_XGIVEREF(__pyx_t_2);
      __Pyx_XGIVEREF(__pyx_t_3);
      __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3);
      goto __pyx_L1_error;
      __pyx_L8_try_end:;
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1034
   * # Versions of the import_* functions which are more suitable for
   * # Cython code.
   * cdef inline int import_array() except -1:             # <<<<<<<<<<<<<<
   *     try:
   *         _import_array()
   */
  
    /* function exit code */
    __pyx_r = 0;
    goto __pyx_L0;
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_5);
    __Pyx_XDECREF(__pyx_t_6);
    __Pyx_XDECREF(__pyx_t_7);
    __Pyx_XDECREF(__pyx_t_8);
    __Pyx_AddTraceback("numpy.import_array", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = -1;
    __pyx_L0:;
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1040
   *         raise ImportError("numpy.core.multiarray failed to import")
   * 
   * cdef inline int import_umath() except -1:             # <<<<<<<<<<<<<<
   *     try:
   *         _import_umath()
   */
  
  static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
    int __pyx_r;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    PyObject *__pyx_t_2 = NULL;
    PyObject *__pyx_t_3 = NULL;
    int __pyx_t_4;
    PyObject *__pyx_t_5 = NULL;
    PyObject *__pyx_t_6 = NULL;
    PyObject *__pyx_t_7 = NULL;
    PyObject *__pyx_t_8 = NULL;
    __Pyx_RefNannySetupContext("import_umath", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1041
   * 
   * cdef inline int import_umath() except -1:
   *     try:             # <<<<<<<<<<<<<<
   *         _import_umath()
   *     except Exception:
   */
    {
      __Pyx_PyThreadState_declare
      __Pyx_PyThreadState_assign
      __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3);
      __Pyx_XGOTREF(__pyx_t_1);
      __Pyx_XGOTREF(__pyx_t_2);
      __Pyx_XGOTREF(__pyx_t_3);
      /*try:*/ {
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1042
   * cdef inline int import_umath() except -1:
   *     try:
   *         _import_umath()             # <<<<<<<<<<<<<<
   *     except Exception:
   *         raise ImportError("numpy.core.umath failed to import")
   */
        __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1042, __pyx_L3_error)
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1041
   * 
   * cdef inline int import_umath() except -1:
   *     try:             # <<<<<<<<<<<<<<
   *         _import_umath()
   *     except Exception:
   */
      }
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
      goto __pyx_L8_try_end;
      __pyx_L3_error:;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1043
   *     try:
   *         _import_umath()
   *     except Exception:             # <<<<<<<<<<<<<<
   *         raise ImportError("numpy.core.umath failed to import")
   * 
   */
      __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0])));
      if (__pyx_t_4) {
        __Pyx_AddTraceback("numpy.import_umath", __pyx_clineno, __pyx_lineno, __pyx_filename);
        if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 1043, __pyx_L5_except_error)
        __Pyx_GOTREF(__pyx_t_5);
        __Pyx_GOTREF(__pyx_t_6);
        __Pyx_GOTREF(__pyx_t_7);
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1044
   *         _import_umath()
   *     except Exception:
   *         raise ImportError("numpy.core.umath failed to import")             # <<<<<<<<<<<<<<
   * 
   * cdef inline int import_ufunc() except -1:
   */
        __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__9, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1044, __pyx_L5_except_error)
        __Pyx_GOTREF(__pyx_t_8);
        __Pyx_Raise(__pyx_t_8, 0, 0, 0);
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        __PYX_ERR(1, 1044, __pyx_L5_except_error)
      }
      goto __pyx_L5_except_error;
      __pyx_L5_except_error:;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1041
   * 
   * cdef inline int import_umath() except -1:
   *     try:             # <<<<<<<<<<<<<<
   *         _import_umath()
   *     except Exception:
   */
      __Pyx_XGIVEREF(__pyx_t_1);
      __Pyx_XGIVEREF(__pyx_t_2);
      __Pyx_XGIVEREF(__pyx_t_3);
      __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3);
      goto __pyx_L1_error;
      __pyx_L8_try_end:;
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1040
   *         raise ImportError("numpy.core.multiarray failed to import")
   * 
   * cdef inline int import_umath() except -1:             # <<<<<<<<<<<<<<
   *     try:
   *         _import_umath()
   */
  
    /* function exit code */
    __pyx_r = 0;
    goto __pyx_L0;
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_5);
    __Pyx_XDECREF(__pyx_t_6);
    __Pyx_XDECREF(__pyx_t_7);
    __Pyx_XDECREF(__pyx_t_8);
    __Pyx_AddTraceback("numpy.import_umath", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = -1;
    __pyx_L0:;
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1046
   *         raise ImportError("numpy.core.umath failed to import")
   * 
   * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
   *     try:
   *         _import_umath()
   */
  
  static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
    int __pyx_r;
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    PyObject *__pyx_t_2 = NULL;
    PyObject *__pyx_t_3 = NULL;
    int __pyx_t_4;
    PyObject *__pyx_t_5 = NULL;
    PyObject *__pyx_t_6 = NULL;
    PyObject *__pyx_t_7 = NULL;
    PyObject *__pyx_t_8 = NULL;
    __Pyx_RefNannySetupContext("import_ufunc", 0);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1047
   * 
   * cdef inline int import_ufunc() except -1:
   *     try:             # <<<<<<<<<<<<<<
   *         _import_umath()
   *     except Exception:
   */
    {
      __Pyx_PyThreadState_declare
      __Pyx_PyThreadState_assign
      __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3);
      __Pyx_XGOTREF(__pyx_t_1);
      __Pyx_XGOTREF(__pyx_t_2);
      __Pyx_XGOTREF(__pyx_t_3);
      /*try:*/ {
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1048
   * cdef inline int import_ufunc() except -1:
   *     try:
   *         _import_umath()             # <<<<<<<<<<<<<<
   *     except Exception:
   *         raise ImportError("numpy.core.umath failed to import")
   */
        __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1048, __pyx_L3_error)
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1047
   * 
   * cdef inline int import_ufunc() except -1:
   *     try:             # <<<<<<<<<<<<<<
   *         _import_umath()
   *     except Exception:
   */
      }
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
      goto __pyx_L8_try_end;
      __pyx_L3_error:;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1049
   *     try:
   *         _import_umath()
   *     except Exception:             # <<<<<<<<<<<<<<
   *         raise ImportError("numpy.core.umath failed to import")
   */
      __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0])));
      if (__pyx_t_4) {
        __Pyx_AddTraceback("numpy.import_ufunc", __pyx_clineno, __pyx_lineno, __pyx_filename);
        if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 1049, __pyx_L5_except_error)
        __Pyx_GOTREF(__pyx_t_5);
        __Pyx_GOTREF(__pyx_t_6);
        __Pyx_GOTREF(__pyx_t_7);
  
        /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1050
   *         _import_umath()
   *     except Exception:
   *         raise ImportError("numpy.core.umath failed to import")             # <<<<<<<<<<<<<<
   */
        __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__9, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1050, __pyx_L5_except_error)
        __Pyx_GOTREF(__pyx_t_8);
        __Pyx_Raise(__pyx_t_8, 0, 0, 0);
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        __PYX_ERR(1, 1050, __pyx_L5_except_error)
      }
      goto __pyx_L5_except_error;
      __pyx_L5_except_error:;
  
      /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1047
   * 
   * cdef inline int import_ufunc() except -1:
   *     try:             # <<<<<<<<<<<<<<
   *         _import_umath()
   *     except Exception:
   */
      __Pyx_XGIVEREF(__pyx_t_1);
      __Pyx_XGIVEREF(__pyx_t_2);
      __Pyx_XGIVEREF(__pyx_t_3);
      __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3);
      goto __pyx_L1_error;
      __pyx_L8_try_end:;
    }
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1046
   *         raise ImportError("numpy.core.umath failed to import")
   * 
   * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
   *     try:
   *         _import_umath()
   */
  
    /* function exit code */
    __pyx_r = 0;
    goto __pyx_L0;
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_5);
    __Pyx_XDECREF(__pyx_t_6);
    __Pyx_XDECREF(__pyx_t_7);
    __Pyx_XDECREF(__pyx_t_8);
    __Pyx_AddTraceback("numpy.import_ufunc", __pyx_clineno, __pyx_lineno, __pyx_filename);
    __pyx_r = -1;
    __pyx_L0:;
    __Pyx_RefNannyFinishContext();
    return __pyx_r;
  }
  
  static PyMethodDef __pyx_methods[] = {
    {0, 0, 0, 0}
  };
  
  #if PY_MAJOR_VERSION >= 3
  #if CYTHON_PEP489_MULTI_PHASE_INIT
  static PyObject* __pyx_pymod_create(PyObject *spec, PyModuleDef *def); /*proto*/
  static int __pyx_pymod_exec_doc2vec_inner(PyObject* module); /*proto*/
  static PyModuleDef_Slot __pyx_moduledef_slots[] = {
    {Py_mod_create, (void*)__pyx_pymod_create},
    {Py_mod_exec, (void*)__pyx_pymod_exec_doc2vec_inner},
    {0, NULL}
  };
  #endif
  
  static struct PyModuleDef __pyx_moduledef = {
      PyModuleDef_HEAD_INIT,
      "doc2vec_inner",
      __pyx_k_Optimized_cython_functions_for_t, /* m_doc */
    #if CYTHON_PEP489_MULTI_PHASE_INIT
      0, /* m_size */
    #else
      -1, /* m_size */
    #endif
      __pyx_methods /* m_methods */,
    #if CYTHON_PEP489_MULTI_PHASE_INIT
      __pyx_moduledef_slots, /* m_slots */
    #else
      NULL, /* m_reload */
    #endif
      NULL, /* m_traverse */
      NULL, /* m_clear */
      NULL /* m_free */
  };
  #endif
  #ifndef CYTHON_SMALL_CODE
  #if defined(__clang__)
      #define CYTHON_SMALL_CODE
  #elif defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 3))
      #define CYTHON_SMALL_CODE __attribute__((cold))
  #else
      #define CYTHON_SMALL_CODE
  #endif
  #endif
  
  static __Pyx_StringTabEntry __pyx_string_tab[] = {
    {&__pyx_kp_s_, __pyx_k_, sizeof(__pyx_k_), 0, 0, 1, 0},
    {&__pyx_kp_u_Format_string_allocated_too_shor, __pyx_k_Format_string_allocated_too_shor, sizeof(__pyx_k_Format_string_allocated_too_shor), 0, 1, 0, 0},
    {&__pyx_kp_u_Format_string_allocated_too_shor_2, __pyx_k_Format_string_allocated_too_shor_2, sizeof(__pyx_k_Format_string_allocated_too_shor_2), 0, 1, 0, 0},
    {&__pyx_n_s_ImportError, __pyx_k_ImportError, sizeof(__pyx_k_ImportError), 0, 0, 1, 1},
    {&__pyx_kp_u_Non_native_byte_order_not_suppor, __pyx_k_Non_native_byte_order_not_suppor, sizeof(__pyx_k_Non_native_byte_order_not_suppor), 0, 1, 0, 0},
    {&__pyx_n_s_REAL, __pyx_k_REAL, sizeof(__pyx_k_REAL), 0, 0, 1, 1},
    {&__pyx_n_s_RuntimeError, __pyx_k_RuntimeError, sizeof(__pyx_k_RuntimeError), 0, 0, 1, 1},
    {&__pyx_n_s_ValueError, __pyx_k_ValueError, sizeof(__pyx_k_ValueError), 0, 0, 1, 1},
    {&__pyx_n_s__10, __pyx_k__10, sizeof(__pyx_k__10), 0, 0, 1, 1},
    {&__pyx_n_s_alpha, __pyx_k_alpha, sizeof(__pyx_k_alpha), 0, 0, 1, 1},
    {&__pyx_n_s_c, __pyx_k_c, sizeof(__pyx_k_c), 0, 0, 1, 1},
    {&__pyx_n_s_cbow_mean, __pyx_k_cbow_mean, sizeof(__pyx_k_cbow_mean), 0, 0, 1, 1},
    {&__pyx_n_s_cline_in_traceback, __pyx_k_cline_in_traceback, sizeof(__pyx_k_cline_in_traceback), 0, 0, 1, 1},
    {&__pyx_n_s_code, __pyx_k_code, sizeof(__pyx_k_code), 0, 0, 1, 1},
    {&__pyx_n_s_count, __pyx_k_count, sizeof(__pyx_k_count), 0, 0, 1, 1},
    {&__pyx_n_s_cum_table, __pyx_k_cum_table, sizeof(__pyx_k_cum_table), 0, 0, 1, 1},
    {&__pyx_n_s_dm_tag_count, __pyx_k_dm_tag_count, sizeof(__pyx_k_dm_tag_count), 0, 0, 1, 1},
    {&__pyx_n_s_doc_words, __pyx_k_doc_words, sizeof(__pyx_k_doc_words), 0, 0, 1, 1},
    {&__pyx_n_s_doctag_indexes, __pyx_k_doctag_indexes, sizeof(__pyx_k_doctag_indexes), 0, 0, 1, 1},
    {&__pyx_n_s_doctag_locks, __pyx_k_doctag_locks, sizeof(__pyx_k_doctag_locks), 0, 0, 1, 1},
    {&__pyx_n_s_doctag_vectors, __pyx_k_doctag_vectors, sizeof(__pyx_k_doctag_vectors), 0, 0, 1, 1},
    {&__pyx_n_s_docvecs, __pyx_k_docvecs, sizeof(__pyx_k_docvecs), 0, 0, 1, 1},
    {&__pyx_n_s_dtype, __pyx_k_dtype, sizeof(__pyx_k_dtype), 0, 0, 1, 1},
    {&__pyx_n_s_enumerate, __pyx_k_enumerate, sizeof(__pyx_k_enumerate), 0, 0, 1, 1},
    {&__pyx_n_s_fblas, __pyx_k_fblas, sizeof(__pyx_k_fblas), 0, 0, 1, 1},
    {&__pyx_n_s_float32, __pyx_k_float32, sizeof(__pyx_k_float32), 0, 0, 1, 1},
    {&__pyx_n_s_gensim_models_doc2vec_inner, __pyx_k_gensim_models_doc2vec_inner, sizeof(__pyx_k_gensim_models_doc2vec_inner), 0, 0, 1, 1},
    {&__pyx_kp_s_gensim_models_doc2vec_inner_pyx, __pyx_k_gensim_models_doc2vec_inner_pyx, sizeof(__pyx_k_gensim_models_doc2vec_inner_pyx), 0, 0, 1, 0},
    {&__pyx_n_s_hs, __pyx_k_hs, sizeof(__pyx_k_hs), 0, 0, 1, 1},
    {&__pyx_n_s_i, __pyx_k_i, sizeof(__pyx_k_i), 0, 0, 1, 1},
    {&__pyx_n_s_import, __pyx_k_import, sizeof(__pyx_k_import), 0, 0, 1, 1},
    {&__pyx_n_s_index, __pyx_k_index, sizeof(__pyx_k_index), 0, 0, 1, 1},
    {&__pyx_n_s_inv_count, __pyx_k_inv_count, sizeof(__pyx_k_inv_count), 0, 0, 1, 1},
    {&__pyx_n_s_item, __pyx_k_item, sizeof(__pyx_k_item), 0, 0, 1, 1},
    {&__pyx_n_s_j, __pyx_k_j, sizeof(__pyx_k_j), 0, 0, 1, 1},
    {&__pyx_n_s_k, __pyx_k_k, sizeof(__pyx_k_k), 0, 0, 1, 1},
    {&__pyx_n_s_layer1_size, __pyx_k_layer1_size, sizeof(__pyx_k_layer1_size), 0, 0, 1, 1},
    {&__pyx_n_s_learn_doctags, __pyx_k_learn_doctags, sizeof(__pyx_k_learn_doctags), 0, 0, 1, 1},
    {&__pyx_n_s_learn_hidden, __pyx_k_learn_hidden, sizeof(__pyx_k_learn_hidden), 0, 0, 1, 1},
    {&__pyx_n_s_learn_words, __pyx_k_learn_words, sizeof(__pyx_k_learn_words), 0, 0, 1, 1},
    {&__pyx_n_s_m, __pyx_k_m, sizeof(__pyx_k_m), 0, 0, 1, 1},
    {&__pyx_n_s_main, __pyx_k_main, sizeof(__pyx_k_main), 0, 0, 1, 1},
    {&__pyx_n_s_model, __pyx_k_model, sizeof(__pyx_k_model), 0, 0, 1, 1},
    {&__pyx_n_s_n, __pyx_k_n, sizeof(__pyx_k_n), 0, 0, 1, 1},
    {&__pyx_n_s_name, __pyx_k_name, sizeof(__pyx_k_name), 0, 0, 1, 1},
    {&__pyx_kp_u_ndarray_is_not_C_contiguous, __pyx_k_ndarray_is_not_C_contiguous, sizeof(__pyx_k_ndarray_is_not_C_contiguous), 0, 1, 0, 0},
    {&__pyx_kp_u_ndarray_is_not_Fortran_contiguou, __pyx_k_ndarray_is_not_Fortran_contiguou, sizeof(__pyx_k_ndarray_is_not_Fortran_contiguou), 0, 1, 0, 0},
    {&__pyx_n_s_negative, __pyx_k_negative, sizeof(__pyx_k_negative), 0, 0, 1, 1},
    {&__pyx_n_s_neu1, __pyx_k_neu1, sizeof(__pyx_k_neu1), 0, 0, 1, 1},
    {&__pyx_n_s_np, __pyx_k_np, sizeof(__pyx_k_np), 0, 0, 1, 1},
    {&__pyx_n_s_numpy, __pyx_k_numpy, sizeof(__pyx_k_numpy), 0, 0, 1, 1},
    {&__pyx_kp_s_numpy_core_multiarray_failed_to, __pyx_k_numpy_core_multiarray_failed_to, sizeof(__pyx_k_numpy_core_multiarray_failed_to), 0, 0, 1, 0},
    {&__pyx_kp_s_numpy_core_umath_failed_to_impor, __pyx_k_numpy_core_umath_failed_to_impor, sizeof(__pyx_k_numpy_core_umath_failed_to_impor), 0, 0, 1, 0},
    {&__pyx_n_s_point, __pyx_k_point, sizeof(__pyx_k_point), 0, 0, 1, 1},
    {&__pyx_n_s_predict_word, __pyx_k_predict_word, sizeof(__pyx_k_predict_word), 0, 0, 1, 1},
    {&__pyx_n_s_randint, __pyx_k_randint, sizeof(__pyx_k_randint), 0, 0, 1, 1},
    {&__pyx_n_s_random, __pyx_k_random, sizeof(__pyx_k_random), 0, 0, 1, 1},
    {&__pyx_n_s_range, __pyx_k_range, sizeof(__pyx_k_range), 0, 0, 1, 1},
    {&__pyx_n_s_result, __pyx_k_result, sizeof(__pyx_k_result), 0, 0, 1, 1},
    {&__pyx_n_s_sample, __pyx_k_sample, sizeof(__pyx_k_sample), 0, 0, 1, 1},
    {&__pyx_n_s_sample_int, __pyx_k_sample_int, sizeof(__pyx_k_sample_int), 0, 0, 1, 1},
    {&__pyx_n_s_scipy_linalg_blas, __pyx_k_scipy_linalg_blas, sizeof(__pyx_k_scipy_linalg_blas), 0, 0, 1, 1},
    {&__pyx_n_s_syn1, __pyx_k_syn1, sizeof(__pyx_k_syn1), 0, 0, 1, 1},
    {&__pyx_n_s_syn1neg, __pyx_k_syn1neg, sizeof(__pyx_k_syn1neg), 0, 0, 1, 1},
    {&__pyx_n_s_test, __pyx_k_test, sizeof(__pyx_k_test), 0, 0, 1, 1},
    {&__pyx_n_s_token, __pyx_k_token, sizeof(__pyx_k_token), 0, 0, 1, 1},
    {&__pyx_n_s_train_document_dbow, __pyx_k_train_document_dbow, sizeof(__pyx_k_train_document_dbow), 0, 0, 1, 1},
    {&__pyx_n_s_train_document_dm, __pyx_k_train_document_dm, sizeof(__pyx_k_train_document_dm), 0, 0, 1, 1},
    {&__pyx_n_s_train_document_dm_concat, __pyx_k_train_document_dm_concat, sizeof(__pyx_k_train_document_dm_concat), 0, 0, 1, 1},
    {&__pyx_n_s_train_words, __pyx_k_train_words, sizeof(__pyx_k_train_words), 0, 0, 1, 1},
    {&__pyx_n_s_trainables, __pyx_k_trainables, sizeof(__pyx_k_trainables), 0, 0, 1, 1},
    {&__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_k_unknown_dtype_code_in_numpy_pxd, sizeof(__pyx_k_unknown_dtype_code_in_numpy_pxd), 0, 1, 0, 0},
    {&__pyx_n_s_vector_size, __pyx_k_vector_size, sizeof(__pyx_k_vector_size), 0, 0, 1, 1},
    {&__pyx_n_s_vectors, __pyx_k_vectors, sizeof(__pyx_k_vectors), 0, 0, 1, 1},
    {&__pyx_n_s_vectors_docs, __pyx_k_vectors_docs, sizeof(__pyx_k_vectors_docs), 0, 0, 1, 1},
    {&__pyx_n_s_vectors_docs_lockf, __pyx_k_vectors_docs_lockf, sizeof(__pyx_k_vectors_docs_lockf), 0, 0, 1, 1},
    {&__pyx_n_s_vectors_lockf, __pyx_k_vectors_lockf, sizeof(__pyx_k_vectors_lockf), 0, 0, 1, 1},
    {&__pyx_n_s_vlookup, __pyx_k_vlookup, sizeof(__pyx_k_vlookup), 0, 0, 1, 1},
    {&__pyx_n_s_vocab, __pyx_k_vocab, sizeof(__pyx_k_vocab), 0, 0, 1, 1},
    {&__pyx_n_s_vocabulary, __pyx_k_vocabulary, sizeof(__pyx_k_vocabulary), 0, 0, 1, 1},
    {&__pyx_n_s_window, __pyx_k_window, sizeof(__pyx_k_window), 0, 0, 1, 1},
    {&__pyx_n_s_word_locks, __pyx_k_word_locks, sizeof(__pyx_k_word_locks), 0, 0, 1, 1},
    {&__pyx_n_s_word_vectors, __pyx_k_word_vectors, sizeof(__pyx_k_word_vectors), 0, 0, 1, 1},
    {&__pyx_n_s_work, __pyx_k_work, sizeof(__pyx_k_work), 0, 0, 1, 1},
    {&__pyx_n_s_workers, __pyx_k_workers, sizeof(__pyx_k_workers), 0, 0, 1, 1},
    {&__pyx_n_s_wv, __pyx_k_wv, sizeof(__pyx_k_wv), 0, 0, 1, 1},
    {&__pyx_n_s_zeros, __pyx_k_zeros, sizeof(__pyx_k_zeros), 0, 0, 1, 1},
    {0, 0, 0, 0, 0, 0, 0}
  };
  static CYTHON_SMALL_CODE int __Pyx_InitCachedBuiltins(void) {
    __pyx_builtin_ImportError = __Pyx_GetBuiltinName(__pyx_n_s_ImportError); if (!__pyx_builtin_ImportError) __PYX_ERR(0, 23, __pyx_L1_error)
    __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_range) __PYX_ERR(0, 48, __pyx_L1_error)
    __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s_enumerate); if (!__pyx_builtin_enumerate) __PYX_ERR(0, 359, __pyx_L1_error)
    __pyx_builtin_ValueError = __Pyx_GetBuiltinName(__pyx_n_s_ValueError); if (!__pyx_builtin_ValueError) __PYX_ERR(1, 272, __pyx_L1_error)
    __pyx_builtin_RuntimeError = __Pyx_GetBuiltinName(__pyx_n_s_RuntimeError); if (!__pyx_builtin_RuntimeError) __PYX_ERR(1, 856, __pyx_L1_error)
    return 0;
    __pyx_L1_error:;
    return -1;
  }
  
  static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) {
    __Pyx_RefNannyDeclarations
    __Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0);
  
    /* "gensim/models/doc2vec_inner.pyx":268
   *         c[0].cum_table_len = len(model.vocabulary.cum_table)
   *     if c[0].negative or c[0].sample:
   *         c[0].next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)             # <<<<<<<<<<<<<<
   * 
   *     # convert Python structures to primitive types, so we can release the GIL
   */
    __pyx_tuple__2 = PyTuple_Pack(2, __pyx_int_0, __pyx_int_16777216); if (unlikely(!__pyx_tuple__2)) __PYX_ERR(0, 268, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_tuple__2);
    __Pyx_GIVEREF(__pyx_tuple__2);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":272
   *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
   *                 and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)):
   *                 raise ValueError(u"ndarray is not C contiguous")             # <<<<<<<<<<<<<<
   * 
   *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
   */
    __pyx_tuple__3 = PyTuple_Pack(1, __pyx_kp_u_ndarray_is_not_C_contiguous); if (unlikely(!__pyx_tuple__3)) __PYX_ERR(1, 272, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_tuple__3);
    __Pyx_GIVEREF(__pyx_tuple__3);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":276
   *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
   *                 and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)):
   *                 raise ValueError(u"ndarray is not Fortran contiguous")             # <<<<<<<<<<<<<<
   * 
   *             info.buf = PyArray_DATA(self)
   */
    __pyx_tuple__4 = PyTuple_Pack(1, __pyx_kp_u_ndarray_is_not_Fortran_contiguou); if (unlikely(!__pyx_tuple__4)) __PYX_ERR(1, 276, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_tuple__4);
    __Pyx_GIVEREF(__pyx_tuple__4);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":306
   *                 if ((descr.byteorder == c'>' and little_endian) or
   *                     (descr.byteorder == c'<' and not little_endian)):
   *                     raise ValueError(u"Non-native byte order not supported")             # <<<<<<<<<<<<<<
   *                 if   t == NPY_BYTE:        f = "b"
   *                 elif t == NPY_UBYTE:       f = "B"
   */
    __pyx_tuple__5 = PyTuple_Pack(1, __pyx_kp_u_Non_native_byte_order_not_suppor); if (unlikely(!__pyx_tuple__5)) __PYX_ERR(1, 306, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_tuple__5);
    __Pyx_GIVEREF(__pyx_tuple__5);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":856
   * 
   *         if (end - f) - <int>(new_offset - offset[0]) < 15:
   *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")             # <<<<<<<<<<<<<<
   * 
   *         if ((child.byteorder == c'>' and little_endian) or
   */
    __pyx_tuple__6 = PyTuple_Pack(1, __pyx_kp_u_Format_string_allocated_too_shor); if (unlikely(!__pyx_tuple__6)) __PYX_ERR(1, 856, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_tuple__6);
    __Pyx_GIVEREF(__pyx_tuple__6);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":880
   *             t = child.type_num
   *             if end - f < 5:
   *                 raise RuntimeError(u"Format string allocated too short.")             # <<<<<<<<<<<<<<
   * 
   *             # Until ticket #99 is fixed, use integers to avoid warnings
   */
    __pyx_tuple__7 = PyTuple_Pack(1, __pyx_kp_u_Format_string_allocated_too_shor_2); if (unlikely(!__pyx_tuple__7)) __PYX_ERR(1, 880, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_tuple__7);
    __Pyx_GIVEREF(__pyx_tuple__7);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1038
   *         _import_array()
   *     except Exception:
   *         raise ImportError("numpy.core.multiarray failed to import")             # <<<<<<<<<<<<<<
   * 
   * cdef inline int import_umath() except -1:
   */
    __pyx_tuple__8 = PyTuple_Pack(1, __pyx_kp_s_numpy_core_multiarray_failed_to); if (unlikely(!__pyx_tuple__8)) __PYX_ERR(1, 1038, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_tuple__8);
    __Pyx_GIVEREF(__pyx_tuple__8);
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1044
   *         _import_umath()
   *     except Exception:
   *         raise ImportError("numpy.core.umath failed to import")             # <<<<<<<<<<<<<<
   * 
   * cdef inline int import_ufunc() except -1:
   */
    __pyx_tuple__9 = PyTuple_Pack(1, __pyx_kp_s_numpy_core_umath_failed_to_impor); if (unlikely(!__pyx_tuple__9)) __PYX_ERR(1, 1044, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_tuple__9);
    __Pyx_GIVEREF(__pyx_tuple__9);
  
    /* "gensim/models/doc2vec_inner.pyx":280
   * 
   * 
   * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,             # <<<<<<<<<<<<<<
   *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
   *                         word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
    __pyx_tuple__11 = PyTuple_Pack(22, __pyx_n_s_model, __pyx_n_s_doc_words, __pyx_n_s_doctag_indexes, __pyx_n_s_alpha, __pyx_n_s_work, __pyx_n_s_train_words, __pyx_n_s_learn_doctags, __pyx_n_s_learn_words, __pyx_n_s_learn_hidden, __pyx_n_s_word_vectors, __pyx_n_s_word_locks, __pyx_n_s_doctag_vectors, __pyx_n_s_doctag_locks, __pyx_n_s_c, __pyx_n_s_i, __pyx_n_s_j, __pyx_n_s_result, __pyx_n_s_vlookup, __pyx_n_s_token, __pyx_n_s_predict_word, __pyx_n_s_item, __pyx_n_s_k); if (unlikely(!__pyx_tuple__11)) __PYX_ERR(0, 280, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_tuple__11);
    __Pyx_GIVEREF(__pyx_tuple__11);
    __pyx_codeobj__12 = (PyObject*)__Pyx_PyCode_New(13, 0, 22, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__11, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gensim_models_doc2vec_inner_pyx, __pyx_n_s_train_document_dbow, 280, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__12)) __PYX_ERR(0, 280, __pyx_L1_error)
  
    /* "gensim/models/doc2vec_inner.pyx":404
   * 
   * 
   * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
   *                       learn_doctags=True, learn_words=True, learn_hidden=True,
   *                       word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
    __pyx_tuple__13 = PyTuple_Pack(25, __pyx_n_s_model, __pyx_n_s_doc_words, __pyx_n_s_doctag_indexes, __pyx_n_s_alpha, __pyx_n_s_work, __pyx_n_s_neu1, __pyx_n_s_learn_doctags, __pyx_n_s_learn_words, __pyx_n_s_learn_hidden, __pyx_n_s_word_vectors, __pyx_n_s_word_locks, __pyx_n_s_doctag_vectors, __pyx_n_s_doctag_locks, __pyx_n_s_c, __pyx_n_s_count, __pyx_n_s_inv_count, __pyx_n_s_i, __pyx_n_s_j, __pyx_n_s_k, __pyx_n_s_m, __pyx_n_s_result, __pyx_n_s_vlookup, __pyx_n_s_token, __pyx_n_s_predict_word, __pyx_n_s_item); if (unlikely(!__pyx_tuple__13)) __PYX_ERR(0, 404, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_tuple__13);
    __Pyx_GIVEREF(__pyx_tuple__13);
    __pyx_codeobj__14 = (PyObject*)__Pyx_PyCode_New(13, 0, 25, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__13, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gensim_models_doc2vec_inner_pyx, __pyx_n_s_train_document_dm, 404, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__14)) __PYX_ERR(0, 404, __pyx_L1_error)
  
    /* "gensim/models/doc2vec_inner.pyx":544
   * 
   * 
   * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
   *                              learn_doctags=True, learn_words=True, learn_hidden=True,
   *                              word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
    __pyx_tuple__15 = PyTuple_Pack(23, __pyx_n_s_model, __pyx_n_s_doc_words, __pyx_n_s_doctag_indexes, __pyx_n_s_alpha, __pyx_n_s_work, __pyx_n_s_neu1, __pyx_n_s_learn_doctags, __pyx_n_s_learn_words, __pyx_n_s_learn_hidden, __pyx_n_s_word_vectors, __pyx_n_s_word_locks, __pyx_n_s_doctag_vectors, __pyx_n_s_doctag_locks, __pyx_n_s_c, __pyx_n_s_i, __pyx_n_s_j, __pyx_n_s_k, __pyx_n_s_m, __pyx_n_s_n, __pyx_n_s_result, __pyx_n_s_vlookup, __pyx_n_s_token, __pyx_n_s_predict_word); if (unlikely(!__pyx_tuple__15)) __PYX_ERR(0, 544, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_tuple__15);
    __Pyx_GIVEREF(__pyx_tuple__15);
    __pyx_codeobj__16 = (PyObject*)__Pyx_PyCode_New(13, 0, 23, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__15, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gensim_models_doc2vec_inner_pyx, __pyx_n_s_train_document_dm_concat, 544, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__16)) __PYX_ERR(0, 544, __pyx_L1_error)
    __Pyx_RefNannyFinishContext();
    return 0;
    __pyx_L1_error:;
    __Pyx_RefNannyFinishContext();
    return -1;
  }
  
  static CYTHON_SMALL_CODE int __Pyx_InitGlobals(void) {
    if (__Pyx_InitStrings(__pyx_string_tab) < 0) __PYX_ERR(0, 1, __pyx_L1_error);
    __pyx_int_0 = PyInt_FromLong(0); if (unlikely(!__pyx_int_0)) __PYX_ERR(0, 1, __pyx_L1_error)
    __pyx_int_16777216 = PyInt_FromLong(16777216L); if (unlikely(!__pyx_int_16777216)) __PYX_ERR(0, 1, __pyx_L1_error)
    return 0;
    __pyx_L1_error:;
    return -1;
  }
  
  static CYTHON_SMALL_CODE int __Pyx_modinit_global_init_code(void); /*proto*/
  static CYTHON_SMALL_CODE int __Pyx_modinit_variable_export_code(void); /*proto*/
  static CYTHON_SMALL_CODE int __Pyx_modinit_function_export_code(void); /*proto*/
  static CYTHON_SMALL_CODE int __Pyx_modinit_type_init_code(void); /*proto*/
  static CYTHON_SMALL_CODE int __Pyx_modinit_type_import_code(void); /*proto*/
  static CYTHON_SMALL_CODE int __Pyx_modinit_variable_import_code(void); /*proto*/
  static CYTHON_SMALL_CODE int __Pyx_modinit_function_import_code(void); /*proto*/
  
  static int __Pyx_modinit_global_init_code(void) {
    __Pyx_RefNannyDeclarations
    __Pyx_RefNannySetupContext("__Pyx_modinit_global_init_code", 0);
    /*--- Global init code ---*/
    __Pyx_RefNannyFinishContext();
    return 0;
  }
  
  static int __Pyx_modinit_variable_export_code(void) {
    __Pyx_RefNannyDeclarations
    __Pyx_RefNannySetupContext("__Pyx_modinit_variable_export_code", 0);
    /*--- Variable export code ---*/
    __Pyx_RefNannyFinishContext();
    return 0;
  }
  
  static int __Pyx_modinit_function_export_code(void) {
    __Pyx_RefNannyDeclarations
    __Pyx_RefNannySetupContext("__Pyx_modinit_function_export_code", 0);
    /*--- Function export code ---*/
    if (__Pyx_ExportFunction("fast_document_dbow_hs", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_hs, "void (__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ExportFunction("fast_document_dbow_neg", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg, "unsigned PY_LONG_LONG (int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, unsigned PY_LONG_LONG, int, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ExportFunction("fast_document_dm_hs", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_hs, "void (__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ExportFunction("fast_document_dm_neg", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_neg, "unsigned PY_LONG_LONG (int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ExportFunction("fast_document_dmc_hs", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_hs, "void (__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int const , int)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ExportFunction("fast_document_dmc_neg", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_neg, "unsigned PY_LONG_LONG (int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int const , int)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ExportFunction("init_d2v_config", (void (*)(void))__pyx_f_6gensim_6models_13doc2vec_inner_init_d2v_config, "PyObject *(struct __pyx_t_6gensim_6models_13doc2vec_inner_Doc2VecConfig *, PyObject *, PyObject *, PyObject *, PyObject *, PyObject *, struct __pyx_opt_args_6gensim_6models_13doc2vec_inner_init_d2v_config *__pyx_optional_args)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    __Pyx_RefNannyFinishContext();
    return 0;
    __pyx_L1_error:;
    __Pyx_RefNannyFinishContext();
    return -1;
  }
  
  static int __Pyx_modinit_type_init_code(void) {
    __Pyx_RefNannyDeclarations
    __Pyx_RefNannySetupContext("__Pyx_modinit_type_init_code", 0);
    /*--- Type init code ---*/
    __Pyx_RefNannyFinishContext();
    return 0;
  }
  
  static int __Pyx_modinit_type_import_code(void) {
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    __Pyx_RefNannySetupContext("__Pyx_modinit_type_import_code", 0);
    /*--- Type import code ---*/
    __pyx_t_1 = PyImport_ImportModule(__Pyx_BUILTIN_MODULE_NAME); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 9, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_ptype_7cpython_4type_type = __Pyx_ImportType(__pyx_t_1, __Pyx_BUILTIN_MODULE_NAME, "type", 
    #if defined(PYPY_VERSION_NUM) && PYPY_VERSION_NUM < 0x050B0000
    sizeof(PyTypeObject),
    #else
    sizeof(PyHeapTypeObject),
    #endif
    __Pyx_ImportType_CheckSize_Warn);
     if (!__pyx_ptype_7cpython_4type_type) __PYX_ERR(2, 9, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = PyImport_ImportModule("numpy"); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 206, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_ptype_5numpy_dtype = __Pyx_ImportType(__pyx_t_1, "numpy", "dtype", sizeof(PyArray_Descr), __Pyx_ImportType_CheckSize_Ignore);
     if (!__pyx_ptype_5numpy_dtype) __PYX_ERR(1, 206, __pyx_L1_error)
    __pyx_ptype_5numpy_flatiter = __Pyx_ImportType(__pyx_t_1, "numpy", "flatiter", sizeof(PyArrayIterObject), __Pyx_ImportType_CheckSize_Warn);
     if (!__pyx_ptype_5numpy_flatiter) __PYX_ERR(1, 229, __pyx_L1_error)
    __pyx_ptype_5numpy_broadcast = __Pyx_ImportType(__pyx_t_1, "numpy", "broadcast", sizeof(PyArrayMultiIterObject), __Pyx_ImportType_CheckSize_Warn);
     if (!__pyx_ptype_5numpy_broadcast) __PYX_ERR(1, 233, __pyx_L1_error)
    __pyx_ptype_5numpy_ndarray = __Pyx_ImportType(__pyx_t_1, "numpy", "ndarray", sizeof(PyArrayObject), __Pyx_ImportType_CheckSize_Ignore);
     if (!__pyx_ptype_5numpy_ndarray) __PYX_ERR(1, 242, __pyx_L1_error)
    __pyx_ptype_5numpy_ufunc = __Pyx_ImportType(__pyx_t_1, "numpy", "ufunc", sizeof(PyUFuncObject), __Pyx_ImportType_CheckSize_Warn);
     if (!__pyx_ptype_5numpy_ufunc) __PYX_ERR(1, 918, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_RefNannyFinishContext();
    return 0;
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_RefNannyFinishContext();
    return -1;
  }
  
  static int __Pyx_modinit_variable_import_code(void) {
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    __Pyx_RefNannySetupContext("__Pyx_modinit_variable_import_code", 0);
    /*--- Variable import code ---*/
    __pyx_t_1 = PyImport_ImportModule("gensim.models.word2vec_inner"); if (!__pyx_t_1) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ImportVoidPtr(__pyx_t_1, "scopy", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_scopy, "__pyx_t_6gensim_6models_14word2vec_inner_scopy_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ImportVoidPtr(__pyx_t_1, "saxpy", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_saxpy, "__pyx_t_6gensim_6models_14word2vec_inner_saxpy_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ImportVoidPtr(__pyx_t_1, "sdot", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_sdot, "__pyx_t_6gensim_6models_14word2vec_inner_sdot_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ImportVoidPtr(__pyx_t_1, "dsdot", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_dsdot, "__pyx_t_6gensim_6models_14word2vec_inner_dsdot_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ImportVoidPtr(__pyx_t_1, "snrm2", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_snrm2, "__pyx_t_6gensim_6models_14word2vec_inner_snrm2_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ImportVoidPtr(__pyx_t_1, "sscal", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_sscal, "__pyx_t_6gensim_6models_14word2vec_inner_sscal_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ImportVoidPtr(__pyx_t_1, "EXP_TABLE", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_EXP_TABLE, "__pyx_t_6gensim_6models_14word2vec_inner_REAL_t [0x3E8]") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ImportVoidPtr(__pyx_t_1, "our_dot", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_our_dot, "__pyx_t_6gensim_6models_14word2vec_inner_our_dot_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ImportVoidPtr(__pyx_t_1, "our_saxpy", (void **)&__pyx_vp_6gensim_6models_14word2vec_inner_our_saxpy, "__pyx_t_6gensim_6models_14word2vec_inner_our_saxpy_ptr") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    Py_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_RefNannyFinishContext();
    return 0;
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_RefNannyFinishContext();
    return -1;
  }
  
  static int __Pyx_modinit_function_import_code(void) {
    __Pyx_RefNannyDeclarations
    PyObject *__pyx_t_1 = NULL;
    __Pyx_RefNannySetupContext("__Pyx_modinit_function_import_code", 0);
    /*--- Function import code ---*/
    __pyx_t_1 = PyImport_ImportModule("gensim.models.word2vec_inner"); if (!__pyx_t_1) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ImportFunction(__pyx_t_1, "bisect_left", (void (**)(void))&__pyx_f_6gensim_6models_14word2vec_inner_bisect_left, "unsigned PY_LONG_LONG (__pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    if (__Pyx_ImportFunction(__pyx_t_1, "random_int32", (void (**)(void))&__pyx_f_6gensim_6models_14word2vec_inner_random_int32, "unsigned PY_LONG_LONG (unsigned PY_LONG_LONG *)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    Py_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_RefNannyFinishContext();
    return 0;
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_RefNannyFinishContext();
    return -1;
  }
  
  
  #if PY_MAJOR_VERSION < 3
  #ifdef CYTHON_NO_PYINIT_EXPORT
  #define __Pyx_PyMODINIT_FUNC void
  #else
  #define __Pyx_PyMODINIT_FUNC PyMODINIT_FUNC
  #endif
  #else
  #ifdef CYTHON_NO_PYINIT_EXPORT
  #define __Pyx_PyMODINIT_FUNC PyObject *
  #else
  #define __Pyx_PyMODINIT_FUNC PyMODINIT_FUNC
  #endif
  #endif
  
  
  #if PY_MAJOR_VERSION < 3
  __Pyx_PyMODINIT_FUNC initdoc2vec_inner(void) CYTHON_SMALL_CODE; /*proto*/
  __Pyx_PyMODINIT_FUNC initdoc2vec_inner(void)
  #else
  __Pyx_PyMODINIT_FUNC PyInit_doc2vec_inner(void) CYTHON_SMALL_CODE; /*proto*/
  __Pyx_PyMODINIT_FUNC PyInit_doc2vec_inner(void)
  #if CYTHON_PEP489_MULTI_PHASE_INIT
  {
    return PyModuleDef_Init(&__pyx_moduledef);
  }
  static CYTHON_SMALL_CODE int __Pyx_check_single_interpreter(void) {
      #if PY_VERSION_HEX >= 0x030700A1
      static PY_INT64_T main_interpreter_id = -1;
      PY_INT64_T current_id = PyInterpreterState_GetID(PyThreadState_Get()->interp);
      if (main_interpreter_id == -1) {
          main_interpreter_id = current_id;
          return (unlikely(current_id == -1)) ? -1 : 0;
      } else if (unlikely(main_interpreter_id != current_id))
      #else
      static PyInterpreterState *main_interpreter = NULL;
      PyInterpreterState *current_interpreter = PyThreadState_Get()->interp;
      if (!main_interpreter) {
          main_interpreter = current_interpreter;
      } else if (unlikely(main_interpreter != current_interpreter))
      #endif
      {
          PyErr_SetString(
              PyExc_ImportError,
              "Interpreter change detected - this module can only be loaded into one interpreter per process.");
          return -1;
      }
      return 0;
  }
  static CYTHON_SMALL_CODE int __Pyx_copy_spec_to_module(PyObject *spec, PyObject *moddict, const char* from_name, const char* to_name, int allow_none) {
      PyObject *value = PyObject_GetAttrString(spec, from_name);
      int result = 0;
      if (likely(value)) {
          if (allow_none || value != Py_None) {
              result = PyDict_SetItemString(moddict, to_name, value);
          }
          Py_DECREF(value);
      } else if (PyErr_ExceptionMatches(PyExc_AttributeError)) {
          PyErr_Clear();
      } else {
          result = -1;
      }
      return result;
  }
  static CYTHON_SMALL_CODE PyObject* __pyx_pymod_create(PyObject *spec, CYTHON_UNUSED PyModuleDef *def) {
      PyObject *module = NULL, *moddict, *modname;
      if (__Pyx_check_single_interpreter())
          return NULL;
      if (__pyx_m)
          return __Pyx_NewRef(__pyx_m);
      modname = PyObject_GetAttrString(spec, "name");
      if (unlikely(!modname)) goto bad;
      module = PyModule_NewObject(modname);
      Py_DECREF(modname);
      if (unlikely(!module)) goto bad;
      moddict = PyModule_GetDict(module);
      if (unlikely(!moddict)) goto bad;
      if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "loader", "__loader__", 1) < 0)) goto bad;
      if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "origin", "__file__", 1) < 0)) goto bad;
      if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "parent", "__package__", 1) < 0)) goto bad;
      if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "submodule_search_locations", "__path__", 0) < 0)) goto bad;
      return module;
  bad:
      Py_XDECREF(module);
      return NULL;
  }
  
  
  static CYTHON_SMALL_CODE int __pyx_pymod_exec_doc2vec_inner(PyObject *__pyx_pyinit_module)
  #endif
  #endif
  {
    PyObject *__pyx_t_1 = NULL;
    PyObject *__pyx_t_2 = NULL;
    PyObject *__pyx_t_3 = NULL;
    PyObject *__pyx_t_4 = NULL;
    PyObject *__pyx_t_5 = NULL;
    int __pyx_t_6;
    PyObject *__pyx_t_7 = NULL;
    PyObject *__pyx_t_8 = NULL;
    PyObject *__pyx_t_9 = NULL;
    __Pyx_RefNannyDeclarations
    #if CYTHON_PEP489_MULTI_PHASE_INIT
    if (__pyx_m) {
      if (__pyx_m == __pyx_pyinit_module) return 0;
      PyErr_SetString(PyExc_RuntimeError, "Module 'doc2vec_inner' has already been imported. Re-initialisation is not supported.");
      return -1;
    }
    #elif PY_MAJOR_VERSION >= 3
    if (__pyx_m) return __Pyx_NewRef(__pyx_m);
    #endif
    #if CYTHON_REFNANNY
  __Pyx_RefNanny = __Pyx_RefNannyImportAPI("refnanny");
  if (!__Pyx_RefNanny) {
    PyErr_Clear();
    __Pyx_RefNanny = __Pyx_RefNannyImportAPI("Cython.Runtime.refnanny");
    if (!__Pyx_RefNanny)
        Py_FatalError("failed to import 'refnanny' module");
  }
  #endif
    __Pyx_RefNannySetupContext("__Pyx_PyMODINIT_FUNC PyInit_doc2vec_inner(void)", 0);
    if (__Pyx_check_binary_version() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    #ifdef __Pxy_PyFrame_Initialize_Offsets
    __Pxy_PyFrame_Initialize_Offsets();
    #endif
    __pyx_empty_tuple = PyTuple_New(0); if (unlikely(!__pyx_empty_tuple)) __PYX_ERR(0, 1, __pyx_L1_error)
    __pyx_empty_bytes = PyBytes_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_bytes)) __PYX_ERR(0, 1, __pyx_L1_error)
    __pyx_empty_unicode = PyUnicode_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_unicode)) __PYX_ERR(0, 1, __pyx_L1_error)
    #ifdef __Pyx_CyFunction_USED
    if (__pyx_CyFunction_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    #endif
    #ifdef __Pyx_FusedFunction_USED
    if (__pyx_FusedFunction_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    #endif
    #ifdef __Pyx_Coroutine_USED
    if (__pyx_Coroutine_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    #endif
    #ifdef __Pyx_Generator_USED
    if (__pyx_Generator_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    #endif
    #ifdef __Pyx_AsyncGen_USED
    if (__pyx_AsyncGen_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    #endif
    #ifdef __Pyx_StopAsyncIteration_USED
    if (__pyx_StopAsyncIteration_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    #endif
    /*--- Library function declarations ---*/
    /*--- Threads initialization code ---*/
    #if defined(__PYX_FORCE_INIT_THREADS) && __PYX_FORCE_INIT_THREADS
    #ifdef WITH_THREAD /* Python build with threading support? */
    PyEval_InitThreads();
    #endif
    #endif
    /*--- Module creation code ---*/
    #if CYTHON_PEP489_MULTI_PHASE_INIT
    __pyx_m = __pyx_pyinit_module;
    Py_INCREF(__pyx_m);
    #else
    #if PY_MAJOR_VERSION < 3
    __pyx_m = Py_InitModule4("doc2vec_inner", __pyx_methods, __pyx_k_Optimized_cython_functions_for_t, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m);
    #else
    __pyx_m = PyModule_Create(&__pyx_moduledef);
    #endif
    if (unlikely(!__pyx_m)) __PYX_ERR(0, 1, __pyx_L1_error)
    #endif
    __pyx_d = PyModule_GetDict(__pyx_m); if (unlikely(!__pyx_d)) __PYX_ERR(0, 1, __pyx_L1_error)
    Py_INCREF(__pyx_d);
    __pyx_b = PyImport_AddModule(__Pyx_BUILTIN_MODULE_NAME); if (unlikely(!__pyx_b)) __PYX_ERR(0, 1, __pyx_L1_error)
    Py_INCREF(__pyx_b);
    __pyx_cython_runtime = PyImport_AddModule((char *) "cython_runtime"); if (unlikely(!__pyx_cython_runtime)) __PYX_ERR(0, 1, __pyx_L1_error)
    Py_INCREF(__pyx_cython_runtime);
    if (PyObject_SetAttrString(__pyx_m, "__builtins__", __pyx_b) < 0) __PYX_ERR(0, 1, __pyx_L1_error);
    /*--- Initialize various global constants etc. ---*/
    if (__Pyx_InitGlobals() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    #if PY_MAJOR_VERSION < 3 && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT)
    if (__Pyx_init_sys_getdefaultencoding_params() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    #endif
    if (__pyx_module_is_main_gensim__models__doc2vec_inner) {
      if (PyObject_SetAttr(__pyx_m, __pyx_n_s_name, __pyx_n_s_main) < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    }
    #if PY_MAJOR_VERSION >= 3
    {
      PyObject *modules = PyImport_GetModuleDict(); if (unlikely(!modules)) __PYX_ERR(0, 1, __pyx_L1_error)
      if (!PyDict_GetItemString(modules, "gensim.models.doc2vec_inner")) {
        if (unlikely(PyDict_SetItemString(modules, "gensim.models.doc2vec_inner", __pyx_m) < 0)) __PYX_ERR(0, 1, __pyx_L1_error)
      }
    }
    #endif
    /*--- Builtin init code ---*/
    if (__Pyx_InitCachedBuiltins() < 0) goto __pyx_L1_error;
    /*--- Constants init code ---*/
    if (__Pyx_InitCachedConstants() < 0) goto __pyx_L1_error;
    /*--- Global type/function init code ---*/
    (void)__Pyx_modinit_global_init_code();
    (void)__Pyx_modinit_variable_export_code();
    if (unlikely(__Pyx_modinit_function_export_code() != 0)) goto __pyx_L1_error;
    (void)__Pyx_modinit_type_init_code();
    if (unlikely(__Pyx_modinit_type_import_code() != 0)) goto __pyx_L1_error;
    if (unlikely(__Pyx_modinit_variable_import_code() != 0)) goto __pyx_L1_error;
    if (unlikely(__Pyx_modinit_function_import_code() != 0)) goto __pyx_L1_error;
    /*--- Execution code ---*/
    #if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)
    if (__Pyx_patch_abc() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    #endif
  
    /* "gensim/models/doc2vec_inner.pyx":14
   * 
   * import cython
   * import numpy as np             # <<<<<<<<<<<<<<
   * from numpy import zeros, float32 as REAL
   * cimport numpy as np
   */
    __pyx_t_1 = __Pyx_Import(__pyx_n_s_numpy, 0, -1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 14, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (PyDict_SetItem(__pyx_d, __pyx_n_s_np, __pyx_t_1) < 0) __PYX_ERR(0, 14, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":15
   * import cython
   * import numpy as np
   * from numpy import zeros, float32 as REAL             # <<<<<<<<<<<<<<
   * cimport numpy as np
   * 
   */
    __pyx_t_1 = PyList_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 15, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_INCREF(__pyx_n_s_zeros);
    __Pyx_GIVEREF(__pyx_n_s_zeros);
    PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_zeros);
    __Pyx_INCREF(__pyx_n_s_float32);
    __Pyx_GIVEREF(__pyx_n_s_float32);
    PyList_SET_ITEM(__pyx_t_1, 1, __pyx_n_s_float32);
    __pyx_t_2 = __Pyx_Import(__pyx_n_s_numpy, __pyx_t_1, -1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 15, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_zeros); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 15, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (PyDict_SetItem(__pyx_d, __pyx_n_s_zeros, __pyx_t_1) < 0) __PYX_ERR(0, 15, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_float32); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 15, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (PyDict_SetItem(__pyx_d, __pyx_n_s_REAL, __pyx_t_1) < 0) __PYX_ERR(0, 15, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":21
   * 
   * # scipy <= 0.15
   * try:             # <<<<<<<<<<<<<<
   *     from scipy.linalg.blas import fblas
   * except ImportError:
   */
    {
      __Pyx_PyThreadState_declare
      __Pyx_PyThreadState_assign
      __Pyx_ExceptionSave(&__pyx_t_3, &__pyx_t_4, &__pyx_t_5);
      __Pyx_XGOTREF(__pyx_t_3);
      __Pyx_XGOTREF(__pyx_t_4);
      __Pyx_XGOTREF(__pyx_t_5);
      /*try:*/ {
  
        /* "gensim/models/doc2vec_inner.pyx":22
   * # scipy <= 0.15
   * try:
   *     from scipy.linalg.blas import fblas             # <<<<<<<<<<<<<<
   * except ImportError:
   *     # in scipy > 0.15, fblas function has been removed
   */
        __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 22, __pyx_L2_error)
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_INCREF(__pyx_n_s_fblas);
        __Pyx_GIVEREF(__pyx_n_s_fblas);
        PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_fblas);
        __pyx_t_1 = __Pyx_Import(__pyx_n_s_scipy_linalg_blas, __pyx_t_2, -1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 22, __pyx_L2_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
        __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_fblas); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 22, __pyx_L2_error)
        __Pyx_GOTREF(__pyx_t_2);
        if (PyDict_SetItem(__pyx_d, __pyx_n_s_fblas, __pyx_t_2) < 0) __PYX_ERR(0, 22, __pyx_L2_error)
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  
        /* "gensim/models/doc2vec_inner.pyx":21
   * 
   * # scipy <= 0.15
   * try:             # <<<<<<<<<<<<<<
   *     from scipy.linalg.blas import fblas
   * except ImportError:
   */
      }
      __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
      __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
      goto __pyx_L7_try_end;
      __pyx_L2_error:;
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
  
      /* "gensim/models/doc2vec_inner.pyx":23
   * try:
   *     from scipy.linalg.blas import fblas
   * except ImportError:             # <<<<<<<<<<<<<<
   *     # in scipy > 0.15, fblas function has been removed
   *     import scipy.linalg.blas as fblas
   */
      __pyx_t_6 = __Pyx_PyErr_ExceptionMatches(__pyx_builtin_ImportError);
      if (__pyx_t_6) {
        __Pyx_AddTraceback("gensim.models.doc2vec_inner", __pyx_clineno, __pyx_lineno, __pyx_filename);
        if (__Pyx_GetException(&__pyx_t_1, &__pyx_t_2, &__pyx_t_7) < 0) __PYX_ERR(0, 23, __pyx_L4_except_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_GOTREF(__pyx_t_7);
  
        /* "gensim/models/doc2vec_inner.pyx":25
   * except ImportError:
   *     # in scipy > 0.15, fblas function has been removed
   *     import scipy.linalg.blas as fblas             # <<<<<<<<<<<<<<
   * 
   * from word2vec_inner cimport bisect_left, random_int32, sscal, REAL_t, EXP_TABLE, our_dot, our_saxpy
   */
        __pyx_t_8 = PyList_New(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 25, __pyx_L4_except_error)
        __Pyx_GOTREF(__pyx_t_8);
        __Pyx_INCREF(__pyx_n_s__10);
        __Pyx_GIVEREF(__pyx_n_s__10);
        PyList_SET_ITEM(__pyx_t_8, 0, __pyx_n_s__10);
        __pyx_t_9 = __Pyx_Import(__pyx_n_s_scipy_linalg_blas, __pyx_t_8, -1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 25, __pyx_L4_except_error)
        __Pyx_GOTREF(__pyx_t_9);
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        if (PyDict_SetItem(__pyx_d, __pyx_n_s_fblas, __pyx_t_9) < 0) __PYX_ERR(0, 25, __pyx_L4_except_error)
        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
        __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
        __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
        goto __pyx_L3_exception_handled;
      }
      goto __pyx_L4_except_error;
      __pyx_L4_except_error:;
  
      /* "gensim/models/doc2vec_inner.pyx":21
   * 
   * # scipy <= 0.15
   * try:             # <<<<<<<<<<<<<<
   *     from scipy.linalg.blas import fblas
   * except ImportError:
   */
      __Pyx_XGIVEREF(__pyx_t_3);
      __Pyx_XGIVEREF(__pyx_t_4);
      __Pyx_XGIVEREF(__pyx_t_5);
      __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5);
      goto __pyx_L1_error;
      __pyx_L3_exception_handled:;
      __Pyx_XGIVEREF(__pyx_t_3);
      __Pyx_XGIVEREF(__pyx_t_4);
      __Pyx_XGIVEREF(__pyx_t_5);
      __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5);
      __pyx_L7_try_end:;
    }
  
    /* "gensim/models/doc2vec_inner.pyx":31
   * DEF MAX_DOCUMENT_LEN = 10000
   * 
   * cdef int ONE = 1             # <<<<<<<<<<<<<<
   * cdef REAL_t ONEF = <REAL_t>1.0
   * 
   */
    __pyx_v_6gensim_6models_13doc2vec_inner_ONE = 1;
  
    /* "gensim/models/doc2vec_inner.pyx":32
   * 
   * cdef int ONE = 1
   * cdef REAL_t ONEF = <REAL_t>1.0             # <<<<<<<<<<<<<<
   * 
   * DEF EXP_TABLE_SIZE = 1000
   */
    __pyx_v_6gensim_6models_13doc2vec_inner_ONEF = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)1.0);
  
    /* "gensim/models/doc2vec_inner.pyx":280
   * 
   * 
   * def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,             # <<<<<<<<<<<<<<
   *                         train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
   *                         word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
    __pyx_t_7 = PyCFunction_NewEx(&__pyx_mdef_6gensim_6models_13doc2vec_inner_1train_document_dbow, NULL, __pyx_n_s_gensim_models_doc2vec_inner); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 280, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (PyDict_SetItem(__pyx_d, __pyx_n_s_train_document_dbow, __pyx_t_7) < 0) __PYX_ERR(0, 280, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":404
   * 
   * 
   * def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
   *                       learn_doctags=True, learn_words=True, learn_hidden=True,
   *                       word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
    __pyx_t_7 = PyCFunction_NewEx(&__pyx_mdef_6gensim_6models_13doc2vec_inner_3train_document_dm, NULL, __pyx_n_s_gensim_models_doc2vec_inner); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 404, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (PyDict_SetItem(__pyx_d, __pyx_n_s_train_document_dm, __pyx_t_7) < 0) __PYX_ERR(0, 404, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":544
   * 
   * 
   * def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,             # <<<<<<<<<<<<<<
   *                              learn_doctags=True, learn_words=True, learn_hidden=True,
   *                              word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
   */
    __pyx_t_7 = PyCFunction_NewEx(&__pyx_mdef_6gensim_6models_13doc2vec_inner_5train_document_dm_concat, NULL, __pyx_n_s_gensim_models_doc2vec_inner); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 544, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (PyDict_SetItem(__pyx_d, __pyx_n_s_train_document_dm_concat, __pyx_t_7) < 0) __PYX_ERR(0, 544, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  
    /* "gensim/models/doc2vec_inner.pyx":1
   * #!/usr/bin/env cython             # <<<<<<<<<<<<<<
   * # cython: boundscheck=False
   * # cython: wraparound=False
   */
    __pyx_t_7 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_7) < 0) __PYX_ERR(0, 1, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  
    /* ".eggs/Cython-0.29.14-py2.7-linux-x86_64.egg/Cython/Includes/numpy/__init__.pxd":1046
   *         raise ImportError("numpy.core.umath failed to import")
   * 
   * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
   *     try:
   *         _import_umath()
   */
  
    /*--- Wrapped vars code ---*/
  
    goto __pyx_L0;
    __pyx_L1_error:;
    __Pyx_XDECREF(__pyx_t_1);
    __Pyx_XDECREF(__pyx_t_2);
    __Pyx_XDECREF(__pyx_t_7);
    __Pyx_XDECREF(__pyx_t_8);
    __Pyx_XDECREF(__pyx_t_9);
    if (__pyx_m) {
      if (__pyx_d) {
        __Pyx_AddTraceback("init gensim.models.doc2vec_inner", __pyx_clineno, __pyx_lineno, __pyx_filename);
      }
      Py_CLEAR(__pyx_m);
    } else if (!PyErr_Occurred()) {
      PyErr_SetString(PyExc_ImportError, "init gensim.models.doc2vec_inner");
    }
    __pyx_L0:;
    __Pyx_RefNannyFinishContext();
    #if CYTHON_PEP489_MULTI_PHASE_INIT
    return (__pyx_m != NULL) ? 0 : -1;
    #elif PY_MAJOR_VERSION >= 3
    return __pyx_m;
    #else
    return;
    #endif
  }
  
  /* --- Runtime support code --- */
  /* Refnanny */
  #if CYTHON_REFNANNY
  static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
      PyObject *m = NULL, *p = NULL;
      void *r = NULL;
      m = PyImport_ImportModule(modname);
      if (!m) goto end;
      p = PyObject_GetAttrString(m, "RefNannyAPI");
      if (!p) goto end;
      r = PyLong_AsVoidPtr(p);
  end:
      Py_XDECREF(p);
      Py_XDECREF(m);
      return (__Pyx_RefNannyAPIStruct *)r;
  }
  #endif
  
  /* PyObjectGetAttrStr */
  #if CYTHON_USE_TYPE_SLOTS
  static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) {
      PyTypeObject* tp = Py_TYPE(obj);
      if (likely(tp->tp_getattro))
          return tp->tp_getattro(obj, attr_name);
  #if PY_MAJOR_VERSION < 3
      if (likely(tp->tp_getattr))
          return tp->tp_getattr(obj, PyString_AS_STRING(attr_name));
  #endif
      return PyObject_GetAttr(obj, attr_name);
  }
  #endif
  
  /* GetBuiltinName */
  static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
      PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name);
      if (unlikely(!result)) {
          PyErr_Format(PyExc_NameError,
  #if PY_MAJOR_VERSION >= 3
              "name '%U' is not defined", name);
  #else
              "name '%.200s' is not defined", PyString_AS_STRING(name));
  #endif
      }
      return result;
  }
  
  /* PyIntCompare */
  static CYTHON_INLINE PyObject* __Pyx_PyInt_NeObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED long inplace) {
      if (op1 == op2) {
          Py_RETURN_FALSE;
      }
      #if PY_MAJOR_VERSION < 3
      if (likely(PyInt_CheckExact(op1))) {
          const long b = intval;
          long a = PyInt_AS_LONG(op1);
          if (a != b) Py_RETURN_TRUE; else Py_RETURN_FALSE;
      }
      #endif
      #if CYTHON_USE_PYLONG_INTERNALS
      if (likely(PyLong_CheckExact(op1))) {
          int unequal;
          unsigned long uintval;
          Py_ssize_t size = Py_SIZE(op1);
          const digit* digits = ((PyLongObject*)op1)->ob_digit;
          if (intval == 0) {
              if (size != 0) Py_RETURN_TRUE; else Py_RETURN_FALSE;
          } else if (intval < 0) {
              if (size >= 0)
                  Py_RETURN_TRUE;
              intval = -intval;
              size = -size;
          } else {
              if (size <= 0)
                  Py_RETURN_TRUE;
          }
          uintval = (unsigned long) intval;
  #if PyLong_SHIFT * 4 < SIZEOF_LONG*8
          if (uintval >> (PyLong_SHIFT * 4)) {
              unequal = (size != 5) || (digits[0] != (uintval & (unsigned long) PyLong_MASK))
                   | (digits[1] != ((uintval >> (1 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK)) | (digits[2] != ((uintval >> (2 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK)) | (digits[3] != ((uintval >> (3 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK)) | (digits[4] != ((uintval >> (4 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK));
          } else
  #endif
  #if PyLong_SHIFT * 3 < SIZEOF_LONG*8
          if (uintval >> (PyLong_SHIFT * 3)) {
              unequal = (size != 4) || (digits[0] != (uintval & (unsigned long) PyLong_MASK))
                   | (digits[1] != ((uintval >> (1 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK)) | (digits[2] != ((uintval >> (2 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK)) | (digits[3] != ((uintval >> (3 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK));
          } else
  #endif
  #if PyLong_SHIFT * 2 < SIZEOF_LONG*8
          if (uintval >> (PyLong_SHIFT * 2)) {
              unequal = (size != 3) || (digits[0] != (uintval & (unsigned long) PyLong_MASK))
                   | (digits[1] != ((uintval >> (1 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK)) | (digits[2] != ((uintval >> (2 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK));
          } else
  #endif
  #if PyLong_SHIFT * 1 < SIZEOF_LONG*8
          if (uintval >> (PyLong_SHIFT * 1)) {
              unequal = (size != 2) || (digits[0] != (uintval & (unsigned long) PyLong_MASK))
                   | (digits[1] != ((uintval >> (1 * PyLong_SHIFT)) & (unsigned long) PyLong_MASK));
          } else
  #endif
              unequal = (size != 1) || (((unsigned long) digits[0]) != (uintval & (unsigned long) PyLong_MASK));
          if (unequal != 0) Py_RETURN_TRUE; else Py_RETURN_FALSE;
      }
      #endif
      if (PyFloat_CheckExact(op1)) {
          const long b = intval;
          double a = PyFloat_AS_DOUBLE(op1);
          if ((double)a != (double)b) Py_RETURN_TRUE; else Py_RETURN_FALSE;
      }
      return (
          PyObject_RichCompare(op1, op2, Py_NE));
  }
  
  /* DictGetItem */
  #if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
  static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) {
      PyObject *value;
      value = PyDict_GetItemWithError(d, key);
      if (unlikely(!value)) {
          if (!PyErr_Occurred()) {
              if (unlikely(PyTuple_Check(key))) {
                  PyObject* args = PyTuple_Pack(1, key);
                  if (likely(args)) {
                      PyErr_SetObject(PyExc_KeyError, args);
                      Py_DECREF(args);
                  }
              } else {
                  PyErr_SetObject(PyExc_KeyError, key);
              }
          }
          return NULL;
      }
      Py_INCREF(value);
      return value;
  }
  #endif
  
  /* ExtTypeTest */
  static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
      if (unlikely(!type)) {
          PyErr_SetString(PyExc_SystemError, "Missing type object");
          return 0;
      }
      if (likely(__Pyx_TypeCheck(obj, type)))
          return 1;
      PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
                   Py_TYPE(obj)->tp_name, type->tp_name);
      return 0;
  }
  
  /* PyObjectCall */
  #if CYTHON_COMPILING_IN_CPYTHON
  static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
      PyObject *result;
      ternaryfunc call = func->ob_type->tp_call;
      if (unlikely(!call))
          return PyObject_Call(func, arg, kw);
      if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
          return NULL;
      result = (*call)(func, arg, kw);
      Py_LeaveRecursiveCall();
      if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
          PyErr_SetString(
              PyExc_SystemError,
              "NULL result without error in PyObject_Call");
      }
      return result;
  }
  #endif
  
  /* PyDictVersioning */
  #if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
  static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {
      PyObject *dict = Py_TYPE(obj)->tp_dict;
      return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;
  }
  static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {
      PyObject **dictptr = NULL;
      Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;
      if (offset) {
  #if CYTHON_COMPILING_IN_CPYTHON
          dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);
  #else
          dictptr = _PyObject_GetDictPtr(obj);
  #endif
      }
      return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;
  }
  static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {
      PyObject *dict = Py_TYPE(obj)->tp_dict;
      if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))
          return 0;
      return obj_dict_version == __Pyx_get_object_dict_version(obj);
  }
  #endif
  
  /* GetModuleGlobalName */
  #if CYTHON_USE_DICT_VERSIONS
  static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)
  #else
  static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)
  #endif
  {
      PyObject *result;
  #if !CYTHON_AVOID_BORROWED_REFS
  #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
      result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
      __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
      if (likely(result)) {
          return __Pyx_NewRef(result);
      } else if (unlikely(PyErr_Occurred())) {
          return NULL;
      }
  #else
      result = PyDict_GetItem(__pyx_d, name);
      __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
      if (likely(result)) {
          return __Pyx_NewRef(result);
      }
  #endif
  #else
      result = PyObject_GetItem(__pyx_d, name);
      __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
      if (likely(result)) {
          return __Pyx_NewRef(result);
      }
      PyErr_Clear();
  #endif
      return __Pyx_GetBuiltinName(name);
  }
  
  /* RaiseArgTupleInvalid */
  static void __Pyx_RaiseArgtupleInvalid(
      const char* func_name,
      int exact,
      Py_ssize_t num_min,
      Py_ssize_t num_max,
      Py_ssize_t num_found)
  {
      Py_ssize_t num_expected;
      const char *more_or_less;
      if (num_found < num_min) {
          num_expected = num_min;
          more_or_less = "at least";
      } else {
          num_expected = num_max;
          more_or_less = "at most";
      }
      if (exact) {
          more_or_less = "exactly";
      }
      PyErr_Format(PyExc_TypeError,
                   "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)",
                   func_name, more_or_less, num_expected,
                   (num_expected == 1) ? "" : "s", num_found);
  }
  
  /* RaiseDoubleKeywords */
  static void __Pyx_RaiseDoubleKeywordsError(
      const char* func_name,
      PyObject* kw_name)
  {
      PyErr_Format(PyExc_TypeError,
          #if PY_MAJOR_VERSION >= 3
          "%s() got multiple values for keyword argument '%U'", func_name, kw_name);
          #else
          "%s() got multiple values for keyword argument '%s'", func_name,
          PyString_AsString(kw_name));
          #endif
  }
  
  /* ParseKeywords */
  static int __Pyx_ParseOptionalKeywords(
      PyObject *kwds,
      PyObject **argnames[],
      PyObject *kwds2,
      PyObject *values[],
      Py_ssize_t num_pos_args,
      const char* function_name)
  {
      PyObject *key = 0, *value = 0;
      Py_ssize_t pos = 0;
      PyObject*** name;
      PyObject*** first_kw_arg = argnames + num_pos_args;
      while (PyDict_Next(kwds, &pos, &key, &value)) {
          name = first_kw_arg;
          while (*name && (**name != key)) name++;
          if (*name) {
              values[name-argnames] = value;
              continue;
          }
          name = first_kw_arg;
          #if PY_MAJOR_VERSION < 3
          if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) {
              while (*name) {
                  if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))
                          && _PyString_Eq(**name, key)) {
                      values[name-argnames] = value;
                      break;
                  }
                  name++;
              }
              if (*name) continue;
              else {
                  PyObject*** argname = argnames;
                  while (argname != first_kw_arg) {
                      if ((**argname == key) || (
                              (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))
                               && _PyString_Eq(**argname, key))) {
                          goto arg_passed_twice;
                      }
                      argname++;
                  }
              }
          } else
          #endif
          if (likely(PyUnicode_Check(key))) {
              while (*name) {
                  int cmp = (**name == key) ? 0 :
                  #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
                      (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
                  #endif
                      PyUnicode_Compare(**name, key);
                  if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
                  if (cmp == 0) {
                      values[name-argnames] = value;
                      break;
                  }
                  name++;
              }
              if (*name) continue;
              else {
                  PyObject*** argname = argnames;
                  while (argname != first_kw_arg) {
                      int cmp = (**argname == key) ? 0 :
                      #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
                          (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
                      #endif
                          PyUnicode_Compare(**argname, key);
                      if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
                      if (cmp == 0) goto arg_passed_twice;
                      argname++;
                  }
              }
          } else
              goto invalid_keyword_type;
          if (kwds2) {
              if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
          } else {
              goto invalid_keyword;
          }
      }
      return 0;
  arg_passed_twice:
      __Pyx_RaiseDoubleKeywordsError(function_name, key);
      goto bad;
  invalid_keyword_type:
      PyErr_Format(PyExc_TypeError,
          "%.200s() keywords must be strings", function_name);
      goto bad;
  invalid_keyword:
      PyErr_Format(PyExc_TypeError,
      #if PY_MAJOR_VERSION < 3
          "%.200s() got an unexpected keyword argument '%.200s'",
          function_name, PyString_AsString(key));
      #else
          "%s() got an unexpected keyword argument '%U'",
          function_name, key);
      #endif
  bad:
      return -1;
  }
  
  /* GetItemInt */
  static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
      PyObject *r;
      if (!j) return NULL;
      r = PyObject_GetItem(o, j);
      Py_DECREF(j);
      return r;
  }
  static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
                                                                CYTHON_NCP_UNUSED int wraparound,
                                                                CYTHON_NCP_UNUSED int boundscheck) {
  #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
      Py_ssize_t wrapped_i = i;
      if (wraparound & unlikely(i < 0)) {
          wrapped_i += PyList_GET_SIZE(o);
      }
      if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {
          PyObject *r = PyList_GET_ITEM(o, wrapped_i);
          Py_INCREF(r);
          return r;
      }
      return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
  #else
      return PySequence_GetItem(o, i);
  #endif
  }
  static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
                                                                CYTHON_NCP_UNUSED int wraparound,
                                                                CYTHON_NCP_UNUSED int boundscheck) {
  #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
      Py_ssize_t wrapped_i = i;
      if (wraparound & unlikely(i < 0)) {
          wrapped_i += PyTuple_GET_SIZE(o);
      }
      if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {
          PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
          Py_INCREF(r);
          return r;
      }
      return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
  #else
      return PySequence_GetItem(o, i);
  #endif
  }
  static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
                                                       CYTHON_NCP_UNUSED int wraparound,
                                                       CYTHON_NCP_UNUSED int boundscheck) {
  #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
      if (is_list || PyList_CheckExact(o)) {
          Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
          if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {
              PyObject *r = PyList_GET_ITEM(o, n);
              Py_INCREF(r);
              return r;
          }
      }
      else if (PyTuple_CheckExact(o)) {
          Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
          if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {
              PyObject *r = PyTuple_GET_ITEM(o, n);
              Py_INCREF(r);
              return r;
          }
      } else {
          PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
          if (likely(m && m->sq_item)) {
              if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
                  Py_ssize_t l = m->sq_length(o);
                  if (likely(l >= 0)) {
                      i += l;
                  } else {
                      if (!PyErr_ExceptionMatches(PyExc_OverflowError))
                          return NULL;
                      PyErr_Clear();
                  }
              }
              return m->sq_item(o, i);
          }
      }
  #else
      if (is_list || PySequence_Check(o)) {
          return PySequence_GetItem(o, i);
      }
  #endif
      return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
  }
  
  /* ObjectGetItem */
  #if CYTHON_USE_TYPE_SLOTS
  static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
      PyObject *runerr;
      Py_ssize_t key_value;
      PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
      if (unlikely(!(m && m->sq_item))) {
          PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
          return NULL;
      }
      key_value = __Pyx_PyIndex_AsSsize_t(index);
      if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
          return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
      }
      if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
          PyErr_Clear();
          PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
      }
      return NULL;
  }
  static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
      PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
      if (likely(m && m->mp_subscript)) {
          return m->mp_subscript(obj, key);
      }
      return __Pyx_PyObject_GetIndex(obj, key);
  }
  #endif
  
  /* PyFunctionFastCall */
  #if CYTHON_FAST_PYCALL
  static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
                                                 PyObject *globals) {
      PyFrameObject *f;
      PyThreadState *tstate = __Pyx_PyThreadState_Current;
      PyObject **fastlocals;
      Py_ssize_t i;
      PyObject *result;
      assert(globals != NULL);
      /* XXX Perhaps we should create a specialized
         PyFrame_New() that doesn't take locals, but does
         take builtins without sanity checking them.
         */
      assert(tstate != NULL);
      f = PyFrame_New(tstate, co, globals, NULL);
      if (f == NULL) {
          return NULL;
      }
      fastlocals = __Pyx_PyFrame_GetLocalsplus(f);
      for (i = 0; i < na; i++) {
          Py_INCREF(*args);
          fastlocals[i] = *args++;
      }
      result = PyEval_EvalFrameEx(f,0);
      ++tstate->recursion_depth;
      Py_DECREF(f);
      --tstate->recursion_depth;
      return result;
  }
  #if 1 || PY_VERSION_HEX < 0x030600B1
  static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) {
      PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
      PyObject *globals = PyFunction_GET_GLOBALS(func);
      PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
      PyObject *closure;
  #if PY_MAJOR_VERSION >= 3
      PyObject *kwdefs;
  #endif
      PyObject *kwtuple, **k;
      PyObject **d;
      Py_ssize_t nd;
      Py_ssize_t nk;
      PyObject *result;
      assert(kwargs == NULL || PyDict_Check(kwargs));
      nk = kwargs ? PyDict_Size(kwargs) : 0;
      if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
          return NULL;
      }
      if (
  #if PY_MAJOR_VERSION >= 3
              co->co_kwonlyargcount == 0 &&
  #endif
              likely(kwargs == NULL || nk == 0) &&
              co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
          if (argdefs == NULL && co->co_argcount == nargs) {
              result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
              goto done;
          }
          else if (nargs == 0 && argdefs != NULL
                   && co->co_argcount == Py_SIZE(argdefs)) {
              /* function called with no arguments, but all parameters have
                 a default value: use default values as arguments .*/
              args = &PyTuple_GET_ITEM(argdefs, 0);
              result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
              goto done;
          }
      }
      if (kwargs != NULL) {
          Py_ssize_t pos, i;
          kwtuple = PyTuple_New(2 * nk);
          if (kwtuple == NULL) {
              result = NULL;
              goto done;
          }
          k = &PyTuple_GET_ITEM(kwtuple, 0);
          pos = i = 0;
          while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
              Py_INCREF(k[i]);
              Py_INCREF(k[i+1]);
              i += 2;
          }
          nk = i / 2;
      }
      else {
          kwtuple = NULL;
          k = NULL;
      }
      closure = PyFunction_GET_CLOSURE(func);
  #if PY_MAJOR_VERSION >= 3
      kwdefs = PyFunction_GET_KW_DEFAULTS(func);
  #endif
      if (argdefs != NULL) {
          d = &PyTuple_GET_ITEM(argdefs, 0);
          nd = Py_SIZE(argdefs);
      }
      else {
          d = NULL;
          nd = 0;
      }
  #if PY_MAJOR_VERSION >= 3
      result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
                                 args, (int)nargs,
                                 k, (int)nk,
                                 d, (int)nd, kwdefs, closure);
  #else
      result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
                                 args, (int)nargs,
                                 k, (int)nk,
                                 d, (int)nd, closure);
  #endif
      Py_XDECREF(kwtuple);
  done:
      Py_LeaveRecursiveCall();
      return result;
  }
  #endif
  #endif
  
  /* PyCFunctionFastCall */
  #if CYTHON_FAST_PYCCALL
  static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
      PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
      PyCFunction meth = PyCFunction_GET_FUNCTION(func);
      PyObject *self = PyCFunction_GET_SELF(func);
      int flags = PyCFunction_GET_FLAGS(func);
      assert(PyCFunction_Check(func));
      assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));
      assert(nargs >= 0);
      assert(nargs == 0 || args != NULL);
      /* _PyCFunction_FastCallDict() must not be called with an exception set,
         because it may clear it (directly or indirectly) and so the
         caller loses its exception */
      assert(!PyErr_Occurred());
      if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
          return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);
      } else {
          return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);
      }
  }
  #endif
  
  /* 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
  
  /* PyObjectCallMethO */
  #if CYTHON_COMPILING_IN_CPYTHON
  static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
      PyObject *self, *result;
      PyCFunction cfunc;
      cfunc = PyCFunction_GET_FUNCTION(func);
      self = PyCFunction_GET_SELF(func);
      if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
          return NULL;
      result = cfunc(self, arg);
      Py_LeaveRecursiveCall();
      if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
          PyErr_SetString(
              PyExc_SystemError,
              "NULL result without error in PyObject_Call");
      }
      return result;
  }
  #endif
  
  /* PyObjectCallOneArg */
  #if CYTHON_COMPILING_IN_CPYTHON
  static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
      PyObject *result;
      PyObject *args = PyTuple_New(1);
      if (unlikely(!args)) return NULL;
      Py_INCREF(arg);
      PyTuple_SET_ITEM(args, 0, arg);
      result = __Pyx_PyObject_Call(func, args, NULL);
      Py_DECREF(args);
      return result;
  }
  static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
  #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(func)) {
          return __Pyx_PyFunction_FastCall(func, &arg, 1);
      }
  #endif
      if (likely(PyCFunction_Check(func))) {
          if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
              return __Pyx_PyObject_CallMethO(func, arg);
  #if CYTHON_FAST_PYCCALL
          } else if (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
  
  /* 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");
  }
  
  /* GetTopmostException */
  #if CYTHON_USE_EXC_INFO_STACK
  static _PyErr_StackItem *
  __Pyx_PyErr_GetTopmostException(PyThreadState *tstate)
  {
      _PyErr_StackItem *exc_info = tstate->exc_info;
      while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) &&
             exc_info->previous_item != NULL)
      {
          exc_info = exc_info->previous_item;
      }
      return exc_info;
  }
  #endif
  
  /* SaveResetException */
  #if CYTHON_FAST_THREAD_STATE
  static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
      #if CYTHON_USE_EXC_INFO_STACK
      _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate);
      *type = exc_info->exc_type;
      *value = exc_info->exc_value;
      *tb = exc_info->exc_traceback;
      #else
      *type = tstate->exc_type;
      *value = tstate->exc_value;
      *tb = tstate->exc_traceback;
      #endif
      Py_XINCREF(*type);
      Py_XINCREF(*value);
      Py_XINCREF(*tb);
  }
  static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
      PyObject *tmp_type, *tmp_value, *tmp_tb;
      #if CYTHON_USE_EXC_INFO_STACK
      _PyErr_StackItem *exc_info = tstate->exc_info;
      tmp_type = exc_info->exc_type;
      tmp_value = exc_info->exc_value;
      tmp_tb = exc_info->exc_traceback;
      exc_info->exc_type = type;
      exc_info->exc_value = value;
      exc_info->exc_traceback = tb;
      #else
      tmp_type = tstate->exc_type;
      tmp_value = tstate->exc_value;
      tmp_tb = tstate->exc_traceback;
      tstate->exc_type = type;
      tstate->exc_value = value;
      tstate->exc_traceback = tb;
      #endif
      Py_XDECREF(tmp_type);
      Py_XDECREF(tmp_value);
      Py_XDECREF(tmp_tb);
  }
  #endif
  
  /* PyErrExceptionMatches */
  #if CYTHON_FAST_THREAD_STATE
  static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
      Py_ssize_t i, n;
      n = PyTuple_GET_SIZE(tuple);
  #if PY_MAJOR_VERSION >= 3
      for (i=0; i<n; i++) {
          if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
      }
  #endif
      for (i=0; i<n; i++) {
          if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
      }
      return 0;
  }
  static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
      PyObject *exc_type = tstate->curexc_type;
      if (exc_type == err) return 1;
      if (unlikely(!exc_type)) return 0;
      if (unlikely(PyTuple_Check(err)))
          return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
      return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
  }
  #endif
  
  /* GetException */
  #if CYTHON_FAST_THREAD_STATE
  static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb)
  #else
  static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb)
  #endif
  {
      PyObject *local_type, *local_value, *local_tb;
  #if CYTHON_FAST_THREAD_STATE
      PyObject *tmp_type, *tmp_value, *tmp_tb;
      local_type = tstate->curexc_type;
      local_value = tstate->curexc_value;
      local_tb = tstate->curexc_traceback;
      tstate->curexc_type = 0;
      tstate->curexc_value = 0;
      tstate->curexc_traceback = 0;
  #else
      PyErr_Fetch(&local_type, &local_value, &local_tb);
  #endif
      PyErr_NormalizeException(&local_type, &local_value, &local_tb);
  #if CYTHON_FAST_THREAD_STATE
      if (unlikely(tstate->curexc_type))
  #else
      if (unlikely(PyErr_Occurred()))
  #endif
          goto bad;
      #if PY_MAJOR_VERSION >= 3
      if (local_tb) {
          if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
              goto bad;
      }
      #endif
      Py_XINCREF(local_tb);
      Py_XINCREF(local_type);
      Py_XINCREF(local_value);
      *type = local_type;
      *value = local_value;
      *tb = local_tb;
  #if CYTHON_FAST_THREAD_STATE
      #if CYTHON_USE_EXC_INFO_STACK
      {
          _PyErr_StackItem *exc_info = tstate->exc_info;
          tmp_type = exc_info->exc_type;
          tmp_value = exc_info->exc_value;
          tmp_tb = exc_info->exc_traceback;
          exc_info->exc_type = local_type;
          exc_info->exc_value = local_value;
          exc_info->exc_traceback = local_tb;
      }
      #else
      tmp_type = tstate->exc_type;
      tmp_value = tstate->exc_value;
      tmp_tb = tstate->exc_traceback;
      tstate->exc_type = local_type;
      tstate->exc_value = local_value;
      tstate->exc_traceback = local_tb;
      #endif
      Py_XDECREF(tmp_type);
      Py_XDECREF(tmp_value);
      Py_XDECREF(tmp_tb);
  #else
      PyErr_SetExcInfo(local_type, local_value, local_tb);
  #endif
      return 0;
  bad:
      *type = 0;
      *value = 0;
      *tb = 0;
      Py_XDECREF(local_type);
      Py_XDECREF(local_value);
      Py_XDECREF(local_tb);
      return -1;
  }
  
  /* TypeImport */
  #ifndef __PYX_HAVE_RT_ImportType
  #define __PYX_HAVE_RT_ImportType
  static PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name,
      size_t size, enum __Pyx_ImportType_CheckSize check_size)
  {
      PyObject *result = 0;
      char warning[200];
      Py_ssize_t basicsize;
  #ifdef Py_LIMITED_API
      PyObject *py_basicsize;
  #endif
      result = PyObject_GetAttrString(module, class_name);
      if (!result)
          goto bad;
      if (!PyType_Check(result)) {
          PyErr_Format(PyExc_TypeError,
              "%.200s.%.200s is not a type object",
              module_name, class_name);
          goto bad;
      }
  #ifndef Py_LIMITED_API
      basicsize = ((PyTypeObject *)result)->tp_basicsize;
  #else
      py_basicsize = PyObject_GetAttrString(result, "__basicsize__");
      if (!py_basicsize)
          goto bad;
      basicsize = PyLong_AsSsize_t(py_basicsize);
      Py_DECREF(py_basicsize);
      py_basicsize = 0;
      if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())
          goto bad;
  #endif
      if ((size_t)basicsize < size) {
          PyErr_Format(PyExc_ValueError,
              "%.200s.%.200s size changed, may indicate binary incompatibility. "
              "Expected %zd from C header, got %zd from PyObject",
              module_name, class_name, size, basicsize);
          goto bad;
      }
      if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) {
          PyErr_Format(PyExc_ValueError,
              "%.200s.%.200s size changed, may indicate binary incompatibility. "
              "Expected %zd from C header, got %zd from PyObject",
              module_name, class_name, size, basicsize);
          goto bad;
      }
      else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) {
          PyOS_snprintf(warning, sizeof(warning),
              "%s.%s size changed, may indicate binary incompatibility. "
              "Expected %zd from C header, got %zd from PyObject",
              module_name, class_name, size, basicsize);
          if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
      }
      return (PyTypeObject *)result;
  bad:
      Py_XDECREF(result);
      return NULL;
  }
  #endif
  
  /* Import */
  static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
      PyObject *empty_list = 0;
      PyObject *module = 0;
      PyObject *global_dict = 0;
      PyObject *empty_dict = 0;
      PyObject *list;
      #if PY_MAJOR_VERSION < 3
      PyObject *py_import;
      py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
      if (!py_import)
          goto bad;
      #endif
      if (from_list)
          list = from_list;
      else {
          empty_list = PyList_New(0);
          if (!empty_list)
              goto bad;
          list = empty_list;
      }
      global_dict = PyModule_GetDict(__pyx_m);
      if (!global_dict)
          goto bad;
      empty_dict = PyDict_New();
      if (!empty_dict)
          goto bad;
      {
          #if PY_MAJOR_VERSION >= 3
          if (level == -1) {
              if (strchr(__Pyx_MODULE_NAME, '.')) {
                  module = PyImport_ImportModuleLevelObject(
                      name, global_dict, empty_dict, list, 1);
                  if (!module) {
                      if (!PyErr_ExceptionMatches(PyExc_ImportError))
                          goto bad;
                      PyErr_Clear();
                  }
              }
              level = 0;
          }
          #endif
          if (!module) {
              #if PY_MAJOR_VERSION < 3
              PyObject *py_level = PyInt_FromLong(level);
              if (!py_level)
                  goto bad;
              module = PyObject_CallFunctionObjArgs(py_import,
                  name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);
              Py_DECREF(py_level);
              #else
              module = PyImport_ImportModuleLevelObject(
                  name, global_dict, empty_dict, list, level);
              #endif
          }
      }
  bad:
      #if PY_MAJOR_VERSION < 3
      Py_XDECREF(py_import);
      #endif
      Py_XDECREF(empty_list);
      Py_XDECREF(empty_dict);
      return module;
  }
  
  /* ImportFrom */
  static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
      PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
      if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
          PyErr_Format(PyExc_ImportError,
          #if PY_MAJOR_VERSION < 3
              "cannot import name %.230s", PyString_AS_STRING(name));
          #else
              "cannot import name %S", name);
          #endif
      }
      return value;
  }
  
  /* CLineInTraceback */
  #ifndef CYTHON_CLINE_IN_TRACEBACK
  static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) {
      PyObject *use_cline;
      PyObject *ptype, *pvalue, *ptraceback;
  #if CYTHON_COMPILING_IN_CPYTHON
      PyObject **cython_runtime_dict;
  #endif
      if (unlikely(!__pyx_cython_runtime)) {
          return c_line;
      }
      __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
  #if CYTHON_COMPILING_IN_CPYTHON
      cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
      if (likely(cython_runtime_dict)) {
          __PYX_PY_DICT_LOOKUP_IF_MODIFIED(
              use_cline, *cython_runtime_dict,
              __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))
      } else
  #endif
      {
        PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
        if (use_cline_obj) {
          use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
          Py_DECREF(use_cline_obj);
        } else {
          PyErr_Clear();
          use_cline = NULL;
        }
      }
      if (!use_cline) {
          c_line = 0;
          PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
      }
      else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {
          c_line = 0;
      }
      __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
      return c_line;
  }
  #endif
  
  /* CodeObjectCache */
  static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
      int start = 0, mid = 0, end = count - 1;
      if (end >= 0 && code_line > entries[end].code_line) {
          return count;
      }
      while (start < end) {
          mid = start + (end - start) / 2;
          if (code_line < entries[mid].code_line) {
              end = mid;
          } else if (code_line > entries[mid].code_line) {
               start = mid + 1;
          } else {
              return mid;
          }
      }
      if (code_line <= entries[mid].code_line) {
          return mid;
      } else {
          return mid + 1;
      }
  }
  static PyCodeObject *__pyx_find_code_object(int code_line) {
      PyCodeObject* code_object;
      int pos;
      if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
          return NULL;
      }
      pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
      if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
          return NULL;
      }
      code_object = __pyx_code_cache.entries[pos].code_object;
      Py_INCREF(code_object);
      return code_object;
  }
  static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
      int pos, i;
      __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
      if (unlikely(!code_line)) {
          return;
      }
      if (unlikely(!entries)) {
          entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
          if (likely(entries)) {
              __pyx_code_cache.entries = entries;
              __pyx_code_cache.max_count = 64;
              __pyx_code_cache.count = 1;
              entries[0].code_line = code_line;
              entries[0].code_object = code_object;
              Py_INCREF(code_object);
          }
          return;
      }
      pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
      if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
          PyCodeObject* tmp = entries[pos].code_object;
          entries[pos].code_object = code_object;
          Py_DECREF(tmp);
          return;
      }
      if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
          int new_max = __pyx_code_cache.max_count + 64;
          entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
              __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry));
          if (unlikely(!entries)) {
              return;
          }
          __pyx_code_cache.entries = entries;
          __pyx_code_cache.max_count = new_max;
      }
      for (i=__pyx_code_cache.count; i>pos; i--) {
          entries[i] = entries[i-1];
      }
      entries[pos].code_line = code_line;
      entries[pos].code_object = code_object;
      __pyx_code_cache.count++;
      Py_INCREF(code_object);
  }
  
  /* AddTraceback */
  #include "compile.h"
  #include "frameobject.h"
  #include "traceback.h"
  static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
              const char *funcname, int c_line,
              int py_line, const char *filename) {
      PyCodeObject *py_code = 0;
      PyObject *py_srcfile = 0;
      PyObject *py_funcname = 0;
      #if PY_MAJOR_VERSION < 3
      py_srcfile = PyString_FromString(filename);
      #else
      py_srcfile = PyUnicode_FromString(filename);
      #endif
      if (!py_srcfile) goto bad;
      if (c_line) {
          #if PY_MAJOR_VERSION < 3
          py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
          #else
          py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
          #endif
      }
      else {
          #if PY_MAJOR_VERSION < 3
          py_funcname = PyString_FromString(funcname);
          #else
          py_funcname = PyUnicode_FromString(funcname);
          #endif
      }
      if (!py_funcname) goto bad;
      py_code = __Pyx_PyCode_New(
          0,
          0,
          0,
          0,
          0,
          __pyx_empty_bytes, /*PyObject *code,*/
          __pyx_empty_tuple, /*PyObject *consts,*/
          __pyx_empty_tuple, /*PyObject *names,*/
          __pyx_empty_tuple, /*PyObject *varnames,*/
          __pyx_empty_tuple, /*PyObject *freevars,*/
          __pyx_empty_tuple, /*PyObject *cellvars,*/
          py_srcfile,   /*PyObject *filename,*/
          py_funcname,  /*PyObject *name,*/
          py_line,
          __pyx_empty_bytes  /*PyObject *lnotab*/
      );
      Py_DECREF(py_srcfile);
      Py_DECREF(py_funcname);
      return py_code;
  bad:
      Py_XDECREF(py_srcfile);
      Py_XDECREF(py_funcname);
      return NULL;
  }
  static void __Pyx_AddTraceback(const char *funcname, int c_line,
                                 int py_line, const char *filename) {
      PyCodeObject *py_code = 0;
      PyFrameObject *py_frame = 0;
      PyThreadState *tstate = __Pyx_PyThreadState_Current;
      if (c_line) {
          c_line = __Pyx_CLineForTraceback(tstate, c_line);
      }
      py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
      if (!py_code) {
          py_code = __Pyx_CreateCodeObjectForTraceback(
              funcname, c_line, py_line, filename);
          if (!py_code) goto bad;
          __pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
      }
      py_frame = PyFrame_New(
          tstate,            /*PyThreadState *tstate,*/
          py_code,           /*PyCodeObject *code,*/
          __pyx_d,    /*PyObject *globals,*/
          0                  /*PyObject *locals*/
      );
      if (!py_frame) goto bad;
      __Pyx_PyFrame_SetLineNumber(py_frame, py_line);
      PyTraceBack_Here(py_frame);
  bad:
      Py_XDECREF(py_code);
      Py_XDECREF(py_frame);
  }
  
  /* CIntToPy */
  static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
      const int neg_one = (int) ((int) 0 - (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;\
      }
  
  /* CIntToPy */
  static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
      const long neg_one = (long) ((long) 0 - (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);
      }
  }
  
  /* 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) ((unsigned PY_LONG_LONG) 0 - (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 = (float)(1.0) / (b.real + b.imag * r);
                  return __pyx_t_float_complex_from_parts(
                      (a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
              }
          } else {
              float r = b.real / b.imag;
              float s = (float)(1.0) / (b.imag + b.real * r);
              return __pyx_t_float_complex_from_parts(
                  (a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
          }
      }
      #else
      static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
          if (b.imag == 0) {
              return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
          } else {
              float denom = b.real * b.real + b.imag * b.imag;
              return __pyx_t_float_complex_from_parts(
                  (a.real * b.real + a.imag * b.imag) / denom,
                  (a.imag * b.real - a.real * b.imag) / denom);
          }
      }
      #endif
      static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) {
          __pyx_t_float_complex z;
          z.real = -a.real;
          z.imag = -a.imag;
          return z;
      }
      static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) {
         return (a.real == 0) && (a.imag == 0);
      }
      static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) {
          __pyx_t_float_complex z;
          z.real =  a.real;
          z.imag = -a.imag;
          return z;
      }
      #if 1
          static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) {
            #if !defined(HAVE_HYPOT) || defined(_MSC_VER)
              return sqrtf(z.real*z.real + z.imag*z.imag);
            #else
              return hypotf(z.real, z.imag);
            #endif
          }
          static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
              __pyx_t_float_complex z;
              float r, lnr, theta, z_r, z_theta;
              if (b.imag == 0 && b.real == (int)b.real) {
                  if (b.real < 0) {
                      float denom = a.real * a.real + a.imag * a.imag;
                      a.real = a.real / denom;
                      a.imag = -a.imag / denom;
                      b.real = -b.real;
                  }
                  switch ((int)b.real) {
                      case 0:
                          z.real = 1;
                          z.imag = 0;
                          return z;
                      case 1:
                          return a;
                      case 2:
                          return __Pyx_c_prod_float(a, a);
                      case 3:
                          z = __Pyx_c_prod_float(a, a);
                          return __Pyx_c_prod_float(z, a);
                      case 4:
                          z = __Pyx_c_prod_float(a, a);
                          return __Pyx_c_prod_float(z, z);
                  }
              }
              if (a.imag == 0) {
                  if (a.real == 0) {
                      return a;
                  } else if (b.imag == 0) {
                      z.real = powf(a.real, b.real);
                      z.imag = 0;
                      return z;
                  } else if (a.real > 0) {
                      r = a.real;
                      theta = 0;
                  } else {
                      r = -a.real;
                      theta = atan2f(0.0, -1.0);
                  }
              } else {
                  r = __Pyx_c_abs_float(a);
                  theta = atan2f(a.imag, a.real);
              }
              lnr = logf(r);
              z_r = expf(lnr * b.real - theta * b.imag);
              z_theta = theta * b.real + lnr * b.imag;
              z.real = z_r * cosf(z_theta);
              z.imag = z_r * sinf(z_theta);
              return z;
          }
      #endif
  #endif
  
  /* Declarations */
  #if CYTHON_CCOMPLEX
    #ifdef __cplusplus
      static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
        return ::std::complex< double >(x, y);
      }
    #else
      static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
        return x + y*(__pyx_t_double_complex)_Complex_I;
      }
    #endif
  #else
      static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
        __pyx_t_double_complex z;
        z.real = x;
        z.imag = y;
        return z;
      }
  #endif
  
  /* Arithmetic */
  #if CYTHON_CCOMPLEX
  #else
      static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
         return (a.real == b.real) && (a.imag == b.imag);
      }
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
          __pyx_t_double_complex z;
          z.real = a.real + b.real;
          z.imag = a.imag + b.imag;
          return z;
      }
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
          __pyx_t_double_complex z;
          z.real = a.real - b.real;
          z.imag = a.imag - b.imag;
          return z;
      }
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
          __pyx_t_double_complex z;
          z.real = a.real * b.real - a.imag * b.imag;
          z.imag = a.real * b.imag + a.imag * b.real;
          return z;
      }
      #if 1
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
          if (b.imag == 0) {
              return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
          } else if (fabs(b.real) >= fabs(b.imag)) {
              if (b.real == 0 && b.imag == 0) {
                  return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag);
              } else {
                  double r = b.imag / b.real;
                  double s = (double)(1.0) / (b.real + b.imag * r);
                  return __pyx_t_double_complex_from_parts(
                      (a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
              }
          } else {
              double r = b.real / b.imag;
              double s = (double)(1.0) / (b.imag + b.real * r);
              return __pyx_t_double_complex_from_parts(
                  (a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
          }
      }
      #else
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
          if (b.imag == 0) {
              return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
          } else {
              double denom = b.real * b.real + b.imag * b.imag;
              return __pyx_t_double_complex_from_parts(
                  (a.real * b.real + a.imag * b.imag) / denom,
                  (a.imag * b.real - a.real * b.imag) / denom);
          }
      }
      #endif
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) {
          __pyx_t_double_complex z;
          z.real = -a.real;
          z.imag = -a.imag;
          return z;
      }
      static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) {
         return (a.real == 0) && (a.imag == 0);
      }
      static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) {
          __pyx_t_double_complex z;
          z.real =  a.real;
          z.imag = -a.imag;
          return z;
      }
      #if 1
          static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) {
            #if !defined(HAVE_HYPOT) || defined(_MSC_VER)
              return sqrt(z.real*z.real + z.imag*z.imag);
            #else
              return hypot(z.real, z.imag);
            #endif
          }
          static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
              __pyx_t_double_complex z;
              double r, lnr, theta, z_r, z_theta;
              if (b.imag == 0 && b.real == (int)b.real) {
                  if (b.real < 0) {
                      double denom = a.real * a.real + a.imag * a.imag;
                      a.real = a.real / denom;
                      a.imag = -a.imag / denom;
                      b.real = -b.real;
                  }
                  switch ((int)b.real) {
                      case 0:
                          z.real = 1;
                          z.imag = 0;
                          return z;
                      case 1:
                          return a;
                      case 2:
                          return __Pyx_c_prod_double(a, a);
                      case 3:
                          z = __Pyx_c_prod_double(a, a);
                          return __Pyx_c_prod_double(z, a);
                      case 4:
                          z = __Pyx_c_prod_double(a, a);
                          return __Pyx_c_prod_double(z, z);
                  }
              }
              if (a.imag == 0) {
                  if (a.real == 0) {
                      return a;
                  } else if (b.imag == 0) {
                      z.real = pow(a.real, b.real);
                      z.imag = 0;
                      return z;
                  } else if (a.real > 0) {
                      r = a.real;
                      theta = 0;
                  } else {
                      r = -a.real;
                      theta = atan2(0.0, -1.0);
                  }
              } else {
                  r = __Pyx_c_abs_double(a);
                  theta = atan2(a.imag, a.real);
              }
              lnr = log(r);
              z_r = exp(lnr * b.real - theta * b.imag);
              z_theta = theta * b.real + lnr * b.imag;
              z.real = z_r * cos(z_theta);
              z.imag = z_r * sin(z_theta);
              return z;
          }
      #endif
  #endif
  
  /* CIntToPy */
  static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) {
      const enum NPY_TYPES neg_one = (enum NPY_TYPES) ((enum NPY_TYPES) 0 - (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 PY_LONG_LONG __Pyx_PyInt_As_PY_LONG_LONG(PyObject *x) {
      const PY_LONG_LONG neg_one = (PY_LONG_LONG) ((PY_LONG_LONG) 0 - (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 int __Pyx_PyInt_As_int(PyObject *x) {
      const int neg_one = (int) ((int) 0 - (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 unsigned PY_LONG_LONG __Pyx_PyInt_As_unsigned_PY_LONG_LONG(PyObject *x) {
      const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG) ((unsigned PY_LONG_LONG) 0 - (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) ((npy_uint32) 0 - (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;
  }
  
  /* CIntFromPy */
  static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
      const long neg_one = (long) ((long) 0 - (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;
  }
  
  /* FastTypeChecks */
  #if CYTHON_COMPILING_IN_CPYTHON
  static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
      while (a) {
          a = a->tp_base;
          if (a == b)
              return 1;
      }
      return b == &PyBaseObject_Type;
  }
  static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
      PyObject *mro;
      if (a == b) return 1;
      mro = a->tp_mro;
      if (likely(mro)) {
          Py_ssize_t i, n;
          n = PyTuple_GET_SIZE(mro);
          for (i = 0; i < n; i++) {
              if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
                  return 1;
          }
          return 0;
      }
      return __Pyx_InBases(a, b);
  }
  #if PY_MAJOR_VERSION == 2
  static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
      PyObject *exception, *value, *tb;
      int res;
      __Pyx_PyThreadState_declare
      __Pyx_PyThreadState_assign
      __Pyx_ErrFetch(&exception, &value, &tb);
      res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
      if (unlikely(res == -1)) {
          PyErr_WriteUnraisable(err);
          res = 0;
      }
      if (!res) {
          res = PyObject_IsSubclass(err, exc_type2);
          if (unlikely(res == -1)) {
              PyErr_WriteUnraisable(err);
              res = 0;
          }
      }
      __Pyx_ErrRestore(exception, value, tb);
      return res;
  }
  #else
  static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
      int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
      if (!res) {
          res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
      }
      return res;
  }
  #endif
  static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
      Py_ssize_t i, n;
      assert(PyExceptionClass_Check(exc_type));
      n = PyTuple_GET_SIZE(tuple);
  #if PY_MAJOR_VERSION >= 3
      for (i=0; i<n; i++) {
          if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
      }
  #endif
      for (i=0; i<n; i++) {
          PyObject *t = PyTuple_GET_ITEM(tuple, i);
          #if PY_MAJOR_VERSION < 3
          if (likely(exc_type == t)) return 1;
          #endif
          if (likely(PyExceptionClass_Check(t))) {
              if (__Pyx_inner_PyErr_GivenExceptionMatches2(exc_type, NULL, t)) return 1;
          } else {
          }
      }
      return 0;
  }
  static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
      if (likely(err == exc_type)) return 1;
      if (likely(PyExceptionClass_Check(err))) {
          if (likely(PyExceptionClass_Check(exc_type))) {
              return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
          } else if (likely(PyTuple_Check(exc_type))) {
              return __Pyx_PyErr_GivenExceptionMatchesTuple(err, exc_type);
          } else {
          }
      }
      return PyErr_GivenExceptionMatches(err, exc_type);
  }
  static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
      assert(PyExceptionClass_Check(exc_type1));
      assert(PyExceptionClass_Check(exc_type2));
      if (likely(err == exc_type1 || err == exc_type2)) return 1;
      if (likely(PyExceptionClass_Check(err))) {
          return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
      }
      return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
  }
  #endif
  
  /* CheckBinaryVersion */
  static int __Pyx_check_binary_version(void) {
      char ctversion[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;
  }
  
  /* FunctionExport */
  static int __Pyx_ExportFunction(const char *name, void (*f)(void), const char *sig) {
      PyObject *d = 0;
      PyObject *cobj = 0;
      union {
          void (*fp)(void);
          void *p;
      } tmp;
      d = PyObject_GetAttrString(__pyx_m, (char *)"__pyx_capi__");
      if (!d) {
          PyErr_Clear();
          d = PyDict_New();
          if (!d)
              goto bad;
          Py_INCREF(d);
          if (PyModule_AddObject(__pyx_m, (char *)"__pyx_capi__", d) < 0)
              goto bad;
      }
      tmp.fp = f;
  #if PY_VERSION_HEX >= 0x02070000
      cobj = PyCapsule_New(tmp.p, sig, 0);
  #else
      cobj = PyCObject_FromVoidPtrAndDesc(tmp.p, (void *)sig, 0);
  #endif
      if (!cobj)
          goto bad;
      if (PyDict_SetItemString(d, name, cobj) < 0)
          goto bad;
      Py_DECREF(cobj);
      Py_DECREF(d);
      return 0;
  bad:
      Py_XDECREF(cobj);
      Py_XDECREF(d);
      return -1;
  }
  
  /* VoidPtrImport */
  #ifndef __PYX_HAVE_RT_ImportVoidPtr
  #define __PYX_HAVE_RT_ImportVoidPtr
  static int __Pyx_ImportVoidPtr(PyObject *module, const char *name, void **p, const char *sig) {
      PyObject *d = 0;
      PyObject *cobj = 0;
      d = PyObject_GetAttrString(module, (char *)"__pyx_capi__");
      if (!d)
          goto bad;
      cobj = PyDict_GetItemString(d, name);
      if (!cobj) {
          PyErr_Format(PyExc_ImportError,
              "%.200s does not export expected C variable %.200s",
                  PyModule_GetName(module), name);
          goto bad;
      }
  #if PY_VERSION_HEX >= 0x02070000
      if (!PyCapsule_IsValid(cobj, sig)) {
          PyErr_Format(PyExc_TypeError,
              "C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
               PyModule_GetName(module), name, sig, PyCapsule_GetName(cobj));
          goto bad;
      }
      *p = PyCapsule_GetPointer(cobj, sig);
  #else
      {const char *desc, *s1, *s2;
      desc = (const char *)PyCObject_GetDesc(cobj);
      if (!desc)
          goto bad;
      s1 = desc; s2 = sig;
      while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; }
      if (*s1 != *s2) {
          PyErr_Format(PyExc_TypeError,
              "C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
               PyModule_GetName(module), name, sig, desc);
          goto bad;
      }
      *p = PyCObject_AsVoidPtr(cobj);}
  #endif
      if (!(*p))
          goto bad;
      Py_DECREF(d);
      return 0;
  bad:
      Py_XDECREF(d);
      return -1;
  }
  #endif
  
  /* FunctionImport */
  #ifndef __PYX_HAVE_RT_ImportFunction
  #define __PYX_HAVE_RT_ImportFunction
  static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig) {
      PyObject *d = 0;
      PyObject *cobj = 0;
      union {
          void (*fp)(void);
          void *p;
      } tmp;
      d = PyObject_GetAttrString(module, (char *)"__pyx_capi__");
      if (!d)
          goto bad;
      cobj = PyDict_GetItemString(d, funcname);
      if (!cobj) {
          PyErr_Format(PyExc_ImportError,
              "%.200s does not export expected C function %.200s",
                  PyModule_GetName(module), funcname);
          goto bad;
      }
  #if PY_VERSION_HEX >= 0x02070000
      if (!PyCapsule_IsValid(cobj, sig)) {
          PyErr_Format(PyExc_TypeError,
              "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
               PyModule_GetName(module), funcname, sig, PyCapsule_GetName(cobj));
          goto bad;
      }
      tmp.p = PyCapsule_GetPointer(cobj, sig);
  #else
      {const char *desc, *s1, *s2;
      desc = (const char *)PyCObject_GetDesc(cobj);
      if (!desc)
          goto bad;
      s1 = desc; s2 = sig;
      while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; }
      if (*s1 != *s2) {
          PyErr_Format(PyExc_TypeError,
              "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
               PyModule_GetName(module), funcname, sig, desc);
          goto bad;
      }
      tmp.p = PyCObject_AsVoidPtr(cobj);}
  #endif
      *f = tmp.fp;
      if (!(*f))
          goto bad;
      Py_DECREF(d);
      return 0;
  bad:
      Py_XDECREF(d);
      return -1;
  }
  #endif
  
  /* InitStrings */
  static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
      while (t->p) {
          #if PY_MAJOR_VERSION < 3
          if (t->is_unicode) {
              *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
          } else if (t->intern) {
              *t->p = PyString_InternFromString(t->s);
          } else {
              *t->p = PyString_FromStringAndSize(t->s, t->n - 1);
          }
          #else
          if (t->is_unicode | t->is_str) {
              if (t->intern) {
                  *t->p = PyUnicode_InternFromString(t->s);
              } else if (t->encoding) {
                  *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
              } else {
                  *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
              }
          } else {
              *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
          }
          #endif
          if (!*t->p)
              return -1;
          if (PyObject_Hash(*t->p) == -1)
              return -1;
          ++t;
      }
      return 0;
  }
  
  static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
      return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
  }
  static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
      Py_ssize_t ignore;
      return __Pyx_PyObject_AsStringAndSize(o, &ignore);
  }
  #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
  #if !CYTHON_PEP393_ENABLED
  static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
      char* defenc_c;
      PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
      if (!defenc) return NULL;
      defenc_c = PyBytes_AS_STRING(defenc);
  #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
      {
          char* end = defenc_c + PyBytes_GET_SIZE(defenc);
          char* c;
          for (c = defenc_c; c < end; c++) {
              if ((unsigned char) (*c) >= 128) {
                  PyUnicode_AsASCIIString(o);
                  return NULL;
              }
          }
      }
  #endif
      *length = PyBytes_GET_SIZE(defenc);
      return defenc_c;
  }
  #else
  static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
      if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;
  #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
      if (likely(PyUnicode_IS_ASCII(o))) {
          *length = PyUnicode_GET_LENGTH(o);
          return PyUnicode_AsUTF8(o);
      } else {
          PyUnicode_AsASCIIString(o);
          return NULL;
      }
  #else
      return PyUnicode_AsUTF8AndSize(o, length);
  #endif
  }
  #endif
  #endif
  static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
  #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
      if (
  #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
              __Pyx_sys_getdefaultencoding_not_ascii &&
  #endif
              PyUnicode_Check(o)) {
          return __Pyx_PyUnicode_AsStringAndSize(o, length);
      } else
  #endif
  #if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
      if (PyByteArray_Check(o)) {
          *length = PyByteArray_GET_SIZE(o);
          return PyByteArray_AS_STRING(o);
      } else
  #endif
      {
          char* result;
          int r = PyBytes_AsStringAndSize(o, &result, length);
          if (unlikely(r < 0)) {
              return NULL;
          } else {
              return result;
          }
      }
  }
  static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
     int is_true = x == Py_True;
     if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
     else return PyObject_IsTrue(x);
  }
  static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {
      int retval;
      if (unlikely(!x)) return -1;
      retval = __Pyx_PyObject_IsTrue(x);
      Py_DECREF(x);
      return retval;
  }
  static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
  #if PY_MAJOR_VERSION >= 3
      if (PyLong_Check(result)) {
          if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
                  "__int__ returned non-int (type %.200s).  "
                  "The ability to return an instance of a strict subclass of int "
                  "is deprecated, and may be removed in a future version of Python.",
                  Py_TYPE(result)->tp_name)) {
              Py_DECREF(result);
              return NULL;
          }
          return result;
      }
  #endif
      PyErr_Format(PyExc_TypeError,
                   "__%.4s__ returned non-%.4s (type %.200s)",
                   type_name, type_name, Py_TYPE(result)->tp_name);
      Py_DECREF(result);
      return NULL;
  }
  static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
  #if CYTHON_USE_TYPE_SLOTS
    PyNumberMethods *m;
  #endif
    const char *name = NULL;
    PyObject *res = NULL;
  #if PY_MAJOR_VERSION < 3
    if (likely(PyInt_Check(x) || PyLong_Check(x)))
  #else
    if (likely(PyLong_Check(x)))
  #endif
      return __Pyx_NewRef(x);
  #if CYTHON_USE_TYPE_SLOTS
    m = Py_TYPE(x)->tp_as_number;
    #if PY_MAJOR_VERSION < 3
    if (m && m->nb_int) {
      name = "int";
      res = m->nb_int(x);
    }
    else if (m && m->nb_long) {
      name = "long";
      res = m->nb_long(x);
    }
    #else
    if (likely(m && m->nb_int)) {
      name = "int";
      res = m->nb_int(x);
    }
    #endif
  #else
    if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
      res = PyNumber_Int(x);
    }
  #endif
    if (likely(res)) {
  #if PY_MAJOR_VERSION < 3
      if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
  #else
      if (unlikely(!PyLong_CheckExact(res))) {
  #endif
          return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
      }
    }
    else if (!PyErr_Occurred()) {
      PyErr_SetString(PyExc_TypeError,
                      "an integer is required");
    }
    return res;
  }
  static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
    Py_ssize_t ival;
    PyObject *x;
  #if PY_MAJOR_VERSION < 3
    if (likely(PyInt_CheckExact(b))) {
      if (sizeof(Py_ssize_t) >= sizeof(long))
          return PyInt_AS_LONG(b);
      else
          return PyInt_AsSsize_t(b);
    }
  #endif
    if (likely(PyLong_CheckExact(b))) {
      #if CYTHON_USE_PYLONG_INTERNALS
      const digit* digits = ((PyLongObject*)b)->ob_digit;
      const Py_ssize_t size = Py_SIZE(b);
      if (likely(__Pyx_sst_abs(size) <= 1)) {
          ival = likely(size) ? digits[0] : 0;
          if (size == -1) ival = -ival;
          return ival;
      } else {
        switch (size) {
           case 2:
             if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
               return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
             }
             break;
           case -2:
             if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
               return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
             }
             break;
           case 3:
             if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
               return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
             }
             break;
           case -3:
             if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
               return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
             }
             break;
           case 4:
             if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
               return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
             }
             break;
           case -4:
             if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
               return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
             }
             break;
        }
      }
      #endif
      return PyLong_AsSsize_t(b);
    }
    x = PyNumber_Index(b);
    if (!x) return -1;
    ival = PyInt_AsSsize_t(x);
    Py_DECREF(x);
    return ival;
  }
  static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) {
    return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);
  }
  static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
      return PyInt_FromSize_t(ival);
  }
  
  
  #endif /* Py_PYTHON_H */
  